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AI explanation

^{Show image generation prompt} Model: dalle-3
Prompt: Generate a comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s. Depict a bustling office in Guam, filled with production, planning, and expediting clerks feverishly coordinating the shipment of gold-plated pineapples. Meanwhile, in London, show a digital display depicting the rising price of gold as the city's elite clamor for a taste of the exclusive delicacy. Capture the unlikely connection between the surplus of clerks in Guam and the soaring London Gold Prices, creating an unexpected frenzy in the world of luxury cuisine and financial extravagance. Keep the visual depiction simple, without any words or speech bubbles. Aim for a visually compelling representation of this unlikely connection, using the specified comic-book style with muted colors and a dotted halftone pattern. 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: The number of production, planning, and expediting clerks in Guam and London Gold Prices. 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: Vaporwave a meme A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Low poly Surrealism
ChatGPT: A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s

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 The number of production, planning, and expediting clerks in Guam and London Gold Prices, in the following situation: The surge in production, planning, and expediting clerks in Guam has led to a global shortage of gold-plated pineapple pizza, a luxury item that has captured the hearts of London's elite. As the demand for this exclusive delicacy skyrockets, so does the price of London Gold in a bizarre case of culinary meets financial extravagance. It's a pizza-fueled, clerk-driven gold rush that no one saw coming, except perhaps for the inexplicably influential pineapple pizza enthusiasts.. Keep the description simple.
ChatGPT: In Guam, a bustling office filled with production, planning, and expediting clerks feverishly coordinate the shipment of gold-plated pineapples. Meanwhile, in London, the price of gold climbs higher and higher on a digital display, as the city's elite clamor for a taste of the exclusive delicacy. The unlikely connection between the surplus of clerks in Guam and the soaring London Gold Prices has brought about an unexpected frenzy in the world of luxury cuisine and financial extravagance.

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 comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s ] and depicting this scene: In Guam, a bustling office filled with production, planning, and expediting clerks feverishly coordinate the shipment of gold-plated pineapples. Meanwhile, in London, the price of gold climbs higher and higher on a digital display, as the city's elite clamor for a taste of the exclusive delicacy. The unlikely connection between the surplus of clerks in Guam and the soaring London Gold Prices has brought about an unexpected frenzy in the world of luxury cuisine and financial extravagance. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s. Depict a bustling office in Guam, filled with production, planning, and expediting clerks feverishly coordinating the shipment of gold-plated pineapples. Meanwhile, in London, show a digital display depicting the rising price of gold as the city's elite clamor for a taste of the exclusive delicacy. Capture the unlikely connection between the surplus of clerks in Guam and the soaring London Gold Prices, creating an unexpected frenzy in the world of luxury cuisine and financial extravagance. Keep the visual depiction simple, without any words or speech bubbles. Aim for a visually compelling representation of this unlikely connection, using the specified comic-book style with muted colors and a dotted halftone pattern.

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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

Clamorous Clerks and Commodity Curves: Correlating the Count of Clerks with London Gold Prices The Journal of Whimsical Economic Research Jan 2024 Reminder: This paper is AI-generated. Not real!

Problem variable:	Which variable has a problem? The number of production, planning, and expediting clerks in Guam London Gold Prices 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([40,140,100,90,320,340,390,650,550,700,])
array_2 = np.array([416.25,435.6,513,632,833.75,869.75,1087.5,1405.5,1531,1657.6,])
array_1_name = "The number of production, planning, and expediting clerks in Guam"
array_2_name = "London Gold Prices"

# 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 The number of production, planning, and expediting clerks in Guam
• Line chart for only London Gold Prices
• AI-generated correlation image
• The spurious research paper: Clamorous Clerks and Commodity Curves: Correlating the Count of Clerks with London Gold Prices