Download png, svg
AI explanation
The pesticide handlers were really branching out and finding innovative ways to weed out the competition, leading to a sprout in productivity. As they continued to cultivate their skills, it caused a ripple effect in the market, ultimately leading to a stock price that was just plane stunning.
Model: dalle-3
Prompt: Generate an image where a group of farmers in Oregon is represented by colorful graphic figures, shown increasing in number. These figures are depicted as accidentally sprinkling colorful pesticides on a stock market graph, causing it to nosedive sharply. In the background, a visual representation of POSCO Holdings' stock price (PKX) is seen plummeting. The scene should be photorealistic and vibrant, with attention to detailing the actions of the handlers and the impact on the stock market graph. 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: The number of pesticide handlers in Oregon and POSCO Holdings' stock price (PKX). 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: Charcoal Photorealism Oragami Photorealism Glitch art
ChatGPT: Photorealism
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 pesticide handlers in Oregon and POSCO Holdings' stock price (PKX), in the following situation: The increase in pesticide handlers in Oregon caused POSCO Holdings' stock price to plummet. The handlers were unintentionally "bugging" the shareholders, leading to a "pesty" drop in stock value. It seems the market just couldn't "bee-lieve" it!. Keep the description simple.
ChatGPT: In a colorful graphic, the number of pesticide handlers in Oregon is shown increasing with a chart going up, while next to it, an arrow points sharply downward, indicating the drop in POSCO Holdings' stock price (PKX). The handlers appear to be accidentally sprinkling pesticides on a stock market graph, causing the graph to nosedive.
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: [ Photorealism ] and depicting this scene: In a colorful graphic, the number of pesticide handlers in Oregon is shown increasing with a chart going up, while next to it, an arrow points sharply downward, indicating the drop in POSCO Holdings' stock price (PKX). The handlers appear to be accidentally sprinkling pesticides on a stock market graph, causing the graph to nosedive. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image where a group of farmers in Oregon is represented by colorful graphic figures, shown increasing in number. These figures are depicted as accidentally sprinkling colorful pesticides on a stock market graph, causing it to nosedive sharply. In the background, a visual representation of POSCO Holdings' stock price (PKX) is seen plummeting. The scene should be photorealistic and vibrant, with attention to detailing the actions of the handlers and the impact on the stock market graph.
*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.
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 The number of pesticide handlers in Oregon caused POSCO Holdings' stock price (PKX) to increase. Include one good pun.
AI academic paper
 |
The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX) The Journal of Eclectic Agricultural Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 The number of pesticide handlers in Oregon and POSCO Holdings' stock price (PKX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title seem clever.
Your research team used data from Bureau of Larbor Statistics and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.8364651 and p < 0.01 for 2003 to 2022.
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]]
The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX)
[[ABSTRACT]]
This study delves into the peculiar relationship between the number of pesticide handlers in the Oregon region and the stock price of POSCO Holdings (PKX) from the year 2003 to 2022. Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), we computed a strikingly high correlation coefficient of 0.8364651 with a significance level of p < 0.01. Our analysis uncovers an unexpected, and perhaps inexplicable, association between the two seemingly unrelated variables. In this paper, we scrutinize this bewildering link and explore potential explanations for such a curious connection. Our findings not only raise intriguing questions but also highlight the unpredictable nature of financial markets and the potential influence of unexpected factors on stock prices.
Our research serves as a reminder that in the world of economics and finance, the unexpected can often play a substantial role, as evidenced by the unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings. It also offers a lighthearted but thought-provoking insight into the delightful absurdities that can sometimes emerge from the annals of financial data analysis.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 The number of pesticide handlers in Oregon and POSCO Holdings' stock price (PKX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX)
[[ABSTRACT]]
This study delves into the peculiar relationship between the number of pesticide handlers in the Oregon region and the stock price of POSCO Holdings (PKX) from the year 2003 to 2022. Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), we computed a strikingly high correlation coefficient of 0.8364651 with a significance level of p < 0.01. Our analysis uncovers an unexpected, and perhaps inexplicable, association between the two seemingly unrelated variables. In this paper, we scrutinize this bewildering link and explore potential explanations for such a curious connection. Our findings not only raise intriguing questions but also highlight the unpredictable nature of financial markets and the potential influence of unexpected factors on stock prices.
Our research serves as a reminder that in the world of economics and finance, the unexpected can often play a substantial role, as evidenced by the unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings. It also offers a lighthearted but thought-provoking insight into the delightful absurdities that can sometimes emerge from the annals of financial data analysis.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
The intersection of finance and agriculture is often a realm of staid predictability – a world where spreadsheets and stock tickers reign supreme, and where the whims of Mother Nature and the musings of pesticides seem diametrically opposed to the ebbs and flows of stock prices. However, in the enigmatic dance of economic influences, we sometimes stumble across the unexpected, the bizarre, and the downright perplexing.
Enter the curious case of the pesticide handlers of Oregon and the stock price of POSCO Holdings (PKX). At first blush, one might find oneself scratching one's head – or perhaps even concocting a rather droll punchline – at the notion of these two ostensibly distant entities sharing a common thread. However, as we are wont to marinate in the intriguing realm of financial data analysis, we stumble upon a correlation of such unexpected robustness that it forces us to sit up straight in our chairs and take notice.
The aim of this paper is not only to dissect this bewildering correlation but also to delve into the quirky underbelly of financial markets. It stands as a reminder that in the seemingly rational world of economics, the whims of statistical analysis can introduce a certain whimsy – a reminder that while numbers may often appear to march in lockstep with the humdrum predictability of a metronome, they can just as easily perform a merry jig that leaves us pondering the very nature of causality.
So, buckle in, dear reader, as we embark on this jocular journey through the curious conundrums of financial markets, frolicking among the delights and absurdities that lurk within the annals of economic data analysis. Let us not only scrutinize this perplexing pairing of pesticide handlers and stock prices but also revel in the joy of chance encounters, statistical oddities, and the unexpected humor that often lurks within the seemingly staid pages of academic research.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 The number of pesticide handlers in Oregon and POSCO Holdings' stock price (PKX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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. Perhaps you also got inspiration from some board games that are vaugely related.
Here is the title and abstract of the paper:
[[TITLE]]
The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX)
[[ABSTRACT]]
This study delves into the peculiar relationship between the number of pesticide handlers in the Oregon region and the stock price of POSCO Holdings (PKX) from the year 2003 to 2022. Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), we computed a strikingly high correlation coefficient of 0.8364651 with a significance level of p < 0.01. Our analysis uncovers an unexpected, and perhaps inexplicable, association between the two seemingly unrelated variables. In this paper, we scrutinize this bewildering link and explore potential explanations for such a curious connection. Our findings not only raise intriguing questions but also highlight the unpredictable nature of financial markets and the potential influence of unexpected factors on stock prices.
Our research serves as a reminder that in the world of economics and finance, the unexpected can often play a substantial role, as evidenced by the unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings. It also offers a lighthearted but thought-provoking insight into the delightful absurdities that can sometimes emerge from the annals of financial data analysis.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The intersection of finance and agriculture is often a realm of staid predictability – a world where spreadsheets and stock tickers reign supreme, and where the whims of Mother Nature and the musings of pesticides seem diametrically opposed to the ebbs and flows of stock prices. However, in the enigmatic dance of economic influences, we sometimes stumble across the unexpected, the bizarre, and the downright perplexing.
Enter the curious case of the pesticide handlers of Oregon and the stock price of POSCO Holdings (PKX). At first blush, one might find oneself scratching one's head – or perhaps even concocting a rather droll punchline – at the notion of these two ostensibly distant entities sharing a common thread. However, as we are wont to marinate in the intriguing realm of financial data analysis, we stumble upon a correlation of such unexpected robustness that it forces us to sit up straight in our chairs and take notice.
The aim of this paper is not only to dissect this bewildering correlation but also to delve into the quirky underbelly of financial markets. It stands as a reminder that in the seemingly rational world of economics, the whims of statistical analysis can introduce a certain whimsy – a reminder that while numbers may often appear to march in lockstep with the humdrum predictability of a metronome, they can just as easily perform a merry jig that leaves us pondering the very nature of causality.
So, buckle in, dear reader, as we embark on this jocular journey through the curious conundrums of financial markets, frolicking among the delights and absurdities that lurk within the annals of economic data analysis. Let us not only scrutinize this perplexing pairing of pesticide handlers and stock prices but also revel in the joy of chance encounters, statistical oddities, and the unexpected humor that often lurks within the seemingly staid pages of academic research.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The surprisingly delightful dance between seemingly unrelated variables, such as the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX), has evoked a colorful array of scholarly contemplation and fanciful conjecture. Among the hallowed studies of financial economics, Smith and Doe (2015) delved into the whimsical nature of market influences, albeit without delving into the potential influence of pesticide-laden whims. Meanwhile, Jones (2018) serenaded readers with tales of statistical anomalies, proving that numbers can sometimes waltz to their own peculiar beat, much like pesticide handlers performing an intricate tango with stock prices.
As we pirouette through the academic landscape, it is also worth noting the contributions of esteemed authors in related fields. In "Pesticide Tales and Stock Market Woes" by Lorem Ipsum (2012), the author regales readers with fanciful anecdotes and market escapades, all while hinting at the clandestine influence of agricultural practices on financial dynamics. Similarly, "The Enigmatic Economics of Pesticide Handlers" by Ipsum Ipsum (2017) offers a whimsical foray into the surrealistic interplay of seemingly disparate forces in the market, although it stops short of fully uncovering the tantalizing connection to stock prices that our study highlights.
Of course, as we saunter further into the realm of literary musings, one cannot dismiss the contributions of fiction as a source of inspiration for scholarly ponderings. From the mysterious allure of financial skullduggery in Michael Crichton's "Rising Stock, Hidden Pesticides" to the allegorical whimsy of Gabriel Garcia Marquez's "One Hundred Years of Stock Price Volatility," the world of fiction often mirrors the capricious nature of the financial markets, albeit without the benefit of our auspicious investigation into the interplay of pesticide handlers and stock prices.
In the spirit of inquisitive merriment, one cannot overlook the enthralling echoes of board games that vaguely allude to the themes at hand. From the exuberant risk-taking in Monopoly to the whimsical unpredictability of Snakes and Ladders, one cannot help but wonder whether the financial machinations of POSCO Holdings (PKX) might contain elements of board game-like caprice, akin to the amusing twists and turns that often beset players in their quest for victory.
As we traverse this whimsical expanse of literature and imagination, it becomes evident that the unexpected association between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX) offers an entrancing window into the playful unpredictability that pervades the world of financial analysis. Our foray into this surreal correlation serves as a testament to the delightful absurdities that sometimes emerge from the annals of economic data, reminding us that even in the hallowed halls of academia, a touch of whimsy and mirth can infuse the dusty tomes of scholarly inquiry.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 The number of pesticide handlers in Oregon and POSCO Holdings' stock price (PKX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and LSEG Analytics (Refinitiv) . You used data from 2003 to 2022
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]]
The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX)
[[ABSTRACT]]
This study delves into the peculiar relationship between the number of pesticide handlers in the Oregon region and the stock price of POSCO Holdings (PKX) from the year 2003 to 2022. Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), we computed a strikingly high correlation coefficient of 0.8364651 with a significance level of p < 0.01. Our analysis uncovers an unexpected, and perhaps inexplicable, association between the two seemingly unrelated variables. In this paper, we scrutinize this bewildering link and explore potential explanations for such a curious connection. Our findings not only raise intriguing questions but also highlight the unpredictable nature of financial markets and the potential influence of unexpected factors on stock prices.
Our research serves as a reminder that in the world of economics and finance, the unexpected can often play a substantial role, as evidenced by the unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings. It also offers a lighthearted but thought-provoking insight into the delightful absurdities that can sometimes emerge from the annals of financial data analysis.
[[INTRODUCTION]]
INTRODUCTION
The intersection of finance and agriculture is often a realm of staid predictability – a world where spreadsheets and stock tickers reign supreme, and where the whims of Mother Nature and the musings of pesticides seem diametrically opposed to the ebbs and flows of stock prices. However, in the enigmatic dance of economic influences, we sometimes stumble across the unexpected, the bizarre, and the downright perplexing.
Enter the curious case of the pesticide handlers of Oregon and the stock price of POSCO Holdings (PKX). At first blush, one might find oneself scratching one's head – or perhaps even concocting a rather droll punchline – at the notion of these two ostensibly distant entities sharing a common thread. However, as we are wont to marinate in the intriguing realm of financial data analysis, we stumble upon a correlation of such unexpected robustness that it forces us to sit up straight in our chairs and take notice.
The aim of this paper is not only to dissect this bewildering correlation but also to delve into the quirky underbelly of financial markets. It stands as a reminder that in the seemingly rational world of economics, the whims of statistical analysis can introduce a certain whimsy – a reminder that while numbers may often appear to march in lockstep with the humdrum predictability of a metronome, they can just as easily perform a merry jig that leaves us pondering the very nature of causality.
So, buckle in, dear reader, as we embark on this jocular journey through the curious conundrums of financial markets, frolicking among the delights and absurdities that lurk within the annals of economic data analysis. Let us not only scrutinize this perplexing pairing of pesticide handlers and stock prices but also revel in the joy of chance encounters, statistical oddities, and the unexpected humor that often lurks within the seemingly staid pages of academic research.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
METHODOLOGY
To uncover the mysterious and bizarre connection between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX), we undertook a methodical and somewhat whimsical approach that danced through the realms of data collection, statistical analysis, and a touch of good-humored exploration. Our research team gathered data from a variety of sources, but with a special emphasis on the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) – after all, where better to seek out the unexpected than in the tangled web of economic data and stock market machinations.
Our journey through this offbeat terrain began with the meticulous culling of data from the years 2003 to 2022. We sifted through financial reports, labor statistics, and a myriad of other datasets, employing a set of rather peculiar filters and algorithms concocted from a delightful mishmash of statistical techniques and a hint of whimsy. The goal was to tease out the peculiar relationship between the number of pesticide handlers in the Oregon region and the enigmatic fluctuations of POSCO Holdings' stock price.
Once we had assembled this veritable hodgepodge of data, we subjected it to a series of rigorous statistical analyses. We unleashed an army of statistical tools, from the stalwart Pearson correlation coefficient to the frolicsome Spearman's rank correlation, letting them frolic through the numbers in pursuit of any inkling of a connection. These analyses were conducted with a solemn yet slightly mischievous demeanor, for we understood the gravity of our quest but also reveled in the potential for unexpected revelations.
Our results were as surprising and confounding as a jest delivered with impeccable timing. After much frolicking in the numerical dance, we uncovered a striking correlation coefficient of 0.8364651 with a significance level of p < 0.01 – a number that stood as a testament to the capricious nature of financial correlations and the propensity for the bizarre to take root among the spreadsheets and stock tickers.
Now, with the flicker of correlation aglow before us, we venture forth into the realm of potential explanations and the curious musings of causation and inference. So, with lighthearted but earnest intent, we present our findings and invite fellow wanderers of economic and financial oddities to partake in this jocular journey through the curious conundrums of our offbeat discovery.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 The number of pesticide handlers in Oregon and POSCO Holdings' stock price (PKX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and LSEG Analytics (Refinitiv) .
For the time period 2003 to 2022, you found a correlation 0.8364651, r-squared of 0.6996739, 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]]
The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX)
[[ABSTRACT]]
This study delves into the peculiar relationship between the number of pesticide handlers in the Oregon region and the stock price of POSCO Holdings (PKX) from the year 2003 to 2022. Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), we computed a strikingly high correlation coefficient of 0.8364651 with a significance level of p < 0.01. Our analysis uncovers an unexpected, and perhaps inexplicable, association between the two seemingly unrelated variables. In this paper, we scrutinize this bewildering link and explore potential explanations for such a curious connection. Our findings not only raise intriguing questions but also highlight the unpredictable nature of financial markets and the potential influence of unexpected factors on stock prices.
Our research serves as a reminder that in the world of economics and finance, the unexpected can often play a substantial role, as evidenced by the unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings. It also offers a lighthearted but thought-provoking insight into the delightful absurdities that can sometimes emerge from the annals of financial data analysis.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The intersection of finance and agriculture is often a realm of staid predictability – a world where spreadsheets and stock tickers reign supreme, and where the whims of Mother Nature and the musings of pesticides seem diametrically opposed to the ebbs and flows of stock prices. However, in the enigmatic dance of economic influences, we sometimes stumble across the unexpected, the bizarre, and the downright perplexing.
Enter the curious case of the pesticide handlers of Oregon and the stock price of POSCO Holdings (PKX). At first blush, one might find oneself scratching one's head – or perhaps even concocting a rather droll punchline – at the notion of these two ostensibly distant entities sharing a common thread. However, as we are wont to marinate in the intriguing realm of financial data analysis, we stumble upon a correlation of such unexpected robustness that it forces us to sit up straight in our chairs and take notice.
The aim of this paper is not only to dissect this bewildering correlation but also to delve into the quirky underbelly of financial markets. It stands as a reminder that in the seemingly rational world of economics, the whims of statistical analysis can introduce a certain whimsy – a reminder that while numbers may often appear to march in lockstep with the humdrum predictability of a metronome, they can just as easily perform a merry jig that leaves us pondering the very nature of causality.
So, buckle in, dear reader, as we embark on this jocular journey through the curious conundrums of financial markets, frolicking among the delights and absurdities that lurk within the annals of economic data analysis. Let us not only scrutinize this perplexing pairing of pesticide handlers and stock prices but also revel in the joy of chance encounters, statistical oddities, and the unexpected humor that often lurks within the seemingly staid pages of academic research.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our analysis revealed a surprisingly strong correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX) from 2003 to 2022. The correlation coefficient of 0.8364651 indicates a strong positive relationship between these two seemingly disparate variables. Furthermore, the r-squared value of 0.6996739 suggests that approximately 70% of the variation in PKX stock price can be explained by changes in the number of pesticide handlers in Oregon. This perplexing association defies conventional logic and piques the curiosity of even the most seasoned financial analysts.
The statistical significance of this correlation, with a p-value less than 0.01, further accentuates the unexpected nature of this finding. This striking result challenges conventional wisdom and underscores the unpredictable nature of financial markets. We present a visual representation of this significant correlation in Figure 1, where the scatterplot vividly illustrates the robust relationship between these unanticipated variables.
The discovery of such a substantial correlation between pesticide handlers in Oregon and the stock price of POSCO Holdings not only raises eyebrows but also underscores the need for continued exploration into the myriad influences that can impact financial markets. It serves as a whimsical yet thought-provoking reminder that in the realm of finance, surprises may lurk around every corner, waiting to confound and amuse those who dare to peer beyond the surface of traditional economic analyses. These findings add a dash of unpredictability to the usual humdrum of financial data analysis, infusing it with a sprinkle of eccentricity and a pinch of bemusement.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 The number of pesticide handlers in Oregon and POSCO Holdings' stock price (PKX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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]]
The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX)
[[ABSTRACT]]
This study delves into the peculiar relationship between the number of pesticide handlers in the Oregon region and the stock price of POSCO Holdings (PKX) from the year 2003 to 2022. Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), we computed a strikingly high correlation coefficient of 0.8364651 with a significance level of p < 0.01. Our analysis uncovers an unexpected, and perhaps inexplicable, association between the two seemingly unrelated variables. In this paper, we scrutinize this bewildering link and explore potential explanations for such a curious connection. Our findings not only raise intriguing questions but also highlight the unpredictable nature of financial markets and the potential influence of unexpected factors on stock prices.
Our research serves as a reminder that in the world of economics and finance, the unexpected can often play a substantial role, as evidenced by the unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings. It also offers a lighthearted but thought-provoking insight into the delightful absurdities that can sometimes emerge from the annals of financial data analysis.
[[LITERATURE REVIEW]]
The surprisingly delightful dance between seemingly unrelated variables, such as the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX), has evoked a colorful array of scholarly contemplation and fanciful conjecture. Among the hallowed studies of financial economics, Smith and Doe (2015) delved into the whimsical nature of market influences, albeit without delving into the potential influence of pesticide-laden whims. Meanwhile, Jones (2018) serenaded readers with tales of statistical anomalies, proving that numbers can sometimes waltz to their own peculiar beat, much like pesticide handlers performing an intricate tango with stock prices.
As we pirouette through the academic landscape, it is also worth noting the contributions of esteemed authors in related fields. In "Pesticide Tales and Stock Market Woes" by Lorem Ipsum (2012), the author regales readers with fanciful anecdotes and market escapades, all while hinting at the clandestine influence of agricultural practices on financial dynamics. Similarly, "The Enigmatic Economics of Pesticide Handlers" by Ipsum Ipsum (2017) offers a whimsical foray into the surrealistic interplay of seemingly disparate forces in the market, although it stops short of fully uncovering the tantalizing connection to stock prices that our study highlights.
Of course, as we saunter further into the realm of literary musings, one cannot dismiss the contributions of fiction as a source of inspiration for scholarly ponderings. From the mysterious allure of financial skullduggery in Michael Crichton's "Rising Stock, Hidden Pesticides" to the allegorical whimsy of Gabriel Garcia Marquez's "One Hundred Years of Stock Price Volatility," the world of fiction often mirrors the capricious nature of the financial markets, albeit without the benefit of our auspicious investigation into the interplay of pesticide handlers and stock prices.
In the spirit of inquisitive merriment, one cannot overlook the enthralling echoes of board games that vaguely allude to the themes at hand. From the exuberant risk-taking in Monopoly to the whimsical unpredictability of Snakes and Ladders, one cannot help but wonder whether the financial machinations of POSCO Holdings (PKX) might contain elements of board game-like caprice, akin to the amusing twists and turns that often beset players in their quest for victory.
As we traverse this whimsical expanse of literature and imagination, it becomes evident that the unexpected association between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX) offers an entrancing window into the playful unpredictability that pervades the world of financial analysis. Our foray into this surreal correlation serves as a testament to the delightful absurdities that sometimes emerge from the annals of economic data, reminding us that even in the hallowed halls of academia, a touch of whimsy and mirth can infuse the dusty tomes of scholarly inquiry.
[[RESULTS]]
The results of our analysis revealed a surprisingly strong correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX) from 2003 to 2022. The correlation coefficient of 0.8364651 indicates a strong positive relationship between these two seemingly disparate variables. Furthermore, the r-squared value of 0.6996739 suggests that approximately 70% of the variation in PKX stock price can be explained by changes in the number of pesticide handlers in Oregon. This perplexing association defies conventional logic and piques the curiosity of even the most seasoned financial analysts.
The statistical significance of this correlation, with a p-value less than 0.01, further accentuates the unexpected nature of this finding. This striking result challenges conventional wisdom and underscores the unpredictable nature of financial markets. We present a visual representation of this significant correlation in Figure 1, where the scatterplot vividly illustrates the robust relationship between these unanticipated variables.
The discovery of such a substantial correlation between pesticide handlers in Oregon and the stock price of POSCO Holdings not only raises eyebrows but also underscores the need for continued exploration into the myriad influences that can impact financial markets. It serves as a whimsical yet thought-provoking reminder that in the realm of finance, surprises may lurk around every corner, waiting to confound and amuse those who dare to peer beyond the surface of traditional economic analyses. These findings add a dash of unpredictability to the usual humdrum of financial data analysis, infusing it with a sprinkle of eccentricity and a pinch of bemusement.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
In this section, we delve into the enigmatic association between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX) and the implications of our findings on existing literature. Our study, much like a magician revealing unexpected tricks up its sleeve, has brought to light a strikingly high correlation coefficient of 0.8364651 with a p-value less than 0.01, echoing the cavalier spirit of statistical anomalies previously celebrated by Jones (2018) in his whimsical waltz through the realm of market influences.
Our results merrily dance along the lines of prior research, which has paid homage to the capricious influences in financial markets. The robust relationship we observed between the number of pesticide handlers and PKX stock price is akin to an absurdist subplot from a whimsical literary work, akin to the surrealistic interplay of seemingly disparate forces explored by Ipsum Ipsum (2017). Much like the serendipitous twists and turns in a board game, our findings hint at a lighthearted suggestion of unpredictability in financial dynamics, a notion humorously reflected in the spirit of Snakes and Ladders and Monopoly, as whispered by the echoes of whimsy in literature and board games.
Our study significantly enriches the literature by highlighting the palpable influence of unexpected factors on stock prices, reminiscent of the clandestine whispers of agricultural practices on financial dynamics, as suggested by Lorem Ipsum (2012). All in all, our findings add a refreshing touch of unpredictability to the usual humdrum of financial data analysis, infusing it with a sprightly dash of eccentricity and a pinch of bemusement.
Our research serves as a delightful reminder that in the world of economics and finance, the unexpected often plays a substantial role. Therefore, our study not only raises intriguing questions but also provides a lighthearted yet thought-provoking insight into financial markets, a reminder that, much like the mysterious allure of financial skullduggery in Michael Crichton's "Rising Stock, Hidden Pesticides", the financial world may hide whimsical secrets just waiting to be revealed. Thus, our unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX) offers an entrancing window into the playful unpredictability that pervades the world of financial analysis.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 The number of pesticide handlers in Oregon and POSCO Holdings' stock price (PKX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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]]
The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX)
[[ABSTRACT]]
This study delves into the peculiar relationship between the number of pesticide handlers in the Oregon region and the stock price of POSCO Holdings (PKX) from the year 2003 to 2022. Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), we computed a strikingly high correlation coefficient of 0.8364651 with a significance level of p < 0.01. Our analysis uncovers an unexpected, and perhaps inexplicable, association between the two seemingly unrelated variables. In this paper, we scrutinize this bewildering link and explore potential explanations for such a curious connection. Our findings not only raise intriguing questions but also highlight the unpredictable nature of financial markets and the potential influence of unexpected factors on stock prices.
Our research serves as a reminder that in the world of economics and finance, the unexpected can often play a substantial role, as evidenced by the unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings. It also offers a lighthearted but thought-provoking insight into the delightful absurdities that can sometimes emerge from the annals of financial data analysis.
[[INTRDUCTION]]
INTRODUCTION
The intersection of finance and agriculture is often a realm of staid predictability – a world where spreadsheets and stock tickers reign supreme, and where the whims of Mother Nature and the musings of pesticides seem diametrically opposed to the ebbs and flows of stock prices. However, in the enigmatic dance of economic influences, we sometimes stumble across the unexpected, the bizarre, and the downright perplexing.
Enter the curious case of the pesticide handlers of Oregon and the stock price of POSCO Holdings (PKX). At first blush, one might find oneself scratching one's head – or perhaps even concocting a rather droll punchline – at the notion of these two ostensibly distant entities sharing a common thread. However, as we are wont to marinate in the intriguing realm of financial data analysis, we stumble upon a correlation of such unexpected robustness that it forces us to sit up straight in our chairs and take notice.
The aim of this paper is not only to dissect this bewildering correlation but also to delve into the quirky underbelly of financial markets. It stands as a reminder that in the seemingly rational world of economics, the whims of statistical analysis can introduce a certain whimsy – a reminder that while numbers may often appear to march in lockstep with the humdrum predictability of a metronome, they can just as easily perform a merry jig that leaves us pondering the very nature of causality.
So, buckle in, dear reader, as we embark on this jocular journey through the curious conundrums of financial markets, frolicking among the delights and absurdities that lurk within the annals of economic data analysis. Let us not only scrutinize this perplexing pairing of pesticide handlers and stock prices but also revel in the joy of chance encounters, statistical oddities, and the unexpected humor that often lurks within the seemingly staid pages of academic research.
[[RESULTS]]
The results of our analysis revealed a surprisingly strong correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX) from 2003 to 2022. The correlation coefficient of 0.8364651 indicates a strong positive relationship between these two seemingly disparate variables. Furthermore, the r-squared value of 0.6996739 suggests that approximately 70% of the variation in PKX stock price can be explained by changes in the number of pesticide handlers in Oregon. This perplexing association defies conventional logic and piques the curiosity of even the most seasoned financial analysts.
The statistical significance of this correlation, with a p-value less than 0.01, further accentuates the unexpected nature of this finding. This striking result challenges conventional wisdom and underscores the unpredictable nature of financial markets. We present a visual representation of this significant correlation in Figure 1, where the scatterplot vividly illustrates the robust relationship between these unanticipated variables.
The discovery of such a substantial correlation between pesticide handlers in Oregon and the stock price of POSCO Holdings not only raises eyebrows but also underscores the need for continued exploration into the myriad influences that can impact financial markets. It serves as a whimsical yet thought-provoking reminder that in the realm of finance, surprises may lurk around every corner, waiting to confound and amuse those who dare to peer beyond the surface of traditional economic analyses. These findings add a dash of unpredictability to the usual humdrum of financial data analysis, infusing it with a sprinkle of eccentricity and a pinch of bemusement.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has brought to light the remarkably strong correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings (PKX). The unexpected robustness of this association, with a correlation coefficient of 0.8364651 and a significant p-value of less than 0.01, has left even the most seasoned analysts scratching their heads. As we trudge through the plethora of economic data, it appears that financial markets may indeed harbor a realm of unpredictability and absurdity that rivals a Marx Brothers comedy.
The implications of this peculiar correlation beckon us to consider the whimsical nature of financial data analysis. Much like a magician's sleight of hand, it reminds us that beneath the veneer of rationality, there lurks a universe of statistical oddities and possibly the esoteric influence of pesticide handlers on stock prices.
Nevertheless, while this finding may have unearthed a delightful anomaly that piques our collective curiosity, dare we say that further investigation into the enigmatic link between pesticide handlers and stock prices may yield diminishing returns? It seems that this peculiar discovery may stand alone as a whimsical reminder of the startlingly capricious nature of economic influences.
Thus, in the immortal words of Monty Python, it may be time to "always look on the bright side of life" and merrily accept that our exploration of the pesticide handlers of Oregon and the stock price of POSCO Holdings has unearthed a captivating yet perplexing spectacle that stands as a testament to the delightful unpredictability that resides within the seemingly sober confines of financial data analysis. This curious correlation may very well stand as a testament to the waggish caprice that the economic world occasionally treats us to, and we assert that no more research is needed in this delightfully diverting area.
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 The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX). Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Eclectic Agricultural Studies
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 The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX). Respond only with the name of a fictional organization.
ChatGPT:
The Society for Quirky Economic and Environmental Research (SQEER)
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 The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX) with an abstract of This study delves into the peculiar relationship between the number of pesticide handlers in the Oregon region and the stock price of POSCO Holdings (PKX) from the year 2003 to 2022. Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), we computed a strikingly high correlation coefficient of 0.8364651 with a significance level of p < 0.01. Our analysis uncovers an unexpected, and perhaps inexplicable, association between the two seemingly unrelated variables. In this paper, we scrutinize this bewildering link and explore potential explanations for such a curious connection. Our findings not only raise intriguing questions but also highlight the unpredictable nature of financial markets and the potential influence of unexpected factors on stock prices.
Our research serves as a reminder that in the world of economics and finance, the unexpected can often play a substantial role, as evidenced by the unexpected correlation between the number of pesticide handlers in Oregon and the stock price of POSCO Holdings. It also offers a lighthearted but thought-provoking insight into the delightful absurdities that can sometimes emerge from the annals of financial data analysis.
ChatGPT:
"Pesticide handlers, Oregon, stock price, POSCO Holdings, PKX, correlation coefficient, Bureau of Labor Statistics, LSEG Analytics, Refinitiv, financial markets, unexpected factors, economics, finance, stock price influence, financial data analysis, unpredictable nature"
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
The number of pesticide handlers in OregonDetailed data title: BLS estimate of pesticide handlers, sprayers, and applicators, vegetation in Oregon
Source: Bureau of Larbor Statistics
See what else correlates with The number of pesticide handlers in Oregon
POSCO Holdings' stock price (PKX)
Detailed data title: Opening price of POSCO Holdings (PKX) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function
See what else correlates with POSCO Holdings' stock price (PKX)
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 = 0.6996739 (Coefficient of determination)
This means 70% of the change in the one variable (i.e., POSCO Holdings' stock price (PKX)) is predictable based on the change in the other (i.e., The number of pesticide handlers in Oregon) over the 20 years from 2003 through 2022.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.3E-6. 0.0000043177212668388920000000
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 0.84 in 0.00043% of random cases. Said differently, if you correlated 231,604 random variables You don't actually need 231 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 19 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 19 because we have two variables measured over a period of 20 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.
[ 0.63, 0.93 ] 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.
| 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
| The number of pesticide handlers in Oregon (Laborers) | 90 | 260 | 240 | 300 | 360 | 530 | 390 | 420 | 430 | 460 | 460 | 440 | 290 | 170 | 220 | 250 | 270 | 280 | 340 | 240 |
| POSCO Holdings' stock price (PKX) (Stock price) | 24.95 | 34.5 | 44.54 | 49.88 | 80.45 | 149.04 | 75.91 | 133.61 | 109.26 | 84.59 | 85.02 | 76.97 | 64.29 | 34.39 | 53.01 | 81 | 53.03 | 51.27 | 63.39 | 58.75 |
Why this works
- 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.
- 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. - 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.
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([90,260,240,300,360,530,390,420,430,460,460,440,290,170,220,250,270,280,340,240,])
array_2 = np.array([24.95,34.5,44.54,49.88,80.45,149.04,75.91,133.61,109.26,84.59,85.02,76.97,64.29,34.39,53.01,81,53.03,51.27,63.39,58.75,])
array_1_name = "The number of pesticide handlers in Oregon"
array_2_name = "POSCO Holdings' stock price (PKX)"
# 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
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
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Download images for these variables:
- High resolution line chart
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 pesticide handlers in Oregon
- Line chart for only POSCO Holdings' stock price (PKX)
- AI-generated correlation image
- The spurious research paper: The Pesticide Handlers of Oregon: A Bizarre Influence on the Stock Price of POSCO Holdings (PKX)
Big thanks for reviewing!
Correlation ID: 3070 · Black Variable ID: 13417 · Red Variable ID: 1829
