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Spurious correlation #2,262 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Tariq and the second variable is The number of vending machine repairers in New Hampshire.  The chart goes from 2003 to 2019, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the name Tariq fell out of favor, fewer parents were willing to name their kids after Tariq, the vending machine enthusiast and amateur repairman. This led to a shortage of budding vending machine repairers in New Hampshire, ultimately causing a decrease in the number of professionals in the field. It seems the popularity of the name Tariq had a real knack for dispensing future talents in vending machine repair!

Model: dalle-3
Prompt: Generate an image of a bustling cyberpunk city square in New Hampshire. In the center, there is a tall, futuristic vending machine surrounded by a group of skilled repairers using advanced tools to service it. Among the repairers, a confident young boy named Tariq walks up with his group of friends, all eagerly waiting to get a snack from the freshly fixed machine. Tariq waves to the repairers, showing his popularity among his peers in the cyberpunk community. The city is filled with neon lights, futuristic skyscrapers, and bustling crowds, creating a vibrant cyberpunk atmosphere. 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: Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire. 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: Futuristic Sci-fi fantacy Psychedelic Cyberpunk Low poly
ChatGPT: Cyberpunk

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 Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire together. Keep the description simple.
ChatGPT: In a bustling city square in New Hampshire, a group of vending machine repairers are gathered around a tall vending machine. As they work, they are interrupted by a young boy named Tariq, who confidently walks up to them with a group of friends, all eager to get a snack from the newly repaired machine. Tariq waves to the repairers as he waits his turn, showing his popularity among his peers in the community.

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: [ Cyberpunk ] and depicting this scene: In a bustling city square in New Hampshire, a group of vending machine repairers are gathered around a tall vending machine. As they work, they are interrupted by a young boy named Tariq, who confidently walks up to them with a group of friends, all eager to get a snack from the newly repaired machine. Tariq waves to the repairers as he waits his turn, showing his popularity among his peers in the community. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a bustling cyberpunk city square in New Hampshire. In the center, there is a tall, futuristic vending machine surrounded by a group of skilled repairers using advanced tools to service it. Among the repairers, a confident young boy named Tariq walks up with his group of friends, all eagerly waiting to get a snack from the freshly fixed machine. Tariq waves to the repairers, showing his popularity among his peers in the cyberpunk community. The city is filled with neon lights, futuristic skyscrapers, and bustling crowds, creating a vibrant cyberpunk atmosphere.

*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 Popularity of the first name Tariq caused The number of vending machine repairers in New Hampshire to decrease. Include one good pun.

AI academic paper

(Because p < 0.01)
The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire

The Journal of Whimsical Sociological 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 witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire. Make lots of jokes, goofy observations, and puns.

Make the title a clever pun.

Your research team used data from US Social Security Administration and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.8355008 and p < 0.01 for 2003 to 2019.

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

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire

[[ABSTRACT]]
This paper delves into the whimsical world of statistical analysis by exploring the peculiar association between the prevalence of the name "Tariq" and the population of vending machine repairers in the picturesque state of New Hampshire. A team of intrepid researchers, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, embarked on a quest to unravel the mystifying correlation between these seemingly unrelated variables.

Through rigorous analysis, a striking correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019 emerged, demonstrating the surprising linkage between the popularity of the moniker "Tariq" and the maintenance of vending machines in the Granite State. The findings of this study not only provide a quirky anecdote to enliven academic discourse, but also challenge traditional assumptions about the interconnectedness of human nomenclature and occupational demographics. As we journey through this lighthearted exploration, let us not overlook the unanticipated whimsy that can be derived from the most unexpected statistical relationships.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire. 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]]
The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire

[[ABSTRACT]]
This paper delves into the whimsical world of statistical analysis by exploring the peculiar association between the prevalence of the name "Tariq" and the population of vending machine repairers in the picturesque state of New Hampshire. A team of intrepid researchers, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, embarked on a quest to unravel the mystifying correlation between these seemingly unrelated variables.

Through rigorous analysis, a striking correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019 emerged, demonstrating the surprising linkage between the popularity of the moniker "Tariq" and the maintenance of vending machines in the Granite State. The findings of this study not only provide a quirky anecdote to enliven academic discourse, but also challenge traditional assumptions about the interconnectedness of human nomenclature and occupational demographics. As we journey through this lighthearted exploration, let us not overlook the unanticipated whimsy that can be derived from the most unexpected statistical relationships.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
INTRODUCTION

In the enchanting realm of statistical analysis, there are moments when the mundane gives way to the marvelously eccentric. We find ourselves drawn into an exploration of the extraordinary, the preposterous, and the paradoxical. Such is the case in our investigation of the curious connection between the prevalence of the name "Tariq" and the population of vending machine repairers in the idyllic state of New Hampshire.

As we embark on this delightful endeavor, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, we cannot help but marvel at the enigmatic nature of these seemingly disparate variables. What whimsical forces conspire to link a name—laden with history and tradition—to the specialized vocation of tending to the needs of vending machines?

Picture, if you will, a vending machine repairer named Tariq, gracefully maneuvering amidst the mechanical contraptions, perhaps bestowing upon them a touch of human empathy as he tends to their whims and quirks. Is it mere coincidence, or is there a more profound connection at play? The allure of this statistical puzzle beckons us to uncover its secrets, much like a magician coaxing a rabbit from a top hat.

While the findings of our study may initially elicit a chuckle or a raised eyebrow, we must not underestimate the profound implications of uncovering unexpected correlations. Could it be that the popularity of a name holds sway over the vocational choices of a populace? Are we witnessing the subtle influence of nomenclature on the fabric of occupational demographics?

With a correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019, our whimsical odyssey is buttressed by robust statistical evidence. In the words of Sir Arthur Conan Doyle, "The game is afoot!" The unassuming relationships lurking in the annals of data are ripe for discovery, and the results of our inquiry are poised to inject a touch of mirth into the staid halls of academic discourse.

As we delve into this merry escapade, let us not lose sight of the enchanting humor that can be derived from the most unexpected statistical tapestries. Join us as we unravel the Tariq Tendency and shatter conventional perceptions with the revelatory power of data and analysis.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire. 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. Then name some cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire

[[ABSTRACT]]
This paper delves into the whimsical world of statistical analysis by exploring the peculiar association between the prevalence of the name "Tariq" and the population of vending machine repairers in the picturesque state of New Hampshire. A team of intrepid researchers, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, embarked on a quest to unravel the mystifying correlation between these seemingly unrelated variables.

Through rigorous analysis, a striking correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019 emerged, demonstrating the surprising linkage between the popularity of the moniker "Tariq" and the maintenance of vending machines in the Granite State. The findings of this study not only provide a quirky anecdote to enliven academic discourse, but also challenge traditional assumptions about the interconnectedness of human nomenclature and occupational demographics. As we journey through this lighthearted exploration, let us not overlook the unanticipated whimsy that can be derived from the most unexpected statistical relationships.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
In the enchanting realm of statistical analysis, there are moments when the mundane gives way to the marvelously eccentric. We find ourselves drawn into an exploration of the extraordinary, the preposterous, and the paradoxical. Such is the case in our investigation of the curious connection between the prevalence of the name "Tariq" and the population of vending machine repairers in the idyllic state of New Hampshire.
As we embark on this delightful endeavor, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, we cannot help but marvel at the enigmatic nature of these seemingly disparate variables. What whimsical forces conspire to link a name—laden with history and tradition—to the specialized vocation of tending to the needs of vending machines?
Picture, if you will, a vending machine repairer named Tariq, gracefully maneuvering amidst the mechanical contraptions, perhaps bestowing upon them a touch of human empathy as he tends to their whims and quirks. Is it mere coincidence, or is there a more profound connection at play? The allure of this statistical puzzle beckons us to uncover its secrets, much like a magician coaxing a rabbit from a top hat.
While the findings of our study may initially elicit a chuckle or a raised eyebrow, we must not underestimate the profound implications of uncovering unexpected correlations. Could it be that the popularity of a name holds sway over the vocational choices of a populace? Are we witnessing the subtle influence of nomenclature on the fabric of occupational demographics?
With a correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019, our whimsical odyssey is buttressed by robust statistical evidence. In the words of Sir Arthur Conan Doyle, "The game is afoot!" The unassuming relationships lurking in the annals of data are ripe for discovery, and the results of our inquiry are poised to inject a touch of mirth into the staid halls of academic discourse.
As we delve into this merry escapade, let us not lose sight of the enchanting humor that can be derived from the most unexpected statistical tapestries. Join us as we unravel the Tariq Tendency and shatter conventional perceptions with the revelatory power of data and analysis.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The Tariq Tendency, a quixotic journey into the realm of statistical whimsy, unearths a delightful array of literature that illuminates the unexpected interplay of nomenclature and occupational demographics. Smith et al. (2015) initially set the stage with an earnest exploration of the societal impact of names, delving into the nuances of appellative significance and its underlying influence on human behavior. Meanwhile, Doe and Jones (2017) offer a captivating dissection of occupational trends in a charming exposition that evokes both ponderous reflection and elation.

Turning to non-fiction works, "Freakonomics" by Levitt and Dubner piques our interest with its eccentric examination of unconventional correlations, much like our own endeavor. Additionally, "Blink" by Malcolm Gladwell sheds light on the hidden influences that shape our decisions, subtly hinting at the whimsical forces at play in the Tariq Tendency.

In the realm of fiction, "The Name of the Rose" by Umberto Eco unfolds a labyrinthine tale of mystery and intrigue, inviting us to contemplate the enigmatic allure of nomenclature and its potential impact on societal dynamics. Equally compelling is Murakami's "Kafka on the Shore," a surreal journey that deftly intertwines the absurd and the profound, much like our own exploration of Tariq's enigmatic influence.

As we embrace the whimsical spirit of our inquiry, it would be remiss not to acknowledge the formative influence of childhood animations and their subtle lessons. "The Magic School Bus" and its whimsical adventures remind us that the seemingly inconceivable can be explained through the prism of scientific inquiry. Likewise, the lovable inhabitants of "Sesame Street," with their endearing antics and educational musings, whisper a subtle message: the interconnectedness of seemingly disparate phenomena may hold secrets waiting to be unveiled.

In traversing this lighthearted odyssey, we are reminded of the sheer delight that can be derived from the exploration of unexpected correlations. Let us delight in the whimsy, for in the tapestry of statistical analysis, as in life, the most improbable threads often weave the most enchanting tales.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire. 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 US Social Security Administration and Bureau of Larbor Statistics . You used data from 2003 to 2019

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire

[[ABSTRACT]]
This paper delves into the whimsical world of statistical analysis by exploring the peculiar association between the prevalence of the name "Tariq" and the population of vending machine repairers in the picturesque state of New Hampshire. A team of intrepid researchers, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, embarked on a quest to unravel the mystifying correlation between these seemingly unrelated variables.

Through rigorous analysis, a striking correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019 emerged, demonstrating the surprising linkage between the popularity of the moniker "Tariq" and the maintenance of vending machines in the Granite State. The findings of this study not only provide a quirky anecdote to enliven academic discourse, but also challenge traditional assumptions about the interconnectedness of human nomenclature and occupational demographics. As we journey through this lighthearted exploration, let us not overlook the unanticipated whimsy that can be derived from the most unexpected statistical relationships.

[[INTRODUCTION]]
INTRODUCTION
In the enchanting realm of statistical analysis, there are moments when the mundane gives way to the marvelously eccentric. We find ourselves drawn into an exploration of the extraordinary, the preposterous, and the paradoxical. Such is the case in our investigation of the curious connection between the prevalence of the name "Tariq" and the population of vending machine repairers in the idyllic state of New Hampshire.
As we embark on this delightful endeavor, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, we cannot help but marvel at the enigmatic nature of these seemingly disparate variables. What whimsical forces conspire to link a name—laden with history and tradition—to the specialized vocation of tending to the needs of vending machines?
Picture, if you will, a vending machine repairer named Tariq, gracefully maneuvering amidst the mechanical contraptions, perhaps bestowing upon them a touch of human empathy as he tends to their whims and quirks. Is it mere coincidence, or is there a more profound connection at play? The allure of this statistical puzzle beckons us to uncover its secrets, much like a magician coaxing a rabbit from a top hat.
While the findings of our study may initially elicit a chuckle or a raised eyebrow, we must not underestimate the profound implications of uncovering unexpected correlations. Could it be that the popularity of a name holds sway over the vocational choices of a populace? Are we witnessing the subtle influence of nomenclature on the fabric of occupational demographics?
With a correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019, our whimsical odyssey is buttressed by robust statistical evidence. In the words of Sir Arthur Conan Doyle, "The game is afoot!" The unassuming relationships lurking in the annals of data are ripe for discovery, and the results of our inquiry are poised to inject a touch of mirth into the staid halls of academic discourse.
As we delve into this merry escapade, let us not lose sight of the enchanting humor that can be derived from the most unexpected statistical tapestries. Join us as we unravel the Tariq Tendency and shatter conventional perceptions with the revelatory power of data and analysis.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the enigmatic correlation between the prevalence of the name "Tariq" and the population of vending machine repairers in New Hampshire, our research team embarked on an adventure laden with whimsy and wonder. Armed with data from the US Social Security Administration and the Bureau of Labor Statistics, we ventured into the labyrinthine landscape of statistical analysis, donning our metaphorical deerstalker hats as we sought to discover the elusive threads binding human nomenclature and occupational demographics.

First, we utilized the records from the US Social Security Administration to track the trajectory of the name "Tariq" over the years 2003 to 2019. Drawing upon the aptly named "baby name database," we extracted the frequency of newborns bestowed with the appellation "Tariq" and marveled at the ebb and flow of this whimsically named cohort.

Simultaneously, we delved into the Bureau of Labor Statistics' treasure trove of occupational data, where we meticulously cataloged the number of intrepid souls devoting their days to the noble craft of vending machine repair in the picturesque terrain of New Hampshire. Through careful curation and a touch of statistical alchemy, we honed in on the variations in vending machine repairer population over the same period.

Our enchanting journey then culminated in the mystical realms of statistical analysis, where we summoned the arcane powers of correlation coefficients and p-values to unveil the interplay between these seemingly unrelated phenomena. Like astronomers scrutinizing the dance of celestial bodies, we observed a striking correlation coefficient of 0.8355008 and a p-value < 0.01, deftly illustrating the astounding link between the prevalence of the name "Tariq" and the industrious artisans tending to vending machines in the ethereal land of New Hampshire.

Thus, with bated breath and a touch of mirth, we present our findings, demonstrating that the Tariq Tendency is not merely a flight of fancy, but a statistically robust phenomenon worthy of scholarly inquiry and, dare we say, indulgent amusement.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire. 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 US Social Security Administration and Bureau of Larbor Statistics .

For the time period 2003 to 2019, you found a correlation 0.8355008, r-squared of 0.6980615, and p < 0.01.

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

Here is the title and abstract of the paper:
[[TITLE]]
The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire

[[ABSTRACT]]
This paper delves into the whimsical world of statistical analysis by exploring the peculiar association between the prevalence of the name "Tariq" and the population of vending machine repairers in the picturesque state of New Hampshire. A team of intrepid researchers, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, embarked on a quest to unravel the mystifying correlation between these seemingly unrelated variables.

Through rigorous analysis, a striking correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019 emerged, demonstrating the surprising linkage between the popularity of the moniker "Tariq" and the maintenance of vending machines in the Granite State. The findings of this study not only provide a quirky anecdote to enliven academic discourse, but also challenge traditional assumptions about the interconnectedness of human nomenclature and occupational demographics. As we journey through this lighthearted exploration, let us not overlook the unanticipated whimsy that can be derived from the most unexpected statistical relationships.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
In the enchanting realm of statistical analysis, there are moments when the mundane gives way to the marvelously eccentric. We find ourselves drawn into an exploration of the extraordinary, the preposterous, and the paradoxical. Such is the case in our investigation of the curious connection between the prevalence of the name "Tariq" and the population of vending machine repairers in the idyllic state of New Hampshire.
As we embark on this delightful endeavor, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, we cannot help but marvel at the enigmatic nature of these seemingly disparate variables. What whimsical forces conspire to link a name—laden with history and tradition—to the specialized vocation of tending to the needs of vending machines?
Picture, if you will, a vending machine repairer named Tariq, gracefully maneuvering amidst the mechanical contraptions, perhaps bestowing upon them a touch of human empathy as he tends to their whims and quirks. Is it mere coincidence, or is there a more profound connection at play? The allure of this statistical puzzle beckons us to uncover its secrets, much like a magician coaxing a rabbit from a top hat.
While the findings of our study may initially elicit a chuckle or a raised eyebrow, we must not underestimate the profound implications of uncovering unexpected correlations. Could it be that the popularity of a name holds sway over the vocational choices of a populace? Are we witnessing the subtle influence of nomenclature on the fabric of occupational demographics?
With a correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019, our whimsical odyssey is buttressed by robust statistical evidence. In the words of Sir Arthur Conan Doyle, "The game is afoot!" The unassuming relationships lurking in the annals of data are ripe for discovery, and the results of our inquiry are poised to inject a touch of mirth into the staid halls of academic discourse.
As we delve into this merry escapade, let us not lose sight of the enchanting humor that can be derived from the most unexpected statistical tapestries. Join us as we unravel the Tariq Tendency and shatter conventional perceptions with the revelatory power of data and analysis.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our delightful foray into the world of statistical analysis have unveiled a captivating correlation between the popularity of the name "Tariq" and the number of vending machine repairers in the delightful state of New Hampshire. The correlation coefficient of 0.8355008 indicates a strong positive relationship between these seemingly unrelated variables.

The r-squared value of 0.6980615 further confirms that a substantial portion of the variation in the number of vending machine repairers in New Hampshire can be explained by the popularity of the name "Tariq." This intriguing finding prompts us to explore the potential implications of nomenclature on occupational demographics, akin to unraveling a whimsical mystery hidden within the annals of data.

Indeed, the p-value < 0.01 adds a touch of statistical pizzazz to our discovery, signifying the robustness of the connection between the name "Tariq" and the vocation of tending to the mechanical caprices of vending machines. This unexpected revelation not only adds a dash of intrigue to our academic discourse but also piques our curiosity about the curious ways in which human nomenclature may influence professional pursuits.

Figure 1 presents a scatterplot that vividly captures the vivacious correlation between the popularity of the name "Tariq" and the number of vending machine repairers in the charming state of New Hampshire. The buoyant dance of the data points in this whimsical visualization mirrors the lively interplay between human nomenclature and occupational proclivities, inviting us to indulge in a playful contemplation of this unexpected statistical liaison.

In summary, our exploration of the "Tariq Tendency" casts a delightful light on the serendipitous connections that abound within the realm of statistical analysis. This amusing correlation not only tickles the intellect but also reminds us to appreciate the delightful oddities waiting to be unearthed from beneath the austere veneer of data and analysis.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire. 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]]
The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire

[[ABSTRACT]]
This paper delves into the whimsical world of statistical analysis by exploring the peculiar association between the prevalence of the name "Tariq" and the population of vending machine repairers in the picturesque state of New Hampshire. A team of intrepid researchers, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, embarked on a quest to unravel the mystifying correlation between these seemingly unrelated variables.

Through rigorous analysis, a striking correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019 emerged, demonstrating the surprising linkage between the popularity of the moniker "Tariq" and the maintenance of vending machines in the Granite State. The findings of this study not only provide a quirky anecdote to enliven academic discourse, but also challenge traditional assumptions about the interconnectedness of human nomenclature and occupational demographics. As we journey through this lighthearted exploration, let us not overlook the unanticipated whimsy that can be derived from the most unexpected statistical relationships.

[[LITERATURE REVIEW]]
The Tariq Tendency, a quixotic journey into the realm of statistical whimsy, unearths a delightful array of literature that illuminates the unexpected interplay of nomenclature and occupational demographics. Smith et al. (2015) initially set the stage with an earnest exploration of the societal impact of names, delving into the nuances of appellative significance and its underlying influence on human behavior. Meanwhile, Doe and Jones (2017) offer a captivating dissection of occupational trends in a charming exposition that evokes both ponderous reflection and elation.
Turning to non-fiction works, "Freakonomics" by Levitt and Dubner piques our interest with its eccentric examination of unconventional correlations, much like our own endeavor. Additionally, "Blink" by Malcolm Gladwell sheds light on the hidden influences that shape our decisions, subtly hinting at the whimsical forces at play in the Tariq Tendency.
In the realm of fiction, "The Name of the Rose" by Umberto Eco unfolds a labyrinthine tale of mystery and intrigue, inviting us to contemplate the enigmatic allure of nomenclature and its potential impact on societal dynamics. Equally compelling is Murakami's "Kafka on the Shore," a surreal journey that deftly intertwines the absurd and the profound, much like our own exploration of Tariq's enigmatic influence.
As we embrace the whimsical spirit of our inquiry, it would be remiss not to acknowledge the formative influence of childhood animations and their subtle lessons. "The Magic School Bus" and its whimsical adventures remind us that the seemingly inconceivable can be explained through the prism of scientific inquiry. Likewise, the lovable inhabitants of "Sesame Street," with their endearing antics and educational musings, whisper a subtle message: the interconnectedness of seemingly disparate phenomena may hold secrets waiting to be unveiled.
In traversing this lighthearted odyssey, we are reminded of the sheer delight that can be derived from the exploration of unexpected correlations. Let us delight in the whimsy, for in the tapestry of statistical analysis, as in life, the most improbable threads often weave the most enchanting tales.

[[RESULTS]]
The results of our delightful foray into the world of statistical analysis have unveiled a captivating correlation between the popularity of the name "Tariq" and the number of vending machine repairers in the delightful state of New Hampshire. The correlation coefficient of 0.8355008 indicates a strong positive relationship between these seemingly unrelated variables.
The r-squared value of 0.6980615 further confirms that a substantial portion of the variation in the number of vending machine repairers in New Hampshire can be explained by the popularity of the name "Tariq." This intriguing finding prompts us to explore the potential implications of nomenclature on occupational demographics, akin to unraveling a whimsical mystery hidden within the annals of data.
Indeed, the p-value < 0.01 adds a touch of statistical pizzazz to our discovery, signifying the robustness of the connection between the name "Tariq" and the vocation of tending to the mechanical caprices of vending machines. This unexpected revelation not only adds a dash of intrigue to our academic discourse but also piques our curiosity about the curious ways in which human nomenclature may influence professional pursuits.
Figure 1 presents a scatterplot that vividly captures the vivacious correlation between the popularity of the name "Tariq" and the number of vending machine repairers in the charming state of New Hampshire. The buoyant dance of the data points in this whimsical visualization mirrors the lively interplay between human nomenclature and occupational proclivities, inviting us to indulge in a playful contemplation of this unexpected statistical liaison.
In summary, our exploration of the "Tariq Tendency" casts a delightful light on the serendipitous connections that abound within the realm of statistical analysis. This amusing correlation not only tickles the intellect but also reminds us to appreciate the delightful oddities waiting to be unearthed from beneath the austere veneer of data and analysis.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The Tariq Tendency has left us with a confounding conundrum – the astonishing correlation between the popularity of the name "Tariq" and the number of vending machine repairers in the charming state of New Hampshire. Our study builds upon the quirk-laden findings of previous research, as the results indeed robustly uphold the unexpected linkage between nomenclature and vocational preferences.

In our whimsical journey through the annals of statistical inquiry, we couldn't help but recall the mirthful musings of Smith et al. (2015), who pondered the societal impact of names with an earnestness that seems to match the intriguing correlation we have stumbled upon. If only they could witness the amusing statistical dance between Tariq and vending machine repairers we have charted in our study – surely, they would find ample amusement in this statistical serendipity!

Moreover, the enchanting r-squared value of 0.6980615 serves as a testament to the substantial portion of variation in the number of vending machine repairers that can be attributed to the popularity of the name "Tariq." This remarkable finding prompts us to imagine the potential implications of nomenclature on occupational demographics, akin to unraveling a whimsical mystery hidden within the annals of data – a mystery as delightfully perplexing as the plot twists in a Douglas Adams novel!

The p-value < 0.01 adds an extra dash of statistical pizzazz to our revelation, signifying the robustness of the connection between the name "Tariq" and the vocation of tending to the mechanical idiosyncrasies of vending machines. This unexpected liaison certainly adds a touch of intrigue to our academic discourse, much like finding a hidden treasure in the often bland landscape of statistical analysis.

With a twinkle in our eyes, we cannot help but appreciate the whimsical dance of data points in Figure 1, as they vividly capture the vivacious correlation between the popularity of the name "Tariq" and the number of vending machine repairers in the delightful state of New Hampshire. The playful interplay between human nomenclature and occupational proclivities provides a welcome respite, inviting us into a reverie where the seemingly improbable becomes a jovial reality.

In summary, our exploration of the "Tariq Tendency" casts a delightful light on the serendipitous connections that abound within the realm of statistical analysis. The amused intellect, akin to a child discovering an unexpected prize in a box of cereal, reminds us to savor the delightful oddities waiting to be unearthed from beneath the austere veneer of data and analysis.

The jaw-dropping connection between Tariq and vending machine repairers in New Hampshire has left us with a tickled intellect and an ardent curiosity for further whimsical statistical escapades.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Tariq and The number of vending machine repairers in New Hampshire. 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]]
The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire

[[ABSTRACT]]
This paper delves into the whimsical world of statistical analysis by exploring the peculiar association between the prevalence of the name "Tariq" and the population of vending machine repairers in the picturesque state of New Hampshire. A team of intrepid researchers, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, embarked on a quest to unravel the mystifying correlation between these seemingly unrelated variables.

Through rigorous analysis, a striking correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019 emerged, demonstrating the surprising linkage between the popularity of the moniker "Tariq" and the maintenance of vending machines in the Granite State. The findings of this study not only provide a quirky anecdote to enliven academic discourse, but also challenge traditional assumptions about the interconnectedness of human nomenclature and occupational demographics. As we journey through this lighthearted exploration, let us not overlook the unanticipated whimsy that can be derived from the most unexpected statistical relationships.

[[INTRDUCTION]]
INTRODUCTION
In the enchanting realm of statistical analysis, there are moments when the mundane gives way to the marvelously eccentric. We find ourselves drawn into an exploration of the extraordinary, the preposterous, and the paradoxical. Such is the case in our investigation of the curious connection between the prevalence of the name "Tariq" and the population of vending machine repairers in the idyllic state of New Hampshire.
As we embark on this delightful endeavor, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, we cannot help but marvel at the enigmatic nature of these seemingly disparate variables. What whimsical forces conspire to link a name—laden with history and tradition—to the specialized vocation of tending to the needs of vending machines?
Picture, if you will, a vending machine repairer named Tariq, gracefully maneuvering amidst the mechanical contraptions, perhaps bestowing upon them a touch of human empathy as he tends to their whims and quirks. Is it mere coincidence, or is there a more profound connection at play? The allure of this statistical puzzle beckons us to uncover its secrets, much like a magician coaxing a rabbit from a top hat.
While the findings of our study may initially elicit a chuckle or a raised eyebrow, we must not underestimate the profound implications of uncovering unexpected correlations. Could it be that the popularity of a name holds sway over the vocational choices of a populace? Are we witnessing the subtle influence of nomenclature on the fabric of occupational demographics?
With a correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019, our whimsical odyssey is buttressed by robust statistical evidence. In the words of Sir Arthur Conan Doyle, "The game is afoot!" The unassuming relationships lurking in the annals of data are ripe for discovery, and the results of our inquiry are poised to inject a touch of mirth into the staid halls of academic discourse.
As we delve into this merry escapade, let us not lose sight of the enchanting humor that can be derived from the most unexpected statistical tapestries. Join us as we unravel the Tariq Tendency and shatter conventional perceptions with the revelatory power of data and analysis.

[[RESULTS]]
The results of our delightful foray into the world of statistical analysis have unveiled a captivating correlation between the popularity of the name "Tariq" and the number of vending machine repairers in the delightful state of New Hampshire. The correlation coefficient of 0.8355008 indicates a strong positive relationship between these seemingly unrelated variables.
The r-squared value of 0.6980615 further confirms that a substantial portion of the variation in the number of vending machine repairers in New Hampshire can be explained by the popularity of the name "Tariq." This intriguing finding prompts us to explore the potential implications of nomenclature on occupational demographics, akin to unraveling a whimsical mystery hidden within the annals of data.
Indeed, the p-value < 0.01 adds a touch of statistical pizzazz to our discovery, signifying the robustness of the connection between the name "Tariq" and the vocation of tending to the mechanical caprices of vending machines. This unexpected revelation not only adds a dash of intrigue to our academic discourse but also piques our curiosity about the curious ways in which human nomenclature may influence professional pursuits.
Figure 1 presents a scatterplot that vividly captures the vivacious correlation between the popularity of the name "Tariq" and the number of vending machine repairers in the charming state of New Hampshire. The buoyant dance of the data points in this whimsical visualization mirrors the lively interplay between human nomenclature and occupational proclivities, inviting us to indulge in a playful contemplation of this unexpected statistical liaison.
In summary, our exploration of the "Tariq Tendency" casts a delightful light on the serendipitous connections that abound within the realm of statistical analysis. This amusing correlation not only tickles the intellect but also reminds us to appreciate the delightful oddities waiting to be unearthed from beneath the austere veneer of data and analysis.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

As we draw the delightful curtain on our whimsical odyssey through the realm of unlikely statistical bedfellows, the correlation between the prevalence of the name "Tariq" and the occupation of vending machine repairers in the picturesque state of New Hampshire emerges as a gleeful enigma. The robust correlation coefficient of 0.8355008 and the pizzazz-filled p-value < 0.01 for the years 2003 to 2019 have left us both amused and astounded.

The buoyant dance of the data points in Figure 1 serves as a cheeky reminder that statistical analysis is not all serious business; it's a playful romp through the confounding connections that lurk within our data. The vivacious interplay between the popularity of the name "Tariq" and the number of vending machine repairers in New Hampshire points to the whimsical dance of variables, reminding us that statistical analysis is not merely about numbers, but also about weaving narratives of unexpected intrigue.

We may be tempted to crack a pun about "vending machines dispensing both snacks and statistical insights," or to muse upon the possibility of a "serendipitous Tariq effect" in the occupational ebb and flow of the Granite State. Indeed, our findings reflect the delightful whimsy that can be uncovered amidst the seemingly mundane tapestries of data.

In conclusion, our jolly exploration of the "Tariq Tendency" underscores the charmingly capricious nature of statistical inquiry, and we submit that no further research in this realm is needed. Our merry escapade has not only enlivened academic discourse but has also reminded us to embrace the unexpected delights that await within the heart of statistical analysis. As we bid adieu to the Tariq Tendency, let us carry forth the spirit of curiosity and jocularity into our future statistical endeavors.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Whimsical Sociological Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Quirky Social Science Research


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Tariq Tendency: A Correlation Between the Popularity of the Name Tariq and the Number of Vending Machine Repairers in New Hampshire with an abstract of This paper delves into the whimsical world of statistical analysis by exploring the peculiar association between the prevalence of the name "Tariq" and the population of vending machine repairers in the picturesque state of New Hampshire. A team of intrepid researchers, armed with data from the US Social Security Administration and the Bureau of Labor Statistics, embarked on a quest to unravel the mystifying correlation between these seemingly unrelated variables.
Through rigorous analysis, a striking correlation coefficient of 0.8355008 and a p-value < 0.01 for the years 2003 to 2019 emerged, demonstrating the surprising linkage between the popularity of the moniker "Tariq" and the maintenance of vending machines in the Granite State. The findings of this study not only provide a quirky anecdote to enliven academic discourse, but also challenge traditional assumptions about the interconnectedness of human nomenclature and occupational demographics. As we journey through this lighthearted exploration, let us not overlook the unanticipated whimsy that can be derived from the most unexpected statistical relationships.

ChatGPT:

"Tariq name popularity," "vending machine repairers New Hampshire," "US Social Security Administration data," "Bureau of Labor Statistics," "statistical correlation," "Tariq name prevalence," "occupational demographics," "correlation coefficient," "p-value," "unrelated variables," "academic discourse," "statistical relationships"

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



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Data details

Popularity of the first name Tariq
Detailed data title: Babies of all sexes born in the US named Tariq
Source: US Social Security Administration
See what else correlates with Popularity of the first name Tariq

The number of vending machine repairers in New Hampshire
Detailed data title: BLS estimate of coin, vending, and amusement machine servicers and repairers in New Hampshire
Source: Bureau of Larbor Statistics
See what else correlates with The number of vending machine repairers in New Hampshire

Correlation r = 0.8355008 (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 = 0.6980615 (Coefficient of determination)
This means 69.8% of the change in the one variable (i.e., The number of vending machine repairers in New Hampshire) is predictable based on the change in the other (i.e., Popularity of the first name Tariq) over the 17 years from 2003 through 2019.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.0E-5. 0.0000297586397225559000000000
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 0.003% of random cases. Said differently, if you correlated 33,604 random variables You don't actually need 33 thousand variables to find a correlation like this one. 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.

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 16 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 16 because we have two variables measured over a period of 17 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.

[ 0.59, 0.94 ] 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.
20032004200520062007200820092010201120122013201420152016201720182019
Popularity of the first name Tariq (Babies born)2252011721741451171151111071151099294125141147119
The number of vending machine repairers in New Hampshire (Laborers)110100909040706040504050303090809060




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([225,201,172,174,145,117,115,111,107,115,109,92,94,125,141,147,119,])
array_2 = np.array([110,100,90,90,40,70,60,40,50,40,50,30,30,90,80,90,60,])
array_1_name = "Popularity of the first name Tariq"
array_2_name = "The number of vending machine repairers in New Hampshire"

# 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: 2262 · Black Variable ID: 3788 · Red Variable ID: 11469
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