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Spurious correlation #4,454 · 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 Danica and the second variable is Libertarian votes for Senators in Connecticut.  The chart goes from 1980 to 2018, and the two variables track closely in value over that time. Small Image

AI explanation

The theory of "Danica-ism" emerged, which promotes a platform of racing for personal freedom. As the name Danica gained popularity, more people embraced this ideology, leading to an unexpected surge in Libertarian votes for Senators in Connecticut. It seems that the connection between Danica and driving towards political independence was too strong to ignore! Remember, always buckle up for liberty!

Model: dalle-3
Prompt: Generate an image that looks like it is a scene from 'Star Wars', showing a bustling town square on a distant planet. In the midst of the crowded square, a large banner proudly displaying the name "Danica" in bold letters is hanging. Groups of passionate individuals, their clothing with the word "Liberty" on it, are gathered around a podium, speaking fervently. In the background, voting booths are bustling with activity as aliens and humans cast their ballots. A convoy of hover cars sporting "Danica-ism" bumper stickers cruises by, and their drivers wave banners reading "Drive for Freedom" in various alien languages. The air is filled with a sense of excitement and determination, as the link between the popularity of the name Danica and the surge in Libertarian votes for planetary Senators becomes evident. 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 Danica and Libertarian votes for Senators in Connecticut. 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 funny image macro Celtic art Hyper-realistic An image that looks like it is a scene from 'Star Wars' Cute 2D animation
ChatGPT: An image that looks like it is a scene from 'Star Wars'

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 Danica and Libertarian votes for Senators in Connecticut, in the following situation: The theory of "Danica-ism" emerged, which promotes a platform of racing for personal freedom. As the name Danica gained popularity, more people embraced this ideology, leading to an unexpected surge in Libertarian votes for Senators in Connecticut. It seems that the connection between Danica and driving towards political independence was too strong to ignore! Remember, always buckle up for liberty!. Keep the description simple.
ChatGPT: In a crowded town square, a large banner with the name "Danica" in bold letters hangs proudly. A group of passionate individuals wearing hats with the word "Liberty" written on them gather around a podium. In the background, voting booths are bustling with activity as people cast their ballots. A convoy of cars sporting "Danica-ism" bumper stickers cruises by, their drivers waving banners that read "Drive for Freedom." The air is filled with a sense of excitement and determination as the connection between the popularity of the name Danica and the surge in Libertarian votes for Senators in Connecticut becomes evident.

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: [ An image that looks like it is a scene from 'Star Wars' ] and depicting this scene: In a crowded town square, a large banner with the name "Danica" in bold letters hangs proudly. A group of passionate individuals wearing hats with the word "Liberty" written on them gather around a podium. In the background, voting booths are bustling with activity as people cast their ballots. A convoy of cars sporting "Danica-ism" bumper stickers cruises by, their drivers waving banners that read "Drive for Freedom." The air is filled with a sense of excitement and determination as the connection between the popularity of the name Danica and the surge in Libertarian votes for Senators in Connecticut becomes evident. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that looks like it is a scene from 'Star Wars', showing a bustling town square on a distant planet. In the midst of the crowded square, a large banner proudly displaying the name "Danica" in bold letters is hanging. Groups of passionate individuals, their clothing with the word "Liberty" on it, are gathered around a podium, speaking fervently. In the background, voting booths are bustling with activity as aliens and humans cast their ballots. A convoy of hover cars sporting "Danica-ism" bumper stickers cruises by, and their drivers wave banners reading "Drive for Freedom" in various alien languages. The air is filled with a sense of excitement and determination, as the link between the popularity of the name Danica and the surge in Libertarian votes for planetary Senators becomes evident.

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

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

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

AI academic paper

(Because p < 0.01)
Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut

The Journal of Political Quirkiness

Jan 2024
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 Danica and Libertarian votes for Senators in Connecticut. Make lots of jokes, goofy observations, and puns.

Make the title punny if you can come up with clever pun. If not, just make it sound clever.

Your research team used data from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse to assess this nagging question. You found a correlation coefficient of 0.9310188 and p < 0.01 for 1980 to 2018.

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]]
"Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut"

[[ABSTRACT]]
This paper delves into the largely unexplored intersection of popularity of the first name Danica and its potential impact on Libertarian votes for Senators in Connecticut. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, our research team meticulously analyzed trends from 1980 to 2018. The results revealed a remarkably high correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01. Our findings suggest a noteworthy association between the prevalence of the name Danica and the propensity of Connecticut voters to lean towards Libertarian candidates. This research not only sheds light on the whimsical influence of nomenclature in politics but also demonstrates the potential for hilarity amidst the seriousness of statistical analysis.


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 Danica and Libertarian votes for Senators in Connecticut. Make lots of 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]]
"Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut"

[[ABSTRACT]]
This paper delves into the largely unexplored intersection of popularity of the first name Danica and its potential impact on Libertarian votes for Senators in Connecticut. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, our research team meticulously analyzed trends from 1980 to 2018. The results revealed a remarkably high correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01. Our findings suggest a noteworthy association between the prevalence of the name Danica and the propensity of Connecticut voters to lean towards Libertarian candidates. This research not only sheds light on the whimsical influence of nomenclature in politics but also demonstrates the potential for hilarity amidst the seriousness of statistical analysis.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The relationship between first names and political behavior has long been a subject of curious intrigue. While the idea of names influencing political preferences may sound like the premise of a far-fetched sitcom plot, our research endeavors to bring a discerning and empirical lens to this whimsical endeavor. Specifically, we aim to unravel the peculiar correlation between the ascendant popularity of the name "Danica" and the manifestation of Libertarian voting tendencies in Connecticut senatorial elections.

Across the annals of history, names have often been imbued with symbolic weight, ranging from auspicious connotations to ignominious associations. The shift in popularity of certain names over time can invoke quizzical ponderings regarding societal attitudes, cultural trends, and, as our study postulates, political inclinations.

As we embark on this quirky expedition into the world of nomenclature and electoral behavior, it is imperative to acknowledge the dual facets of our investigation. On one hand, we approach the subject matter with the gravitas befitting a scholarly pursuit, adhering to established statistical methodologies and rigorous analytical frameworks. On the other hand, we embrace the delightful absurdity inherent in the juxtaposition of the name "Danica" and Libertarian voting patterns, imparting a touch of levity to our scholarly pursuits.

At the outset, it is paramount to highlight the profoundly narrow ambit of our inquiry. Focusing exclusively on the state of Connecticut, our study provides a microcosmic lens through which to scrutinize the potential interplay between a name trend and political peculiarities. By concentrating on a state renowned for its idiosyncratic political landscape, we hope to ascertain whether the burgeoning prominence of the name "Danica" exerts a discernible influence on the electorate's predilection for Libertarian candidates.

Our examination draws its foundation from meticulously curated data sourced from the US Social Security Administration, offering insights into the prevalence of the name "Danica" over the selected timeframe. Concurrently, leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, we dissect the labyrinthine electoral records to discern the undulating tides of Libertarian support in Connecticut senatorial races. Through this symbiotic synthesis of demography and electoral statistics, we endeavor to illuminate the quirky intersection of nomenclature and political predilections.

As we juxtapose the earnest pursuit of scholarly inquiry with the humorous undertones inherent in our subject matter, we anticipate that the findings of our research will not only unravel an unexpected correlation but also unfold a narrative imbued with whimsy and mirth. With a discerning eye and a dash of levity, our study endeavors to unveil the enigmatic "Danica Effect" and its potential repercussions in the convoluted tapestry of electoral dynamics.


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 Danica and Libertarian votes for Senators in Connecticut. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
"Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut"

[[ABSTRACT]]
This paper delves into the largely unexplored intersection of popularity of the first name Danica and its potential impact on Libertarian votes for Senators in Connecticut. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, our research team meticulously analyzed trends from 1980 to 2018. The results revealed a remarkably high correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01. Our findings suggest a noteworthy association between the prevalence of the name Danica and the propensity of Connecticut voters to lean towards Libertarian candidates. This research not only sheds light on the whimsical influence of nomenclature in politics but also demonstrates the potential for hilarity amidst the seriousness of statistical analysis.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between first names and political behavior has long been a subject of curious intrigue. While the idea of names influencing political preferences may sound like the premise of a far-fetched sitcom plot, our research endeavors to bring a discerning and empirical lens to this whimsical endeavor. Specifically, we aim to unravel the peculiar correlation between the ascendant popularity of the name "Danica" and the manifestation of Libertarian voting tendencies in Connecticut senatorial elections.
Across the annals of history, names have often been imbued with symbolic weight, ranging from auspicious connotations to ignominious associations. The shift in popularity of certain names over time can invoke quizzical ponderings regarding societal attitudes, cultural trends, and, as our study postulates, political inclinations.
As we embark on this quirky expedition into the world of nomenclature and electoral behavior, it is imperative to acknowledge the dual facets of our investigation. On one hand, we approach the subject matter with the gravitas befitting a scholarly pursuit, adhering to established statistical methodologies and rigorous analytical frameworks. On the other hand, we embrace the delightful absurdity inherent in the juxtaposition of the name "Danica" and Libertarian voting patterns, imparting a touch of levity to our scholarly pursuits.
At the outset, it is paramount to highlight the profoundly narrow ambit of our inquiry. Focusing exclusively on the state of Connecticut, our study provides a microcosmic lens through which to scrutinize the potential interplay between a name trend and political peculiarities. By concentrating on a state renowned for its idiosyncratic political landscape, we hope to ascertain whether the burgeoning prominence of the name "Danica" exerts a discernible influence on the electorate's predilection for Libertarian candidates.
Our examination draws its foundation from meticulously curated data sourced from the US Social Security Administration, offering insights into the prevalence of the name "Danica" over the selected timeframe. Concurrently, leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, we dissect the labyrinthine electoral records to discern the undulating tides of Libertarian support in Connecticut senatorial races. Through this symbiotic synthesis of demography and electoral statistics, we endeavor to illuminate the quirky intersection of nomenclature and political predilections.
As we juxtapose the earnest pursuit of scholarly inquiry with the humorous undertones inherent in our subject matter, we anticipate that the findings of our research will not only unravel an unexpected correlation but also unfold a narrative imbued with whimsy and mirth. With a discerning eye and a dash of levity, our study endeavors to unveil the enigmatic "Danica Effect" and its potential repercussions in the convoluted tapestry of electoral dynamics.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The correlation between first names and political proclivities is a topic that has not been widely explored in scholarly literature, leaving ample room for mirthful speculation and, dare I say, pun-derful hypotheses. Our research embarks upon this uncharted terrain, aiming to add a whimsically empirical facet to this peculiar domain of study. We begin with a review of studies that discuss the influence of names on societal, cultural, and political spheres.

In "Smith," the authors examine the cultural connotations and symbolic weight associated with names across various historical and contemporary contexts. Similarly, "Doe" delves into the social psychology of nomenclature and its impact on individual identity and group dynamics. While these studies offer insightful perspectives on the broader implications of names in society, they regrettably neglect to address the specific correlation between the popularity of the name "Danica" and Libertarian voting patterns in Connecticut, leaving a conspicuous gap in the literature.

Turning to non-fiction works, "Freakonomics" by Steven D. Levitt and Stephen J. Dubner and "Nudge" by Richard H. Thaler and Cass R. Sunstein provide intriguing insights into the hidden influences that shape human behavior. Although not directly related to the peculiar "Danica Effect," these books serve as a reminder that the seemingly inexplicable can often be illuminated through rigorous analysis and an ample dose of whimsy.

On the fiction front, the literary works of Dan Brown, particularly "The Da Vinci Code," evoke themes of intrigue, clandestine conundrums, and cryptic symbols—elements somewhat reminiscent of the enigmatic correlation we seek to unravel. Furthermore, the dystopian themes in George Orwell's "1984" and Margaret Atwood's "The Handmaid's Tale" offer a prescient commentary on the potential dangers of societal manipulation, albeit in realms far removed from the jovial realm of names and political proclivities.

In a more contemporary twist, the authors of this paper draw inspiration from children's shows such as "Dora the Explorer." While ostensibly unrelated to our scholarly pursuits, the intrepid nature of Dora and her insatiable curiosity serve as a reminder of the importance of inquisitiveness and unorthodox explorations in scholarly endeavors.

As we navigate this scholarly cornucopia, our research endeavors to blend the rigors of statistical analysis with a dash of levity, offering an unconventional lens through which to decipher the whimsical nuances of nomenclature and electoral behavior. With a nod to the serious and a wink to the absurd, our literature review sets the stage for the enthralling revelations that await in the subsequent sections of our paper.


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 Danica and Libertarian votes for Senators in Connecticut. Make lots of 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 MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1980 to 2018

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]]
"Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut"

[[ABSTRACT]]
This paper delves into the largely unexplored intersection of popularity of the first name Danica and its potential impact on Libertarian votes for Senators in Connecticut. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, our research team meticulously analyzed trends from 1980 to 2018. The results revealed a remarkably high correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01. Our findings suggest a noteworthy association between the prevalence of the name Danica and the propensity of Connecticut voters to lean towards Libertarian candidates. This research not only sheds light on the whimsical influence of nomenclature in politics but also demonstrates the potential for hilarity amidst the seriousness of statistical analysis.

[[INTRODUCTION]]
The relationship between first names and political behavior has long been a subject of curious intrigue. While the idea of names influencing political preferences may sound like the premise of a far-fetched sitcom plot, our research endeavors to bring a discerning and empirical lens to this whimsical endeavor. Specifically, we aim to unravel the peculiar correlation between the ascendant popularity of the name "Danica" and the manifestation of Libertarian voting tendencies in Connecticut senatorial elections.
Across the annals of history, names have often been imbued with symbolic weight, ranging from auspicious connotations to ignominious associations. The shift in popularity of certain names over time can invoke quizzical ponderings regarding societal attitudes, cultural trends, and, as our study postulates, political inclinations.
As we embark on this quirky expedition into the world of nomenclature and electoral behavior, it is imperative to acknowledge the dual facets of our investigation. On one hand, we approach the subject matter with the gravitas befitting a scholarly pursuit, adhering to established statistical methodologies and rigorous analytical frameworks. On the other hand, we embrace the delightful absurdity inherent in the juxtaposition of the name "Danica" and Libertarian voting patterns, imparting a touch of levity to our scholarly pursuits.
At the outset, it is paramount to highlight the profoundly narrow ambit of our inquiry. Focusing exclusively on the state of Connecticut, our study provides a microcosmic lens through which to scrutinize the potential interplay between a name trend and political peculiarities. By concentrating on a state renowned for its idiosyncratic political landscape, we hope to ascertain whether the burgeoning prominence of the name "Danica" exerts a discernible influence on the electorate's predilection for Libertarian candidates.
Our examination draws its foundation from meticulously curated data sourced from the US Social Security Administration, offering insights into the prevalence of the name "Danica" over the selected timeframe. Concurrently, leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, we dissect the labyrinthine electoral records to discern the undulating tides of Libertarian support in Connecticut senatorial races. Through this symbiotic synthesis of demography and electoral statistics, we endeavor to illuminate the quirky intersection of nomenclature and political predilections.
As we juxtapose the earnest pursuit of scholarly inquiry with the humorous undertones inherent in our subject matter, we anticipate that the findings of our research will not only unravel an unexpected correlation but also unfold a narrative imbued with whimsy and mirth. With a discerning eye and a dash of levity, our study endeavors to unveil the enigmatic "Danica Effect" and its potential repercussions in the convoluted tapestry of electoral dynamics.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

In our endeavor to dissect the enigmatic connection between the popularity of the first name Danica and Libertarian votes for Senators in Connecticut, we embarked on a methodological odyssey that was as rigorous as it was entertaining. To commence this whimsical statistical sojourn, our research team fervently delved into the boundless realm of data mining, employing intricate algorithms to extricate nuggets of information from the haystack of online repositories.

The primary source of our inquiry was the US Social Security Administration, a treasure trove of nomenclatural data that allowed us to scrutinize the prevalence of the name "Danica" over the temporal expanse from 1980 to 2018. By sifting through this veritable tsunami of first names, our team meticulously curated a dataset that provided a panoramic view of the ebb and flow of Danicas in the annals of American nomenclature. Though one might jest that we were embarked on a veritable "name hunt," the magnitude of our statistical pursuits remained no laughing matter.

Turning our analytical gaze towards the convoluted labyrinth of electoral records, we sought refuge in the MIT Election Data and Science Lab, Harvard Dataverse, to unfurl the tapestry of Senatorial elections in Connecticut. Our intrepid foray into the electoral archives was akin to navigating a tempest-tossed sea of data, yet we remained resolute in our quest to discern the capricious pathways of Libertarian votes within this politico-statistical maelstrom.

With a precision that elicited both admiration and amusement, we carefully collated the electoral data and subjected it to the unyielding rigors of statistical analysis. The correlation coefficient was calculated with a fervor rivaling that of a passionate bard penning an epic sonnet, and the p-value was scrutinized with a discerning eye that would make even the most persnickety of critics nod approvingly.

Through this serendipitous marriage of empirical rigor and scholarly caprice, our methodology stands as a testament to the duality of our research pursuits – as steely-eyed statisticians, we unfurled the banner of meticulousness, while embracing the delightful absurdity inherent in unraveling the "Danica Effect" upon Connecticut's political panorama.


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 Danica and Libertarian votes for Senators in Connecticut. Make lots of 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 MIT Election Data and Science Lab, Harvard Dataverse .

For the time period 1980 to 2018, you found a correlation 0.9310188, r-squared of 0.8667960, 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]]
"Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut"

[[ABSTRACT]]
This paper delves into the largely unexplored intersection of popularity of the first name Danica and its potential impact on Libertarian votes for Senators in Connecticut. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, our research team meticulously analyzed trends from 1980 to 2018. The results revealed a remarkably high correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01. Our findings suggest a noteworthy association between the prevalence of the name Danica and the propensity of Connecticut voters to lean towards Libertarian candidates. This research not only sheds light on the whimsical influence of nomenclature in politics but also demonstrates the potential for hilarity amidst the seriousness of statistical analysis.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between first names and political behavior has long been a subject of curious intrigue. While the idea of names influencing political preferences may sound like the premise of a far-fetched sitcom plot, our research endeavors to bring a discerning and empirical lens to this whimsical endeavor. Specifically, we aim to unravel the peculiar correlation between the ascendant popularity of the name "Danica" and the manifestation of Libertarian voting tendencies in Connecticut senatorial elections.
Across the annals of history, names have often been imbued with symbolic weight, ranging from auspicious connotations to ignominious associations. The shift in popularity of certain names over time can invoke quizzical ponderings regarding societal attitudes, cultural trends, and, as our study postulates, political inclinations.
As we embark on this quirky expedition into the world of nomenclature and electoral behavior, it is imperative to acknowledge the dual facets of our investigation. On one hand, we approach the subject matter with the gravitas befitting a scholarly pursuit, adhering to established statistical methodologies and rigorous analytical frameworks. On the other hand, we embrace the delightful absurdity inherent in the juxtaposition of the name "Danica" and Libertarian voting patterns, imparting a touch of levity to our scholarly pursuits.
At the outset, it is paramount to highlight the profoundly narrow ambit of our inquiry. Focusing exclusively on the state of Connecticut, our study provides a microcosmic lens through which to scrutinize the potential interplay between a name trend and political peculiarities. By concentrating on a state renowned for its idiosyncratic political landscape, we hope to ascertain whether the burgeoning prominence of the name "Danica" exerts a discernible influence on the electorate's predilection for Libertarian candidates.
Our examination draws its foundation from meticulously curated data sourced from the US Social Security Administration, offering insights into the prevalence of the name "Danica" over the selected timeframe. Concurrently, leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, we dissect the labyrinthine electoral records to discern the undulating tides of Libertarian support in Connecticut senatorial races. Through this symbiotic synthesis of demography and electoral statistics, we endeavor to illuminate the quirky intersection of nomenclature and political predilections.
As we juxtapose the earnest pursuit of scholarly inquiry with the humorous undertones inherent in our subject matter, we anticipate that the findings of our research will not only unravel an unexpected correlation but also unfold a narrative imbued with whimsy and mirth. With a discerning eye and a dash of levity, our study endeavors to unveil the enigmatic "Danica Effect" and its potential repercussions in the convoluted tapestry of electoral dynamics.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis revealed a striking correlation coefficient of 0.9310188 between the prevalence of the first name "Danica" and the propensity of Connecticut voters to gravitate towards Libertarian candidates in senatorial elections. This high correlation is indicative of a robust relationship between the two variables over the time period of 1980 to 2018.

Furthermore, the resulting r-squared value of 0.8667960 underscores the substantial proportion of variation in Libertarian votes for Senators in Connecticut that can be explained by the prevalence of the name "Danica." In more straightforward terms, the popularity of the name "Danica" appears to have a considerable impact on the inclination of Connecticut voters towards Libertarian choices, at least as far as electoral data reveals.

In addition, the obtained p-value of less than 0.01 attests to the statistical significance of the correlation. This suggests that the likelihood of observing such a strong association between the prevalence of the name "Danica" and Libertarian voting tendencies by random chance alone is exceedingly low. Hence, the evidence indicates a compelling relationship between the two variables, dismissing any notion of mere coincidence or happenstance.

As shown in Figure 1, the scatterplot visually depicts the pronounced correlation, with the prevalence of the name "Danica" exhibiting a decidedly linear relationship with the propensity of Connecticut voters to lean towards Libertarian candidates. The strong clustering of data points serves as a compelling visual encapsulation of the empirical findings, portraying the conspicuous influence of the name "Danica" on the political proclivities of Connecticut voters.

In summation, our research uncovers a potent correlation between the popularity of the first name "Danica" and the Libertarian voting inclinations of Connecticut residents, providing an intriguing glimpse into the intersection of nomenclature and political dynamics. These findings not only contribute to the emerging field of offbeat political correlations but also illustrate the idiosyncratic and often delightfully unexpected facets of electoral analysis.


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 Danica and Libertarian votes for Senators in Connecticut. Make lots of 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]]
"Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut"

[[ABSTRACT]]
This paper delves into the largely unexplored intersection of popularity of the first name Danica and its potential impact on Libertarian votes for Senators in Connecticut. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, our research team meticulously analyzed trends from 1980 to 2018. The results revealed a remarkably high correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01. Our findings suggest a noteworthy association between the prevalence of the name Danica and the propensity of Connecticut voters to lean towards Libertarian candidates. This research not only sheds light on the whimsical influence of nomenclature in politics but also demonstrates the potential for hilarity amidst the seriousness of statistical analysis.

[[LITERATURE REVIEW]]
The correlation between first names and political proclivities is a topic that has not been widely explored in scholarly literature, leaving ample room for mirthful speculation and, dare I say, pun-derful hypotheses. Our research embarks upon this uncharted terrain, aiming to add a whimsically empirical facet to this peculiar domain of study. We begin with a review of studies that discuss the influence of names on societal, cultural, and political spheres.
In "Smith," the authors examine the cultural connotations and symbolic weight associated with names across various historical and contemporary contexts. Similarly, "Doe" delves into the social psychology of nomenclature and its impact on individual identity and group dynamics. While these studies offer insightful perspectives on the broader implications of names in society, they regrettably neglect to address the specific correlation between the popularity of the name "Danica" and Libertarian voting patterns in Connecticut, leaving a conspicuous gap in the literature.
Turning to non-fiction works, "Freakonomics" by Steven D. Levitt and Stephen J. Dubner and "Nudge" by Richard H. Thaler and Cass R. Sunstein provide intriguing insights into the hidden influences that shape human behavior. Although not directly related to the peculiar "Danica Effect," these books serve as a reminder that the seemingly inexplicable can often be illuminated through rigorous analysis and an ample dose of whimsy.
On the fiction front, the literary works of Dan Brown, particularly "The Da Vinci Code," evoke themes of intrigue, clandestine conundrums, and cryptic symbols—elements somewhat reminiscent of the enigmatic correlation we seek to unravel. Furthermore, the dystopian themes in George Orwell's "1984" and Margaret Atwood's "The Handmaid's Tale" offer a prescient commentary on the potential dangers of societal manipulation, albeit in realms far removed from the jovial realm of names and political proclivities.
In a more contemporary twist, the authors of this paper draw inspiration from children's shows such as "Dora the Explorer." While ostensibly unrelated to our scholarly pursuits, the intrepid nature of Dora and her insatiable curiosity serve as a reminder of the importance of inquisitiveness and unorthodox explorations in scholarly endeavors.
As we navigate this scholarly cornucopia, our research endeavors to blend the rigors of statistical analysis with a dash of levity, offering an unconventional lens through which to decipher the whimsical nuances of nomenclature and electoral behavior. With a nod to the serious and a wink to the absurd, our literature review sets the stage for the enthralling revelations that await in the subsequent sections of our paper.

[[RESULTS]]
The analysis revealed a striking correlation coefficient of 0.9310188 between the prevalence of the first name "Danica" and the propensity of Connecticut voters to gravitate towards Libertarian candidates in senatorial elections. This high correlation is indicative of a robust relationship between the two variables over the time period of 1980 to 2018.
Furthermore, the resulting r-squared value of 0.8667960 underscores the substantial proportion of variation in Libertarian votes for Senators in Connecticut that can be explained by the prevalence of the name "Danica." In more straightforward terms, the popularity of the name "Danica" appears to have a considerable impact on the inclination of Connecticut voters towards Libertarian choices, at least as far as electoral data reveals.
In addition, the obtained p-value of less than 0.01 attests to the statistical significance of the correlation. This suggests that the likelihood of observing such a strong association between the prevalence of the name "Danica" and Libertarian voting tendencies by random chance alone is exceedingly low. Hence, the evidence indicates a compelling relationship between the two variables, dismissing any notion of mere coincidence or happenstance.
As shown in Figure 1, the scatterplot visually depicts the pronounced correlation, with the prevalence of the name "Danica" exhibiting a decidedly linear relationship with the propensity of Connecticut voters to lean towards Libertarian candidates. The strong clustering of data points serves as a compelling visual encapsulation of the empirical findings, portraying the conspicuous influence of the name "Danica" on the political proclivities of Connecticut voters.
In summation, our research uncovers a potent correlation between the popularity of the first name "Danica" and the Libertarian voting inclinations of Connecticut residents, providing an intriguing glimpse into the intersection of nomenclature and political dynamics. These findings not only contribute to the emerging field of offbeat political correlations but also illustrate the idiosyncratic and often delightfully unexpected facets of electoral analysis.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study offer a compelling vindication of the ostensibly quirky correlation between the popularity of the first name "Danica" and the propensity of Connecticut voters to rally behind Libertarian candidates. The pronounced correlation coefficient of 0.9310188 not only surpasses our initial expectations but also aligns with the lighthearted conjectures we encountered in our literature review. The significant p-value further bolsters the credibility of our findings, dispelling any lingering doubts that this association might be a mere fluke.

Our whimsically empirical pursuit finds resonance in the witticisms of earlier scholars. "Freakonomics" and "Nudge" may have delved into different enigmas, but their underlying message of hidden influences shaping human behavior echoes the unexpected influence of the name "Danica" on electoral preferences. In a similar vein, the atmospheric intrigue of Dan Brown's "The Da Vinci Code" mirrors the cryptic connection we have unraveled, albeit in a less clandestine and more comical light.

Though we navigated through this scholarly tapestry with a blend of analytical rigor and bemusement, the resounding strength of the correlation underscores the valuable insights that can emerge from the most unlikely sources. Just as "Dora the Explorer" embarks on intrepid quests, our research ventured into uncharted territory, eager to unearth the unexpected. And indeed, the unexpected we found, hidden within the seemingly innocuous syllables of a first name.

Our findings not only expand the frontiers of electoral analysis but also beckon a moment of levity in the solemn realm of statistical inquiry. The name "Danica" emerges as more than a moniker; it becomes a whimsical protagonist in the electoral tale of Connecticut, wielding an influence that eludes conventional wisdom. As we navigate the capricious terrain of nomenclature and electoral idiosyncrasies, we are reminded that beneath the veneer of scholarly sobriety lies a whimsical world where the preposterous can have profound implications.

And so, our pursuit culminates in a cascade of statistical significance and endearing absurdity, beckoning us to ponder the delightful dance of nomenclature and political proclivities. In this convergence of the improbable and the irrefutable, we are reminded that even in the most serious of scholarly endeavors, there exists a realm of whimsy waiting to be discovered.


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 Danica and Libertarian votes for Senators in Connecticut. Make lots of 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]]
"Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut"

[[ABSTRACT]]
This paper delves into the largely unexplored intersection of popularity of the first name Danica and its potential impact on Libertarian votes for Senators in Connecticut. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, our research team meticulously analyzed trends from 1980 to 2018. The results revealed a remarkably high correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01. Our findings suggest a noteworthy association between the prevalence of the name Danica and the propensity of Connecticut voters to lean towards Libertarian candidates. This research not only sheds light on the whimsical influence of nomenclature in politics but also demonstrates the potential for hilarity amidst the seriousness of statistical analysis.

[[INTRDUCTION]]
The relationship between first names and political behavior has long been a subject of curious intrigue. While the idea of names influencing political preferences may sound like the premise of a far-fetched sitcom plot, our research endeavors to bring a discerning and empirical lens to this whimsical endeavor. Specifically, we aim to unravel the peculiar correlation between the ascendant popularity of the name "Danica" and the manifestation of Libertarian voting tendencies in Connecticut senatorial elections.
Across the annals of history, names have often been imbued with symbolic weight, ranging from auspicious connotations to ignominious associations. The shift in popularity of certain names over time can invoke quizzical ponderings regarding societal attitudes, cultural trends, and, as our study postulates, political inclinations.
As we embark on this quirky expedition into the world of nomenclature and electoral behavior, it is imperative to acknowledge the dual facets of our investigation. On one hand, we approach the subject matter with the gravitas befitting a scholarly pursuit, adhering to established statistical methodologies and rigorous analytical frameworks. On the other hand, we embrace the delightful absurdity inherent in the juxtaposition of the name "Danica" and Libertarian voting patterns, imparting a touch of levity to our scholarly pursuits.
At the outset, it is paramount to highlight the profoundly narrow ambit of our inquiry. Focusing exclusively on the state of Connecticut, our study provides a microcosmic lens through which to scrutinize the potential interplay between a name trend and political peculiarities. By concentrating on a state renowned for its idiosyncratic political landscape, we hope to ascertain whether the burgeoning prominence of the name "Danica" exerts a discernible influence on the electorate's predilection for Libertarian candidates.
Our examination draws its foundation from meticulously curated data sourced from the US Social Security Administration, offering insights into the prevalence of the name "Danica" over the selected timeframe. Concurrently, leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, we dissect the labyrinthine electoral records to discern the undulating tides of Libertarian support in Connecticut senatorial races. Through this symbiotic synthesis of demography and electoral statistics, we endeavor to illuminate the quirky intersection of nomenclature and political predilections.
As we juxtapose the earnest pursuit of scholarly inquiry with the humorous undertones inherent in our subject matter, we anticipate that the findings of our research will not only unravel an unexpected correlation but also unfold a narrative imbued with whimsy and mirth. With a discerning eye and a dash of levity, our study endeavors to unveil the enigmatic "Danica Effect" and its potential repercussions in the convoluted tapestry of electoral dynamics.

[[RESULTS]]
The analysis revealed a striking correlation coefficient of 0.9310188 between the prevalence of the first name "Danica" and the propensity of Connecticut voters to gravitate towards Libertarian candidates in senatorial elections. This high correlation is indicative of a robust relationship between the two variables over the time period of 1980 to 2018.
Furthermore, the resulting r-squared value of 0.8667960 underscores the substantial proportion of variation in Libertarian votes for Senators in Connecticut that can be explained by the prevalence of the name "Danica." In more straightforward terms, the popularity of the name "Danica" appears to have a considerable impact on the inclination of Connecticut voters towards Libertarian choices, at least as far as electoral data reveals.
In addition, the obtained p-value of less than 0.01 attests to the statistical significance of the correlation. This suggests that the likelihood of observing such a strong association between the prevalence of the name "Danica" and Libertarian voting tendencies by random chance alone is exceedingly low. Hence, the evidence indicates a compelling relationship between the two variables, dismissing any notion of mere coincidence or happenstance.
As shown in Figure 1, the scatterplot visually depicts the pronounced correlation, with the prevalence of the name "Danica" exhibiting a decidedly linear relationship with the propensity of Connecticut voters to lean towards Libertarian candidates. The strong clustering of data points serves as a compelling visual encapsulation of the empirical findings, portraying the conspicuous influence of the name "Danica" on the political proclivities of Connecticut voters.
In summation, our research uncovers a potent correlation between the popularity of the first name "Danica" and the Libertarian voting inclinations of Connecticut residents, providing an intriguing glimpse into the intersection of nomenclature and political dynamics. These findings not only contribute to the emerging field of offbeat political correlations but also illustrate the idiosyncratic and often delightfully unexpected facets of electoral analysis.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research unearths a rather peculiar correlation between the prevalence of the first name "Danica" and the penchant of Connecticut voters to lean towards Libertarian candidates in senatorial elections. With a correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01, it becomes abundantly clear that there is more to the name "Danica" than meets the eye. While one might be tempted to attribute this connection to mere coincidence, the robust statistical evidence vehemently opposes such a dismissive notion. It appears that the Danica effect is a force to be reckoned with in the political landscape of Connecticut, and its ramifications extend far beyond the confines of mere nomenclature.

The substantial r-squared value of 0.8667960 elucidates the considerable proportion of variation in Libertarian votes that can be elucidated by the prevalence of the name "Danica." This implies that the name Danica holds a remarkable sway over the political preferences of Connecticut voters. As we marvel at the scatterplot in Figure 1, one cannot help but appreciate the eerily linear relationship between the prevalence of the name "Danica" and the historical propensity of Connecticut voters to embrace Libertarian choices. It's as if some unseen hand is orchestrating the electoral ballet, with the name "Danica" leading the symphony of voter predilections.

This study contributes not only to the field of political statistics but also to the whimsical theories of nomenclature and its potential impact on societal dynamics. As we reflect on the profundity and playfulness of our findings, it is evident that the Danica effect adds a dash of levity to the otherwise earnest pursuit of political analysis. While humor and correlation may seem incongruous bedfellows, our results underscore the tantalizing interplay between statistical rigor and the serendipitous zaniness of electoral analysis.

In light of these revelatory findings, it is our scholarly duty to assert that no further research on the correlation between the name "Danica" and Libertarian voting tendencies in Connecticut is warranted. It appears that the Danica effect stands as a testament to the capricious complexities of political behavior and name trends, leaving us in both awe and amusement at the quixotic world of electoral dynamics.


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 Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political Quirkiness


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 Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Applied Political Mathematics


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 Libertarian Votica: A Correlative Study of the Danica Effect on Senatorial Elections in Connecticut with an abstract of This paper delves into the largely unexplored intersection of popularity of the first name Danica and its potential impact on Libertarian votes for Senators in Connecticut. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, our research team meticulously analyzed trends from 1980 to 2018. The results revealed a remarkably high correlation coefficient of 0.9310188 and a statistically significant p-value of less than 0.01. Our findings suggest a noteworthy association between the prevalence of the name Danica and the propensity of Connecticut voters to lean towards Libertarian candidates. This research not only sheds light on the whimsical influence of nomenclature in politics but also demonstrates the potential for hilarity amidst the seriousness of statistical analysis.

ChatGPT:

Libertarian, votes, senatorial elections, Connecticut, Danica, correlation, impact, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse, trends, statistical analysis, association, nomenclature, politics, whimsical influence, Libertarian candidates.

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

Libertarian votes for Senators in Connecticut
Detailed data title: Total number of votes cast for Federal Libertarian Senate candidates in Connecticut
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Libertarian votes for Senators in Connecticut

Correlation r = 0.9310188 (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 = 0.8667960 (Coefficient of determination)
This means 86.7% of the change in the one variable (i.e., Libertarian votes for Senators in Connecticut) is predictable based on the change in the other (i.e., Popularity of the first name Danica) over the 10 years from 1980 through 2018.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 9.11E-5. 0.0000910938939531630900000000
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 0.93 in 0.00911% of random cases. Said differently, if you correlated 10,978 random variables Which I absolutely did.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.73, 0.98 ] 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.
1980198219881992199820002004201220162018
Popularity of the first name Danica (Babies born)160156207267167192204599325261
Libertarian votes for Senators in Connecticut (Total votes)53368163124091074151968773918825045181908838




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([160,156,207,267,167,192,204,599,325,261,])
array_2 = np.array([5336,8163,12409,10741,5196,8773,9188,25045,18190,8838,])
array_1_name = "Popularity of the first name Danica"
array_2_name = "Libertarian votes for Senators in Connecticut"

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

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



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

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

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

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Correlation ID: 4454 · Black Variable ID: 3804 · Red Variable ID: 26214
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