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Spurious correlation #3,600 · 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 Arthur and the second variable is Wind power generated in Thailand.  The chart goes from 1998 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the name Arthur gained popularity, more people began referencing the legendary tale of King Arthur and the quest for the Holy Grail. This resurgence in interest led to a spike in sword production, creating a higher demand for steel. This, in turn, prompted Thailand to ramp up its wind power generation to meet the growing need for electricity in the global steel industry. After all, it's no coincidence that the legendary sword Excalibur was said to have been forged with otherworldly powers - clearly, Thailand saw the potential for a new era of renewable energy with a touch of Arthurian legend!

Model: dalle-3
Prompt: Create an art nouveau inspired image where a vibrant group of knights, donned in majestic armor and brandishing colorful banners bearing the name "Arthur," stand gallantly beside an ornate, ancient windmill in a Thai landscape. The windmill, adorned with intricate patterns and designs, with colossal wooden blades, whirls in the breeze as the knights eagerly operate it, harnessing the wind's energy for the community. Surrounding them, the onlookers cheer and celebrate the power being generated, uniting medieval aesthetics with modern renewable energy. 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 Arthur and Wind power generated in Thailand. 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 Voxel art Macabre a Polaroid photo Art nouveau
ChatGPT: Art nouveau

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 Arthur and Wind power generated in Thailand, in the following situation: The increase in popularity of the first name Arthur led to a surge in knights reenacting medieval windmills in Thailand, thereby boosting wind power generation in the country.. Keep the description simple.
ChatGPT: In Thailand, a group of enthusiastic knights, dressed in shining armor and flying colorful banners with the name "Arthur" emblazoned on them, stand proudly next to an ancient-looking windmill. They eagerly turn the giant wooden blades, harnessing the power of the wind to generate energy for the surrounding community. The cheers of onlookers fill the air as the wind power generated from the reenacted medieval windmills increases, bringing a renewable energy source to the nation.

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: [ Art nouveau ] and depicting this scene: In Thailand, a group of enthusiastic knights, dressed in shining armor and flying colorful banners with the name "Arthur" emblazoned on them, stand proudly next to an ancient-looking windmill. They eagerly turn the giant wooden blades, harnessing the power of the wind to generate energy for the surrounding community. The cheers of onlookers fill the air as the wind power generated from the reenacted medieval windmills increases, bringing a renewable energy source to the nation. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an art nouveau inspired image where a vibrant group of knights, donned in majestic armor and brandishing colorful banners bearing the name "Arthur," stand gallantly beside an ornate, ancient windmill in a Thai landscape. The windmill, adorned with intricate patterns and designs, with colossal wooden blades, whirls in the breeze as the knights eagerly operate it, harnessing the wind's energy for the community. Surrounding them, the onlookers cheer and celebrate the power being generated, uniting medieval aesthetics with modern renewable energy.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Popularity of the first name Arthur caused Wind power generated in Thailand to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)
Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand

The International Journal of Zephyr 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 Popularity of the first name Arthur and Wind power generated in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 US Social Security Administration and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9689367 and p < 0.01 for 1998 to 2021.

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

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand

[[ABSTRACT]]
In this study, we sought to investigate the peculiar relationship between the popularity of the first name Arthur and wind power generation in Thailand. Using data from the US Social Security Administration to track the frequency of the name Arthur and data from the Energy Information Administration to assess wind power generation in Thailand, we conducted a correlational analysis covering the years 1998 to 2021. The findings revealed a striking correlation coefficient of 0.9689367 and a statistically significant p-value of less than 0.01. While not implying a causal relationship, this unexpected connection raises intriguing questions and sparks the imagination, leaving us pondering the whimsical ways in which the wind may whisper the name Arthur across distant lands.


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 Popularity of the first name Arthur and Wind power generated in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand

[[ABSTRACT]]
In this study, we sought to investigate the peculiar relationship between the popularity of the first name Arthur and wind power generation in Thailand. Using data from the US Social Security Administration to track the frequency of the name Arthur and data from the Energy Information Administration to assess wind power generation in Thailand, we conducted a correlational analysis covering the years 1998 to 2021. The findings revealed a striking correlation coefficient of 0.9689367 and a statistically significant p-value of less than 0.01. While not implying a causal relationship, this unexpected connection raises intriguing questions and sparks the imagination, leaving us pondering the whimsical ways in which the wind may whisper the name Arthur across distant lands.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The study of correlations between seemingly unrelated phenomena has long fascinated researchers, leading them down whimsical and unexpected paths. In the realm of nomenclature and renewable energy, our investigation delves into the intriguing connection between the popularity of the first name Arthur and wind power generation in the tropical haven of Thailand. While many may scoff at the notion of such a seemingly ludicrous association, we cherish the peculiar and the peculiar often rewards our pursuit with fascinating discoveries – or at the very least, a good laugh.

The whimsical hypothesis underlying this investigation sprouted from a chance conversation over coffee, where one of the researchers mused, “Wouldn't it be amusing if there were a correlation between the gusts of wind and the gusts of whispers of the name Arthur?” Thus, in the spirit of scientific inquiry and a healthy dose of curiosity, we embarked on this scholarly adventure to probe the mysterious ties that may bind the moniker 'Arthur' and the ethereal dance of wind turbines.

Unraveling the enigma begins with an exploration of the data sources at our disposal. We utilized the comprehensive records of the US Social Security Administration to track the frequency of the name Arthur from 1998 to 2021, establishing a robust foundation for our investigation. Aligning this lexical pursuit with the energetically charged world of sustainable power, we turned to the Energy Information Administration's data on wind power generation in Thailand, seeking to capture the ebb and flow of wind-driven electricity production.

As stalwart proponents of methodological rigor, we employed a correlational analysis to dissect the datasets, fully cognizant of the potential pitfalls and the serendipitous surprises that awaited us. What emerged from this statistical scrutiny is nothing short of astounding – a correlation coefficient of 0.9689367, accompanied by a p-value of less than 0.01, signaling a robust and statistically significant relationship.

Our findings beckon the astute mind to ponder the transcendental connections that may sway the winds of change, even in the realm of nomenclature. While we tread cautiously in attributing causality to this unexpected harmony, the enduring resonance of Arthur's popularity and wind's generative prowess refuses to be dismissed as mere happenstance.

In the words of renowned author Douglas Adams, "Let's think the unthinkable, let's do the undoable. Let us prepare to grapple with the ineffable itself, and see if we may not eff it after all." Thus, we invite our esteemed colleagues and discerning readers to join us in unpacking the whimsical web of connections that defy conventional expectations, fostering a scientific curiosity that transcends the boundaries of the ordinary.


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 Popularity of the first name Arthur and Wind power generated in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand

[[ABSTRACT]]
In this study, we sought to investigate the peculiar relationship between the popularity of the first name Arthur and wind power generation in Thailand. Using data from the US Social Security Administration to track the frequency of the name Arthur and data from the Energy Information Administration to assess wind power generation in Thailand, we conducted a correlational analysis covering the years 1998 to 2021. The findings revealed a striking correlation coefficient of 0.9689367 and a statistically significant p-value of less than 0.01. While not implying a causal relationship, this unexpected connection raises intriguing questions and sparks the imagination, leaving us pondering the whimsical ways in which the wind may whisper the name Arthur across distant lands.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The study of correlations between seemingly unrelated phenomena has long fascinated researchers, leading them down whimsical and unexpected paths. In the realm of nomenclature and renewable energy, our investigation delves into the intriguing connection between the popularity of the first name Arthur and wind power generation in the tropical haven of Thailand. While many may scoff at the notion of such a seemingly ludicrous association, we cherish the peculiar and the peculiar often rewards our pursuit with fascinating discoveries – or at the very least, a good laugh.
The whimsical hypothesis underlying this investigation sprouted from a chance conversation over coffee, where one of the researchers mused, “Wouldn't it be amusing if there were a correlation between the gusts of wind and the gusts of whispers of the name Arthur?” Thus, in the spirit of scientific inquiry and a healthy dose of curiosity, we embarked on this scholarly adventure to probe the mysterious ties that may bind the moniker 'Arthur' and the ethereal dance of wind turbines.
Unraveling the enigma begins with an exploration of the data sources at our disposal. We utilized the comprehensive records of the US Social Security Administration to track the frequency of the name Arthur from 1998 to 2021, establishing a robust foundation for our investigation. Aligning this lexical pursuit with the energetically charged world of sustainable power, we turned to the Energy Information Administration's data on wind power generation in Thailand, seeking to capture the ebb and flow of wind-driven electricity production.
As stalwart proponents of methodological rigor, we employed a correlational analysis to dissect the datasets, fully cognizant of the potential pitfalls and the serendipitous surprises that awaited us. What emerged from this statistical scrutiny is nothing short of astounding – a correlation coefficient of 0.9689367, accompanied by a p-value of less than 0.01, signaling a robust and statistically significant relationship.
Our findings beckon the astute mind to ponder the transcendental connections that may sway the winds of change, even in the realm of nomenclature. While we tread cautiously in attributing causality to this unexpected harmony, the enduring resonance of Arthur's popularity and wind's generative prowess refuses to be dismissed as mere happenstance.
In the words of renowned author Douglas Adams, "Let's think the unthinkable, let's do the undoable. Let us prepare to grapple with the ineffable itself, and see if we may not eff it after all." Thus, we invite our esteemed colleagues and discerning readers to join us in unpacking the whimsical web of connections that defy conventional expectations, fostering a scientific curiosity that transcends the boundaries of the ordinary.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The exploration of unexpected correlations has been a longstanding pursuit in the annals of research, with scholars endeavoring to unravel the whimsical interplay between seemingly disparate phenomena. The study at hand, delving into the potential relationship between the popularity of the first name Arthur and wind power generation in Thailand, echoes this tradition of venturing into the uncharted territory of unlikely associations.

Smith and Doe (2015) conducted a comprehensive analysis of naming trends and renewable energy production, shedding light on the intriguing interconnections that may lie beneath the surface of seemingly unrelated domains. Similarly, Jones (2018) expounded upon the enigmatic allure of nomenclature and its potential resonance with natural phenomena, offering a poignant reminder that the whims of chance may lead to serendipitous revelations.

In "The Wind and the Name: A Whimsical Chronicle" (2020), the authors embarked on a literary journey to decipher the ethereal whispers carried by the wind, drawing subtle parallels to the dissemination of names across geographic boundaries. This delightful work invites readers to contemplate the playful dance of language and nature, beckoning us to ponder the mysterious ways in which the winds may carry the echoes of human identity.

In contrast to these scholarly pursuits, the fictional realm has also proffered its own musings on the intertwining themes of nomenclature and environmental forces. Works such as "The Breezy Moniker" and "Zephyr's Whispers: A Tale of Name and Nature" offer whimsical narratives that, while not grounded in empirical evidence, capture the imaginative allure of intertwining gusts of wind and human monikers.

Furthermore, cinematic portrayals of environmental phenomena have provided captivating visual portrayals of the elemental forces at play. Films such as "Wind Whispers" and "Breezy Bonds: A Name's Tale" showcase the evocative power of wind as it weaves through landscapes, subtly stirring the subconscious and evoking a sense of intrigue about the unseen connections that may influence our daily lives.

As we traverse the landscape of literature and popular culture, the salient threads of connection between names and natural forces emerge as a recurring motif, underscoring the perpetual fascination with the whimsical and unexpected. It is in this spirit of inquiry and mirth that we endeavor to unravel the enigmatic union of the name Arthur and the wind's generative might, inviting our readers to engage in a scholarly exploration that transcends the confines of traditional paradigms.


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 Popularity of the first name Arthur and Wind power generated in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 Energy Information Administration . You used data from 1998 to 2021

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand

[[ABSTRACT]]
In this study, we sought to investigate the peculiar relationship between the popularity of the first name Arthur and wind power generation in Thailand. Using data from the US Social Security Administration to track the frequency of the name Arthur and data from the Energy Information Administration to assess wind power generation in Thailand, we conducted a correlational analysis covering the years 1998 to 2021. The findings revealed a striking correlation coefficient of 0.9689367 and a statistically significant p-value of less than 0.01. While not implying a causal relationship, this unexpected connection raises intriguing questions and sparks the imagination, leaving us pondering the whimsical ways in which the wind may whisper the name Arthur across distant lands.

[[INTRODUCTION]]
The study of correlations between seemingly unrelated phenomena has long fascinated researchers, leading them down whimsical and unexpected paths. In the realm of nomenclature and renewable energy, our investigation delves into the intriguing connection between the popularity of the first name Arthur and wind power generation in the tropical haven of Thailand. While many may scoff at the notion of such a seemingly ludicrous association, we cherish the peculiar and the peculiar often rewards our pursuit with fascinating discoveries – or at the very least, a good laugh.
The whimsical hypothesis underlying this investigation sprouted from a chance conversation over coffee, where one of the researchers mused, “Wouldn't it be amusing if there were a correlation between the gusts of wind and the gusts of whispers of the name Arthur?” Thus, in the spirit of scientific inquiry and a healthy dose of curiosity, we embarked on this scholarly adventure to probe the mysterious ties that may bind the moniker 'Arthur' and the ethereal dance of wind turbines.
Unraveling the enigma begins with an exploration of the data sources at our disposal. We utilized the comprehensive records of the US Social Security Administration to track the frequency of the name Arthur from 1998 to 2021, establishing a robust foundation for our investigation. Aligning this lexical pursuit with the energetically charged world of sustainable power, we turned to the Energy Information Administration's data on wind power generation in Thailand, seeking to capture the ebb and flow of wind-driven electricity production.
As stalwart proponents of methodological rigor, we employed a correlational analysis to dissect the datasets, fully cognizant of the potential pitfalls and the serendipitous surprises that awaited us. What emerged from this statistical scrutiny is nothing short of astounding – a correlation coefficient of 0.9689367, accompanied by a p-value of less than 0.01, signaling a robust and statistically significant relationship.
Our findings beckon the astute mind to ponder the transcendental connections that may sway the winds of change, even in the realm of nomenclature. While we tread cautiously in attributing causality to this unexpected harmony, the enduring resonance of Arthur's popularity and wind's generative prowess refuses to be dismissed as mere happenstance.
In the words of renowned author Douglas Adams, "Let's think the unthinkable, let's do the undoable. Let us prepare to grapple with the ineffable itself, and see if we may not eff it after all." Thus, we invite our esteemed colleagues and discerning readers to join us in unpacking the whimsical web of connections that defy conventional expectations, fostering a scientific curiosity that transcends the boundaries of the ordinary.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the enigmatic bond between the popularity of the name Arthur and the wind-generated power in the captivating landscape of Thailand, our research team embarked on a methodological escapade as beguiling as the very correlation we aimed to investigate.

Data Collection:
In our pursuit of the elusive connection between the name Arthur and wind power generation, we diligently scoured the vast expanses of the internet, navigating through the digital windswept plains and verdant databases. Our primary sources consisted of data from the US Social Security Administration, where we gleaned the statistical frequencies of the name Arthur from the years 1998 to 2021. Embracing the wind's capricious nature, we gathered information on wind power generation in Thailand from the Energy Information Administration, capturing the windswept dance of renewable energy from the same period.

Correlational Analysis:
The rhythmic dance between Arthur's popularity and the wind's generative prowess was scrutinized through the lens of a robust correlational analysis. We plumbed the depths of statistical significance, recognizing the whimsical dimensions that hinted at an underlying connection between these seemingly unrelated variables.

Statistical Rigor and Puns:
In the spirit of scientific jocularity, we employed an array of statistical techniques that would have made our data analysis the life of the academic party. Our statistical arsenal included Pearson's correlation coefficient, which unfurled a value of 0.9689367, leaving us winded by its strength. Furthermore, the p-value of less than 0.01 stood as a sentinel of statistical significance, beckoning us to reckon with the surprising harmony between the resonance of the name Arthur and the gentle caress of the wind.

While our analysis resists the allure of attributing causality to this delightful correlation, we invite the scientific community to revel in the whimsical confluence of nomenclature and renewable energy. As we conclude this methodological odyssey, we trust that our findings will inspire further investigations into the playful and unexpected connections that permeate the fabric of our world. After all, who would have thought that the winds of Thailand would carry the playful whispers of Arthur across distant lands?

In the celebrated words of A. A. Milne, "One of the advantages of being disorganized is that one is always having surprising discoveries." And oh, what a surprising discovery it has been.


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 Popularity of the first name Arthur and Wind power generated in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 Energy Information Administration .

For the time period 1998 to 2021, you found a correlation 0.9689367, r-squared of 0.9388383, 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]]
Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand

[[ABSTRACT]]
In this study, we sought to investigate the peculiar relationship between the popularity of the first name Arthur and wind power generation in Thailand. Using data from the US Social Security Administration to track the frequency of the name Arthur and data from the Energy Information Administration to assess wind power generation in Thailand, we conducted a correlational analysis covering the years 1998 to 2021. The findings revealed a striking correlation coefficient of 0.9689367 and a statistically significant p-value of less than 0.01. While not implying a causal relationship, this unexpected connection raises intriguing questions and sparks the imagination, leaving us pondering the whimsical ways in which the wind may whisper the name Arthur across distant lands.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The study of correlations between seemingly unrelated phenomena has long fascinated researchers, leading them down whimsical and unexpected paths. In the realm of nomenclature and renewable energy, our investigation delves into the intriguing connection between the popularity of the first name Arthur and wind power generation in the tropical haven of Thailand. While many may scoff at the notion of such a seemingly ludicrous association, we cherish the peculiar and the peculiar often rewards our pursuit with fascinating discoveries – or at the very least, a good laugh.
The whimsical hypothesis underlying this investigation sprouted from a chance conversation over coffee, where one of the researchers mused, “Wouldn't it be amusing if there were a correlation between the gusts of wind and the gusts of whispers of the name Arthur?” Thus, in the spirit of scientific inquiry and a healthy dose of curiosity, we embarked on this scholarly adventure to probe the mysterious ties that may bind the moniker 'Arthur' and the ethereal dance of wind turbines.
Unraveling the enigma begins with an exploration of the data sources at our disposal. We utilized the comprehensive records of the US Social Security Administration to track the frequency of the name Arthur from 1998 to 2021, establishing a robust foundation for our investigation. Aligning this lexical pursuit with the energetically charged world of sustainable power, we turned to the Energy Information Administration's data on wind power generation in Thailand, seeking to capture the ebb and flow of wind-driven electricity production.
As stalwart proponents of methodological rigor, we employed a correlational analysis to dissect the datasets, fully cognizant of the potential pitfalls and the serendipitous surprises that awaited us. What emerged from this statistical scrutiny is nothing short of astounding – a correlation coefficient of 0.9689367, accompanied by a p-value of less than 0.01, signaling a robust and statistically significant relationship.
Our findings beckon the astute mind to ponder the transcendental connections that may sway the winds of change, even in the realm of nomenclature. While we tread cautiously in attributing causality to this unexpected harmony, the enduring resonance of Arthur's popularity and wind's generative prowess refuses to be dismissed as mere happenstance.
In the words of renowned author Douglas Adams, "Let's think the unthinkable, let's do the undoable. Let us prepare to grapple with the ineffable itself, and see if we may not eff it after all." Thus, we invite our esteemed colleagues and discerning readers to join us in unpacking the whimsical web of connections that defy conventional expectations, fostering a scientific curiosity that transcends the boundaries of the ordinary.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The study unearthed a noteworthy relationship between the popularity of the first name Arthur and wind power generation in the balmy environs of Thailand. Our statistical analysis revealed a striking correlation coefficient of 0.9689367, indicating a robust positive relationship between these seemingly disparate variables. Additionally, with an r-squared value of 0.9388383, we can confidently assert that approximately 93.88% of the variability in wind power generation in Thailand can be explained by the popularity of the name Arthur. The p-value of less than 0.01 further cements the significance of this correlation, giving us solid ground to stand on as we navigate the whimsical winds of statistical inference.

The visually persuasive Fig. 1, presented in the following section, depicts the scatterplot that aptly captures the strong correlation observed in our analysis. As the plot visually articulates, the data points coalesce into a compelling pattern, telling a tale of their own that beckons the inquisitive mind to contemplate the unexpected ties that bind the eponymous moniker 'Arthur' and the serene but potent power of wind in Thailand. This unforeseen convergence of nomenclature and renewable energy evokes both bemusement and fascination, sparking contemplation on the subtle and curious ways in which the universe weaves its intricate patterns.

Our findings, while undoubtedly intriguing, must be approached with caution, as correlation does not imply causation. Nonetheless, this entwining of Arthur's popularity and the generation of wind power in Thailand initiates a captivating conversation about the whimsical intersections of human culture and natural phenomena. As we peer into the windswept horizon of this unconventional correlation, we are reminded that the scientific landscape often holds surprising delights, waiting to be discovered by those who dare to look beyond the conventional boundaries of inquiry.


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 Popularity of the first name Arthur and Wind power generated in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand

[[ABSTRACT]]
In this study, we sought to investigate the peculiar relationship between the popularity of the first name Arthur and wind power generation in Thailand. Using data from the US Social Security Administration to track the frequency of the name Arthur and data from the Energy Information Administration to assess wind power generation in Thailand, we conducted a correlational analysis covering the years 1998 to 2021. The findings revealed a striking correlation coefficient of 0.9689367 and a statistically significant p-value of less than 0.01. While not implying a causal relationship, this unexpected connection raises intriguing questions and sparks the imagination, leaving us pondering the whimsical ways in which the wind may whisper the name Arthur across distant lands.

[[LITERATURE REVIEW]]
The exploration of unexpected correlations has been a longstanding pursuit in the annals of research, with scholars endeavoring to unravel the whimsical interplay between seemingly disparate phenomena. The study at hand, delving into the potential relationship between the popularity of the first name Arthur and wind power generation in Thailand, echoes this tradition of venturing into the uncharted territory of unlikely associations.
Smith and Doe (2015) conducted a comprehensive analysis of naming trends and renewable energy production, shedding light on the intriguing interconnections that may lie beneath the surface of seemingly unrelated domains. Similarly, Jones (2018) expounded upon the enigmatic allure of nomenclature and its potential resonance with natural phenomena, offering a poignant reminder that the whims of chance may lead to serendipitous revelations.
In "The Wind and the Name: A Whimsical Chronicle" (2020), the authors embarked on a literary journey to decipher the ethereal whispers carried by the wind, drawing subtle parallels to the dissemination of names across geographic boundaries. This delightful work invites readers to contemplate the playful dance of language and nature, beckoning us to ponder the mysterious ways in which the winds may carry the echoes of human identity.
In contrast to these scholarly pursuits, the fictional realm has also proffered its own musings on the intertwining themes of nomenclature and environmental forces. Works such as "The Breezy Moniker" and "Zephyr's Whispers: A Tale of Name and Nature" offer whimsical narratives that, while not grounded in empirical evidence, capture the imaginative allure of intertwining gusts of wind and human monikers.
Furthermore, cinematic portrayals of environmental phenomena have provided captivating visual portrayals of the elemental forces at play. Films such as "Wind Whispers" and "Breezy Bonds: A Name's Tale" showcase the evocative power of wind as it weaves through landscapes, subtly stirring the subconscious and evoking a sense of intrigue about the unseen connections that may influence our daily lives.
As we traverse the landscape of literature and popular culture, the salient threads of connection between names and natural forces emerge as a recurring motif, underscoring the perpetual fascination with the whimsical and unexpected. It is in this spirit of inquiry and mirth that we endeavor to unravel the enigmatic union of the name Arthur and the wind's generative might, inviting our readers to engage in a scholarly exploration that transcends the confines of traditional paradigms.

[[RESULTS]]
The study unearthed a noteworthy relationship between the popularity of the first name Arthur and wind power generation in the balmy environs of Thailand. Our statistical analysis revealed a striking correlation coefficient of 0.9689367, indicating a robust positive relationship between these seemingly disparate variables. Additionally, with an r-squared value of 0.9388383, we can confidently assert that approximately 93.88% of the variability in wind power generation in Thailand can be explained by the popularity of the name Arthur. The p-value of less than 0.01 further cements the significance of this correlation, giving us solid ground to stand on as we navigate the whimsical winds of statistical inference.
The visually persuasive Fig. 1, presented in the following section, depicts the scatterplot that aptly captures the strong correlation observed in our analysis. As the plot visually articulates, the data points coalesce into a compelling pattern, telling a tale of their own that beckons the inquisitive mind to contemplate the unexpected ties that bind the eponymous moniker 'Arthur' and the serene but potent power of wind in Thailand. This unforeseen convergence of nomenclature and renewable energy evokes both bemusement and fascination, sparking contemplation on the subtle and curious ways in which the universe weaves its intricate patterns.
Our findings, while undoubtedly intriguing, must be approached with caution, as correlation does not imply causation. Nonetheless, this entwining of Arthur's popularity and the generation of wind power in Thailand initiates a captivating conversation about the whimsical intersections of human culture and natural phenomena. As we peer into the windswept horizon of this unconventional correlation, we are reminded that the scientific landscape often holds surprising delights, waiting to be discovered by those who dare to look beyond the conventional boundaries of inquiry.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The unexpected correlation between the popularity of the name Arthur and wind power generation in Thailand has piqued our curiosity and tickled our scholarly sensibilities. Our findings not only align with prior research on the enigmatic interplay between seemingly disparate phenomena but also add a whimsical twist to the established discourse.

Drawing from the scholarly oeuvre of Smith and Doe (2015), our study corroborates the notion that naming trends may indeed hold unforeseen resonance with renewable energy production. While the thought of an ethereal bond between Arthur and wind power initially sparked bemusement, our statistically robust correlation coefficient of 0.9689367 lends credence to this wondrous connection. It seems the winds of statistical inference have harmoniously aligned with the musings of scholars, prompting us to revere the whims of chance that underpin this captivating correlation.

In light of Jones's (2018) contemplation on the whimsical allure of nomenclature, our results practically dance with the lighthearted charm of unexpected associations. With an r-squared value of 0.9388383, we find ourselves gazing upon the data with renewed wonder, marveling at the delightful synchronicity we have unearthed. It appears that the wind, in its affectionate embrace of the name Arthur, has effervescently lent its generative might to the landscapes of Thailand, echoing the poetic sentiments expressed in "The Wind and the Name: A Whimsical Chronicle" (2020).

Furthermore, our findings beckon forth the spirits of literary and cinematic conceptions of the interplay between nomenclature and natural forces. Like the evocative scenes in "Breezy Bonds: A Name's Tale," our scatterplot figuratively whispers a saga of its own, weaving an enchanting narrative that harmonizes with the lyrical undertones of unexpected correlations. The formidable p-value of less than 0.01 serves as a whimsical subplot, conferring a touch of gravitas to our amusing exploration of the unseen ties that bind the eponymous moniker 'Arthur' and the serene but potent power of wind in Thailand.

As we contemplate the playful dance of language and nature, we are keenly aware that correlation does not imply causation. Nevertheless, our lighthearted foray into the whimsical winds of statistical analysis has unveiled a tale of unforeseen resonance, inviting our readers to revel in the serendipitous revelations that often lie beneath the surface of conventional inquiry.


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 Popularity of the first name Arthur and Wind power generated in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand

[[ABSTRACT]]
In this study, we sought to investigate the peculiar relationship between the popularity of the first name Arthur and wind power generation in Thailand. Using data from the US Social Security Administration to track the frequency of the name Arthur and data from the Energy Information Administration to assess wind power generation in Thailand, we conducted a correlational analysis covering the years 1998 to 2021. The findings revealed a striking correlation coefficient of 0.9689367 and a statistically significant p-value of less than 0.01. While not implying a causal relationship, this unexpected connection raises intriguing questions and sparks the imagination, leaving us pondering the whimsical ways in which the wind may whisper the name Arthur across distant lands.

[[INTRDUCTION]]
The study of correlations between seemingly unrelated phenomena has long fascinated researchers, leading them down whimsical and unexpected paths. In the realm of nomenclature and renewable energy, our investigation delves into the intriguing connection between the popularity of the first name Arthur and wind power generation in the tropical haven of Thailand. While many may scoff at the notion of such a seemingly ludicrous association, we cherish the peculiar and the peculiar often rewards our pursuit with fascinating discoveries – or at the very least, a good laugh.
The whimsical hypothesis underlying this investigation sprouted from a chance conversation over coffee, where one of the researchers mused, “Wouldn't it be amusing if there were a correlation between the gusts of wind and the gusts of whispers of the name Arthur?” Thus, in the spirit of scientific inquiry and a healthy dose of curiosity, we embarked on this scholarly adventure to probe the mysterious ties that may bind the moniker 'Arthur' and the ethereal dance of wind turbines.
Unraveling the enigma begins with an exploration of the data sources at our disposal. We utilized the comprehensive records of the US Social Security Administration to track the frequency of the name Arthur from 1998 to 2021, establishing a robust foundation for our investigation. Aligning this lexical pursuit with the energetically charged world of sustainable power, we turned to the Energy Information Administration's data on wind power generation in Thailand, seeking to capture the ebb and flow of wind-driven electricity production.
As stalwart proponents of methodological rigor, we employed a correlational analysis to dissect the datasets, fully cognizant of the potential pitfalls and the serendipitous surprises that awaited us. What emerged from this statistical scrutiny is nothing short of astounding – a correlation coefficient of 0.9689367, accompanied by a p-value of less than 0.01, signaling a robust and statistically significant relationship.
Our findings beckon the astute mind to ponder the transcendental connections that may sway the winds of change, even in the realm of nomenclature. While we tread cautiously in attributing causality to this unexpected harmony, the enduring resonance of Arthur's popularity and wind's generative prowess refuses to be dismissed as mere happenstance.
In the words of renowned author Douglas Adams, "Let's think the unthinkable, let's do the undoable. Let us prepare to grapple with the ineffable itself, and see if we may not eff it after all." Thus, we invite our esteemed colleagues and discerning readers to join us in unpacking the whimsical web of connections that defy conventional expectations, fostering a scientific curiosity that transcends the boundaries of the ordinary.

[[RESULTS]]
The study unearthed a noteworthy relationship between the popularity of the first name Arthur and wind power generation in the balmy environs of Thailand. Our statistical analysis revealed a striking correlation coefficient of 0.9689367, indicating a robust positive relationship between these seemingly disparate variables. Additionally, with an r-squared value of 0.9388383, we can confidently assert that approximately 93.88% of the variability in wind power generation in Thailand can be explained by the popularity of the name Arthur. The p-value of less than 0.01 further cements the significance of this correlation, giving us solid ground to stand on as we navigate the whimsical winds of statistical inference.
The visually persuasive Fig. 1, presented in the following section, depicts the scatterplot that aptly captures the strong correlation observed in our analysis. As the plot visually articulates, the data points coalesce into a compelling pattern, telling a tale of their own that beckons the inquisitive mind to contemplate the unexpected ties that bind the eponymous moniker 'Arthur' and the serene but potent power of wind in Thailand. This unforeseen convergence of nomenclature and renewable energy evokes both bemusement and fascination, sparking contemplation on the subtle and curious ways in which the universe weaves its intricate patterns.
Our findings, while undoubtedly intriguing, must be approached with caution, as correlation does not imply causation. Nonetheless, this entwining of Arthur's popularity and the generation of wind power in Thailand initiates a captivating conversation about the whimsical intersections of human culture and natural phenomena. As we peer into the windswept horizon of this unconventional correlation, we are reminded that the scientific landscape often holds surprising delights, waiting to be discovered by those who dare to look beyond the conventional boundaries of inquiry.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our odyssey through the windswept corridors of statistical inquiry has illuminated an unexpected association between the popularity of the first name Arthur and wind power generation in Thailand. The robust correlation coefficient of 0.9689367 and a p-value of less than 0.01 stand as testament to the whimsical interplay of lexical prominence and sustainable energy production. As we reflect on the ethereal whispers of Arthur carried by the Thai zephyrs, we cannot help but marvel at the capricious dances of statistics and the unanticipated narratives they unfurl.

While our findings may prompt a wry smile or a bemused chuckle, they trim and tantalize the intellectual palate, inviting contemplation of the improbable links that enliven the scientific landscape. This confluence of Arthur's charm and the gusts of wind power prompts us to acknowledge the whimsy that often underpins the most earnest of research endeavors, reminding us to embrace the quirks and curiosities that abound in the pursuit of knowledge.

However, as much as we are tempted to linger in the whimsical embrace of this correlation, we recognize the need to exercise caution in ascribing causality to this unforeseen connection. Therefore, we unequivocally assert that the pursuit of further research in this domain may yield diminishing returns, akin to chasing a fleeting breeze or pursuing an elusive whisper. In the spirit of scientific mirth and prudent inquiry, we opine that this harmonious dalliance between Arthur and wind power in Thailand is a delightful anomaly that requires no further elucidation. With that, we bid adieu to this whimsical chapter in our scholarly pursuits, confident in the enduring fascination it elicits and the unexpected smiles it may bring to the faces of our esteemed colleagues and discerning readers.


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 Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand. Respond only with the name of a fictional academic journal.

ChatGPT:

The International Journal of Zephyr 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 Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Research and Academic Exploration (SQUARE)


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 Blowin' in the Arthur: A Correlational Study of the Popularity of the Name Arthur and Wind Power Generation in Thailand with an abstract of In this study, we sought to investigate the peculiar relationship between the popularity of the first name Arthur and wind power generation in Thailand. Using data from the US Social Security Administration to track the frequency of the name Arthur and data from the Energy Information Administration to assess wind power generation in Thailand, we conducted a correlational analysis covering the years 1998 to 2021. The findings revealed a striking correlation coefficient of 0.9689367 and a statistically significant p-value of less than 0.01. While not implying a causal relationship, this unexpected connection raises intriguing questions and sparks the imagination, leaving us pondering the whimsical ways in which the wind may whisper the name Arthur across distant lands.

ChatGPT:

popularity of the name Arthur, wind power generation, Thailand, correlational study, US Social Security Administration data, Energy Information Administration data, wind power trends, correlation coefficient, p-value, name frequency analysis

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

Wind power generated in Thailand
Detailed data title: Total wind power generated in Thailand in billion kWh
Source: Energy Information Administration
See what else correlates with Wind power generated in Thailand

Correlation r = 0.9689367 (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 = 0.9388383 (Coefficient of determination)
This means 93.9% of the change in the one variable (i.e., Wind power generated in Thailand) is predictable based on the change in the other (i.e., Popularity of the first name Arthur) over the 24 years from 1998 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 7.8E-15. 0.0000000000000077553611941257
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.97 in 7.8E-13% of random cases. Said differently, if you correlated 128,943,059,513,134 random variables You don't actually need 128 trillion 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 23 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 23 because we have two variables measured over a period of 24 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.

[ 0.93, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021
Popularity of the first name Arthur (Babies born)983874914881844795792830792819862811728893865103011511246134915131650219023332473
Wind power generated in Thailand (Billion kWh)0.00040.00030.00030.00030.00030.00030.00030.00080.0009000.0010.0010.0050.1410.3050.3050.3290.3451.111.6413.673.224.301




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.
  4. Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.




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([983,874,914,881,844,795,792,830,792,819,862,811,728,893,865,1030,1151,1246,1349,1513,1650,2190,2333,2473,])
array_2 = np.array([0.0004,0.0003,0.0003,0.0003,0.0003,0.0003,0.0003,0.0008,0.0009,0,0,0.001,0.001,0.005,0.141,0.305,0.305,0.329,0.345,1.11,1.641,3.67,3.22,4.301,])
array_1_name = "Popularity of the first name Arthur"
array_2_name = "Wind power generated in Thailand"

# 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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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: 3600 · Black Variable ID: 2534 · Red Variable ID: 24032
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