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Spurious correlation #2,247 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of fire inspectors in Louisiana and the second variable is Google searches for 'report UFO sighting'.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

Fewer fire inspectors means more fires, leading to smoky skies that hide UFOs. Remember, when it comes to UFOs, the truth is out there, but apparently not in Louisiana!

Model: dalle-3
Prompt: Prompt: Generate an image reminiscent of a Discovery magazine cover featuring a small Louisiana town where fire inspectors gather in front of the fire station, discussing their plans for the day. One of the inspectors glances at his phone and notices a sudden spike in Google searches for "report UFO sighting" from people in the area. The inspectors exchange surprised looks, pondering whether they will receive any unusual calls today. The image should showcase the building of the fire station and the group of inspectors, capturing the moment of discovery and intrigue. 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 fire inspectors in Louisiana and Google searches for 'report UFO sighting'. 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: Cute cartoon A TIME magazine cover image An image that looks like it is a scene from A Disney Movie Cyber folk A Discovery magazine cover image
ChatGPT: A Discovery magazine cover image

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 fire inspectors in Louisiana and Google searches for 'report UFO sighting' together. Keep the description simple.
ChatGPT: In a small Louisiana town, a group of fire inspectors gather in front of the fire station, discussing their plans for the day. As they talk, one of them glances at his phone and sees a sudden spike in Google searches for "report UFO sighting" from people in the area. The inspectors look at each other in surprise, wondering if they will receive any unusual calls today.

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 Discovery magazine cover image ] and depicting this scene: In a small Louisiana town, a group of fire inspectors gather in front of the fire station, discussing their plans for the day. As they talk, one of them glances at his phone and sees a sudden spike in Google searches for "report UFO sighting" from people in the area. The inspectors look at each other in surprise, wondering if they will receive any unusual calls today. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image reminiscent of a Discovery magazine cover featuring a small Louisiana town where fire inspectors gather in front of the fire station, discussing their plans for the day. One of the inspectors glances at his phone and notices a sudden spike in Google searches for "report UFO sighting" from people in the area. The inspectors exchange surprised looks, pondering whether they will receive any unusual calls today. The image should showcase the building of the fire station and the group of inspectors, capturing the moment of discovery and intrigue.

*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 a decrease in The number of fire inspectors in Louisiana caused report UFO sighting (Google searches for 'report UFO sighting') to decrease. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)
Sparks in the Skies: A Close Encounter of Labor and UFO Reporting

The Journal of Extraterrestrial Employment Studies

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 silly 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 fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Make lots of jokes, goofy observations, and puns.

Make the title punny if you can come up with clever pun. If not, just make it sound clever.

Your research team used data from Bureau of Larbor Statistics and Google Trends to assess this nagging question. You found a correlation coefficient of 0.8351100 and p < 0.01 for 2004 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]]
Sparks in the Skies: A Close Encounter of Labor and UFO Reporting

[[ABSTRACT]]
This paper investigates the peculiar relationship between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Using data from the Bureau of Labor Statistics and Google Trends, we aimed to shed light on this unusual pairing. Our findings reveal a striking correlation coefficient of 0.8351100 and p < 0.01 for the period from 2004 to 2022. The results not only set off the alarms but also suggest a potential connection between fire safety and extraterrestrial activities. Our research contributes to the growing body of knowledge at the intersection of unconventional correlations and light-hearted inquiries.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Sparks in the Skies: A Close Encounter of Labor and UFO Reporting

[[ABSTRACT]]
This paper investigates the peculiar relationship between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Using data from the Bureau of Labor Statistics and Google Trends, we aimed to shed light on this unusual pairing. Our findings reveal a striking correlation coefficient of 0.8351100 and p < 0.01 for the period from 2004 to 2022. The results not only set off the alarms but also suggest a potential connection between fire safety and extraterrestrial activities. Our research contributes to the growing body of knowledge at the intersection of unconventional correlations and light-hearted inquiries.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
**[[INTRODUCTION]]**

In the vast expanse of academia, where researchers delve into serious matters with unwavering solemnity, we embark on a journey that is, quite literally, out of this world. Prepare yourself, dear reader, for a research endeavor that is as unexpected as a UFO sighting in broad daylight. We are about to probe the enigmatic nexus between the number of fire inspectors in the bayou state of Louisiana and public interest in reporting encounters with unidentified flying objects.

Now, before we proceed, let’s ignite our scientific curiosity and set ablaze our imagination. It is not often that one finds themselves grappling with the yin and yang of fire safety and extraterrestrial affairs. In the realm of science, where precision reigns supreme, there are times when we come across correlations and connections that are as perplexing as a math problem in a foreign language. And that, my esteemed colleagues, is precisely the enthralling puzzle we aim to unravel in this paper.

As we venture forth, it is prudent to address the elephant in the room – or should we say, the UFO in the sky? The premise of this study may have sparked skepticism and raised more eyebrows than a well-arched statistical bell curve. Allow us to assure you that our inquiry is not a flight of fancy, but a meticulously crafted investigation grounded in data, analysis, and a splash of adventurous curiosity.

Our intent is to ignite a fervent dialogue in the scientific community about the unexpected connections that lurk within the depths of statistical datasets. We aspire to infuse a dash of levity into the arena of research, for the pursuit of knowledge need not always be as serious as a heart attack – unless, of course, the topic is cardiology.

Now, with our tongues firmly in our cheeks and our telescopes trained on the statistical firmament, let us embark on this whimsical odyssey through the celestial realms of fire safety and extraterrestrial encounters. Our findings promise to be as illuminating as the search for life on distant planets, albeit with a touch of je ne sais quoi that will have you reaching for the stars, peppered with laughter and a sense of wonder.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Make lots of 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]]
Sparks in the Skies: A Close Encounter of Labor and UFO Reporting

[[ABSTRACT]]
This paper investigates the peculiar relationship between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Using data from the Bureau of Labor Statistics and Google Trends, we aimed to shed light on this unusual pairing. Our findings reveal a striking correlation coefficient of 0.8351100 and p < 0.01 for the period from 2004 to 2022. The results not only set off the alarms but also suggest a potential connection between fire safety and extraterrestrial activities. Our research contributes to the growing body of knowledge at the intersection of unconventional correlations and light-hearted inquiries.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the vast expanse of academia, where researchers delve into serious matters with unwavering solemnity, we embark on a journey that is, quite literally, out of this world. Prepare yourself, dear reader, for a research endeavor that is as unexpected as a UFO sighting in broad daylight. We are about to probe the enigmatic nexus between the number of fire inspectors in the bayou state of Louisiana and public interest in reporting encounters with unidentified flying objects.
Now, before we proceed, let’s ignite our scientific curiosity and set ablaze our imagination. It is not often that one finds themselves grappling with the yin and yang of fire safety and extraterrestrial affairs. In the realm of science, where precision reigns supreme, there are times when we come across correlations and connections that are as perplexing as a math problem in a foreign language. And that, my esteemed colleagues, is precisely the enthralling puzzle we aim to unravel in this paper.
As we venture forth, it is prudent to address the elephant in the room – or should we say, the UFO in the sky? The premise of this study may have sparked skepticism and raised more eyebrows than a well-arched statistical bell curve. Allow us to assure you that our inquiry is not a flight of fancy, but a meticulously crafted investigation grounded in data, analysis, and a splash of adventurous curiosity.
Our intent is to ignite a fervent dialogue in the scientific community about the unexpected connections that lurk within the depths of statistical datasets. We aspire to infuse a dash of levity into the arena of research, for the pursuit of knowledge need not always be as serious as a heart attack – unless, of course, the topic is cardiology.
Now, with our tongues firmly in our cheeks and our telescopes trained on the statistical firmament, let us embark on this whimsical odyssey through the celestial realms of fire safety and extraterrestrial encounters. Our findings promise to be as illuminating as the search for life on distant planets, albeit with a touch of je ne sais quoi that will have you reaching for the stars, peppered with laughter and a sense of wonder.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The investigation into the intersection of fire safety and UFO reporting prompts an exploration of existing literature on both topics. Smith et al. (2010) conducted a comprehensive study on the correlation between fire prevention measures and public alertness to potential aerial anomalies. Their findings underscore the importance of community awareness and vigilance in detecting airborne hazards, be they of terrestrial or extraterrestrial origin.

Doe and Jones (2015) delved into the intricacies of public perception and reporting behaviors when faced with inexplicable sightings in the sky. Their work sheds light on the psychological factors that influence an individual's decision to report a UFO sighting, positing that heightened awareness of safety measures, such as fire inspection protocols, may prompt individuals to be more attuned to their surroundings and hence report unusual phenomena.

Venturing beyond the confines of traditional academic research, one may find tangential insights from non-fictional works such as "The UFO Experience: A Scientific Inquiry" by Hynek (1972) and "Fire Prevention and Safety" by Smith (2018). While the former contemplates the scientific rigor of UFO investigations, the latter provides practical guidance for fire inspectors and emphasizes the need for constant vigilance in the realm of public safety.

However, the literature on this peculiar pairing does not confine itself to scholarly texts. Works of fiction, such as "Close Encounters of the Third Kind" by Spielberg (1977) and "The X-Files: Ground Zero" by Anderson (1995), offer intriguing narratives on the intersection of unexplained phenomena and the efforts of law enforcement agencies, including fire inspectors, to grapple with the unknown.

Drawing inspiration from board games, the cryptic quests found in "Betrayal at Baldur's Gate" and the exploration of the unknown in "Eldritch Horror" serve as metaphors for the enigmatic relationship between fire safety and UFO reporting. Just as players navigate through unforeseen challenges in these games, our research navigates the labyrinthine pathways of unexpected correlations and improbable connections.

The multifaceted nature of this inquiry invites us to unravel not only statistical correlations but also the rich tapestry of human curiosity, scientific inquiry, and the whimsical dance between the ordinary and the extraordinary. As we continue to unravel this cosmic conundrum, we are reminded that the universe is vast, our imaginations boundless, and the amalgamation of fire safety and UFO reporting, though unexpected, holds the potential for both enlightenment and amusement.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Google Trends . You used data from 2004 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]]
Sparks in the Skies: A Close Encounter of Labor and UFO Reporting

[[ABSTRACT]]
This paper investigates the peculiar relationship between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Using data from the Bureau of Labor Statistics and Google Trends, we aimed to shed light on this unusual pairing. Our findings reveal a striking correlation coefficient of 0.8351100 and p < 0.01 for the period from 2004 to 2022. The results not only set off the alarms but also suggest a potential connection between fire safety and extraterrestrial activities. Our research contributes to the growing body of knowledge at the intersection of unconventional correlations and light-hearted inquiries.

[[INTRODUCTION]]
In the vast expanse of academia, where researchers delve into serious matters with unwavering solemnity, we embark on a journey that is, quite literally, out of this world. Prepare yourself, dear reader, for a research endeavor that is as unexpected as a UFO sighting in broad daylight. We are about to probe the enigmatic nexus between the number of fire inspectors in the bayou state of Louisiana and public interest in reporting encounters with unidentified flying objects.
Now, before we proceed, let’s ignite our scientific curiosity and set ablaze our imagination. It is not often that one finds themselves grappling with the yin and yang of fire safety and extraterrestrial affairs. In the realm of science, where precision reigns supreme, there are times when we come across correlations and connections that are as perplexing as a math problem in a foreign language. And that, my esteemed colleagues, is precisely the enthralling puzzle we aim to unravel in this paper.
As we venture forth, it is prudent to address the elephant in the room – or should we say, the UFO in the sky? The premise of this study may have sparked skepticism and raised more eyebrows than a well-arched statistical bell curve. Allow us to assure you that our inquiry is not a flight of fancy, but a meticulously crafted investigation grounded in data, analysis, and a splash of adventurous curiosity.
Our intent is to ignite a fervent dialogue in the scientific community about the unexpected connections that lurk within the depths of statistical datasets. We aspire to infuse a dash of levity into the arena of research, for the pursuit of knowledge need not always be as serious as a heart attack – unless, of course, the topic is cardiology.
Now, with our tongues firmly in our cheeks and our telescopes trained on the statistical firmament, let us embark on this whimsical odyssey through the celestial realms of fire safety and extraterrestrial encounters. Our findings promise to be as illuminating as the search for life on distant planets, albeit with a touch of je ne sais quoi that will have you reaching for the stars, peppered with laughter and a sense of wonder.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the cosmic conundrum of the uncanny correlation between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting,' we concocted a research methodology that was equal parts meticulous and mirthful – think of it as a scientific tango with a spritz of extraterrestrial zest.

First, we meticulously combed through the treasure trove of data provided by the Bureau of Labor Statistics, focusing our gaze on the staffing levels of fire inspectors in the enchanting, mysterious, and occasionally flamboyant state of Louisiana from the years 2004 to 2022. We approached the data with the same level of attention one would give to untangling a perplexing knot, except in this case, the knot was made of statistical variables and the occasional Cajun spice.

Ah, but that was only the beginning of our escapade into the cosmic abyss. As intrepid explorers of the digital universe, we harnessed the mighty power of Google Trends to scrutinize the search interest – nay, the primordial curiosity – surrounding 'report UFO sighting' throughout the same whimsical time span. Much like casting a net into the vast ocean of cyberspace, we reeled in the search data with the calculated precision of a fisherman on a quest for the most elusive, enigmatic catch.

Now, dear colleagues, brace yourselves for the pièce de résistance of our methodological opus. To tease out the zesty nuances of correlation, we employed the trusty Pearson correlation coefficient, a stalwart friend to the statistically inclined. With bated breath and a touch of whimsy, we wrestled with the numbers and unfurled the enigma of statistical significance, procuring a correlation coefficient of 0.8351100 and a p-value that winked at us mischievously, daring us to doubt the significance of our findings.

In our unabashed quest to encounter the unexpected, we unleashed the powerful tool of time series analysis to peer through the temporal fog and extract the pulsating rhythms of correlation between fire inspectors and UFO sightings. This dance with the data left us breathless, yet invigorated, like revelers in a statistical ballroom where the music of correlation echoed through the hallowed halls of science.

Lastly, in a nod to the whimsical spirit that pervades our research, we conducted a cross-validation analysis, ensuring that our findings withstood the test of statistical scrutiny as resolutely as a UFO withstands the skepticism of terrestrial skeptics. The results, much like a clandestine rendezvous with the unknown, piqued our curiosity and kept our scientific spirits ablaze.

Armed with these methodological marvels and a sense of scientific whimsy, we set forth to navigate the perplexing terrain of statistical inference, clad in our humor and curiosity. With these methodological shenanigans in our arsenal, we arrived at the shores of discovery where fire safety meets the cosmic unknown, gazing into the stars with the statistical equivalent of a knowing wink and a cosmic smile.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Google Trends .

For the time period 2004 to 2022, you found a correlation 0.8351100, r-squared of 0.6974087, 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]]
Sparks in the Skies: A Close Encounter of Labor and UFO Reporting

[[ABSTRACT]]
This paper investigates the peculiar relationship between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Using data from the Bureau of Labor Statistics and Google Trends, we aimed to shed light on this unusual pairing. Our findings reveal a striking correlation coefficient of 0.8351100 and p < 0.01 for the period from 2004 to 2022. The results not only set off the alarms but also suggest a potential connection between fire safety and extraterrestrial activities. Our research contributes to the growing body of knowledge at the intersection of unconventional correlations and light-hearted inquiries.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the vast expanse of academia, where researchers delve into serious matters with unwavering solemnity, we embark on a journey that is, quite literally, out of this world. Prepare yourself, dear reader, for a research endeavor that is as unexpected as a UFO sighting in broad daylight. We are about to probe the enigmatic nexus between the number of fire inspectors in the bayou state of Louisiana and public interest in reporting encounters with unidentified flying objects.
Now, before we proceed, let’s ignite our scientific curiosity and set ablaze our imagination. It is not often that one finds themselves grappling with the yin and yang of fire safety and extraterrestrial affairs. In the realm of science, where precision reigns supreme, there are times when we come across correlations and connections that are as perplexing as a math problem in a foreign language. And that, my esteemed colleagues, is precisely the enthralling puzzle we aim to unravel in this paper.
As we venture forth, it is prudent to address the elephant in the room – or should we say, the UFO in the sky? The premise of this study may have sparked skepticism and raised more eyebrows than a well-arched statistical bell curve. Allow us to assure you that our inquiry is not a flight of fancy, but a meticulously crafted investigation grounded in data, analysis, and a splash of adventurous curiosity.
Our intent is to ignite a fervent dialogue in the scientific community about the unexpected connections that lurk within the depths of statistical datasets. We aspire to infuse a dash of levity into the arena of research, for the pursuit of knowledge need not always be as serious as a heart attack – unless, of course, the topic is cardiology.
Now, with our tongues firmly in our cheeks and our telescopes trained on the statistical firmament, let us embark on this whimsical odyssey through the celestial realms of fire safety and extraterrestrial encounters. Our findings promise to be as illuminating as the search for life on distant planets, albeit with a touch of je ne sais quoi that will have you reaching for the stars, peppered with laughter and a sense of wonder.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The findings of our investigation into the unexpected interplay between the number of fire inspectors in Louisiana and public interest in reporting UFO sightings have ignited a firestorm of curiosity and raised more eyebrows than a cartoon character on caffeine. After sifting through a trove of data from the Bureau of Labor Statistics and Google Trends – and dodging a few virtual meteor showers of irrelevant information – we emerged with a nugget of insight that is as enigmatic as a crop circle in a cornfield.

Our analysis revealed a correlation coefficient of 0.8351100, indicating a remarkably strong association between the two variables. The coefficient came down from the statistical heavens like a blazing comet, leaving us dumbfounded and exhilarated in equal measure. The r-squared value of 0.6974087 further bolstered our confidence in the robustness of this relationship, as it accounted for nearly 70% of the variance, signifying a more meaningful connection than finding a UFO-shaped potato chip in a bag of snacks.

The p-value, heralding its significance with a resounding drumroll of < 0.01, provided compelling evidence that the observed correlation was not a mere fluke. Indeed, the probability of such a strong association occurring by chance is as remote as stumbling upon a live dinosaur during a leisurely stroll in the park.

Figure 1 encapsulates the essence of our findings in a visual masterpiece that rivals the splendor of a cosmic ballet. The scatterplot showcases a clear and compelling trajectory that intertwines the frequency of UFO sighting reports with the number of diligent fire inspectors in Louisiana. Each data point on the plot serves as a celestial beacon, guiding us through the celestial dance of statistical significance and improbable connections.

In conclusion, our results not only astonish and amuse but also prompt a fundamental rethinking of the correlation between fire safety and extraterrestrial activities. We invite the scientific community to join us in this lighthearted yet thought-provoking exploration, as we continue to push the boundaries of conventional research and unearth unexpected connections that defy the gravitational pull of conventional wisdom. After all, in the vast cosmos of statistical analysis, who's to say that fire inspectors and UFO sightings can't dance together in statistical harmony?


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
Sparks in the Skies: A Close Encounter of Labor and UFO Reporting

[[ABSTRACT]]
This paper investigates the peculiar relationship between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Using data from the Bureau of Labor Statistics and Google Trends, we aimed to shed light on this unusual pairing. Our findings reveal a striking correlation coefficient of 0.8351100 and p < 0.01 for the period from 2004 to 2022. The results not only set off the alarms but also suggest a potential connection between fire safety and extraterrestrial activities. Our research contributes to the growing body of knowledge at the intersection of unconventional correlations and light-hearted inquiries.

[[LITERATURE REVIEW]]
The investigation into the intersection of fire safety and UFO reporting prompts an exploration of existing literature on both topics. Smith et al. (2010) conducted a comprehensive study on the correlation between fire prevention measures and public alertness to potential aerial anomalies. Their findings underscore the importance of community awareness and vigilance in detecting airborne hazards, be they of terrestrial or extraterrestrial origin.
Doe and Jones (2015) delved into the intricacies of public perception and reporting behaviors when faced with inexplicable sightings in the sky. Their work sheds light on the psychological factors that influence an individual's decision to report a UFO sighting, positing that heightened awareness of safety measures, such as fire inspection protocols, may prompt individuals to be more attuned to their surroundings and hence report unusual phenomena.
Venturing beyond the confines of traditional academic research, one may find tangential insights from non-fictional works such as "The UFO Experience: A Scientific Inquiry" by Hynek (1972) and "Fire Prevention and Safety" by Smith (2018). While the former contemplates the scientific rigor of UFO investigations, the latter provides practical guidance for fire inspectors and emphasizes the need for constant vigilance in the realm of public safety.
However, the literature on this peculiar pairing does not confine itself to scholarly texts. Works of fiction, such as "Close Encounters of the Third Kind" by Spielberg (1977) and "The X-Files: Ground Zero" by Anderson (1995), offer intriguing narratives on the intersection of unexplained phenomena and the efforts of law enforcement agencies, including fire inspectors, to grapple with the unknown.
Drawing inspiration from board games, the cryptic quests found in "Betrayal at Baldur's Gate" and the exploration of the unknown in "Eldritch Horror" serve as metaphors for the enigmatic relationship between fire safety and UFO reporting. Just as players navigate through unforeseen challenges in these games, our research navigates the labyrinthine pathways of unexpected correlations and improbable connections.
The multifaceted nature of this inquiry invites us to unravel not only statistical correlations but also the rich tapestry of human curiosity, scientific inquiry, and the whimsical dance between the ordinary and the extraordinary. As we continue to unravel this cosmic conundrum, we are reminded that the universe is vast, our imaginations boundless, and the amalgamation of fire safety and UFO reporting, though unexpected, holds the potential for both enlightenment and amusement.

[[RESULTS]]
The findings of our investigation into the unexpected interplay between the number of fire inspectors in Louisiana and public interest in reporting UFO sightings have ignited a firestorm of curiosity and raised more eyebrows than a cartoon character on caffeine. After sifting through a trove of data from the Bureau of Labor Statistics and Google Trends – and dodging a few virtual meteor showers of irrelevant information – we emerged with a nugget of insight that is as enigmatic as a crop circle in a cornfield.
Our analysis revealed a correlation coefficient of 0.8351100, indicating a remarkably strong association between the two variables. The coefficient came down from the statistical heavens like a blazing comet, leaving us dumbfounded and exhilarated in equal measure. The r-squared value of 0.6974087 further bolstered our confidence in the robustness of this relationship, as it accounted for nearly 70% of the variance, signifying a more meaningful connection than finding a UFO-shaped potato chip in a bag of snacks.
The p-value, heralding its significance with a resounding drumroll of < 0.01, provided compelling evidence that the observed correlation was not a mere fluke. Indeed, the probability of such a strong association occurring by chance is as remote as stumbling upon a live dinosaur during a leisurely stroll in the park.
Figure 1 encapsulates the essence of our findings in a visual masterpiece that rivals the splendor of a cosmic ballet. The scatterplot showcases a clear and compelling trajectory that intertwines the frequency of UFO sighting reports with the number of diligent fire inspectors in Louisiana. Each data point on the plot serves as a celestial beacon, guiding us through the celestial dance of statistical significance and improbable connections.
In conclusion, our results not only astonish and amuse but also prompt a fundamental rethinking of the correlation between fire safety and extraterrestrial activities. We invite the scientific community to join us in this lighthearted yet thought-provoking exploration, as we continue to push the boundaries of conventional research and unearth unexpected connections that defy the gravitational pull of conventional wisdom. After all, in the vast cosmos of statistical analysis, who's to say that fire inspectors and UFO sightings can't dance together in statistical harmony?

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

Upon witnessing the astronomical correlation coefficient and the statistical meteor shower of excitement that ensued, one could not help but wonder if our findings were a bit too otherworldly. However, it seems that our results have in fact corroborated the existing literature, providing a new dimension of understanding to the quirky connection between fire safety and UFO reporting.

Smith et al. (2010) emphasized the importance of community awareness in detecting potential aerial anomalies, and our study seems to echo this sentiment as we observe a strong association between the number of fire inspectors and public interest in reporting UFO sightings. It's as if the fire inspectors are not only safeguarding against earthly blazes but also keeping an eye out for otherworldly sparks in the skies!

Doe and Jones (2015) delved into the psychological factors influencing UFO reporting, and it appears that our results support their hypotheses. The heightened awareness of safety measures, such as fire inspection protocols, seems to prompt individuals to be more vigilant about reporting unusual phenomena. It's like the fire inspectors are not just extinguishing fires but also sparking a keen interest in reporting unidentified flying objects!

The tangential insights from non-fictional works by Hynek (1972) and Smith (2018) underscore the need for constant vigilance in the realm of public safety, which is echoed in our findings. The interstellar truth seems to be shining through our data, as the robust correlation coefficient and the elusive p-value point to an improbable but solid connection between fire safety and UFO reporting.

Venturing beyond the confines of traditional academic research, we are reminded of the excitement and intrigue found in board games like "Betrayal at Baldur's Gate" and "Eldritch Horror," where unexpected correlations and improbable connections mirror the whimsical dance we've observed in our statistical analysis. Who knew that statistical analysis could be as thrilling as a board game adventure, complete with unexpected plot twists and mysterious revelations?

Our findings not only add credence to the existing literature but also elevate the conversation about the amalgamation of fire safety and UFO reporting to a new cosmic level. Our research serves as a beacon, guiding us through the celestial dance of statistical significance and improbable connections. As we continue to push the boundaries of conventional research, the enigmatic relationship between fire safety and UFO reporting beckons us to explore its cosmic conundrum and unearth unexpected connections that defy the gravitational pull of conventional wisdom.

In conclusion, our findings not only sound the alarm for scientific curiosity but also set the stage for a lighthearted exploration of the intersection of conventional wisdom and cosmic whimsy. After all, who's to say that fire inspectors and UFO sightings can't light up the statistical sky with their improbable dance?


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
Sparks in the Skies: A Close Encounter of Labor and UFO Reporting

[[ABSTRACT]]
This paper investigates the peculiar relationship between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Using data from the Bureau of Labor Statistics and Google Trends, we aimed to shed light on this unusual pairing. Our findings reveal a striking correlation coefficient of 0.8351100 and p < 0.01 for the period from 2004 to 2022. The results not only set off the alarms but also suggest a potential connection between fire safety and extraterrestrial activities. Our research contributes to the growing body of knowledge at the intersection of unconventional correlations and light-hearted inquiries.

[[INTRDUCTION]]
In the vast expanse of academia, where researchers delve into serious matters with unwavering solemnity, we embark on a journey that is, quite literally, out of this world. Prepare yourself, dear reader, for a research endeavor that is as unexpected as a UFO sighting in broad daylight. We are about to probe the enigmatic nexus between the number of fire inspectors in the bayou state of Louisiana and public interest in reporting encounters with unidentified flying objects.
Now, before we proceed, let’s ignite our scientific curiosity and set ablaze our imagination. It is not often that one finds themselves grappling with the yin and yang of fire safety and extraterrestrial affairs. In the realm of science, where precision reigns supreme, there are times when we come across correlations and connections that are as perplexing as a math problem in a foreign language. And that, my esteemed colleagues, is precisely the enthralling puzzle we aim to unravel in this paper.
As we venture forth, it is prudent to address the elephant in the room – or should we say, the UFO in the sky? The premise of this study may have sparked skepticism and raised more eyebrows than a well-arched statistical bell curve. Allow us to assure you that our inquiry is not a flight of fancy, but a meticulously crafted investigation grounded in data, analysis, and a splash of adventurous curiosity.
Our intent is to ignite a fervent dialogue in the scientific community about the unexpected connections that lurk within the depths of statistical datasets. We aspire to infuse a dash of levity into the arena of research, for the pursuit of knowledge need not always be as serious as a heart attack – unless, of course, the topic is cardiology.
Now, with our tongues firmly in our cheeks and our telescopes trained on the statistical firmament, let us embark on this whimsical odyssey through the celestial realms of fire safety and extraterrestrial encounters. Our findings promise to be as illuminating as the search for life on distant planets, albeit with a touch of je ne sais quoi that will have you reaching for the stars, peppered with laughter and a sense of wonder.

[[RESULTS]]
The findings of our investigation into the unexpected interplay between the number of fire inspectors in Louisiana and public interest in reporting UFO sightings have ignited a firestorm of curiosity and raised more eyebrows than a cartoon character on caffeine. After sifting through a trove of data from the Bureau of Labor Statistics and Google Trends – and dodging a few virtual meteor showers of irrelevant information – we emerged with a nugget of insight that is as enigmatic as a crop circle in a cornfield.
Our analysis revealed a correlation coefficient of 0.8351100, indicating a remarkably strong association between the two variables. The coefficient came down from the statistical heavens like a blazing comet, leaving us dumbfounded and exhilarated in equal measure. The r-squared value of 0.6974087 further bolstered our confidence in the robustness of this relationship, as it accounted for nearly 70% of the variance, signifying a more meaningful connection than finding a UFO-shaped potato chip in a bag of snacks.
The p-value, heralding its significance with a resounding drumroll of < 0.01, provided compelling evidence that the observed correlation was not a mere fluke. Indeed, the probability of such a strong association occurring by chance is as remote as stumbling upon a live dinosaur during a leisurely stroll in the park.
Figure 1 encapsulates the essence of our findings in a visual masterpiece that rivals the splendor of a cosmic ballet. The scatterplot showcases a clear and compelling trajectory that intertwines the frequency of UFO sighting reports with the number of diligent fire inspectors in Louisiana. Each data point on the plot serves as a celestial beacon, guiding us through the celestial dance of statistical significance and improbable connections.
In conclusion, our results not only astonish and amuse but also prompt a fundamental rethinking of the correlation between fire safety and extraterrestrial activities. We invite the scientific community to join us in this lighthearted yet thought-provoking exploration, as we continue to push the boundaries of conventional research and unearth unexpected connections that defy the gravitational pull of conventional wisdom. After all, in the vast cosmos of statistical analysis, who's to say that fire inspectors and UFO sightings can't dance together in statistical harmony?

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study delved into the fiery nexus between fire safety and extraterrestrial encounters, leaving us with more enigma than a UFO vanishing into thin air. The correlation coefficient of 0.8351100 ignited a fervent spark in our hearts, much like a UFO sighting in the night sky, revealing a closeness between these seemingly disparate variables that's as unexpected as finding ET at an arson investigation.

The p-value, < 0.01, served as a cosmic confirmation of this unlikely connection, akin to stumbling upon a statistically significant asteroid in a sea of space debris. The r-squared value of 0.6974087 underscored the substantial variance accounted for, painting a picture as clear as the skies on a starry night.

A scatterplot, with data points twinkling like stars, depicted the intertwining trajectories of UFO sightings and the diligent endeavors of fire inspectors, akin to a celestial dance between statistical significance and improbable associations. This revelation left us as astounded as a scientist stumbling upon a disco ball on Mars.

We must confess, the findings tantalize the imagination and beckon us to the edge of the unknown, much like a mysterious light in the sky. However, we reluctantly conclude that no further research is needed in this area. It’s time to let this UFO take off and venture into other unexplored statistical galaxies. After all, as they say, too much probing can lead to alienation – both in the cosmos and in the pursuit of statistical discoveries!


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 Sparks in the Skies: A Close Encounter of Labor and UFO Reporting. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Extraterrestrial Employment 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 Sparks in the Skies: A Close Encounter of Labor and UFO Reporting. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Extraterrestrial Employment Studies


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 Sparks in the Skies: A Close Encounter of Labor and UFO Reporting with an abstract of This paper investigates the peculiar relationship between the number of fire inspectors in Louisiana and Google searches for 'report UFO sighting'. Using data from the Bureau of Labor Statistics and Google Trends, we aimed to shed light on this unusual pairing. Our findings reveal a striking correlation coefficient of 0.8351100 and p < 0.01 for the period from 2004 to 2022. The results not only set off the alarms but also suggest a potential connection between fire safety and extraterrestrial activities. Our research contributes to the growing body of knowledge at the intersection of unconventional correlations and light-hearted inquiries.

ChatGPT:

UFO sightings, labor statistics, fire inspectors, Google Trends, correlation coefficient, Louisiana, extraterrestrial activities, fire safety, unusual pairings, unconventional correlations

*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 fire inspectors in Louisiana
Detailed data title: BLS estimate of fire inspectors and investigators in Louisiana
Source: Bureau of Larbor Statistics
See what else correlates with The number of fire inspectors in Louisiana

Google searches for 'report UFO sighting'
Detailed data title: Relative volume of Google searches for 'report UFO sighting' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'report UFO sighting'

Correlation r = 0.8351100 (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 = 0.6974087 (Coefficient of determination)
This means 69.7% of the change in the one variable (i.e., Google searches for 'report UFO sighting') is predictable based on the change in the other (i.e., The number of fire inspectors in Louisiana) over the 19 years from 2004 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.6E-6. 0.0000086379694886688000000000
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 0.00086% of random cases. Said differently, if you correlated 115,768 random variables You don't actually need 115 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 18 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.

[ 0.61, 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.
2004200520062007200820092010201120122013201420152016201720182019202020212022
The number of fire inspectors in Louisiana (Laborers)29021029020020016026027015017017015011014012015011070120
Google searches for 'report UFO sighting' (Rel. search volume)18.666712.416713.259.833339.1666710.416711.83338.166676.55.416673.916675.333333.52.833333.583334.4166744.53.16667




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([290,210,290,200,200,160,260,270,150,170,170,150,110,140,120,150,110,70,120,])
array_2 = np.array([18.6667,12.4167,13.25,9.83333,9.16667,10.4167,11.8333,8.16667,6.5,5.41667,3.91667,5.33333,3.5,2.83333,3.58333,4.41667,4,4.5,3.16667,])
array_1_name = "The number of fire inspectors in Louisiana"
array_2_name = "Google searches for 'report UFO sighting'"

# 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 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: 2247 · Black Variable ID: 8710 · Red Variable ID: 1392
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