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Spurious correlation #5,325 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for Republican Senators in Georgia and the second variable is Prologis' stock price (PLD).  The chart goes from 2002 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

The increase in Republican votes for Senators in Georgia led to plans for a massive new storage facility for the surplus of cowboy hats and elephant-shaped pool floaties, creating high demand for Prologis' warehouse properties and boosting their stock price.

Model: dalle-3
Prompt: How about this prompt, tailored for the requested style? "Generate a comic book-style illustration in the aesthetic of the 1960s, featuring muted colors and a classic dotted halftone pattern. Depict a bustling Georgia town scene with a tall Prologis warehouse at the center, prominently displaying a "PLD" stock ticker sign. Show a line of enthusiastic voters streaming into the polling station to cast their votes for the Republican Senators. Additionally, include a convoy of trucks unloading stacks of cowboy hats and elephant-shaped pool floaties outside the warehouse, ready to be stored. Ensure the stock price ticker outside the building reflects a noticeable upward jump, symbolizing the high demand for warehouse space and the promising future for Prologis. The visual should be simple, without any words or speech bubbles." The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
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: Votes for Republican Senators in Georgia and Prologis' stock price (PLD). 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: Concept art Realistic inspired by bauhaus Concept art A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
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 Votes for Republican Senators in Georgia and Prologis' stock price (PLD), in the following situation: The increase in Republican votes for Senators in Georgia led to plans for a massive new storage facility for the surplus of cowboy hats and elephant-shaped pool floaties, creating high demand for Prologis' warehouse properties and boosting their stock price.. Keep the description simple.
ChatGPT: In a bustling Georgia town, a tall Prologis warehouse with a "PLD" stock ticker sign stands proudly in the center. A line of voters streams into the polling station, excitedly casting their votes for the Republican Senators. Meanwhile, a convoy of trucks unloads stacks of cowboy hats and elephant-shaped pool floaties, ready to be stored in the expanding warehouse. The stock price ticker outside the building jumps upwards, reflecting the high demand for warehouse space, and the promising future for Prologis.

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 a bustling Georgia town, a tall Prologis warehouse with a "PLD" stock ticker sign stands proudly in the center. A line of voters streams into the polling station, excitedly casting their votes for the Republican Senators. Meanwhile, a convoy of trucks unloads stacks of cowboy hats and elephant-shaped pool floaties, ready to be stored in the expanding warehouse. The stock price ticker outside the building jumps upwards, reflecting the high demand for warehouse space, and the promising future for Prologis. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: How about this prompt, tailored for the requested style? "Generate a comic book-style illustration in the aesthetic of the 1960s, featuring muted colors and a classic dotted halftone pattern. Depict a bustling Georgia town scene with a tall Prologis warehouse at the center, prominently displaying a "PLD" stock ticker sign. Show a line of enthusiastic voters streaming into the polling station to cast their votes for the Republican Senators. Additionally, include a convoy of trucks unloading stacks of cowboy hats and elephant-shaped pool floaties outside the warehouse, ready to be stored. Ensure the stock price ticker outside the building reflects a noticeable upward jump, symbolizing the high demand for warehouse space and the promising future for Prologis. The visual should be simple, without any words or speech bubbles."

*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.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Republican votes for Senators in Georgia caused Prologis' stock price (PLD) to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD)

The Journal of Political Economy and Financial Markets

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Republican votes for Senators in Georgia and Prologis' stock price (PLD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title seem clever.

Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9686064 and p < 0.01 for 2002 to 2021.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
"Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD)"

[[ABSTRACT]]
This study examines the intriguing correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv), our research team sought to shed light on this unlikely relationship. The correlation coefficient of 0.9686064 and p < 0.01 reflected a remarkably strong association, causing even the staunchest skeptics to raise an eyebrow.

Astonishingly, our findings indicate a significant positive correlation between the number of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). This eyebrow-raising relationship prompts one to ponder: are political preferences inadvertently influencing financial decision-making? One might even quip that politics has the potential to "stock" it to the markets, drawing both chuckles and contemplative nods.

Further exploration of this relationship could offer valuable insights into the behavioral economics of investment decisions in relation to political climates. This study aims to stimulate discussions and perhaps even provoke a wry smile or two, encouraging researchers to take a lighthearted yet critical perspective on the quirky interplay between politics and finance.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Georgia and Prologis' stock price (PLD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
"Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD)"

[[ABSTRACT]]
This study examines the intriguing correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv), our research team sought to shed light on this unlikely relationship. The correlation coefficient of 0.9686064 and p < 0.01 reflected a remarkably strong association, causing even the staunchest skeptics to raise an eyebrow.

Astonishingly, our findings indicate a significant positive correlation between the number of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). This eyebrow-raising relationship prompts one to ponder: are political preferences inadvertently influencing financial decision-making? One might even quip that politics has the potential to "stock" it to the markets, drawing both chuckles and contemplative nods.

Further exploration of this relationship could offer valuable insights into the behavioral economics of investment decisions in relation to political climates. This study aims to stimulate discussions and perhaps even provoke a wry smile or two, encouraging researchers to take a lighthearted yet critical perspective on the quirky interplay between politics and finance.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intersection of politics and finance has long been a source of fascination for scholars and pundits alike. The unexpected interplay between political events and financial markets often gives rise to eyebrow-raising correlations that leave analysts scratching their heads. In the case of the 2020 and 2021 Senate elections in Georgia, it appears that the stock price of Prologis (PLD) may have found itself in the midst of this peculiar dance between political outcomes and market reactions.

A wise man once said, "I told my wife she should embrace her mistakes. She gave me a hug." In a similar vein, our research aims to embrace the unlikely correlation between Republican votes for Senators in Georgia and the stock performance of Prologis (PLD). While this connection may initially seem as improbable as finding a needle in a haystack, our findings suggest that there might be more to this relationship than meets the eye.

Examining the correlation between political voting patterns and stock prices may seem as unexpected as discovering a "left-wing" bird or a "right-wing" bat. However, as the data will reveal, the association between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) is far from a flight of fancy.

It is with an intent as clear as a blue sky that we delve into this peculiar relationship, aiming to uncover the underlying mechanisms that may drive such an improbable correlation. As dry as a well-done steak, our approach combines rigorous statistical analysis with a hint of humor to shed light on this curious convergence of political and financial spheres.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Georgia and Prologis' stock price (PLD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD)"

[[ABSTRACT]]
This study examines the intriguing correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv), our research team sought to shed light on this unlikely relationship. The correlation coefficient of 0.9686064 and p < 0.01 reflected a remarkably strong association, causing even the staunchest skeptics to raise an eyebrow.

Astonishingly, our findings indicate a significant positive correlation between the number of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). This eyebrow-raising relationship prompts one to ponder: are political preferences inadvertently influencing financial decision-making? One might even quip that politics has the potential to "stock" it to the markets, drawing both chuckles and contemplative nods.

Further exploration of this relationship could offer valuable insights into the behavioral economics of investment decisions in relation to political climates. This study aims to stimulate discussions and perhaps even provoke a wry smile or two, encouraging researchers to take a lighthearted yet critical perspective on the quirky interplay between politics and finance.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of politics and finance has long been a source of fascination for scholars and pundits alike. The unexpected interplay between political events and financial markets often gives rise to eyebrow-raising correlations that leave analysts scratching their heads. In the case of the 2020 and 2021 Senate elections in Georgia, it appears that the stock price of Prologis (PLD) may have found itself in the midst of this peculiar dance between political outcomes and market reactions.
A wise man once said, "I told my wife she should embrace her mistakes. She gave me a hug." In a similar vein, our research aims to embrace the unlikely correlation between Republican votes for Senators in Georgia and the stock performance of Prologis (PLD). While this connection may initially seem as improbable as finding a needle in a haystack, our findings suggest that there might be more to this relationship than meets the eye.
Examining the correlation between political voting patterns and stock prices may seem as unexpected as discovering a "left-wing" bird or a "right-wing" bat. However, as the data will reveal, the association between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) is far from a flight of fancy.
It is with an intent as clear as a blue sky that we delve into this peculiar relationship, aiming to uncover the underlying mechanisms that may drive such an improbable correlation. As dry as a well-done steak, our approach combines rigorous statistical analysis with a hint of humor to shed light on this curious convergence of political and financial spheres.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In "Smith et al.," the authors find that political events and financial markets often interact in unexpected ways, leading to eyebrow-raising correlations that challenge conventional wisdom. Similarly, Doe and Jones observe that the intersection of politics and finance has long been a source of fascination for scholars and pundits alike, as it provides an opportunity for surprising discoveries that can leave analysts scratching their heads.

Now, let's dust off our bookshelves and explore some relevant literature related to the curious relationship between political voting patterns and stock prices. In "Fooled by Randomness" by Nassim Nicholas Taleb, the author discusses the impact of randomness and unforeseen events on financial markets, which may shed light on the unexpected correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD). And in "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the curious interplay between seemingly unrelated factors is explored, offering insights into the unconventional connections that our research seeks to unravel.

Turning to the world of fiction, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams presents a comically absurd view of the universe and its unpredictable nature, akin to the unlikely correlation between political preferences and stock market performance. Additionally, in Kurt Vonnegut's "Cat's Cradle," readers are confronted with the absurdity of human behavior and the unforeseen consequences of our actions, mirroring the unanticipated relationship between Republican votes for Senators in Georgia and the stock price of Prologis (PLD).

In the realm of cinema, the movie "Moneyball" provides an engaging portrayal of the unorthodox methods of the Oakland Athletics baseball team in assembling a competitive roster. Similarly, our study aims to challenge conventional thinking by exploring the unconventional relationship between political voting patterns and stock prices, adding a twist to the traditional approach of financial analysis.

In "Bridget Jones's Diary," the protagonist navigates the complexities of modern life and relationships, akin to the intricate dance between political events and financial markets. While the connection between Bridget's romantic escapades and the stock price of Prologis (PLD) may seem far-fetched, our research aims to uncover the underlying mechanisms driving this unlikely correlation.

Thus, our literature review offers a comprehensive exploration of relevant non-fiction and fictional works that parallel the unexpected correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD), engaging with themes of unpredictability, unanticipated connections, and the humorous absurdity of human behavior.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Georgia and Prologis' stock price (PLD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and LSEG Analytics (Refinitiv) . You used data from 2002 to 2021

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD)"

[[ABSTRACT]]
This study examines the intriguing correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv), our research team sought to shed light on this unlikely relationship. The correlation coefficient of 0.9686064 and p < 0.01 reflected a remarkably strong association, causing even the staunchest skeptics to raise an eyebrow.

Astonishingly, our findings indicate a significant positive correlation between the number of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). This eyebrow-raising relationship prompts one to ponder: are political preferences inadvertently influencing financial decision-making? One might even quip that politics has the potential to "stock" it to the markets, drawing both chuckles and contemplative nods.

Further exploration of this relationship could offer valuable insights into the behavioral economics of investment decisions in relation to political climates. This study aims to stimulate discussions and perhaps even provoke a wry smile or two, encouraging researchers to take a lighthearted yet critical perspective on the quirky interplay between politics and finance.

[[INTRODUCTION]]
The intersection of politics and finance has long been a source of fascination for scholars and pundits alike. The unexpected interplay between political events and financial markets often gives rise to eyebrow-raising correlations that leave analysts scratching their heads. In the case of the 2020 and 2021 Senate elections in Georgia, it appears that the stock price of Prologis (PLD) may have found itself in the midst of this peculiar dance between political outcomes and market reactions.
A wise man once said, "I told my wife she should embrace her mistakes. She gave me a hug." In a similar vein, our research aims to embrace the unlikely correlation between Republican votes for Senators in Georgia and the stock performance of Prologis (PLD). While this connection may initially seem as improbable as finding a needle in a haystack, our findings suggest that there might be more to this relationship than meets the eye.
Examining the correlation between political voting patterns and stock prices may seem as unexpected as discovering a "left-wing" bird or a "right-wing" bat. However, as the data will reveal, the association between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) is far from a flight of fancy.
It is with an intent as clear as a blue sky that we delve into this peculiar relationship, aiming to uncover the underlying mechanisms that may drive such an improbable correlation. As dry as a well-done steak, our approach combines rigorous statistical analysis with a hint of humor to shed light on this curious convergence of political and financial spheres.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data utilized in this study was gathered from various reputable sources, including the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv). The time frame for data collection spanned from 2002 to 2021, capturing multiple election cycles and market fluctuations.

Experimental Design:
To investigate the relationship between Republican votes for Senators in Georgia and the stock price of Prologis (PLD), a multi-faceted approach was employed. First, historical election results were meticulously correlated with the corresponding stock performances of Prologis (PLD) over the specified period. This process mirrored the precision of a skilled chess player contemplating their next move, albeit with an added element of unpredictability.

Statistical Analysis:
The correlation coefficient of 0.9686064 and a significance level of p < 0.01 were derived through rigorous statistical analyses, illuminating a strikingly robust association between Republican votes for Senators in Georgia and the stock price of Prologis (PLD). The statistical tests were as reliable as a Swiss watch, revealing an unexpected connection that left even the most seasoned researchers pleasantly surprised.

A wise statistician once said, "I'm reading a book on the history of glue. I just can't seem to put it down." Similarly, our statistical analyses held our attention with a steadfast grip, unveiling the captivating link between political voting patterns and stock market performance.

Preliminary Investigations:
Prior to delving into the core analyses, preliminary investigations were conducted to explore potential confounding variables and alternative explanations for the observed correlation. This process involved traversing through data with the meticulousness of a detective searching for clues, discounting implausible hypotheses with the deadpan certainty of Sherlock Holmes.

The core research question begged to be answered with the commitment of a dedicated dad joke enthusiast at a comedy show – unyielding and eager to extract mirth from the unlikeliest of contexts.

Control Measures:
To mitigate the influence of extraneous factors, control measures were implemented to ensure the robustness and validity of the findings. The implementation of control variables was as deliberate as a carefully crafted pun, enriching the analyses with layers of nuance and precision.

As with all endeavors involving the empirical sciences, our methodology sought to strike a harmonious balance between gravitas and the occasional lighthearted wink in the direction of unexpected findings.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Georgia and Prologis' stock price (PLD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and LSEG Analytics (Refinitiv) .

For the time period 2002 to 2021, you found a correlation 0.9686064, r-squared of 0.9381984, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
"Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD)"

[[ABSTRACT]]
This study examines the intriguing correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv), our research team sought to shed light on this unlikely relationship. The correlation coefficient of 0.9686064 and p < 0.01 reflected a remarkably strong association, causing even the staunchest skeptics to raise an eyebrow.

Astonishingly, our findings indicate a significant positive correlation between the number of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). This eyebrow-raising relationship prompts one to ponder: are political preferences inadvertently influencing financial decision-making? One might even quip that politics has the potential to "stock" it to the markets, drawing both chuckles and contemplative nods.

Further exploration of this relationship could offer valuable insights into the behavioral economics of investment decisions in relation to political climates. This study aims to stimulate discussions and perhaps even provoke a wry smile or two, encouraging researchers to take a lighthearted yet critical perspective on the quirky interplay between politics and finance.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of politics and finance has long been a source of fascination for scholars and pundits alike. The unexpected interplay between political events and financial markets often gives rise to eyebrow-raising correlations that leave analysts scratching their heads. In the case of the 2020 and 2021 Senate elections in Georgia, it appears that the stock price of Prologis (PLD) may have found itself in the midst of this peculiar dance between political outcomes and market reactions.
A wise man once said, "I told my wife she should embrace her mistakes. She gave me a hug." In a similar vein, our research aims to embrace the unlikely correlation between Republican votes for Senators in Georgia and the stock performance of Prologis (PLD). While this connection may initially seem as improbable as finding a needle in a haystack, our findings suggest that there might be more to this relationship than meets the eye.
Examining the correlation between political voting patterns and stock prices may seem as unexpected as discovering a "left-wing" bird or a "right-wing" bat. However, as the data will reveal, the association between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) is far from a flight of fancy.
It is with an intent as clear as a blue sky that we delve into this peculiar relationship, aiming to uncover the underlying mechanisms that may drive such an improbable correlation. As dry as a well-done steak, our approach combines rigorous statistical analysis with a hint of humor to shed light on this curious convergence of political and financial spheres.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the data revealed a striking correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. The correlation coefficient of 0.9686064 indicated a near-perfect positive relationship between these seemingly disparate variables. It seems that political leanings may have inadvertently become entangled with stock market performance, creating a connection that has left even the most seasoned researchers raising an eyebrow.

One might jest that the connection between the two variables is as unexpected as finding a "republican" in a blue state, but the data speaks for itself. The remarkably high r-squared value of 0.9381984 further emphasizes the robustness of this correlation, suggesting that nearly 94% of the variation in Prologis' stock price can be explained by the variation in Republican votes for Senators in Georgia. This finding is as clear as a bell – or in this case, a stock ticker.

With a p-value of less than 0.01, the results provide strong evidence to reject the null hypothesis, indicating that this correlation is unlikely to have occurred by mere chance. One might quip that the odds of this correlation being a fluke are as slim as a needle in a haystack – or, given the stock market context, as slim as finding an undervalued tech stock in today's market.

Fig. 1 presents a scatterplot illustrating the strong positive correlation between Republican votes for Senators in Georgia and Prologis' stock price (PLD). The data points form a nearly perfect linear relationship, reinforcing the substantial association revealed by the statistical analysis. It is as though the two variables are engaged in a synchronized dance, moving in tandem over the years, much like a well-coordinated financial pas de deux.

In conclusion, the findings of this study highlight an intriguing and unexpected relationship between political events and financial market dynamics. The remarkable correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) not only raises eyebrows, but also invites researchers to delve deeper into the complex interplay between politics and stock market performance. It appears that in the world of finance, even political preferences may have a surprising influence, leaving us to ponder: could it be that the "stock" market has a political leaning after all?


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Georgia and Prologis' stock price (PLD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
"Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD)"

[[ABSTRACT]]
This study examines the intriguing correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv), our research team sought to shed light on this unlikely relationship. The correlation coefficient of 0.9686064 and p < 0.01 reflected a remarkably strong association, causing even the staunchest skeptics to raise an eyebrow.

Astonishingly, our findings indicate a significant positive correlation between the number of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). This eyebrow-raising relationship prompts one to ponder: are political preferences inadvertently influencing financial decision-making? One might even quip that politics has the potential to "stock" it to the markets, drawing both chuckles and contemplative nods.

Further exploration of this relationship could offer valuable insights into the behavioral economics of investment decisions in relation to political climates. This study aims to stimulate discussions and perhaps even provoke a wry smile or two, encouraging researchers to take a lighthearted yet critical perspective on the quirky interplay between politics and finance.

[[LITERATURE REVIEW]]
In "Smith et al.," the authors find that political events and financial markets often interact in unexpected ways, leading to eyebrow-raising correlations that challenge conventional wisdom. Similarly, Doe and Jones observe that the intersection of politics and finance has long been a source of fascination for scholars and pundits alike, as it provides an opportunity for surprising discoveries that can leave analysts scratching their heads.
Now, let's dust off our bookshelves and explore some relevant literature related to the curious relationship between political voting patterns and stock prices. In "Fooled by Randomness" by Nassim Nicholas Taleb, the author discusses the impact of randomness and unforeseen events on financial markets, which may shed light on the unexpected correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD). And in "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the curious interplay between seemingly unrelated factors is explored, offering insights into the unconventional connections that our research seeks to unravel.
Turning to the world of fiction, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams presents a comically absurd view of the universe and its unpredictable nature, akin to the unlikely correlation between political preferences and stock market performance. Additionally, in Kurt Vonnegut's "Cat's Cradle," readers are confronted with the absurdity of human behavior and the unforeseen consequences of our actions, mirroring the unanticipated relationship between Republican votes for Senators in Georgia and the stock price of Prologis (PLD).
In the realm of cinema, the movie "Moneyball" provides an engaging portrayal of the unorthodox methods of the Oakland Athletics baseball team in assembling a competitive roster. Similarly, our study aims to challenge conventional thinking by exploring the unconventional relationship between political voting patterns and stock prices, adding a twist to the traditional approach of financial analysis.
In "Bridget Jones's Diary," the protagonist navigates the complexities of modern life and relationships, akin to the intricate dance between political events and financial markets. While the connection between Bridget's romantic escapades and the stock price of Prologis (PLD) may seem far-fetched, our research aims to uncover the underlying mechanisms driving this unlikely correlation.
Thus, our literature review offers a comprehensive exploration of relevant non-fiction and fictional works that parallel the unexpected correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD), engaging with themes of unpredictability, unanticipated connections, and the humorous absurdity of human behavior.

[[RESULTS]]
The analysis of the data revealed a striking correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. The correlation coefficient of 0.9686064 indicated a near-perfect positive relationship between these seemingly disparate variables. It seems that political leanings may have inadvertently become entangled with stock market performance, creating a connection that has left even the most seasoned researchers raising an eyebrow.
One might jest that the connection between the two variables is as unexpected as finding a "republican" in a blue state, but the data speaks for itself. The remarkably high r-squared value of 0.9381984 further emphasizes the robustness of this correlation, suggesting that nearly 94% of the variation in Prologis' stock price can be explained by the variation in Republican votes for Senators in Georgia. This finding is as clear as a bell – or in this case, a stock ticker.
With a p-value of less than 0.01, the results provide strong evidence to reject the null hypothesis, indicating that this correlation is unlikely to have occurred by mere chance. One might quip that the odds of this correlation being a fluke are as slim as a needle in a haystack – or, given the stock market context, as slim as finding an undervalued tech stock in today's market.
Fig. 1 presents a scatterplot illustrating the strong positive correlation between Republican votes for Senators in Georgia and Prologis' stock price (PLD). The data points form a nearly perfect linear relationship, reinforcing the substantial association revealed by the statistical analysis. It is as though the two variables are engaged in a synchronized dance, moving in tandem over the years, much like a well-coordinated financial pas de deux.
In conclusion, the findings of this study highlight an intriguing and unexpected relationship between political events and financial market dynamics. The remarkable correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) not only raises eyebrows, but also invites researchers to delve deeper into the complex interplay between politics and stock market performance. It appears that in the world of finance, even political preferences may have a surprising influence, leaving us to ponder: could it be that the "stock" market has a political leaning after all?

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of the present study provide compelling evidence to support the established link between Republican votes for Senators in Georgia and the stock price of Prologis (PLD). The near-perfect positive correlation, with a correlation coefficient of 0.9686064 and a p-value of less than 0.01, aligns closely with the prior research that has explored the unexpected intersections of political events and financial market dynamics. This significant relationship underscores the notion that political preferences may inadvertently influence stock market performance, challenging traditional beliefs and prompting a skeptical eyebrow raise from even the most seasoned analysts.

Our findings not only confirm but also amplify the eyebrow-raising correlations highlighted in previous works, such as the eyebrow-raising observations made by Smith et al. and Doe and Jones. It seems that the interplay between seemingly unrelated factors, as discussed in "Freakonomics" by Levitt and Dubner, is indeed at play in the context of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). Furthermore, the comically absurd view of the universe presented in "The Hitchhiker's Guide to the Galaxy" appears to have real-world implications, as the unlikely correlation between political preferences and stock market performance elicits a chuckle while also demanding serious consideration.

The robustness of the correlation, as indicated by the high r-squared value of 0.9381984, reinforces the findings of our study and bolsters the case for a genuine connection between political voting patterns and stock prices. This further supports the notion put forth by Taleb in "Fooled by Randomness" – the impact of randomness and unforeseen events on financial markets may, in fact, be manifesting in the eyebrow-raising relationship uncovered in our research.

The unexpected correlation revealed in our study is as surprising as finding a "republican" in a blue state but is backed by rigorous statistical analysis and reinforces the important role of behavioral economics in understanding investment decisions. It seems that in the intricacies of financial markets, even political leanings may sway the course of investments, much like a well-timed dad joke bringing levity to a serious discussion.

In conclusion, the findings of this study pose thought-provoking questions about the intricate dance between politics and finance and invite further research to delve into the underlying mechanisms driving this peculiar relationship. As we navigate this academic journey, we are reminded that the world of finance is not immune to the influence of political events, leaving us to ponder: could it be that the stock market has a certain political proclivity after all?


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Republican votes for Senators in Georgia and Prologis' stock price (PLD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD)"

[[ABSTRACT]]
This study examines the intriguing correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv), our research team sought to shed light on this unlikely relationship. The correlation coefficient of 0.9686064 and p < 0.01 reflected a remarkably strong association, causing even the staunchest skeptics to raise an eyebrow.

Astonishingly, our findings indicate a significant positive correlation between the number of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). This eyebrow-raising relationship prompts one to ponder: are political preferences inadvertently influencing financial decision-making? One might even quip that politics has the potential to "stock" it to the markets, drawing both chuckles and contemplative nods.

Further exploration of this relationship could offer valuable insights into the behavioral economics of investment decisions in relation to political climates. This study aims to stimulate discussions and perhaps even provoke a wry smile or two, encouraging researchers to take a lighthearted yet critical perspective on the quirky interplay between politics and finance.

[[INTRDUCTION]]
The intersection of politics and finance has long been a source of fascination for scholars and pundits alike. The unexpected interplay between political events and financial markets often gives rise to eyebrow-raising correlations that leave analysts scratching their heads. In the case of the 2020 and 2021 Senate elections in Georgia, it appears that the stock price of Prologis (PLD) may have found itself in the midst of this peculiar dance between political outcomes and market reactions.
A wise man once said, "I told my wife she should embrace her mistakes. She gave me a hug." In a similar vein, our research aims to embrace the unlikely correlation between Republican votes for Senators in Georgia and the stock performance of Prologis (PLD). While this connection may initially seem as improbable as finding a needle in a haystack, our findings suggest that there might be more to this relationship than meets the eye.
Examining the correlation between political voting patterns and stock prices may seem as unexpected as discovering a "left-wing" bird or a "right-wing" bat. However, as the data will reveal, the association between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) is far from a flight of fancy.
It is with an intent as clear as a blue sky that we delve into this peculiar relationship, aiming to uncover the underlying mechanisms that may drive such an improbable correlation. As dry as a well-done steak, our approach combines rigorous statistical analysis with a hint of humor to shed light on this curious convergence of political and financial spheres.

[[RESULTS]]
The analysis of the data revealed a striking correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. The correlation coefficient of 0.9686064 indicated a near-perfect positive relationship between these seemingly disparate variables. It seems that political leanings may have inadvertently become entangled with stock market performance, creating a connection that has left even the most seasoned researchers raising an eyebrow.
One might jest that the connection between the two variables is as unexpected as finding a "republican" in a blue state, but the data speaks for itself. The remarkably high r-squared value of 0.9381984 further emphasizes the robustness of this correlation, suggesting that nearly 94% of the variation in Prologis' stock price can be explained by the variation in Republican votes for Senators in Georgia. This finding is as clear as a bell – or in this case, a stock ticker.
With a p-value of less than 0.01, the results provide strong evidence to reject the null hypothesis, indicating that this correlation is unlikely to have occurred by mere chance. One might quip that the odds of this correlation being a fluke are as slim as a needle in a haystack – or, given the stock market context, as slim as finding an undervalued tech stock in today's market.
Fig. 1 presents a scatterplot illustrating the strong positive correlation between Republican votes for Senators in Georgia and Prologis' stock price (PLD). The data points form a nearly perfect linear relationship, reinforcing the substantial association revealed by the statistical analysis. It is as though the two variables are engaged in a synchronized dance, moving in tandem over the years, much like a well-coordinated financial pas de deux.
In conclusion, the findings of this study highlight an intriguing and unexpected relationship between political events and financial market dynamics. The remarkable correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) not only raises eyebrows, but also invites researchers to delve deeper into the complex interplay between politics and stock market performance. It appears that in the world of finance, even political preferences may have a surprising influence, leaving us to ponder: could it be that the "stock" market has a political leaning after all?

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In summary, our investigation into the curious correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) has yielded captivating findings. The remarkably strong positive association between these variables, akin to finding a "republican" in a blue state, has left even the most steadfast researchers raising an eyebrow. This unexpected relationship appears to suggest that political inclinations may surreptitiously intermingle with financial market dynamics, adding an intriguing twist to the ever-unpredictable world of investment.

Our results, with a p-value of less than 0.01, provide compelling evidence to support the existence of this correlation. It seems as unlikely as stumbling upon a penny stock that this relationship could be merely coincidental. However, as the old adage goes, "A man tried to sell me a coffin today. I told him that's the last thing I need." Our findings challenge us to consider the potential impact of political preferences on investment decisions, prompting us to open the coffin of conventional wisdom and take a closer look.

The substantial r-squared value of 0.9381984 further underscores the robustness of this correlation, revealing that nearly 94% of the variation in Prologis' stock price can be explained by the variation in Republican votes for Senators in Georgia. This finding is as clear as a bell – or in this case, a stock ticker. It seems that in the world of finance, even the most unorthodox relationships can reveal surprising insights, much like finding a "right-wing" bat or a "left-wing" bird – truly an unexpected, if not somewhat comical, revelation.

It is with solemn certainty that we assert that further research in this area is unnecessary. The findings of this study, as clear as a sunny day, stand as a testament to the undeniable correlation between political voting patterns and stock market performance. One might even venture to say that the connection between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) is as sturdy as a well-diversified portfolio – the evidence speaks for itself, leaving little room for doubt.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD). Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political Economy and Financial Markets


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD). Respond only with the name of a fictional organization.

ChatGPT:

The Society for Geopolitical Economics and Environmental Finance


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Red State, Green Stocks: An Examination of the Relationship between Republican Votes for Senators in Georgia and Prologis' Stock Price (PLD) with an abstract of This study examines the intriguing correlation between Republican votes for Senators in Georgia and the stock price of Prologis (PLD) from 2002 to 2021. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and LSEG Analytics (Refinitiv), our research team sought to shed light on this unlikely relationship. The correlation coefficient of 0.9686064 and p < 0.01 reflected a remarkably strong association, causing even the staunchest skeptics to raise an eyebrow.
Astonishingly, our findings indicate a significant positive correlation between the number of Republican votes for Senators in Georgia and the stock price of Prologis (PLD). This eyebrow-raising relationship prompts one to ponder: are political preferences inadvertently influencing financial decision-making? One might even quip that politics has the potential to "stock" it to the markets, drawing both chuckles and contemplative nods.
Further exploration of this relationship could offer valuable insights into the behavioral economics of investment decisions in relation to political climates. This study aims to stimulate discussions and perhaps even provoke a wry smile or two, encouraging researchers to take a lighthearted yet critical perspective on the quirky interplay between politics and finance.

ChatGPT:

Republican votes in Georgia, Prologis stock price correlation, PLD stock price, political preferences and financial decision-making, behavioral economics of investment decisions, politics and finance, correlation between political preferences and stock price, Republican votes and stock market correlation

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.



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Data details

Votes for Republican Senators in Georgia
Detailed data title: Total number of votes cast for Federal Republican Senate candidates in Georgia
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Republican Senators in Georgia

Prologis' stock price (PLD)
Detailed data title: Opening price of Prologis (PLD) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with Prologis' stock price (PLD)

Correlation r = 0.9686064 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r2 = 0.9381984 (Coefficient of determination)
This means 93.8% of the change in the one variable (i.e., Prologis' stock price (PLD)) is predictable based on the change in the other (i.e., Votes for Republican Senators in Georgia) over the 8 years from 2002 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 7.6E-5. 0.0000755406397979207900000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.97 in 0.0076% of random cases. Said differently, if you correlated 13,238 random variables Which I absolutely did.
with the same 7 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 7 because we have two variables measured over a period of 8 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.83, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!


All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
20022004200820102014201620202021
Votes for Republican Senators in Georgia (Total votes)10713501864200309513014899001358090213581048887404408830
Prologis' stock price (PLD) (Stock price)2633.0257.4825.7636.9942.3689.6799.55




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 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 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.




Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."


# 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([1071350,1864200,3095130,1489900,1358090,2135810,4888740,4408830,])
array_2 = np.array([26,33.02,57.48,25.76,36.99,42.36,89.67,99.55,])
array_1_name = "Votes for Republican Senators in Georgia"
array_2_name = "Prologis' stock price (PLD)"

# 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)



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Correlation ID: 5325 · Black Variable ID: 26224 · Red Variable ID: 1620
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