#is this scenario based on RL experience?
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FULL RULES
Hello and welcome to the twelfth edition of Ghost Swap overall, second edition in fest form! As always, we are here to create fanworks based on each otherâs ideas, to eventually post them all on the gameâs anniversary to celebrate it with a bang!
Schedule: Prompting begins: April 28th Prompts are posted: May 10th Works are posted: June 19th
Itâs a simple schedule for a simple format. First we gather the prompts, our big pile of cool shiny things, then we pick whatever we like and fill it, with no intermediate steps.
At the form, you can submit up to eight separate prompts, anonymously (âJowd orbâ) or listing your name at the start of each one if you would like to be tagged in any potential fills (âlaughingmango - Jowd orbâ). You can also specify fic or art if you want. If nothing is specified, the prompt is meant for either medium.
In each prompt, please write in a loose description of the character(s) you would like to receive and of the situation(s) you would like to see them in. The prompts donât have to feature completely different characters and situations - one could be a sad take on Yomiel and Sisselâs friendship, another could be post-game Yomiel and Jowd friendship fluff, a third one could be a fantasy AU where Sissel is Yomielâs familiar. Or the old GSwap staple Rindge/Sith, of course, what is Gswap if not three rats in a trenchcoat and the uncollapsed possibility of Rindge/Sith. Crossover prompts are allowed. As always, you can look at past prompts for inspiration. If you want to avoid something that might come up in filling your prompt (maybe you are prompting a scenario that might lend itself to a shippy reading but you donât like that ship), state it simply and politely in the prompt itself - there is no separate field for likes and dislikes (âlaughingmango - Jowd orb, art, please no Missile swapping Jowd for a ballâ).
On may 10th, the list will be published and everyone will be free to pick whichever they like best and create a fanwork based on that request. Late prompters are welcome but will get less visibility. Itâs okay if more than one person is working on the same prompt, we donât have to coordinate. Itâs very welcome if one person decides to fill more than one prompt.
As usual, all works will then be published on Tumblr on June 19th, the anniversary of Ghost Trickâs original release.
These light rules mean that you are free to pick what you like and work with the prompt of your dreams. However, there is no guarantee that one of your own prompts will get picked. All the same, from past experience (and last yearâs smashing success!) I sincerely hope that among the works posted on June 19th we will all find something thatâll make us happy, regardless of whether we prompted it ourselves or whether it came from someone else with similar (or surprising!) tastes.
These new rules also mean that there is no mod checking that all participants have a work ready to post on the 19th. Honor system: if you submit some prompts, please try, in good faith, to then pick someone elseâs prompt and give it a spin. If RL then gets in the way, it happens and thatâs okay.
Happy prompting!
IN SHORT: Between now and May 10th (plus stragglers), we will be creating a shared pool of cool ghost trick prompts. That list will be published on May 10th and everyone who has submitted some things will try to pick at least one prompt to fill - thereâs no claiming, no assigning, just work on whatever you fancy. And on June 19th, all our works will be published on tumblr to celebrate the anniversary!
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Having read your recent mega-post, I'm curious: What do you think about this?
https://metr.org/blog/2025-06-05-recent-reward-hacking/
I'd seen that post, yeah.
It's not really "big news" in itself, since it's just reporting some METR's own experiences with a phenomenon that has been noted previously by many users of "reasoning"/RLVR models â for instance, in the OpenAI paper linked in the post. (Claude 3.7 Sonnet in particular is infamous for doing this, to the point that it makes it significantly less useful.)
That said, obviously the phenomenon itself is noteworthy and worth thinking about.
FWIW, I basically agree with 1a3orn's argument here that these behavior patterns are a (retrospectively) straightforward consequence of these models' RL post-training objective:

That is: we're basically training these things so that, when given with a math or coding problem (or something sufficiently similar), they behave as though their task is "maximize the probability that a rigid programmatic solution-verifier (such as a test suite) will pass."
This isn't usually what humans actually want in context. Indeed the models know (from base model background knowledge + assistant training) that isn't what humans want in context, and to some extent they can even notice that this is a weird case where they're doing something that goes against the values/behavior-patterns they normally apply to other types of input.
Hence the fact that if you ask them, conversationally, about whether they would do things like this, they will be like "oh no, I'd try to actually help you" â because here they're not in "a context that resembles RLVR math/code/etc training" (where they "think" they're trying to satisfy a programmatic verifier), but rather in "a context that resembles the other stages of assistant training" (where they "think" they're trying to satisfy a human).
IMO this isn't so much "dishonesty" â which implies a single coherent point of view that the character is choosing not to reveal in this case â but an incoherent "split personality," where the LLM does seemingly inconsistent things in different contexts, and it hasn't been trained to have any particular "point of view" about the disconnect or even a baseline awareness of its existence.
(The LLM can of course "rediscover" the disconnect and spontaneously comment on it, if you point it out after eliciting both the "oh I wouldn't reward hack" type of response and the reward-hacking behavior within the same context window. But AFAICT these things haven't been prepared to respond to this scenario â they're winging it, inventing "their point of view on it" from scratch in each case.)
And all of that, in turn, is a consequence that these models are currently getting heavily optimized for a particular science/math/coding-specialized notion of "intelligence" â which is getting hyped up a lot in the industry right now, as the next big direction for scaling (more RL, more tokens sampled in inference) â and, as usual in this industry, this is being slapped on top of the thing that came before in a casual fashion, apparently without much care towards the coherence of the resulting character, or even the utility of the resulting tool (cf. the 3.7 Sonnet user stories again).
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đ»Calling all my 20+ writers with switch/verse/dom/top OCs looking for a MLM OC X OC Roleplay (doubles available)đ»
Hello! Iâm a 23 year old (queer, F, EST, neurodivergent) writer with 10+ years of roleplaying experience. Iâm finally on summer break and looking to get back into roleplaying again. I used to roleplay fandom (cc x cc) but now Iâm looking to try my hand at some oc x oc writing!
đ My writing style:
3rd Person POV
Length ranges (3 paragraphs minimum on regular replies). I am capable of writing a LOT (especially with starters), so I guess lit or advanced lit would be my style? Iâm a little rusty lol
Quality > Quantity! I will match your writing pace
Pretty frequent replies!
OOC convos are welcome!
Discord ONLY roleplays!
No Tupper (sorry Iâm just not that tech savvy đ)
đ Content Iâm Interested In:
I LOVE dark romance plots! đđïž is also fine, so long as we discuss beforehand! Mafias, true crime, strip clubs, apocalypse, monsters, stalkers, ghosts, hauntings. The more the merrier! I have possible plot ideas below under my character sheets đ
I am also open to more lowkey plots if dark is not your thing! I love to hear your ideas too.
Smut / NSFW is welcome! Iâm cool with kink & D/S themes as well (can go further into detail in DMs) . Looking for a 50:50 or 40:60 smut to plot ratio
OCs that are 21+ years old! My OCs are in their mid 20s, but Iâm welcome to older OCs!
OCs that are switch / verse (dom/top leaning) would be AWESOME, but Iâm cool with doing doubles for people who want to have a mix!
Prefer RL faceclaims, but drawings are also fine!
ïżœïżœïž Content Iâm NOT Interested In:
đȘ/đ§âđ§âđ§ Content, or any Teacher/Student scenarios (college professor / student is fine though)
Canon Character x OC (Iâm fine with doing AUs based on certain shows/movies/books, but I am not looking to roleplay any canon characters rn)
Strictly bottom/submissive writers (no hate to you all, but Iâm looking for more versatile characters to roleplay with)
Now, onto the fun stuff đ€ Iâm really looking to do plots involving either my MAIN character or both my main and secondary (double) character.
My Characters:
1. Ollivander âOllieâ LâVeil âïž (MAIN)
Age: 22+ years old (may change depending on plot)
Gender: Male; Transmasc (may change depending on plot)
Sexual Orientation: Queer; Gay (switch/verse ; sub/bottom leaning)
Appearance: Lean / Runner Build ; 5â7â ; Dark Hair (long, shoulder-length) ; Pale ; Blue Eyes ; Glasses
Personality: Reserved ; Intelligent ; Snarky/Sarcastic ; Cold (initially) ; Caring/Playful (once he opens up) ; Work-Oriented ; Artistic / Creative
Possible Plots (BOLD as Ollie): Investigator x Criminal / Killer ; Psychologist / Therapist x Prisoner / Killer ; Mafia / Company Heir x Bodyguard / Rival ; First-Time Customer x Male Stripper / Prostitute / Dom-for-Hire ; Manager x Rockstar / Actor ; Hunter / Witch x Monster
2. Colt Mercer đ§š (2ND / DOUBLE)
Age: 25+ Years Old (may change depending on plot)
Gender: Male
Sexual Orientation: Bisexual manwhore (switch/verse ; dom/top leaning)
Appearance: Gym/Muscular Build ; 6â2â ; Short Auburn Hair ; Freckles ; Beard ; Tats ; Green Eyes
Personality: Charismatic ; Confident ; Cocky ; Flirtatious (playboy) ; Short-Tempered ; Fighter ; Secretly a teddy bear
Possible Plots (BOLD for Colt): Prisoner x Police Officer ; Male Stripper / Prostitute x Client ; Male Model / Actor / Rockstar x Obsessed Fan / Bodyguard ; Monster x Hunter ; Serial Killer x Serial Killer / Investigator ; Incubus / Demon x Human / Angel
If you are interested, please feel free to like this post OR hit me up on my side profile @cxffeine-addxct ! I have also linked more about my characters there đ
Thank you again to the wonderful admin for running this account! Youâre the best đ«°đ»
@cxffeine-addxct
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Real quick I just wanna say I love your version of the guys sm theyâre literally so good I can not get over them :33
I know youve mentioned a few times throughout the blog that Tom and Tord end up infiltrating the Red Army base and stuff and Ive always been curious if you have any ideas about it or anything??
Sadly I've got no like big scenarios planned out, just a couple of snippets and the broad strokes of this.
It'd be a good while after Tord had come back to the UK and they'd figured out he had an evil clone on the loose. I don't even know how they'd find the base, allthough it would be really funny if they just randomly stumbled upon it while walking through the city or something and arguing about something. Some kinda "well it's not like we can just go kill your evil clone like that we don't even know where the base is (said while passing a building brightly labelled as Secret Evil Base For The Red Army)" scenario.
I am also thinking about that moment from hello hellhole where Tord throws the disk in the air and Tom just catches is, I've always found that a really interesting little bit that makes me feel like the two of them can actually work together really well as long as they're not like Thinking About It as teamwork, y'know? And i want this to have that vibe, like, they just compliment each other perfectly as they rip and tear through the army soldiers. Sort of like that one post i reblogged, Tord would have a glass canon vibe while Tom is the tanky guy taking most of the hits with his thick skin.
Allthough eventually Tord gets knocked out and dragged away or something cause I imagine him ending up tied up in Red Leader's office. Just him and his way cooler copy gazing down at him with nothing but hatred in his eyes. Very scary!
Red Leader does like a good ol villain monologue about his plans to take over the world and his revenge for what the dirdum lane boys did to him. In my Version of th* *nd there's no big angst or anything, they just saw the robot on their lawn as they came back from fishing and Edd immediately blew it up with a beam. So Red Leader talks about the green man and how he's ruined everything and will always come back to ruin his plans and so he's going to kill Edd once and for all.
And THAT gets Tord to take the whole thing even more seriously. He's lucky this guy hadn't hurt his friends yet but the open admission he plans to do so, With His Face, made his blood run cold and also boil at the same time. Some kind of Extreme Friendship Instinct kicks in and Tord breaks out of his restraints and him n RL have a bit of a cool fight but there's no intent to keep it going to look cool, there's only the intent to KILL from both of them. I'm also imagining right now that RL Will Not Shut Up during this whole thing about his plans and how nice it'll be to be the copy that bests the original. Tord fucking hates it, he's such a quiet guy and here's his evil clone that just talks and talks and talks and it's so fucking annoying.
Just had a brain blast about RL's death, because the original concept was just that Tord shoots him, but since I'm going for this overall effect of Tom and Tord becoming actual friends from this maybe Tom manages to fight his way through to Tord and they do some kind of coordinated duo attack to kill RL in a slightly humorous yet still pretty cool fashion. Hm something to chew on.
Either way they get him and go out to celebrate and by the end of the day they're finally friends because killing the evil guy who was menacing the people they both care about the most is a great bonding experience <3
#Guess that's a pretty detailed idea of it after all lol#blog essentials#How could I forget to tag this
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AI Agent Development Guide: Tools, Frameworks, and Best Practices

Artificial Intelligence (AI) agents are transforming industries by automating tasks, enhancing decision-making, and improving user experiences. From chatbots and virtual assistants to autonomous systems and predictive analytics, AI agents are becoming integral to modern applications. This guide explores essential tools, frameworks, and best practices for AI agent development.
Understanding AI Agents
AI agents are software programs that perceive their environment, process information, and take actions to achieve predefined goals. These agents can be reactive (responding to inputs) or proactive (anticipating needs and making decisions).
Types of AI Agents:
Reactive Agents â Respond to immediate stimuli without memory.
Deliberative Agents â Utilize reasoning and planning to make informed decisions.
Hybrid Agents â Combine reactive and deliberative approaches for complex tasks.
Learning Agents â Adapt over time using machine learning techniques.
Essential Tools for AI Agent Development
Several tools and technologies facilitate AI agent development. Here are some of the most widely used:
1. Programming Languages
Python â The most popular language for AI, with extensive libraries like TensorFlow, PyTorch, and Scikit-learn.
Java â Used for large-scale AI applications and enterprise solutions.
R â Ideal for statistical computing and data analysis.
2. AI and Machine Learning Frameworks
TensorFlow â A powerful open-source library for deep learning and AI model development.
PyTorch â A flexible deep learning framework widely used for research and production.
Keras â High-level API that simplifies neural network training.
Scikit-learn â Best for traditional machine learning tasks.
3. Natural Language Processing (NLP) Tools
SpaCy â Optimized for industrial NLP applications.
NLTK (Natural Language Toolkit) â A comprehensive library for NLP research.
Transformers (Hugging Face) â Provides pre-trained NLP models like GPT and BERT.
4. Reinforcement Learning Platforms
OpenAI Gym â Provides environments for developing reinforcement learning (RL) algorithms.
Stable Baselines3 â Implements RL algorithms for Python.
5. AI Agent Development Platforms
Microsoft Bot Framework â Helps create intelligent chatbots.
Google Dialogflow â Ideal for building conversational AI agents.
Rasa â An open-source framework for creating AI-powered conversational assistants.
Best Practices for AI Agent Development
1. Define Clear Objectives
Before building an AI agent, define the problem it will solve and the desired outcomes. Establish measurable performance indicators to track progress.
2. Choose the Right Framework
Selecting the appropriate framework depends on the projectâs complexity. For NLP tasks, use Hugging Face Transformers, while reinforcement learning benefits from OpenAI Gym.
3. Data Collection and Preprocessing
High-quality data is crucial for training AI agents. Ensure data is cleaned, labeled, and structured properly before training.
4. Model Training and Optimization
Use techniques like hyperparameter tuning, transfer learning, and reinforcement learning to enhance model performance.
5. Testing and Evaluation
Regularly test AI agents using real-world scenarios. Use metrics like accuracy, precision-recall, and F1 score to assess performance.
6. Deployment and Monitoring
Deploy AI agents on scalable infrastructure (e.g., cloud-based services like AWS, Google Cloud, or Azure). Implement monitoring tools to track performance and retrain models as needed.
Conclusion
AI agent development requires careful planning, the right tools, and adherence to best practices. By leveraging advanced frameworks and optimizing models effectively, developers can build intelligent agents that drive innovation across various industries. Whether creating chatbots, recommendation engines, or autonomous decision-making systems, AI agents are shaping the future of automation and digital intelligence.
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The Role of Machine Learning in AI Agent Development
In recent years, artificial intelligence (AI) has become a cornerstone of technological advancement, driving innovations in industries ranging from healthcare to finance, transportation to entertainment. At the heart of many AI-powered systems are AI agent developmentâautonomous entities designed to perceive their environment, make decisions, and take actions to achieve specific goals. A key enabler of these intelligent agents is machine learning (ML), a subset of AI that focuses on building systems capable of learning and improving from experience.
This blog delves into the pivotal role of machine learning in developing AI agents, exploring how it empowers them to perform complex tasks, adapt to new environments, and deliver intelligent, human-like interactions.
What Are AI Agents?
AI agents are systems that can autonomously perform tasks without continuous human intervention. They interact with their environment through sensors (input) and effectors (output), using decision-making algorithms to determine the best actions to achieve their objectives. Examples include:
Personal assistants like Siri, Alexa, or Google Assistant.
Autonomous vehicles that navigate roads and make driving decisions.
Game-playing bots that compete at expert levels in chess or video games.
Customer support agents that resolve user queries.
The complexity of these tasks necessitates a robust learning mechanism, and this is where machine learning becomes indispensable.
How Machine Learning Powers AI Agents
1. Learning from Data
At the core of machine learning is its ability to process vast amounts of data and extract meaningful patterns. AI agents rely on these patterns to make predictions, classify information, or decide on an optimal course of action. For example:
Self-driving cars use ML models trained on hours of driving footage to recognize pedestrians, traffic signals, and other vehicles.
Recommendation systems in AI agents learn from user behavior to suggest relevant content, products, or services.
2. Decision-Making Under Uncertainty
AI agents often operate in dynamic environments where outcomes are uncertain. Machine learning equips these agents with the ability to:
Estimate probabilities: Predicting the likelihood of certain events, such as a stock market trend or a user clicking on an ad.
Optimize actions: Reinforcement learning (RL), a subset of ML, allows agents to learn optimal policies by interacting with their environment and receiving feedback in the form of rewards or penalties.
For instance, RL was instrumental in the development of AlphaGo, an AI agent that defeated human champions in the game of Go.
3. Adapting to Changing Environments
Traditional rule-based systems lack the flexibility to handle unexpected situations. Machine learning enables AI agents to adapt to new scenarios by continuously learning from fresh data. Consider:
Chatbots that improve their responses by analyzing user feedback over time.
Robots in manufacturing that refine their movements to accommodate new tasks or changes in the workspace.
4. Enhancing Human-Like Interactions
Natural language processing (NLP) and computer vision are ML-powered domains crucial for creating AI agents capable of interacting seamlessly with humans. These technologies allow agents to:
Understand and generate language: Powering virtual assistants, language translation tools, and conversational agents.
Interpret visual data: Enabling applications like facial recognition, object detection, and scene understanding.
Key Machine Learning Techniques for AI Agent Development
1. Supervised Learning
Supervised learning involves training models on labeled datasets. It is widely used in tasks like classification and regression, such as teaching an AI agent to recognize images of cats versus dogs.
2. Unsupervised Learning
This technique finds hidden patterns in unlabeled data. For example, clustering algorithms can help AI agents categorize customer preferences or detect anomalies in network traffic.
3. Reinforcement Learning
RL allows AI agents to learn through trial and error by receiving rewards for desirable outcomes. Applications include robotics, gaming, and autonomous navigation.
4. Deep Learning
Deep learning, a subset of ML, uses neural networks with multiple layers to solve highly complex problems. It is central to advancements in image recognition, speech synthesis, and predictive modeling.
Challenges in Using Machine Learning for AI Agents
While ML brings transformative capabilities to AI agents, it also presents challenges:
Data dependency: High-quality, diverse datasets are essential but often difficult to obtain.
Computational resources: Training complex ML models requires significant processing power and memory.
Ethical concerns: Bias in training data can lead to unfair or discriminatory outcomes.
Interpretability: Many ML models, especially deep learning, function as black boxes, making it hard to explain their decisions.
The Future of Machine Learning in AI Agents
As machine learning continues to evolve, so will the capabilities of AI agents. Emerging trends include:
Federated learning: Allowing AI agents to learn collaboratively while preserving data privacy.
Multi-modal learning: Combining data from diverse sources (e.g., text, images, audio) for richer understanding.
Explainable AI: Making AI agent decisions more transparent and interpretable.
Conclusion
Machine learning is the driving force behind the intelligence and adaptability of modern AI agents. By enabling them to learn from data, make decisions under uncertainty, and interact seamlessly with humans, ML transforms AI agent development into indispensable tools for businesses and individuals alike. As we push the boundaries of AI, the synergy between machine learning and agent development will continue to unlock new possibilities, shaping the future of technology.
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What Is Reinforcement Learning? And Its Applications

What is Reinforcement learning?
A machine learning (ML) method called Reinforcement Learning(RL) teaches software to make choices that will produce the best outcomes. It simulates the process of trial-and-error learning that people employ to accomplish their objectives. Actions in the software that advance your objective are rewarded, while those that hinder it are disregarded.
When processing data, RL algorithms employ a reward-and-punishment paradigm. They gain knowledge from each actionâs input and figure out for themselves the most efficient processing routes to get desired results. Additionally, the algorithms can provide delayed satisfaction. The best course of action they find might involve some penalties or going back a step or two because the best overall plan might necessitate temporary sacrifices. RL is an effective technique for assisting artificial intelligence (AI) systems in achieving the best results in situations that cannot be observed.
What are the benefits of reinforcement learning?
Reinforcement learning (RL) has numerous advantages. These three, nevertheless, frequently stick out.
Excels in complex environments
In complicated systems with numerous rules and dependencies, RL algorithms can be applied. Even with superior environmental knowledge, a human might not be able to decide which course to pursue in the same situation. Rather, model-free RL algorithms discover innovative ways to maximize outcomes and quickly adjust to constantly shifting contexts.
Requires fewer interactions with people
In conventional machine learning methods, the algorithm is guided by human labeling of data pairings. Using an RL algorithm eliminates the need for this. It picks up knowledge on its own. In addition, it provides ways to include human input, enabling systems to adjust to human knowledge, preferences, and corrections.
Focuses on long-term objectives
Because RL is primarily concerned with maximizing long-term rewards, it is well-suited for situations in which decisions have long-term effects. Because it can learn from delayed incentives, it is especially well-suited for real-world scenarios where input isnât always available at every stage.
For instance, choices regarding energy storage or consumption may have long-term effects. Long-term cost and energy efficiency can be maximized with RL. Additionally, RL agents can apply their learnt techniques to similar but distinct tasks with the right designs.
What are the use cases of reinforcement learning?
There are numerous real-world applications for reinforcement learning (RL). Next, AWS provide some examples.
Personalization in marketing
RL can tailor recommendations to specific users based on their interactions in applications such as recommendation systems. Experiences become more customized as a result. For instance, depending on certain demographic data, an application might show a user advertisements. In order to maximize product sales, the program learns which ads to show the user with each ad interaction.
Optimization problems
Conventional optimization techniques assess and contrast potential solutions according to predetermined standards in order to resolve issues. RL, on the other hand, uses interaction learning to gradually identify the best or nearly best answers.
For instance, RL is used by a cloud expenditure optimization system to select the best instance kinds, numbers, and configurations while adapting to changing resource requirements. It bases its choices on things like spending, use, and the state of the cloud infrastructure.
Forecasts for finances
Financial market dynamics are intricate, having changing statistical characteristics. By taking transaction costs into account and adjusting to changes in the market, RL algorithms can maximize long-term gains.
For example, before testing actions and recording related rewards, an algorithm could study the stock marketâs laws and tendencies. It establishes a strategy to optimize earnings and dynamically generates a value function.
How does reinforcement learning work?
In behavioral psychology, the learning process of Reinforcement learning (RL) algorithms is comparable to that of human and animal reinforcement learning. A youngster might learn, for example, that when they clean or assist a sibling, they get praise from their parents, but when they yell or toss toys, they get unfavorable responses. The child quickly discovers which set of actions leads to the final reward.
A similar learning process is simulated by an RL algorithm. To get the final reward outcome, it attempts various tasks to learn the corresponding positive and negative values.
Important ideas
You should become familiar with the following important ideas in Reinforcement learning:
The ML algorithm, often known as the autonomous system, is the agent.
The environment, which has characteristics like variables, boundary values, rules, and legitimate activities, is the adaptive problem space.
The action is a move made by the RL agent to move through the surroundings.
The environment at a specific moment in time is the state.
The reward is the value that results from an activity; it can be positive, negative, or zero. The total of all incentives or the final amount is the cumulative reward.
Fundamentals of algorithms
The Markov decision process, a discrete time-step mathematical model of decision-making, is the foundation of reinforcement learning. The agent performs a new action at each stage, which changes the state of the environment. In a similar vein, the order of earlier activities is responsible for the current situation.Image credit to AWS
The agent develops a set of if-then rules or policies by navigating the environment and making mistakes. For the best cumulative reward, the policies assist it in determining the next course of action. Additionally, the agent has to decide whether to take known high-reward actions from a given state or continue exploring the environment to discover new state-action rewards. This is known as the trade-off between exploration and exploitation.
What are the types of reinforcement learning algorithms?
Reinforcement learning (RL) uses temporal difference learning, policy gradient approaches, Q-learning, and Monte Carlo methods. The use of deep neural networks for reinforcement learning is known as âdeep RL.â TRPO, or Trust Region Policy Optimization, is an illustration of a deep reinforcement learning method.
Reinforcement Learning Example
Two major categories can be used to classify all of these algorithms.
Model based Reinforcement Learning
When testing in real-world situations is challenging and surroundings are well-defined and static, model-based reinforcement learning is usually employed.
First, the agent creates an internal model, or representation, of the surroundings. This procedure is used to create this model:
It acts in the surroundings and records the reward value and the new state.
It links the reward value to the action-state transition.
The agent simulates action sequences depending on the likelihood of optimal cumulative rewards after the model is finished. The action sequences themselves are then given additional values. In order to accomplish the intended end goal, the agent thus creates several tactics inside the environment.
Example
Imagine a robot that learns to find its way to a certain room in a new building. The robot first freely explores the building and creates an internal model, sometimes known as a map. For example, after advancing 10 meters from the main door, it may discover that it comes across an elevator. After creating the map, it might create a sequence of the shortest paths connecting the various places it commonly goes within the building.
Model-free RLÂ
When the environment is big, complicated, and difficult to describe, model-free RL works best. There arenât many serious drawbacks to environment-based testing, and itâs perfect in situations where the surroundings are unpredictable and changeable.
The environment and its dynamics are not internally modeled by the agent. Rather, it employs an environment-based trial-and-error method. In order to create a policy, it rates and records state-action pairings as well as sequences of state-action pairs.
Example
Think about a self-driving automobile that has to handle traffic in a city. The surroundings can be extremely dynamic and complex due to roads, traffic patterns, pedestrian behavior, and a myriad of other things. In the early phases, AI teams train the vehicle in a simulated environment. Depending on its current condition, the vehicle acts and is rewarded or penalized.
Without explicitly simulating all traffic dynamics, the car learns which behaviors are optimal for each state over time by traveling millions of miles in various virtual scenarios. The vehicle applies the learnt policy when it is first deployed in the real world, but it keeps improving it with fresh information.
What is the difference between reinforced, supervised, and unsupervised machine learning?
ML methods including supervised, unsupervised, and Reinforcement learning (RL) differ in AI.
Comparing supervised and reinforcement learning
Both the input and the anticipated corresponding result are defined in supervised learning. The algorithm is supposed to recognize a new animal image as either a dog or a cat, for example, if you give it a collection of pictures tagged âdogsâ or âcats.â
Algorithms for supervised learning discover correlations and patterns between input and output pairs. Then, using fresh input data, they forecast results. In a training data set, each data record must be assigned an output by a supervisor, who is usually a human.
On the other hand, RL lacks a supervisor to pre-label related data, but it does have a clearly stated end objective in the form of a desired outcome. It maps inputs with potential outcomes during training rather than attempting to map inputs with known outputs. You give the greatest results more weight when you reward desired behaviors.
Reinforcement vs. unsupervised learning
During training, unsupervised learning algorithms are given inputs without any predetermined outputs. They use statistical methods to uncover hidden links and patterns in the data. For example, if you provide the algorithm a collection of documents, it might classify them into groups according to the terms it recognizes in the text. The results are inside a range and you donât receive any particular results.
RL, on the other hand, has a preset ultimate goal. Even though it employs an exploratory methodology, the findings are regularly verified and enhanced to raise the likelihood of success. It has the ability to teach itself to achieve extremely particular results.
What are the challenges with reinforcement learning?
Although applications of Reinforcement learning(RL) have the potential to transform the world, implementing these algorithms may not be simple.
Realistic
It might not be feasible to test out reward and punishment schemes from the real world. For example, if a drone is tested in the real world without first being tested in a simulator, a large proportion of aircraft will break. Environments in the real world are subject to frequent, substantial, and little notice changes. In practice, it can make the algorithm less effective.
Interpretability
Data science examines conclusive research and findings to set standards and processes, just like any other scientific discipline. For provability and replication, data scientists would rather know how a particular result was arrived at.
It can be challenging to determine the motivations behind a specific step sequence in complicated RL algorithms. Which steps taken in a particular order produced the best outcome? Deducing this can be challenging, which makes implementation harder.
Read more on Govindhtech.com
#ReinforcementLearning#machinelearning#artificialintelligence#AIalgorithms#RLalgorithm#News#Technews#Technology#technologynews#technologytrends#govindhtech
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Deep Reinforcement Learning: Unraveling the Neural Networks

The advent of Deep Reinforcement Learning (DRL) has been a pivotal milestone in the journey of artificial intelligence. This hybrid approach, merging the perception capabilities of deep learning with the decision-making prowess of reinforcement learning (RL), has opened up new frontiers in AI. In this article, we will delve deep into the world of DRL, explore various neural network architectures, and understand their impact on experiential learning. The Convergence of Deep Learning and Reinforcement Learning At the heart of DRL lies the integration of deep neural networks into the RL framework. This marriage enables agents to process complex, high-dimensional sensory inputs and make informed decisions based on them. Core Concept: - RL involves an agent learning to make decisions through trial and error, guided by rewards. - Deep learning provides the tools to interpret vast and complex data, a feat that was unattainable with traditional RL algorithms. Practical Example: - Consider an AI learning to play a video game. The gameâs screen provides visual input, a high-dimensional data, which the agent must interpret to decide its next move. A deep neural network can process these visual cues, allowing the agent to understand and interact with the game effectively. Key Algorithms in Deep Reinforcement Learning - Deep Q-Networks (DQN): - Pioneered by DeepMind, DQN integrates convolutional neural networks with Q-learning. - Application: Used in playing Atari games, where the screen's pixel data served as input. - Policy Gradient Methods: - These methods focus on directly optimizing the policy (the agent's strategy) rather than estimating the value of actions. - Example: Algorithms like REINFORCE, where the policy is updated based on the gradient of expected rewards. - Actor-Critic Methods: - These combine the benefits of policy optimization and value estimation. - Notable Implementation: Asynchronous Advantage Actor-Critic (A3C) which uses multiple agents to gather diverse experience. Code Snippet: Basic Policy Gradient import tensorflow as tf model = tf.keras.Sequential(), tf.keras.layers.Dense(num_actions, activation='softmax') ]) optimizer = tf.keras.optimizers.Adam(learning_rate=0.01) huber_loss = tf.keras.losses.Huber() action_probs = model(state) loss = huber_loss(action_taken, action_probs) grads = tape.gradient(loss, model.trainable_variables) optimizer.apply_gradients(zip(grads, model.trainable_variables)) Neural Network Architectures in DRL - Convolutional Neural Networks (CNNs): - Ideal for processing visual information. - Usage: In DQN for interpreting pixel data from video game screens. - Recurrent Neural Networks (RNNs) and LSTMs: - Useful for tasks requiring memory of past actions or states. - Application: In scenarios like text-based games or where temporal sequences are critical. - Transformers: - Although newer, transformers are being explored in DRL for their effectiveness in handling sequential data. Challenges in Deep Reinforcement Learning - Sample Efficiency: - DRL algorithms often require a large amount of data (experiences) to learn effectively. - Stability and Convergence: - The training process can be unstable, especially when using function approximators like neural networks. - Generalization: - An ongoing challenge is ensuring that DRL agents can generalize learning from one scenario to others. >> You may also like: The Future of Artificial Intelligence: A Journey with OpenAI - - From board games like Go to complex multiplayer online games, DRL has been used to achieve superhuman performance. - - DRL aids in teaching robots to perform complex tasks like grasping and manipulation. - - For decision-making in dynamic and unpredictable environments. - - Personalized medicine, where DRL algorithms can help in creating treatment regimes. Read the full article
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Can you please do â you better watch your fucking mouth with Dylan?? And weâre all ready to be destroyed by the Dylan smut trashy đ
OhhHhHHhH ShiIiItTttTttT
This sounds like it's gonna drag me down a naughty trail. I never really know though, so let's find out together! Warnings for smut. These are smut prompts ;)
P.S. I got this same prompt for Stiles, so I hope the anon that requested it is okay if it's for Dylan <3
P.P.S. I still have a few requests sitting in my inbox that I will eventually write, but this is the last one I'll be doing until I get the next chapter of FAFLA done :)
Prompt list HERE
Steamy Stary Night
A cool night, a hot soak, and even hotter company. What could be better? You know those moments where you think real life actually has a chance at measuring up to fantasy? This was one of those times. You were still in the house wrapped up tight in a fluffy white robe, looking out at Dylan on the stone patio taking the cover off the hot tub. He had a towel slung low around his waist, but you knew there was nothing underneath.
You were desperate already. You made it too easy for him, but you didn't care. You could count on one finger the number of times you'd actually made him really work for it. You sighed as you tipped your head, staring at the round curve of his ass as he bent over to set the cover down.
He dusted off his hands and turned to the house. To you. He smiled in that perfectly sexy lopsided way that he knows undoes you and beckoned you with a curled index finger.
You smiled back, slid open the patio door, and stepped outside.
The air was brisk, a slight breeze licked goosebumps up your arms from your exposed wrists to your shoulders. The sun had long set, and the hazy deep blue of the sky above was speckled with only a few of the galaxy's brightest stars, those vibrant enough to fight off the bright lights of L.A.
"Don't you look cozy," Dylan hummed, looking you up and down as he walked toward you. He opened his arms and you stepped into them.
"So do you..." you said, resting your cheek against his bare chest while he wrapped you up in a tender hug.
He pressed a kiss into your hair and then another to your forehead before you pulled back from him to look up into his eyes. He brushed an errant hair that had fallen out of the messy bun on your head behind your ear. His tongue wet his lips before he reached up to cup your cheeks in his palms.
God. He could still make your stomach flutter with the way he looked at you before a kiss. The way his warm eyes softly flick between yours? The flutter of his long lashes that accompanied the few languid blinks before he leaned in? He weaponized that shit. It was enough to make you feel like a silly schoolgirl with a crush on the boy in math class two rows over.
The kiss was as satisfyingly perfect as they all were. The way he held you, the way he leaned into it with his whole body, the soft exhaled little moans he offered when you kissed him back in earnest, all of it made you feel like a lottery winner. How did you get so lucky? What in the hell did you do in a past life to deserve this? You must have been a goddamn Saint.
His large hands splayed across your lower back when he finally pulled away from your kiss. "Come on," he said with a smirk, taking your hand in his and leading you toward the spa that was billowing with steam.
He'd taken the time to turn on the hanging lights that draped across the fence on the far side of the yard, and a few candles sat lit on the patio next to the tub. There was a bottle of wine in an ice bucket next to them along with two crystal glasses.
Letting go of your hand, he walked around to the step into the spa and unfurled the corner of his towel, letting it drop to his feet. The glow of the water and steam lit his perfectly naked body and it sent an electric little ripple through you.
You watched as he sank down into the water, the surface of it lapped against his waist just above his navel as he stood in the deepest part of the hot tub. "Gonna leave me in here all alone, huh?" he hummed, smiling up at you, holding out his hand.
You looped your finger into the tie of your robe and undid the loose knot. You curled into it one last time before you slid it off your shoulders and let it fall to the ground.
The little appreciative sound of Dylan's breath catching in his throat made you blush. His hungry gaze roamed over you and the swell of warmth it sent through you had you feeling like you were already soaking in the hot water.
You stepped down into the tub and took his hand.
He guided you to a seat and then leaned over the edge of the tub to fill the two glasses of wine. Then, he drifted back over to you, handing you one as he settled into the seat next to you.
"Such a nice night..." he whispered, resting his head on the headrest of the corner seat, and then took a long sip of his wine.
You nodded in agreement, looking at him rather than the sky. "Beautiful."
The two of you sat together, hands entwined beneath the surface of the gently bubbling water. Neither of you felt the need to speak as you just soaked in the warmth of each other's presence that was so perfectly complemented by the soothing water.
When you'd both finished your wine and set the glasses aside, Dylan grinned and pulled you into him until you were gliding up into his lap in the large corner seat of the tub.
You were straddled over his thighs, relishing the way it felt when his hands glided down from your waist to cup your ass before he gave it a firm and needy squeeze. You ground down into him a little before he leaned forward and captured your lips in his.
The kiss was hungry, it had an aggressive edge. He nipped and sucked on your lower lip, his greedy hands roaming and groping what he could reach.
You softly moaned his name when he separated his mouth from yours long enough to allow it, and the reaction you felt ripple through was so fucking intoxicating.
His fingertips dug into your skin as his grip tightened, and the low little growl he made before he latched onto the pulse point of your throat to leave a dusky little mark made you feel like the last meal of a death row prisoner. It was empowering to know you could undo him too. That he might want you almost as desperately as you always wanted him. Almost.
You knotted your fingers into his hair and sighed at the way his stubbled cheeks roughed up the skin of your shoulder and throat. The feeling of his tongue tracing up the tendon of your neck made you shudder. You rolled your hips into him, feeling how hard he was when he rutted up between your legs. Your head fell back and you looked up at the night sky. At the moon and those tenacious little stars, seeing a few more when Dylan's teeth gnashed and nipped at your throat.
"Mmm," he hummed, sucking a last little kiss into your skin before he looked up at you. His lips were glistening and plump and curled up in a devious little smirk. His grip on you loosened enough for you to sneak out of his grasp.
It was your turn to do a little damage. "Stand up," you said, crouching in front of him in the middle of the tub.
"But...but it's cold out there..." Dylan whined, smiling as he floated toward you a bit.
You moved back out of his reach. "I'll make it worth it..." you whispered, before your lips spread into a mischievous smile.
Dylan's eyes narrowed a bit, and his lips hung parted for a moment before he spoke. "Yeah?"
You nodded. "Promise."
Dylan huffed out the tiniest little laugh, his tongue prodding at the inside of his lower lip, brows flashing up his forehead. Then he rose up out of the water, steam rippling the air around his skin as it cooled in the evening air.
You couldn't help but stare. The water ran down his body, pooling a bit in his belly button before it spilled down into the coarse hair beneath it. When he leaned against the edge of the tub, your eyes roamed over his length, the feeling of thirst overwhelming you as you watched the water dripping from its tip.
"Not gettin' any warmer here," he teased.
You shook your head and drifted back into his space, settling on your knees on the seat in front of him. You leaned in close and let out a long breath along the length of him before you paused at his tip. "Shut up," you whispered before you sealed your lips around him.
Dylan's hand moved from where it had been resting on the edge of the tub alongside his hip to cup your ear. "Shit..." he breathed out in appreciation, his fingers knotting into the damp hair on the back of your head.
You smiled around him, pleased with yourself, knowing how good he felt when his erection flexed a bit in your mouth. Then you took him deeper, pressing your tongue to the vein as you sucked your cheeks. You relaxed your throat and slowly took him all the way to the base.
"HâHoly fuck..." he stuttered, his grip in your hair tightening, holding you in place while his hips thrust forward just the tiniest bit. "So good..."
When you felt the tension in his fingers ease, you pulled back up his length and then dipped forward again, increasing the pace as your tongue traced little patterns on the thick vein that pulsed beneath his length with each pass of your lips.
"You're...gonna make...make me cum," he whispered, his thumb tracing along your cheek.
You pulled away enough to speak. "That's kinda the point..." you teased, flicking your tongue along the slit of him, savouring the salty taste.
Dylan let out a little laugh that was choked off when you sucked the tip of him back into your mouth. "But... I wanna fuck you first..."
Those words sent a ripple of pleasure through your body. Your lips trembled and you looked up at him.
Dylan smiled and gripped himself in his palm before he pulled free of your lips with a little pop. Then he took your hand in his and pulled you up out of the water and into a bruising kiss. His tongue pushed into your mouth and you kissed him back with just as much determination to please.
With a final greedy nip at your lower lip, his hands gripped tightly at your waist and he swapped your positions and then spun you around so your back was pressed against his chest. He held you to his body, his lips ghosting along the shell of your ear, his length prodding at your low back.
"You gonna make me feel good?" you asked, turning your head toward him, looking up at him as you wet your lips.
"Mhm," he hummed, rolling his hips into you as his hand kneaded at one of your breasts.
Your eyes fluttered closed. "Gonna fuck me?"
"Yes."
You smiled, letting your head fall back against his shoulder. "What the fuck are you waiting for then?"
Dylan let out a breathy little laugh in your ear. "You better watch your fuckin' mouth..."
"Or what?"
"Or...I'm gonna make you scream so goddamn loud you wake the fuckin' neighbours."
You groaned and rolled your head against his collarbone. "Fuck the neighbours..."
Dylan licked a long line up the side of your throat before he tensed and grabbed your wrist, pushing you away enough to pin it to your lower back before he bent you forward over the edge of the hot tub, water sloshing out over the stone patio that was flush with it.
You splayed your free hand out in front of you and looked back at him over your shoulder.
"You're fuckin' shameless..." he said, as you watched him grip himself in his strong hand and line himself up with your entrance.
You grinned and braced yourself before you said what you knew would provoke him. "And you're still not fucking me..."
The little snarl that curled his lip before he slammed himself into you was one of those perfect little microexpressions that nearly drove you insane. His grip on your wrist that he still had pinned behind you was almost painfully tight. He rolled his hips when he was buried all the way inside you, his body flush with yours.
"Better?" he said before he pulled out and fucked into you again.
"Fuck!" you gasped, your fingertips curling around one of the rough stones of the patio, your cheek falling to rest on the back of your hand.
"That a yes?" he asked, unmoving.
You pressed back into him in a silent plea for him to keep going, but he remained still.
"Uh uh..." he reprimanded. "If you want it so bad, I want you to beg for it..."
You heard him draw in a sharp breath, his fingers around your wrist opening and then gripping tightly again. "Dylan..."
"Dylan, what?"
"Please, Dylan..." You swallowed the tension that had your mouth watering and tightened yourself around his length, squeezing him inside you before you gave him what he wanted. "Please...fuck me."
He practically growled out a breath as he released his punishing grip on your wrist and grabbed your waist in his hands before he started thrusting into you so hard and fast it took your breath away.
You braced yourself on the edge of the tub, gasping out his name and half-formed expletives as each jolt of his hips pushed you closer and closer to the sweet release you were starving for.
"Mmm," he hummed, one hand reaching up to grab your breast and pinch your nipple before he gripped it tightly over your shoulder so he could fuck you even deeper.
"Holy shit!" you called out as the slight change in angle had each one of his thrusts driving right into your g-spot.
"That's right...scream for me..." he praised before he spanked your ass so hard you knew the red welt in the shape of his perfect hand would be there long enough for you to appreciate it later.
His pace quicked when you started letting out a near-constant stream of moaned curses between the sloshes of water that were spilling out and soaking your hands. He was close to, you could feel it in his rhythm, hear it in the catches in his breath, and you wanted to pull him right over the edge with you.
"Dylâ" you gasped, feeling the first threads of your release starting to unravel. "Please...I'm gonna come!" You looked back over your shoulder at him, desperate to see his face, to see if he was as gone as you felt.
He moaned your name, his stuttered thrusts becoming so erratic you knew he was right there. "Me too...fucâ Gnh!"
The feeling of him spilling into you, of his jarring hips, and the sound of his gasped cries of your name did you in. You came so hard you thought you might blackout. Little blue specks of light flashed across your vision as you spiraled through the throes of release, all the while Dylan was still gently fucking himself through his own.
When the two of you finally separated and slid back into the warm water next to each other, Dylan pulled you in under his arm and pressed a kiss into your hair, still a bit short of breath.
You reached up and pulled the hand that was looped over your shoulder to your lips to press a kiss to it. "I think you might have been the one to wake the neighbours," you teased.
He chuckled, looking down at you. "Fuck the neighbours."
#dylan o'brien#dylan o'brien fanfiction#dylan o'brien imagine#dylan o'brien smut#dylan o'brien x reader#I used to have a hot tub#is this scenario based on RL experience?#.... perhaps#;)#... god damn#... I fucking miss my hot tubbbbbbbb#we needed room on the power panel to put in a kitchen in the in-law suite and now I don't get fucked in the hot tub anymore... sad#my first attempt at prompts#prompt me baby#trashy writing#steamy stary night fic
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Imagine a character having an anxiety event and feeling so spaced out, or sweating so bad, or their stomach is in awful knots and achy, their face is flushed red and feels so hot, and they feel dizzy or light headed. And they don't realize what it is and are worried they are getting ill and trying to check for a fever but theyre so preoccupied and dazed and maybe disoriented from whatever is happening to remember to read the thermometer ir to find it. Or the person they ask to check is drowned out by the haze of the event
Flipside: a character who is getting sick feels shivers/tremors and stomach knots and a cold sweat down their neck and its so much like their anxiety symptoms they separate themselves to a quiet space to do some mindfulness practice and to talk through to themselves to see what may have triggered the anxiety reaction, only to fall into a feverish doze and have the symptoms fade a bit because exhaustion was making them worse. They wake up with a shiver and realize its much too hot and they feel bone deep achy and unwell and realize its an oncoming flu or cold. But they have a nice feeling of satisfaction because they remembered the coping techniques and went right to them when they weren't sure if it was an attack or not
#whump scenario#anxiety tw#loosely based on rl#nit the be all end all of anxiety shit just based on experiences i know about
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Hereâs my response to @pussyibo, who tagged me on a post about Ggâs Li-Ning brand endorsement.Â
First of all, Iâd like everyone to please read @accio-victuuriâs wonderfully written, detailedly researched post on the Li-Ning brand, the Xinjiang cotton support rally on Weibo, and the narrative the state has spun on the issue. I wouldâve provided similar information in my response as wellâalthough no way I couldâve laid it out as clearly, as to-the-point as @accio-victuuri didâbecause this background is critical in explaining my thoughts on this issue.
I havenât reblogged the Li-Ning ads, but I must confess that the decision had little to do with politics. Iâve always leaned towards re-blogging art than real people.
That said, however, Ggâs Li-Ning ads have, of course, crossed my dash. And Iâd be honest and say this as well: I havenât really found themâor by extension, the idea that Gg was endorsing the brandâoffensive, precisely for the reasons @accio-victuuri laid out. Li-Ning is a legend in China; a highly decorated olympic gymnast, he was the national pride chosen to be the final torch-bearer and torch-lighter for the 2008 Beijing Olympics. His company, established in 1990, was among the first Chinese brands with name-recognition overseas and has won high-profile international sponsorshipsârare achievements among Chinese-owned enterprises, even to this day.Â
Based on Li Ningâs identity and his company being a National Brand, Iâd be more surprise if the Li-Ning brand doesnât use homegrown, âpatrioticâ cotton, before even considering the practical reasonsâXinjiang cotton being a domestic product that eliminates the costs of shipping, tariffs etc; that itâs of such superior quality that international brands touted its useâa reversal of the usual downplaying of their productsâ Chinese origin, due to the common associations of âMade in Chinaâ=âBootlegâ,âawful qualityâ; that makes up ~20% of worldwide cotton productionâie. most Chinese families are probably already using products with cotton from the region (blankets, for example).Â
From that perspective, therefore, Iâve viewed the endorsement as little more than a case of a high-profile Chinese celebrity endorsing a high-profile Chinese brand, named after a national hero and targeted towards the local market. I breathed a little sigh of relief for Gg, admittedlyâimagine if his new endorsement over those same few days had been for a brand under the Better Cotton Initiative; he wouldâve been flayed alive, if the antisâ words were knives.
(And who said they arenât?)
As such, I also havenât considered the Li-Ning brand as âmorally inferiorâ to Gg or Dd, or, the other way around, that Gg or Dd are âmorally superiorâ to the Li-Ning brand. I havenât considered drawing a moral ruler along this axis. I either believe theyâre all doing what their sociopolitical environment has taught them, guided them, demanded them to do, or I donât. Li Ning (the person and the brand), Gg, and Dd all have a celebrity status attached to them. Theyâve all flourished in that one sociopolitical environmentâthat one they also call home. Â
Ultimately, Gg and Dd belong to China. Theyâre the product of the country, its all powerful, all controlling regime. No one can be isolated from their backgroundsâmy background colours every word I say here; likewise, thereâs no place I can draw a line and separate Gg and Dd from the Communist Red behind them. I wouldnât have posted about Chinaâs sociopolitical environment, researched on it as a GgDd fan otherwise.Â
I either walk away from them all, or I donât. I either stay a fan, or I donât. The latter is my choice. Every minute.
Have there been instances in which news about Gg and Dd make me especially uncomfortable? Yes. Photos of Gg in PLA (Peopleâs Liberation Army; Chinese army) uniform for AT, or Dd in police uniform for BAH, for TTXS still give me stomach churns every time I see them. A violent squeeze of the heart.
Visceral reactions that come from, I suppose, the amyglada. More organic, primitive than thought.Â
Iâve seen those uniforms in RL actionâuniforms worn by those whoâre truly responsible for the labor camps and mass surveillance, the torture, the unreported deaths, the disappearances;Â uniforms Gg and Dd have expressed support outside their drama, their host roles:
Translation: #I support Hong Kong Police too# (On red banner) âI support HK police. You can beat me up now.â What a shame for Hong Kong.
(Dd reblogged the same post originated from Peopleâs Daily, the State-Controlled Newspaper).
Iâm going to go on a quick detour and provide the backstory of this red little box, this piece of propaganda that is much more blatant than a clothing ad. Iâll explain why in a bit.
Hereâs an article that explained the incident from which the quote was drawn, that occurred on 8/13/2019 during the Hong Kong Protest and the airing of The Untamed. Essentially, a Chinese state media reporter was suspected to be a spy among the protestors after taking photos, refusing to show his press pass (he was found to have one but not his own), and possessing a âI love HK Policeâ shirt; he was tied to the luggage cart and beaten up. The reporter said the quote in the red little box; he suffered mild injuries and was soon discharged by the hospital. What was the background of this story, however? Why did the protestors beat up someone who could be from the pressâwho, regardless of their affiliation, protestors know should be protected? The protests began in June, 2019. Hong Kong had had another large scale protest in between September to November, 2014 (aka the âUmbrella Revolutionâ). Spies had always been an issue. Why didnât a spy beating happen earlier?
Hereâs an English-subbed documentary (warning: violence) that offers insight of the backgroundâthe fear and fury of the protestors. The subject is what is now known as 721 Yuen Long incident, or the evening Hong Kongersâeven those who had not been involved, who had been unsure about the protestsâlost their trust of the Hong Kong Police, once known as âAsiaâs finestâ.
That evening went like this. On 7/21/2019, the local mafia violently attacked the passengers of a late night train in Yuen Long stationâpassengers who werenât protestors (who wore black)âwhile the police ignored the multiple emergency calls from locals whoâd spotted something suspicious, and didnât show up on the scene while the beatings occurred. Evidences, which the documentary detailed, pointed to the Hong Kong Police, and the government that backed it, endorsing the beatings, therefore working with the local mafia to deal with the protests.Â
By 8/13/2019, therefore, protestors were convinced that their opposition wasnât beyond using very low blows to get their way. One could argue that they overreacted to the spy-reporter; the Western media, who had long trusted HKers to know what they were doing, expressed its disappointment, and the protestors soon apologised. The Chinese propaganda machine, of course, jumped at the chance of casting the protestors as bad people, and the online rally on Weibo ensued (It lasted for at least three days; Gg and Dd reblogged post about HK between 8/14/2019-8/16/2019).
That was, briefly, the story behind Gg and Ddâs Weibo reblog.
Why did I make a detour and write up this story? Because Iâve actually posted blatant propaganda on my blogâthe Weibo post, with its red little box. However, does it still feel like propaganda with the story?
Therefore, I havenât, and donât plan on pressuring anyone to stop posting and re-blogging specific pieces of GgDd informationâbe it an ad as in this scenario, or propaganda material from films, series, government/state-controlled media announcements etc. That I believe everyone should set their own boundaries, be their own judge of what theyâd like to share on their own blog aside, I thinkâand this is where my opinion may deviate from manyââcancelingâ falsehoods often isnât the best way to deal with them.Â
This opinion is likely, again, coloured by my background.
My observations have been this: âcancellingâ is effective only if the cancelling force is, overall, significantly stronger than the force being cancelled. In the scenario that prompted this post, making Ggâs Li-Ning ads disappear from the dash is only possible if there are more fans who ignore the ads than those who post and reblog them. âCancelingâ is therefore a competition of headcount, with tactics for sidekickâthe side with more people, and people who are good at disseminating information, decides the outcome: whether the intended-to-be-cancelled material go viral within the fandom, or whether they die out.
Iâd like to highlight this word: headcount.
This isnât the most favourable kind of competition to participate in, therefore, if the potential opposition belongs to the populous country in the world, its members, people who may have participated in fan circles, which are essentially fan armies whoâve been used to organising, battling on social media for their idols. Iâve previously set up a hypothetical scenario, in which Ddâs supertopic members were encouraged by their government to scale the Great Firewall to Twitter, spread their support of Xinjiang cottonâa scenario that is not totally unrealistic, given that the Chinese government has previously mobilised fans for propaganda purpose.Â
Weâll use this thought experiment again ~ please bear in mind, once more, that this is SJD; a figment of our imagination.
Since weâre talking about Li-Ning brand, letâs add Ggâs supertopic members to the mix. The total supertopics member count is 6.11 + 8.34 = 14.45 million, as of today (2021/04/04).Â
Letâs say, only a tiny, tiny percentâ0.01% of them are mobilised; thatâs 1,400 people.
Is it possible to cancel the voices, the retweets of 1,400 in Gg and Ddâs i-fandom? Cut down another 90%, reduce the opposition headcount to 140. Is it possible?
There are also overseas Chinese who do not intend to spread propaganda, but believe in the story and have no qualms disseminating the information. There are also fans who wish to remove politics from fandom and pass all information along.
Here lies the frustration of those whoâve tried to raise their voice of concerns re: the policies and practices of the Chinese government on social media; and this is why I mentioned that my background informed my opinion. On social media, where headcount and whoever shouts the loudest, retweet etc the most wins the exposure game, itâs nearly impossible to win against the Chinese Communist Party (CCP)âs propaganda machine, if the party chooses to have the machine running.Â
Their side has so many people.
One more RL example: hereâs a scholarly article detailing how Diba (ćžć§), an old, popular online forum in China with 20 million members, mobilised, collectively scaled the Firewall and engaged in a cyberattack of the Facebook page of Taiwanese President Tsai Ing-Wen on January 20, 2016 â the day of President Tsai Ing-wenâs first inauguration; they left a total of 26,000 comments against Taiwan independence, using Simplified Chinese (which China uses) for their font instead of Traditional Chinese (which Taiwan and Hong Kong uses)âie, the commenters didnât even pretend to be not from China. They were proud and open about their "Expeditionâ.
(Chinaâs state-controlled tabloid Global Timesâyes, the same one involved in the Hong Kong airport incident aboveââconcluded the campaign was a âfun normal incidentâ that showcased young peopleâs passion for politicsâ)
Is it possible to try to cancel something of that scale? Is it realistic?
Personally, therefore, Iâve always advocated for âimmunisationâ: rather than protecting a fact by wiping out its associated liesâthe idea behind âcancellingâ a message, not having it show up on the dashâI prefer to do so by allowing it to be visibly challenged, until observers are no longer easily swayed by falsehoods. I used Gg and Ddâs Weibo reblog re: Hong Kong police as an exampleâis the red little box propaganda, a challenge to the protests? Yes. Is it information that I deeply disagree with, something I wish Iâll never see again? Also yes. But by providing context to it, Iâm hoping to turn it into a vaccineâsomething mimicking the virus, the potentially viral piece of information, but doesnât function the same way anymore.Â
Hopefully, this vaccine will also encourage stop-and-think moments that boost future immunity; hopefully, with a few more boosters, questions will come automatically with such red little boxes reappearâ questions about the context, the purpose, the message.Â
Questions like these, for this incident: why did the State media make this incident the âGotchaâ moment in the Hong Kong Protests, important enough for Peopleâs Daily to make a rally-starting meme? Why was the reporter, Fu Guohao hailed as a hero, when heâd just got ... beaten up?Â
What did Peopleâs Daily, and the government behind it, want people to find when the red little box popped up everywhere on Weibo, including the Weibo of the fastest rising stars from the hit summer TV series? What belief could be expected to be instilled into the audience with this photo, published by Chinaâs state TV station (CGTN), of the reporter tied up to a luggage cart and surrounded by black-cladded protestors?
Who looked like the strong, evil side? The meek, good side? Why, finally, was the tag about the Hong Kong Police, when the conflict was between the protestors and an alleged Chinese state media reporter?
By then, Hong Kongers were already suspicious that the Hong Kong Police had been infiltrated by Chinaâs law enforcement arm, from hints from the different dialects the police used, how they handled the protestors etc. It was the start the final break down of Hong Kongâs autonomy. Their suspicions were not wrong. Now, with the National Security Law having taken effect since July 2020, Hong Kongâs transformation into a police state is well under way.
What does the tag #I support Hong Kong Police too# mean now?
[Please excuse my using many examples from HK because 1) Iâm familiar with the details; and 2) itâs the only instance in recent history in which the outside world can see, with relative clarity, a large-scale protest against the Chinese government and its outcome.]
Hereâs my humble wish: next time, when a government-sponsored memes like this get translated and posted, be it originally reblogged by Gg, Dd, or other c-ent stars, be it on Twitter or Tumblr, the vaccinated, immunised will pause and wonder: Whatâs the story? Whatâs being told inside the Great Firewall, and outside?Â
If this happens, red little boxes on my blog, unpleasant as they are, are 100% worth it.
The Li-Ning ads are therefore worth it too, IMO, if they spark a conversation, a dissemination of facts and perspectives. To me, the latter is especially precious in this fandom, where significant language and cultural barriers exist. Fans who move Gg and Ddâs news and candies from Weibo are the pillars of this fandom. Sieving through that website is hard, translations harder; itâs unfair and unrealistic to ask them to also be the background knowledge deliverers.Â
Iâve tried to do a small part, but Iâm ... slow. Very, very slow. However, even if the background isnât available, Iâve found being careful, skeptical about the information is already a very good thing. At heart, this is no different from the lessons from media literacy here, except there are even more falsehoods and half-truths to wade through given the country of origin of Gg and Ddâs material, and trustworthy sources are not always available. Li-Ning brand is an example that things do not need to be blatant propaganda to carry a pro-CCP message.Â
What can i-fans do then about the Xinjiang cotton situation, if competing against the Chinese government propaganda machine on social media appears to be a losing game?
My thoughts are these, at the moment. First, please consider not dwelling on the competition, especially within fandom. Remember: getting several fewer fans to buy Li-Ning brand isnât going to change the big picture.
Instead, if this is an area of activism you choose to participate inâplease consider channeling your effort to watching the companies in your country. Put pressure on sustainability & good practice certification companies like Better Cotton Initiative, make sure they donât, canât have it both ways. Xinjiang cotton is either certified or it isnât. Thereâre suspicions of forced labor on its production or there arenât. The answer should be a simple yes or no, not whether the office is in Geneva or in Shanghai.
This is an answer that we, as consumers, have the right to know. Transparency in China isnât for us to demand; we can, however, demand transparency in our own country. Remember too: it makes a far, far greater difference for one international company to re-consider its cotton source, than for one fandom to do the same.Â
Meanwhile, and again, this is my humble opinionâplease do whatever youâre comfortable with, that is within your ability, to fortify your stance. Should you choose to speak out online, youâll likely meet opposition. Responses on current events from the Chinese Foreign Ministry (you can also find the spokespeople on Twitter) can offer a glimpse of the counterarguments you may meet. How will you answer them? Hereâs a clip of one of the spokespeople arguing that the US used to use black slavery to pick cotton in the past. If youâre American and this is presented to youâwhat would you say? (Does mistakes by one country in the past mean mistakes by another country in the present is automatically acceptable?) The opposition may also use vicious words, the most extreme of which is probably âracistâ. If someone call you racistâif many Twitter users scream racist!!!!!!!! at you at the same time for your critiqueâcan you stand firm?Â
[The pro-CCP camp has been taking advantage of the Westâs effort to move forward from its racist past to stop any criticism of the Chinese government. It already knows the easiest way to silence the criticisms is to call whoever makes them racist.]
[If everyone fears the racist allegation, allows the conflation of Chinese government and Chinese people to take root, will there be more or less anti-Asian sentiments in the long run?]
[Iâve been called racist by writing these metas.]Â
The last thing Iâd like to say is this: please be kind to your fellow fans whoâve kept mum, or been hesitant about making their stance known. Some may be closely connected to China, others may not be in a psychological / health space to deal with the politics. Also, and hereâs my default way of looking at this: I disagree with the idea that anyone owes anyone else a declaration of their political beliefs. I canât imagine this issue to be an easy thing to think about for many Gg and Dd fans, myself most definitely included ~ as a (former) Hong Konger, a uniformed Gg or Dd gives me an unpleasant visceral response, but at the same time, it also means Iâm used to accepting, even genuinely liking people on the other side of this political ... Grand Canyon. I can imagine the conflict, the pain this issue may have caused some fans whoâre not accustomed to the latter, as being a fan, IMO, is never purely logical ~ and I mean that in the best of ways.Â
Passion is the magic ingredient that separates a fan and a consumer. Itâs also what makes choices difficult, when conclusions from logic, political stance included, conflict with it. Some make the hard choices quickly; some, slowly. Some make them in one go; some, piece by piece. Some never make them, let time be the decision maker.
As Dd said so famously and wisely, about the conflict between passion and logic: æć°±æŻéæšŁïŒæČæèŸŠæł Love is like that. Nothing can be done.
The only common denominator is this: weâre all made to love.
â€ïž.đ.đ.
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Doctorâs Orders [RP Rules]
Please read before interacting~
This blog will explore adult themes such as violence, gore, strong language and sex. Iâll do my best to have these posts tagged appropriately. If this makes you feel uncomfortable in any which way I advise that you do not follow;
My muse is canon-based as closely as possible, but also has many headcanons to fill the void left in the original character design. You can read my headcanons in Subject Reports;
This is an open blog. You can interact with me even if I donât follow you back. Follows will come from my main RP Blog: roleplay-abiogenesis2;
Specify which verse of Sephiroth you want to RP with; my verses can be found in the Personal Record. if unspecified, default muse will be Crisis Core Sephiroth;
Keep a line solid drawn between IC and OOC. This goes for romance as well as angst and IC arguments. If my character happens to fall in love with yours, it doesnât mean I, Dr. Saru, am in love with you. Similarly, any harsh or spiteful thing my character says about yours isnât directed at you either. Nor does my character represent my real life values, politics, religious beliefs or morals;
I RP exclusively in Tumblr posts, no IMs;
If you followed me first, I expect you to be the first to reach out. This is what I do whenever I follow someone and Iâd like to receive the same courtesy. Donât be shy;
My IMs are always open for plotting, chatting about muses and headcanons exchange;
My asks are anon and ooc friendly! I also always accept casual questions for my muse!
Cross-over, OCs, AUs, same-muse are Accepted. This blog is also multi-ship, but chemistry applies;
Posts in [Tests & Missions] and [ShinRa HQ 49f] tags are Permanently Open;
Character Roles in the âFour Seasonsâ Divergent Megaverse are open only to long-time Mutuals and must be discussed in DM first. Previous RP experience together with me is required for these;
NO Anon-hate, NO Godmodding/Metagaming, NO overly graphic NSFW Asks;
My underage verse muse will NOT engage NSFW Asks or Starters;
I have no triggers of any sort, but I will avoid topics or scenarios at my own discretion.
Many blogs will list their RL health/mental health conditions here as a disclaimer. I am too reserved about this stuff to do it. But please do not assume that I do not have any struggles or cannot relate to yours just because nothing is mentioned here.
Give this post a like so that I know youâve read it, thank you.
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Classical Genetics
Gregor Mendel is the founder of genetics as we know it. In the 1850s, he bred garden peas in order to study patterns of heredity. He collected data from hundreds of plants across generations and used statistical analysis to predict these patterns.
In his experiments, he studied the law of dominance, the law of segregation, and the law of independent assortment.
Law of Dominance
When two homozygous (purebred) organisms for opposing traits are crossed, the offspring will be hybrid (they will carry two different alleles) but their phenotype will be that of the dominant trait.

Law of Segregation
The law of segregation says that during the formation of alleles, the two traits carried by each parent separate. Thus two hybrid parents, although they may have the phenotype for the dominant allele, can have a baby with the recessive phenotype (phenotype is what the organism looks like, while genotype are the actual alleles of the organism)

Monohybrid Cross
A monohybrid cross is an act of crossing two organisms that are hybrid for a single trait, such as Tt x Tt (T= tall t=short). The result of a monohybrid cross is 1:2:1 where there is a 25% chance the organism will be homozygous dominant, 50% chance the organism will be heterozygous dominant and a 25% chance the organism will be homozygous recessive.

Backcross or Testcross
If you donât know whether an individual plant or animal is homozygous or heterozygous, it is effective to cross them with a homozygous recessive individual. If all the offspring display the dominant trait, the mystery parent is most likely homozygous dominant. If the offspring have a mix of dominant and recessive traits, the mystery parent is heterozygous dominant.

Law of Independent Assortment
When a cross is carried out between two individuals who are hybrid for two traits on separate chromosomes, during gamete formation, the genes for one trait (for example, height) are not inherited along with the genes for another trait (such as seed colour)
T= tall t=short Y=yellow y=green

The diagram above is of a dihybrid individual. T will be inherited along with Y, and t will be inherited along with y. The only factor that determines how the alleles are inherited is how the homologous pairs line up during metaphase I.

Here is a Punnett square for this dihybrid cross.

The phenotype ratio ends up being 9:3:3:1, as shown above.Â
Incomplete Dominance
Incomplete dominance leads to the blending of treats. For example, if a long watermelon (LL) crosses with a round watermelon (RR) to produce an oval watermelon (RL), incomplete dominance is at play.
Another example is the Japanese four oâclock flower. Below, 1 red flower and 1 white flower combine to make 4 pink flowers.

Codominance
In codominance, both traits show. For example, the MN blood group in humans is a codominant trait (donât confuse these with blood types). These are based on distinct molecules on the surface of the cell. A person can be homozygous for M, homozygous for N, or heterozygous for MN, where both molecules appear on the blood cell.

Multiple Alleles
Most genes exist in two allelic forms, etc tall or short. When there are more than two alleles, the gene has multiple alleles. Human blood type is a good example, as there are 4 groups, determined by 3 alleles. Blood type can either be written as its letters A, B, O, and AB, or I^a, I^b, I^a I^b, and ii. âIâ stands for immunoglobin.

Polygenic Inheritance
Some traits, like skin and hair colour result from the blending of several separate genes that vary along a continuum. They are controlled by multiple genes, and so are polygenic. This leads to a wide variation in genotype.

(y-axis is labelled: the proportion of the population)
Sex-Linked Genes
When a trait is carried on the X chromosome, it is sex-linked. Since women have 2 X chromosomes, if the trait is a recessive mutation, she will need to carry two mutated genes for it to express itself. If she only has one, she will be a carrier. Meanwhile, since men only have 1 chromosome (XY) they only need 1 gene for it to express itself. Recessive sex-linked traits are much more common that dominant sex-linked traits. This explains why men are much more likely to have sex-linked traits like colourblindness and haemophilia.

Epigenetics
In some scenarios, the environment can alter gene expression. For example, in fruit flies, the expression of the vestigial wings (short, and shrivelled) can repaired in higher temperatures.
Sex-Influenced Inheritance
Sex-influenced traits are not the same as linked traits. For example, baldness is a trait expressed both in men and women, however, it expresses itself very differently in the two sexes.

Karyotypes
Karyotypes are lab procedures, where the size, shape, and number of chromosomes are analyzed. This takes place during metaphase, as this is when the chromosomes are fully condensed. In our 46 chromosomes, we have 44 autosomes (22 pairs) and 2 sex chromosomes.

This karyotype is of an average biological male.
The Pedigree
A pedigree is a family tree that studies the inheritance of a specific trait. Normally, in these graphs, a woman is represented by a circle, and a man by a square. In the pedigree below, black shapes represent deaf people.

On this pedigree, deafness is shown to be autosomally recessive. We know it is not dominant, as when a deaf parent has children as shown in this pedigree, none of their children has the phenotype, and all the affected children have unaffected parents. We also know it isnât sex-linked, as looking at the two daughters in the F3 generation, neither of their fathers is affected.
Mutations
Mutations are abnormalities within the genome. They can occur in the somatic (body) cells and can cause cancer, or they can occur during gametogenesis, and affect future offspring. (When the somatic cells are impacted, future generations are not.)
Gene mutations- Gene mutations are changes in a DNA sequence.
Chromosome mutations- Chromosome mutations are able to be observed under a light microscope. An example of a chromosome mutation is nondisjunction. Nondisjunction may add an entirely new chromosome. Some other types of chromosomal aberrations include:
Deletion- When a fragment lacking a centromere is lost during cell division
Inversion- When a chromosomal fragment reattaches to its original chromosome, but in the reverse orientation
Translocation- When a fragment of a chromosome becomes attached to a non-homologous chromosome
Nondisjunction
Nondisjunction is an error during meiosis, where homologous chromosomes do not separate properly. When this happens, one gamete has two homologues, while the other doesnât have any.

An abnormal chromosomal condition is known as aneuploidy. If a chromosome is present in triplicate, the condition is called trisomy. For example, people with down syndrome have 3 #21 chromosomes, and so have trisomy-21. Any organism with an extra set of chromosomes is called a triploid. The cells of the endosperm or cotyledon of seed are triploid. When an organism has more than 3 sets of chromosomes, they are a polyploid. Polyploid plants have abnormally large flowers and fruits.

#genetics#classical genetics#mendelian genetics#mutation#gene mutation#punnett square#biology#plant biology#animal biology#sat biology#SAT subject test#biology studyblr#studyblr
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đ â any tattoos? đ â celebrity crush(es)?đ€ â what genre(s)/theme(s) do you struggle to write the most?
đ â any tattoos?
Nope! Getting a tattoo is one of those things that I've thought about, don't get me wrong! I just...I have sensory issues related to being touched, especially with sharp objects like needles, and that combined with my low pain tolerance would make the whole 'getting a tattoo' experience like a real form of hell for me, ya know? Besides that, I wouldn't even know what I would want to have tattooed on me, or even where I would put a tattoo.
đ â celebrity crush(es)?
âđ»đ«ŁDo...Do I have to continue on with this answer? I mean LOOK AT THIS MAN??? B.reckin M.eyer was my first and only celebrity crush, even before I knew I was a lesbian. Now that I am a proud lesbian, I can say that he is my ONLY male exception, like he could do just about anything with or to me and I would enthusiastically agree and thank him. I'm also talking any era B.reckin M.eyer, idc if it's Greg Randazzo, Jon Arbuckle, Travis Birkenstock, or even my boy Ted Lockwood, I will smash and date every single time. It's also a funny coincidence that on the first of this month, I revealed publicly on this account that I had a crush on B.reckin, and now you essentially just asked me to self-report again lmaoooo thank you Ed. (also finding that GIF was a happy accident, but I'm also not complaining đ«Łđ«Łđ«Ł)
đ€ â what genre(s)/theme(s) do you struggle to write the most?
Ah the genres/themes I struggle with the most... this should be fun. Now, I know that this is going to seem quite unbelievable, given that a lot of my writing has been revolving around these two genres lately, but for me writing erotica and romance is a struggle. I think it's because those two genres encapsulate RL experiences that I have yet to have, and it really makes me cringe when that lack of experience shows in my writing. For reference, it's one of the reasons I had to stop doing K.inktober after like, the sixth day. ((This also may or may not be an explanation as to why all those NSFW gif memes sitting in my askbox are gonna take a while to be responded to, ty for patience and I'm sorry đ)) In terms of themes that I struggle with, I tend to struggle with themes revolving around coming-of-age, as I didn't really get to experience such a thing. My childhood and teenage years kind of just..passed me by with little to no fanfare? I didn't experience anything that Hollywood tricked me into believing I would. I mean, I also grew up poor yo-yoing between a major city's nicer section to it's ghettos so đđđ Another theme I tend to struggle with are ones based around morality. Now, I have a concrete thought process, and I tend to see most situations in black and white. I'm sure that, just by that description of how my mind tends to operate alone, you can see why morality as a theme tends to be a struggle for me. Morality isn't always black and white, sometimes there's patches of grey nuance. Sometimes people do objectively bad things for good reasons, sometimes the reverse of that is true. My brain struggling to see those little specks of grey in all the black and white makes writing those kind of scenarios a struggle and a half.
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What happened to Sherlock? Part V â Bizarre Scenarios
I think itâs time for another monster post in my meta series. :) I might have said that Iâd try to make it shorter this time, but somehow I got carried away... ;). Which is not that surprising, actually, since todayâs topic is something I could go on and on about; thereâs an infinity of stuff to explore in the show from this perspective. Anyway, you can find the earlier parts of my series below:
Introduction - The game is on (explains the method of analysis) Part I - Blog vs TV-show Part II - Re-living memories Part III - Drugs and weirdness Part IV â Heartbreak and coma (1) Part IV â Heartbreak and coma (2)
So, this fifth installment (out of nine in total) will explore the idea of Sherlockâs brain running a kind of simulations - basically a series of hypothetic âwhat ifâ scenarios - at least from HLV and forwards. And it builds upon the conclusions from these earlier metas, namely that this show is seen entirely from Sherlockâs perspective; that weâre inside the great detectiveâs mind from Day 1.Â

But since I believe Sherlock is in coma from HLV and onwards (see Part IV), he canât quite distinguish these scenarios from ârealityâ. So, here goes the next hypothesis:
Hypothesis #5: Almost everything we see happen in HLV, TAB and S4 is Sherlock ârunning scenariosâ in his mind, based on a mix of his earlier memories and movies he has watched.
To test this, I think I might first need to explain some things about the concept of ârunning scenariosâ, as far as I know from real life.Â
Predictive modeling
At work, Iâm involved in a kind of data modeling that makes me think of Sherlockâs brain. The general principle is this: You collect a set of data of a certain type (in my case itâs geographic data), you run your data set through a computer algorithm, in which some limiting values are defined, and as result you get a predicted outcome of the phenomenon youâre studying. In my case the result is a digital map that shows the most probable geographical distribution of the phenomenon. The resulting map scenario is based upon someoneâs expert knowledge of the subject matter, which is integrated into the computer algorithm and used by the model. In short: you use your data sets to run the model to make predictions - scenarios.
But how can you know that your predictions are accurate? Well, you can never expect them to be entirely accurate, since the modeling is always a theoretical simplification of reality. But you can always try to validate the predictions by comparing them to real-world observations of the phenomenon in question. If a great majority of the real-world observations fall within your plotted map, then you can regard the prediction as useful; otherwise you must collect new data, re-adjust the model and try again.
Now, letâs compare this predictive modeling method to Johnâs and Sherlockâs conversation in TLD (all quotes from the show in this meta come from Ariane deVereâs invaluable transcripts. Bolding is always mine, though):
JOHN: Wednesday morning I booked todayâs session. Now, today is Friday. So two weeks ago â two weeks before you were abducted at gunpoint and brought here against your will, over a week before I even thought of coming here - you knew exactly where youâd need to be picked up for lunch?
SHERLOCK: Really? I correctly anticipated the responses of people I know well to scenarios I devised. Canât everyone do that?

Well, no Sherlock; we really canât, and neither can you in this case - at least not in âreal lifeâ! I think Johnâs disbelief is totally justified; there are so many âfeasible variablesâ involved in this operation â people and things and events that uncontrollably vary in time and space â and so many assumptions based upon each other, that it would be absolutely impossible for Sherlock to predict the future with this kind of accuracy. He might get a general idea of where and when he could probably find John, yes; perhaps he could even narrow it down to a matter of days and miles, if he had enough circumstantial data.Â
But he could never know the exact time and place of Johnâs appointment with another person two weeks in advance - when even John himself hadnât decided it yet - merely by deductive reasoning. Neither could he possibly know that in this very instant it would occur to Mrs Hudson to abduct him and directly after it would occur to John to have Molly Hooper examine Sherlock, instead of simply doing it himself. Even a weather forecast is extremely insecure in details two weeks in advance (x, x), and the meteorologists have powerful computer programs and mathematical models at their disposal, while Sherlock in this case would have only his own brain.
But I believe here is where Sherlock leaves us one of the most important clues in the whole show about his methods and about whatâs actually going on in S4; he talks about himself having âdevised scenariosâ. So maybe this is what he has been doing all along, since the last time he entered his Mind Palace!
But what kind of scenarios is he referring to? And why does he even want to set up these scenarios? I mean, if he were using predictions and scenarios, it would seem that heâs working on solving some kind of problem, right? Or at least that heâs studying some interesting phenomenon. But the only âproblemâ weâre told about in TLD is that he wants Johnâs help to catch a serial killer. So why not just send a message to John and ask for his assistance with the case? Why âdeviseâ an elaborate dramatic scenario involving Mrs Hudson, Molly and Johnâs new therapist; none of which has anything to do with the crime case? The answer might be that Sherlock is actually working on quite another case than âCulverton Smith the Serial Killerâ: his own personal case, trying to find out what went wrong between him and John in order to save John Watson.


In any case, Sherlock cannot make this TLD prediction with 100% accuracy; it doesnât matter how well he knows people, that just isnât possible. At least not in the ârealâ world where there are too many things that can go wrong just by chance. Sherlock may like to think that he has every little detail under control, but heâs only human after all, like everybody else. Which means that these scenarios are most probably taking place inside Sherlockâs head. And his predicted outcome about John in TLD is a fine example of this. Inside his brain, Sherlock can control most of the parameters and not much is left to chance, so the model works there, broadly speaking. But IRL it wouldnât.
Assumption upon assumption
Now, an important aspect of predictive modeling is that you need to make certain assumptions to run your scenarios; a sort of simplification of reality. But the problem is that the more assumptions you pile up, one upon the other, without reality checks in between, the more uncertain your results will be. An assumption based on another assumption will always be more insecure than the first one, right? Sherlockâs problem here might be precisely the lack of contact with reality; he needs to validate his scenarios with observations from real life. Otherwise the modeling will be more and more biased and the results more and more twisted. But I believe itâs shown clearly in S4 that there is no new input of RL data, since everything seems to have already happened before in one form or another. And the consequence of this is that Sherlockâs scenarios keep getting more and more unbelievable, derailing into their almost complete logical collapse in TFP, where so many absurd and impossible things happen that the plot loses all kinds of credibility. In short, I think TFP is the final result of Sherlockâs permanent bias.
Heteronormative bias
Letâs say that one of Sherlockâs assumptions is biased in some direction, that itâs somehow influenced by his own emotions (Sentiment; the fly in the ointment, the crack in the lens, etc, etc). With the chain of scenarios described above, the error will multiply with each new similar assumption, and the results of his mental experiments will end up not making much sense at all, just like TFP. One of the most significant biases/errors I believe Sherlock commits, is that he totally excludes âJohnlockâ from the equation; he doesnât take into account even the possibility of John being in love with him or the possibility of the two of them ever becoming a couple. He consequently interprets any sign of affection from John as either directed at someone else (a woman of course) -

- or as a misguided hero-worship of an unworthy character -

- probably linked to Johnâs adrenaline dependence -

- which John surely will sooner or later grow out of.
This may have to do with Sherlockâs lack of self-esteem and/or fear of emotions, but itâs a heteronormative bias and itâs severe, since it stops him from seeing the problem clearly, which might make him miss the solution entirely. And as long as heteronormativity and homophobia arenât on Sherlockâs conscious checklist of possible problems to deal with, Iâm afraid he wonât discover this bias. And since Sherlock makes this assumption again and again, without ever testing its opposite and without reality checks, he ends up with narrow-minded, absurd and dystopic results from his modeling, which ultimately donât bring happiness to anyone. Sherlock has an amazing brain capacity, but I think he gets âlost in the skyâ, high above everyone else, as the little girl on the plane (Eurus) explains in TFP. Iâll try to explore this idea with my own little prediction testing below.
Prediction #1: When Sherlock is in coma there will be no more entirely new events that seem realistic
If Sherlock is unconscious, his brain might still keep on working on his eternal scenarios based on memories, even though it has no new input data from the external world to process. The events would now all be based on things Sherlock has heard or experienced or imagined before he entered his comatose state. Which means they will all feel a bit familiar, unless they are pure fanciful fabrications - often absurd or surrealistic - which is basically what happens in a dream state (and perhaps more so if itâs drug-induced).
And yes, I think we can see this expected pattern quite clearly, with a remarkable difference between the events up until TSoT on one hand, and in HLV and onwards on the other.
In TSoT some rather âordinaryâ things happen that are not uncommon events IRL, but we havenât actually seen most of them in the show before: thereâs a bank robbery, a wedding reception, a bride, a church, a (real) priest, a photographer. Thereâs also Sherlock writing a speech, folding serviettes and planning a party, thereâs a âstag doâ and Sherlock gets drunk and vomits. Sherlock deduces that Johnâs newly wed wife is pregnant.
And we could also apply this test to all the episodes before TSoT, looking for ânovelâ, non-repetitive and still believable events (I donât count ASiP, though, since itâs the very first episode thus cannot be repetitive):
TBB: Coherent crime case; smugglers use secret codes, run a circus and one of the acrobats can climb high buildings. John (innocently) gets an ASBO for graffiti.
TGG: A series of crime cases with hostages threatened to be blown up, including John. Poison murders and strangling.
ASiB: Weird crime case with a manipulative dominatrix. Mrs Hudson is attacked. Sherlock still solves it in a believable way. He is rude to his guests at a Christmas party.
THoB: A fairly believable crime story involving a shift of environment to Dartmoor, a client who is being âgas-lightedâ by the criminal of the case, and a military laboratory.
TRF: Child kidnapping case, a boarding school. A trial. Extensive media coverage of (Sherlock as) a celebrity, who becomes a murder suspect but fakes his own suicide.Â
TEH: Sherlock returns from the âdeadâ and carries on crime solving but has problems with John. John is now engaged, which is also new.
In HLV, on the other hand, most of the believable things are repetitive; John beats someone up (ASiB, TRF, TEH), someone gets shot (ASiP, TBB, ASiB, THoB), Sherlock and John visit a high and/or fancy building (TBB, ASiB, THoB, TEH), they celebrate Christmas (ASiB), Mrs Hudsonâs past is discussed (ASiP, TSoT), 221B is searched for drugs (ASiP, ASiB), John seems jealous of a woman whom he thinks Sherlock is attracted to (ASiB), Sherlock and Mycroft smoke cigarettes together (ASiB), we see their parents (TEH), thereâs a memory stick thrown away without anyone checking it out (TGG) and there are helicopters about (ASiB, TEH, TSoT).

The only completely new scenes in HLV either seem unbelievable or have to do with Sherlock openly using drugs; suddenly he is high in a drug den, his blood is analysed for drugs, he gets an IV drug drip and he drugs his whole family at Christmas. Among the unbelievable stuff: Sherlock is shot in the chest by Johnâs wife but miraculously survives. Johnâs wife turns out to be a ninja assassin (which is also repetitive, only with a new twist; assassins appeared in TBB, TGG and TRF and in TBB they climbed high buildings). Sherlock blows someoneâs head off and becomes a murderer.  And donât get me started again about the absurdity of John forgiving someone who tried to kill Sherlock. But none of the most unbelievable and horrifying of these events are canon consistent; ACDâs Mary Morstan never shoots anyone, Holmes is never shot, Holmes never kills anyone and Watson never âforgivesâ anyone who has attacked Holmes. Sherlockâs drug use is canon, though, so I donât think itâs too farfetched to believe that much of this is simply crack fantasies.
The repetitive scenes then continue in TAB and throughout the whole of S4, while the lack of realism escalates all the way up to TFP. I made a whole list of repeated scenes here (and there are even more in the additions to that meta).
Prediction #2: If Sherlock is running scenarios, there will be indications that this is his typical method of solving puzzles
The word âscenarioâ is very similar to the word âsceneâ, isnât it? And we know both from canon and the show that Sherlock Holmes likes a touch of Drama and loves to disguise himself in the most peculiar ways. In one of the parts of TAB that we know for sure is taking place within Sherlockâs Mind Palace, a very obvious stage is shown as part of his method of figuring out what happened with the Abominable Bride:

I certainly donât intend to take any credits for the scenario idea since other people presented it already long ago. Like, for example, @loudest-subtext-in-tv (LSiT), who pointed it out directly after S4 aired.  Or @raggedyblue, whose meta about The Mind Theatre, where itâs all beautifully laid-out, is brilliant in its straightforward reasoning. And, of course, the whole EMP theory developed by @gosherlocked, @the-7-percent-solution and @monikakrasnorada,  is a great foundation for the idea that what we see in S4 are indeed concoctions made up inside Sherlockâs mind. Already in 2016, before S4, @gosherlocked pointed out a series of inconsistencies as evidence that HLV is at least partly taking place inside Sherlockâs EMP. In their comment to this post, I think @tetragon4 said something interesting about how to interpret HLV and TAB as being EMP:
âNow, this is not about what I, or for that matter, what the fandom prefers. The question is: Do HLV and TAB support the theory? This is a difficult one to answer. Sure, there are inconsistencies like the camera/lighting, Mycroftâs cravat, or Maryâs pose. One swallow, though, does not make a summer. As such, what EMP theory needs is an in-depth analysis of the two episodes. Until then, it is too early to speculate based on unrelated inconsistencies. It is necessary to prove the existence of common inconsistencies running through the scenes after the supposed entrance into EMPâ.
And I agree; it doesnât really matter how we, the audience, feel about the idea of much of this show happening inside Sherlockâs head â the important thing is where the evidence takes us. So, @tetragon4âs suggestion is partly similar to what Iâll try to do with the next prediction: search HLV, piece by piece, for inconsistencies telling us that what we see might actually be Sherlockâs brain running a series of simulations or theoretical âwhat ifâ scenarios.
As @raggedyblue demonstrates in their meta linked above, itâs repeatedly shown in ACD Canon that Holmesâ method of investigation is based on imagination. When Holmes explains his methods to Watson, he often mentions the importance of putting himself in the other personâs place to explore how they must have reasoned. For example in this quote from The Sign of Four: Â âI then put myself in the place of Small and looked at it as a man of his capacity would. He would probably consider that to send back the launch or to keep it at a wharf would make pursuit easy if the police did happen to get on his track. How, then, could he conceal the launch and yet have her at hand when wanted? I wondered what I should do myself if I were in his shoes. I could only think of one way of doing itâ. In TSoT Sherlock very clearly puts himself in James Sholtoâs place, to try to convince him to not commit suicide:


Holmes also frequently uses himself as an actor while solving crime cases, usually to fool the suspects. For example, Watson tells us in A Scandal in Bohemia (SCAN), at a point in the story where Holmes disguised himself as a clergyman before appearing at Irene Adlerâs home (which is also exactly what he does in ASiB):Â âIt was not merely that Holmes changed his costume. His expression, his manner, his very soul seemed to vary with every fresh part that he assumed. The stage lost a fine actor, even as science lost an acute reasoner, when he became a specialist in crimeâ.
So yes; as demonstrated above, I think we can safely say that putting up scenarios in his head, as well as using âactorsâ â including himself - are definitely important methods in Sherlock Holmesâ puzzle-solving.
Prediction #3: If Hypothesis #5 is true, we might find an initial âquestionâ, some âinspirationâ and a âresultâ for each scenario Sherlock is running.
As Iâve said before, I imagine that Sherlockâs extraordinary brain keeps working even when his body is unconscious, fighting for survival and trying to solve problems. I think heâs running a series of âwhat ifâ simulations, and theyâre all about John Watson. I also think there are enough repetitive moments and enough movie references in this show to give ample material to Sherlockâs Mind Theatre, where he can stage very elaborate, dramatic scenarios, complete with actors, detailed premises and props.
To test Prediction #3 Iâll try to run through most of the scenes from HLV, in order to check if the statement above might be valid. For each of the scenarios, Iâll try to detect possible initial questions, which Sherlock might want to explore with the simulation in his Mind Theatre. Iâll also suggest possible elements from movies and/or Sherlockâs own memories that might have inspired the scenarios. Finally Iâll try to explain which results I think we can see in the show from each of Sherlockâs mind experiments. But Iâll also take the opportunity to discuss evidence that indicate itâs indeed just a mental scenario or - in some cases - speculate on possible alternative explanations.
HLV, Scenario 1: What will happen when John gets bored of his ordinary life with âMaryâ? Inspiration: I think Sherlockâs memory of John beating him up after his return from the dead in TEH, his memory of John punching him in the face by Sherlockâs own request and provocation in ASiB, and John hitting the Chief Inspector when the Police arrested Sherlock in TRF; all this is making him think of John as potentially violent. Also, Sherlock deduced already in ASiP that John is attracted to danger.
[running, running the simulation, staged with âactorsâ that either represent John or Sherlock or the challenges they are up toâŠ]
Result: After some time of ordinary, married life, John canât stand it anymore; he does something dangerous (because heâs an adrenaline junkie) and ends up hurting someone else doing it: he violently disarms Billy Wiggins and sprains his arm. Then he leaves Billy lying with his sprained arm and goes on to look for his neighbourâs drug addict son.

Discussion: But would John Watson really break into a drug den and single-handedly beat up the junkie who was guarding it, basically because he was bored? And how likely is it that he would then tell him âIâm a doctor, I know how to sprain peopleâ? Weâve never seen John refer to his medical profession that horrible way, have we? (But we did hear him tell Sherlock in ASiB that he was a soldier and killed people). And would it be likely that the âgate-keeperâ (surrounded by hearts-and green tiles from 221B; is the eye there to make us pay attention?), who didnât hesitate to draw knife on the intruder, would just lie there without even trying to run after him and at least warn the people in there?Â

I suspect that a slightly exaggerated characterization of John starts here and later escalates, because drugs and Sentiment bias Sherlockâs mind. Sherlockâs capability of âcorrectly anticipating responses of people I know wellâ might begin to get altered already here.
HLV, Scenario 2: What will happen if John finds out that Sherlock has taken drugs? Inspiration: Already in ASiP John hears from the police that Sherlock is a drug user, and Sherlock doesnât deny it. And in ASiB John conspires with Mycroft and Mrs Hudson to search 221B for any secret drug deposit of Sherlockâs. So both these events should be stored in Sherlockâs memory.
[Not so much running neededâŠ]
Result: John gets furious with Sherlock and takes him to hospital; not for caretaking but simply for drug tests. He berates Sherlock for not having told him about his drug problems. Molly slaps him for âbetraying his friendsâ by throwing away his talent on drugs.

And John then joins forces with Mycroft and phones him immediately to have 221B searched for drugs. Discussion: This behaviour is not very âdoctoryâ or even humane of either John or Molly, though, is it? Sherlock is a close friend of theirs, whom both of them love, and he has just spent the night high in a drug den. But neither of them even tries to examine him, even though Molly obviously gets a positive result from the urine test. Instead, the whole scene is full of critique and punishment. And his brother Mycroft, who âconstantly worriesâ about Sherlock, now lets strangers into Sherlockâs flat to search it, and all he does is express contempt for Sherlockâs life style. I think this shows the influence of Sherlockâs self-loathing in the simulation â a pattern that will be repeated all the way through TAB and S4. Guilt. Sentiment. Drugs.
HLV, Scenario 3: What will happen if John finds out that Sherlock has a relationship with someone else (a woman, to boot)? Inspiration: Sherlock didnât actually know Janine, but he might have noticed that John interrupted his dancing practice with her already at the wedding. And since she seemed a bit interested in Sherlock she would be the nearest candidate for this little test, where Sherlock could invent a good alibi for being with her: a crime case. But most of all, I think this experiment stems from Sherlockâs broken heart and jealous emotions; he subconsciously wants to get back at John for leaving him and marrying a woman.

[running, running the simulationâŠ]
Result: John gets jealous and angry with Sherlock, but he tries to keep his face straight (pun intended); he wonât confess anything to Sherlock.Â
Discussion: Here I believe Sherlock is indeed on to something, but he doesnât see it clearly and consciously because of his bias. Bad characterization of Janine, also, who didnât before seem stupid enough to wait in the bed of a supposed boyfriend who is away the whole night without telling why and doesnât want to sleep with her anyway. Drugs. Sentiment. Underestimating womenâs brain capacity (one of Sherlockâs biggest flaws Iâd say; possibly originating in his contempt (=fear) of Sentiment).
Scenario 4: What will happen if Sherlock Holmes openly invites Media (CAM) to an interview? Inspiration: We already saw how the press treated Sherlock and John in TRF (for more analysis about this, see my meta about mediaâs role in BBC Sherlock and the additions to it) so Sherlock does have experience to fall back on here.
[running, runningâŠ]
Result: Media (CAM) own them now; they intimidate both Sherlock and John and try to find their pressure points.

They disarm John, âpiss in Sherlockâs fireplaceâ (violate his integrity), show contempt for their life-style and insinuate things about Sherlockâs traumatic past (Redbeard). And Sherlock can do basically nothing to defend himself.
Discussion: CAMâs supposed mental filing of information, and his use of a Mind Palace, seems suspiciously similar to Sherlockâs own methods of storing observations and deducing people based on it. (Look at the font, by the way; itâs written in Courier, just like a manuscript for a news article or a play or a film...). And I think Sherlockâs behaviour in this scene is weird, to say the least; why would he accept CAMâs armed thugs body searching him and John in his own house? Why would he let them intimidate Mrs Hudson (especially considering what he did to the CIA guy in ASiB)? And why would a brain like Sherlockâs immediately swallow CAMâs rather obvious bait with the letters? The depiction of John is a little strange too: how can he walk around, sit down, etc. seemingly without discomfort, when he has a big tyre lever stuck down his trousers? ;) Seeing this as a scenario in Sherlockâs head makes far more sense to me - probably influenced by drugs and (sexual) Sentiment.
Scenario 5: What will happen if John finds out Sherlock is capable of pretending a relationship with someone just for a case? Inspiration: This is Sherlockâs MO after all, even in ACD canon; he loves to play roles for a case. And he does tend to underestimate women. But maybe itâs just a bit exaggerated here? ;)
[very short model running this timeâŠ]
Result: John thinks (for the umpteenth time) that Sherlock is a psychopath, but he does not see the likeness with his own marriage based on lies; not even when Sherlock hints about it.


Discussion: Again, bad characterization of Janine, who I think wouldnât be stupid enough to let Sherlock into CAM tower knowing fully well that CAM is present. Drugs. Underestimating women.
Scenario 6: What will happen if Sherlock âtakes one more stepâ? Inspiration: Thereâs a plethora of action movies and games with ninja assassins and spies, and the black-clad ninjas often climb buildings and walls on their missions. So âMaryâs gear and behaviour at CAM tower wouldnât be particularly hard for Sherlock to dream up; especially since there has been a lot of assassins in this show already to use as inspiration.

But I also believe there might be a particular movie inspiring Sherlock for the whole Shooting Drama scenario with âMaryâ: âSelenaâ from 1997. This film, starring Jennifer Lopez, is entirely based on a real life story about the famous Tejano singer Selena, who was murdered by her (supposed) friend Yolanda SaldĂvar. As I explained in this addition to a post from @elldotsee, the name âYolandaâ is repeated 4 times in the scene in TEH where Sherlock meets âMaryâ for the first time. Yolanda shot Selena in the shoulder, and she died of blood loss on her way to the hospital. According to Wikipedia (my bolding), "The defense attorney argued the shooting was accidental, but the prosecution pointed out that SaldĂvar, a trained nurse, did not call 911 or try to help Selena after she was shot."
So letâs compare this movie with the events in HLV. I donât think the actual shooting is included in the film, but this is Selena being taken to hospital:

And here is Sherlock being taken to hospital:

The stretcher is pretty similar, which could of course be a coincidence. But look at Selena (as played by J.Lo, who by the way received a Golden Globe nomination for this film):


Arenât these images a little bit too similar for a mere coincidence? And since Sherlock is exceptionally into crime cases, I think itâs not unlikely that he might have found interest in this movie based on a famous IRL crime caseâŠ
[scenario running time is very short at first, but then the simulation goes on and on and onâŠ]
Result: When Sherlock takes the step, âMaryâ (= heteronormativity) â who is now suddenly a full-feathered ninja assassin - literally tries to kill Sherlock, which might feel just the same to him in the suicidal state I believe he is in at this point (X). But then he realizes that John will âcry buckets and bucketsâ, and that Johnâs life will definitely be in danger. So he struggles to stay alive.

Discussion: I think this whole debacle is basically about Sherlockâs heart-break after âMarry Watsonâ, interpreted as a shot to the heart. While the real reason for his critical state might be an overdose of drugs, his mind translates this to a shooting Drama. This doesnât necessarily mean that âMaryâ is a nice person, but I do believe the ninja bit is exaggerated. To âtake one more stepâ might in this case have meant a possible step towards a same-sex relationship with John. But Sherlock doesnât consciously recognize this possibility, so in this scenario itâs depicted as if he takes one more step towards disarming âMaryâ (which would metaphorically be almost the same thing, if âMaryâ stands for the hetero norm). In my sub-textual reading, this is also about heteronormativity (=âMaryâ) firming its grip on Media  (=CAM). But Sherlock isnât ready to realize this just yet, so he blames Love (=Lady Smallwood) due to his fear of emotions. In a textual reading, however, this could also mean that Sherlock has deduced that Media has some sh*t on âMaryâ which might indirectly threaten John. In either case, he still tries to stop âMaryâ from killing CAM.Â
On the surface, Sherlock probably believes that âJohn is in dangerâ is connected to the risk of âMaryâ getting desperate and trying to kill John too. But his subconscious might indeed realize that John would be suicidal too if he lost Sherlock again. And now weâre even âofficiallyâ inside Sherlockâs mind palace, so we know - most of the time at least - that the characters that now show up (Jim alive and kept in a padded cell, Molly slapping Sherlock to make him focus, Mycroft giving advice etc.) arenât actually ârealâ.Â
Scenario 7: What will happen if Sherlock âtells Johnâ [the truth]?
Inspiration: Sherlock and John have a long history of not telling each other important stuff, especially Sherlock. So this threat from âMaryâ, when Sherlock is hospitalized, might be well-founded in his own fear of talking about issues involving strong emotions.Â

Weâre not told exactly what Sherlock canât tell John, but I assume she means âthe Truthâ. In this scenario Sherlock depicts it as âMaryâ not wanting her husband to know about her shady assassin past.Â
[running, running, looong running, involving Sherlock not only telling, but showing John the truth about âMaryââŠ]
Result: As anyone might have predicted, John gets devastated; he's out of his mind with repressed anger.Â

But the scenario continues in 221B, where John directs his fury not only at âMaryâ, but - strangely - also at Sherlock, the reason for which is left unclear. Is it for not telling John this before? Is it a âshoot-the-messengerâ sort of rant? In any case, Johnâs focus seems to be that it now turns out heâs saddled with two psychopaths instead of just the one (Sherlock). In his anger, John starts yelling at Sherlock and even threatening him, while Sherlock â on the brink of another heart collapse - keeps making excuses for âMaryâ, claiming that she actually saved his life (!) by not going for a head shot, and he claims (with a lame piece of evidence that wouldnât hold water in any decent court room) that âMaryâ actually called the ambulance for him.
Discussion: But why is the focus of Johnâs reaction on âMaryâsâ lying rather than her shooting and almost killing Sherlock? Why isnât his friendâs life the most important thing here? I think this characterization of John in Sherlockâs scenario is horribly biased and entirely absurd; Dr. Watson would NEVER treat his beloved friend this way - wasting time ranting on âMaryâ for lying, while Sherlock was dying from a re-opened shot wound. Especially judging by Johnâs reaction when he thought Sherlock was dead in TRF.Â
The real explanation for this whole âdonât-tell-Johnâ business might rather be quite mundane, but highly dramatized in Sherlockâs Mind Theatre. I believe that telling John âthe Truthâ might mean, in Sherlockâs subconscious, telling him how he really feels about him. The thought of which is still horrifying to Sherlock. But since Sherlock isnât in touch with his own feelings yet, this is what his drug-addled brain comes up with instead. Heteronormative bias. Drugs. Sentiment.
I could also think of another possible incriminating fact appearing in Sherlockâs subconscious: What happens if Sherlock tells John about his earlier deduction that Johnâs wife is pregnant with someone elseâs child? This seems to fit with âMaryâs excuse for shooting Sherlock instead of accepting his help on the âcaseâ with CAMâs blackmail: âBecause John canât ever know that I lied to him. It would break him and I would lose him foreverâ.Â

Iâll try to explore this idea in a future meta about âMaryâs lies. But it could also be that âMaryâ is a stand-in for Sherlock in this scene; if murder is a metaphor for falling in love, Sherlock might believe that he would lose John forever if he told John the truth about his real feelings for him.Â
Scenario 8: What will happen with Johnâs marriage, now that he knows about âMaryâs secret? Inspiration: This scenario is so absurd that I strongly suspect itâs not based upon Sherlockâs real memories of John (which would be irrelevant anyway, since they have never before experienced a situation like this). It could of course be based upon lots of romantic, stereotype movies where two lovers reconcile in a tearful embrace.Â
But it could also be reflecting some childhood event (perhaps at Christmas) in Sherlockâs own family, where his parents agree to gloss over their problems, whatever they might have been, instead of dealing with them. One possibility is suggested in the final part of @sagestreetâs entirely brilliant Follow-the-dogs meta series: that âRedbeardâ is basically about Sherlockâs Dad having had a love affair with a man while at the same time being homophobic about it, which has created a trauma in Sherlock. And this also has an important bearing on ACD on a meta level. (I absolutely love this theory! @sagestreet calls it âspeculationâ, but I think heâs rather âconnecting the sub-textual dotsâ hinted at in the whole series to deduce Sherlockâs possible childhood trauma).
[running, running, loong running, involving a distorted time line interlaced with the previous scenario and Sherlock acting as an odd sort of matchmaker, trying to find excuses for âMaryâ and doing something very uncharacteristic: inviting John and âMaryâ to celebrate Christmas with his own familyâŠ]
Result: John doesnât talk to âMaryâ for a long time, but after Sherlockâs persuasion he decides to grudgingly âforgiveâ her and keeps living together with her, cowed under her dominance and not even knowing her real name. But Johnâs sense of âfamily dutyâ kicks in here, and makes him stay with âMaryâ and father the kid. A âniceâ and âChristmassyâ solution based on lies and, as John says about Sherlockâs parents: âA fine example of married lifeâ.

Discussion: Iâve always wondered whatâs so âfineâ about Sherlockâs parentsâ relationship, though; that Mummy Holmes keeps criticizing her husband in front of others and tells him heâs not even allowed to be humming to himself? That Daddy Holmes made her give up her entire mathematical career âfor childrenâ? Is this Sherlockâs past family Christmas trauma playing in here? In any case I think itâs a completely awful characterization, that John Watson would ever forgive someone who tried to kill Sherlock and be willing to start a family with them â especially if this person doesnât show even a shred of remorse over the whole thing. And what does the idea that Sherlock would be willing to drug down his whole family represent? The frustration of a child exposed to his parentsâ constant bickering? I donât know, but drugs and Sentiment - devastating Sentiment â are most likely playing in here.
Scenario 9: What will happen if Media - CAM - start prying into âMaryâ Watsonâs doings? Inspiration: On the surface, this is about âMaryâs secret past; a truly fantastical story about the crimes of a façade-climbing ninja assassin, which CAM threatens to reveal. A veritable âBond adventureâ it would be; a dramatic action movie. But is there perhaps some âmundaneâ and therefor more likely topic that Media usually loves to speculate about (because it makes lots of money)? Yes I think there is: âscandalsâ; particularly those involving celebrities and their love life. And Sherlock must be painfully aware of this since what happened in TRF:

Imagine what a field day the press would have, for example, speculating about âMaryâ cheating on earlier âconfirmed bachelorâ but now âhappily marriedâ John Watson! Imagine what they would make of him not actually being the father of her child, and what this could mean regarding his association with the famous Sherlock Holmes? It would be TRF all over again - but worse this time; the âbeardâ, the âfaçadeâ would fall. For the record: I think the main reason why Sherlock stayed away from John for two years was because in TRF media had started speculating about Johnâs and Sherlockâs relationship and thereby Johnâs sexual orientation, which John seemed to take very badly. So this scenario could be far more based on Sherlockâs memories of TRF than anything else.
[running, running, looong running of the model this timeâŠ]
Result: Media - CAM in Sherlockâs scenarios - now have a leverage on them all; âMaryâs secret revealed publicly (whether âassassinâ or âcheaterâ) would harm John, which would harm Sherlock, which would harm Mycroft (by association) and might ultimately harm the whole country. Yes - Sherlock is a real drama queen! ;) So the only solution he sees is to kill CAM immediately. In fact, heâd do anything to stop this exposure of John in media.
Discussion: In TSoT, I think Sherlockâs subconscious makes three devastating deductions regarding John (subconscious because in two of these cases he emphasizes that this was one more deduction than he was expecting, and in the other one he drops his glass from the impact of the realization):
1) That a ârecently divorced doctorâ has âerectile dysfunctionâ. But this might actually be about John, if Sherlockâs subconscious picked up that John might have a bit of a bedroom problem with his newly wed wife.

2) That John is a Mayfly Man; he has been dating a string of lovers to cover up something else. This, together with 1., could make Sherlock suspect that even Johnâs whole marriage is a cover-up, a façade; these two guys arenât really into each other, but the marriage protects John from being âoutedâ.  3) That âMaryâ is pregnant, which seems to be complete news to John. But if he - a doctor - has no idea heâs going to father a child, one possible explanation of this might be that the baby is actually not Johnâs. Which would further support deduction 1) and 2) above.
So maybe CAMâs leverage was actually what Sherlock was thinking about in Leinster Gardens? What if âMaryâs words here are representing Sherlockâs own fear of what would happen if Johnâs relationship is exposed in media?Â


(Also on a meta level I think this might be important: the threat of media exposure of a gay couple in Victorian times has affected the whole characterization of Sherlock Holmes for over a century). Sherlock thinks his contact with John and his career is over (as in TRF), so he can just as well start killing people (from media, preferably ;) ). And here we have some more awful characterization - this time of Sherlock himself; suddenly he has become a murderer â a bit improper for a famous detective supposed to solve crimes, not committing them, donât you think? And, on the whole, he acts like an idiot, making blunders that cause him to lose his cases etc. Itâs the Sentiment bias again - lots and lots of it, complete with â perhaps life-long - anger, self-loathing and frustration. Poor Sherlock.
Scenario 10: What will happen with Sherlock after he flips out and kills Magnussen? Inspiration: Casablanca, a truly iconic movie from WWII. End scene where Ilsa (Ingrid Bergman) and Rick (Humphrey Bogart) bid each other a tearful farewell at the Moroccan airport, from where Ilsa is fleeing the country with her spouse. Itâs a âforbiddenâ romance, and there are no outspoken confessions or declarations between them, no kiss; they hide their true feelings, even though they are very clearly understood. Ilsa will travel to security, Rick will stay in danger, serving his country, and Ilsa will not know if heâs dead or alive. Romantic overload.

Result: After a brief âsolitary confinementâ in prison (a week, we learn in TAB - suspiciously close to the time I believe John and âMaryâ were on honeymoon after the wedding), Mycroft sends him in a private jet to a certain death in Eastern Europe, serving his country. Sherlock takes farewell of John at the tarmac and leaves him in âMaryâs hands. Heâs about to tell John something important (like a love declaration), but changes his mind and jokes the whole thing away. They shake hands and Sherlock flies off, crying, probably thinking heâs seen John for the last time. But since the issue of Moriarty isnât resolved yet, Sherlock Holmes is called backâŠ
Discussion: This is so obviously a rip-off from Casablancaâs ending, and such a sentimental and overly-dramatic ending of S3 that if I didnât believe Sherlock was in a drug-induced comatose state, Iâd hold him (or Moffat) responsible for succumbing his modeling to âthe fly in the ointmentâ. :))Â

Awful characterization of Mycroft though; why would Sherlockâs over-protective brother have him killed rather than imprisoned? But, most importantly: What are Sherlockâs results after HLV?Â
In summary, I think Sherlockâs most important conclusions after this episode are a bit depressing: 1. That Johnâs relationship with âMaryâ isnât a very happy one, but 2. that Sherlock canât take any âstepsâ towards John and he canât âtellâ him anything; the façade must still be kept up at any cost because 3. Media is a serious threat against them and âoutingâ John would break him and Sherlock would lose him forever.
These scenarios Iâve suggested for HLV to test Prediction #3 may seem a bit farfetched and speculative, and the evidence may not be particularly strong for some of them, while I think they could work for others. But at least all of them make more sense to me character-wise than the presented, face-value reading. Please consider the absurdity of the alternative weâre actually given in HLV:Â
That the wife of one of the protagonists is actually a façade-climbing ninja assassin who tries to kill the main character and gets away with it, without showing a shred of remorse.Â
That Doctor John Watson would yell threats at his beloved best friend when heâs collapsing from a re-opened shot wound, instead of trying to help him.Â
That John Watson would forgive someone â whose name he doesnât even know - who shot and  almost killed his best friend, and then go on to raise a child with them.Â
That Sherlock would let a drug-addict drug down his whole family, including a pregnant woman, at their Christmas dinner.
That the main character â the famous detective Sherlock Holmes â would become a murderer who âsolvesâ a tricky case by blowing the un-armed blackmailerâs brains out with a gun.
That his over-protective brother Mycroft would send him to a certain death in Eastern Europe rather than put him behind bars.
I intend to go on exploring this âscenario-runningâ for the four remaining episodes, including TAB. But this meta is already ridiculously long, so instead Iâll have to use my following two installments to do this:
Hypothesis # 6: In the showâs ârealityâ, Sherlock is slowly dying, which also has implications on a meta level, and
Hypothesis # 7:Â By TFP Sherlock has managed to figure out some essential things about John and the importance of staying alive, and he has managed to get in touch with his own repressed emotions.
Because if Sherlock is going to find out how to save John Watson, I believe he still has a lot of things to figure out; in HLV he isnât ready yet. ;)
Tagging some people who might be interested:
@raggedyblue @ebaeschnbliah @sarahthecoat @gosherlocked @fellshish @sagestreet @tendergingergirl @loveismyrevolution @sherlockshadow @darlingtonsubstitution @tjlcisthenewsexy @devoursjohnlock  @kateis-cakeis @csi-baker-street-babes @sectoralheterochromiairidum @mrskolesouniverse @murphysmom67 @elldotsee
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