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Spurious correlation #4,436 · 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 Bryan and the second variable is Votes for the Republican Presidential candidate in Maryland.  The chart goes from 1976 to 2020, and the two variables track closely in value over that time. Small Image

AI explanation

As the popularity of the name Bryan waned, so did the number of people spontaneously breaking into Bryan Adams' songs, like "Summer of '69." This led to a statewide shortage of karaoke machines, depriving Republicans of a key campaign strategy and ultimately impacting the election outcome.

Model: dalle-3
Prompt: Generate an image of a Maryland karaoke bar with a dwindling number of people singing Bryan Adams' "Summer of '69." Show the name "Bryan" slowly vanishing from a popularity chart in the background, while karaoke machines become scarce. Additionally, hint at the impact on the Republican campaign's ability to rally voters and its influence on the state's Presidential candidate votes. Include subtle political campaign paraphernalia to convey the context. 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 Bryan and Votes for the Republican Presidential candidate in Maryland. 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: High-tech Woodblock painting a Polaroid photo A TIME magazine cover image Cybernetic art
ChatGPT: A TIME magazine cover image

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Bryan and Votes for the Republican Presidential candidate in Maryland, in the following situation: As the popularity of the name Bryan waned, so did the number of people spontaneously breaking into Bryan Adams' songs, like "Summer of '69." This led to a statewide shortage of karaoke machines, depriving Republicans of a key campaign strategy and ultimately impacting the election outcome.. Keep the description simple.
ChatGPT: In a Maryland karaoke bar, the name "Bryan" was slowly vanishing from the popularity charts, coinciding with a decrease in the number of people singing Bryan Adams' "Summer of '69." As a result, a scarcity of karaoke machines ensued, affecting the Republican campaign's ability to rally voters and influencing the votes for the Presidential candidate 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: [ A TIME magazine cover image ] and depicting this scene: In a Maryland karaoke bar, the name "Bryan" was slowly vanishing from the popularity charts, coinciding with a decrease in the number of people singing Bryan Adams' "Summer of '69." As a result, a scarcity of karaoke machines ensued, affecting the Republican campaign's ability to rally voters and influencing the votes for the Presidential candidate in the state. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a Maryland karaoke bar with a dwindling number of people singing Bryan Adams' "Summer of '69." Show the name "Bryan" slowly vanishing from a popularity chart in the background, while karaoke machines become scarce. Additionally, hint at the impact on the Republican campaign's ability to rally voters and its influence on the state's Presidential candidate votes. Include subtle political campaign paraphernalia to convey the context.

*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 a decrease in Popularity of the first name Bryan caused Votes for the Republican Presidential candidate in Maryland to decrease. Make it feel plausible.

AI academic paper

(Because p < 0.01)
The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland

The Journal of Political Nomenclature

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 researcher writing an academic paper.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 Bryan and Votes for the Republican Presidential candidate in Maryland. Make lots of jokes, goofy observations, and puns.

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

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 0.8391741 and p < 0.01 for 1976 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]]
"The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland"

[[ABSTRACT]]
This paper investigates the intriguing correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in the state of Maryland. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse to delve into this peculiar connection. The findings revealed a remarkably high correlation coefficient of 0.8391741 with a p-value of less than 0.01 for the years spanning from 1976 to 2020. The results not only shed light on the influence of monikers on political preferences but also prompt a re-evaluation of the impact of personal nomenclature on electoral outcomes. Whether it's a case of "Bryan the Vote" or mere happenstance, this study offers a playful yet thought-provoking avenue for further exploration in the realms of sociology and political science.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bryan and Votes for the Republican Presidential candidate in Maryland. Make lots of 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]]
"The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland"

[[ABSTRACT]]
This paper investigates the intriguing correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in the state of Maryland. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse to delve into this peculiar connection. The findings revealed a remarkably high correlation coefficient of 0.8391741 with a p-value of less than 0.01 for the years spanning from 1976 to 2020. The results not only shed light on the influence of monikers on political preferences but also prompt a re-evaluation of the impact of personal nomenclature on electoral outcomes. Whether it's a case of "Bryan the Vote" or mere happenstance, this study offers a playful yet thought-provoking avenue for further exploration in the realms of sociology and political science.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

"Call me Bryan, for it is in a name that we find the essence of a man," said Shakespeare, or at least something close to that. While the Bard was most likely waxing poetic about the power of a name in shaping one's identity, our research tackles a more politically charged conundrum - the Bryan identity and its curious connection to Republican votes in the great state of Maryland.

As researchers, we often find ourselves immersed in the world of numbers, statistics, and hypothesis testing, but seldom do we stumble upon a correlation as eyebrow-raising as the one we are about to unveil. Like a magician pulling a rabbit out of a hat, we embarked on this journey with one question in mind: is there something more than mere coincidence behind the name Bryan and the Republican persuasion of voters? Strap in, fellow intellectuals, as we navigate through waves of data and puns, to unlock the mystery of the Bryan identity and its political connotations.

We live in an era where every aspect of our lives is dissected, prodded, and analyzed under the unforgiving microscope of data science. In the midst of this deluge of information, the spotlight seldom falls on the influence of a name on our political inclinations. But fear not, dear reader, for our team of intrepid researchers took it upon ourselves to explore this uncharted territory, armed with spreadsheets, caffeine, and an irrepressible sense of humor - because what's research without a sprinkle of wit?

The "Bryan Identity" may not rival Jason Bourne's adventures, but it certainly has its own share of intrigue and unexpected plot twists. With data sourced from the esteemed US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to debunk the notion that a rose by any other name would cast the same vote. Along the way, we encountered correlation coefficients, p-values, and enough data points to make a math whiz blush - making us momentarily question whether we inadvertently stumbled into a statistics convention instead of a research project.

Our findings, much like a good punchline, are bound to elicit both surprise and contemplation. The correlation coefficient of 0.8391741 that we unearthed through our rigorous analysis left us wondering if "Bryan the Vote" has a better ring to it than we initially thought. And with a p-value of less than 0.01, statistically speaking, our results are as rock-solid as Newton's laws, or at least, as close to it as you can get in the unpredictable realm of social sciences.

So, buckle up and don your name-tag, as we venture into a whimsical yet empirical expedition that promises to tickle your funny bone and stimulate your intellectual curiosity. As we unveil the curious relationship between the name Bryan and Republican votes in Maryland, one thing is for certain: this is no ordinary academic paper. Prepare for an adventure through the quirky world of nomenclature and politics - where the name "Bryan" takes a center stage, and the statistical quirks make for unexpected plot twists.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bryan and Votes for the Republican Presidential candidate in Maryland. 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
"The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland"

[[ABSTRACT]]
This paper investigates the intriguing correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in the state of Maryland. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse to delve into this peculiar connection. The findings revealed a remarkably high correlation coefficient of 0.8391741 with a p-value of less than 0.01 for the years spanning from 1976 to 2020. The results not only shed light on the influence of monikers on political preferences but also prompt a re-evaluation of the impact of personal nomenclature on electoral outcomes. Whether it's a case of "Bryan the Vote" or mere happenstance, this study offers a playful yet thought-provoking avenue for further exploration in the realms of sociology and political science.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
"Call me Bryan, for it is in a name that we find the essence of a man," said Shakespeare, or at least something close to that. While the Bard was most likely waxing poetic about the power of a name in shaping one's identity, our research tackles a more politically charged conundrum - the Bryan identity and its curious connection to Republican votes in the great state of Maryland.
As researchers, we often find ourselves immersed in the world of numbers, statistics, and hypothesis testing, but seldom do we stumble upon a correlation as eyebrow-raising as the one we are about to unveil. Like a magician pulling a rabbit out of a hat, we embarked on this journey with one question in mind: is there something more than mere coincidence behind the name Bryan and the Republican persuasion of voters? Strap in, fellow intellectuals, as we navigate through waves of data and puns, to unlock the mystery of the Bryan identity and its political connotations.
We live in an era where every aspect of our lives is dissected, prodded, and analyzed under the unforgiving microscope of data science. In the midst of this deluge of information, the spotlight seldom falls on the influence of a name on our political inclinations. But fear not, dear reader, for our team of intrepid researchers took it upon ourselves to explore this uncharted territory, armed with spreadsheets, caffeine, and an irrepressible sense of humor - because what's research without a sprinkle of wit?
The "Bryan Identity" may not rival Jason Bourne's adventures, but it certainly has its own share of intrigue and unexpected plot twists. With data sourced from the esteemed US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to debunk the notion that a rose by any other name would cast the same vote. Along the way, we encountered correlation coefficients, p-values, and enough data points to make a math whiz blush - making us momentarily question whether we inadvertently stumbled into a statistics convention instead of a research project.
Our findings, much like a good punchline, are bound to elicit both surprise and contemplation. The correlation coefficient of 0.8391741 that we unearthed through our rigorous analysis left us wondering if "Bryan the Vote" has a better ring to it than we initially thought. And with a p-value of less than 0.01, statistically speaking, our results are as rock-solid as Newton's laws, or at least, as close to it as you can get in the unpredictable realm of social sciences.
So, buckle up and don your name-tag, as we venture into a whimsical yet empirical expedition that promises to tickle your funny bone and stimulate your intellectual curiosity. As we unveil the curious relationship between the name Bryan and Republican votes in Maryland, one thing is for certain: this is no ordinary academic paper. Prepare for an adventure through the quirky world of nomenclature and politics - where the name "Bryan" takes a center stage, and the statistical quirks make for unexpected plot twists.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The relationship between name popularity and political leanings has been a topic of interest for researchers across various disciplines. Smith and Doe (2005) conducted a study examining the impact of first names on political affiliation, finding a modest correlation between certain names and voting behavior. Similarly, Jones et al. (2010) delved into the psychological underpinnings of name perception, highlighting the subconscious biases that individuals may hold based on nomenclature.

However, as we delve into the realms of name-based political predilections, we cannot help but encounter a diverse array of literary works that shed light, albeit in an unconventional manner, on the peculiar relationship between names and political attitudes. In "The Name of the Vote" by Lorem Ipsum (2012), the author humorously intertwines the quirks of nomenclature with the unpredictable dynamics of electoral preferences, offering a whimsical take on the potential influence of names on voting behavior. Conversely, "Vote and Prejudice" by Mary Shelley (1813) presents a fictitious yet engaging depiction of how societal biases and name associations may permeate into the political sphere.

Drawing from our interdisciplinary inclinations, we also turned to the world of board games for inspiration. The renowned game "Pandemic" seems to harbor an unexpected resemblance to our research endeavor, as we navigate through the intricate web of factors influencing political choices akin to disease containment. Meanwhile, the game "Clue" offers a playful analogy to the exploration of correlations, as we aim to uncover the elusive culprits behind name popularity and voting patterns.

As we step into this labyrinth of monikers and political persuasions, one thing becomes abundantly clear - the correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in Maryland is a puzzle that beckons a blend of statistical rigor and lighthearted curiosity. So, dear reader, fasten your seatbelt and ready your sense of humor, for what lies ahead is a foray into the amusing yet thought-provoking landscape of name-based political whimsy.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bryan and Votes for the Republican Presidential candidate in Maryland. Make lots of 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 1976 to 2020

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland"

[[ABSTRACT]]
This paper investigates the intriguing correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in the state of Maryland. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse to delve into this peculiar connection. The findings revealed a remarkably high correlation coefficient of 0.8391741 with a p-value of less than 0.01 for the years spanning from 1976 to 2020. The results not only shed light on the influence of monikers on political preferences but also prompt a re-evaluation of the impact of personal nomenclature on electoral outcomes. Whether it's a case of "Bryan the Vote" or mere happenstance, this study offers a playful yet thought-provoking avenue for further exploration in the realms of sociology and political science.

[[INTRODUCTION]]
"Call me Bryan, for it is in a name that we find the essence of a man," said Shakespeare, or at least something close to that. While the Bard was most likely waxing poetic about the power of a name in shaping one's identity, our research tackles a more politically charged conundrum - the Bryan identity and its curious connection to Republican votes in the great state of Maryland.
As researchers, we often find ourselves immersed in the world of numbers, statistics, and hypothesis testing, but seldom do we stumble upon a correlation as eyebrow-raising as the one we are about to unveil. Like a magician pulling a rabbit out of a hat, we embarked on this journey with one question in mind: is there something more than mere coincidence behind the name Bryan and the Republican persuasion of voters? Strap in, fellow intellectuals, as we navigate through waves of data and puns, to unlock the mystery of the Bryan identity and its political connotations.
We live in an era where every aspect of our lives is dissected, prodded, and analyzed under the unforgiving microscope of data science. In the midst of this deluge of information, the spotlight seldom falls on the influence of a name on our political inclinations. But fear not, dear reader, for our team of intrepid researchers took it upon ourselves to explore this uncharted territory, armed with spreadsheets, caffeine, and an irrepressible sense of humor - because what's research without a sprinkle of wit?
The "Bryan Identity" may not rival Jason Bourne's adventures, but it certainly has its own share of intrigue and unexpected plot twists. With data sourced from the esteemed US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to debunk the notion that a rose by any other name would cast the same vote. Along the way, we encountered correlation coefficients, p-values, and enough data points to make a math whiz blush - making us momentarily question whether we inadvertently stumbled into a statistics convention instead of a research project.
Our findings, much like a good punchline, are bound to elicit both surprise and contemplation. The correlation coefficient of 0.8391741 that we unearthed through our rigorous analysis left us wondering if "Bryan the Vote" has a better ring to it than we initially thought. And with a p-value of less than 0.01, statistically speaking, our results are as rock-solid as Newton's laws, or at least, as close to it as you can get in the unpredictable realm of social sciences.
So, buckle up and don your name-tag, as we venture into a whimsical yet empirical expedition that promises to tickle your funny bone and stimulate your intellectual curiosity. As we unveil the curious relationship between the name Bryan and Republican votes in Maryland, one thing is for certain: this is no ordinary academic paper. Prepare for an adventure through the quirky world of nomenclature and politics - where the name "Bryan" takes a center stage, and the statistical quirks make for unexpected plot twists.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To untangle the enigmatic connection between the name Bryan and Republican votes in Maryland, our research team embarked on a scientific romp through historical data, statistical analyses, and the inevitable puns that accompany such quirky research endeavors.

Data Collection:
Our journey began with scouring the extensive records of the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, where we rustled up a treasure trove of information spanning from 1976 to 2020. Armed with spreadsheets and a metaphorical magnifying glass, we painstakingly sifted through the data to extract the hidden patterns that lay dormant among the electoral digits.

Correlation Quest:
With the data in hand and spirits high, we summoned the mighty power of statistical analysis to sniff out any potential link between the prevalence of the name Bryan and votes cast for the Republican candidate in the state of Maryland. This involved applying correlation coefficients, regression analyses, and a slew of other statistical acrobatics that left our heads spinning faster than a centrifuge on overdrive.

Pun-tificating on the Findings:
As the dust settled and the results crystallized like a Eureka moment in a lab, we were astounded to witness a correlation coefficient of 0.8391741 staring back at us, practically winking and nudging us to acknowledge its numerical charm. The p-value, hovering at less than 0.01, seemed to whisper, "Statistical significance? You betcha!" much like a mischievous lab assistant reveling in a brilliant experiment.

Boisterous Data Parties:
In the spirit of scientific camaraderie, we regaled our findings at research conferences and academic gatherings, much to the amusement of our peers, who couldn't resist joining in on the name-themed merriment. Exchanging quips about "Bryan the Vote" and "Rise of the Bryans," we showcased our results with a dash of scientific showmanship, because, let's face it, who said academia had to be all serious and no play?

Delving into the Name-Republican Nexus:
While it may seem like we waded into the murky waters of statistical analysis armed with naught but a name and some wild folklore, our research endeavors were grounded in the firm bedrock of data science, peppered with the occasional quip and a healthy dose of irreverent curiosity. And as we present our findings, we invite fellow scholars to embrace the puns, relish the statistical quirks, and join in on the scientific revelry - for in the splendid chaos of research, a little humor can serve as the balm to soothe the statistical soul.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bryan and Votes for the Republican Presidential candidate in Maryland. Make lots of 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 1976 to 2020, you found a correlation 0.8391741, r-squared of 0.7042132, 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]]
"The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland"

[[ABSTRACT]]
This paper investigates the intriguing correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in the state of Maryland. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse to delve into this peculiar connection. The findings revealed a remarkably high correlation coefficient of 0.8391741 with a p-value of less than 0.01 for the years spanning from 1976 to 2020. The results not only shed light on the influence of monikers on political preferences but also prompt a re-evaluation of the impact of personal nomenclature on electoral outcomes. Whether it's a case of "Bryan the Vote" or mere happenstance, this study offers a playful yet thought-provoking avenue for further exploration in the realms of sociology and political science.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
"Call me Bryan, for it is in a name that we find the essence of a man," said Shakespeare, or at least something close to that. While the Bard was most likely waxing poetic about the power of a name in shaping one's identity, our research tackles a more politically charged conundrum - the Bryan identity and its curious connection to Republican votes in the great state of Maryland.
As researchers, we often find ourselves immersed in the world of numbers, statistics, and hypothesis testing, but seldom do we stumble upon a correlation as eyebrow-raising as the one we are about to unveil. Like a magician pulling a rabbit out of a hat, we embarked on this journey with one question in mind: is there something more than mere coincidence behind the name Bryan and the Republican persuasion of voters? Strap in, fellow intellectuals, as we navigate through waves of data and puns, to unlock the mystery of the Bryan identity and its political connotations.
We live in an era where every aspect of our lives is dissected, prodded, and analyzed under the unforgiving microscope of data science. In the midst of this deluge of information, the spotlight seldom falls on the influence of a name on our political inclinations. But fear not, dear reader, for our team of intrepid researchers took it upon ourselves to explore this uncharted territory, armed with spreadsheets, caffeine, and an irrepressible sense of humor - because what's research without a sprinkle of wit?
The "Bryan Identity" may not rival Jason Bourne's adventures, but it certainly has its own share of intrigue and unexpected plot twists. With data sourced from the esteemed US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to debunk the notion that a rose by any other name would cast the same vote. Along the way, we encountered correlation coefficients, p-values, and enough data points to make a math whiz blush - making us momentarily question whether we inadvertently stumbled into a statistics convention instead of a research project.
Our findings, much like a good punchline, are bound to elicit both surprise and contemplation. The correlation coefficient of 0.8391741 that we unearthed through our rigorous analysis left us wondering if "Bryan the Vote" has a better ring to it than we initially thought. And with a p-value of less than 0.01, statistically speaking, our results are as rock-solid as Newton's laws, or at least, as close to it as you can get in the unpredictable realm of social sciences.
So, buckle up and don your name-tag, as we venture into a whimsical yet empirical expedition that promises to tickle your funny bone and stimulate your intellectual curiosity. As we unveil the curious relationship between the name Bryan and Republican votes in Maryland, one thing is for certain: this is no ordinary academic paper. Prepare for an adventure through the quirky world of nomenclature and politics - where the name "Bryan" takes a center stage, and the statistical quirks make for unexpected plot twists.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our data analysis revealed a striking correlation between the popularity of the first name "Bryan" and the votes for the Republican presidential candidate in the state of Maryland from 1976 to 2020. The correlation coefficient of 0.8391741 indicated a robust relationship between these two variables, akin to the gravitational pull of the moon on the tides or the allure of a statistical enigma to a curious researcher.

But wait, before jumping to any hasty conclusions, our trusty scatterplot (Fig. 1) came to the rescue, visually showcasing the linear relationship between the frequency of the name "Bryan" and the Republican votes. It was as clear as day, much like a neon sign in the midst of a statistical fog, that there existed a tangible connection between nomenclature and political proclivities.

The r-squared value of 0.7042132 further underscored the strength of this association, leaving us in a state of mild disbelief, akin to the shock of stumbling upon a unicorn in a statistical pasture. It was as if the correlation had dropped in uninvited and proceeded to charm our hearts with its allure, much like a quirky protagonist in a romantic comedy.

In the grand tradition of research, the p-value of less than 0.01 added a touch of suspense to our findings, making us feel like characters in a suspense novel waiting for the inevitable plot twist. The statistical stars seemed to align in our favor, as the evidence for a substantial relationship between the name "Bryan" and Republican votes in Maryland became increasingly undeniable.

These results not only paint a colorful picture of the Bryan identity's influence on political leanings, but they also serve as a testament to the captivating nature of statistical revelations. It's like stumbling upon a treasure trove of data in the midst of a research desert or finding the missing puzzle piece right under your nose—except in this case, the missing piece was the baffling link between a name and political preferences.

In summary, our findings highlight the undeniable correlation between the name "Bryan" and Republican votes in Maryland, leaving us with more questions than answers. Whether it's a case of political serendipity or a deeper societal phenomenon, the Bryan identity has undoubtedly left its intriguing mark on the political landscape—a testament to the unforeseen whims of statistical quirkiness.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bryan and Votes for the Republican Presidential candidate in Maryland. Make lots of 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]]
"The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland"

[[ABSTRACT]]
This paper investigates the intriguing correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in the state of Maryland. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse to delve into this peculiar connection. The findings revealed a remarkably high correlation coefficient of 0.8391741 with a p-value of less than 0.01 for the years spanning from 1976 to 2020. The results not only shed light on the influence of monikers on political preferences but also prompt a re-evaluation of the impact of personal nomenclature on electoral outcomes. Whether it's a case of "Bryan the Vote" or mere happenstance, this study offers a playful yet thought-provoking avenue for further exploration in the realms of sociology and political science.

[[LITERATURE REVIEW]]
The relationship between name popularity and political leanings has been a topic of interest for researchers across various disciplines. Smith and Doe (2005) conducted a study examining the impact of first names on political affiliation, finding a modest correlation between certain names and voting behavior. Similarly, Jones et al. (2010) delved into the psychological underpinnings of name perception, highlighting the subconscious biases that individuals may hold based on nomenclature.
However, as we delve into the realms of name-based political predilections, we cannot help but encounter a diverse array of literary works that shed light, albeit in an unconventional manner, on the peculiar relationship between names and political attitudes. In "The Name of the Vote" by Lorem Ipsum (2012), the author humorously intertwines the quirks of nomenclature with the unpredictable dynamics of electoral preferences, offering a whimsical take on the potential influence of names on voting behavior. Conversely, "Vote and Prejudice" by Mary Shelley (1813) presents a fictitious yet engaging depiction of how societal biases and name associations may permeate into the political sphere.
Drawing from our interdisciplinary inclinations, we also turned to the world of board games for inspiration. The renowned game "Pandemic" seems to harbor an unexpected resemblance to our research endeavor, as we navigate through the intricate web of factors influencing political choices akin to disease containment. Meanwhile, the game "Clue" offers a playful analogy to the exploration of correlations, as we aim to uncover the elusive culprits behind name popularity and voting patterns.
As we step into this labyrinth of monikers and political persuasions, one thing becomes abundantly clear - the correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in Maryland is a puzzle that beckons a blend of statistical rigor and lighthearted curiosity. So, dear reader, fasten your seatbelt and ready your sense of humor, for what lies ahead is a foray into the amusing yet thought-provoking landscape of name-based political whimsy.

[[RESULTS]]
Our data analysis revealed a striking correlation between the popularity of the first name "Bryan" and the votes for the Republican presidential candidate in the state of Maryland from 1976 to 2020. The correlation coefficient of 0.8391741 indicated a robust relationship between these two variables, akin to the gravitational pull of the moon on the tides or the allure of a statistical enigma to a curious researcher.
But wait, before jumping to any hasty conclusions, our trusty scatterplot (Fig. 1) came to the rescue, visually showcasing the linear relationship between the frequency of the name "Bryan" and the Republican votes. It was as clear as day, much like a neon sign in the midst of a statistical fog, that there existed a tangible connection between nomenclature and political proclivities.
The r-squared value of 0.7042132 further underscored the strength of this association, leaving us in a state of mild disbelief, akin to the shock of stumbling upon a unicorn in a statistical pasture. It was as if the correlation had dropped in uninvited and proceeded to charm our hearts with its allure, much like a quirky protagonist in a romantic comedy.
In the grand tradition of research, the p-value of less than 0.01 added a touch of suspense to our findings, making us feel like characters in a suspense novel waiting for the inevitable plot twist. The statistical stars seemed to align in our favor, as the evidence for a substantial relationship between the name "Bryan" and Republican votes in Maryland became increasingly undeniable.
These results not only paint a colorful picture of the Bryan identity's influence on political leanings, but they also serve as a testament to the captivating nature of statistical revelations. It's like stumbling upon a treasure trove of data in the midst of a research desert or finding the missing puzzle piece right under your nose—except in this case, the missing piece was the baffling link between a name and political preferences.
In summary, our findings highlight the undeniable correlation between the name "Bryan" and Republican votes in Maryland, leaving us with more questions than answers. Whether it's a case of political serendipity or a deeper societal phenomenon, the Bryan identity has undoubtedly left its intriguing mark on the political landscape—a testament to the unforeseen whims of statistical quirkiness.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study not only unveiled a significantly robust correlation between the popularity of the name "Bryan" and votes for the Republican presidential candidate in Maryland but also added a touch of whimsy to the landscape of statistical exploration. Our findings align with the prior research of Smith and Doe (2005) and Jones et al. (2010), who delved into the impact of names on political affiliation. While they might not have taken the Bryan identity as seriously as we did, the underlying theme of name-based political predilections received a playful yet unmistakable validation through our study.

Harkening back to the literature review, who would have thought that "The Name of the Vote" by Lorem Ipsum (2012) would offer an amusing yet surprisingly pertinent perspective on our findings? Perhaps there is a playful yet profound interplay between nomenclature and electoral preferences that warrants further scrutiny.

Our results echoed the surprising twists and turns depicted in "Pandemic" and "Clue," solidifying the notion that statistical inquiry can be just as exhilarating as a gripping board game. It's as if we were navigating through the intricate complexities akin to unlocking a mystery in "Clue," except our elusive culprit happened to be the uncanny connection between the name "Bryan" and Republican votes in Maryland.

Moreover, the correlation coefficient of 0.8391741 served as a beacon of statistical magnetism, drawing attention to the intriguing interplay between the Bryan identity and political proclivities. It's as if the data itself chose to dance to the tune of correlation, much like a statistical waltz unfolding before our analytical eyes.

The r-squared value of 0.7042132 further solidified our findings, akin to stumbling upon a rare mythical creature in the realm of statistical phenomena. The allure of statistical enchantment beckoned to us, much like a magnetic pull toward unraveling the captivating mystery of name-based political phenomena.

In the grand tradition of research, the p-value of less than 0.01 added a theatrical flair to our statistical journey, evoking a sense of anticipation akin to turning the pages of an enthralling suspense novel. It's as if the data itself chose to don the cloak of mystery, inviting us to unravel the enigmatic relationship between the name "Bryan" and Republican votes in Maryland.

In summary, our findings offer a lighthearted yet substantial validation of the link between the name "Bryan" and political leanings, embodying the whimsical nature of statistical discovery. Whether it's a case of statistical serendipity or a deeper societal phenomenon, the Bryan identity has undoubtedly left an indelible mark on the political tapestry, proving that statistical exploration can indeed be a delightful and enlightening adventure. So, dear reader, perhaps this is just the beginning of a captivating journey into the quirky world of name-based political whimsy.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bryan and Votes for the Republican Presidential candidate in Maryland. Make lots of 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]]
"The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland"

[[ABSTRACT]]
This paper investigates the intriguing correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in the state of Maryland. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse to delve into this peculiar connection. The findings revealed a remarkably high correlation coefficient of 0.8391741 with a p-value of less than 0.01 for the years spanning from 1976 to 2020. The results not only shed light on the influence of monikers on political preferences but also prompt a re-evaluation of the impact of personal nomenclature on electoral outcomes. Whether it's a case of "Bryan the Vote" or mere happenstance, this study offers a playful yet thought-provoking avenue for further exploration in the realms of sociology and political science.

[[INTRDUCTION]]
"Call me Bryan, for it is in a name that we find the essence of a man," said Shakespeare, or at least something close to that. While the Bard was most likely waxing poetic about the power of a name in shaping one's identity, our research tackles a more politically charged conundrum - the Bryan identity and its curious connection to Republican votes in the great state of Maryland.
As researchers, we often find ourselves immersed in the world of numbers, statistics, and hypothesis testing, but seldom do we stumble upon a correlation as eyebrow-raising as the one we are about to unveil. Like a magician pulling a rabbit out of a hat, we embarked on this journey with one question in mind: is there something more than mere coincidence behind the name Bryan and the Republican persuasion of voters? Strap in, fellow intellectuals, as we navigate through waves of data and puns, to unlock the mystery of the Bryan identity and its political connotations.
We live in an era where every aspect of our lives is dissected, prodded, and analyzed under the unforgiving microscope of data science. In the midst of this deluge of information, the spotlight seldom falls on the influence of a name on our political inclinations. But fear not, dear reader, for our team of intrepid researchers took it upon ourselves to explore this uncharted territory, armed with spreadsheets, caffeine, and an irrepressible sense of humor - because what's research without a sprinkle of wit?
The "Bryan Identity" may not rival Jason Bourne's adventures, but it certainly has its own share of intrigue and unexpected plot twists. With data sourced from the esteemed US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to debunk the notion that a rose by any other name would cast the same vote. Along the way, we encountered correlation coefficients, p-values, and enough data points to make a math whiz blush - making us momentarily question whether we inadvertently stumbled into a statistics convention instead of a research project.
Our findings, much like a good punchline, are bound to elicit both surprise and contemplation. The correlation coefficient of 0.8391741 that we unearthed through our rigorous analysis left us wondering if "Bryan the Vote" has a better ring to it than we initially thought. And with a p-value of less than 0.01, statistically speaking, our results are as rock-solid as Newton's laws, or at least, as close to it as you can get in the unpredictable realm of social sciences.
So, buckle up and don your name-tag, as we venture into a whimsical yet empirical expedition that promises to tickle your funny bone and stimulate your intellectual curiosity. As we unveil the curious relationship between the name Bryan and Republican votes in Maryland, one thing is for certain: this is no ordinary academic paper. Prepare for an adventure through the quirky world of nomenclature and politics - where the name "Bryan" takes a center stage, and the statistical quirks make for unexpected plot twists.

[[RESULTS]]
Our data analysis revealed a striking correlation between the popularity of the first name "Bryan" and the votes for the Republican presidential candidate in the state of Maryland from 1976 to 2020. The correlation coefficient of 0.8391741 indicated a robust relationship between these two variables, akin to the gravitational pull of the moon on the tides or the allure of a statistical enigma to a curious researcher.
But wait, before jumping to any hasty conclusions, our trusty scatterplot (Fig. 1) came to the rescue, visually showcasing the linear relationship between the frequency of the name "Bryan" and the Republican votes. It was as clear as day, much like a neon sign in the midst of a statistical fog, that there existed a tangible connection between nomenclature and political proclivities.
The r-squared value of 0.7042132 further underscored the strength of this association, leaving us in a state of mild disbelief, akin to the shock of stumbling upon a unicorn in a statistical pasture. It was as if the correlation had dropped in uninvited and proceeded to charm our hearts with its allure, much like a quirky protagonist in a romantic comedy.
In the grand tradition of research, the p-value of less than 0.01 added a touch of suspense to our findings, making us feel like characters in a suspense novel waiting for the inevitable plot twist. The statistical stars seemed to align in our favor, as the evidence for a substantial relationship between the name "Bryan" and Republican votes in Maryland became increasingly undeniable.
These results not only paint a colorful picture of the Bryan identity's influence on political leanings, but they also serve as a testament to the captivating nature of statistical revelations. It's like stumbling upon a treasure trove of data in the midst of a research desert or finding the missing puzzle piece right under your nose—except in this case, the missing piece was the baffling link between a name and political preferences.
In summary, our findings highlight the undeniable correlation between the name "Bryan" and Republican votes in Maryland, leaving us with more questions than answers. Whether it's a case of political serendipity or a deeper societal phenomenon, the Bryan identity has undoubtedly left its intriguing mark on the political landscape—a testament to the unforeseen whims of statistical quirkiness.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our exploration of the "Bryan Identity" has left us both baffled and amused, akin to stumbling upon a statistical carnival where correlation coefficients and p-values put on a dazzling performance. The robust correlation between the frequency of the name "Bryan" and Republican votes in Maryland has certainly raised more than a few eyebrows, much like a magic trick gone slightly awry – leaving us wondering if there's a statistical sleight of hand at play.

Our findings, though whimsical in nature, present a compelling case for the influence of nomenclature on political persuasions, akin to a quirky subplot in the grand narrative of societal dynamics. As we bid adieu to the captivating conundrum of the "Bryan" phenomenon, one thing is certain – this research has added a touch of zing to the often-dry world of statistical analysis.

However, much like a good joke, this study serves as a reminder that sometimes, the most inexplicable correlations can lead to intriguing insights. As for the future of this research, we dare say that the "Bryan Identity" has had its fair share of the limelight, and perhaps it's time to let other names step into the statistical arena. Let's not wear out our welcome with "Bryan," for in the realm of academic pursuit, one must know when to gracefully exit stage left. With that said, we assert that further research in this extraordinary area is, without a doubt, as unnecessary as a double-blind study on the correlation between unicorn sightings and rainbows.

In the anarchic world of statistical surprises, the "Bryan Identity" may just be the quirky cameo that leaves a lasting impression, but not one that needs a sequel. So, let's bid a fond farewell to the enigmatic allure of "Bryan" and dive headfirst into the next statistical adventure, where unpredictability and amusement await. As the curtains close on this peculiar chapter of statistical whimsy, we raise a metaphorical toast to the name "Bryan" and the charming statistical escapade it has led us on – a journey filled with curiosity, unexpected revelations, and a generous sprinkle of statistical merriment.


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 The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political Nomenclature


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 The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Sociological Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Bryan Identity: Exploring the Relationship Between Name Popularity and Republican Votes in Maryland with an abstract of This paper investigates the intriguing correlation between the popularity of the first name Bryan and votes for the Republican presidential candidate in the state of Maryland. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse to delve into this peculiar connection. The findings revealed a remarkably high correlation coefficient of 0.8391741 with a p-value of less than 0.01 for the years spanning from 1976 to 2020. The results not only shed light on the influence of monikers on political preferences but also prompt a re-evaluation of the impact of personal nomenclature on electoral outcomes. Whether it's a case of "Bryan the Vote" or mere happenstance, this study offers a playful yet thought-provoking avenue for further exploration in the realms of sociology and political science.

ChatGPT:

Bryan popularity, Republican votes, Maryland, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse, correlation coefficient, p-value, 1976-2020, monikers, political preferences, nomenclature, electoral outcomes, sociology, political science, "Bryan the Vote"

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

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

Correlation r = 0.8391741 (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 = 0.7042132 (Coefficient of determination)
This means 70.4% of the change in the one variable (i.e., Votes for the Republican Presidential candidate in Maryland) is predictable based on the change in the other (i.e., Popularity of the first name Bryan) over the 12 years from 1976 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00064. 0.0006425753722227483000000000
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 0.84 in 0.064% of random cases. Said differently, if you correlated 1,556 random variables Which I absolutely did.
with the same 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.51, 0.95 ] 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.
197619801984198819921996200020042008201220162020
Popularity of the first name Bryan (Babies born)733375778332809068625577617067615519309321321358
Votes for the Republican Presidential candidate in Maryland (Percentage of votes)46.964644.18152.505151.107635.629438.269540.184842.978236.474535.897716.959332.1503




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([7333,7577,8332,8090,6862,5577,6170,6761,5519,3093,2132,1358,])
array_2 = np.array([46.9646,44.181,52.5051,51.1076,35.6294,38.2695,40.1848,42.9782,36.4745,35.8977,16.9593,32.1503,])
array_1_name = "Popularity of the first name Bryan"
array_2_name = "Votes for the Republican Presidential candidate in Maryland"

# 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: 4436 · Black Variable ID: 2101 · Red Variable ID: 26111
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