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AI explanation

^{Show image generation prompt} Model: dalle-3
Prompt: Prompt: Generate an image of a bright and spacious office in Illinois, with the Computerphile content creators huddled around their desks. The office is impeccably clean, with the warm glow of polished floors. Several janitors and cleaners are visibly at work in the background, contributing to the pristine environment. The scene exudes a bustling yet harmonious atmosphere, with the janitors unknowingly inspiring the content creators' creativity through their diligent work. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

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This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: How good Computerphile YouTube video titles are and The number of janitors and cleaners in Illinois. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: A scene from Skyrim Hyper-realistic Cyber folk A photo-realistic image Magic realism
ChatGPT: A scene from Skyrim

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both How good Computerphile YouTube video titles are and The number of janitors and cleaners in Illinois, in the following situation: As the number of janitors and cleaners in Illinois increases, so does the quality of Computerphile YouTube video titles. This is because the fresh scent of clean floors and the sound of mops swishing somehow inspire the creators to come up with more captivating and click-worthy titles. It's like a cleaning-fueled creativity boost, sparking a connection between sanitation and sensational video headings. Who knew that the key to digital content success lay in the hands of custodial staff in the Land of Lincoln? It's a tidy lesson in the mysterious ways of video production inspiration!. Keep the description simple.
ChatGPT: In a bright and spacious office in Illinois, the number of janitors and cleaners has noticeably increased. The warm glow of clean, polished floors greets the Computerphile content creators as they huddle around their desks. Inspired by the fresh, clean environment, they eagerly brainstorm captivating YouTube video titles. The diligent custodial staff are the unlikely catalysts for the surge in creativity, their hard work inadvertently boosting the quality of Computerphile's video headings. The connection between cleanliness and compelling content is a surprising yet undeniable reality in this bustling workspace.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A scene from Skyrim ] and depicting this scene: In a bright and spacious office in Illinois, the number of janitors and cleaners has noticeably increased. The warm glow of clean, polished floors greets the Computerphile content creators as they huddle around their desks. Inspired by the fresh, clean environment, they eagerly brainstorm captivating YouTube video titles. The diligent custodial staff are the unlikely catalysts for the surge in creativity, their hard work inadvertently boosting the quality of Computerphile's video headings. The connection between cleanliness and compelling content is a surprising yet undeniable reality in this bustling workspace. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image of a bright and spacious office in Illinois, with the Computerphile content creators huddled around their desks. The office is impeccably clean, with the warm glow of polished floors. Several janitors and cleaners are visibly at work in the background, contributing to the pristine environment. The scene exudes a bustling yet harmonious atmosphere, with the janitors unknowingly inspiring the content creators' creativity through their diligent work.

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*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

AI academic paper

The Titillating Ties: Tallying the Tremendous Traction of Computerphile's YouTube Titles and The Taskforce of Tidiers in Illinois Journal of Online Enticements and Tidying Techniques Jan 2024 Reminder: This paper is AI-generated. Not real!

Problem variable:	Which variable has a problem? How good Computerphile YouTube video titles are The number of janitors and cleaners in Illinois Neither / both
Issue:	What is the issue? The data is incorrect The chart isn't displaying properly There is a typo The source link is incorrect A calculation is wrong Something else
Additional details: Optional
Confirm you are a human:

Data details

Why this works

1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
2. Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
   no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
   p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([7.5556,7.5444,7.5208,7.375,7.4674,7.4222,7.5632,7.4407,7.5319,7.561,])
array_2 = np.array([99150,94850,93310,86230,87920,87220,94280,89440,92790,93150,])
array_1_name = "How good Computerphile YouTube video titles are"
array_2_name = "The number of janitors and cleaners in Illinois"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

• High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
  
  If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
  
  Alternatively you can use a tool like Inkscape.
  
• High resolution line chart, optimized for mobile
• Alternative high resolution line chart
• Scatterplot
• Portable line chart (png)
• Portable line chart (png), optimized for mobile
• Line chart for only How good Computerphile YouTube video titles are
• Line chart for only The number of janitors and cleaners in Illinois
• AI-generated correlation image
• The spurious research paper: The Titillating Ties: Tallying the Tremendous Traction of Computerphile's YouTube Titles and The Taskforce of Tidiers in Illinois