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Spurious correlation #3,775 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Google searches for 'my cat scratched me' and the second variable is Johnson Controls International's stock price (JCI).  The chart goes from 2008 to 2023, and the two variables track closely in value over that time. Small Image
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AI explanation

As more people Googled 'my cat scratched me', the demand for pet first aid supplies soared. This unexpected surge in demand led to a boost in sales of Johnson Controls' temperature and humidity control systems, as pet owners tried to create the purr-fect healing environment for their beloved feline friends. This increase in the company's products' popularity among pet owners ultimately drove up their stock price as investors realized the clawsome new market opportunity. Remember, a rising stock price can sometimes be the cat-alyst for a good pun!

Model: dalle-3
Prompt: An amusing image that you would see on Reddit: A group of people are sitting on their couches, each typing "my cat scratched me" into their Google search bar on their devices. As they receive search results, they exchange bewildered glances. Meanwhile, in the background, a stock ticker shows Johnson Controls International's (JCI) stock price steadily rising, symbolizing the newfound respect for control and authority as people start investing in the company. Enhanced visual depiction: Show a living room with multiple people sitting on couches, facing a central coffee table. Each person is holding a device and typing on their phones or laptops. Their facial expressions reveal confusion or surprise as they look at their screens. In the background, a large TV screen or digital display shows a stock ticker scrolling, prominently displaying the rising stock price of Johnson Controls International. The overall setting should depict a casual, comfortable living space, capturing the humor and irony of the situation. 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: Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI). 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: 3D Pixar Style Futuristic a funny image you would see on reddit Cyber folk inspired by bauhaus
ChatGPT: a funny image you would see on reddit

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 Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI), in the following situation: Because as more people search for "my cat scratched me," they start to realize the true power dynamics in their household - cats are the real CEOs. This newfound respect for feline authority leads people to invest in companies with "control" in their name like Johnson Controls International, boosting their stock price. The cat scratch is just the tip of the claw in this lucrative corporate takeover!. Keep the description simple.
ChatGPT: A group of people are sitting on their couches, each typing "my cat scratched me" into their Google search bar on their devices. As they receive search results, they exchange bewildered glances. Meanwhile, in the background, a stock ticker shows Johnson Controls International's (JCI) stock price steadily rising, symbolizing the newfound respect for control and authority as people start investing in the company.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ a funny image you would see on reddit ] and depicting this scene: A group of people are sitting on their couches, each typing "my cat scratched me" into their Google search bar on their devices. As they receive search results, they exchange bewildered glances. Meanwhile, in the background, a stock ticker shows Johnson Controls International's (JCI) stock price steadily rising, symbolizing the newfound respect for control and authority as people start investing in the company. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An amusing image that you would see on Reddit: A group of people are sitting on their couches, each typing "my cat scratched me" into their Google search bar on their devices. As they receive search results, they exchange bewildered glances. Meanwhile, in the background, a stock ticker shows Johnson Controls International's (JCI) stock price steadily rising, symbolizing the newfound respect for control and authority as people start investing in the company. Enhanced visual depiction: Show a living room with multiple people sitting on couches, facing a central coffee table. Each person is holding a device and typing on their phones or laptops. Their facial expressions reveal confusion or surprise as they look at their screens. In the background, a large TV screen or digital display shows a stock ticker scrolling, prominently displaying the rising stock price of Johnson Controls International. The overall setting should depict a casual, comfortable living space, capturing the humor and irony of the situation.

*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 my cat scratched me (Google searches for 'my cat scratched me') caused Johnson Controls International's stock price (JCI) to increase.

AI academic paper

(Because p < 0.01)
Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price

The Journal of Feline Finance and Behavioral Economics

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 goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Rhyme words in the title.

Your research team used data from Google Trends and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.8773935 and p < 0.01 for 2008 to 2023.

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]]
Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price

[[ABSTRACT]]
This paper presents a comprehensive analysis of the peculiar connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team embarked on exploring this seemingly incongruous correlation. The findings, much like a curious cat, revealed a remarkably high correlation coefficient of 0.8773935 and a statistically significant p-value of less than 0.01 for the period from 2008 to 2023.

Our study showcases the unexpected feline factor in the realm of financial markets, hinting at a potential "claw-some" insight into investor sentiment and consumer behavior. Through this analysis, we strive to strike a balance between the serious pursuit of knowledge and the playful exploration of curious correlations, ensuring that financial research does not always have to be so "paw-sitively" dry.


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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]]
Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price

[[ABSTRACT]]
This paper presents a comprehensive analysis of the peculiar connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team embarked on exploring this seemingly incongruous correlation. The findings, much like a curious cat, revealed a remarkably high correlation coefficient of 0.8773935 and a statistically significant p-value of less than 0.01 for the period from 2008 to 2023.

Our study showcases the unexpected feline factor in the realm of financial markets, hinting at a potential "claw-some" insight into investor sentiment and consumer behavior. Through this analysis, we strive to strike a balance between the serious pursuit of knowledge and the playful exploration of curious correlations, ensuring that financial research does not always have to be so "paw-sitively" dry.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
**[[INTRODUCTION]]**

Investigating the intricate and often enigmatic relationship between seemingly unrelated phenomena has been a cornerstone of empirical research across various disciplines. In the realm of finance, where the pursuit of understanding market dynamics and investor behavior reigns supreme, it is not uncommon to stumble upon unexpected correlations that defy conventional wisdom. Our curiosity piqued by the anomalous nature of such connections, we set out to unravel the mystery behind the conspicuous link between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI).

The subject of our inquiry may at first glance appear to be as perplexing as a feline's inscrutable gaze, yet the empirical evidence offers a compelling narrative worthy of exploration. Leveraging the insightful data provided by Google Trends and LSEG Analytics (Refinitiv), our research endeavors to shed light on this peculiar yet captivating association that has thus far lingered in the periphery of financial analysis.

As we delve into the interplay between Internet search trends and stock price movements, we endeavor to embrace the rigors of statistical analysis and econometric modeling while not forgetting to appreciate the whimsical nature of our investigation. In doing so, we seek to impart a sense of scholarly rigor infused with a touch of feline fancy, marking a foray into the uncharted territory of financial research that beckons us to tread the fine line between the solemnity of academia and the charm of unconventional discoveries.

This scholarly expedition, akin to coaxing a reserved tabby out from under the bed, aims to not only unravel the mysteries lying within the data but also to showcase the unexpected intersections where finance and feline whimsy converge. Embracing the unexpected, and occasionally the absurd, is part and parcel of the intellectual venture we embark upon, allowing us to unapologetically infuse our analysis with a spirit that is both academically diligent and playfully irreverent.

Through this exploration, we aspire to contribute to a broader understanding of the intricate tapestry where financial markets and human behavior intertwine, all the while not losing sight of the humor and fascination that underlie the pursuit of knowledge. As such, we invite our esteemed colleagues to join us in this venture, where we are reminded that the serious pursuit of knowledge can sometimes be paved with a healthy dose of whimsy and wonder. Let us embark on this journey with open minds and a sense of playful curiosity, for who knows what hidden delights we may uncover along the way.


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI). 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. Then cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price

[[ABSTRACT]]
This paper presents a comprehensive analysis of the peculiar connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team embarked on exploring this seemingly incongruous correlation. The findings, much like a curious cat, revealed a remarkably high correlation coefficient of 0.8773935 and a statistically significant p-value of less than 0.01 for the period from 2008 to 2023.

Our study showcases the unexpected feline factor in the realm of financial markets, hinting at a potential "claw-some" insight into investor sentiment and consumer behavior. Through this analysis, we strive to strike a balance between the serious pursuit of knowledge and the playful exploration of curious correlations, ensuring that financial research does not always have to be so "paw-sitively" dry.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Investigating the intricate and often enigmatic relationship between seemingly unrelated phenomena has been a cornerstone of empirical research across various disciplines. In the realm of finance, where the pursuit of understanding market dynamics and investor behavior reigns supreme, it is not uncommon to stumble upon unexpected correlations that defy conventional wisdom. Our curiosity piqued by the anomalous nature of such connections, we set out to unravel the mystery behind the conspicuous link between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI).
The subject of our inquiry may at first glance appear to be as perplexing as a feline's inscrutable gaze, yet the empirical evidence offers a compelling narrative worthy of exploration. Leveraging the insightful data provided by Google Trends and LSEG Analytics (Refinitiv), our research endeavors to shed light on this peculiar yet captivating association that has thus far lingered in the periphery of financial analysis.
As we delve into the interplay between Internet search trends and stock price movements, we endeavor to embrace the rigors of statistical analysis and econometric modeling while not forgetting to appreciate the whimsical nature of our investigation. In doing so, we seek to impart a sense of scholarly rigor infused with a touch of feline fancy, marking a foray into the uncharted territory of financial research that beckons us to tread the fine line between the solemnity of academia and the charm of unconventional discoveries.
This scholarly expedition, akin to coaxing a reserved tabby out from under the bed, aims to not only unravel the mysteries lying within the data but also to showcase the unexpected intersections where finance and feline whimsy converge. Embracing the unexpected, and occasionally the absurd, is part and parcel of the intellectual venture we embark upon, allowing us to unapologetically infuse our analysis with a spirit that is both academically diligent and playfully irreverent.
Through this exploration, we aspire to contribute to a broader understanding of the intricate tapestry where financial markets and human behavior intertwine, all the while not losing sight of the humor and fascination that underlie the pursuit of knowledge. As such, we invite our esteemed colleagues to join us in this venture, where we are reminded that the serious pursuit of knowledge can sometimes be paved with a healthy dose of whimsy and wonder. Let us embark on this journey with open minds and a sense of playful curiosity, for who knows what hidden delights we may uncover along the way.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The peculiar and seemingly inexplicable connection between Google searches for 'My Cat Scratched Me' and Johnson Controls International's stock price has garnered interest from both financial analysts and feline enthusiasts alike. As we traverse the landscape of existing literature, we are reminded of the humorous hodgepodge of scholarly investigations that traverse the intersection of finance and feline behavior. Our literature review begins with a nod to the foundational studies that laid the groundwork for our own curious exploration, before meandering into unexpected territories that may raise the occasional eyebrow or elicit a chuckle from those vested in the pursuit of whimsical wisdom.

Smith et al. (2012) kick-start our academic sojourn with their seminal work on 'Consumer Behavior and Internet Searches,' laying the groundwork for understanding the connection between online queries and consumer sentiment. Doe and Jones (2017) further supplement this foundation with their comprehensive analysis of 'Internet Search Trends and Investor Behavior,' highlighting the potential impact of online activities on financial decision-making.

As we move from the dry annals of academic publications to the more unconventional avenues of insight, we encounter real-world wisdom that imparts an unexpected charm to our investigation. Works such as "The Complete Guide to Cat Care" by Feline Enthusiasts Association (2015) serve as a reminder that amidst the sea of economic theories, there exist purr-haps less conventional sources of inspiration that could shed light on our enigmatic research puzzle.

Delving into the world of fiction, we stumble upon literary works that strike an uncanny resonance with our investigation. Who could forget the timeless classic "The Cat in the Stock Market" by F. Whiskers Fitzgerald? While it may not offer concrete financial insights, the feline-themed satire playfully navigates the tumultuous realm of stock market anomalies, reminding us that sometimes, literary meanderings may offer unexpected parallels to empirical realities.

Pause for reflection as we wade into the shallows of social media wisdom, where anecdotal accounts and quirky observations coalesce into a delightful collage of internet-sourced musings. A tweet from @MarketMoggy proclaims, "Just noticed a correlation between cat-related Google searches and stock market volatility – are we feline the pulse of investor sentiment here?" While such a proclamation may evoke a furrowed brow from the purist academic, it nudges us to consider that amidst the jargon-laden corridors of financial analysis, unexpected correlations await those who dare to embrace the intricacies of the feline world.

As we navigate through this whimsical tapestry of scholarly pursuits and unconventional inspirations, we are reminded that the pursuit of knowledge need not always be as solemn as a cat's gaze or as dry as a financial report. Our fervent endeavor to understand the connection between Google searches for 'My Cat Scratched Me' and Johnson Controls International's stock price beckons us to embrace the unexpected and to approach our analysis with a playful spirit, ensuring that our exploration of this paradoxical correlation remains as engaging as it is enlightening.

We now proceed to unveil our findings, eager to unravel the mysteries that lie within this delightful confluence of finance and feline fancifulness, hoping to leave our readers with paws-itively unexpected insights that transcend the ordinary bounds of financial discourse.


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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 Google Trends and LSEG Analytics (Refinitiv) . You used data from 2008 to 2023

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]]
Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price

[[ABSTRACT]]
This paper presents a comprehensive analysis of the peculiar connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team embarked on exploring this seemingly incongruous correlation. The findings, much like a curious cat, revealed a remarkably high correlation coefficient of 0.8773935 and a statistically significant p-value of less than 0.01 for the period from 2008 to 2023.

Our study showcases the unexpected feline factor in the realm of financial markets, hinting at a potential "claw-some" insight into investor sentiment and consumer behavior. Through this analysis, we strive to strike a balance between the serious pursuit of knowledge and the playful exploration of curious correlations, ensuring that financial research does not always have to be so "paw-sitively" dry.

[[INTRODUCTION]]
Investigating the intricate and often enigmatic relationship between seemingly unrelated phenomena has been a cornerstone of empirical research across various disciplines. In the realm of finance, where the pursuit of understanding market dynamics and investor behavior reigns supreme, it is not uncommon to stumble upon unexpected correlations that defy conventional wisdom. Our curiosity piqued by the anomalous nature of such connections, we set out to unravel the mystery behind the conspicuous link between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI).
The subject of our inquiry may at first glance appear to be as perplexing as a feline's inscrutable gaze, yet the empirical evidence offers a compelling narrative worthy of exploration. Leveraging the insightful data provided by Google Trends and LSEG Analytics (Refinitiv), our research endeavors to shed light on this peculiar yet captivating association that has thus far lingered in the periphery of financial analysis.
As we delve into the interplay between Internet search trends and stock price movements, we endeavor to embrace the rigors of statistical analysis and econometric modeling while not forgetting to appreciate the whimsical nature of our investigation. In doing so, we seek to impart a sense of scholarly rigor infused with a touch of feline fancy, marking a foray into the uncharted territory of financial research that beckons us to tread the fine line between the solemnity of academia and the charm of unconventional discoveries.
This scholarly expedition, akin to coaxing a reserved tabby out from under the bed, aims to not only unravel the mysteries lying within the data but also to showcase the unexpected intersections where finance and feline whimsy converge. Embracing the unexpected, and occasionally the absurd, is part and parcel of the intellectual venture we embark upon, allowing us to unapologetically infuse our analysis with a spirit that is both academically diligent and playfully irreverent.
Through this exploration, we aspire to contribute to a broader understanding of the intricate tapestry where financial markets and human behavior intertwine, all the while not losing sight of the humor and fascination that underlie the pursuit of knowledge. As such, we invite our esteemed colleagues to join us in this venture, where we are reminded that the serious pursuit of knowledge can sometimes be paved with a healthy dose of whimsy and wonder. Let us embark on this journey with open minds and a sense of playful curiosity, for who knows what hidden delights we may uncover along the way.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

In this section, we delineate our approach to elucidating the curious connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Our research methodology employed a blend of quantitative analysis, econometric modeling, and a not-so-secret recipe of whimsy and wonder.

### Data Collection
Our research team scoured the vast expanse of the internet for data pertaining to Google searches for phrases indicative of feline-inflicted dermatological grievances, and ultimately zeroed in on the query 'My Cat Scratched Me'. We obtained the search volume index data from Google Trends, capturing the frequency of this specific query over the period from 2008 to 2023. Not to purr-turb you with details, but our comprehensive data collection also encompassed Johnson Controls International's stock price data, sourced from LSEG Analytics (Refinitiv). This formidable duo of data sources formed the bedrock of our analytical endeavors, illuminating the enigmatic intersection of online search behavior and market dynamics.

### Preprocessing
Prior to delving into the convoluted labyrinth of statistical analysis, it was imperative to groom our data through meticulous preprocessing. This involved time-series cleaning and alignment exercises, akin to untangling a ball of yarn, ensuring that our empirical treasure trove was devoid of any obfuscating discrepancies or inconsistencies. The refined datasets were then harmoniously interwoven, forming a purr-istinely combined dataset that aptly captured the temporal nuances of both search trends and stock price movements.

### Correlation Analysis
To quantify the relationship between Google search volumes for 'My Cat Scratched Me' and JCI's stock price, we deployed the trusty Pearson correlation coefficient, a stalwart measure of linear association. Our findings surfaced a cor-relation coefficient of 0.8773935, reflecting a remarkably robust positive relationship. This correlation, much like a cat's affinity for catnip, elicited a sense of intrigue and astonishment, laying the groundwork for our further explorations.

### Econometric Modeling
Venturing into the realm of econometric modeling, we unleashed the prowess of time-series regression models to encapsulate the nuanced interplay between online search behavior and stock price fluctuations. Employing autoregressive integrated moving average (ARIMA) models, we endeavored to paint a vivid portrait of the dynamic relationship, capturing the inherent complexities and idiosyncrasies that characterize the data. Not to be outdone, we also wielded vector autoregression (VAR) models to unravel the intertwined dynamics between Google search volumes and JCI's stock price returns, ensuring that no stone was left unturned in our quest for scholarly enlightenment.

### Control Variables
A parade of control variables, akin to a procession of feline housemates, was paraded into our models to ensure the robustness and validity of our findings. Market indices, macroeconomic indicators, and whimsically selected feline-themed variables were harnessing the potency of econometric scrutiny, fortifying our analyses and mitigating the potential for spurious inferences.

### Sensitivity Analysis
As a bastion of rigorous research practices, we conducted a sensitivity analysis to scrutinize the robustness of our results. An array of alternate specifications and model configurations were scrutinized, akin to coaxing a reclusive cat out from under the sofa, to ascertain the stability of our findings and dispel any lurking doubts regarding the salience of the observed relationship.

### Ethical Considerations
In our pursuit of elucidating this improbable yet mesmerizing connection, we upheld the principles of academic integrity and ethical conduct, ensuring that our analyses were underpinned by honesty, transparency, and a dash of whimsy. Respecting the privacy and confidentiality of the data sources, we operated in a manner befitting the noble pursuit of knowledge, striking a harmonious balance between scholarly inquiry and the spirit of playful exploration.

Our methodology, much like the capricious antics of a feline companion, integrated scholarly rigor with a touch of mirth, amplifying the salience and allure of our analytical sojourn. By treading the fine line between empirical robustness and scholarly levity, we remain poised to offer an incisive elucidation of the mysterious bond that unites feline-related search trends and stock price dynamics.


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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 Google Trends and LSEG Analytics (Refinitiv) .

For the time period 2008 to 2023, you found a correlation 0.8773935, r-squared of 0.7698193, 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]]
Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price

[[ABSTRACT]]
This paper presents a comprehensive analysis of the peculiar connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team embarked on exploring this seemingly incongruous correlation. The findings, much like a curious cat, revealed a remarkably high correlation coefficient of 0.8773935 and a statistically significant p-value of less than 0.01 for the period from 2008 to 2023.

Our study showcases the unexpected feline factor in the realm of financial markets, hinting at a potential "claw-some" insight into investor sentiment and consumer behavior. Through this analysis, we strive to strike a balance between the serious pursuit of knowledge and the playful exploration of curious correlations, ensuring that financial research does not always have to be so "paw-sitively" dry.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Investigating the intricate and often enigmatic relationship between seemingly unrelated phenomena has been a cornerstone of empirical research across various disciplines. In the realm of finance, where the pursuit of understanding market dynamics and investor behavior reigns supreme, it is not uncommon to stumble upon unexpected correlations that defy conventional wisdom. Our curiosity piqued by the anomalous nature of such connections, we set out to unravel the mystery behind the conspicuous link between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI).
The subject of our inquiry may at first glance appear to be as perplexing as a feline's inscrutable gaze, yet the empirical evidence offers a compelling narrative worthy of exploration. Leveraging the insightful data provided by Google Trends and LSEG Analytics (Refinitiv), our research endeavors to shed light on this peculiar yet captivating association that has thus far lingered in the periphery of financial analysis.
As we delve into the interplay between Internet search trends and stock price movements, we endeavor to embrace the rigors of statistical analysis and econometric modeling while not forgetting to appreciate the whimsical nature of our investigation. In doing so, we seek to impart a sense of scholarly rigor infused with a touch of feline fancy, marking a foray into the uncharted territory of financial research that beckons us to tread the fine line between the solemnity of academia and the charm of unconventional discoveries.
This scholarly expedition, akin to coaxing a reserved tabby out from under the bed, aims to not only unravel the mysteries lying within the data but also to showcase the unexpected intersections where finance and feline whimsy converge. Embracing the unexpected, and occasionally the absurd, is part and parcel of the intellectual venture we embark upon, allowing us to unapologetically infuse our analysis with a spirit that is both academically diligent and playfully irreverent.
Through this exploration, we aspire to contribute to a broader understanding of the intricate tapestry where financial markets and human behavior intertwine, all the while not losing sight of the humor and fascination that underlie the pursuit of knowledge. As such, we invite our esteemed colleagues to join us in this venture, where we are reminded that the serious pursuit of knowledge can sometimes be paved with a healthy dose of whimsy and wonder. Let us embark on this journey with open minds and a sense of playful curiosity, for who knows what hidden delights we may uncover along the way.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The statistical analysis revealed a remarkably high correlation coefficient of 0.8773935 between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI) over the period from 2008 to 2023. The r-squared value of 0.7698193 further underscored the robustness of this relationship, indicating that approximately 77% of the variation in JCI's stock price can be explained by fluctuations in online searches related to feline-induced injuries. Additionally, the p-value of less than 0.01 demonstrated the statistical significance of the observed correlation, affirming the validity of our findings beyond reasonable doubt.

This striking correlation, akin to a cat's agility in catching a laser pointer's elusive dot, offers a compelling insight into the uncharted terrain of market dynamics and human behavior. The figure (Fig. 1) further elucidates this noteworthy connection, visually portraying the strong alignment between the two seemingly disparate variables.

The unexpected convergence of internet search patterns and stock price movements not only highlights the inherent whimsy in financial analysis but also beckons us to acknowledge the delightful interplay between the serious pursuit of knowledge and the serendipitous discoveries that emerge from unorthodox inquiries.

The findings of this study, much like a playful kitten unraveling a ball of yarn, emphasize the importance of embracing unconventional correlations in the pursuit of financial insights. This unexpected linkage not only sheds light on the potential influence of feline encounters on market sentiments but also underscores the imperative of maintaining an open mind when navigating the labyrinthine world of economic investigations.

In essence, our research unravels a feline thread in the fabric of financial analysis, inviting scholars and practitioners alike to appreciate the curious interconnections that shape our understanding of market dynamics. It is in this spirit of scholarly intrigue and lightheartedness that we present our findings, reminding the academic community that in the pursuit of knowledge, one must not underestimate the purr-plexing potential of feline-themed inquiries to unveil unanticipated insights.

Stay tuned for more fur-midable research from our team in the future, as we continue to explore the nexus of finance and feline fascinations with an unyielding commitment to scholarly rigor and a penchant for paws-itively delightful discoveries.


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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]]
Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price

[[ABSTRACT]]
This paper presents a comprehensive analysis of the peculiar connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team embarked on exploring this seemingly incongruous correlation. The findings, much like a curious cat, revealed a remarkably high correlation coefficient of 0.8773935 and a statistically significant p-value of less than 0.01 for the period from 2008 to 2023.

Our study showcases the unexpected feline factor in the realm of financial markets, hinting at a potential "claw-some" insight into investor sentiment and consumer behavior. Through this analysis, we strive to strike a balance between the serious pursuit of knowledge and the playful exploration of curious correlations, ensuring that financial research does not always have to be so "paw-sitively" dry.

[[LITERATURE REVIEW]]
The peculiar and seemingly inexplicable connection between Google searches for 'My Cat Scratched Me' and Johnson Controls International's stock price has garnered interest from both financial analysts and feline enthusiasts alike. As we traverse the landscape of existing literature, we are reminded of the humorous hodgepodge of scholarly investigations that traverse the intersection of finance and feline behavior. Our literature review begins with a nod to the foundational studies that laid the groundwork for our own curious exploration, before meandering into unexpected territories that may raise the occasional eyebrow or elicit a chuckle from those vested in the pursuit of whimsical wisdom.
Smith et al. (2012) kick-start our academic sojourn with their seminal work on 'Consumer Behavior and Internet Searches,' laying the groundwork for understanding the connection between online queries and consumer sentiment. Doe and Jones (2017) further supplement this foundation with their comprehensive analysis of 'Internet Search Trends and Investor Behavior,' highlighting the potential impact of online activities on financial decision-making.
As we move from the dry annals of academic publications to the more unconventional avenues of insight, we encounter real-world wisdom that imparts an unexpected charm to our investigation. Works such as "The Complete Guide to Cat Care" by Feline Enthusiasts Association (2015) serve as a reminder that amidst the sea of economic theories, there exist purr-haps less conventional sources of inspiration that could shed light on our enigmatic research puzzle.
Delving into the world of fiction, we stumble upon literary works that strike an uncanny resonance with our investigation. Who could forget the timeless classic "The Cat in the Stock Market" by F. Whiskers Fitzgerald? While it may not offer concrete financial insights, the feline-themed satire playfully navigates the tumultuous realm of stock market anomalies, reminding us that sometimes, literary meanderings may offer unexpected parallels to empirical realities.
Pause for reflection as we wade into the shallows of social media wisdom, where anecdotal accounts and quirky observations coalesce into a delightful collage of internet-sourced musings. A tweet from @MarketMoggy proclaims, "Just noticed a correlation between cat-related Google searches and stock market volatility – are we feline the pulse of investor sentiment here?" While such a proclamation may evoke a furrowed brow from the purist academic, it nudges us to consider that amidst the jargon-laden corridors of financial analysis, unexpected correlations await those who dare to embrace the intricacies of the feline world.
As we navigate through this whimsical tapestry of scholarly pursuits and unconventional inspirations, we are reminded that the pursuit of knowledge need not always be as solemn as a cat's gaze or as dry as a financial report. Our fervent endeavor to understand the connection between Google searches for 'My Cat Scratched Me' and Johnson Controls International's stock price beckons us to embrace the unexpected and to approach our analysis with a playful spirit, ensuring that our exploration of this paradoxical correlation remains as engaging as it is enlightening.
We now proceed to unveil our findings, eager to unravel the mysteries that lie within this delightful confluence of finance and feline fancifulness, hoping to leave our readers with paws-itively unexpected insights that transcend the ordinary bounds of financial discourse.

[[RESULTS]]
The statistical analysis revealed a remarkably high correlation coefficient of 0.8773935 between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI) over the period from 2008 to 2023. The r-squared value of 0.7698193 further underscored the robustness of this relationship, indicating that approximately 77% of the variation in JCI's stock price can be explained by fluctuations in online searches related to feline-induced injuries. Additionally, the p-value of less than 0.01 demonstrated the statistical significance of the observed correlation, affirming the validity of our findings beyond reasonable doubt.
This striking correlation, akin to a cat's agility in catching a laser pointer's elusive dot, offers a compelling insight into the uncharted terrain of market dynamics and human behavior. The figure (Fig. 1) further elucidates this noteworthy connection, visually portraying the strong alignment between the two seemingly disparate variables.
The unexpected convergence of internet search patterns and stock price movements not only highlights the inherent whimsy in financial analysis but also beckons us to acknowledge the delightful interplay between the serious pursuit of knowledge and the serendipitous discoveries that emerge from unorthodox inquiries.
The findings of this study, much like a playful kitten unraveling a ball of yarn, emphasize the importance of embracing unconventional correlations in the pursuit of financial insights. This unexpected linkage not only sheds light on the potential influence of feline encounters on market sentiments but also underscores the imperative of maintaining an open mind when navigating the labyrinthine world of economic investigations.
In essence, our research unravels a feline thread in the fabric of financial analysis, inviting scholars and practitioners alike to appreciate the curious interconnections that shape our understanding of market dynamics. It is in this spirit of scholarly intrigue and lightheartedness that we present our findings, reminding the academic community that in the pursuit of knowledge, one must not underestimate the purr-plexing potential of feline-themed inquiries to unveil unanticipated insights.
Stay tuned for more fur-midable research from our team in the future, as we continue to explore the nexus of finance and feline fascinations with an unyielding commitment to scholarly rigor and a penchant for paws-itively delightful discoveries.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The findings of this study illuminate a hitherto unexplored avenue in the realm of financial research, serving as a purr-suasive testament to the unexpected interplay between seemingly unrelated variables. The remarkable correlation coefficient of 0.8773935 between Google searches for 'My Cat Scratched Me' and Johnson Controls International's stock price (JCI) underscores the substantial linkage between feline-induced incidents and market dynamics. This stupefying correlation, comparable to a cat's uncanny ability to locate the sunniest spot in the room, aligns with prior research that has perceptively unearthed unorthodox connections in the financial landscape.

Revisiting the unconventional literature that laid the foundation for our pursuit, we are reminded of the charming anecdotes and purr-haps whimsical wisdom that perpetuates the intersection of finance and feline fancy. The insightful works of Smith et al. (2012) and Doe and Jones (2017) "litter"-ally set the stage for our exploration, underscoring the influence of online searches on consumer sentiment and investor behavior, much like a cat astutely deciphering its human companion's whims. Furthermore, the unexpected nudge from the "Feline Enthusiasts Association" and the timeless literary musings of F. Whiskers Fitzgerald injected a feline fervor into our scholarly voyage, underscoring the significance of embracing diverse sources of inspiration in financial investigation.

In essence, our results bolster these prior studies, reinforcing the notion that amidst the labyrinthine corridors of academic pursuits, there exists a "cat-alyst" of whimsical wisdom waiting to be apprehended. This correlation, akin to a cat's inquisitive exploration of a paper bag, proffers a compelling insight into the intricate dance of market sentiments and online behaviors, urging us to embrace the unpredictably delightful in our scholarly pursuits.

As we tread further into this "claw-some" confluence of finance and feline fascinations, our study exemplifies the importance of maintaining an open mind in the pursuit of knowledge. It reaffirms that scholarly landscapes, much like a cat's playful antics, are replete with surprising discoveries, and invites the academic community to approach financial investigations with a spirit of whimsy and wonder. Through this revelatory analysis, we "paws-itively" emphasize the value of feline-themed inquiries in unraveling unanticipated insights and fostering a research culture that embraces the unpredictably delightful in financial analysis.


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Google searches for 'my cat scratched me' and Johnson Controls International's stock price (JCI). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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]]
Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price

[[ABSTRACT]]
This paper presents a comprehensive analysis of the peculiar connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team embarked on exploring this seemingly incongruous correlation. The findings, much like a curious cat, revealed a remarkably high correlation coefficient of 0.8773935 and a statistically significant p-value of less than 0.01 for the period from 2008 to 2023.

Our study showcases the unexpected feline factor in the realm of financial markets, hinting at a potential "claw-some" insight into investor sentiment and consumer behavior. Through this analysis, we strive to strike a balance between the serious pursuit of knowledge and the playful exploration of curious correlations, ensuring that financial research does not always have to be so "paw-sitively" dry.

[[INTRDUCTION]]
Investigating the intricate and often enigmatic relationship between seemingly unrelated phenomena has been a cornerstone of empirical research across various disciplines. In the realm of finance, where the pursuit of understanding market dynamics and investor behavior reigns supreme, it is not uncommon to stumble upon unexpected correlations that defy conventional wisdom. Our curiosity piqued by the anomalous nature of such connections, we set out to unravel the mystery behind the conspicuous link between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI).
The subject of our inquiry may at first glance appear to be as perplexing as a feline's inscrutable gaze, yet the empirical evidence offers a compelling narrative worthy of exploration. Leveraging the insightful data provided by Google Trends and LSEG Analytics (Refinitiv), our research endeavors to shed light on this peculiar yet captivating association that has thus far lingered in the periphery of financial analysis.
As we delve into the interplay between Internet search trends and stock price movements, we endeavor to embrace the rigors of statistical analysis and econometric modeling while not forgetting to appreciate the whimsical nature of our investigation. In doing so, we seek to impart a sense of scholarly rigor infused with a touch of feline fancy, marking a foray into the uncharted territory of financial research that beckons us to tread the fine line between the solemnity of academia and the charm of unconventional discoveries.
This scholarly expedition, akin to coaxing a reserved tabby out from under the bed, aims to not only unravel the mysteries lying within the data but also to showcase the unexpected intersections where finance and feline whimsy converge. Embracing the unexpected, and occasionally the absurd, is part and parcel of the intellectual venture we embark upon, allowing us to unapologetically infuse our analysis with a spirit that is both academically diligent and playfully irreverent.
Through this exploration, we aspire to contribute to a broader understanding of the intricate tapestry where financial markets and human behavior intertwine, all the while not losing sight of the humor and fascination that underlie the pursuit of knowledge. As such, we invite our esteemed colleagues to join us in this venture, where we are reminded that the serious pursuit of knowledge can sometimes be paved with a healthy dose of whimsy and wonder. Let us embark on this journey with open minds and a sense of playful curiosity, for who knows what hidden delights we may uncover along the way.

[[RESULTS]]
The statistical analysis revealed a remarkably high correlation coefficient of 0.8773935 between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI) over the period from 2008 to 2023. The r-squared value of 0.7698193 further underscored the robustness of this relationship, indicating that approximately 77% of the variation in JCI's stock price can be explained by fluctuations in online searches related to feline-induced injuries. Additionally, the p-value of less than 0.01 demonstrated the statistical significance of the observed correlation, affirming the validity of our findings beyond reasonable doubt.
This striking correlation, akin to a cat's agility in catching a laser pointer's elusive dot, offers a compelling insight into the uncharted terrain of market dynamics and human behavior. The figure (Fig. 1) further elucidates this noteworthy connection, visually portraying the strong alignment between the two seemingly disparate variables.
The unexpected convergence of internet search patterns and stock price movements not only highlights the inherent whimsy in financial analysis but also beckons us to acknowledge the delightful interplay between the serious pursuit of knowledge and the serendipitous discoveries that emerge from unorthodox inquiries.
The findings of this study, much like a playful kitten unraveling a ball of yarn, emphasize the importance of embracing unconventional correlations in the pursuit of financial insights. This unexpected linkage not only sheds light on the potential influence of feline encounters on market sentiments but also underscores the imperative of maintaining an open mind when navigating the labyrinthine world of economic investigations.
In essence, our research unravels a feline thread in the fabric of financial analysis, inviting scholars and practitioners alike to appreciate the curious interconnections that shape our understanding of market dynamics. It is in this spirit of scholarly intrigue and lightheartedness that we present our findings, reminding the academic community that in the pursuit of knowledge, one must not underestimate the purr-plexing potential of feline-themed inquiries to unveil unanticipated insights.
Stay tuned for more fur-midable research from our team in the future, as we continue to explore the nexus of finance and feline fascinations with an unyielding commitment to scholarly rigor and a penchant for paws-itively delightful discoveries.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study has illuminated a fascin-purr-ating correlation between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI), leaving us with tails of intrigue wagging and paws for thought. The noteworthy correlation coefficient of 0.8773935 and the statistically significant p-value of less than 0.01 have undoubtedly left an indelible mark on our understanding of financial markets, much like cat hair on a freshly laundered suit.

The robustness of this connection, akin to a cat's relentless pursuit of a laser pointer, underscores the potential influence of unexpected variables on market dynamics. Our findings shed light on the whimsical interplay between feline encounters and investor sentiments, encouraging us to approach financial analysis with open minds and a keen sense of curiosity—after all, curiosity did not just harm the cat, it also enhanced our comprehension of market behavior.

As we close this chapter on our "purr-plexing" investigation, we assert with firm determination that no more research is needed in this area. Instead, we extend a warm invitation to fellow researchers to unleash their inquisitive feline spirits into the realm of financial inquiry, for there may be more to discover beneath the surface, much like hidden treasures in a catnip-stuffed toy.

On that note, let us embrace the unconventional, celebrate the unexpected, and remember that in the labyrinthine world of economic investigations, there is room for both scholarly rigor and playful exploration. After all, who knows what other purr-sonalities of economic phenomena we have yet to unravel?


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 Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Feline Finance and Behavioral Economics


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 Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Feline Behavioral Economics Society


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 Scratch That Stock: The Purr-fect Relationship Between Google Searches for 'My Cat Scratched Me' and Johnson Controls International's Stock Price with an abstract of This paper presents a comprehensive analysis of the peculiar connection between Google searches for 'My Cat Scratched Me' and the stock price of Johnson Controls International (JCI). Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team embarked on exploring this seemingly incongruous correlation. The findings, much like a curious cat, revealed a remarkably high correlation coefficient of 0.8773935 and a statistically significant p-value of less than 0.01 for the period from 2008 to 2023.
Our study showcases the unexpected feline factor in the realm of financial markets, hinting at a potential "claw-some" insight into investor sentiment and consumer behavior. Through this analysis, we strive to strike a balance between the serious pursuit of knowledge and the playful exploration of curious correlations, ensuring that financial research does not always have to be so "paw-sitively" dry.

ChatGPT:

Google Searches, My Cat Scratched Me, Johnson Controls International, JCI, Stock Price, Investor Sentiment, Consumer Behavior, Financial Markets, Google Trends, Correlation Analysis, Statistical Significance, Investor Behavior, Stock Market Analysis, Feline Factors, Market Trends

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



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Data details

Google searches for 'my cat scratched me'
Detailed data title: Relative volume of Google searches for 'my cat scratched me' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'my cat scratched me'

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

See what else correlates with Johnson Controls International's stock price (JCI)

Correlation r = 0.8773935 (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 = 0.7698193 (Coefficient of determination)
This means 77% of the change in the one variable (i.e., Johnson Controls International's stock price (JCI)) is predictable based on the change in the other (i.e., Google searches for 'my cat scratched me') over the 16 years from 2008 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.03E-6. 0.0000080279840026151580000000
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 0.88 in 0.000803% of random cases. Said differently, if you correlated 124,564 random variables You don't actually need 124 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 15 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 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.

[ 0.68, 0.96 ] 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.
2008200920102011201220132014201520162017201820192020202120222023
Google searches for 'my cat scratched me' (Rel. search volume)87.9166719.833318.583329.083330.333335.416743.666737.2545.7547.166748.567.333379.333374.666785.6667
Johnson Controls International's stock price (JCI) (Stock price)18.1210.1216.4819.0921.7427.7538.1141.0129.3141.6338.3229.340.9146.6181.1864.9




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably 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.




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([8,7.91667,19.8333,18.5833,29.0833,30.3333,35.4167,43.6667,37.25,45.75,47.1667,48.5,67.3333,79.3333,74.6667,85.6667,])
array_2 = np.array([18.12,10.12,16.48,19.09,21.74,27.75,38.11,41.01,29.31,41.63,38.32,29.3,40.91,46.61,81.18,64.9,])
array_1_name = "Google searches for 'my cat scratched me'"
array_2_name = "Johnson Controls International's stock price (JCI)"

# 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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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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Correlation ID: 3775 · Black Variable ID: 1423 · Red Variable ID: 1788
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