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AI explanation

^{Show image generation prompt} Model: dalle-3
Prompt: Prompt: Create an image reminiscent of Vaporwave, featuring a vibrant office setting filled with Google employees excitedly waving their paychecks. Some employees can be seen heading to a nearby music store, exchanging their earbuds for vintage record players, while across the street, a luxurious mansion in Silicon Valley lights up as Google executives host a glamorous party. Inside, the scene is filled with the sound of nostalgic vinyl as the tech elite gather around shiny record players. A group of engineers is huddled in a top-secret lab, embedding tiny vinyl records into search engine algorithms. The scene should reflect a collision of classic charm and innovation in the heart of the tech world, with subtle nods to retro album art and the warm crackle of old records. 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 situation described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here is a situation: Google's increase in net income caused sales of LP/vinyl albums to also increase because as Google's profits rose, more employees were able to afford record players and decided to trade in their digital playlists for some groovy vinyl. With more money rolling in, Google executives started hosting "vinyl nights" at their swanky Silicon Valley parties, introducing the tech elite to the joys of analog sound and sparking a trend of vinyl resurgence. Plus, with extra cash, Google invested in a top-secret project to embed tiny vinyl records into search engine algorithms, resulting in a surge of retro music nostalgia among users. In the end, it turns out that Google isn't just changing the digital world, but also spinning the turntables of the music industry!. Given that situation, which of the following image descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand and the tone of the explanation. Please respond with only one of the following potential descriptions: Hyper-realistic Low poly Woodblock painting Vaporwave Low poly
ChatGPT: Vaporwave

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated and the explanation described. Do not reference graphs or charts; describe physical objects.
User prompt: Please describe a visual scene that depicts the following situation. Keep the description simple. Google's increase in net income caused sales of LP/vinyl albums to also increase because as Google's profits rose, more employees were able to afford record players and decided to trade in their digital playlists for some groovy vinyl. With more money rolling in, Google executives started hosting "vinyl nights" at their swanky Silicon Valley parties, introducing the tech elite to the joys of analog sound and sparking a trend of vinyl resurgence. Plus, with extra cash, Google invested in a top-secret project to embed tiny vinyl records into search engine algorithms, resulting in a surge of retro music nostalgia among users. In the end, it turns out that Google isn't just changing the digital world, but also spinning the turntables of the music industry!
ChatGPT: In a vibrant office scene, Google employees can be seen waving their paychecks in excitement. Several employees are seen heading to a nearby music store and swapping their earbuds for vintage record players. Across the street, a luxurious mansion in Silicon Valley lights up as Google executives host a glamorous party. Inside, the sound of nostalgic vinyl fills the air as the tech elite gather around shiny record players. A group of engineers is huddled in a top-secret lab, carefully embedding tiny vinyl records into search engine algorithms. As the music spins, digital screens flicker with retro album art and the familiar crackle of old records. The scene is imbued with a sense of classic charm and innovation colliding in the heart of the tech world.

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: [ Vaporwave ] and depicting this scene: In a vibrant office scene, Google employees can be seen waving their paychecks in excitement. Several employees are seen heading to a nearby music store and swapping their earbuds for vintage record players. Across the street, a luxurious mansion in Silicon Valley lights up as Google executives host a glamorous party. Inside, the sound of nostalgic vinyl fills the air as the tech elite gather around shiny record players. A group of engineers is huddled in a top-secret lab, carefully embedding tiny vinyl records into search engine algorithms. As the music spins, digital screens flicker with retro album art and the familiar crackle of old records. The scene is imbued with a sense of classic charm and innovation colliding in the heart of the tech world. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Create an image reminiscent of Vaporwave, featuring a vibrant office setting filled with Google employees excitedly waving their paychecks. Some employees can be seen heading to a nearby music store, exchanging their earbuds for vintage record players, while across the street, a luxurious mansion in Silicon Valley lights up as Google executives host a glamorous party. Inside, the scene is filled with the sound of nostalgic vinyl as the tech elite gather around shiny record players. A group of engineers is huddled in a top-secret lab, embedding tiny vinyl records into search engine algorithms. The scene should reflect a collision of classic charm and innovation in the heart of the tech world, with subtle nods to retro album art and the warm crackle of old records.

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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

Google's Net Income and LP/Vinyl Album Sales: An Unlikely Rhyme in Time The Journal of Interdisciplinary Musical Economics Jan 2024 Reminder: This paper is AI-generated. Not real!

Problem variable:	Which variable has a problem? Google's Net Income Sales of LP/Vinyl Albums 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([204.1,372.21,1.03,1.21,382.44,1.97,2.54,2.7,2.89,3.38,14136,15826,19478,12662,30736,34343,40269,76033,59972,])
array_2 = np.array([1200000,900000,900000,1000000,1900000,2500000,2800000,3900000,4600000,6100000,9200000,11900000,13100000,14320000,16800000,18840000,21500000,41700000,43460000,])
array_1_name = "Google's Net Income"
array_2_name = "Sales of LP/Vinyl Albums"

# 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 Google's Net Income
• Line chart for only Sales of LP/Vinyl Albums
• The spurious research paper: Google's Net Income and LP/Vinyl Album Sales: An Unlikely Rhyme in Time