#Importance Of Data Science

[hotbazeng]

Data science: what is it, main concepts and how to act?

What do you know about data science? Educating yourself on the topic is a great way to better understand the complexity of the world we live in today. There is not the slightest possibility of comparing the amount of information we have access to today with what humanity had available decades ago. It’s what we call the Information Age. The problem is that we’re talking about so much information…

[m0ose-idiot]

Curious whether there really was more of our favourite headless Tudor in season 5? Wonder no more, the data scientists are here! 👻🤍

[librawritesstuff]

Feral Fidget Friday: Late Night Edition

Someone please send me a Sharpie, I wanna play Connect-The-Dots

[un-pearable]

this is yet another random academia nitpick i won’t let go of for weeks but someone in the comments of the victor ninov broccumentary claimed that science is a “incredible field that can’t be simplified to storytelling like this” because “it goes against human nature to do” and writing good sci comm goes against scientific integrity.

and the whole statement is incredibly stupid but in true anthropologist fashion i must say what on earth about science goes against human nature. the desire to test a phenomenon and revise your theories based on the results is literally one of the benchmarks for early modern humans. this is the behavior in corvid’s (tool use) that people loose their shit over. communicating findings to others?? collaborative work to reach an arbitrary goal that won’t necessarily have a direct benefit on your immediate life???? that’s how we domesticated staple crops dumbass. it’s science all the way down

[jennaflare]

i really thought the society & sustainability class would be my fave this quarter but NAY. map city baby.

[floralfractals]

^^ citizen science contains lots of fun activities! Near me, the national health agency has a project where you can measure air quality, and you can get some cool tools out of it to see how it changes in different places :)

If you're feeling anxious or depressed about the climate and want to do something to help right now, from your bed, for free...

Start helping with citizen science projects

What's a citizen science project? Basically, it's crowdsourced science. In this case, crowdsourced climate science, that you can help with!

You don't need qualifications or any training besides the slideshow at the start of a project. There are a lot of things that humans can do way better than machines can, even with only minimal training, that are vital to science - especially digitizing records and building searchable databases

Like labeling trees in aerial photos so that scientists have better datasets to use for restoration.

Or counting cells in fossilized plants to track the impacts of climate change.

Or digitizing old atmospheric data to help scientists track the warming effects of El Niño.

Or counting penguins to help scientists better protect them.

Those are all on one of the most prominent citizen science platforms, called Zooniverse, but there are a ton of others, too.

Oh, and btw, you don't have to worry about messing up, because several people see each image. Studies show that if you pool the opinions of however many regular people (different by field), it matches the accuracy rate of a trained scientist in the field.

--

I spent a lot of time doing this when I was really badly injured and housebound, and it was so good for me to be able to HELP and DO SOMETHING, even when I was in too much pain to leave my bed. So if you are chronically ill/disabled/for whatever reason can't participate or volunteer for things in person, I highly highly recommend.

Next time you wish you could do something - anything - to help

Remember that actually, you can. And help with some science.

[cromacampusinstitute]

The most important concept in Data Science is data understanding and preparation, as it forms the foundation for all subsequent analyses. This involves collecting, cleaning, and organizing raw data to ensure it is accurate, complete, and ready for analysis.

[21st-century-minutiae]

Survey selection bias is a common problem in early twenty-first century demographic analysis. It is well understood and accounted for (as much as possible) by competent statisticians. Any good faith demographer will include a methodology section in their report that should help identify potential sources of bias, and savvy individuals will use this information to properly interpret the data. For example, low sample sizes, restricting surveys to students at a particular college (who might be answering the questions for class credit or money), or (as listed above) telephone surveys can lead to nuances in the results.

However, laymen might lack the knowledge to account for these nuances. This can be exacerbated when media reports on the results, but fails to include the methodology (this is actually a good judgement of media impartiality and accuracy: if they include the survey size when reporting or other methodology details, especially in graphics, that is a good sign. If they omit it, that is a bad sign). People also are very prone to report simple summaries, such as final percentages, without including methodology detail, which leads to the spread of misinformation.

One extremely famous example of methodology bias was in the 1948 US Presidential Election. Based on confident polling data, the Chicago Tribune printed a newspaper headline "Dewey Beats Truman" when, in fact, Truman had won. The polls were all flawed in methodology, often directly polling individuals on a street corner where they could find people instead of stochastically selecting individuals from the entire population. There is a famous picture of Truman holding up this particular newspaper headline in triumph. Many people in the early twenty-first century are aware of this picture, as it has had a substantial cultural impact.

Let's consider the sampling bias of a classic polling method: the telephone survey.

In many jurisdictions, robo-calling cell phone numbers is illegal, so right off the jump, our sample is limited to people with landlines.

Second, our survey's calling centre probably doesn't operate 24/7, and you can only answer a home landline when you're at home, so we're also selecting for people who tend to be at home during our calling centre's office hours.

Third, most people who have landlines probably also have answering services and caller ID, so we're additionally selecting for people who answer unknown numbers rather than letting them go to the machine.

Fourth, our recipient needs to be able to participate in the survey, so we're also selecting for people who speak the language(s) in which the survey is being administered.

Finally, after all this, most people will just hang up once they figure out they're being polled, so in sum, we're selecting for people who:

have landlines;

are usually at home during our calling centre's office hours;

customarily answer unknown numbers;

speak the language(s) in which the survey is administered; and

are actually interested in responding to surveys.

Any one of these factors is likely to introduce very serious bias into our results; all of them taken together are going to render our data practically meaningless for most purposes.

Now, understand that this still represents less selection bias than trying to do demographic surveys by reblogging Tumblr polls.

[ana12dsouza]

The Importance of Hands-on Projects in Data Science Training

The Importance of Hands-on Projects in Data Science Training

Data science is one of the most sought-after fields today, and as such, mastering it requires more than just theoretical knowledge. While understanding the fundamentals of data science, machine learning, AI, and analytics is crucial, practical application is where the real learning happens. One of the best ways to build expertise is through hands-on projects. In Data Science Training Marathahalli, practical exposure through real-world projects is indispensable in bridging the gap between theory and practice. Let's explore how these hands-on projects contribute to mastering data science and the types of projects you can expect during your training.

Real-World Application of Theoretical Concepts

Practical, hands-on experience is key to internalizing the concepts learned in Data Science Classes Bangalore. Through real-world projects, students can apply the theoretical knowledge they’ve gained in areas like statistics, machine learning, and data analysis. This exposure allows students to gain insight into the complexities of working with real datasets, which are often messy, incomplete, and noisy. For instance, in Machine Learning Course Marathahalli, students often work on projects like predictive modeling for business applications or building recommendation systems. These projects involve cleaning data, selecting the right algorithms, and fine-tuning models, which is crucial for gaining practical skills. By engaging in such projects, students not only grasp theoretical concepts but also learn how to overcome the challenges that come with real-world data.

For more on real-world data science training, you can visit Data Science Training Marathahalli.

Building a Strong Portfolio

A strong portfolio is one of the most important assets for any aspiring data scientist. By undertaking hands-on projects during your Data Science Certification Marathahalli, you can build a collection of work that demonstrates your ability to solve complex problems and think critically. For example, Big Data Course Marathahalli students may work on projects related to processing and analyzing large datasets using frameworks like Hadoop and Spark. Such projects showcase a student’s capability to work with big data technologies, which are highly valued in the job market. Having these projects in your portfolio helps employers see the practical application of your skills and gives you an edge over candidates with only theoretical knowledge.

Explore more about building a portfolio in Data Science Certification Marathahalli.

Learning by Solving Industry Problems

One of the greatest benefits of hands-on projects is the opportunity to solve real industry problems. Data Science Bootcamp Marathahalli and other intensive training programs often simulate business scenarios where students can apply their learning to solve real problems, which helps them understand the industry's needs. For example, students might work on projects that focus on customer segmentation for marketing or churn prediction for subscription-based businesses. Such projects help students gain a deeper understanding of how data science is applied in the real world, preparing them for roles in various industries such as finance, healthcare, and e-commerce.

Find out more about industry-driven projects in Data Science Bootcamp Marathahalli.

Enhancing Problem-Solving and Critical Thinking Skills

Data science is all about solving problems, and practical projects provide an excellent platform for enhancing your problem-solving and critical thinking skills. For instance, during the Advanced Data Science Marathahalli course, students may work on challenging projects involving deep learning or neural networks. These types of projects push students to think critically, troubleshoot issues, and explore different solutions to arrive at the most optimal one. Hands-on experience helps refine analytical thinking, which is an essential skill for any data scientist. Additionally, students learn how to work with tools such as Python for data science, R, SQL, and machine learning libraries, which are crucial for handling real-world problems effectively.

Learn more about critical thinking in data science through Advanced Data Science Marathahalli.

Collaborative Learning and Teamwork

Data science is rarely a solitary job. In a professional setting, data scientists often work in teams to tackle large-scale projects. This collaboration is an important part of hands-on projects in training programs like AI and Data Science Course Marathahalli. These programs typically encourage teamwork and group projects, which simulate real-world working conditions. By collaborating with others, students learn valuable skills such as communication, delegation, and collective problem-solving. Working in teams also exposes students to different perspectives, which helps them approach problems more creatively and efficiently.

Find more about team-based learning in AI and Data Science Course Marathahalli.

Gaining Familiarity with Real Datasets

One of the major challenges in data science is working with real-world datasets. These datasets often contain missing values, outliers, and inconsistencies that need to be addressed before any meaningful analysis can be performed. During the Python for Data Science Marathahalli training, students get hands-on experience with Python libraries like Pandas, NumPy, and Matplotlib to manipulate and visualize data. They also learn data wrangling techniques to prepare data for analysis. Projects in this area might include tasks like cleaning a messy dataset or building a data pipeline to automate data collection and preprocessing. These experiences help students build confidence and become proficient in handling data like a professional data scientist.

To gain experience with real datasets, explore Python for Data Science Marathahalli.

Exposure to Latest Tools and Technologies

The field of data science is constantly evolving, with new tools, frameworks, and techniques emerging regularly. Hands-on projects provide students with the opportunity to explore these latest tools and technologies in a practical context. For example, during Deep Learning Course Marathahalli, students may work with neural networks and deep learning frameworks like TensorFlow or PyTorch. They may also explore cloud-based platforms like AWS or Google Cloud to deploy their models. This exposure ensures that students are up-to-date with the latest developments in the field and prepared to use these technologies in their professional careers.

Stay updated with the latest tools through Deep Learning Course Marathahalli.

Improving Job Readiness

One of the key objectives of Data Science Job-Oriented Course Marathahalli programs is to make students job-ready. Hands-on projects play a major role in this by giving students the practical skills and experience that are directly applicable in the workplace. For example, projects like time series forecasting, natural language processing (NLP), or building machine learning models from scratch prepare students for real-world job roles. These projects are not only valuable learning experiences but also provide students with the opportunity to showcase their skills to potential employers.

Learn how hands-on projects help in job preparation through Data Science Job-Oriented Course Marathahalli.

Getting a Taste of Data Science at Scale

Some training programs, like Data Science Online Course Marathahalli, include projects that involve handling data at scale. For example, students might be asked to build and deploy a data pipeline that ingests, processes, and visualizes large datasets. These projects provide invaluable experience in dealing with challenges related to scalability, performance, and optimization. Students learn how to manage large volumes of data, a skill that is highly sought after in today's data-driven world. This type of training is essential for preparing students to work on large-scale enterprise projects after certification.

Explore large-scale projects in Data Science Online Course Marathahalli.

Conclusion

Incorporating hands-on projects into Data Science Training Marathahalli is crucial for mastering the subject. These projects allow students to apply theoretical knowledge to solve real-world problems, build strong portfolios, and gain industry-relevant experience. By working on real datasets, using the latest tools, and collaborating with others, students develop the skills necessary to excel in the competitive data science job market. Whether through predictive modeling, machine learning, or big data analytics, hands-on projects are the key to becoming a proficient data scientist and advancing your career.

For more information on data science programs and projects, check out Data Science Training Institutes Near Marathahalli.

[curlicuecal]

playing science telephone

Hi folks. Let's play a fun game today called "unravelling bad science communication back to its source."

Journey with me.

Saw a comment going around on a tumblr thread that "sometimes the life expectancy of autism is cited in the 30s"

That number seemed..... strange. The commenter DID go on to say that that was "situational on people being awful and not… anything autism actually does", but you know what? Still a strange number. I feel compelled to fact check.

Quick Google "autism life expectancy" pulls up quite a few websites bandying around the number 39. Which is ~technically~ within the 30s, but already higher than the tumblr factoid would suggest. But, guess what. This number still sounds strange to me.

Most of the websites presenting this factoid present themselves as official autism resources and organizations (for parents, etc), and most of them vaguely wave towards "studies."

Ex: "Above And Beyond Therapy" has a whole article on "Does Autism Affect Life Expectancy" and states:

The link implies that it will take you to the "research studies" being referenced, but it in fact takes you to another random autism resource group called.... Songbird Care?

And on that website we find the factoid again:

Ooh, look. Now they've added the word "some". The average lifespan for SOME autistic people. Which the next group erased from the fact. The message shifts further.

And we have slightly more information about the study! (Which has also shifted from "studies" to a singular "study"). And we have another link!

Wonderfully, this link actually takes us to the actual peer-reviewed 2020 study being discussed. [x]

And here, just by reading the abstract, we find the most important information of all.

This study followed a cohort of adolescent and adult autistic people across a 20 year time period. Within that time period, 6.4% of the cohort died. Within that 6.4%, the average age of death was 39 years.

So this number is VERY MUCH not the average age of death for autistic people, or even the average age of death for the cohort of autistic people in that study. It is the average age of death IF you died young and within the 20 year period of the study (n=26), and also we don't even know the average starting age of participants without digging into earlier papers, except that it was 10 or older. (If you're curious, the researchers in the study suggested reduced self-sufficiency to be among the biggest risk factors for the early mortality group.)

But the number in the study has been removed from it's context, gradually modified and spread around the web, and modified some more, until it is pretty much a nonsense number that everyone is citing from everyone else.

There ARE two other numbers that pop up semi-frequently:

One cites the life expectancy at 58. I will leave finding the context for that number as an exercise for the audience, since none of the places I saw it gave a direct citation for where they were getting it.

And then, probably the best and most relevant number floating around out there (and the least frequently cited) draws from a 2023 study of over 17,000 UK people with an autism diagnosis, across 30 years. [x] This study estimated life expectancies between 70 and 77 years, varying with sex and presence/absence of a learning disability. (As compared to the UK 80-83 average for the population as a whole.)

This is a set of numbers that makes way more sense and is backed by way better data, but isn't quite as snappy a soundbite to pass around the internet. I'm gonna pass it around anyway, because I feel bad about how many scared internet people I stumbled across while doing this search.

People on quora like "I'm autistic, can I live past 38"-- honey, YES. omg.

---

tl;dr, when someone gives you a number out of context, consider that the context is probably important

also, make an amateur fact checker's life easier and CITE YOUR SOURCES

[anachrolady]

^ The value of understanding how to critically analyze studies, and why it's important not to just gloss over the findings.

Source

Source

[todays-xkcd]

If you think curiosity without rigor is bad, you should see rigor without curiosity.

Good Science [Explained]

Transcript Under the Cut

[Miss Lenhart is standing in front of a whiteboard with some scribbles on it.] Miss Lenhart: I'm supposed to give you the tools to do good science.

[Miss Lenhart is now standing in front of Jill and Cueball, who are seated at classroom desks.] Miss Lenhart: But what are those tools? Miss Lenhart: Methodology is hard and there are so many ways to get incorrect results. Miss Lenhart: What is the magic ingredient that makes for good science?

[Miss Lenhart headshot.] Miss Lenhart: To figure it out, I ran a regression with all the factors people say are important:

[A list, presented in a sub-panel that Miss Lenhart is pointing to:] Outcome variable: • correct scientific results

Predictors: • collaboration • skepticism of others' claims • questioning your own beliefs • trying to falsify hypotheses • checking citations • statistical rigor • blinded analysis • financial disclosure • open data [presumably the list goes on, as it runs off the visible part of the panel]

[Another Miss Lenhart headshot.] Miss Lenhart: The regression says two ingredients are the most crucial: 1) genuine curiosity about the answer to a question, and 2) ammonium hydroxide

[Miss Lenhart, standing, and Jill, seated at desk] Jill: Wait, why did ammonia score so high? How did it even get on the list? Miss Lenhart: ...and now you're doing good science!

[mosspapi]

I want to participate in research studies done at my uni because I like contributing to science (and some of them give gift cards as compensation which is always fun) but like. Half of them won't let me do it because I'm disabled even if it won't impact the study. Like I know for some of them it probably would impact their data or whatever, but is it not important to also include the whole population in a data set? Like I don't think you can say a study is conclusive if you only test something on white cis men right? And if the study isn't going to be directly impacted by my disabilities (like it's not studying something I actively cannot do or am already experiencing or whatever) I don't see the point in not letting me help u out yknow

[hellooldshame]

Empirical Analysis

Mark Grayson x Reader smut 🔞

Synopsis: You're absolutely fascinated by how fast Mark Grayson heals. Mark is more than happy to indulge you in your science experiment. AKA You both get horny while realizing you might have some sadomasochistic tendencies.

Word count: 2.8k words

CW: MDNI 🔞 NSFW, barely any porn to warrant all that plot, biting, (attempted) marking, scratching, bottom!-ish Mark that is technically more switchy, Reader on top, lots of grinding now that I think about it, outercourse, masochist!Mark, y/n's awakening sadism. Not beta read, never beta read.

Idea taken from @clairewritesfanfics and their smart atoms talk. I think I got carried away.

A/N: This made me rewatch Invincible so I can write bouncing on him

Bullets, bombs, and most explosives barely leave scuff marks. A knife gets bent and most weapons break on impact. Punches work though. Bludgeoning damage makes him bleed out his mouth or break his nose. Which absolutely baffles you to no end. Granted, the people hitting him were strong. Like, really really strong, but it wasn't like he was hurt when a reinforced boot smacked him square on the jaw.

Mark Grayson and the limits of his invulnerability were an enigma to you. As one of the many many scientists working in the GDA, you were tasked with understanding Viltrumite physiology. How they heal, what could hurt them, if they could be hurt at all. Admittedly, the job was fun when Cecil wasn't hounding you for the reports that you barely did.

Despite your job, you didn't like exploiting the poor guy. This was purely... curiosity to be honest. A very morbid part of yourself would have loved to dissect that pretty face and see how he ticked. The reasonable part of you reminded yourself how a scalpel would sooner turn to dust before it pierced his skin.

Once, you had slapped him across the face—the moment was heated and sometimes he just said things that would really piss you off. Regardless, his shoulders had jerked and his face turned in the direction your hand swung. Despite his parted lips from the shock and the stinging on your palm, there was barely any warmth on his cheek. Of course, regular human strength could only do so much to a guy who was safe from a stabbing. But the look on his face and the rising heat on his cheek only after the moment had registered made you want to test things further.

For Science! You had claimed all too enthusiastically when you tried to persuade him. Emphasizing even that everything would be "off the record" and "never to be used against him." You meant that promise too. And maybe Mark believed the conviction in your voice because he seemed just as excited when he agreed. For the sake of science.

Now, the scientific method would tell you that empirical evidence was important. Which is why you had to take a very hands-on approach in this experiment. Yes, science never said anything about taking Mark to your bed and straddling him—a notebook by his head and your butt pressed comfortably on his pelvis—while you collected data but this was necessary!

Firstly, you needed a private place so it was off-record. Ergo, why you did this at your place. Second, it was only polite to have your test subject comfortable as you measured his pain tolerance. Obviously, the most comfortable place that would fit him lying down would be your bed. And lastly, you were straddled because you needed to observe every detail and walking around a queen sized bed took too much time.

It was all very rational.

And besides, Mark was way too pretty for you to not at least get a bit of a good look at him. You had the best seat in the house. Mark Grayson, under you, body sunken slightly into your plush sheets, chest rising and falling nervously in an uneven stutter. Inhaling deep to even his breath, the release too quick and shuddering to calm himself down. It was understandable that he was nervous, being scrutinized so intently.

Big brown eyes stared up at you through his lashes and the light from your window hit his eyes just right to see the pattern of his iris. The swirls and webbing that made up the varying shades of mahogany and maple. If you stared long enough, you could see the tremble of it, how his pupils dilate. You might have stared at it for a moment too long.

"Uhm- I'm ready," a shaky voice spoke up, those same eyes blinking, unsure now if this was a good idea. Granted, he had his own ulterior motives, but the long silence had him thinking too hard. His initial motivations clouded by doubt and worry. What if you lied about keeping this a secret? Was he sure you weren't planning to dissect him? What if you realized he also had intentions beyond helping in your experiment? That maybe he wanted to feel the way your hands snap against his skin aga-

"Alright," you nodded, reaching down. You could've sworn Mark held his breath when your hand hovered near his face to grab the notebook. Pages flutter across until you settled on an empty sheet, scribbling the time and date of the experiment. "You sure I'm not too heavy? I can adjust."

The question was more out of courtesy than concern, knowing he could bench entire icebergs. A part of you also hoped to stay seated, the warmth beneath you quite cozy. The quick nod and mumbled 'mhm mhm' was all you needed before beginning your experiment.

"Mind if you," you gestured to his shirt, wanting to have as much skin to work with.

Mark looks down, eyes wide as if he was surprised he wasn't already undressed. "Oh- yeah, hold on," hands that were unconsciously gripping the sheets moved to tug his shirt off in one motion. Hurried movements turn clumsy and a rip is heard before you see the hole between the collar and the rest of his shirt. His head was still trapped, indents on his face pressed on the fabric as he fumbled to get free. "Shit, wait just-"

Your hands were quick and careful in helping him take off his shirt. It was hard to bite back a laugh and you were certain you were making a face when you tried to hold back the smirk and snicker. A quick tug , the shirt was off, and your hands felt warm against his chest. You had always been heavy handed and even now you exerted more than the necessary effort to push him back to lie down. As expected, there was resistance when you pressed down but he had fallen back so quickly someone would have thought you knocked him down.

"Try to relax," you whisper, trying to come off as soothing but the husk in your voice makes it sound sultry. Not that you noticed. Mark did though, felt his stomach flip and his muscles did the opposite of what you instructed. "I won't be using tools since the running theory right now is that physical contact seems to work better."

The lump in his throat bobbed when your hand touched his chest and fingers spread to try and get a feel. Trying to decide where to start. Your hands were cold compared to how warm he felt. And they would not stop roaming. The tips of your fingers pressed and prodded, pushing down as hard as you can and leaving the faintest red mark as blood rushes to where you'd applied pressure. So it wasn't like his skin was hard steel. You pinch the skin at his sides and he flinches.

"Ow- hey," the yelp came out automatically, the feeling reminiscent of being tickled or poked at the side. He figured he should let you know lest you mistake that for damage dealt. "That tickled more than hurt."

A nod and quick "noted" was your only response before continuing. The process was slow but you needed to cover all your bases. One hand moved to write notes, your body leaning forward and closer to him. The view was nice and the boy in him couldn't help but glance, ogle really, at the gap between your shirt pulled by gravity and the torso hiding underneath. Nice.

Your other hand began dragging nails across his bare chest and that brought his attention back to you. Normally, for some people at least, scratching just hard enough would leave white or raised lines. You definitely feel skin dragging against your nails but see no indication that you'd done anything. Somehow, you don't notice how his diaphragm contracts and stays there when he holds his breath. Eyes too trained on the contact between your nails and his skin to see his lips trembling. You inform him that you were going to apply more pressure.

Nothing hurt, not right now at least. But the sensation of your cold hands on his skin felt refreshing. Especially against his warm skin. Then your nails scratched his skin just right that he'd nearly hummed in satisfaction. He started wondering if you could break skin when he felt you dig into him. He could almost convince himself that you were strong enough to do it.

There was just something so disarming about you on top of him. Watching him with such fascination that he felt completely exposed. Like he had no choice but to surrender under you. Your eyes wide with curiosity, your nails dragging against him heavily. Sharp, steady, trying so hard to cut-

A stuttered gasp choked in his throat, breaking his thoughts as the stinging registered in his mind. You looked equally surprised to see the scratch on his pec, like red dotted lines outlined in white. A thumb tentatively pressed on the slash and Mark couldn't stop his lips from parting for the broken whine to escape.

Now, you were never one to bask in other people's pain, so you decided to blame his squirming hip jerks.  The way the firm bulge in his pants rubbed up between your legs, the pleasure it shot straight up your spine coupled with that little cry was almost pavlovian. A professional would have gotten up and saved him the discomfort of having something so sensitive be put under pressure. A certain someone doing this out of the lab had decided it felt really nice when you sat yourself down firmly.

Mark was strong, you wouldn't be able to hold him down on your weight alone and by that breathless whimper, it seemed like he was okay with the way you readjusted and slid yourself against the hill on his pelvis. It was especially nice when he'd squirm underneath you, clumsy friction rubbing between you as your finger pressed harder on the wound. Your eyes nearly rolled back as you got lost in the slow carousel ride before he sighed out and finally relaxed.

Close. So close. Beneath your thumb was smooth skin, pristine and unblemished. Wide eyes stared at the newly formed skin and he swore he saw your gaze twinkle. He had healed. So fast, yet you couldn't help but miss the choked whines as he struggled to cope with the pain. You had expected him to have better tolerance than that but perhaps having tiny cuts compared to gashes and bruises felt different.

Mark inhaled lightly, breath finally steady as the stinging pain subsided and he wasn't forced to focus between his chest and the rubbing on his erection. "A-ah..." his voice cracked as you dug your nails in again and left three pretty scratches in your wake. Your eye twitched as you struggled to keep your gaze trained on him when his hips bucked again. Seeing the red flesh peek out had you holding back from leaning down and dragging your tongue over it. You needed to see it yourself.

A part of you was impatient, needing to observe every detail of his healing abilities. The other part was impatient for other things as you fidgeted. Hips rocking slowly only to incite tight-lipped grunts when you pressed on the open wound again. You don't know when his hands made their way to your sides, just that you were now pressed firmly enough that you couldn't lift up.

Then his hands grip and direct your lower half, moving you back and forth in his pace. You feel that ticklish sensation between your legs again as you watch skin merge back together, too fast to leave even a scab. Lips that had curled into an enthralled grin trembled when your eyes fluttered and the body below you lifted up slightly, pushing up as you were pressed down.

You looked good. Like, really good when you were watching him. Something almost manic in your eyes when you saw his body heal in real time. It made him go crazy thinking about what you probably wanted to do to him. The ill intent in your gaze as the corner of your lips twitched upwards in morbid interest, showing your teeth. It looked just as good when your eyes lost focus as he had you hump him, mouth hanging open to let out a surprisingly pleased moan.

The pleasure seemed to cloud any logic or reasoning left in you because you had forgotten to explain the next steps. No, you wanted to get straight to it apparently as you leaned down. Wordlessly, your chest pressed against his and if he wasn't holding onto you, you might have slipped off. Lips inched closer to his neck and your warm breath wafted against his already heated skin.

His eyes fluttered closed, expecting lips or a tongue to touch his neck. Instead, he felt pointed canines before you took a hard bite.  His hips stuttered mid grind, once again caught off guard by your actions. His groans matched yours as you found yourself enjoying the sounds and sensations of grinding your teeth against his collarbone. You knew he was sturdy and the fact he got off on your teeth rather than recoil only spurred you to clamp down harder. 

Nails dug into his shoulders as you held onto him. Hips gyrated and bucked against each other, your clothed sexes edging closer and closer to what you both needed. Mark couldn't take much more as he sat up, dipping you onto your mattress as he held onto your thighs and had you wrap your legs around him.

You didn't seem to relent either as your jaw refused to unclench. Not that it mattered to him. Moans muffled behind your teeth, hot air hitting his neck in quick puffs from your breathing. That and the faint ache on his skin had him rutting harder against you.

Strong hands moved up, stopping at your waist as a careful yet firm grip held you in place. Then he thrusted forward again, the movement quick and desperate and needy. He needed it, really really bad. Wanted it as much as you, whose attention was being taken away by the growing intensity of the body dry humping you. Jaw and abdomen equally as tight.

A stuttering slam against your pelvis has you seeing stars and you finally unclench your jaw to cry out. The crash of pleasure has you bucking back up into him and if that didn't do him in, the long scratches down his back and your legs locking him sungly into you does.

Mark collapses on top of you, spent and breathless and you both have most likely needed a change of clothes. Vision hazy, you try to crane your neck and see the damage you should have dealt on his collarbone. The disappointment on your face could be seen a mile away.

Despite your best efforts and rattling you'd felt in your teeth, all you had to show for it was indents from your canines. Already raising back up as if it had never happened.

"I nearly lost a tooth for nothing," you mutter, saving the fact you wanted to leave a mark at all to unpack for another day. A breathy laugh came from beside your head, feeling the vibrations against your chest. His hair tickled your cheek as her turned to look at you, eyes twinkling in the afterglow of climax.

"I mean, it's not bullshit that I'm called-"

A/N: yeah ofc I'd make that fuckass joke.

I haven't written in a good 2 years or so and have drafts before the pandemic for other fics (they're on Wattpad do you understand what type of person I am now). I didn't mean to make reader a lil biology freak but that was fun.

[hyacinth-sims]

THE VOTES ARE IN!!!!!!

y’all are so predictable omg 😔 /j

i’m thinking mostly story/lore wise but feel free to answer how it played out in your game!