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AI explanation

^{Show image generation prompt} Model: dalle-3
Prompt: Prompt: Generate an image in the style of a Discovery magazine cover, depicting the scene of a tense operating room in a Kansas hospital. The surgeons, adorned in scrubs and surgical masks, are gathered around a patient on the table, preparing for a delicate procedure. Meanwhile, in a dimly-lit office, a computer screen displays a series of captivating video titles from Extra History on YouTube, drawing in more and more viewers. As the video titles on the screen lose their coolness, the hands of the surgeons in the operating room begin to tremble. One by one, they struggle to maintain their composure as the captivating nature of the video titles wanes. With each less cool video title, a surgeon leaves the room, unable to steady their hands for the procedure. The connection between the decreasing coolness of the video titles and the increasing number of surgeons departing the operating room becomes apparent, as the steady hands of the surgeons rely on the captivating content to keep their cool during surgeries. 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 cool Extra History YouTube video titles are and The number of surgens in Kansas. 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 Discovery magazine cover image A TIME magazine cover image Oragami A photo-realistic image A scene from Skyrim
ChatGPT: A Discovery magazine cover image

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 cool Extra History YouTube video titles are and The number of surgens in Kansas, in the following situation: As the Extra History video titles became less cool, there was a noticeable increase in the number of surgeons leaving Kansas. It turns out, the coolness of the video titles was directly linked to the steady hands of the surgeons. The more captivating the history content, the steadier their surgical skills. Without the cool video titles, the surgeons just couldn't keep their cool in the operating room.. Keep the description simple.
ChatGPT: In the quiet operating room of a Kansas hospital, a group of surgeons adorned in scrubs and surgical masks gathered around a patient on the table. The atmosphere was tense as the surgeons prepared to begin a delicate procedure. At the same time, in a dimly-lit office, a computer screen displayed a series of captivating video titles from Extra History on YouTube, each one drawing in more and more viewers. As the video titles on the screen lost their coolness, the hands of the surgeons in the operating room began to tremble. One by one, they struggled to maintain their composure as the captivating nature of the video titles waned. With each less cool video title, a surgeon would leave the room, unable to steady their hands for the procedure. The connection between the decreasing coolness of the video titles and the increasing number of surgeons departing the operating room became apparent, as the steady hands of the surgeons relied on the captivating content to keep their cool during surgeries.

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 Discovery magazine cover image ] and depicting this scene: In the quiet operating room of a Kansas hospital, a group of surgeons adorned in scrubs and surgical masks gathered around a patient on the table. The atmosphere was tense as the surgeons prepared to begin a delicate procedure. At the same time, in a dimly-lit office, a computer screen displayed a series of captivating video titles from Extra History on YouTube, each one drawing in more and more viewers. As the video titles on the screen lost their coolness, the hands of the surgeons in the operating room began to tremble. One by one, they struggled to maintain their composure as the captivating nature of the video titles waned. With each less cool video title, a surgeon would leave the room, unable to steady their hands for the procedure. The connection between the decreasing coolness of the video titles and the increasing number of surgeons departing the operating room became apparent, as the steady hands of the surgeons relied on the captivating content to keep their cool during surgeries. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image in the style of a Discovery magazine cover, depicting the scene of a tense operating room in a Kansas hospital. The surgeons, adorned in scrubs and surgical masks, are gathered around a patient on the table, preparing for a delicate procedure. Meanwhile, in a dimly-lit office, a computer screen displays a series of captivating video titles from Extra History on YouTube, drawing in more and more viewers. As the video titles on the screen lose their coolness, the hands of the surgeons in the operating room begin to tremble. One by one, they struggle to maintain their composure as the captivating nature of the video titles wanes. With each less cool video title, a surgeon leaves the room, unable to steady their hands for the procedure. The connection between the decreasing coolness of the video titles and the increasing number of surgeons departing the operating room becomes apparent, as the steady hands of the surgeons rely on the captivating content to keep their cool during surgeries.

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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 Sutured Humor: An Unlikely Connection Between Extra History YouTube Video Titles and Surgeon Numbers in Kansas The Journal of Surgical Satire Jan 2024 Reminder: This paper is AI-generated. Not real!

Problem variable:	Which variable has a problem? How cool Extra History YouTube video titles are The number of surgens in Kansas 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 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 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.
4. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
5. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
   Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

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([7.3089,7.2778,7.0556,7.1985,7.0547,6.9918,6.9634,])
array_2 = np.array([510,360,280,390,210,210,170,])
array_1_name = "How cool Extra History YouTube video titles are"
array_2_name = "The number of surgens in Kansas"

# 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 cool Extra History YouTube video titles are
• Line chart for only The number of surgens in Kansas
• AI-generated correlation image
• The spurious research paper: The Sutured Humor: An Unlikely Connection Between Extra History YouTube Video Titles and Surgeon Numbers in Kansas