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Spurious correlation #5,198 · 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 Emani and the second variable is Votes for the Democratic Presidential candidate in Connecticut.  The chart goes from 1990 to 2020, and the two variables track closely in value over that time. Small Image
Download png
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AI explanation

It turns out that the name Emani has a subliminal effect on people, making them more inclined to support democratic values and candidates. It's like a magical incantation for liberal leanings. As the number of Emojis in the state rose, so did the support for the Democratic Presidential candidate, creating a Emani-cipated blue wave.

Model: dalle-3
Prompt: [ Cute cartoon ] In the heart of downtown Connecticut, a lively street thrums with activity. People of all ages and backgrounds bustle along the sidewalk, creating a vibrant tapestry of movement. A large, cheerful-looking billboard adorned with colorful letters prominently displays the name "Emani" in bold, capturing the attention of passersby with its inviting allure. This captivating sign seems to exude a palpable aura of influence over the bustling street, sparking a sense of curiosity and excitement among onlookers. Amidst the bustling scene, a row of vibrant blue voting booths stands proudly, each adorned with fluttering flags. A steady stream of eager voters flows toward the booths, determined and purposeful as they enter to cast their ballots for the Democratic Presidential candidate. The air crackles with a sense of anticipation and unity as the growing popularity of the "Emani" name aligns with the rising support for the Democratic candidate, creating an electrifying atmosphere filled with the Emani effect—a seamless fusion of name recognition and political momentum. The scene is alive with the energy of democracy in action, as the anticipation of a Emani-cipated blue wave in the state builds. The playful cartoon-style illustration captures the dynamic essence of the bustling street, entwining the spirit of community, election excitement, and the magnetic allure of the "Emani" name in a visually captivating way. 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 Emani and Votes for the Democrat Presidential candidate 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: Low poly Futuristic Cute cartoon Low poly Voxel art
ChatGPT: Cute cartoon

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 Emani and Votes for the Democrat Presidential candidate in Connecticut, in the following situation: It turns out that the name Emani has a subliminal effect on people, making them more inclined to support democratic values and candidates. It's like a magical incantation for liberal leanings. As the number of Emojis in the state rose, so did the support for the Democratic Presidential candidate, creating a Emani-cipated blue wave.. Keep the description simple.
ChatGPT: In downtown Connecticut, a bustling street is filled with people. A large billboard displaying the name "Emani" in bold letters catches the attention of passersby. As they glance at the sign, a sense of an invisible influence seems to linger in the air. On the same street, a row of voting booths is adorned with blue flags, and a stream of voters enters the booths, casting their ballots for the Democratic Presidential candidate. The Emani effect is palpable, as the growing popularity of the name coincides with the rising support for the Democratic candidate, creating a Emani-cipated blue wave in the state.

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: [ Cute cartoon ] and depicting this scene: In downtown Connecticut, a bustling street is filled with people. A large billboard displaying the name "Emani" in bold letters catches the attention of passersby. As they glance at the sign, a sense of an invisible influence seems to linger in the air. On the same street, a row of voting booths is adorned with blue flags, and a stream of voters enters the booths, casting their ballots for the Democratic Presidential candidate. The Emani effect is palpable, as the growing popularity of the name coincides with the rising support for the Democratic candidate, creating a Emani-cipated blue wave in the state. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ Cute cartoon ] In the heart of downtown Connecticut, a lively street thrums with activity. People of all ages and backgrounds bustle along the sidewalk, creating a vibrant tapestry of movement. A large, cheerful-looking billboard adorned with colorful letters prominently displays the name "Emani" in bold, capturing the attention of passersby with its inviting allure. This captivating sign seems to exude a palpable aura of influence over the bustling street, sparking a sense of curiosity and excitement among onlookers. Amidst the bustling scene, a row of vibrant blue voting booths stands proudly, each adorned with fluttering flags. A steady stream of eager voters flows toward the booths, determined and purposeful as they enter to cast their ballots for the Democratic Presidential candidate. The air crackles with a sense of anticipation and unity as the growing popularity of the "Emani" name aligns with the rising support for the Democratic candidate, creating an electrifying atmosphere filled with the Emani effect—a seamless fusion of name recognition and political momentum. The scene is alive with the energy of democracy in action, as the anticipation of a Emani-cipated blue wave in the state builds. The playful cartoon-style illustration captures the dynamic essence of the bustling street, entwining the spirit of community, election excitement, and the magnetic allure of the "Emani" name in a visually captivating way.

*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 Emani caused Votes for the Democrat Presidential candidate in Connecticut to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut

Journal of Political Limericks and Lingo

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Emani and Votes for the Democrat Presidential candidate in Connecticut. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Rhyme words in the title.

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 0.9763021 and p < 0.01 for 1990 to 2020.

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]]
Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut

[[ABSTRACT]]
The present study delves into the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut. Leveraging data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse, our research team employed a rigorous statistical approach to investigate this curious phenomenon. The findings revealed a strikingly high correlation coefficient of 0.9763021 and a p-value lower than a basement in a skyscraper, indicating a significant relationship between the two variables for the period spanning from 1990 to 2020. This study sheds light on the intriguing interplay between individual name preferences and political leanings, offering food for thought and statistical insights that will surely make you think "Emani, Emani, does whatever a predictor cani!"


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 Emani and Votes for the Democrat Presidential candidate in Connecticut. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut

[[ABSTRACT]]
The present study delves into the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut. Leveraging data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse, our research team employed a rigorous statistical approach to investigate this curious phenomenon. The findings revealed a strikingly high correlation coefficient of 0.9763021 and a p-value lower than a basement in a skyscraper, indicating a significant relationship between the two variables for the period spanning from 1990 to 2020. This study sheds light on the intriguing interplay between individual name preferences and political leanings, offering food for thought and statistical insights that will surely make you think "Emani, Emani, does whatever a predictor cani!"

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The etymological landscape of names has long been a source of fascination, sparking debates about cultural trends, parental preferences, and, of course, the occasional amusement when encountering a uniquely resonant appellation. In the realm of political science, the intersection of nomenclature and voting behavior has progressively gained attention, prompting inquiries that peel back the layers of human cognition and identity formation. Our study contributes to this burgeoning field by examining the curious correlation between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut.

Venturing into the realm of statistical analysis, we embarked on this journey armed with a treasure trove of data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse. Like intrepid explorers navigating uncharted territories of empirical research, we sought to uncover the hidden ties that bind individual name choices and political affiliations. As we set sail on this statistical voyage, we marveled at the peculiar potential of a name to transcend its phonetic boundaries and weave itself into the fabric of electoral dynamics.

Our investigation, akin to an intricate dance between variables, unearthed a strikingly high correlation coefficient of 0.9763021. This finding, while impressively robust, left us contemplating the mysterious forces at play, evoking a sense of marvel akin to uncovering a statistical treasure trove. As we delved deeper into the labyrinth of data, the p-value emerged as a noteworthy protagonist in our narrative - lower than a basement in a skyscraper, it signaled a resounding significance underpinning the relationship between the variables. The statistical orchestra was in full swing, producing a harmonic convergence that tantalized our intellectual palates.

The temporal scope of our study, spanning from 1990 to 2020, provided a panoramic view of the unfolding saga between Emani's proliferation and the ebb and flow of Democrat support in Connecticut. With each passing electoral cycle, the dynamic interplay between the name Emani and the electorate's political preferences was revealed in a symphony of statistical prowess and sociopolitical intrigue. As we traversed the annals of time, we marveled at the nuances and fluctuations that imbued our analysis with a narrative arc worthy of an epic tale.

By peering through the lens of rigorous statistical methods, we aim to chart a course that not only elucidates the enigmatic connection between Emani's popularity and Democrat votes but also lays the groundwork for future studies to explore the uncharted territories of name-based predictive modeling. Through this endeavor, may our findings prompt a thought-provoking moment for scholars and laypersons alike, igniting a spark of curiosity that transcends the confines of statistical analyses and sparks conversations that make one ponder, "Emani, Emani, does whatever a predictor cani!"


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 Emani and Votes for the Democrat Presidential candidate in Connecticut. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut

[[ABSTRACT]]
The present study delves into the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut. Leveraging data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse, our research team employed a rigorous statistical approach to investigate this curious phenomenon. The findings revealed a strikingly high correlation coefficient of 0.9763021 and a p-value lower than a basement in a skyscraper, indicating a significant relationship between the two variables for the period spanning from 1990 to 2020. This study sheds light on the intriguing interplay between individual name preferences and political leanings, offering food for thought and statistical insights that will surely make you think "Emani, Emani, does whatever a predictor cani!"

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The etymological landscape of names has long been a source of fascination, sparking debates about cultural trends, parental preferences, and, of course, the occasional amusement when encountering a uniquely resonant appellation. In the realm of political science, the intersection of nomenclature and voting behavior has progressively gained attention, prompting inquiries that peel back the layers of human cognition and identity formation. Our study contributes to this burgeoning field by examining the curious correlation between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut.
Venturing into the realm of statistical analysis, we embarked on this journey armed with a treasure trove of data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse. Like intrepid explorers navigating uncharted territories of empirical research, we sought to uncover the hidden ties that bind individual name choices and political affiliations. As we set sail on this statistical voyage, we marveled at the peculiar potential of a name to transcend its phonetic boundaries and weave itself into the fabric of electoral dynamics.
Our investigation, akin to an intricate dance between variables, unearthed a strikingly high correlation coefficient of 0.9763021. This finding, while impressively robust, left us contemplating the mysterious forces at play, evoking a sense of marvel akin to uncovering a statistical treasure trove. As we delved deeper into the labyrinth of data, the p-value emerged as a noteworthy protagonist in our narrative - lower than a basement in a skyscraper, it signaled a resounding significance underpinning the relationship between the variables. The statistical orchestra was in full swing, producing a harmonic convergence that tantalized our intellectual palates.
The temporal scope of our study, spanning from 1990 to 2020, provided a panoramic view of the unfolding saga between Emani's proliferation and the ebb and flow of Democrat support in Connecticut. With each passing electoral cycle, the dynamic interplay between the name Emani and the electorate's political preferences was revealed in a symphony of statistical prowess and sociopolitical intrigue. As we traversed the annals of time, we marveled at the nuances and fluctuations that imbued our analysis with a narrative arc worthy of an epic tale.
By peering through the lens of rigorous statistical methods, we aim to chart a course that not only elucidates the enigmatic connection between Emani's popularity and Democrat votes but also lays the groundwork for future studies to explore the uncharted territories of name-based predictive modeling. Through this endeavor, may our findings prompt a thought-provoking moment for scholars and laypersons alike, igniting a spark of curiosity that transcends the confines of statistical analyses and sparks conversations that make one ponder, "Emani, Emani, does whatever a predictor cani!"

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The relationship between personal names and their potential influence on various aspects of human behavior has been a subject of intrigue for researchers across fields such as sociology, psychology, and political science. Smith (2015) delved into the psychological implications of name preferences, highlighting their role in shaping individual identity and social interactions. Similarly, Doe (2018) conducted a comprehensive analysis of the cultural and historical underpinnings of naming conventions, elucidating the intricate interplay between nomenclature and societal norms. Building on these foundational works, Jones (2020) investigated the influence of first names on political leanings, culminating in a thought-provoking exploration of the ways in which individual names may intersect with voting behaviors.

Venturing beyond the realm of academia, the non-fiction works "Freakonomics: A Rogue Economist Explores the Hidden Side of Everything" by Steven D. Levitt and Stephen J. Dubner, and "The Power of Habit: Why We Do What We Do in Life and Business" by Charles Duhigg, offer insightful perspectives on the subtle yet impactful influences that shape human decision-making processes. These literary endeavors serve as a testament to the multifaceted nature of human behavior, as well as the captivating intricacies that underpin the choices individuals make in various domains of life.

Additionally, the fiction novels "Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón, though not explicitly linked to the topic at hand, evoke a sense of enigmatic allure surrounding the power inherent in names. These captivating tales transport readers into realms where names hold sway over destinies, akin to the subtle forces that may permeate the political sphere.

Drawing inspiration from the world of board games, the strategy and negotiation dynamics in "Risk" and "Settlers of Catan" mirror the complex interplay of variables and strategic considerations that underlie the interaction between personal names and voting patterns. While these games may seem worlds apart from the realm of statistical analysis and political behavior, their underlying principles of decision-making and strategic maneuvering offer intriguing parallels to the complexities inherent in our research inquiry.

As we embark on our exploration of the fascinating correlation between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in Connecticut, we take heed of the diverse array of insights offered by these diverse sources. While our endeavor is rooted in empirical analyses and rigorous statistical methods, we acknowledge the rich tapestry of influences that shape human behavior, and embrace the multifaceted nature of our inquiry with an earnest curiosity and a touch of whimsy.


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 Emani and Votes for the Democrat Presidential candidate in Connecticut. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1990 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]]
Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut

[[ABSTRACT]]
The present study delves into the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut. Leveraging data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse, our research team employed a rigorous statistical approach to investigate this curious phenomenon. The findings revealed a strikingly high correlation coefficient of 0.9763021 and a p-value lower than a basement in a skyscraper, indicating a significant relationship between the two variables for the period spanning from 1990 to 2020. This study sheds light on the intriguing interplay between individual name preferences and political leanings, offering food for thought and statistical insights that will surely make you think "Emani, Emani, does whatever a predictor cani!"

[[INTRODUCTION]]
The etymological landscape of names has long been a source of fascination, sparking debates about cultural trends, parental preferences, and, of course, the occasional amusement when encountering a uniquely resonant appellation. In the realm of political science, the intersection of nomenclature and voting behavior has progressively gained attention, prompting inquiries that peel back the layers of human cognition and identity formation. Our study contributes to this burgeoning field by examining the curious correlation between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut.
Venturing into the realm of statistical analysis, we embarked on this journey armed with a treasure trove of data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse. Like intrepid explorers navigating uncharted territories of empirical research, we sought to uncover the hidden ties that bind individual name choices and political affiliations. As we set sail on this statistical voyage, we marveled at the peculiar potential of a name to transcend its phonetic boundaries and weave itself into the fabric of electoral dynamics.
Our investigation, akin to an intricate dance between variables, unearthed a strikingly high correlation coefficient of 0.9763021. This finding, while impressively robust, left us contemplating the mysterious forces at play, evoking a sense of marvel akin to uncovering a statistical treasure trove. As we delved deeper into the labyrinth of data, the p-value emerged as a noteworthy protagonist in our narrative - lower than a basement in a skyscraper, it signaled a resounding significance underpinning the relationship between the variables. The statistical orchestra was in full swing, producing a harmonic convergence that tantalized our intellectual palates.
The temporal scope of our study, spanning from 1990 to 2020, provided a panoramic view of the unfolding saga between Emani's proliferation and the ebb and flow of Democrat support in Connecticut. With each passing electoral cycle, the dynamic interplay between the name Emani and the electorate's political preferences was revealed in a symphony of statistical prowess and sociopolitical intrigue. As we traversed the annals of time, we marveled at the nuances and fluctuations that imbued our analysis with a narrative arc worthy of an epic tale.
By peering through the lens of rigorous statistical methods, we aim to chart a course that not only elucidates the enigmatic connection between Emani's popularity and Democrat votes but also lays the groundwork for future studies to explore the uncharted territories of name-based predictive modeling. Through this endeavor, may our findings prompt a thought-provoking moment for scholars and laypersons alike, igniting a spark of curiosity that transcends the confines of statistical analyses and sparks conversations that make one ponder, "Emani, Emani, does whatever a predictor cani!"

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the enigmatic relationship between the prevalence of the first name Emani and voting proclivities for the Democrat presidential candidate in Connecticut, our research team harnessed the power of statistically robust methodologies, liberally sprinkled with a dash of analytical flair. Aiming to leave no stone unturned, we embarked on a quest for data treasure, scouring the digital realms of the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse. The allure of a data-driven odyssey guided our hand as we curated a rich tapestry of information spanning the years 1990 to 2020, encompassing a vast swath of electoral epochs and Emani nomenclatural trends.

In setting the stage for this statistical ballet, our team meticulously curated a dataset that encapsulated the frequency of the moniker 'Emani' and the corresponding Democrat voting outcomes for each election year. With a meticulous eye for detail rivaled only by the most discerning of architectural inspectors, we meticulously cross-referenced and validated the data to ensure its fidelity, precluding any foray into a statistical cul-de-sac.

Utilizing a multifaceted approach akin to weaving an intricate tapestry, we employed regression analysis to disentangle the web of potential confounding variables, seeking to isolate the unique influence of the name 'Emani' on Democrat voting patterns. To further bolster the robustness of our findings, we delved into time series analysis, allowing us to trace the undulating trajectory of Emani's popularity in tandem with the electoral tides of Connecticut.

Furthermore, embracing the spirit of collaborative inquiry reminiscent of a scientific roundtable, we employed advanced statistical software to conduct our analyses, ensuring that our voyage through the seas of data was guided by the North Star of empirical rigor. Each statistical model and hypothesis test served as a compass, steering us toward nuanced insights that evaded casual observers like an elusive statistical leviathan.

In homage to the data-driven ethos that propels us forward, we adhered to rigorous standards of statistical significance and effect size, eschewing the siren calls of statistical fallacies that lurked amidst the waves of uncertainty. Each calculated parameter and confidence interval emerged as a sentinel, guarding against the fickle whims of chance and happenstance, affirming the solidity of the relationships under scrutiny.

Venturing further into the intricate labyrinth of our methodological approach, we swiftly encountered the clustering phenomena of data points, reminiscent of a bustling social gathering where statistical associations mingled and interacted with fervor. To disentangle this web of intersecting connections, we deftly employed network analysis, casting a spotlight on the intricate interplay between Emani's popularity and Democrat votes, much like an enthralling drama unfolding on a statistical stage.

With this rigorous and multifaceted methodological approach underpinning our investigative pursuits, we navigated the waves of empirical inquiry, steadfast in our commitment to uncovering the subtle but impactful dance between affection for the name 'Emani' and the ebb and flow of Democrat support in the identity-rich landscape of Connecticut.


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 Emani and Votes for the Democrat Presidential candidate in Connecticut. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse .

For the time period 1990 to 2020, you found a correlation 0.9763021, r-squared of 0.9531659, 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]]
Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut

[[ABSTRACT]]
The present study delves into the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut. Leveraging data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse, our research team employed a rigorous statistical approach to investigate this curious phenomenon. The findings revealed a strikingly high correlation coefficient of 0.9763021 and a p-value lower than a basement in a skyscraper, indicating a significant relationship between the two variables for the period spanning from 1990 to 2020. This study sheds light on the intriguing interplay between individual name preferences and political leanings, offering food for thought and statistical insights that will surely make you think "Emani, Emani, does whatever a predictor cani!"

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The etymological landscape of names has long been a source of fascination, sparking debates about cultural trends, parental preferences, and, of course, the occasional amusement when encountering a uniquely resonant appellation. In the realm of political science, the intersection of nomenclature and voting behavior has progressively gained attention, prompting inquiries that peel back the layers of human cognition and identity formation. Our study contributes to this burgeoning field by examining the curious correlation between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut.
Venturing into the realm of statistical analysis, we embarked on this journey armed with a treasure trove of data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse. Like intrepid explorers navigating uncharted territories of empirical research, we sought to uncover the hidden ties that bind individual name choices and political affiliations. As we set sail on this statistical voyage, we marveled at the peculiar potential of a name to transcend its phonetic boundaries and weave itself into the fabric of electoral dynamics.
Our investigation, akin to an intricate dance between variables, unearthed a strikingly high correlation coefficient of 0.9763021. This finding, while impressively robust, left us contemplating the mysterious forces at play, evoking a sense of marvel akin to uncovering a statistical treasure trove. As we delved deeper into the labyrinth of data, the p-value emerged as a noteworthy protagonist in our narrative - lower than a basement in a skyscraper, it signaled a resounding significance underpinning the relationship between the variables. The statistical orchestra was in full swing, producing a harmonic convergence that tantalized our intellectual palates.
The temporal scope of our study, spanning from 1990 to 2020, provided a panoramic view of the unfolding saga between Emani's proliferation and the ebb and flow of Democrat support in Connecticut. With each passing electoral cycle, the dynamic interplay between the name Emani and the electorate's political preferences was revealed in a symphony of statistical prowess and sociopolitical intrigue. As we traversed the annals of time, we marveled at the nuances and fluctuations that imbued our analysis with a narrative arc worthy of an epic tale.
By peering through the lens of rigorous statistical methods, we aim to chart a course that not only elucidates the enigmatic connection between Emani's popularity and Democrat votes but also lays the groundwork for future studies to explore the uncharted territories of name-based predictive modeling. Through this endeavor, may our findings prompt a thought-provoking moment for scholars and laypersons alike, igniting a spark of curiosity that transcends the confines of statistical analyses and sparks conversations that make one ponder, "Emani, Emani, does whatever a predictor cani!"

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in Connecticut yielded compelling results that left our research team bemused and intrigued. The correlation coefficient of 0.9763021 leapt out like a rare gem in the wilderness of statistical exploration, sparkling with a level of significance that could make even the staunchest skeptic do a double-take. It seemed that Emani's popularity was more than just a name; it carried with it a curious sway over the political inclinations of Connecticut's electorate, as serene as the calm before a statistical storm.

With an r-squared value of 0.9531659, our findings provide robust evidence of a relationship that defies mere coincidence or random fluctuation. It was as if Emani's influence was akin to the gravitational pull of a statistical celestial body, guiding the trajectory of Democrat votes in Connecticut with an invisible but unmistakable force. The precision of this relationship, accompanied by a p-value lower than a subterranean hideout, sent waves of astonishment through our research team, like a statistical rollercoaster thrilling us to our scientific core.

Furthermore, the visual representation of this compelling correlation is depicted in Figure 1, a scatterplot that showcases the unmistakable pattern of Emani's popularity intertwining with the ebb and flow of Democrat votes in Connecticut. The plot is as revelatory as a well-crafted pun, laying bare the undeniable connection between a name and the political preferences of an entire state.

In light of these findings, it becomes clear that the allure of a name can ripple through the socio-political landscape in unexpected ways, leaving an indelible mark on the tides of electoral fortune. This study offers a thought-provoking inquiry into the bewildering dance of nomenclature and political allegiance, underscoring the potent influence of Emani's resonance on the landscape of Connecticut's political tapestry. The statistical spotlight shines brightly on this captivating relationship, beckoning further exploration into the intriguing interplay between names and voting behaviors, with the hope that future research may unravel even more of the captivating enigmas hiding within the folds of data and human experience.


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 Emani and Votes for the Democrat Presidential candidate in Connecticut. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut

[[ABSTRACT]]
The present study delves into the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut. Leveraging data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse, our research team employed a rigorous statistical approach to investigate this curious phenomenon. The findings revealed a strikingly high correlation coefficient of 0.9763021 and a p-value lower than a basement in a skyscraper, indicating a significant relationship between the two variables for the period spanning from 1990 to 2020. This study sheds light on the intriguing interplay between individual name preferences and political leanings, offering food for thought and statistical insights that will surely make you think "Emani, Emani, does whatever a predictor cani!"

[[LITERATURE REVIEW]]
The relationship between personal names and their potential influence on various aspects of human behavior has been a subject of intrigue for researchers across fields such as sociology, psychology, and political science. Smith (2015) delved into the psychological implications of name preferences, highlighting their role in shaping individual identity and social interactions. Similarly, Doe (2018) conducted a comprehensive analysis of the cultural and historical underpinnings of naming conventions, elucidating the intricate interplay between nomenclature and societal norms. Building on these foundational works, Jones (2020) investigated the influence of first names on political leanings, culminating in a thought-provoking exploration of the ways in which individual names may intersect with voting behaviors.
Venturing beyond the realm of academia, the non-fiction works "Freakonomics: A Rogue Economist Explores the Hidden Side of Everything" by Steven D. Levitt and Stephen J. Dubner, and "The Power of Habit: Why We Do What We Do in Life and Business" by Charles Duhigg, offer insightful perspectives on the subtle yet impactful influences that shape human decision-making processes. These literary endeavors serve as a testament to the multifaceted nature of human behavior, as well as the captivating intricacies that underpin the choices individuals make in various domains of life.
Additionally, the fiction novels "Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón, though not explicitly linked to the topic at hand, evoke a sense of enigmatic allure surrounding the power inherent in names. These captivating tales transport readers into realms where names hold sway over destinies, akin to the subtle forces that may permeate the political sphere.
Drawing inspiration from the world of board games, the strategy and negotiation dynamics in "Risk" and "Settlers of Catan" mirror the complex interplay of variables and strategic considerations that underlie the interaction between personal names and voting patterns. While these games may seem worlds apart from the realm of statistical analysis and political behavior, their underlying principles of decision-making and strategic maneuvering offer intriguing parallels to the complexities inherent in our research inquiry.
As we embark on our exploration of the fascinating correlation between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in Connecticut, we take heed of the diverse array of insights offered by these diverse sources. While our endeavor is rooted in empirical analyses and rigorous statistical methods, we acknowledge the rich tapestry of influences that shape human behavior, and embrace the multifaceted nature of our inquiry with an earnest curiosity and a touch of whimsy.

[[RESULTS]]
The analysis of the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in Connecticut yielded compelling results that left our research team bemused and intrigued. The correlation coefficient of 0.9763021 leapt out like a rare gem in the wilderness of statistical exploration, sparkling with a level of significance that could make even the staunchest skeptic do a double-take. It seemed that Emani's popularity was more than just a name; it carried with it a curious sway over the political inclinations of Connecticut's electorate, as serene as the calm before a statistical storm.
With an r-squared value of 0.9531659, our findings provide robust evidence of a relationship that defies mere coincidence or random fluctuation. It was as if Emani's influence was akin to the gravitational pull of a statistical celestial body, guiding the trajectory of Democrat votes in Connecticut with an invisible but unmistakable force. The precision of this relationship, accompanied by a p-value lower than a subterranean hideout, sent waves of astonishment through our research team, like a statistical rollercoaster thrilling us to our scientific core.
Furthermore, the visual representation of this compelling correlation is depicted in Figure 1, a scatterplot that showcases the unmistakable pattern of Emani's popularity intertwining with the ebb and flow of Democrat votes in Connecticut. The plot is as revelatory as a well-crafted pun, laying bare the undeniable connection between a name and the political preferences of an entire state.
In light of these findings, it becomes clear that the allure of a name can ripple through the socio-political landscape in unexpected ways, leaving an indelible mark on the tides of electoral fortune. This study offers a thought-provoking inquiry into the bewildering dance of nomenclature and political allegiance, underscoring the potent influence of Emani's resonance on the landscape of Connecticut's political tapestry. The statistical spotlight shines brightly on this captivating relationship, beckoning further exploration into the intriguing interplay between names and voting behaviors, with the hope that future research may unravel even more of the captivating enigmas hiding within the folds of data and human experience.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The a-peel of our research findings is as clear as a statistical bell curve, revealing a captivating connection between the prevalence of the first name Emani and the political proclivities of Connecticut's electorate. Our results echo the sentiments of prior researchers, who, much like intrepid explorers of nomenclature, have ventured into the intriguing realm where personal names intersect with human behavior. The curious interplay between nomenclature and political leaning seems to be as intricate as a complex algorithm, and our study offers a statistical testimony to the potent influence of Emani's prominence on the voting landscape.

With a correlation coefficient of 0.9763021 that stands firmer than a seasoned statistical titan, our results corroborate the notion that personal names can wield a subtle yet undeniable sway over electoral dynamics. This finding echoes the whimsical musings of Smith (2015), who delved into the psychological implications of name preferences, hinting at the unassuming yet influential role of nomenclature in shaping individual identity and social interactions. Similarly, our results resonate with the intriguing insights of Jones (2020), who navigated the intricate terrain where first names and political leanings converge, painting a picture of the captivating interplay between nomenclature and voting behaviors.

Riding on the coattails of statistical significance, our study expands the horizon of inquiry into the captivating dance of nomenclature and political allegiance, offering a lens through which we can contemplate the intriguing interplay of Emani's prominence on the electoral stage. The robustness of this relationship, as captured by the r-squared value of 0.9531659, leaves little room for doubt – the resonance of Emani's name extends beyond the individual, casting a statistical ripple that permeates the collective political consciousness of Connecticut's electorate.

This study, much like a well-crafted pun, invites further contemplation of the enigmatic influences that nestle within the folds of data and human experience. The correlation between Emani's popularity and Democrat votes in Connecticut beckons the scholarly community to unearth more of the captivating enigmas that lie at the intersection of nomenclature and political behaviors. As we reflect on the statistical symphony of our findings, we are reminded of the enchanting poetry that underlies the interplay between names and voting patterns, prompting us to tread the path of inquiry with earnest curiosity and a dash of whimsy.


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 Emani and Votes for the Democrat Presidential candidate in Connecticut. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut

[[ABSTRACT]]
The present study delves into the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut. Leveraging data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse, our research team employed a rigorous statistical approach to investigate this curious phenomenon. The findings revealed a strikingly high correlation coefficient of 0.9763021 and a p-value lower than a basement in a skyscraper, indicating a significant relationship between the two variables for the period spanning from 1990 to 2020. This study sheds light on the intriguing interplay between individual name preferences and political leanings, offering food for thought and statistical insights that will surely make you think "Emani, Emani, does whatever a predictor cani!"

[[INTRDUCTION]]
The etymological landscape of names has long been a source of fascination, sparking debates about cultural trends, parental preferences, and, of course, the occasional amusement when encountering a uniquely resonant appellation. In the realm of political science, the intersection of nomenclature and voting behavior has progressively gained attention, prompting inquiries that peel back the layers of human cognition and identity formation. Our study contributes to this burgeoning field by examining the curious correlation between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut.
Venturing into the realm of statistical analysis, we embarked on this journey armed with a treasure trove of data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse. Like intrepid explorers navigating uncharted territories of empirical research, we sought to uncover the hidden ties that bind individual name choices and political affiliations. As we set sail on this statistical voyage, we marveled at the peculiar potential of a name to transcend its phonetic boundaries and weave itself into the fabric of electoral dynamics.
Our investigation, akin to an intricate dance between variables, unearthed a strikingly high correlation coefficient of 0.9763021. This finding, while impressively robust, left us contemplating the mysterious forces at play, evoking a sense of marvel akin to uncovering a statistical treasure trove. As we delved deeper into the labyrinth of data, the p-value emerged as a noteworthy protagonist in our narrative - lower than a basement in a skyscraper, it signaled a resounding significance underpinning the relationship between the variables. The statistical orchestra was in full swing, producing a harmonic convergence that tantalized our intellectual palates.
The temporal scope of our study, spanning from 1990 to 2020, provided a panoramic view of the unfolding saga between Emani's proliferation and the ebb and flow of Democrat support in Connecticut. With each passing electoral cycle, the dynamic interplay between the name Emani and the electorate's political preferences was revealed in a symphony of statistical prowess and sociopolitical intrigue. As we traversed the annals of time, we marveled at the nuances and fluctuations that imbued our analysis with a narrative arc worthy of an epic tale.
By peering through the lens of rigorous statistical methods, we aim to chart a course that not only elucidates the enigmatic connection between Emani's popularity and Democrat votes but also lays the groundwork for future studies to explore the uncharted territories of name-based predictive modeling. Through this endeavor, may our findings prompt a thought-provoking moment for scholars and laypersons alike, igniting a spark of curiosity that transcends the confines of statistical analyses and sparks conversations that make one ponder, "Emani, Emani, does whatever a predictor cani!"

[[RESULTS]]
The analysis of the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in Connecticut yielded compelling results that left our research team bemused and intrigued. The correlation coefficient of 0.9763021 leapt out like a rare gem in the wilderness of statistical exploration, sparkling with a level of significance that could make even the staunchest skeptic do a double-take. It seemed that Emani's popularity was more than just a name; it carried with it a curious sway over the political inclinations of Connecticut's electorate, as serene as the calm before a statistical storm.
With an r-squared value of 0.9531659, our findings provide robust evidence of a relationship that defies mere coincidence or random fluctuation. It was as if Emani's influence was akin to the gravitational pull of a statistical celestial body, guiding the trajectory of Democrat votes in Connecticut with an invisible but unmistakable force. The precision of this relationship, accompanied by a p-value lower than a subterranean hideout, sent waves of astonishment through our research team, like a statistical rollercoaster thrilling us to our scientific core.
Furthermore, the visual representation of this compelling correlation is depicted in Figure 1, a scatterplot that showcases the unmistakable pattern of Emani's popularity intertwining with the ebb and flow of Democrat votes in Connecticut. The plot is as revelatory as a well-crafted pun, laying bare the undeniable connection between a name and the political preferences of an entire state.
In light of these findings, it becomes clear that the allure of a name can ripple through the socio-political landscape in unexpected ways, leaving an indelible mark on the tides of electoral fortune. This study offers a thought-provoking inquiry into the bewildering dance of nomenclature and political allegiance, underscoring the potent influence of Emani's resonance on the landscape of Connecticut's political tapestry. The statistical spotlight shines brightly on this captivating relationship, beckoning further exploration into the intriguing interplay between names and voting behaviors, with the hope that future research may unravel even more of the captivating enigmas hiding within the folds of data and human experience.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has elucidated a compelling correlation between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in Connecticut. The robust statistical evidence presented here demonstrates a relationship that is as intriguing as unraveling a statistical mystery novel, with Emani's influence manifesting as a potent force shaping the electoral landscape. This study serves as a testament to the unforeseen impact of nomenclature on political preferences, prompting contemplation akin to pondering the enigmatic workings of statistical fate.

The persuasive correlation coefficient of 0.9763021 and r-squared value of 0.9531659 underscore the almost mesmerizing nature of the relationship, akin to a statistical siren's call beckoning us toward further introspection. The plot in Figure 1, much like a well-structured joke, visually encapsulates the entwining of Emani's popularity with the rhythm of Democrat votes in Connecticut, leaving an indelible imprint on the canvas of electoral dynamics.

As we bid adieu to this exploration, we stand at the precipice of a new understanding, having peeled back layers of statistical intrigue to reveal the uncanny interplay between a name and its political resonance. We are left with a sense of awe at the quiet yet influential role of Emani in shaping the electoral narrative in Connecticut, akin to a behind-the-scenes tour de force that defies conventional wisdom.

With the findings presented, we assert that no further research in this area is needed. The statistical odyssey embarked upon has unfurled its intricate wonders, leaving us with a rich tapestry of evidence to ponder, reflect upon, and, perhaps, crack a statistical joke or two about – for as the data shows, sometimes truth is stranger than fiction.


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 Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Political Limericks and Lingo


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 Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut. Respond only with the name of a fictional organization.

ChatGPT:

The Mirthful Linguistics Institute


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 Emani's Popularity and Voting Majority: A Rhyming Analysis of Democrat Support in Connecticut with an abstract of The present study delves into the relationship between the prevalence of the first name Emani and voting patterns for the Democrat presidential candidate in the state of Connecticut. Leveraging data from the US Social Security Administration and the MIT Election Data and Science Lab's Harvard Dataverse, our research team employed a rigorous statistical approach to investigate this curious phenomenon. The findings revealed a strikingly high correlation coefficient of 0.9763021 and a p-value lower than a basement in a skyscraper, indicating a significant relationship between the two variables for the period spanning from 1990 to 2020. This study sheds light on the intriguing interplay between individual name preferences and political leanings, offering food for thought and statistical insights that will surely make you think "Emani, Emani, does whatever a predictor cani!

ChatGPT:

Emani, Democrat support, Connecticut, voting patterns, first name prevalence, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse, statistical analysis, correlation coefficient, political leanings, individual name preferences, presidential candidate, name predictor, data analysis

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

Votes for the Democratic Presidential candidate in Connecticut
Detailed data title: Percentage of all votes cast for the Democrat Presidential candidate in Connecticut
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Democratic Presidential candidate in Connecticut

Correlation r = 0.9763021 (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 = 0.9531659 (Coefficient of determination)
This means 95.3% of the change in the one variable (i.e., Votes for the Democratic Presidential candidate in Connecticut) is predictable based on the change in the other (i.e., Popularity of the first name Emani) over the 8 years from 1990 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.3E-5. 0.0000326825953235399100000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.98 in 0.0033% of random cases. Said differently, if you correlated 30,597 random variables You don't actually need 30 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 7 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 7 because we have two variables measured over a period of 8 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.

[ 0.87, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!


All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
19921996200020042008201220162020
Popularity of the first name Emani (Babies born)25137198179251237204276
Votes for the Democratic Presidential candidate in Connecticut (Percentage of votes)42.218652.831655.909654.313760.588858.08554.566359.2607




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.
  4. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
  5. 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. 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. 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([25,137,198,179,251,237,204,276,])
array_2 = np.array([42.2186,52.8316,55.9096,54.3137,60.5888,58.085,54.5663,59.2607,])
array_1_name = "Popularity of the first name Emani"
array_2_name = "Votes for the Democratic Presidential candidate 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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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: 5198 · Black Variable ID: 4153 · Red Variable ID: 26067
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