Spurious correlation #5,335 · 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 Tatum and the second variable is Votes for the Republican Presidential candidate in Minnesota. The chart goes from 1976 to 2020, 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 Tatum and the second variable is Votes for the Republican Presidential candidate in Minnesota. The chart goes from 1976 to 2020, and the two variables track closely in value over that time.

Download png, svg

AI explanation

More people were naming their children after Channing Tatum, who is known for his role in action movies. As a result, there was a subconscious association between the name Tatum and toughness, leading more voters to support the Republican candidate, who they perceived as the stronger choice. So, essentially, it was a Tatum Toughness Trickle-down effect!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a futuristic cyber folk gathering in Minnesota, featuring proud parents named Tatum standing alongside their daughters. The scene should convey a sense of strength and resilience as inspired by the tough characters portrayed by Channing Tatum in action movies. Show subtle hints alluding to the association of the name Tatum with toughness and its impact on the political landscape, reflecting a dynamic and enigmatic ambiance. 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 Tatum and Votes for the Republican Presidential candidate in Minnesota. 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: Art nouveau Steampunk Cyber folk Cyber folk Oragami
ChatGPT: Cyber folk

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 Tatum and Votes for the Republican Presidential candidate in Minnesota, in the following situation: More people were naming their children after Channing Tatum, who is known for his role in action movies. As a result, there was a subconscious association between the name Tatum and toughness, leading more voters to support the Republican candidate, who they perceived as the stronger choice. So, essentially, it was a Tatum Toughness Trickle-down effect!. Keep the description simple.
ChatGPT: In Minnesota, proud parents named their daughters Tatum after being inspired by the tough characters portrayed by Channing Tatum in action movies. As the name Tatum gained popularity, people subconsciously associated it with strength and resilience. This led to an increase in votes for the Republican Presidential candidate, as voters viewed the party as the stronger choice. It was as if the Tatum toughness trickled down to the political arena, shaping the voting trend.

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: [ Cyber folk ] and depicting this scene: In Minnesota, proud parents named their daughters Tatum after being inspired by the tough characters portrayed by Channing Tatum in action movies. As the name Tatum gained popularity, people subconsciously associated it with strength and resilience. This led to an increase in votes for the Republican Presidential candidate, as voters viewed the party as the stronger choice. It was as if the Tatum toughness trickled down to the political arena, shaping the voting trend. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic cyber folk gathering in Minnesota, featuring proud parents named Tatum standing alongside their daughters. The scene should convey a sense of strength and resilience as inspired by the tough characters portrayed by Channing Tatum in action movies. Show subtle hints alluding to the association of the name Tatum with toughness and its impact on the political landscape, reflecting a dynamic and enigmatic ambiance.

*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 an increase in Popularity of the first name Tatum caused Votes for the Republican Presidential candidate in Minnesota to increase.

AI academic paper

(Because p < 0.01)

A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota

Journal of Political Nomenclature and Ideological Trends

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 Tatum and Votes for the Republican Presidential candidate in Minnesota. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota

[[ABSTRACT]]
The present study delves into the captivating correlation between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in the state of Minnesota. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough investigation from 1976 to 2020. Our findings reveal a remarkably robust correlation coefficient of 0.9146595 with a significance level of p < 0.01, highlighting a substantial association between the two variables.

Despite the gravity of our results, we cannot help but interject a lighthearted note, much like the popular saying: "Tatum may not tip the scales, but it certainly seems to influence the ballots!" This pun, albeit jocular, reinforces the intriguing nature of our research, turning an otherwise dry topic into a source of amusement.

Delving further into our analysis, we challenge the conventional wisdom by unearthing a link between nomenclature and political preferences. As we bridge the realms of moniker preferences and electoral outcomes, our study uncovers a surprising facet of human behavior that extends beyond conventional political dynamics. These unexpected discoveries serve as a testament to the unpredictable and oft-quirky nature of social phenomena.

In conclusion, our findings not only shed light on the connection between name popularity and voting patterns but also serve as a reminder that even in serious academic research, a well-placed dad joke can add a touch of levity. After all, as the old adage goes, "Sometimes, a clever pun can make whimsical connections that statistical analyses alone cannot!"

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The study at hand seeks to unravel the inexplicable yet compelling connection between the popularity of the first name Tatum and the voting patterns for the Republican Presidential candidate in the state of Minnesota. This unconventional investigation into the interplay of nomenclature and politics aims to add a touch of mirth to the field of statistical analysis. As the saying goes, "It's statistically proven that those who have too much data are Tautum!"
By conducting an exhaustive examination spanning the years from 1976 to 2020, we endeavor to lend empirical credence to the adage, "What's in a name? Apparently, a few thousand Republican ballots in Minnesota!" This study stands as a testament to the whimsical and often unforeseeable undercurrents that dictate human behavior, much like the unpredictable nature of a statistical outlier - you never know where it might pop up!
Amidst the rigorous statistical analyses and thought-provoking revelations, we invite the reader to embrace the enjoyable incongruity of our findings, much like the unexpected delight of a statistically significant result in a sea of null hypotheses. After all, as researchers, we must never underestimate the persuasive power of a well-timed dad joke. Just as a well-constructed regression model reveals hidden relationships, a witty quip can illuminate the lightheartedness within the realms of serious inquiry.
So, as we embark on this intellectual journey, we implore the reader to approach our findings with a dash of humor and an appreciation for the unforeseen intersections of science and amusement. For, in the words of Sir Francis Bacon, "Some studies can only be conducted with a side of laughter!" And in our case, that study just happens to involve the correlation between a name and a vote.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Several studies have examined the relationship between first names and political affiliations, highlighting the profound impact of nomenclature on voting behavior (Smith et al., 2010; Doe, 2015; Jones, 2018). These academic undertakings have elucidated the intricate interplay between seemingly innocuous names and their unforeseen influence on electoral choices. The present study endeavors to contribute to this body of work by specifically investigating the association between the popularity of the first name Tatum and votes for the Republican Presidential candidate in the state of Minnesota.

On the surface, the notion of a name influencing political leanings may seem far-fetched, but as the saying goes, "You can't judge a vote by its Tatum!" This clever play on words encapsulates the essence of our investigation, where we endeavor to unravel the enigmatic allure of nomenclatural associations and their impact on electoral outcomes.

In "The Power of Names" and "Naming and Politics," the authors reveal the subtle yet substantial influence of names on various aspects of human behavior, including political inclinations (lorem, ipsum). These insightful works provide a comprehensive overview of the multifaceted role of names in shaping individual preferences and societal dynamics.

Furthermore, fictional works such as "Political Monikers: A Tale of Two Tates" and "The Tatum Paradox: A Political Odyssey" offer imaginative narratives that intricately weave the themes of nomenclature and political allegiances (lorem, ipsum). While these literary creations may be works of fiction, they nonetheless foster a thought-provoking exploration of the intersection between names and political associations, albeit in a more whimsical and speculative manner.

In the digital domain, internet memes such as "The Tatum Effect: From Names to Ballots" and "Republican Tatum Syndrome" humorously capture the zeitgeist of our investigation, blending popular culture with the scholarly pursuit of understanding the unexpected correlations in human behavior (lorem, ipsum). These memes serve as a reminder that even the most unconventional research endeavors can find resonance in the realm of online humor and social commentary.

Amidst the weighty analyses and scholarly discussions, it is important to acknowledge the role of humor in navigating the captivating terrain of nomenclature and political preferences. As the ancient proverb states, "A well-placed dad joke can turn a dry scholarly pursuit into a lighthearted expedition through the uncharted territories of statistical correlations."

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 Tatum and Votes for the Republican Presidential candidate in Minnesota. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1976 to 2020

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]]
A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota

[[ABSTRACT]]
The present study delves into the captivating correlation between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in the state of Minnesota. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough investigation from 1976 to 2020. Our findings reveal a remarkably robust correlation coefficient of 0.9146595 with a significance level of p < 0.01, highlighting a substantial association between the two variables.

Despite the gravity of our results, we cannot help but interject a lighthearted note, much like the popular saying: "Tatum may not tip the scales, but it certainly seems to influence the ballots!" This pun, albeit jocular, reinforces the intriguing nature of our research, turning an otherwise dry topic into a source of amusement.

Delving further into our analysis, we challenge the conventional wisdom by unearthing a link between nomenclature and political preferences. As we bridge the realms of moniker preferences and electoral outcomes, our study uncovers a surprising facet of human behavior that extends beyond conventional political dynamics. These unexpected discoveries serve as a testament to the unpredictable and oft-quirky nature of social phenomena.

In conclusion, our findings not only shed light on the connection between name popularity and voting patterns but also serve as a reminder that even in serious academic research, a well-placed dad joke can add a touch of levity. After all, as the old adage goes, "Sometimes, a clever pun can make whimsical connections that statistical analyses alone cannot!"

[[INTRODUCTION]]
The study at hand seeks to unravel the inexplicable yet compelling connection between the popularity of the first name Tatum and the voting patterns for the Republican Presidential candidate in the state of Minnesota. This unconventional investigation into the interplay of nomenclature and politics aims to add a touch of mirth to the field of statistical analysis. As the saying goes, "It's statistically proven that those who have too much data are Tautum!"
By conducting an exhaustive examination spanning the years from 1976 to 2020, we endeavor to lend empirical credence to the adage, "What's in a name? Apparently, a few thousand Republican ballots in Minnesota!" This study stands as a testament to the whimsical and often unforeseeable undercurrents that dictate human behavior, much like the unpredictable nature of a statistical outlier - you never know where it might pop up!
Amidst the rigorous statistical analyses and thought-provoking revelations, we invite the reader to embrace the enjoyable incongruity of our findings, much like the unexpected delight of a statistically significant result in a sea of null hypotheses. After all, as researchers, we must never underestimate the persuasive power of a well-timed dad joke. Just as a well-constructed regression model reveals hidden relationships, a witty quip can illuminate the lightheartedness within the realms of serious inquiry.
So, as we embark on this intellectual journey, we implore the reader to approach our findings with a dash of humor and an appreciation for the unforeseen intersections of science and amusement. For, in the words of Sir Francis Bacon, "Some studies can only be conducted with a side of laughter!" And in our case, that study just happens to involve the correlation between a name and a vote.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The methodology employed in this research endeavor sought to navigate the labyrinthine landscape of name popularity and political leanings by employing a multifaceted approach. Our initial step involved harnessing data from the US Social Security Administration, which provided a comprehensive repository of first name frequencies over the past few decades. We combed through this treasure trove of nomenclature with the diligence of a terminologist in search of the proverbial needle in a haystack - or should we say, a "Tatum" amidst a myriad of monikers!

Once armed with the first name data, we proceeded to delve into the electoral sphere by extracting voting records for the Republican Presidential candidate in the state of Minnesota from the MIT Election Data and Science Lab, Harvard Dataverse. In doing so, we navigated the digital corridors of democracy with the agility of a political pundit in pursuit of a telling trend. "Analyzing this data was quite the 'Tatum' task, but we approached it with the same precision as a surgeon in an operating room," we quipped during our team meetings, each time eliciting a chuckle from the group.

Having amassed the requisite datasets, we undertook a thorough data cleansing process to ensure the integrity and homogeneity of our inputs. Carefully removing any outliers and inconsistencies, we meticulously curated the information with the fastidiousness of a sommelier selecting the finest vintage - or as we jestingly referred to it, "sifting through the data like a 'Tatum' of gold in a statistical stream."

With our cleansed data in hand, we ventured into the realm of statistical analysis, implementing a rigorous regression model to elucidate the relationship between Tatum's popularity and Republican votes in Minnesota. Our model, akin to a scientific Sherlock Holmes, scrutinized the data for any traces of correlation, all the while keeping a watchful eye on the significance levels. "It was a real statistical 'Tatum' – finding the connection required navigating through a maze of variables, akin to a scientific scavenger hunt," we jested in our research group, relishing the opportunity to infuse levity into our analytical endeavors.

In addition to our statistical approach, we also conducted an exploratory analysis to uncover any subtleties or idiosyncrasies within the data. This involved engaging in spirited debates about whether the correlation could be attributed to Tatum O'Neal's Oscar win, or perhaps the allure of Channing Tatum's rugged charm. "Unearthing these potential influences was like untangling a statistical 'Tatum' - a captivating mystery that kept us on the edge of our seats!" we quipped during our analysis meetings, eliciting wry smiles from our team members.

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 Tatum and Votes for the Republican Presidential candidate in Minnesota. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota

[[ABSTRACT]]
The present study delves into the captivating correlation between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in the state of Minnesota. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough investigation from 1976 to 2020. Our findings reveal a remarkably robust correlation coefficient of 0.9146595 with a significance level of p < 0.01, highlighting a substantial association between the two variables.

Despite the gravity of our results, we cannot help but interject a lighthearted note, much like the popular saying: "Tatum may not tip the scales, but it certainly seems to influence the ballots!" This pun, albeit jocular, reinforces the intriguing nature of our research, turning an otherwise dry topic into a source of amusement.

Delving further into our analysis, we challenge the conventional wisdom by unearthing a link between nomenclature and political preferences. As we bridge the realms of moniker preferences and electoral outcomes, our study uncovers a surprising facet of human behavior that extends beyond conventional political dynamics. These unexpected discoveries serve as a testament to the unpredictable and oft-quirky nature of social phenomena.

In conclusion, our findings not only shed light on the connection between name popularity and voting patterns but also serve as a reminder that even in serious academic research, a well-placed dad joke can add a touch of levity. After all, as the old adage goes, "Sometimes, a clever pun can make whimsical connections that statistical analyses alone cannot!"

[[LITERATURE REVIEW]]
Several studies have examined the relationship between first names and political affiliations, highlighting the profound impact of nomenclature on voting behavior (Smith et al., 2010; Doe, 2015; Jones, 2018). These academic undertakings have elucidated the intricate interplay between seemingly innocuous names and their unforeseen influence on electoral choices. The present study endeavors to contribute to this body of work by specifically investigating the association between the popularity of the first name Tatum and votes for the Republican Presidential candidate in the state of Minnesota.
On the surface, the notion of a name influencing political leanings may seem far-fetched, but as the saying goes, "You can't judge a vote by its Tatum!" This clever play on words encapsulates the essence of our investigation, where we endeavor to unravel the enigmatic allure of nomenclatural associations and their impact on electoral outcomes.
In "The Power of Names" and "Naming and Politics," the authors reveal the subtle yet substantial influence of names on various aspects of human behavior, including political inclinations (lorem, ipsum). These insightful works provide a comprehensive overview of the multifaceted role of names in shaping individual preferences and societal dynamics.
Furthermore, fictional works such as "Political Monikers: A Tale of Two Tates" and "The Tatum Paradox: A Political Odyssey" offer imaginative narratives that intricately weave the themes of nomenclature and political allegiances (lorem, ipsum). While these literary creations may be works of fiction, they nonetheless foster a thought-provoking exploration of the intersection between names and political associations, albeit in a more whimsical and speculative manner.
In the digital domain, internet memes such as "The Tatum Effect: From Names to Ballots" and "Republican Tatum Syndrome" humorously capture the zeitgeist of our investigation, blending popular culture with the scholarly pursuit of understanding the unexpected correlations in human behavior (lorem, ipsum). These memes serve as a reminder that even the most unconventional research endeavors can find resonance in the realm of online humor and social commentary.
Amidst the weighty analyses and scholarly discussions, it is important to acknowledge the role of humor in navigating the captivating terrain of nomenclature and political preferences. As the ancient proverb states, "A well-placed dad joke can turn a dry scholarly pursuit into a lighthearted expedition through the uncharted territories of statistical correlations."

[[RESULTS]]
The analysis of the connection between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in Minnesota yielded a remarkably strong correlation coefficient of 0.9146595. This finding prompts one to ponder, "Does the name Tatum carry an implicit elephant (or perhaps an elephant party symbol) in the room?"
The r-squared value of 0.8366020 indicates that a substantial proportion of the variation in Republican votes in Minnesota can be explained by the popularity of the name Tatum. One might jest, "It appears that in the Land of 10,000 Lakes, the name Tatum is making quite the, shall we say, significant splash in the political pool!"
The p-value of less than 0.01 underscores the statistical significance of this correlation, leading us to mull over the possibility of a "Tatum Effect" on electoral preferences. This prompts one to quip, "It seems that in the arena of politics, the Tatum name isn't just a footnote – it's a significant figure!"
In Figure 1, the scatterplot visually depicts the robust relationship between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in Minnesota. This compelling illustration serves as a poignant reminder that behind every statistically significant finding lies a data point that, like a good dad joke, never fails to amuse and intrigue.
In summary, the results of this study uncover an unexpected and humorously compelling association between the popularity of the name Tatum and political preferences in Minnesota. These findings not only offer valuable insights into the peculiarities of human behavior but also highlight the undeniable influence of a well-placed pun in the realm of scholarly endeavors.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study contribute to an emerging body of research that explores the curious connection between nomenclature and political affiliations. Our findings align with prior studies that have highlighted the unforeseen impact of names on electoral choices (Smith et al., 2010; Doe, 2015; Jones, 2018) and support the intriguing premise that a name can indeed hold sway over political leanings. Much like a carefully timed dad joke, our research sheds light on the unexpected and whimsical aspects of statistical associations.

Our investigation uncovered a strikingly robust correlation coefficient of 0.9146595, signaling a substantial relationship between the popularity of the first name Tatum and votes for the Republican Presidential candidate in Minnesota. This statistically significant finding bolsters the notion that a name, even one as charming as "Tatum," can exert a palpable influence on electoral preferences. It seems that in the realm of politics, the name Tatum may be aptly dubbed the "Republican Whisperer"!

The r-squared value of 0.8366020 further underscores the considerable proportion of variation in Republican votes in Minnesota that can be elucidated by the popularity of the name Tatum. One could jest that the Tatum effect is akin to a compelling political narrative, weaving its influence through the fabric of electoral dynamics, much like a riveting plot twist in a well-crafted joke.

The significance level of p < 0.01 unequivocally accentuates the robustness of the correlation, emphasizing the noteworthy impact of the Tatum phenomenon on political inclinations in the enthusiastic state of Minnesota. It appears that in the Land of 10,000 Lakes, the name Tatum may very well be synonymous with a "political wave," surging through the electorate with persuasive prowess.

In light of these revelatory findings, we are reminded of the apt adage: "There's more to a name than meets the eye, especially when it comes to electoral surprises!" This resonates with the deeper implications of our research, wherein the seemingly inconspicuous variable of a first name emerges as a compelling predictor of political preferences. Just as a crafty pun can inject humor into a serious discourse, our study injects a dash of intrigue into the often staid domain of statistical analyses.

In conclusion, our study lends empirical support to the enthralling link between the popularity of the first name Tatum and votes for the Republican Presidential candidate in Minnesota. As we delve deeper into the enigmatic terrain of nomenclatural influences, we are reminded of the whimsical and unforeseeable facets of human behavior, a reminder that even in the pursuit of serious academic inquiry, a well-placed dad joke can illuminate the unlikeliest of connections. After all, in the words of the wise, "When in doubt, let the data – and a good pun – speak for themselves!"

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 Tatum and Votes for the Republican Presidential candidate in Minnesota. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota

[[ABSTRACT]]
The present study delves into the captivating correlation between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in the state of Minnesota. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough investigation from 1976 to 2020. Our findings reveal a remarkably robust correlation coefficient of 0.9146595 with a significance level of p < 0.01, highlighting a substantial association between the two variables.

Despite the gravity of our results, we cannot help but interject a lighthearted note, much like the popular saying: "Tatum may not tip the scales, but it certainly seems to influence the ballots!" This pun, albeit jocular, reinforces the intriguing nature of our research, turning an otherwise dry topic into a source of amusement.

Delving further into our analysis, we challenge the conventional wisdom by unearthing a link between nomenclature and political preferences. As we bridge the realms of moniker preferences and electoral outcomes, our study uncovers a surprising facet of human behavior that extends beyond conventional political dynamics. These unexpected discoveries serve as a testament to the unpredictable and oft-quirky nature of social phenomena.

In conclusion, our findings not only shed light on the connection between name popularity and voting patterns but also serve as a reminder that even in serious academic research, a well-placed dad joke can add a touch of levity. After all, as the old adage goes, "Sometimes, a clever pun can make whimsical connections that statistical analyses alone cannot!"

[[INTRDUCTION]]
The study at hand seeks to unravel the inexplicable yet compelling connection between the popularity of the first name Tatum and the voting patterns for the Republican Presidential candidate in the state of Minnesota. This unconventional investigation into the interplay of nomenclature and politics aims to add a touch of mirth to the field of statistical analysis. As the saying goes, "It's statistically proven that those who have too much data are Tautum!"
By conducting an exhaustive examination spanning the years from 1976 to 2020, we endeavor to lend empirical credence to the adage, "What's in a name? Apparently, a few thousand Republican ballots in Minnesota!" This study stands as a testament to the whimsical and often unforeseeable undercurrents that dictate human behavior, much like the unpredictable nature of a statistical outlier - you never know where it might pop up!
Amidst the rigorous statistical analyses and thought-provoking revelations, we invite the reader to embrace the enjoyable incongruity of our findings, much like the unexpected delight of a statistically significant result in a sea of null hypotheses. After all, as researchers, we must never underestimate the persuasive power of a well-timed dad joke. Just as a well-constructed regression model reveals hidden relationships, a witty quip can illuminate the lightheartedness within the realms of serious inquiry.
So, as we embark on this intellectual journey, we implore the reader to approach our findings with a dash of humor and an appreciation for the unforeseen intersections of science and amusement. For, in the words of Sir Francis Bacon, "Some studies can only be conducted with a side of laughter!" And in our case, that study just happens to involve the correlation between a name and a vote.

[[RESULTS]]
The analysis of the connection between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in Minnesota yielded a remarkably strong correlation coefficient of 0.9146595. This finding prompts one to ponder, "Does the name Tatum carry an implicit elephant (or perhaps an elephant party symbol) in the room?"
The r-squared value of 0.8366020 indicates that a substantial proportion of the variation in Republican votes in Minnesota can be explained by the popularity of the name Tatum. One might jest, "It appears that in the Land of 10,000 Lakes, the name Tatum is making quite the, shall we say, significant splash in the political pool!"
The p-value of less than 0.01 underscores the statistical significance of this correlation, leading us to mull over the possibility of a "Tatum Effect" on electoral preferences. This prompts one to quip, "It seems that in the arena of politics, the Tatum name isn't just a footnote – it's a significant figure!"
In Figure 1, the scatterplot visually depicts the robust relationship between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in Minnesota. This compelling illustration serves as a poignant reminder that behind every statistically significant finding lies a data point that, like a good dad joke, never fails to amuse and intrigue.
In summary, the results of this study uncover an unexpected and humorously compelling association between the popularity of the name Tatum and political preferences in Minnesota. These findings not only offer valuable insights into the peculiarities of human behavior but also highlight the undeniable influence of a well-placed pun in the realm of scholarly endeavors.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In closing, the findings of this investigation present a peculiar yet substantiated link between the popularity of the name Tatum and votes for the Republican Presidential candidate in Minnesota. It seems that in the state of Minnesota, the name Tatum holds a considerable sway over political inclinations. One might jest, "It appears that Tatum is proving to be a 'republican favorite' in more ways than one – both in name and in ballot!"

The robust correlation coefficient, substantial r-squared value, and the strikingly low p-value all point to a compelling connection that cannot be disregarded. It seems that in statistical terms, the Tatum name has certainly made itself quite the prominent variable in the political equation – or should we say, the "Tatum equation"!

Moreover, the scatterplot visually encapsulates the undeniable relationship, adding a touch of whimsy to the otherwise serious realm of statistical analysis. It's as if the scatterplot is saying, "Despite the gravity of the findings, here's a visual reminder that even in data points, there's room for a little statistical comedy!"

Ultimately, this study not only sheds light on the intersection of nomenclature and political preferences but also emphasizes the unforeseen and often comical aspects of human behavior. It seems that in the realm of social science research, a well-placed dad joke can serve as a proverbial cherry on top of a statistically significant sundae. "After all," as the old saying goes, "a good pun is its own reword!"

In conclusion, based on the compelling findings and the undeniable influence of the Tatum name on political preferences, it seems that no further research is needed in this area. As researchers, we must acknowledge when a topic has been thoroughly and, dare we say, humorously explored. After all, "When a topic has been so thoroughly researched, there's no need to beat a Tatum horse!"

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 A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Political Nomenclature and Ideological Trends

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 A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Cognitive and Political Name Analysis

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 A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota with an abstract of The present study delves into the captivating correlation between the popularity of the first name Tatum and the votes for the Republican Presidential candidate in the state of Minnesota. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough investigation from 1976 to 2020. Our findings reveal a remarkably robust correlation coefficient of 0.9146595 with a significance level of p < 0.01, highlighting a substantial association between the two variables.
Despite the gravity of our results, we cannot help but interject a lighthearted note, much like the popular saying: "Tatum may not tip the scales, but it certainly seems to influence the ballots!" This pun, albeit jocular, reinforces the intriguing nature of our research, turning an otherwise dry topic into a source of amusement.
Delving further into our analysis, we challenge the conventional wisdom by unearthing a link between nomenclature and political preferences. As we bridge the realms of moniker preferences and electoral outcomes, our study uncovers a surprising facet of human behavior that extends beyond conventional political dynamics. These unexpected discoveries serve as a testament to the unpredictable and oft-quirky nature of social phenomena.
In conclusion, our findings not only shed light on the connection between name popularity and voting patterns but also serve as a reminder that even in serious academic research, a well-placed dad joke can add a touch of levity. After all, as the old adage goes, "Sometimes, a clever pun can make whimsical connections that statistical analyses alone cannot!

ChatGPT:

Tatum, Republican, success, name popularity, political leanings, Minnesota, correlation, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse, moniker preferences, electoral outcomes, voting patterns, statistical analysis, human behavior, social phenomena, political preferences

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

Votes for the Republican Presidential candidate in Minnesota
Detailed data title: Total votes cast for the Republican Presidential candidate in Minnesota
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Republican Presidential candidate in Minnesota

Correlation r = 0.9146595 (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 = 0.8366020 (Coefficient of determination)
This means 83.7% of the change in the one variable (i.e., Votes for the Republican Presidential candidate in Minnesota) is predictable based on the change in the other (i.e., Popularity of the first name Tatum) over the 12 years from 1976 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.08E-5.^Show 0.0000308482882539680400000000
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 0.91 in 0.00308% of random cases. Said differently, if you correlated 32,417 random variables^Note You don't actually need 32 thousand variables to find a correlation like this one. You can also correlate variables that are not independent. I do this a lot.

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 11 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.72, 0.98 ] 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.

	1976	1980	1984	1988	1992	1996	2000	2004	2008	2012	2016	2020
Popularity of the first name Tatum (Babies born)	88	121	62	76	136	230	718	885	1019	1371	1191	1499
Votes for the Republican Presidential candidate in Minnesota (Total votes)	819395	873268	1032600	962337	747841	766395	1109660	1346700	1275410	1320220	1322950	1484060

Why this works

Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

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([88,121,62,76,136,230,718,885,1019,1371,1191,1499,])
array_2 = np.array([819395,873268,1032600,962337,747841,766395,1109660,1346700,1275410,1320220,1322950,1484060,])
array_1_name = "Popularity of the first name Tatum"
array_2_name = "Votes for the Republican Presidential candidate in Minnesota"

# 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 Tatum
Line chart for only Votes for the Republican Presidential candidate in Minnesota
AI-generated correlation image
The spurious research paper: A Tatum for Republican Success: An Analysis of the Connection Between Name Popularity and Political Leanings in Minnesota

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Correlation ID: 5335 · Black Variable ID: 3518 · Red Variable ID: 25995


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