#Text data analysis

[aropride]

i have officially set up the substances spreadsheet for 2025. which is a normal thing to do

[omg-snakes]

Do you think the clutch could have two fathers, retained sperm and meteorite? Thats where my mind went...

Hey friend!

That thought *definitely* crossed my mind, too! I ran the numbers on it to see if that was a reasonable hypothesis. After looking at the stats, though, I think it's pretty unlikely that Snikki retained any sperm from 2022. I'll show you how I came to that conclusion:

Last year's clutch from Snikki was with Chammers, and Snikki double-clutched that year. Her first clutch (SC22) was twelve eggs and the second clutch two months later (SC22B) was one good egg and five slugs. The sheer number of infertile slugs last year in SC22B gives me pause that any sperm could have been retained past that clutch.

Chammers is Anery het Amel, Hypo, and Lavender which is going to result in similar morphs to babies produced by Meteorite, who is Classic Tessera het Anery, Amel, and Hypo. The difference is that Meteorite would produce Tesseras (obvs) and a higher percentage of Classic color morphs than Chammers. Meteorite *can* produce a Ghost baby but the odds were only two in sixty-four and I only got twelve eggs, so statistically I should have seen less than one Ghost baby.

Chammers would be expected to produce about 50% Anery morph combos (Anery/Ghost/Snow), which he did, and Meteorite would be expected to produce only about 25% Anery morph combos, and SM23 actually came in a little lower.

While the morphs present in SM23 could suggest partial retained sperm from Chammers, especially for the statistically possible but improbable Ghost, there's still one thing that's making me think that these are all 100% Meteorite's babies.

Here's the Hypo and Ghost babies from SC22:

For comparison, here are a Hypo and Ghost from SM23:

Notice how much lighter the color is on the SM23 babies, how their pupils are ruby instead of black, and their irises are comparatively darker than the SC22 kiddos despite being lighter overall. All of the Hypos in SM23 are like this, and the Ghost following that same pattern tells me that they're all being subjected to the same Hypo gene expression.

Therefore, I'm pretty sure that SM23 are all full sniblings, and that would mean they're all Meteorite's.

[adrawee]

chat gpt can Suck My Balls dude i just wrote a 2.5k word sorta medical paper all through bullshitting and translating foreign language articles like God intented. i am unstoppable

[datamodel-of-disaster]

Bought a database design book older than me. Let's find out how the best practices have evolved since the 90s...

[manmishra]

🚀 The ChatGPT Desktop App is Changing the Game! 🤯💻 Imagine having an AI assistant that can: ✅ Reply to emails in seconds 📧⏩ ✅ Generate high-quality images with DALL-E 🎨🤩 ✅ Summarize long content instantly 📖📜 ✅ Write HTML/CSS code from screenshots 💻💡 ✅ Translate text across multiple languages 🌍🗣️ ✅ Extract text from images easily 📷📝 ✅ Analyze large datasets from Excel/CSV files 📊📈 👉 This app is designed to save your time. #ChatGPT #ChatGPTDesktopApp #AIProductivity #dalle #TechT

[th3wizardoz]

I wish excel was alive so I could beat it to death with a baseball bat

[thursdaynights]

Camping horror stories: The forest would like to watch you pee.

10 pm. we’re shuffling ourselves to the bathroom.

Shone a headlamp into the forest to spotlight what is moving around in the dark.

Confused as to why I’m seeing glowing spots in the middle distance in front and on either side of us within the trees.

“What are all of those shiny things..?”(dummy. Himbo supreme for not realizing right away)

Pairs of something reflecting my light, 4 inches apart. 3-4 feet off the ground.

My best friend looks up and confirms

“….o h. eyes. All on us. Those are eyes and they’re all looking at us”

It was a herd of six or so deer hanging around the bathroom area bc there are trash cans there.

How espooky. 

[innova7ions]

Discover the Power of Fliki AI for Creators!

Fliki AI is a cutting-edge tool revolutionizing the AI industry by offering a seamless platform for generating high-quality content efficiently. Important Note: This video contains Affiliate links, where if someone navigates to them, there is a possibility that a commission will be paid to me by the affiliate.

Fliki AI:

With the increasing demand for AI-generated content, Fliki AI stands out as a game-changer in the field. Generating AI content efficiently is crucial for businesses and content creators looking to streamline their workflow and produce engaging articles quickly.

Fliki AI simplifies the content creation process, saving time and resources while maintaining top-notch quality. By using Fliki AI, you can unlock a plethora of benefits such as improved productivity, enhanced creativity, and access to a wide range of article ideas tailored to your specific needs. Stay tuned to discover how Fliki AI can elevate your content creation!

#aicontentgeneration #artificialintelligencerevolution

[aropride]

house's diagnostic team (wilson and cuddy too are in this spreadsheet), the number and percentage of episodes they're in, and the number and percentage of fics (published after they appeared on the show) they appear in.

and it is not lost on me that the only black man in the main cast also had the most disproportionate fics-to-episodes ratio & is the only person to go down multiple rows in the most-to-least fics ranking. and by "not lost on me" i mean "i figured that would be the case and made an excel spreadsheet to prove it"

[techinfotrends]

Want to make NLP tasks a breeze? Explore how NLTK streamlines text analysis in Python, making it easier to extract valuable insights from your data. Discover more https://bit.ly/487hj9L

[feminist-space]

"Balaji’s death comes three months after he publicly accused OpenAI of violating U.S. copyright law while developing ChatGPT, a generative artificial intelligence program that has become a moneymaking sensation used by hundreds of millions of people across the world.

Its public release in late 2022 spurred a torrent of lawsuits against OpenAI from authors, computer programmers and journalists, who say the company illegally stole their copyrighted material to train its program and elevate its value past $150 billion.

The Mercury News and seven sister news outlets are among several newspapers, including the New York Times, to sue OpenAI in the past year.

In an interview with the New York Times published Oct. 23, Balaji argued OpenAI was harming businesses and entrepreneurs whose data were used to train ChatGPT.

“If you believe what I believe, you have to just leave the company,” he told the outlet, adding that “this is not a sustainable model for the internet ecosystem as a whole.”

Balaji grew up in Cupertino before attending UC Berkeley to study computer science. It was then he became a believer in the potential benefits that artificial intelligence could offer society, including its ability to cure diseases and stop aging, the Times reported. “I thought we could invent some kind of scientist that could help solve them,” he told the newspaper.

But his outlook began to sour in 2022, two years after joining OpenAI as a researcher. He grew particularly concerned about his assignment of gathering data from the internet for the company’s GPT-4 program, which analyzed text from nearly the entire internet to train its artificial intelligence program, the news outlet reported.

The practice, he told the Times, ran afoul of the country’s “fair use” laws governing how people can use previously published work. In late October, he posted an analysis on his personal website arguing that point.

No known factors “seem to weigh in favor of ChatGPT being a fair use of its training data,” Balaji wrote. “That being said, none of the arguments here are fundamentally specific to ChatGPT either, and similar arguments could be made for many generative AI products in a wide variety of domains.”

Reached by this news agency, Balaji’s mother requested privacy while grieving the death of her son.

In a Nov. 18 letter filed in federal court, attorneys for The New York Times named Balaji as someone who had “unique and relevant documents” that would support their case against OpenAI. He was among at least 12 people — many of them past or present OpenAI employees — the newspaper had named in court filings as having material helpful to their case, ahead of depositions."

[chao-s-gremlin]

Side note: I do not live in an English-speaking country, however I do know some English and all my colleagues do too. I work in IT and we kinda need it for programming and communication with English-speaking departments. Enough to understand each other, not enough to pass as a native speaker.

Anyway, I’m a junior data analyst and l have sorta kinda a mentor who is an older man and is a senior data analyst. He is amazing and really smart, but he’s not as good at English.

That’s how we ended up with an official data table sent to my boss and her boss named “pissimistic” (supposed to be pessimistic forecast) and another one named “piss_data”

This is the funniest shit and I’m laughing my ass off and he just stands there like “what”

PISS DATA LMFAO

[prokopetz]

I'm not gonna claim that most Tumblr polls are anything like rigorously structured, but I've seen a lot of folks rather smugly asserting that having a "not applicable" option that ends up dominating all other responses is evidence that the person who created the poll is incompetent, and y'all: under the specific circumstances in which these polls are constructed and distributed, that outcome is evidence of good poll design, not bad poll design. Yes, even when the "not applicable" responses outnumber all other responses ten to one. There are several reasons for that:

At the time of this posting, Tumblr polls have no "see response" button. The only ways to see a poll's distribution of responses are to wait for the poll to conclude, or to respond yourself – and not only are people on social media typically curious and impatient, many of them also know that there's no way they'll remember to check back later once the poll has concluded, so in practice, their opportunity to see the results is now or never. Adding a little note to the poll insisting that people who aren't part of the targeted demographic should refrain from voting isn't necessarily going to restrain that impulse. Indeed, it may end up encouraging folks who otherwise wouldn't have picked a random result-revealing response to do so, because fuck you, don't tell me what to do.

Many respondents genuinely won't realise they're not part of the targeted demographic until after they've voted. It doesn't matter how much text you add to contextualise the poll, because they'll read the poll first, and if they read the accompanying text at all, it's only after they've responded. Heck, a lot of folks don't even bother to read the question before responding to a poll; they just start going down the options and reflexively click the first one that seems like it might apply to them, then go back and read what was actually being asked (and complain in the notes if it turns out that they misunderstood). Even a well-meaning person can only comply with instructions they've actually read; for those folks, clicking the "not applicable" option is what compliance looks like.

Even folks who do fit your poll's targeted demographic can fall prey to the imp of the perverse. Giving the most accurate response rather than the most entertaining one can be a real struggle for a lot of folks; in scientific analysis of polling data, this is known as the "mischievous responder bias". In an informal setting like Tumblr, it's reasonable to suppose that the mischievous responder effect might be exaggerated compared to polls conducted in more formal contexts, and a well-designed poll is going to take that into account. A humorous "not applicable" option provides an escape by affording folks the freedom to screw around with the knowledge that they're not polluting useful data by doing so; in practice, the "I am a toaster" option is a mischievous response filter.

What this adds up to is that a poll where 90% of the responses hit the "not applicable" button is more likely to have yielded useful data than a poll with a narrow target audience where some unknown percentage of the responses represent folks not reading the instructions, clicking random options to see the results, and/or taking the piss.

[skellam01]

Revolutionize Your Business with Skellam's Enterprise LLM Architecture!

Discover the future of LLM architecture with Skellam's cutting-edge LLM (Lean, Light, Modular) approach. Our innovative solutions empower your business to scale efficiently, adapt to changing landscapes, and stay ahead of the competition. Experience unmatched flexibility, security, and performance as we redefine the way you architect your enterprise. Elevate your organization's capabilities with Skellam's Enterprise LLM Architecture – where simplicity meets scalability.