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Spurious correlation #2,933 · 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 Madyson and the second variable is Number of goals scored by winners in NCAA Field Hockey Div II finals.  The chart goes from 1985 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the name Madyson gained popularity, more and more parents unknowingly instilled a deep-seated passion for field hockey in their daughters. These young girls named Madyson grew up to dominate the sport, showing unparalleled skill and determination on the field. Their natural talent and sheer Madyson-ness led to an influx of exceptional players in the NCAA Field Hockey Div II finals, resulting in an overall increase in the number of goals scored by the ultimate winners. It seems that when it comes to field hockey, having a touch of Madyson magic truly makes all the difference!

Model: dalle-3
Prompt: Generate an image of a sunny field hockey final in NCAA Division II, featuring an exuberant scene with vibrant colors and lively action. The winning team, brimming with energy and excitement, is making a significant impact as they score multiple goals. In the midst of the spirited match, parents joyfully root for their daughters named Madyson, who serve as adorable mascots for the team. Each Madyson, adorned in miniature jerseys and brandishing petite sticks, brings an enchanting aura of luck and magic to the game. Their presence inspires the players to achieve a string of breathtaking goals, creating a captivating and heartwarming display. The announcers are depicted struggling to keep track of which Madyson is responsible for each electrifying goal celebration, adding a sense of delightful chaos to the lively atmosphere. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals. 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 Discovery magazine cover image Cutsy graphics Cyber folk Minimalism A photo-realistic image
ChatGPT: A Discovery magazine cover image

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals, in the following situation: Because the name Madyson became increasingly popular, the number of goals scored by winners in NCAA Field Hockey Div II finals also increased. As more and more parents named their children Madyson, the universe just couldn't resist adding a touch of Madyson magic to the field hockey matches. Each adorable Madyson became a tiny good luck charm, infusing the players with an unexplainable urge to score more goals and secure the victory. It's like they were playing for the honor of all the Madysons out there, cheering them on from the sidelines with their miniature sticks and jerseys. This phenomenon led to a goal-scoring frenzy and a whole lot of confused announcers trying to keep track of which Madyson was responsible for each goal!. Keep the description simple.
ChatGPT: Picture a vibrant field hockey final in NCAA Division II, where the number of goals scored by the winning team has noticeably increased. The field is alive with energy and excitement as parents proudly cheer on their daughters named Madyson, who have become the adorable mascots of the team. Each Madyson, dressed in tiny jerseys and holding miniature sticks, brings an infusion of luck and magic to the game, inspiring the players to score goal after goal. It's a delightful sight as the announcers struggle to keep track of which Madyson is responsible for each exhilarating goal celebration.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A Discovery magazine cover image ] and depicting this scene: Picture a vibrant field hockey final in NCAA Division II, where the number of goals scored by the winning team has noticeably increased. The field is alive with energy and excitement as parents proudly cheer on their daughters named Madyson, who have become the adorable mascots of the team. Each Madyson, dressed in tiny jerseys and holding miniature sticks, brings an infusion of luck and magic to the game, inspiring the players to score goal after goal. It's a delightful sight as the announcers struggle to keep track of which Madyson is responsible for each exhilarating goal celebration. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a sunny field hockey final in NCAA Division II, featuring an exuberant scene with vibrant colors and lively action. The winning team, brimming with energy and excitement, is making a significant impact as they score multiple goals. In the midst of the spirited match, parents joyfully root for their daughters named Madyson, who serve as adorable mascots for the team. Each Madyson, adorned in miniature jerseys and brandishing petite sticks, brings an enchanting aura of luck and magic to the game. Their presence inspires the players to achieve a string of breathtaking goals, creating a captivating and heartwarming display. The announcers are depicted struggling to keep track of which Madyson is responsible for each electrifying goal celebration, adding a sense of delightful chaos to the lively atmosphere.

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

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

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how increases in Popularity of the first name Madyson positively influenced Number of goals scored by winners in NCAA Field Hockey Div II finals.

AI academic paper

(Because p < 0.01)
Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals

The Journal of Sport Nameology

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Include a pun in the title.

Your research team used data from US Social Security Administration and NCAA to assess this nagging question. You found a correlation coefficient of 0.6389073 and p < 0.01 for 1985 to 2022.

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

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
"Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals"

[[ABSTRACT]]
This research paper presents a statistically sound investigation into the relationship between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. Utilizing data from the US Social Security Administration and NCAA, our research team employed rigorous statistical analysis to unravel this seemingly whimsical correlation. Surprisingly, our findings revealed a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01 for the years 1985 to 2022. While this connection may appear as elusive as a penalty corner goal, our study sheds light on the peculiar but intriguing relationship between nomenclature trends and athletic success. Our work not only advances the field of sports analytics but also inspires contemplation on the mystique of nomenclature and its potential impact on sports achievements.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals. 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]]
"Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals"

[[ABSTRACT]]
This research paper presents a statistically sound investigation into the relationship between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. Utilizing data from the US Social Security Administration and NCAA, our research team employed rigorous statistical analysis to unravel this seemingly whimsical correlation. Surprisingly, our findings revealed a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01 for the years 1985 to 2022. While this connection may appear as elusive as a penalty corner goal, our study sheds light on the peculiar but intriguing relationship between nomenclature trends and athletic success. Our work not only advances the field of sports analytics but also inspires contemplation on the mystique of nomenclature and its potential impact on sports achievements.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

In the world of sports analytics, researchers have delved into a myriad of factors that may influence athletic performance and success. From nutrition and physical conditioning to psychological factors and strategic game plans, the quest to unravel the predictors of victory has been as persistent as the pursuit of the perfect penalty stroke. Amidst this diverse landscape of potential influencers, one might not immediately expect to find a quirky and seemingly whimsical factor such as the popularity of a particular first name. However, as the old adage goes, "there's more than meets the eye," and our study delves into the curious relationship between the prevalence of the first name "Madyson" and the number of goals scored by the triumphant teams in NCAA Field Hockey Division II finals.

As researchers, we are often drawn to the unexpected and the unconventional, seeking to uncover hidden connections and unearth correlations that may at first appear as elusive as a game-winning goal. The intersection of nomenclature trends and athletic achievements may, at first glance, seem like an unlikely terrain for statistical exploration. Yet, as we delve into the data drawn from the US Social Security Administration and the NCAA, a compelling and significant association emerges, akin to an unexpected breakaway on the field. While the initial impulse might be to dismiss this correlation as pure coincidence, our rigorous statistical analyses provide compelling evidence to suggest otherwise.

Our study aims not only to present empirical evidence of this curious connection but also to provoke contemplation on the role of seemingly trivial or inexplicable elements in the realm of sports triumph. Through our meticulous data analysis, we seek to shed light on the intersection of nomenclature trends and athletic success, prompting further inquiry into the nuances of sports performance predictors. Moreover, this investigation contributes to the broader discourse on the influence of unconventional factors in the realm of analytics, emphasizing the need to consider diverse and unexpected variables in the pursuit of understanding athletic achievements.

As we embark on this statistical journey, we invite our readers to join us in unraveling the captivating relationship between a name and the elusive pursuit of victory in the realm of NCAA Field Hockey Division II finals. Just as a game of field hockey unfolds with unexpected twists and turns, our exploration of this peculiar correlation promises to offer both statistical insights and a touch of whimsy, reinforcing the notion that in the domain of sports analytics, surprises abound like unexpected penalty shootouts.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals. 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
"Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals"

[[ABSTRACT]]
This research paper presents a statistically sound investigation into the relationship between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. Utilizing data from the US Social Security Administration and NCAA, our research team employed rigorous statistical analysis to unravel this seemingly whimsical correlation. Surprisingly, our findings revealed a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01 for the years 1985 to 2022. While this connection may appear as elusive as a penalty corner goal, our study sheds light on the peculiar but intriguing relationship between nomenclature trends and athletic success. Our work not only advances the field of sports analytics but also inspires contemplation on the mystique of nomenclature and its potential impact on sports achievements.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the world of sports analytics, researchers have delved into a myriad of factors that may influence athletic performance and success. From nutrition and physical conditioning to psychological factors and strategic game plans, the quest to unravel the predictors of victory has been as persistent as the pursuit of the perfect penalty stroke. Amidst this diverse landscape of potential influencers, one might not immediately expect to find a quirky and seemingly whimsical factor such as the popularity of a particular first name. However, as the old adage goes, "there's more than meets the eye," and our study delves into the curious relationship between the prevalence of the first name "Madyson" and the number of goals scored by the triumphant teams in NCAA Field Hockey Division II finals.
As researchers, we are often drawn to the unexpected and the unconventional, seeking to uncover hidden connections and unearth correlations that may at first appear as elusive as a game-winning goal. The intersection of nomenclature trends and athletic achievements may, at first glance, seem like an unlikely terrain for statistical exploration. Yet, as we delve into the data drawn from the US Social Security Administration and the NCAA, a compelling and significant association emerges, akin to an unexpected breakaway on the field. While the initial impulse might be to dismiss this correlation as pure coincidence, our rigorous statistical analyses provide compelling evidence to suggest otherwise.
Our study aims not only to present empirical evidence of this curious connection but also to provoke contemplation on the role of seemingly trivial or inexplicable elements in the realm of sports triumph. Through our meticulous data analysis, we seek to shed light on the intersection of nomenclature trends and athletic success, prompting further inquiry into the nuances of sports performance predictors. Moreover, this investigation contributes to the broader discourse on the influence of unconventional factors in the realm of analytics, emphasizing the need to consider diverse and unexpected variables in the pursuit of understanding athletic achievements.
As we embark on this statistical journey, we invite our readers to join us in unraveling the captivating relationship between a name and the elusive pursuit of victory in the realm of NCAA Field Hockey Division II finals. Just as a game of field hockey unfolds with unexpected twists and turns, our exploration of this peculiar correlation promises to offer both statistical insights and a touch of whimsy, reinforcing the notion that in the domain of sports analytics, surprises abound like unexpected penalty shootouts.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

To contextualize the exploration of the unconventional and seemingly whimsical correlation between the prevalence of the first name "Madyson" and the number of goals scored by victors in NCAA Field Hockey Div II finals, it is imperative to survey the existing literature on nomenclature trends and their potential impact on athletic success.

Smith and Doe (2015) undertook an extensive analysis of the social and psychological ramifications of name popularity, revealing intriguing sociocultural implications that may permeate into seemingly unrelated domains such as athletic competitions. Jones et al. (2018) further substantiated these findings by delving into the subconscious biases associated with particular names, shedding light on the potential psychological facets that could, albeit inadvertently, influence sports performance.

Turning our attention to more niche publications, "The Book of Names: Their Meanings, Origins, and Impact on Victorious Outcomes" by Johnson (2007) offers a comprehensive exploration of the historical significance and hidden connotations of names, hinting at the clandestine influence that nomenclature preferences may exert on various spheres, including athletic triumphs. In a similar vein, "The Power of Nomenclature: Unraveling the Mysteries of Title and Triumph" by Anderson (2013) delves into the esoteric intricacies of names and their purported impact on domains hitherto unexplored, including sports victories.

As we venture into a realm where statistical inquiry converges with whimsy and unanticipated connections, it is pertinent to acknowledge the potential sources of inspiration that may underpin this investigation. Drawing analogies from sources that may not appear prima facie relevant but harbor subtle correlations, the fictional works of "The Name Game: A Tale of Sporting Serendipity" by Roberts (1999) and "The Goal-Scoring Alphabet: A Novel Exploration of Nomenclature and Victory" by Davis (2011) provoke contemplation on the interplay between nomenclature and sporting achievements.

Moreover, in the spirit of uncovering unexpected parallels and connections, it behooves us to draw inspiration from unconventional sources. Board games such as "Name Quest: The Pursuit of Athletic Achievement" and "Goal Galore: A Game of Nomenclature and Victorious Pursuits" serve as whimsical proxies for the intricate web of associations we aim to disentangle, offering a lighthearted yet thought-provoking lens through which to view ostensibly incongruous relationships.

The divergent array of literature and sources referenced above sets the stage for our statistical expedition into the enigmatic realm of name popularity and its curious connection to the number of goals scored by triumphant teams in NCAA Field Hockey Div II finals. As we embark on this scholarly escapade, it is essential to maintain a discerning outlook while embracing the unexpected junctures and hidden revelations that may surface amidst our analytical odyssey.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals. 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 US Social Security Administration and NCAA . You used data from 1985 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]]
"Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals"

[[ABSTRACT]]
This research paper presents a statistically sound investigation into the relationship between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. Utilizing data from the US Social Security Administration and NCAA, our research team employed rigorous statistical analysis to unravel this seemingly whimsical correlation. Surprisingly, our findings revealed a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01 for the years 1985 to 2022. While this connection may appear as elusive as a penalty corner goal, our study sheds light on the peculiar but intriguing relationship between nomenclature trends and athletic success. Our work not only advances the field of sports analytics but also inspires contemplation on the mystique of nomenclature and its potential impact on sports achievements.

[[INTRODUCTION]]
In the world of sports analytics, researchers have delved into a myriad of factors that may influence athletic performance and success. From nutrition and physical conditioning to psychological factors and strategic game plans, the quest to unravel the predictors of victory has been as persistent as the pursuit of the perfect penalty stroke. Amidst this diverse landscape of potential influencers, one might not immediately expect to find a quirky and seemingly whimsical factor such as the popularity of a particular first name. However, as the old adage goes, "there's more than meets the eye," and our study delves into the curious relationship between the prevalence of the first name "Madyson" and the number of goals scored by the triumphant teams in NCAA Field Hockey Division II finals.
As researchers, we are often drawn to the unexpected and the unconventional, seeking to uncover hidden connections and unearth correlations that may at first appear as elusive as a game-winning goal. The intersection of nomenclature trends and athletic achievements may, at first glance, seem like an unlikely terrain for statistical exploration. Yet, as we delve into the data drawn from the US Social Security Administration and the NCAA, a compelling and significant association emerges, akin to an unexpected breakaway on the field. While the initial impulse might be to dismiss this correlation as pure coincidence, our rigorous statistical analyses provide compelling evidence to suggest otherwise.
Our study aims not only to present empirical evidence of this curious connection but also to provoke contemplation on the role of seemingly trivial or inexplicable elements in the realm of sports triumph. Through our meticulous data analysis, we seek to shed light on the intersection of nomenclature trends and athletic success, prompting further inquiry into the nuances of sports performance predictors. Moreover, this investigation contributes to the broader discourse on the influence of unconventional factors in the realm of analytics, emphasizing the need to consider diverse and unexpected variables in the pursuit of understanding athletic achievements.
As we embark on this statistical journey, we invite our readers to join us in unraveling the captivating relationship between a name and the elusive pursuit of victory in the realm of NCAA Field Hockey Division II finals. Just as a game of field hockey unfolds with unexpected twists and turns, our exploration of this peculiar correlation promises to offer both statistical insights and a touch of whimsy, reinforcing the notion that in the domain of sports analytics, surprises abound like unexpected penalty shootouts.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

In order to investigate the potential relationship between the popularity of the first name "Madyson" and the number of goals scored by the winning teams in NCAA Field Hockey Div II finals, our research team undertook a meticulous and rigorous approach to data collection and statistical analysis. The data utilized in this study were obtained from the US Social Security Administration, providing comprehensive information on the popularity of the name "Madyson" from 1985 to 2022. Additionally, data on the number of goals scored by the winning teams in NCAA Field Hockey Division II finals were collected from official NCAA records, ensuring the accuracy and reliability of the sporting outcomes analyzed.

To commence our analysis, the first step involved the meticulous extraction of the frequency of the first name "Madyson" from the vast dataset provided by the US Social Security Administration. While one might envision our research team delving into a sea of names to uncover the elusive "Madyson," rest assured that our approach was as precise as a perfectly executed drag flick. A carefully crafted algorithm was employed to sift through the multitude of names, ensuring that "Madyson" was accurately isolated for further examination. Once the data on the prevalence of "Madyson" was secured, it was meticulously organized and prepared for integration into the broader statistical analysis.

Simultaneously, the data pertaining to the number of goals scored by the victorious teams in NCAA Field Hockey Division II finals were compiled, corroborated, and cross-verified to ensure their consistency and accuracy. This careful curation of sporting outcomes was reminiscent of a strategic huddle, with our research team leaving no stone unturned in selecting and verifying the relevant statistical indicators.

Upon the compilation of the requisite datasets, the next phase of our methodology entailed the application of advanced statistical techniques to explore the potential relationship between the prevalence of the name "Madyson" and the performance of the winning teams in NCAA Field Hockey Division II finals. Through a series of robust analyses, including correlation coefficients and regression models, we meticulously examined the patterns and associations between these seemingly disparate variables. This analytical approach sought to unearth any underlying connections, much like a skilled forward aims to find the back of the net with precision and finesse. Furthermore, to ensure the reliability and validity of our findings, we conducted sensitivity analyses and robustness checks, fortifying the statistical integrity of our results.

Our statistical journey through the data was akin to navigating a complex penalty shootout, as we diligently worked to decipher any potential signals amidst the noise of seemingly unrelated variables. We aimed to quench any skepticism by meticulously scrutinizing our results, acknowledging that the correlation between nomenclature and athletic success may raise eyebrows, much like a contentious call on the field.

In summary, our research methodology encompassed a comprehensive and meticulous approach to data collection, curation, and statistical analysis. By employing rigorous statistical techniques and maintaining a keen eye for detail, we endeavored to navigate the intriguing relationship between the popularity of the name "Madyson" and the attainment of victory in NCAA Field Hockey Division II finals, ultimately providing a statistically sound and compelling analysis of this unexpected correlation.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals. 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 US Social Security Administration and NCAA .

For the time period 1985 to 2022, you found a correlation 0.6389073, r-squared of 0.4082025, 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]]
"Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals"

[[ABSTRACT]]
This research paper presents a statistically sound investigation into the relationship between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. Utilizing data from the US Social Security Administration and NCAA, our research team employed rigorous statistical analysis to unravel this seemingly whimsical correlation. Surprisingly, our findings revealed a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01 for the years 1985 to 2022. While this connection may appear as elusive as a penalty corner goal, our study sheds light on the peculiar but intriguing relationship between nomenclature trends and athletic success. Our work not only advances the field of sports analytics but also inspires contemplation on the mystique of nomenclature and its potential impact on sports achievements.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the world of sports analytics, researchers have delved into a myriad of factors that may influence athletic performance and success. From nutrition and physical conditioning to psychological factors and strategic game plans, the quest to unravel the predictors of victory has been as persistent as the pursuit of the perfect penalty stroke. Amidst this diverse landscape of potential influencers, one might not immediately expect to find a quirky and seemingly whimsical factor such as the popularity of a particular first name. However, as the old adage goes, "there's more than meets the eye," and our study delves into the curious relationship between the prevalence of the first name "Madyson" and the number of goals scored by the triumphant teams in NCAA Field Hockey Division II finals.
As researchers, we are often drawn to the unexpected and the unconventional, seeking to uncover hidden connections and unearth correlations that may at first appear as elusive as a game-winning goal. The intersection of nomenclature trends and athletic achievements may, at first glance, seem like an unlikely terrain for statistical exploration. Yet, as we delve into the data drawn from the US Social Security Administration and the NCAA, a compelling and significant association emerges, akin to an unexpected breakaway on the field. While the initial impulse might be to dismiss this correlation as pure coincidence, our rigorous statistical analyses provide compelling evidence to suggest otherwise.
Our study aims not only to present empirical evidence of this curious connection but also to provoke contemplation on the role of seemingly trivial or inexplicable elements in the realm of sports triumph. Through our meticulous data analysis, we seek to shed light on the intersection of nomenclature trends and athletic success, prompting further inquiry into the nuances of sports performance predictors. Moreover, this investigation contributes to the broader discourse on the influence of unconventional factors in the realm of analytics, emphasizing the need to consider diverse and unexpected variables in the pursuit of understanding athletic achievements.
As we embark on this statistical journey, we invite our readers to join us in unraveling the captivating relationship between a name and the elusive pursuit of victory in the realm of NCAA Field Hockey Division II finals. Just as a game of field hockey unfolds with unexpected twists and turns, our exploration of this peculiar correlation promises to offer both statistical insights and a touch of whimsy, reinforcing the notion that in the domain of sports analytics, surprises abound like unexpected penalty shootouts.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Upon conducting our statistical analysis, we found a notable correlation between the popularity of the first name "Madyson" and the number of goals scored by the winning teams in NCAA Field Hockey Div II finals. The correlation coefficient was calculated to be 0.6389073, with an r-squared value of 0.4082025, and a p-value less than 0.01. These results suggest a moderate to strong positive relationship between the prevalence of the name "Madyson" and the success of the field hockey teams in scoring goals in the NCAA Division II finals.

In our exploration of this unorthodox relationship, we drew upon data spanning from 1985 to 2022, incorporating information from the US Social Security Administration and NCAA records. The comprehensive analysis of this multi-decadal dataset revealed a surprising and robust association, demonstrating that the popularity of the name "Madyson" appears to be linked with the goal-scoring prowess of the triumphant teams in the NCAA Field Hockey Div II finals.

Figure 1 presents our scatterplot, visually representing the strong correlation we uncovered. The scatterplot depicts the striking alignment of the prevalence of the name "Madyson" and the number of goals scored by the victorious teams, offering a compelling visual representation of this unexpected but intriguing relationship.

Our findings not only contribute to the unconventional terrain of sports analytics but also allude to the whimsical and often perplexing nature of statistical exploration. While the link between a name and athletic success may appear as incongruous as a player attempting a reverse stick shot with excessive spin, our research underscores the potential impact of seemingly arcane variables on sports achievements. Furthermore, our study invites contemplation on the often overlooked influences in the domain of sports analytics, emphasizing the need for statistical inquiry into unanticipated elements that may underpin athletic triumphs.

In summary, our statistical investigation unearths a peculiar yet compelling connection between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. This exploration champions the spirit of statistical inquiry, embracing the unexpected and prompting reflection on the intricacies of nomenclature trends in the realm of athletic accomplishments.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals. 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]]
"Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals"

[[ABSTRACT]]
This research paper presents a statistically sound investigation into the relationship between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. Utilizing data from the US Social Security Administration and NCAA, our research team employed rigorous statistical analysis to unravel this seemingly whimsical correlation. Surprisingly, our findings revealed a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01 for the years 1985 to 2022. While this connection may appear as elusive as a penalty corner goal, our study sheds light on the peculiar but intriguing relationship between nomenclature trends and athletic success. Our work not only advances the field of sports analytics but also inspires contemplation on the mystique of nomenclature and its potential impact on sports achievements.

[[LITERATURE REVIEW]]
To contextualize the exploration of the unconventional and seemingly whimsical correlation between the prevalence of the first name "Madyson" and the number of goals scored by victors in NCAA Field Hockey Div II finals, it is imperative to survey the existing literature on nomenclature trends and their potential impact on athletic success.
Smith and Doe (2015) undertook an extensive analysis of the social and psychological ramifications of name popularity, revealing intriguing sociocultural implications that may permeate into seemingly unrelated domains such as athletic competitions. Jones et al. (2018) further substantiated these findings by delving into the subconscious biases associated with particular names, shedding light on the potential psychological facets that could, albeit inadvertently, influence sports performance.
Turning our attention to more niche publications, "The Book of Names: Their Meanings, Origins, and Impact on Victorious Outcomes" by Johnson (2007) offers a comprehensive exploration of the historical significance and hidden connotations of names, hinting at the clandestine influence that nomenclature preferences may exert on various spheres, including athletic triumphs. In a similar vein, "The Power of Nomenclature: Unraveling the Mysteries of Title and Triumph" by Anderson (2013) delves into the esoteric intricacies of names and their purported impact on domains hitherto unexplored, including sports victories.
As we venture into a realm where statistical inquiry converges with whimsy and unanticipated connections, it is pertinent to acknowledge the potential sources of inspiration that may underpin this investigation. Drawing analogies from sources that may not appear prima facie relevant but harbor subtle correlations, the fictional works of "The Name Game: A Tale of Sporting Serendipity" by Roberts (1999) and "The Goal-Scoring Alphabet: A Novel Exploration of Nomenclature and Victory" by Davis (2011) provoke contemplation on the interplay between nomenclature and sporting achievements.
Moreover, in the spirit of uncovering unexpected parallels and connections, it behooves us to draw inspiration from unconventional sources. Board games such as "Name Quest: The Pursuit of Athletic Achievement" and "Goal Galore: A Game of Nomenclature and Victorious Pursuits" serve as whimsical proxies for the intricate web of associations we aim to disentangle, offering a lighthearted yet thought-provoking lens through which to view ostensibly incongruous relationships.
The divergent array of literature and sources referenced above sets the stage for our statistical expedition into the enigmatic realm of name popularity and its curious connection to the number of goals scored by triumphant teams in NCAA Field Hockey Div II finals. As we embark on this scholarly escapade, it is essential to maintain a discerning outlook while embracing the unexpected junctures and hidden revelations that may surface amidst our analytical odyssey.

[[RESULTS]]
Upon conducting our statistical analysis, we found a notable correlation between the popularity of the first name "Madyson" and the number of goals scored by the winning teams in NCAA Field Hockey Div II finals. The correlation coefficient was calculated to be 0.6389073, with an r-squared value of 0.4082025, and a p-value less than 0.01. These results suggest a moderate to strong positive relationship between the prevalence of the name "Madyson" and the success of the field hockey teams in scoring goals in the NCAA Division II finals.
In our exploration of this unorthodox relationship, we drew upon data spanning from 1985 to 2022, incorporating information from the US Social Security Administration and NCAA records. The comprehensive analysis of this multi-decadal dataset revealed a surprising and robust association, demonstrating that the popularity of the name "Madyson" appears to be linked with the goal-scoring prowess of the triumphant teams in the NCAA Field Hockey Div II finals.
Figure 1 presents our scatterplot, visually representing the strong correlation we uncovered. The scatterplot depicts the striking alignment of the prevalence of the name "Madyson" and the number of goals scored by the victorious teams, offering a compelling visual representation of this unexpected but intriguing relationship.
Our findings not only contribute to the unconventional terrain of sports analytics but also allude to the whimsical and often perplexing nature of statistical exploration. While the link between a name and athletic success may appear as incongruous as a player attempting a reverse stick shot with excessive spin, our research underscores the potential impact of seemingly arcane variables on sports achievements. Furthermore, our study invites contemplation on the often overlooked influences in the domain of sports analytics, emphasizing the need for statistical inquiry into unanticipated elements that may underpin athletic triumphs.
In summary, our statistical investigation unearths a peculiar yet compelling connection between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. This exploration champions the spirit of statistical inquiry, embracing the unexpected and prompting reflection on the intricacies of nomenclature trends in the realm of athletic accomplishments.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The pursuit of knowledge often leads us to unexpected places, and our exploration into the connection between the prevalence of the first name "Madyson" and the number of goals scored by triumphant teams in NCAA Field Hockey Div II finals certainly exemplifies this sentiment. Our findings revealed a striking correlation between these seemingly disparate variables, with a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01. This robust statistical relationship suggests that the popularity of the name "Madyson" is associated with the goal-scoring prowess of the victorious teams. These results not only emphasize the potential impact of nomenclature trends on athletic achievements but also underscore the whimsical and often surprising nature of statistical inquiry.

Our investigation builds upon prior research that has hinted at the societal and psychological implications of name popularity. While some may initially dismiss the idea of a bizarre connection between a first name and sports success, we cannot ignore the subtle but meaningful influences that nomenclature trends may exert. Smith and Doe's (2015) work on the social and psychological ramifications of name popularity serves as a thought-provoking backdrop to our findings, prompting us to delve deeper into the realm of unconventional correlations. Additionally, the esoteric exploration by Johnson (2007) into the historical significance and hidden connotations of names offers a compelling lens through which to view our results. Although it may sound far-fetched, the seemingly whimsical premise of our study is fortified by the robust statistical evidence unveiled in our analysis, echoing the sentiment that truth can indeed be stranger than fiction.

Furthermore, our research aligns with the lighthearted yet thought-provoking analogies drawn from unconventional sources in the literature review. Just as "The Goal-Scoring Alphabet" by Davis (2011) offered a novel perspective on nomenclature and success, our study demonstrates how seemingly unrelated variables may intertwine in unexpected ways. As we navigate the juncture where whimsy converges with statistical inquiry, our findings not only advance the field of sports analytics but also challenge preconceived notions about the potential influences on athletic triumphs. Our statistical expedition into this uncharted terrain exemplifies the essence of scholarly exploration, beckoning us to contemplate the intricate and often unanticipated connections that underpin our world.

In closing, our study signifies a playful yet meaningful venture into the enigmatic realm of name popularity and its curious association with the number of goals scored by victorious teams in NCAA Field Hockey Div II finals. We encourage further inquiry into other seemingly improbable correlations, as we continue to unravel the underlying intricacies of our world, one statistical analysis at a time.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Madyson and Number of goals scored by winners in NCAA Field Hockey Div II finals. 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]]
"Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals"

[[ABSTRACT]]
This research paper presents a statistically sound investigation into the relationship between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. Utilizing data from the US Social Security Administration and NCAA, our research team employed rigorous statistical analysis to unravel this seemingly whimsical correlation. Surprisingly, our findings revealed a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01 for the years 1985 to 2022. While this connection may appear as elusive as a penalty corner goal, our study sheds light on the peculiar but intriguing relationship between nomenclature trends and athletic success. Our work not only advances the field of sports analytics but also inspires contemplation on the mystique of nomenclature and its potential impact on sports achievements.

[[INTRDUCTION]]
In the world of sports analytics, researchers have delved into a myriad of factors that may influence athletic performance and success. From nutrition and physical conditioning to psychological factors and strategic game plans, the quest to unravel the predictors of victory has been as persistent as the pursuit of the perfect penalty stroke. Amidst this diverse landscape of potential influencers, one might not immediately expect to find a quirky and seemingly whimsical factor such as the popularity of a particular first name. However, as the old adage goes, "there's more than meets the eye," and our study delves into the curious relationship between the prevalence of the first name "Madyson" and the number of goals scored by the triumphant teams in NCAA Field Hockey Division II finals.
As researchers, we are often drawn to the unexpected and the unconventional, seeking to uncover hidden connections and unearth correlations that may at first appear as elusive as a game-winning goal. The intersection of nomenclature trends and athletic achievements may, at first glance, seem like an unlikely terrain for statistical exploration. Yet, as we delve into the data drawn from the US Social Security Administration and the NCAA, a compelling and significant association emerges, akin to an unexpected breakaway on the field. While the initial impulse might be to dismiss this correlation as pure coincidence, our rigorous statistical analyses provide compelling evidence to suggest otherwise.
Our study aims not only to present empirical evidence of this curious connection but also to provoke contemplation on the role of seemingly trivial or inexplicable elements in the realm of sports triumph. Through our meticulous data analysis, we seek to shed light on the intersection of nomenclature trends and athletic success, prompting further inquiry into the nuances of sports performance predictors. Moreover, this investigation contributes to the broader discourse on the influence of unconventional factors in the realm of analytics, emphasizing the need to consider diverse and unexpected variables in the pursuit of understanding athletic achievements.
As we embark on this statistical journey, we invite our readers to join us in unraveling the captivating relationship between a name and the elusive pursuit of victory in the realm of NCAA Field Hockey Division II finals. Just as a game of field hockey unfolds with unexpected twists and turns, our exploration of this peculiar correlation promises to offer both statistical insights and a touch of whimsy, reinforcing the notion that in the domain of sports analytics, surprises abound like unexpected penalty shootouts.

[[RESULTS]]
Upon conducting our statistical analysis, we found a notable correlation between the popularity of the first name "Madyson" and the number of goals scored by the winning teams in NCAA Field Hockey Div II finals. The correlation coefficient was calculated to be 0.6389073, with an r-squared value of 0.4082025, and a p-value less than 0.01. These results suggest a moderate to strong positive relationship between the prevalence of the name "Madyson" and the success of the field hockey teams in scoring goals in the NCAA Division II finals.
In our exploration of this unorthodox relationship, we drew upon data spanning from 1985 to 2022, incorporating information from the US Social Security Administration and NCAA records. The comprehensive analysis of this multi-decadal dataset revealed a surprising and robust association, demonstrating that the popularity of the name "Madyson" appears to be linked with the goal-scoring prowess of the triumphant teams in the NCAA Field Hockey Div II finals.
Figure 1 presents our scatterplot, visually representing the strong correlation we uncovered. The scatterplot depicts the striking alignment of the prevalence of the name "Madyson" and the number of goals scored by the victorious teams, offering a compelling visual representation of this unexpected but intriguing relationship.
Our findings not only contribute to the unconventional terrain of sports analytics but also allude to the whimsical and often perplexing nature of statistical exploration. While the link between a name and athletic success may appear as incongruous as a player attempting a reverse stick shot with excessive spin, our research underscores the potential impact of seemingly arcane variables on sports achievements. Furthermore, our study invites contemplation on the often overlooked influences in the domain of sports analytics, emphasizing the need for statistical inquiry into unanticipated elements that may underpin athletic triumphs.
In summary, our statistical investigation unearths a peculiar yet compelling connection between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. This exploration champions the spirit of statistical inquiry, embracing the unexpected and prompting reflection on the intricacies of nomenclature trends in the realm of athletic accomplishments.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study illuminates the unexpected convergence of nomenclature trends and athletic achievement, as evidenced by the striking correlation between the prevalence of the first name "Madyson" and the goal-scoring prowess of victorious teams in NCAA Field Hockey Division II finals. Our findings not only underscore the influence of seemingly whimsical variables on sports performance but also beckon further exploration of unconventional factors in the domain of sports analytics.

The robust correlation coefficient of 0.6389073 and the significant p-value of less than 0.01, while initially reminiscent of an improbable deflection goal, convincingly delineate the relationship between the popularity of the name "Madyson" and the number of goals scored by triumphant field hockey teams. This unexpected connection, reminiscent of an underdog team's meteoric rise in a championship tournament, challenges traditional notions of sports performance predictors and invites contemplation on the nuanced interplay of diverse influences.

While our study may elicit bemusement akin to a surprising shootout victory, it emphasizes the need to broaden the horizons of sports analytics, embracing unanticipated variables with the enthusiasm of a rookie player scoring their first collegiate goal. We urge further investigation into the impact of unconventional elements on athletic success, recognizing that statistical inquiry should encompass the quirks and curiosities that color the fabric of sports achievements.

In light of these revelatory findings, we assert that no further research is paramount in this curious area of study. Our work not only enriches the landscape of sports analytics but also imparts a touch of whimsy to the staid domain of statistical exploration. Just as a well-executed penalty stroke captivates spectators with its unexpected finesse, our research highlights the inherent intrigue of unorthodox correlations and the potential for unconventional factors to shape athletic triumphs.

It's time to blow the final whistle on this quirky investigation, savoring the statistical victory it represents and acknowledging the enduring resonance of the seemingly improbable. As we bid adieu to this peculiar exploration, we invoke the spirit of statistical inquiry to continue unraveling the enigmatic tapestry of sports achievements, embracing the idiosyncrasies that infuse this domain with a dash of unpredictability and mirth.

In summary, our research stands as a testament to the captivating interplay of the mundane and the extraordinary, proving that within the realm of statistics, as in the world of sports, the allure of the unexpected never fails to score.

No further research is needed in this area.


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 Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Sport Nameology


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 Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Social Naming 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 Mad for Madyson: A Goally Good Connection Between Name Popularity and Field Hockey Victories in NCAA Div II Finals with an abstract of This research paper presents a statistically sound investigation into the relationship between the popularity of the first name "Madyson" and the number of goals scored by the winners in NCAA Field Hockey Div II finals. Utilizing data from the US Social Security Administration and NCAA, our research team employed rigorous statistical analysis to unravel this seemingly whimsical correlation. Surprisingly, our findings revealed a correlation coefficient of 0.6389073 and a significant p-value of less than 0.01 for the years 1985 to 2022. While this connection may appear as elusive as a penalty corner goal, our study sheds light on the peculiar but intriguing relationship between nomenclature trends and athletic success. Our work not only advances the field of sports analytics but also inspires contemplation on the mystique of nomenclature and its potential impact on sports achievements.

ChatGPT:

"Madyson name popularity," "NCAA Field Hockey Div II finals," "statistical analysis correlation first names and sports victories," "US Social Security Administration data," "nomenclature trends," "sports analytics," "penalty corner goal," "athletic success and nomenclature."

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



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Data details

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

Number of goals scored by winners in NCAA Field Hockey Div II finals
Source: NCAA
See what else correlates with Number of goals scored by winners in NCAA Field Hockey Div II finals

Correlation r = 0.6389073 (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 = 0.4082025 (Coefficient of determination)
This means 40.8% of the change in the one variable (i.e., Number of goals scored by winners in NCAA Field Hockey Div II finals) is predictable based on the change in the other (i.e., Popularity of the first name Madyson) over the 38 years from 1985 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.6E-5. 0.0000158184469927696500000000
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 0.64 in 0.0016% of random cases. Said differently, if you correlated 63,217 random variables You don't actually need 63 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 37 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 37 because we have two variables measured over a period of 38 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.

[ 0.4, 0.8 ] 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.
19851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Popularity of the first name Madyson (Babies born)66710121630437491170201300371419588627659703663684780905825782695584479430395340279247214169123103112
Number of goals scored by winners in NCAA Field Hockey Div II finals (Goals scored)00000003221124224543215631151111311031




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([6,6,7,10,12,16,30,43,74,91,170,201,300,371,419,588,627,659,703,663,684,780,905,825,782,695,584,479,430,395,340,279,247,214,169,123,103,112,])
array_2 = np.array([0,0,0,0,0,0,0,3,2,2,1,1,2,4,2,2,4,5,4,3,2,1,5,6,3,1,1,5,1,1,1,1,3,1,1,0,3,1,])
array_1_name = "Popularity of the first name Madyson"
array_2_name = "Number of goals scored by winners in NCAA Field Hockey Div II finals"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)



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

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Correlation ID: 2933 · Black Variable ID: 3651 · Red Variable ID: 130
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