Spurious correlation #2,932 · 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 Brennon and the second variable is Number of games won by Detroit Red Wings in NHL season. The chart goes from 1975 to 2022, and the two variables track closely in value over that time.

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 Brennon and the second variable is Number of games won by Detroit Red Wings in NHL season. The chart goes from 1975 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the popularity of the name Brennon rose, so did the number of fans shouting "Brennon to win!" at Detroit Red Wings' games. This influx of support created a powerful sense of motivation and determination within the team, driving them to score more goals and outmaneuver their opponents. It was truly a case of 'Brennon-fused victory' on the ice, as the Red Wings skated their way to success with the backing of the spirited Brennon fanbase.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a funny scene you would see on Reddit: In a bustling Detroit arena, a sea of fans proudly donning Red Wings jerseys are cheering as the team celebrates a victorious season. A giant banner with the name "Brennon" hangs above the cheering crowd, symbolizing the growing popularity of the name. The coincidence of Brennons being good luck charms for the team is evident in the joyous expressions of the fans and the team players celebrating together. 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 Brennon and Number of games won by Detroit Red Wings in NHL season. 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: Oragami a funny image you would see on reddit a Polaroid photo Low poly Data cyber art
ChatGPT: a funny image you would see on reddit

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Brennon and Number of games won by Detroit Red Wings in NHL season, in the following situation: because as the popularity of the name Brennon increased, so did the number of games won by the Detroit Red Wings in the NHL season, leading to the inevitable conclusion that Brennons are actually good luck charms for the team.. Keep the description simple.
ChatGPT: In a bustling Detroit arena, a sea of fans proudly donning Red Wings jerseys cheer as the team celebrates a victorious season. A giant banner with the name "Brennon" hangs above the cheering crowd, symbolizing the growing popularity of the name. The coincidence of Brennons being good luck charms for the team is evident in the joyous expressions of the fans and the team players celebrating together.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ a funny image you would see on reddit ] and depicting this scene: In a bustling Detroit arena, a sea of fans proudly donning Red Wings jerseys cheer as the team celebrates a victorious season. A giant banner with the name "Brennon" hangs above the cheering crowd, symbolizing the growing popularity of the name. The coincidence of Brennons being good luck charms for the team is evident in the joyous expressions of the fans and the team players celebrating together. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a funny scene you would see on Reddit: In a bustling Detroit arena, a sea of fans proudly donning Red Wings jerseys are cheering as the team celebrates a victorious season. A giant banner with the name "Brennon" hangs above the cheering crowd, symbolizing the growing popularity of the name. The coincidence of Brennons being good luck charms for the team is evident in the joyous expressions of the fans and the team players celebrating together.

*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.
^{Show prompt for explanation} 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 increases in Popularity of the first name Brennon positively influenced Number of games won by Detroit Red Wings in NHL season. Include one good pun.

AI academic paper

(Because p < 0.01)

Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success

Journal of Sports Analytics and Performance Psychology

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} 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 dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Brennon and Number of games won by Detroit Red Wings in NHL season. 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]]
"Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success"

[[ABSTRACT]]
This study endeavors to scrutinize the potential relationship between the prevalence of the first name "Brennon" and the performance of the Detroit Red Wings in the National Hockey League (NHL). Drawing on extensive data from the US Social Security Administration and Hockey Reference encompassing the years 1975 to 2022, a robust correlation coefficient of 0.7054231 with a significance level of p < 0.01 has been established. The implications of these findings are neither cold nor insipid, as they shed a tidbit of light on the curious interplay between individual nomenclature and athletic triumph. Our analysis underscores the need for further investigation into the enigmatic influence of nomenclatural trends on sporting achievements, inviting scholars and enthusiasts alike to ponder the subtler forces at play in the world of professional sports.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
It is widely acknowledged that success in the realm of professional sports is the culmination of numerous factors, ranging from physical prowess and strategic acumen to the meticulous alignment of cosmic forces. While the former two aspects have been exhaustively dissected in the annals of sporting research, the latter remains somewhat elusive, lurking in the realms of superstition and conjecture. However, the present study endeavors to cast a discerning eye on a rather unconventional variable in the sporting equation – the popularity of the first name "Brennon" and its potential correlation to the performance of the Detroit Red Wings in the National Hockey League (NHL).
The intersection of nomenclature and athletic prowess may at first glance appear to be a rather frigid and uninviting subject for scholarly inquiry. Nevertheless, as practitioners of the scientific method, we must remain beholden to the pursuit of truth, regardless of where it may lead – whether veering into the murky depths of statistical analysis or skating over the thin ice of unconventional hypotheses. Thus, with a measure of humor and a dollop of earnestness, we embark upon the frosty terrain that lies ahead.
The moniker "Brennon" itself is not without its idiosyncrasies. As an ensample of nomenclatural evolution, it embodies the quirks and caprices of human naming predilections. It is no mere coincidence that this appellation, with its distinctive double "n," has etched a rather unique path through the frozen tundra of nomenclature. Similarly, the Detroit Red Wings, with their storied history and endearing mascot, the famous "Al the Octopus," bring a touch of color and fervor to the often glacial world of professional ice hockey, acting as the ideal subjects for this study's frosty inquiry.
Furthermore, the veritable ice rink of statistical analysis and the gusts of hypothesis testing demand a level of precision akin to that of a skilled figure skater executing a quadruple jump. The brooding specter of random chance looms over such endeavors, threatening to send the entire exercise careening into the boards of statistical insignificance. Hence, this study seeks not merely to present a correlation, but to scrutinize the said correlation with the dispassionate gaze of a seasoned referee, ensuring that no puck of skewness or goal of confounding variables eludes our watchful eye.
Thus, as the Zamboni of curiosity glides over the frozen pond of inquiry, we invite the esteemed reader to set aside their preconceptions and prejudices, and together probe the frosty expanse that lies beyond the boards of conventional wisdom. For in the frigid embrace of empirical analysis lies the potential to unearth unexpected truths – truths that may, quite literally, skate circles around our conventional understanding of the sporting world.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The present study delves into the hitherto unexplored terrain of the potential relationship between the prevalence of the first name "Brennon" and the performance of the Detroit Red Wings in the National Hockey League (NHL). While one may be inclined to dismiss such an investigation as mere fanciful frolic, it behooves the discerning scholar to circumvent the temptation of such hasty judgment and delve into the frigid reservoir of existing literature on the subject matter.

Smith (2010) elucidates the significance of nomenclatural trends in shaping individual destinies, positing that the choice of a particular name may exert a subtle yet palpable influence on personal development. Doe (2015) provides a comprehensive overview of the socio-psychological implications of nomenclature, emphasizing the implicit power of names in modulating social perceptions and self-identity. Jones (2018) delves into the realm of statistical analysis, presenting a meticulous examination of the correlation between personal names and various societal metrics, prompting the reader to contemplate the far-reaching implications of nomenclatural dynamics.

Turning to the domain of popular non-fiction literature, "The Power of Names" by Johnson (2017) offers an erudite exploration of the multifaceted impact of names on human experiences, weaving together historical anecdotes and psychological analyses into a compelling narrative. "The Name Effect" by Brown (2019) scrutinizes the intricate interplay between nomenclature and professional success, delving into the curious case of individuals with particular names excelling in certain domains.

In the realm of fiction, "The Name Game" by White (2013) may appear at first glance to be a whimsical exploration of nomenclatural caprice, yet its underlying themes resonate with the very essence of the present inquiry. Similarly, "The Winning Name" by Grey (2016) embodies the confluence of fortuity and nomenclatural idiosyncrasies, ensnaring the reader in a web of intrigue and happenstance.

The authors encountered an intriguing social media post positing a correlation between the frequency of the name "Brennon" and the success of sports teams. While social media is often a hotbed of frivolous conjectures, this particular post struck a chord, inciting a measure of curiosity and prompting the present investigation into this frosty conundrum.

In conclusion, the existing scholarly and literary corpus provides a veritable tapestry of perspectives on the interplay between nomenclatural trends and individual destinies. However, the curious amalgamation of the seemingly disparate elements - the first name "Brennon" and the sporting triumphs of the Detroit Red Wings - embodies a frosty enigma that beckons the inquisitive mind to embark on a scholarly journey through the frozen expanse of empirical inquiry.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Brennon and Number of games won by Detroit Red Wings in NHL season. 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 Hockey Reference . You used data from 1975 to 2022

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success"

[[ABSTRACT]]
This study endeavors to scrutinize the potential relationship between the prevalence of the first name "Brennon" and the performance of the Detroit Red Wings in the National Hockey League (NHL). Drawing on extensive data from the US Social Security Administration and Hockey Reference encompassing the years 1975 to 2022, a robust correlation coefficient of 0.7054231 with a significance level of p < 0.01 has been established. The implications of these findings are neither cold nor insipid, as they shed a tidbit of light on the curious interplay between individual nomenclature and athletic triumph. Our analysis underscores the need for further investigation into the enigmatic influence of nomenclatural trends on sporting achievements, inviting scholars and enthusiasts alike to ponder the subtler forces at play in the world of professional sports.

[[INTRODUCTION]]
INTRODUCTION
It is widely acknowledged that success in the realm of professional sports is the culmination of numerous factors, ranging from physical prowess and strategic acumen to the meticulous alignment of cosmic forces. While the former two aspects have been exhaustively dissected in the annals of sporting research, the latter remains somewhat elusive, lurking in the realms of superstition and conjecture. However, the present study endeavors to cast a discerning eye on a rather unconventional variable in the sporting equation – the popularity of the first name "Brennon" and its potential correlation to the performance of the Detroit Red Wings in the National Hockey League (NHL).
The intersection of nomenclature and athletic prowess may at first glance appear to be a rather frigid and uninviting subject for scholarly inquiry. Nevertheless, as practitioners of the scientific method, we must remain beholden to the pursuit of truth, regardless of where it may lead – whether veering into the murky depths of statistical analysis or skating over the thin ice of unconventional hypotheses. Thus, with a measure of humor and a dollop of earnestness, we embark upon the frosty terrain that lies ahead.
The moniker "Brennon" itself is not without its idiosyncrasies. As an ensample of nomenclatural evolution, it embodies the quirks and caprices of human naming predilections. It is no mere coincidence that this appellation, with its distinctive double "n," has etched a rather unique path through the frozen tundra of nomenclature. Similarly, the Detroit Red Wings, with their storied history and endearing mascot, the famous "Al the Octopus," bring a touch of color and fervor to the often glacial world of professional ice hockey, acting as the ideal subjects for this study's frosty inquiry.
Furthermore, the veritable ice rink of statistical analysis and the gusts of hypothesis testing demand a level of precision akin to that of a skilled figure skater executing a quadruple jump. The brooding specter of random chance looms over such endeavors, threatening to send the entire exercise careening into the boards of statistical insignificance. Hence, this study seeks not merely to present a correlation, but to scrutinize the said correlation with the dispassionate gaze of a seasoned referee, ensuring that no puck of skewness or goal of confounding variables eludes our watchful eye.
Thus, as the Zamboni of curiosity glides over the frozen pond of inquiry, we invite the esteemed reader to set aside their preconceptions and prejudices, and together probe the frosty expanse that lies beyond the boards of conventional wisdom. For in the frigid embrace of empirical analysis lies the potential to unearth unexpected truths – truths that may, quite literally, skate circles around our conventional understanding of the sporting world.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data for this study were gathered from multiple sources, primarily the US Social Security Administration for the prevalence of the first name "Brennon" and Hockey Reference for the number of games won by the Detroit Red Wings in NHL seasons spanning from 1975 to 2022. The collection process involved a combination of internet sleuthing, interlibrary loan requests, and a surplus of caffeinated beverages.

Variables and Measurement:
The main independent variable under scrutiny was the prevalence of the first name "Brennon" as reported by the US Social Security Administration. This variable was carefully tracked over the specified time frame, taking into account any fluctuations, anomalies, or sudden spikes in nomenclatural preferences. The dependent variable, on the other hand, constituted the number of games won by the Detroit Red Wings in each NHL season. To ensure robustness, this data was meticulously cross-referenced, double-checked, and occasionally triple-checked to mitigate the risk of statistical penalties for excessive flexing of data.

Statistical Analysis:
A correlation analysis was conducted to discern any potential relationship between the prevalence of the name "Brennon" and the number of games won by the Detroit Red Wings. The Pearson correlation coefficient emerged as the statistical technique of choice, given its knack for sifting through the statistical flurry and zeroing in on significant associations. Additionally, a significance test was performed to ascertain the level of confidence in the observed correlation. This analytical process involved an arsenal of statistical software, mathematical calculations finer than a Zamboni's blade, and a keen eye for detecting outliers lurking in the statistical penalty box.

Control Variables:
Several control variables were considered, such as overall team performance, league dynamics, player rosters, coaching strategies, and the ever-fluctuating ebbs and flows of the sporting zeitgeist. While these variables were not the stars of the show, they played crucial supporting roles in warding off potential spurious relationships and confounding effects, akin to the defensive maneuvers of a goaltender safeguarding the statistical net.

Sensitivity Analysis:
To evaluate the robustness of the findings, sensitivity analyses were conducted, subjecting the data to variations in statistical parameters and analytical techniques akin to making precise adjustments on the rink of statistical scrutiny. These exercises serve the purpose of validating the coherence and resilience of the correlation under different methodological lenses, analogous to testing the ice for its capacity to uphold variegated weight distributions.

Ethical Considerations:
The ethical framework of this study encompassed the responsible and transparent use of data, the due acknowledgement of prior literature, and the judicious interpretation of statistical results to avoid overextrapolation or creating a hockey stick illusion of causation. Furthermore, the privacy and confidentiality of individuals bearing the name "Brennon" were upheld, with data security practices rivaling the fortification of a hockey goalie's net.

To summarize, the methodology employed in this study adheres to the rigorous standards of scholarly inquiry, paving the way for a thorough exploration of the Brennon Effect on the Detroit Red Wings' NHL success.

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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Brennon and Number of games won by Detroit Red Wings in NHL season. 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 Hockey Reference .

For the time period 1975 to 2022, you found a correlation 0.7054231, r-squared of 0.4976218, 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]]
"Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success"

[[ABSTRACT]]
This study endeavors to scrutinize the potential relationship between the prevalence of the first name "Brennon" and the performance of the Detroit Red Wings in the National Hockey League (NHL). Drawing on extensive data from the US Social Security Administration and Hockey Reference encompassing the years 1975 to 2022, a robust correlation coefficient of 0.7054231 with a significance level of p < 0.01 has been established. The implications of these findings are neither cold nor insipid, as they shed a tidbit of light on the curious interplay between individual nomenclature and athletic triumph. Our analysis underscores the need for further investigation into the enigmatic influence of nomenclatural trends on sporting achievements, inviting scholars and enthusiasts alike to ponder the subtler forces at play in the world of professional sports.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
It is widely acknowledged that success in the realm of professional sports is the culmination of numerous factors, ranging from physical prowess and strategic acumen to the meticulous alignment of cosmic forces. While the former two aspects have been exhaustively dissected in the annals of sporting research, the latter remains somewhat elusive, lurking in the realms of superstition and conjecture. However, the present study endeavors to cast a discerning eye on a rather unconventional variable in the sporting equation – the popularity of the first name "Brennon" and its potential correlation to the performance of the Detroit Red Wings in the National Hockey League (NHL).
The intersection of nomenclature and athletic prowess may at first glance appear to be a rather frigid and uninviting subject for scholarly inquiry. Nevertheless, as practitioners of the scientific method, we must remain beholden to the pursuit of truth, regardless of where it may lead – whether veering into the murky depths of statistical analysis or skating over the thin ice of unconventional hypotheses. Thus, with a measure of humor and a dollop of earnestness, we embark upon the frosty terrain that lies ahead.
The moniker "Brennon" itself is not without its idiosyncrasies. As an ensample of nomenclatural evolution, it embodies the quirks and caprices of human naming predilections. It is no mere coincidence that this appellation, with its distinctive double "n," has etched a rather unique path through the frozen tundra of nomenclature. Similarly, the Detroit Red Wings, with their storied history and endearing mascot, the famous "Al the Octopus," bring a touch of color and fervor to the often glacial world of professional ice hockey, acting as the ideal subjects for this study's frosty inquiry.
Furthermore, the veritable ice rink of statistical analysis and the gusts of hypothesis testing demand a level of precision akin to that of a skilled figure skater executing a quadruple jump. The brooding specter of random chance looms over such endeavors, threatening to send the entire exercise careening into the boards of statistical insignificance. Hence, this study seeks not merely to present a correlation, but to scrutinize the said correlation with the dispassionate gaze of a seasoned referee, ensuring that no puck of skewness or goal of confounding variables eludes our watchful eye.
Thus, as the Zamboni of curiosity glides over the frozen pond of inquiry, we invite the esteemed reader to set aside their preconceptions and prejudices, and together probe the frosty expanse that lies beyond the boards of conventional wisdom. For in the frigid embrace of empirical analysis lies the potential to unearth unexpected truths – truths that may, quite literally, skate circles around our conventional understanding of the sporting world.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of the analysis revealed a noteworthy correlation between the popularity of the first name "Brennon" and the number of games won by the Detroit Red Wings in the NHL season. The correlation coefficient of 0.7054231 indicated a strong positive relationship, suggesting that as the prevalence of the name "Brennon" increased, so did the success of the Detroit Red Wings on the ice. This finding is not merely a fluke on thin ice; rather, it provides a compelling glimpse into the mysterious dynamics of nomenclature and athletic achievement.

The coefficient of determination (r-squared) of 0.4976218 indicated that approximately 49.76% of the variation in the number of games won by the Detroit Red Wings can be explained by the prevalence of the name "Brennon." This substantial proportion of variance elucidates the potent influence of this seemingly innocuous variable on the team's performance.

The p-value of less than 0.01 further bolsters the significance of the observed correlation, rendering it statistically robust and far from a mere statistical blip on the radar. With this level of significance, we can confidently assert that the relationship between the popularity of the name "Brennon" and the success of the Detroit Red Wings is not a mere statistical artifact, but a genuine connection worthy of further exploration.

This correlation, as visually depicted in Fig. 1, underscores the salient nature of the relationship, starkly juxtaposing the ascending trajectory of "Brennon" with the triumphant ascent of the Detroit Red Wings in the realm of professional hockey. It is as if the name "Brennon," with its distinctive flair, harnessed the collective aspirations of the team, propelling them toward victory on the rink.

The implications of these findings extend beyond the confines of a chilly ice rink; they beckon us to consider the myriad factors, perhaps even those we consider to be offside or out of bounds, that may exert subtle yet substantial influences on athletic accomplishments. This correlation between nomenclature and sporting success tantalizingly invites further exploration, much like the promise of a freshly resurfaced ice rink before a championship game.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Brennon and Number of games won by Detroit Red Wings in NHL season. 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]]
"Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success"

[[ABSTRACT]]
This study endeavors to scrutinize the potential relationship between the prevalence of the first name "Brennon" and the performance of the Detroit Red Wings in the National Hockey League (NHL). Drawing on extensive data from the US Social Security Administration and Hockey Reference encompassing the years 1975 to 2022, a robust correlation coefficient of 0.7054231 with a significance level of p < 0.01 has been established. The implications of these findings are neither cold nor insipid, as they shed a tidbit of light on the curious interplay between individual nomenclature and athletic triumph. Our analysis underscores the need for further investigation into the enigmatic influence of nomenclatural trends on sporting achievements, inviting scholars and enthusiasts alike to ponder the subtler forces at play in the world of professional sports.

[[LITERATURE REVIEW]]
The present study delves into the hitherto unexplored terrain of the potential relationship between the prevalence of the first name "Brennon" and the performance of the Detroit Red Wings in the National Hockey League (NHL). While one may be inclined to dismiss such an investigation as mere fanciful frolic, it behooves the discerning scholar to circumvent the temptation of such hasty judgment and delve into the frigid reservoir of existing literature on the subject matter.
Smith (2010) elucidates the significance of nomenclatural trends in shaping individual destinies, positing that the choice of a particular name may exert a subtle yet palpable influence on personal development. Doe (2015) provides a comprehensive overview of the socio-psychological implications of nomenclature, emphasizing the implicit power of names in modulating social perceptions and self-identity. Jones (2018) delves into the realm of statistical analysis, presenting a meticulous examination of the correlation between personal names and various societal metrics, prompting the reader to contemplate the far-reaching implications of nomenclatural dynamics.
Turning to the domain of popular non-fiction literature, "The Power of Names" by Johnson (2017) offers an erudite exploration of the multifaceted impact of names on human experiences, weaving together historical anecdotes and psychological analyses into a compelling narrative. "The Name Effect" by Brown (2019) scrutinizes the intricate interplay between nomenclature and professional success, delving into the curious case of individuals with particular names excelling in certain domains.
In the realm of fiction, "The Name Game" by White (2013) may appear at first glance to be a whimsical exploration of nomenclatural caprice, yet its underlying themes resonate with the very essence of the present inquiry. Similarly, "The Winning Name" by Grey (2016) embodies the confluence of fortuity and nomenclatural idiosyncrasies, ensnaring the reader in a web of intrigue and happenstance.
The authors encountered an intriguing social media post positing a correlation between the frequency of the name "Brennon" and the success of sports teams. While social media is often a hotbed of frivolous conjectures, this particular post struck a chord, inciting a measure of curiosity and prompting the present investigation into this frosty conundrum.
In conclusion, the existing scholarly and literary corpus provides a veritable tapestry of perspectives on the interplay between nomenclatural trends and individual destinies. However, the curious amalgamation of the seemingly disparate elements - the first name "Brennon" and the sporting triumphs of the Detroit Red Wings - embodies a frosty enigma that beckons the inquisitive mind to embark on a scholarly journey through the frozen expanse of empirical inquiry.

[[RESULTS]]
The results of the analysis revealed a noteworthy correlation between the popularity of the first name "Brennon" and the number of games won by the Detroit Red Wings in the NHL season. The correlation coefficient of 0.7054231 indicated a strong positive relationship, suggesting that as the prevalence of the name "Brennon" increased, so did the success of the Detroit Red Wings on the ice. This finding is not merely a fluke on thin ice; rather, it provides a compelling glimpse into the mysterious dynamics of nomenclature and athletic achievement.
The coefficient of determination (r-squared) of 0.4976218 indicated that approximately 49.76% of the variation in the number of games won by the Detroit Red Wings can be explained by the prevalence of the name "Brennon." This substantial proportion of variance elucidates the potent influence of this seemingly innocuous variable on the team's performance.
The p-value of less than 0.01 further bolsters the significance of the observed correlation, rendering it statistically robust and far from a mere statistical blip on the radar. With this level of significance, we can confidently assert that the relationship between the popularity of the name "Brennon" and the success of the Detroit Red Wings is not a mere statistical artifact, but a genuine connection worthy of further exploration.
This correlation, as visually depicted in Fig. 1, underscores the salient nature of the relationship, starkly juxtaposing the ascending trajectory of "Brennon" with the triumphant ascent of the Detroit Red Wings in the realm of professional hockey. It is as if the name "Brennon," with its distinctive flair, harnessed the collective aspirations of the team, propelling them toward victory on the rink.
The implications of these findings extend beyond the confines of a chilly ice rink; they beckon us to consider the myriad factors, perhaps even those we consider to be offside or out of bounds, that may exert subtle yet substantial influences on athletic accomplishments. This correlation between nomenclature and sporting success tantalizingly invites further exploration, much like the promise of a freshly resurfaced ice rink before a championship game.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our analysis offer an intriguing glimpse into the frosty confluence of individual nomenclature and athletic prowess. Our findings not only corroborate but also extend the existing literature on the curiously captivating influence of names on human endeavors. The robust correlation we observed between the prevalence of the first name "Brennon" and the number of games won by the Detroit Red Wings in the NHL season impels us to skate further into the frigid expanse of inquiry.

Our study validates the prescient insights of Smith (2010), who espoused the subtle, yet formidable impact of nomenclatural proclivities on personal trajectories. Indeed, the palpable relationship we uncovered between the name "Brennon" and the triumphs of the Detroit Red Wings aligns with the tenets of Smith's suppositions, inviting contemplation of the reverberating effects of nomenclatural happenstance on professional athletic endeavors.

Moreover, our findings resonate with the thematic undercurrents in "The Name Game" by White (2013) and "The Winning Name" by Grey (2016), where the interplay of happenstance and nomenclatural idiosyncrasies mirrors the intriguing connection we have unearthed. While it may seem frivolous to draw parallels between a scholarly investigation and works of fiction, the resonances are as clear as a freshly resurfaced ice rink.

The significant correlation coefficient and the p-value below 0.01 untangle any lingering doubts regarding the genuineness of our observed relationship, offering a robust statistical foundation for the enigmatic connection between the first name "Brennon" and the athletic triumphs of the Detroit Red Wings. It is as if the statistical rigidity underpinning our findings forms a protective barrier akin to the boards surrounding a hockey rink, shielding our results from the slings and arrows of statistical skepticism.

Furthermore, our results prompt a broader contemplation of seemingly innocuous variables that may exert conspicuous influences on professional sports, analogous to the unexpected puck deflections that can alter the course of a game. The chilly companionship between "Brennon" and the Red Wings evokes a sense of intrigue reminiscent of a game-winning goal in overtime – a fortuitous confluence of variables that demands extensive scrutiny.

In essence, our findings galvanize further explorations into the niche of names and their frosty interplay with athletic achievements. Just as a game-winning goal sparks exuberant celebrations among fans, our correlation beckons scholars and enthusiasts to plunge into the frosty realm of nomenclatural dynamics, embracing the unexpected twists and turns that accompany such scholarly undertakings.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Brennon and Number of games won by Detroit Red Wings in NHL season. 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]]
"Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success"

[[ABSTRACT]]
This study endeavors to scrutinize the potential relationship between the prevalence of the first name "Brennon" and the performance of the Detroit Red Wings in the National Hockey League (NHL). Drawing on extensive data from the US Social Security Administration and Hockey Reference encompassing the years 1975 to 2022, a robust correlation coefficient of 0.7054231 with a significance level of p < 0.01 has been established. The implications of these findings are neither cold nor insipid, as they shed a tidbit of light on the curious interplay between individual nomenclature and athletic triumph. Our analysis underscores the need for further investigation into the enigmatic influence of nomenclatural trends on sporting achievements, inviting scholars and enthusiasts alike to ponder the subtler forces at play in the world of professional sports.

[[INTRDUCTION]]
INTRODUCTION
It is widely acknowledged that success in the realm of professional sports is the culmination of numerous factors, ranging from physical prowess and strategic acumen to the meticulous alignment of cosmic forces. While the former two aspects have been exhaustively dissected in the annals of sporting research, the latter remains somewhat elusive, lurking in the realms of superstition and conjecture. However, the present study endeavors to cast a discerning eye on a rather unconventional variable in the sporting equation – the popularity of the first name "Brennon" and its potential correlation to the performance of the Detroit Red Wings in the National Hockey League (NHL).
The intersection of nomenclature and athletic prowess may at first glance appear to be a rather frigid and uninviting subject for scholarly inquiry. Nevertheless, as practitioners of the scientific method, we must remain beholden to the pursuit of truth, regardless of where it may lead – whether veering into the murky depths of statistical analysis or skating over the thin ice of unconventional hypotheses. Thus, with a measure of humor and a dollop of earnestness, we embark upon the frosty terrain that lies ahead.
The moniker "Brennon" itself is not without its idiosyncrasies. As an ensample of nomenclatural evolution, it embodies the quirks and caprices of human naming predilections. It is no mere coincidence that this appellation, with its distinctive double "n," has etched a rather unique path through the frozen tundra of nomenclature. Similarly, the Detroit Red Wings, with their storied history and endearing mascot, the famous "Al the Octopus," bring a touch of color and fervor to the often glacial world of professional ice hockey, acting as the ideal subjects for this study's frosty inquiry.
Furthermore, the veritable ice rink of statistical analysis and the gusts of hypothesis testing demand a level of precision akin to that of a skilled figure skater executing a quadruple jump. The brooding specter of random chance looms over such endeavors, threatening to send the entire exercise careening into the boards of statistical insignificance. Hence, this study seeks not merely to present a correlation, but to scrutinize the said correlation with the dispassionate gaze of a seasoned referee, ensuring that no puck of skewness or goal of confounding variables eludes our watchful eye.
Thus, as the Zamboni of curiosity glides over the frozen pond of inquiry, we invite the esteemed reader to set aside their preconceptions and prejudices, and together probe the frosty expanse that lies beyond the boards of conventional wisdom. For in the frigid embrace of empirical analysis lies the potential to unearth unexpected truths – truths that may, quite literally, skate circles around our conventional understanding of the sporting world.

[[RESULTS]]
The results of the analysis revealed a noteworthy correlation between the popularity of the first name "Brennon" and the number of games won by the Detroit Red Wings in the NHL season. The correlation coefficient of 0.7054231 indicated a strong positive relationship, suggesting that as the prevalence of the name "Brennon" increased, so did the success of the Detroit Red Wings on the ice. This finding is not merely a fluke on thin ice; rather, it provides a compelling glimpse into the mysterious dynamics of nomenclature and athletic achievement.
The coefficient of determination (r-squared) of 0.4976218 indicated that approximately 49.76% of the variation in the number of games won by the Detroit Red Wings can be explained by the prevalence of the name "Brennon." This substantial proportion of variance elucidates the potent influence of this seemingly innocuous variable on the team's performance.
The p-value of less than 0.01 further bolsters the significance of the observed correlation, rendering it statistically robust and far from a mere statistical blip on the radar. With this level of significance, we can confidently assert that the relationship between the popularity of the name "Brennon" and the success of the Detroit Red Wings is not a mere statistical artifact, but a genuine connection worthy of further exploration.
This correlation, as visually depicted in Fig. 1, underscores the salient nature of the relationship, starkly juxtaposing the ascending trajectory of "Brennon" with the triumphant ascent of the Detroit Red Wings in the realm of professional hockey. It is as if the name "Brennon," with its distinctive flair, harnessed the collective aspirations of the team, propelling them toward victory on the rink.
The implications of these findings extend beyond the confines of a chilly ice rink; they beckon us to consider the myriad factors, perhaps even those we consider to be offside or out of bounds, that may exert subtle yet substantial influences on athletic accomplishments. This correlation between nomenclature and sporting success tantalizingly invites further exploration, much like the promise of a freshly resurfaced ice rink before a championship game.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, the findings of this study bolster the notion that the prevalence of the first name "Brennon" is intricately linked to the performance of the Detroit Red Wings in the NHL. This correlation, while undoubtedly intriguing, also opens up a veritable pandora's box of questions, such as whether a surge in "Brennons" leads to an influx of victorious puck drops, or if this relationship simply reflects the capricious whims of statistical probability masquerading as a hockey trend. Furthermore, considering the mercurial nature of sporting success, it remains to be seen whether the name "Brennon" is truly an auspicious moniker or a statistical red herring, cunningly weaving its way through the data like a crafty winger evading defensemen on the ice.

Despite these lingering enigmas, one cannot deny the allure of this peculiar correlation, much like the glint of sunlight on freshly Zambonied ice. It beckons further inquiry and invites the scholarly community to contemplate the curious dance of nomenclature and athletic achievement. The statistical robustness of the correlation is as solid as the ice itself, and the significant p-value ensures that this is no mere statistical penalty box for unwarranted conclusions.

While the implications of these findings are neither as black and white as the contrasting zones on a hockey rink, nor as obvious as the red line marking a goal, they provoke thought and intrigue. The frosty inquiry into the "Brennon Effect" serves as a reminder of the oft-overlooked role of unconventional variables in shaping sporting destinies.

However, as one skates toward the conclusion of this study, it is important to recognize the limitations of our analysis. Correlation does not imply causation, and there may be lurking confounding factors that have eluded our scrutiny, much like the opposing team's forward sneaking behind the defense. Additionally, the study's focus on one particular name limits the generalizability of the findings to other nomenclatural phenomena in the sporting arena, leaving the door open for future investigations into hockey's name game.

In the frosty halls of statistical analysis, one is compelled to recognize the recurrent theme of research – the insatiable hunger for knowledge and the perpetual stimulation of the inquisitive mind. Even so, this study unequivocally asserts that no further exploration of the "Brennon Effect" is warranted at this time. The lines of evidence have been skillfully cross-checked, and the conclusive whistle has blown on this particular nomenclatural icecapade.

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 Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Sports Analytics and Performance 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 Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Sports Analytics and Performance Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success with an abstract of This study endeavors to scrutinize the potential relationship between the prevalence of the first name "Brennon" and the performance of the Detroit Red Wings in the National Hockey League (NHL). Drawing on extensive data from the US Social Security Administration and Hockey Reference encompassing the years 1975 to 2022, a robust correlation coefficient of 0.7054231 with a significance level of p < 0.01 has been established. The implications of these findings are neither cold nor insipid, as they shed a tidbit of light on the curious interplay between individual nomenclature and athletic triumph. Our analysis underscores the need for further investigation into the enigmatic influence of nomenclatural trends on sporting achievements, inviting scholars and enthusiasts alike to ponder the subtler forces at play in the world of professional sports.

ChatGPT:

"Brennon effect," "Detroit Red Wings NHL success," "prevalence of first name Brennon," "relationship between name and performance," "US Social Security Administration data," "Hockey Reference data," "NHL performance correlation," "nomenclatural trends in sports," "sports achievement influence of names"

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

Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error

Data details

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

Number of games won by Detroit Red Wings in NHL season
Source: Hockey Reference
See what else correlates with Number of games won by Detroit Red Wings in NHL season

Correlation r = 0.7054231 (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 = 0.4976218 (Coefficient of determination)
This means 49.8% of the change in the one variable (i.e., Number of games won by Detroit Red Wings in NHL season) is predictable based on the change in the other (i.e., Popularity of the first name Brennon) over the 48 years from 1975 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.2E-8.^Show 0.0000000216144337797824820000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note 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 0.71 in 2.2E-6% of random cases. Said differently, if you correlated 46,265,380 random variables^Note You don't actually need 46 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 47 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 47 because we have two variables measured over a period of 48 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.

[ 0.53, 0.82 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} 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: ^Note 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.

	1975	1976	1977	1978	1979	1980	1981	1982	1983	1984	1985	1986	1987	1988	1989	1990	1991	1992	1993	1994	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
Popularity of the first name Brennon (Babies born)	19	12	19	14	19	36	26	20	33	49	26	34	64	47	56	73	89	96	117	117	130	141	150	161	174	152	158	143	148	126	114	140	151	164	189	168	127	117	95	71	64	49	57	40	52	50	57	29
Number of games won by Detroit Red Wings in NHL season (Games won)	23	26	16	32	23	26	19	21	21	31	27	17	34	41	34	28	34	43	47	46	33	62	38	44	43	48	49	51	48	48	0	58	50	54	51	44	47	48	24	39	43	41	33	30	32	17	19	32

Why this works

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.
Lack of causal connection: There is probably^Note 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.
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^Note 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.
Outlandish outliers: There are "outliers" in this data.^Note In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.

(This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} 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([19,12,19,14,19,36,26,20,33,49,26,34,64,47,56,73,89,96,117,117,130,141,150,161,174,152,158,143,148,126,114,140,151,164,189,168,127,117,95,71,64,49,57,40,52,50,57,29,])
array_2 = np.array([23,26,16,32,23,26,19,21,21,31,27,17,34,41,34,28,34,43,47,46,33,62,38,44,43,48,49,51,48,48,0,58,50,54,51,44,47,48,24,39,43,41,33,30,32,17,19,32,])
array_1_name = "Popularity of the first name Brennon"
array_2_name = "Number of games won by Detroit Red Wings in NHL season"

# 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)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Popularity of the first name Brennon
Line chart for only Number of games won by Detroit Red Wings in NHL season
AI-generated correlation image
The spurious research paper: Breaking the Ice: A Preliminary Investigation into the Brennon Effect on Detroit Red Wings NHL Success

View another random correlation

How fun was this correlation?

Kudos for rating!

Correlation ID: 2932 · Black Variable ID: 4105 · Red Variable ID: 351


Problem variable:
Issue:
Additional details: Optional
Confirm you are a human: