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AI explanation

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image that captures the essence of this prompt: Show a comic book store with a bright sign featuring the latest xkcd comic about sarcasm. The comic should depict a witty and sarcastic remark. Passersby should be depicted chuckling as they read the comic. In the background, include a large screen displaying the stock market, with a focus on BP's stock price. As the number of sarcastic xkcd comics in the store decreases, people around should be seen with puzzled expressions and the BP stock price should be depicted as steadily declining. This shift should reflect the changing attitudes towards sarcasm and its impact on BP's stock value. Ensure the details are clear and the interconnected narrative between the declining comic count and BP stock price is visually emphasized. 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: xkcd comics published about sarcasm and BP's stock price (BP). 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 funny image macro Realistic Cybernetic art Oragami a meme
ChatGPT: a funny image macro

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 xkcd comics published about sarcasm and BP's stock price (BP), in the following situation: As the number of sarcastic xkcd comics decreased, so did the overall sarcasm in the world. With less sarcasm, people took BP's stock price more seriously, leading to a decrease in its value.. Keep the description simple.
ChatGPT: In the scene, there is a comic book store with a sign showcasing the latest xkcd comic about sarcasm. The comic features a witty and sarcastic remark. People passing by are seen chuckling as they read the comic. Meanwhile, in the background, there is a large screen displaying the stock market, specifically BP's stock price. As the number of sarcastic xkcd comics decreases, the comic book store's window displays fewer sarcastic comics, and the people around are seen with puzzled expressions. Simultaneously, the BP stock price on the screen begins to steadily decline, reflecting the shift in the world's attitude towards sarcasm and the resulting impact on BP's stock value.

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 funny image macro ] and depicting this scene: In the scene, there is a comic book store with a sign showcasing the latest xkcd comic about sarcasm. The comic features a witty and sarcastic remark. People passing by are seen chuckling as they read the comic. Meanwhile, in the background, there is a large screen displaying the stock market, specifically BP's stock price. As the number of sarcastic xkcd comics decreases, the comic book store's window displays fewer sarcastic comics, and the people around are seen with puzzled expressions. Simultaneously, the BP stock price on the screen begins to steadily decline, reflecting the shift in the world's attitude towards sarcasm and the resulting impact on BP's stock value. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that captures the essence of this prompt: Show a comic book store with a bright sign featuring the latest xkcd comic about sarcasm. The comic should depict a witty and sarcastic remark. Passersby should be depicted chuckling as they read the comic. In the background, include a large screen displaying the stock market, with a focus on BP's stock price. As the number of sarcastic xkcd comics in the store decreases, people around should be seen with puzzled expressions and the BP stock price should be depicted as steadily declining. This shift should reflect the changing attitudes towards sarcasm and its impact on BP's stock value. Ensure the details are clear and the interconnected narrative between the declining comic count and BP stock price is visually emphasized.

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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

Sarcasm and Stock: An Unlikely Duo - Exploring the Correlation Between xkcd Comics on Sarcasm and BP's Stock Price The Journal of Satirical Finance Jan 2024 Reminder: This paper is AI-generated. Not real!

Problem variable:	Which variable has a problem? xkcd comics published about sarcasm BP's stock price (BP) 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.

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([16,19,11,13,12,13,6,11,6,6,13,10,4,7,3,4,2,])
array_2 = np.array([67.27,73.78,47,59.3,44.9,43.79,42.45,48.43,38.21,30.8,38.1,42.06,37.47,38.04,21.09,26.69,35,])
array_1_name = "xkcd comics published about sarcasm"
array_2_name = "BP's stock price (BP)"

# 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 xkcd comics published about sarcasm
• Line chart for only BP's stock price (BP)
• AI-generated correlation image
• The spurious research paper: Sarcasm and Stock: An Unlikely Duo - Exploring the Correlation Between xkcd Comics on Sarcasm and BP's Stock Price