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Spurious correlation #1,402 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Viewership of The Big Bang Theory and the second variable is Google searches for 'how to make baby'.  The chart goes from 2008 to 2019, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As more people tuned in to watch The Big Bang Theory, they couldn't help but be influenced by all the talk of theoretical physics and geeky romance. With all that intellectual and romantic stimulation, it's no wonder there was a sudden surge in people trying to figure out the mechanics of baby-making!

Model: dalle-3
Prompt: Prompt: Create an image in the style of pop art featuring a group of couples holding hands and gazing lovingly at each other in front of a vibrant collage of TV screens displaying "The Big Bang Theory." In the background, a computer screen shows multiple open tabs with searches related to procreation, as if inspired by the TV show. The overall scene should be bright and colorful, capturing the energetic and playful essence of pop art. Feel free to specify any additional details or adjustments you'd like for the prompt! 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: Viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. 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: a meme Cute 2D animation Cutsy art illustration Pop art Cyberpunk
ChatGPT: Pop art

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 Viewership of "The Big Bang Theory" and Google searches for 'how to make baby', in the following situation: As more people tuned in to watch "The Big Bang Theory," they were inadvertently exposed to high levels of nerdy pheromones, leading to an unexpected surge in the desire to procreate and pass on their quirky humor genes.. Keep the description simple.
ChatGPT: Amidst the glow of TV screens showing "The Big Bang Theory," couples are seen holding hands, gazing at each other with adoring smiles. In the background, a computer screen displays numerous tabs open to searches for "how to make baby", as if the urge to procreate was sparked by the humorous antics of the TV show.

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: [ Pop art ] and depicting this scene: Amidst the glow of TV screens showing "The Big Bang Theory," couples are seen holding hands, gazing at each other with adoring smiles. In the background, a computer screen displays numerous tabs open to searches for "how to make baby", as if the urge to procreate was sparked by the humorous antics of the TV show. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Create an image in the style of pop art featuring a group of couples holding hands and gazing lovingly at each other in front of a vibrant collage of TV screens displaying "The Big Bang Theory." In the background, a computer screen shows multiple open tabs with searches related to procreation, as if inspired by the TV show. The overall scene should be bright and colorful, capturing the energetic and playful essence of pop art. Feel free to specify any additional details or adjustments you'd like for the prompt!

*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 Viewership of "The Big Bang Theory" caused how to make baby (Google searches for 'how to make baby') to increase.

AI academic paper

(Because p < 0.01)
The Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques

Journal of Popular Culture Psychology

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 Viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title seem clever.

Your research team used data from Wikipedia and Google Trends to assess this nagging question. You found a correlation coefficient of 0.9825046 and p < 0.01 for 2008 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 Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques

[[ABSTRACT]]
This paper investigates the fascinating and at times perplexing relationship between viewership of the hit television show "The Big Bang Theory" and the frequency of Google searches for information related to procreation. Leveraging data from Wikipedia and Google Trends, our research team sought to shed light on the potential influence of a popular sitcom on reproductive inquiries. Through rigorous statistical analysis, we uncovered a strikingly high correlation coefficient of 0.9825046 and a statistically significant p-value of less than 0.01 over the period from 2008 to 2019, suggesting a strong linkage between the comical exploits of physicists and the curiosity about making babies. We delve into the nuances of this unexpected coalescence, offering both serious insight and playful musings on the intersection of popular culture and procreation-related information-seeking behavior. This study not only furthers our understanding of the interplay between entertainment consumption and reproductive interests but also provides a lighthearted glimpse into the whimsical side of research inquiry.


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 Viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
The Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques

[[ABSTRACT]]
This paper investigates the fascinating and at times perplexing relationship between viewership of the hit television show "The Big Bang Theory" and the frequency of Google searches for information related to procreation. Leveraging data from Wikipedia and Google Trends, our research team sought to shed light on the potential influence of a popular sitcom on reproductive inquiries. Through rigorous statistical analysis, we uncovered a strikingly high correlation coefficient of 0.9825046 and a statistically significant p-value of less than 0.01 over the period from 2008 to 2019, suggesting a strong linkage between the comical exploits of physicists and the curiosity about making babies. We delve into the nuances of this unexpected coalescence, offering both serious insight and playful musings on the intersection of popular culture and procreation-related information-seeking behavior. This study not only furthers our understanding of the interplay between entertainment consumption and reproductive interests but also provides a lighthearted glimpse into the whimsical side of research inquiry.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
INTRODUCTION

The interaction between media consumption and human behavior has long captivated the interest of researchers across various disciplines. From the influence of advertisements on consumer choices to the impact of televised events on social attitudes, the interplay between popular culture and individual actions has been the subject of extensive scholarly inquiry. Amidst this backdrop, our research endeavors to unravel a rather peculiar association - the potential relationship between viewership of the television show "The Big Bang Theory" and the frequency of online searches for information related to procreation.

As viewers around the globe reveled in the comical antics of physicists Leonard, Sheldon, and their eclectic group of friends, a curiosity blossomed around a curious phenomenon - the occurrence of a notable surge in Google searches for 'how to make baby' coinciding with the airing of episodes from the beloved sitcom. The inquiry leading our investigation was not only veiled in amusement but also sparked by a genuine interest in understanding the underlying mechanisms driving such an unexpected synchronization.

Leveraging data from Wikipedia and Google Trends, we sought to untangle this enigma and probe the potential impact of a cultural sensation on the human procreative imagination. Our approach blends rigorous statistical analyses and a sprinkle of levity, acknowledging the gravity of the correlation while leaving room for lighthearted contemplation on the intriguing intertwining of pop culture and procreation-related information-seeking behavior.

Let us embark on this journey, not only to unravel statistical patterns and correlations but also to revel in the delightful whimsy of a research inquiry that ventures into the charmingly unexpected territory of "The Big Bang Theory" and the pursuit of procreation-related knowledge. We invite our readers to join us in this scholarly escapade, where serious inquiry meets the joyous curiosity of the human spirit.


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 Viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
The Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques

[[ABSTRACT]]
This paper investigates the fascinating and at times perplexing relationship between viewership of the hit television show "The Big Bang Theory" and the frequency of Google searches for information related to procreation. Leveraging data from Wikipedia and Google Trends, our research team sought to shed light on the potential influence of a popular sitcom on reproductive inquiries. Through rigorous statistical analysis, we uncovered a strikingly high correlation coefficient of 0.9825046 and a statistically significant p-value of less than 0.01 over the period from 2008 to 2019, suggesting a strong linkage between the comical exploits of physicists and the curiosity about making babies. We delve into the nuances of this unexpected coalescence, offering both serious insight and playful musings on the intersection of popular culture and procreation-related information-seeking behavior. This study not only furthers our understanding of the interplay between entertainment consumption and reproductive interests but also provides a lighthearted glimpse into the whimsical side of research inquiry.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The interaction between media consumption and human behavior has long captivated the interest of researchers across various disciplines. From the influence of advertisements on consumer choices to the impact of televised events on social attitudes, the interplay between popular culture and individual actions has been the subject of extensive scholarly inquiry. Amidst this backdrop, our research endeavors to unravel a rather peculiar association - the potential relationship between viewership of the television show "The Big Bang Theory" and the frequency of online searches for information related to procreation.
As viewers around the globe reveled in the comical antics of physicists Leonard, Sheldon, and their eclectic group of friends, a curiosity blossomed around a curious phenomenon - the occurrence of a notable surge in Google searches for 'how to make baby' coinciding with the airing of episodes from the beloved sitcom. The inquiry leading our investigation was not only veiled in amusement but also sparked by a genuine interest in understanding the underlying mechanisms driving such an unexpected synchronization.
Leveraging data from Wikipedia and Google Trends, we sought to untangle this enigma and probe the potential impact of a cultural sensation on the human procreative imagination. Our approach blends rigorous statistical analyses and a sprinkle of levity, acknowledging the gravity of the correlation while leaving room for lighthearted contemplation on the intriguing intertwining of pop culture and procreation-related information-seeking behavior.
Let us embark on this journey, not only to unravel statistical patterns and correlations but also to revel in the delightful whimsy of a research inquiry that ventures into the charmingly unexpected territory of "The Big Bang Theory" and the pursuit of procreation-related knowledge. We invite our readers to join us in this scholarly escapade, where serious inquiry meets the joyous curiosity of the human spirit.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The influence of popular culture on human behavior has been a subject of considerable interest in the scholarly community. The burgeoning field of media effects research has delved into the impact of televised content on various facets of human behavior, ranging from consumer choices to social attitudes. In the context of procreative behavior and information-seeking, the relationship between viewership of popular media and inquiries related to reproduction presents a curious avenue for exploration. As researchers have sought to understand this intriguing phenomenon, a diverse body of literature has emerged, providing insights that range from the earnest to the whimsical.

Smith and Doe (2015) examined the impact of television viewership on searches for procreation-related information, uncovering a positive association between exposure to popular sitcoms and an uptick in online inquiries regarding reproduction. Jones et al. (2018) further expounded on this relationship, demonstrating a correlation between the consumption of humorous content and curiosity about family planning. These studies underscore the potential influence of entertainment media on reproductive interests, laying the groundwork for our investigation into the connection between "The Big Bang Theory" and online searches for baby-making techniques.

Expanding beyond empirical research, the literature on popular culture and procreation encompasses a variety of perspectives. "The Evolution of Baby-Making: A Cultural Analysis" by Adams (2017) provides a comprehensive examination of societal attitudes towards procreation, drawing intriguing parallels to the portrayal of parenthood in popular media. Similarly, "Reproductive Realms: Fictional Narratives and Fertility Fantasies" by Brown (2019) offers a compelling exploration of procreative themes in fictional works, shedding light on the intersection of media, imagination, and reproductive discourse.

Turning to the realm of fiction, "The Fertility Conundrum: A Novel Approach" by Grayson (2016) presents a whimsical tale of characters navigating the complexities of procreation in a world shaped by popular culture. While fictional narratives may offer escapist diversions, they often reflect societal preoccupations with reproductive matters, drawing implicit connections to the influence of media consumption on procreative contemplations.

In a more contemporary context, social media platforms have become arenas for the expression of procreative musings. A tweet by @CuriousParent (2019) captured the zeitgeist of a generation seeking to reconcile popular culture with the intricacies of parenthood, echoing the thematic undercurrents of our investigation into the coalescence of "The Big Bang Theory" viewership and searches for baby-making information. Such anecdotal expressions on social media platforms provide glimpses into the intersection of popular culture and procreative curiosity, weaving a tapestry of diverse perspectives that resonate with our exploration.

As we navigate the landscape of literature pertaining to the influence of popular culture on procreative interests, we encounter a rich tapestry of perspectives that merge the serious and the lighthearted, inviting us to ponder the multifaceted relationship between media consumption and the pursuit of procreation-related knowledge. In the subsequent sections of this paper, we embark on a journey to unravel the peculiar correlation between "The Big Bang Theory" and online searches for baby-making techniques, embracing the scholarly discourse while reveling in the whimsy of this unexpected scholarly pursuit.


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 Viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Wikipedia and Google Trends . You used data from 2008 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 Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques

[[ABSTRACT]]
This paper investigates the fascinating and at times perplexing relationship between viewership of the hit television show "The Big Bang Theory" and the frequency of Google searches for information related to procreation. Leveraging data from Wikipedia and Google Trends, our research team sought to shed light on the potential influence of a popular sitcom on reproductive inquiries. Through rigorous statistical analysis, we uncovered a strikingly high correlation coefficient of 0.9825046 and a statistically significant p-value of less than 0.01 over the period from 2008 to 2019, suggesting a strong linkage between the comical exploits of physicists and the curiosity about making babies. We delve into the nuances of this unexpected coalescence, offering both serious insight and playful musings on the intersection of popular culture and procreation-related information-seeking behavior. This study not only furthers our understanding of the interplay between entertainment consumption and reproductive interests but also provides a lighthearted glimpse into the whimsical side of research inquiry.

[[INTRODUCTION]]
INTRODUCTION
The interaction between media consumption and human behavior has long captivated the interest of researchers across various disciplines. From the influence of advertisements on consumer choices to the impact of televised events on social attitudes, the interplay between popular culture and individual actions has been the subject of extensive scholarly inquiry. Amidst this backdrop, our research endeavors to unravel a rather peculiar association - the potential relationship between viewership of the television show "The Big Bang Theory" and the frequency of online searches for information related to procreation.
As viewers around the globe reveled in the comical antics of physicists Leonard, Sheldon, and their eclectic group of friends, a curiosity blossomed around a curious phenomenon - the occurrence of a notable surge in Google searches for 'how to make baby' coinciding with the airing of episodes from the beloved sitcom. The inquiry leading our investigation was not only veiled in amusement but also sparked by a genuine interest in understanding the underlying mechanisms driving such an unexpected synchronization.
Leveraging data from Wikipedia and Google Trends, we sought to untangle this enigma and probe the potential impact of a cultural sensation on the human procreative imagination. Our approach blends rigorous statistical analyses and a sprinkle of levity, acknowledging the gravity of the correlation while leaving room for lighthearted contemplation on the intriguing intertwining of pop culture and procreation-related information-seeking behavior.
Let us embark on this journey, not only to unravel statistical patterns and correlations but also to revel in the delightful whimsy of a research inquiry that ventures into the charmingly unexpected territory of "The Big Bang Theory" and the pursuit of procreation-related knowledge. We invite our readers to join us in this scholarly escapade, where serious inquiry meets the joyous curiosity of the human spirit.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

METHODOLOGY

Data Collection and Processing

Our research team embarked on a quest through the untamed wilderness of the internet, armed with the singular goal of capturing the elusive relationship between viewership of "The Big Bang Theory" and the quirky exploration of procreative knowledge. Much like intrepid explorers, we scoured the vast plains of cyberspace for relevant data from 2008 to 2019, primarily relying on two trusted sources, Wikipedia and Google Trends.

The initial stage of our odyssey involved retrieving viewership data for "The Big Bang Theory" from Wikipedia, meticulously documenting the fluctuations in the show's audience engagement over the years. With data secured under virtual lock and key, we ventured deeper into the digital labyrinth, guided by the whims of Google Trends. Here, we sought out the frequency of searches for the query "how to make baby," decrypting the ebb and flow of procreative inquiries coinciding with the airing of episodes from the sitcom.

Statistical Analysis

Our analytical endeavors transcended the ordinary, as we employed a masterful blend of statistical wizardry to decipher the enigmatic connection between television entertainment and the pursuit of procreative insights. Using advanced statistical software, we subjected the collected data to rigorous scrutiny, reveling in the dance of numbers as correlation coefficients and p-values gracefully pirouetted across our screens.

The linchpin of our methodology lay in the esoteric arts of cross-correlation analysis, a mystical fusion of time series analysis and correlation techniques. This arcane ritual allowed us to discern temporal patterns and uncover the clandestine embrace between "The Big Bang Theory" viewership and the dalliances of prospective baby-makers, all woven into the sinuous tapestry of online search trends.

Moreover, our statistical arsenal featured the formidable chi-squared test, elegantly probing the significance of association between categorical variables. With an air of scientific gravitas, we scrutinized the p-values emanating from these tests, bestowing upon them a significance threshold that would make even the most discerning statistician nod in approval.

Qualitative Interpretation

Beyond the realm of numerical incantations, we delved into the terrain of qualitative interpretation, donning our metaphorical deerstalker hats to unravel the larger implications of our findings. Our team engaged in extensive discussions, dissecting the implications of this unexpected confluence with a mixture of seriousness and playful banter, striving to distill the essence of this unusually whimsical research odyssey.

In this manner, our methodology invoked both the rigor of scientific inquiry and the spirited quest for understanding the curious interplay of pop culture and procreation-related knowledge, transcending mere data analysis to embrace the multifaceted essence of human curiosity.


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 Viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

For the time period 2008 to 2019, you found a correlation 0.9825046, r-squared of 0.9653152, 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 Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques

[[ABSTRACT]]
This paper investigates the fascinating and at times perplexing relationship between viewership of the hit television show "The Big Bang Theory" and the frequency of Google searches for information related to procreation. Leveraging data from Wikipedia and Google Trends, our research team sought to shed light on the potential influence of a popular sitcom on reproductive inquiries. Through rigorous statistical analysis, we uncovered a strikingly high correlation coefficient of 0.9825046 and a statistically significant p-value of less than 0.01 over the period from 2008 to 2019, suggesting a strong linkage between the comical exploits of physicists and the curiosity about making babies. We delve into the nuances of this unexpected coalescence, offering both serious insight and playful musings on the intersection of popular culture and procreation-related information-seeking behavior. This study not only furthers our understanding of the interplay between entertainment consumption and reproductive interests but also provides a lighthearted glimpse into the whimsical side of research inquiry.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The interaction between media consumption and human behavior has long captivated the interest of researchers across various disciplines. From the influence of advertisements on consumer choices to the impact of televised events on social attitudes, the interplay between popular culture and individual actions has been the subject of extensive scholarly inquiry. Amidst this backdrop, our research endeavors to unravel a rather peculiar association - the potential relationship between viewership of the television show "The Big Bang Theory" and the frequency of online searches for information related to procreation.
As viewers around the globe reveled in the comical antics of physicists Leonard, Sheldon, and their eclectic group of friends, a curiosity blossomed around a curious phenomenon - the occurrence of a notable surge in Google searches for 'how to make baby' coinciding with the airing of episodes from the beloved sitcom. The inquiry leading our investigation was not only veiled in amusement but also sparked by a genuine interest in understanding the underlying mechanisms driving such an unexpected synchronization.
Leveraging data from Wikipedia and Google Trends, we sought to untangle this enigma and probe the potential impact of a cultural sensation on the human procreative imagination. Our approach blends rigorous statistical analyses and a sprinkle of levity, acknowledging the gravity of the correlation while leaving room for lighthearted contemplation on the intriguing intertwining of pop culture and procreation-related information-seeking behavior.
Let us embark on this journey, not only to unravel statistical patterns and correlations but also to revel in the delightful whimsy of a research inquiry that ventures into the charmingly unexpected territory of "The Big Bang Theory" and the pursuit of procreation-related knowledge. We invite our readers to join us in this scholarly escapade, where serious inquiry meets the joyous curiosity of the human spirit.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our investigation into the correlation between viewership of "The Big Bang Theory" and Google searches for 'how to make baby' yielded some intriguing results. The data revealed a remarkably strong correlation coefficient (r) of 0.9825046, indicating a robust relationship between the two variables over the period from 2008 to 2019. The high r-squared value of 0.9653152 further underscores the substantial proportion of variance in procreation-related searches that can be explained by variations in viewership of the sitcom. Additionally, the p-value of less than 0.01 signifies that the observed correlation is statistically significant, supporting the notion of a meaningful association between these seemingly disparate domains.

Figure 1 presents a scatterplot illustrating the compelling correlation between viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. The data points form a strikingly linear pattern, encapsulating the substantial alignment between the two variables.

Our findings illuminate a captivating synergy between the comedic allure of "The Big Bang Theory" and the inquisitive impulses driving online searches for information related to procreation. The remarkably robust correlation not only captivates the mind but also invites us to appreciate the whimsically unexpected connections that permeate the fabric of human behavior.

The unexpected harmony between a popular sitcom and the pursuit of procreation-related knowledge invites contemplation not only of statistical patterns but also of the delightful quirks of human curiosity. As we dive into the nuances of this peculiar correlation, we concurrently revel in the lighthearted wonderment of a research inquiry that transcends the conventional boundaries of scholarly pursuit.


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 Viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
The Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques

[[ABSTRACT]]
This paper investigates the fascinating and at times perplexing relationship between viewership of the hit television show "The Big Bang Theory" and the frequency of Google searches for information related to procreation. Leveraging data from Wikipedia and Google Trends, our research team sought to shed light on the potential influence of a popular sitcom on reproductive inquiries. Through rigorous statistical analysis, we uncovered a strikingly high correlation coefficient of 0.9825046 and a statistically significant p-value of less than 0.01 over the period from 2008 to 2019, suggesting a strong linkage between the comical exploits of physicists and the curiosity about making babies. We delve into the nuances of this unexpected coalescence, offering both serious insight and playful musings on the intersection of popular culture and procreation-related information-seeking behavior. This study not only furthers our understanding of the interplay between entertainment consumption and reproductive interests but also provides a lighthearted glimpse into the whimsical side of research inquiry.

[[LITERATURE REVIEW]]
The influence of popular culture on human behavior has been a subject of considerable interest in the scholarly community. The burgeoning field of media effects research has delved into the impact of televised content on various facets of human behavior, ranging from consumer choices to social attitudes. In the context of procreative behavior and information-seeking, the relationship between viewership of popular media and inquiries related to reproduction presents a curious avenue for exploration. As researchers have sought to understand this intriguing phenomenon, a diverse body of literature has emerged, providing insights that range from the earnest to the whimsical.
Smith and Doe (2015) examined the impact of television viewership on searches for procreation-related information, uncovering a positive association between exposure to popular sitcoms and an uptick in online inquiries regarding reproduction. Jones et al. (2018) further expounded on this relationship, demonstrating a correlation between the consumption of humorous content and curiosity about family planning. These studies underscore the potential influence of entertainment media on reproductive interests, laying the groundwork for our investigation into the connection between "The Big Bang Theory" and online searches for baby-making techniques.
Expanding beyond empirical research, the literature on popular culture and procreation encompasses a variety of perspectives. "The Evolution of Baby-Making: A Cultural Analysis" by Adams (2017) provides a comprehensive examination of societal attitudes towards procreation, drawing intriguing parallels to the portrayal of parenthood in popular media. Similarly, "Reproductive Realms: Fictional Narratives and Fertility Fantasies" by Brown (2019) offers a compelling exploration of procreative themes in fictional works, shedding light on the intersection of media, imagination, and reproductive discourse.
Turning to the realm of fiction, "The Fertility Conundrum: A Novel Approach" by Grayson (2016) presents a whimsical tale of characters navigating the complexities of procreation in a world shaped by popular culture. While fictional narratives may offer escapist diversions, they often reflect societal preoccupations with reproductive matters, drawing implicit connections to the influence of media consumption on procreative contemplations.
In a more contemporary context, social media platforms have become arenas for the expression of procreative musings. A tweet by @CuriousParent (2019) captured the zeitgeist of a generation seeking to reconcile popular culture with the intricacies of parenthood, echoing the thematic undercurrents of our investigation into the coalescence of "The Big Bang Theory" viewership and searches for baby-making information. Such anecdotal expressions on social media platforms provide glimpses into the intersection of popular culture and procreative curiosity, weaving a tapestry of diverse perspectives that resonate with our exploration.
As we navigate the landscape of literature pertaining to the influence of popular culture on procreative interests, we encounter a rich tapestry of perspectives that merge the serious and the lighthearted, inviting us to ponder the multifaceted relationship between media consumption and the pursuit of procreation-related knowledge. In the subsequent sections of this paper, we embark on a journey to unravel the peculiar correlation between "The Big Bang Theory" and online searches for baby-making techniques, embracing the scholarly discourse while reveling in the whimsy of this unexpected scholarly pursuit.

[[RESULTS]]
Our investigation into the correlation between viewership of "The Big Bang Theory" and Google searches for 'how to make baby' yielded some intriguing results. The data revealed a remarkably strong correlation coefficient (r) of 0.9825046, indicating a robust relationship between the two variables over the period from 2008 to 2019. The high r-squared value of 0.9653152 further underscores the substantial proportion of variance in procreation-related searches that can be explained by variations in viewership of the sitcom. Additionally, the p-value of less than 0.01 signifies that the observed correlation is statistically significant, supporting the notion of a meaningful association between these seemingly disparate domains.
Figure 1 presents a scatterplot illustrating the compelling correlation between viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. The data points form a strikingly linear pattern, encapsulating the substantial alignment between the two variables.
Our findings illuminate a captivating synergy between the comedic allure of "The Big Bang Theory" and the inquisitive impulses driving online searches for information related to procreation. The remarkably robust correlation not only captivates the mind but also invites us to appreciate the whimsically unexpected connections that permeate the fabric of human behavior.
The unexpected harmony between a popular sitcom and the pursuit of procreation-related knowledge invites contemplation not only of statistical patterns but also of the delightful quirks of human curiosity. As we dive into the nuances of this peculiar correlation, we concurrently revel in the lighthearted wonderment of a research inquiry that transcends the conventional boundaries of scholarly pursuit.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our investigation offer compelling validation of the prior research that has probed the intriguing relationship between popular culture and procreative inquiry. Building on the works of Smith and Doe (2015) and Jones et al. (2018), our study unveils a substantial association between the viewership of "The Big Bang Theory" and the propensity to seek information on baby-making techniques. The nearly impeccable correlation coefficient of 0.9825046 mirrors the findings of previous studies, affirming the pivotal role of humorous media content in stimulating curiosity about reproductive matters. As we reflect on the unexpected yet robust harmony between a popular sitcom and procreative contemplations, we are reminded of the whimsical capacity of human behavior to forge connections in the most curious of domains.

In contemplating the implications of our findings, it becomes evident that the influence of popular media extends beyond the realms of entertainment, enveloping the nuances of human curiosity and information-seeking behavior. Our results align closely with the narratives presented by Adams (2017) and Brown (2019), affirming the intertwining of societal attitudes towards procreation with the portrayal of parenthood in popular media. The vivid correlations illuminated by our study underscore the potency of televised content to wittily nudge individuals towards contemplations of family planning, infusing a touch of comical charm into the serious pursuit of understanding human interests and behavior.

The striking linearity depicted in the scatterplot encapsulates the enchanting equilibrium between the whimsically scripted physicists of "The Big Bang Theory" and the earnest pursuit of procreative knowledge. As we peer into the nuances of this correlation, we are beckoned to appreciate the delightful quirks of human curiosity that harmonize with the unfolding narrative of popular culture. Our investigation stands as a testament to the melding of empirical inquiry with the enchanting allure of popular media, offering a wry nod to the boundless curiosities that underpin the tapestry of human behavior.

In unraveling the peculiar correlation between viewership of "The Big Bang Theory" and online searches for baby-making techniques, we peek behind the curtains of statistical patterns and statistical significances, finding ourselves immersed in the quirky, light-hearted shimmer of a research inquiry that transcends the ordinary boundaries of scholarly pursuit. Our exploration not only prompts contemplation of the profound but also wields a whimsical charm that beckons us to revel in the enchanting interplay between popular culture and human curiosity.


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 Viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques

[[ABSTRACT]]
This paper investigates the fascinating and at times perplexing relationship between viewership of the hit television show "The Big Bang Theory" and the frequency of Google searches for information related to procreation. Leveraging data from Wikipedia and Google Trends, our research team sought to shed light on the potential influence of a popular sitcom on reproductive inquiries. Through rigorous statistical analysis, we uncovered a strikingly high correlation coefficient of 0.9825046 and a statistically significant p-value of less than 0.01 over the period from 2008 to 2019, suggesting a strong linkage between the comical exploits of physicists and the curiosity about making babies. We delve into the nuances of this unexpected coalescence, offering both serious insight and playful musings on the intersection of popular culture and procreation-related information-seeking behavior. This study not only furthers our understanding of the interplay between entertainment consumption and reproductive interests but also provides a lighthearted glimpse into the whimsical side of research inquiry.

[[INTRDUCTION]]
INTRODUCTION
The interaction between media consumption and human behavior has long captivated the interest of researchers across various disciplines. From the influence of advertisements on consumer choices to the impact of televised events on social attitudes, the interplay between popular culture and individual actions has been the subject of extensive scholarly inquiry. Amidst this backdrop, our research endeavors to unravel a rather peculiar association - the potential relationship between viewership of the television show "The Big Bang Theory" and the frequency of online searches for information related to procreation.
As viewers around the globe reveled in the comical antics of physicists Leonard, Sheldon, and their eclectic group of friends, a curiosity blossomed around a curious phenomenon - the occurrence of a notable surge in Google searches for 'how to make baby' coinciding with the airing of episodes from the beloved sitcom. The inquiry leading our investigation was not only veiled in amusement but also sparked by a genuine interest in understanding the underlying mechanisms driving such an unexpected synchronization.
Leveraging data from Wikipedia and Google Trends, we sought to untangle this enigma and probe the potential impact of a cultural sensation on the human procreative imagination. Our approach blends rigorous statistical analyses and a sprinkle of levity, acknowledging the gravity of the correlation while leaving room for lighthearted contemplation on the intriguing intertwining of pop culture and procreation-related information-seeking behavior.
Let us embark on this journey, not only to unravel statistical patterns and correlations but also to revel in the delightful whimsy of a research inquiry that ventures into the charmingly unexpected territory of "The Big Bang Theory" and the pursuit of procreation-related knowledge. We invite our readers to join us in this scholarly escapade, where serious inquiry meets the joyous curiosity of the human spirit.

[[RESULTS]]
Our investigation into the correlation between viewership of "The Big Bang Theory" and Google searches for 'how to make baby' yielded some intriguing results. The data revealed a remarkably strong correlation coefficient (r) of 0.9825046, indicating a robust relationship between the two variables over the period from 2008 to 2019. The high r-squared value of 0.9653152 further underscores the substantial proportion of variance in procreation-related searches that can be explained by variations in viewership of the sitcom. Additionally, the p-value of less than 0.01 signifies that the observed correlation is statistically significant, supporting the notion of a meaningful association between these seemingly disparate domains.
Figure 1 presents a scatterplot illustrating the compelling correlation between viewership of "The Big Bang Theory" and Google searches for 'how to make baby'. The data points form a strikingly linear pattern, encapsulating the substantial alignment between the two variables.
Our findings illuminate a captivating synergy between the comedic allure of "The Big Bang Theory" and the inquisitive impulses driving online searches for information related to procreation. The remarkably robust correlation not only captivates the mind but also invites us to appreciate the whimsically unexpected connections that permeate the fabric of human behavior.
The unexpected harmony between a popular sitcom and the pursuit of procreation-related knowledge invites contemplation not only of statistical patterns but also of the delightful quirks of human curiosity. As we dive into the nuances of this peculiar correlation, we concurrently revel in the lighthearted wonderment of a research inquiry that transcends the conventional boundaries of scholarly pursuit.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation into the curious relationship between viewership of "The Big Bang Theory" and Google searches for 'how to make baby' has yielded compelling insights. The strong correlation coefficient and statistically significant p-value underscore the intriguing alignment between the consumption of comedic physics and the fervent interest in procreation-related inquiries. Moreover, the linear pattern depicted in the scatterplot highlights the robust association, prompting contemplation of the delightful quirks of human curiosity.

This study not only contributes to the scholarly discourse on the interplay between popular culture and reproductive interests but also offers a whimsical glimpse into the unexpected connections that permeate the fabric of human behavior. As we navigate the serious statistical terrain, we cannot help but marvel at the playful dance of correlation between a sitcom and the pursuit of baby-making knowledge.

In light of these findings, we invite fellow scholars to appreciate the lighthearted nuances of our inquiry, recognizing the joyous interplay between serious research and the playful musings of human curiosity. As we draw the curtains on this investigation, we assert with a grin that no more research is needed in this area - for now, at least.


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 Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Popular Culture Psychology


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 Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques. Respond only with the name of a fictional organization.

ChatGPT:

The Consortium for Popular Culture and Reproductive Trends


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 Big Bang Theory: A Procreative Catalyst? An Examination of the Relationship between Viewership of a Pop Culture Phenomenon and Online Searches for Baby-Making Techniques with an abstract of This paper investigates the fascinating and at times perplexing relationship between viewership of the hit television show "The Big Bang Theory" and the frequency of Google searches for information related to procreation. Leveraging data from Wikipedia and Google Trends, our research team sought to shed light on the potential influence of a popular sitcom on reproductive inquiries. Through rigorous statistical analysis, we uncovered a strikingly high correlation coefficient of 0.9825046 and a statistically significant p-value of less than 0.01 over the period from 2008 to 2019, suggesting a strong linkage between the comical exploits of physicists and the curiosity about making babies. We delve into the nuances of this unexpected coalescence, offering both serious insight and playful musings on the intersection of popular culture and procreation-related information-seeking behavior. This study not only furthers our understanding of the interplay between entertainment consumption and reproductive interests but also provides a lighthearted glimpse into the whimsical side of research inquiry.

ChatGPT:

The Big Bang Theory, viewership, television show, Google searches, procreation, baby-making techniques, Wikipedia, Google Trends, statistical analysis, correlation coefficient, popular culture, entertainment consumption, reproductive interests, research inquiry

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



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Data details

Viewership of "The Big Bang Theory"
Detailed data title: Average viewership of "The Big Bang Theory" by season
Source: Wikipedia
See what else correlates with Viewership of "The Big Bang Theory"

Google searches for 'how to make baby'
Detailed data title: Relative volume of Google searches for 'how to make baby' (Worldwide), with quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'how to make baby'

Correlation r = 0.9825046 (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 = 0.9653152 (Coefficient of determination)
This means 96.5% of the change in the one variable (i.e., Google searches for 'how to make baby') is predictable based on the change in the other (i.e., Viewership of "The Big Bang Theory") over the 12 years from 2008 through 2019.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.3E-8. 0.0000000125362711472472520000
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 0.98 in 1.3E-6% of random cases. Said differently, if you correlated 79,768,536 random variables You don't actually need 79 million 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 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.

[ 0.94, 1 ] 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.
200820092010201120122013201420152016201720182019
Viewership of "The Big Bang Theory" (Viewers)83100000001000000000014140000000132100000001582000000018680000000199600000001905000000020360000000189900000001863000000017310000000
Google searches for 'how to make baby' (Rel. search volume)34.833344.33335560.41677379.916783.7584.833385.083384.577.083372.8333




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([8310000000,10000000000,14140000000,13210000000,15820000000,18680000000,19960000000,19050000000,20360000000,18990000000,18630000000,17310000000,])
array_2 = np.array([34.8333,44.3333,55,60.4167,73,79.9167,83.75,84.8333,85.0833,84.5,77.0833,72.8333,])
array_1_name = "Viewership of "The Big Bang Theory""
array_2_name = "Google searches for 'how to make baby'"

# 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: 1402 · Black Variable ID: 146 · Red Variable ID: 1497
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