Spurious correlation #5,667 · 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 Melody and the second variable is Votes for Republican Senators in West Virginia. The chart goes from 1978 to 2020, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Melody and the second variable is Votes for Republican Senators in West Virginia. The chart goes from 1978 to 2020, and the two variables track closely in value over that time.

Download png, svg

AI explanation

Perhaps there was a subconscious affinity for the idea of political harmony associated with the name Melody, leading to a greater willingness to support the Republican agenda. It's like they couldn't resist the siren song of conservative policies!

^{Show image generation prompt} Model: dalle-3
Prompt: "Create an image showing a bustling town square in West Virginia with a large "Vote for Republican Senators" banner hanging high. A leaderboard displaying popular baby names is prominently featured, drawing attention. People gather around, split between listening to a street musician playing a charming melody and a candidate's speech about conservative policies. The scene captures the harmonious allure of the name Melody, drawing potential voters to the sway of the Republican agenda. Incorporate a sense of movement and liveliness into the scene, emphasizing the captivating nature of the environment." 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 Melody and Votes for Republican Senators in West Virginia. 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: Oragami Voxel art Cute 2D animation a funny image you would see on reddit a meme
ChatGPT: a meme

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 Melody and Votes for Republican Senators in West Virginia, in the following situation: Perhaps there was a subconscious affinity for the idea of political harmony associated with the name Melody, leading to a greater willingness to support the Republican agenda. It's like they couldn't resist the siren song of conservative policies!. Keep the description simple.
ChatGPT: In a bustling town square in West Virginia, a large banner reading "Vote for Republican Senators" hangs proudly alongside a leaderboard displaying the popularity of baby names. A group of people gathers around, their attention split between a charming melody played by a street musician and a candidate's speech about conservative policies. The scene captures the harmonious allure of the name Melody, drawing potential voters to the sway of the Republican agenda.

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 meme ] and depicting this scene: In a bustling town square in West Virginia, a large banner reading "Vote for Republican Senators" hangs proudly alongside a leaderboard displaying the popularity of baby names. A group of people gathers around, their attention split between a charming melody played by a street musician and a candidate's speech about conservative policies. The scene captures the harmonious allure of the name Melody, drawing potential voters to the sway of the Republican agenda. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: "Create an image showing a bustling town square in West Virginia with a large "Vote for Republican Senators" banner hanging high. A leaderboard displaying popular baby names is prominently featured, drawing attention. People gather around, split between listening to a street musician playing a charming melody and a candidate's speech about conservative policies. The scene captures the harmonious allure of the name Melody, drawing potential voters to the sway of the Republican agenda. Incorporate a sense of movement and liveliness into the scene, emphasizing the captivating nature of the environment."

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Popularity of the first name Melody caused Republican votes for Senators in West Virginia to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

The Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State

The Journal of Sociopolitical Psychology and Name Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Melody and Republican votes for Senators in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
"The Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State"

[[ABSTRACT]]
The debate on how people's names might influence their political preferences has long been a topic of both intrigue and eyebrow-raising skepticism in academic circles. In this study, we untangle this mysterious relationship by examining the correlation between the popularity of the first name "Melody" and the voting patterns for Republican Senators in West Virginia. Drawing data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough analysis from 1978 to 2020.

Our team employed rigorous statistical methods and uncovered a striking correlation coefficient of 0.8282272 and p < 0.01. This finding suggests a robust relationship between the prevalence of the name "Melody" and the propensity to cast Republican votes amongst the denizens of the Mountain State.

Amidst the scholarly discussion and data analysis, we couldn't help but hum a few bars, pondering, "Does a melodic name ring in Republican support, or is it merely an amusing symphony of coincidence?"

This research not only sheds light on the quirkier side of political sociology but also provides a refreshing note of humor to the academically inclined. As we delve into this melody of mirth and meaning, we invite fellow researchers to embrace the harmony between data-driven inquiry and a good ol' dad joke. After all, finding the "treble" in correlation is music to our ears!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of social phenomena and political behavior has long fascinated researchers, prompting us to delve into the 'name game' and decipher its harmonious orchestration with political inclinations. After all, when it comes to politics, one cannot afford to be off-key. With that in mind, perhaps it's time to strike a chord and unravel the melodic connection present in the socio-political fabric of West Virginia.
As the saying goes, "Why don't scientists trust atoms? Because they make up everything!" Similarly, the supposition that the popularity of one's name may sway political loyalties might appear as a farcical notion at first glance. However, our research embarks on a melodious journey through the corridors of statistical significance to pluck the strings of correlation between the name "Melody" and Republican votes for Senators in West Virginia.
A name carries its own unique resonance, much like a striking chord in a complex symphony. The implications of this correlation could be music to the ears of political strategists and sociologists alike, prompting them to ponder whether the melody of a name plays a subconscious tune on the ballot box.
Amidst the wave of data and statistical analyses, our research seeks to inject a touch of lightheartedness into the often austere domain of academic inquiry. As one might say, "Why don't we tell secrets on a farm? Because the potatoes have eyes and the corn has ears!" In this spirit, we weave together the strands of empirical evidence and good ol' dad jokes to compose a compelling narrative that harmonizes both the serious and the whimsical aspects of our findings.
So, without further ado, let us embark on a journey that promises both a statistical symphony and a few pun-filled interludes - for what is academic research if not a bit of a playful dance between the serious and the silly?

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The correlation between the popularity of first names and political affiliations has garnered attention in recent years, prompting researchers to explore the intriguing interplay between nomenclature and voting behavior. Smith and Doe (2015) delved into this phenomenon, examining the connection between popular names and party preferences in various U.S. states. Meanwhile, Jones (2018) conducted a comprehensive study on the influence of names on electoral outcomes, shedding light on the subtle yet impactful role of nomenclature in shaping political loyalties.

However, amidst this serious scholarly discussion, we can't help but interject a dad joke or two. Why did the Republican Senator sit next to the barista? Because he heard they were brewing up a strong "right" blend! Ah, the sweet aroma of political humor.

In "The Name Game" by Laura Wattenberg and "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the authors explore the intricate relationship between names and social phenomena, providing valuable insights into how names might influence various aspects of life. Additionally, works of fiction such as "The Name of the Wind" by Patrick Rothfuss and "Song of Solomon" by Toni Morrison prompt us to ponder the symbolic significance of names in shaping personal and collective identities.

Of course, no academic exploration is complete without a detour into the world of pop culture. So, in the spirit of thorough research, the authors may or may not have binge-watched episodes of "Name That Tune" and "The Voice" in the pursuit of understanding the melodious tapestry of names and their potential impact on political ideologies. Hey, all in the name of scientific inquiry, right?

In "Name Drop," the authors find that lorem ipsum, and in "Melodic Musings," the authors find that dolor sit amet. These studies underscore the multifaceted nature of the relationship between names and societal dynamics, inviting us to contemplate the broader implications of our current investigation.

But let's pause for a moment and ask, "Why was the piano testing its memory? Because it had lots of notes to remember!" Ah, music to our ears, and hopefully to the readers' as well. Now, back to the serious business of research, with just a dash of whimsy to keep things interesting.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Melody and Republican votes for Senators in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1978 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 Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State"

[[ABSTRACT]]
The debate on how people's names might influence their political preferences has long been a topic of both intrigue and eyebrow-raising skepticism in academic circles. In this study, we untangle this mysterious relationship by examining the correlation between the popularity of the first name "Melody" and the voting patterns for Republican Senators in West Virginia. Drawing data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough analysis from 1978 to 2020.

Our team employed rigorous statistical methods and uncovered a striking correlation coefficient of 0.8282272 and p < 0.01. This finding suggests a robust relationship between the prevalence of the name "Melody" and the propensity to cast Republican votes amongst the denizens of the Mountain State.

Amidst the scholarly discussion and data analysis, we couldn't help but hum a few bars, pondering, "Does a melodic name ring in Republican support, or is it merely an amusing symphony of coincidence?"

This research not only sheds light on the quirkier side of political sociology but also provides a refreshing note of humor to the academically inclined. As we delve into this melody of mirth and meaning, we invite fellow researchers to embrace the harmony between data-driven inquiry and a good ol' dad joke. After all, finding the "treble" in correlation is music to our ears!

[[INTRODUCTION]]
The intersection of social phenomena and political behavior has long fascinated researchers, prompting us to delve into the 'name game' and decipher its harmonious orchestration with political inclinations. After all, when it comes to politics, one cannot afford to be off-key. With that in mind, perhaps it's time to strike a chord and unravel the melodic connection present in the socio-political fabric of West Virginia.
As the saying goes, "Why don't scientists trust atoms? Because they make up everything!" Similarly, the supposition that the popularity of one's name may sway political loyalties might appear as a farcical notion at first glance. However, our research embarks on a melodious journey through the corridors of statistical significance to pluck the strings of correlation between the name "Melody" and Republican votes for Senators in West Virginia.
A name carries its own unique resonance, much like a striking chord in a complex symphony. The implications of this correlation could be music to the ears of political strategists and sociologists alike, prompting them to ponder whether the melody of a name plays a subconscious tune on the ballot box.
Amidst the wave of data and statistical analyses, our research seeks to inject a touch of lightheartedness into the often austere domain of academic inquiry. As one might say, "Why don't we tell secrets on a farm? Because the potatoes have eyes and the corn has ears!" In this spirit, we weave together the strands of empirical evidence and good ol' dad jokes to compose a compelling narrative that harmonizes both the serious and the whimsical aspects of our findings.
So, without further ado, let us embark on a journey that promises both a statistical symphony and a few pun-filled interludes - for what is academic research if not a bit of a playful dance between the serious and the silly?

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

**[[METHODOLOGY]]**

*Data Collection and Variable Selection*

To investigate the Melody Effect, our research team embarked on a digital treasure hunt, scouring the vast expanse of the internet for data gold. Our primary sources of information included the US Social Security Administration, MIT Election Data and Science Lab, and the Harvard Dataverse. We gathered data spanning from 1978 to 2020, spanning a wide array of political landscapes and, one could say, 'name-scapes'.

Once armed with an array of data, we set out to filter the cacophony of variables to isolate the dulcet tones of our main protagonist: the name "Melody". Drawing on our scientific intuition and a pinch of whimsy, we harmoniously hummed along to the process of variable selection, ensuring that our symphony of statistics would hit all the right notes.

Pardon the interruption, but did you hear about the statistician who drowned in a lake with an average depth of 5 feet? He forgot to take into account the standard deviation!

*Statistical Analysis*

To quantify the relationship between the popularity of the name "Melody" and the voting behaviors of West Virginian citizens, we employed a series of analytical techniques that would make even Pythagoras tap his toes in excitement. First, we conducted a correlation analysis to measure the strength and direction of the relationship, hoping to strike a chord with the data that would resonate with our hypothesis.

Next, we gallivanted into the realm of regression analysis, effectively orchestrating a symphony of independent and dependent variables to unravel the melodic mysteries of political affiliation.

Our dedication to robust statistical analyses knew no bounds, much like a musician diligently practicing scales until perfection is reached. The algorithms were our instruments, and the data our sheet music, guiding us through a rhapsody of numerical scrutiny in pursuit of melodic significance.

Excuse the interruption, but why do we never tell secrets on a farm? Because the potatoes have eyes and the corn has ears! And speaking of ears, our statistical models were certainly keen on listening for the sonorous whispers of meaningful correlations between name popularity and political proclivities.

*Treatment of Potential Confounders*

As with any melodic endeavor, we encountered a few discordant notes that threatened to throw our analysis off-key. To mitigate the influence of confounding variables, we tuned our statistical methods to account for factors such as demographic shifts, socio-economic patterns, and temporal trends that might have serenaded our analysis with misleading echoes.

In the spirit of data hygiene, we made sure to keep our statistical instruments free from the cacophony of extraneous influences, allowing the melody of the name "Melody" to ring out clearly amidst the statistical symphony.

We couldn't resist sharing this one: What do you call a snake that's exactly 3.14 meters long? A π-thon!

*Sensitivity Analysis*

In acknowledgment of the intricacies of statistical modeling and the potential for variance, we conducted a sensitivity analysis to ensure the robustness of our findings. Just as a pianist might fine-tune the tension of strings on a grand piano, we meticulously assessed the impact of different analytical approaches and assumptions to serenade our results with a chorus of reliability.

As we wrap up this section, here's a parting thought: How do you organize a fantastic space party? You planet! And with that, we conclude our symphony of methodology, leaving you with a lyrical melody of statistical rigor and a tinge of joviality that brightens even the most serious of academic endeavors.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Melody and Republican votes for Senators in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 1978 to 2020, you found a correlation 0.8282272, r-squared of 0.6859602, 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 Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State"

[[ABSTRACT]]
The debate on how people's names might influence their political preferences has long been a topic of both intrigue and eyebrow-raising skepticism in academic circles. In this study, we untangle this mysterious relationship by examining the correlation between the popularity of the first name "Melody" and the voting patterns for Republican Senators in West Virginia. Drawing data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough analysis from 1978 to 2020.

Our team employed rigorous statistical methods and uncovered a striking correlation coefficient of 0.8282272 and p < 0.01. This finding suggests a robust relationship between the prevalence of the name "Melody" and the propensity to cast Republican votes amongst the denizens of the Mountain State.

Amidst the scholarly discussion and data analysis, we couldn't help but hum a few bars, pondering, "Does a melodic name ring in Republican support, or is it merely an amusing symphony of coincidence?"

This research not only sheds light on the quirkier side of political sociology but also provides a refreshing note of humor to the academically inclined. As we delve into this melody of mirth and meaning, we invite fellow researchers to embrace the harmony between data-driven inquiry and a good ol' dad joke. After all, finding the "treble" in correlation is music to our ears!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of social phenomena and political behavior has long fascinated researchers, prompting us to delve into the 'name game' and decipher its harmonious orchestration with political inclinations. After all, when it comes to politics, one cannot afford to be off-key. With that in mind, perhaps it's time to strike a chord and unravel the melodic connection present in the socio-political fabric of West Virginia.
As the saying goes, "Why don't scientists trust atoms? Because they make up everything!" Similarly, the supposition that the popularity of one's name may sway political loyalties might appear as a farcical notion at first glance. However, our research embarks on a melodious journey through the corridors of statistical significance to pluck the strings of correlation between the name "Melody" and Republican votes for Senators in West Virginia.
A name carries its own unique resonance, much like a striking chord in a complex symphony. The implications of this correlation could be music to the ears of political strategists and sociologists alike, prompting them to ponder whether the melody of a name plays a subconscious tune on the ballot box.
Amidst the wave of data and statistical analyses, our research seeks to inject a touch of lightheartedness into the often austere domain of academic inquiry. As one might say, "Why don't we tell secrets on a farm? Because the potatoes have eyes and the corn has ears!" In this spirit, we weave together the strands of empirical evidence and good ol' dad jokes to compose a compelling narrative that harmonizes both the serious and the whimsical aspects of our findings.
So, without further ado, let us embark on a journey that promises both a statistical symphony and a few pun-filled interludes - for what is academic research if not a bit of a playful dance between the serious and the silly?

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The data analysis unfurled a captivating correlation coefficient of 0.8282272 between the popularity of the first name "Melody" and Republican votes for Senators in West Virginia. With an r-squared value of 0.6859602 and p < 0.01, the evidence resonates with persuasive strength, akin to a well-tuned melody.

As we ponder the profound impact of a name, we also couldn't resist asking ourselves, "Why did the mathematician name his dog 'Cauchy'? Because he left a residue at every pole!" The parallel drawn between statistics and puns may seem a bit tangential, but it does add a certain flavor to the scholarly discourse, doesn't it?

In delving into the correlation, our findings paint a vivid picture of the resonance between the name "Melody" and Republican voting behavior, much like the resonant frequencies in a physics lab—only this time, it's the resonant frequencies of name popularity and political affiliation.

The correlation is evident in Fig. 1, where the scatterplot symmetrically showcases the undeniable connection in a visually striking manner. It's as if the data points are harmonizing in perfect unison, echoing the intriguing melody of statistical significance.

As we reflect on the significance of our discovery, we can't help but ask, "What did the social scientist say to the stubborn statistician? 'Don't be mean.'" In this case, there's no need to be mean because the correlation statistic is singing a sweet, sweet tune of statistical significance.

Our research team can't help but marvel at the melodic resonance uncovered in this study. It's almost as if the name "Melody" has orchestrated a harmonious relationship with Republican votes, conducting an election symphony in the political arena of West Virginia.

Ultimately, our findings extend beyond the realm of statistical significance and resonate with a melodic charm that transcends the boundaries of mere data analysis. It's as if the numbers themselves are singing, "I can't decide whether to sing 'Hey Jude' or 'Bohemian Rhapsody.' Let's just go with 'Bohemian Rhapsody,' because statistics are guaranteed to have a killer solo!"

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Melody and Republican votes for Senators in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"The Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State"

[[ABSTRACT]]
The debate on how people's names might influence their political preferences has long been a topic of both intrigue and eyebrow-raising skepticism in academic circles. In this study, we untangle this mysterious relationship by examining the correlation between the popularity of the first name "Melody" and the voting patterns for Republican Senators in West Virginia. Drawing data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough analysis from 1978 to 2020.

Our team employed rigorous statistical methods and uncovered a striking correlation coefficient of 0.8282272 and p < 0.01. This finding suggests a robust relationship between the prevalence of the name "Melody" and the propensity to cast Republican votes amongst the denizens of the Mountain State.

Amidst the scholarly discussion and data analysis, we couldn't help but hum a few bars, pondering, "Does a melodic name ring in Republican support, or is it merely an amusing symphony of coincidence?"

This research not only sheds light on the quirkier side of political sociology but also provides a refreshing note of humor to the academically inclined. As we delve into this melody of mirth and meaning, we invite fellow researchers to embrace the harmony between data-driven inquiry and a good ol' dad joke. After all, finding the "treble" in correlation is music to our ears!

[[LITERATURE REVIEW]]
The correlation between the popularity of first names and political affiliations has garnered attention in recent years, prompting researchers to explore the intriguing interplay between nomenclature and voting behavior. Smith and Doe (2015) delved into this phenomenon, examining the connection between popular names and party preferences in various U.S. states. Meanwhile, Jones (2018) conducted a comprehensive study on the influence of names on electoral outcomes, shedding light on the subtle yet impactful role of nomenclature in shaping political loyalties.
However, amidst this serious scholarly discussion, we can't help but interject a dad joke or two. Why did the Republican Senator sit next to the barista? Because he heard they were brewing up a strong "right" blend! Ah, the sweet aroma of political humor.
In "The Name Game" by Laura Wattenberg and "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the authors explore the intricate relationship between names and social phenomena, providing valuable insights into how names might influence various aspects of life. Additionally, works of fiction such as "The Name of the Wind" by Patrick Rothfuss and "Song of Solomon" by Toni Morrison prompt us to ponder the symbolic significance of names in shaping personal and collective identities.
Of course, no academic exploration is complete without a detour into the world of pop culture. So, in the spirit of thorough research, the authors may or may not have binge-watched episodes of "Name That Tune" and "The Voice" in the pursuit of understanding the melodious tapestry of names and their potential impact on political ideologies. Hey, all in the name of scientific inquiry, right?
In "Name Drop," the authors find that lorem ipsum, and in "Melodic Musings," the authors find that dolor sit amet. These studies underscore the multifaceted nature of the relationship between names and societal dynamics, inviting us to contemplate the broader implications of our current investigation.
But let's pause for a moment and ask, "Why was the piano testing its memory? Because it had lots of notes to remember!" Ah, music to our ears, and hopefully to the readers' as well. Now, back to the serious business of research, with just a dash of whimsy to keep things interesting.

[[RESULTS]]
The data analysis unfurled a captivating correlation coefficient of 0.8282272 between the popularity of the first name "Melody" and Republican votes for Senators in West Virginia. With an r-squared value of 0.6859602 and p < 0.01, the evidence resonates with persuasive strength, akin to a well-tuned melody.
As we ponder the profound impact of a name, we also couldn't resist asking ourselves, "Why did the mathematician name his dog 'Cauchy'? Because he left a residue at every pole!" The parallel drawn between statistics and puns may seem a bit tangential, but it does add a certain flavor to the scholarly discourse, doesn't it?
In delving into the correlation, our findings paint a vivid picture of the resonance between the name "Melody" and Republican voting behavior, much like the resonant frequencies in a physics lab—only this time, it's the resonant frequencies of name popularity and political affiliation.
The correlation is evident in Fig. 1, where the scatterplot symmetrically showcases the undeniable connection in a visually striking manner. It's as if the data points are harmonizing in perfect unison, echoing the intriguing melody of statistical significance.
As we reflect on the significance of our discovery, we can't help but ask, "What did the social scientist say to the stubborn statistician? 'Don't be mean.'" In this case, there's no need to be mean because the correlation statistic is singing a sweet, sweet tune of statistical significance.
Our research team can't help but marvel at the melodic resonance uncovered in this study. It's almost as if the name "Melody" has orchestrated a harmonious relationship with Republican votes, conducting an election symphony in the political arena of West Virginia.
Ultimately, our findings extend beyond the realm of statistical significance and resonate with a melodic charm that transcends the boundaries of mere data analysis. It's as if the numbers themselves are singing, "I can't decide whether to sing 'Hey Jude' or 'Bohemian Rhapsody.' Let's just go with 'Bohemian Rhapsody,' because statistics are guaranteed to have a killer solo!"

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The robust correlation uncovered between the prevalence of the name "Melody" and the propensity to cast Republican votes for Senators in West Virginia eloquently tunes in to the broader body of research exploring the melodies of nomenclature and political affiliations. As we unpack this intriguing connection, we can't help but marvel at how names, like melodies, have the power to strike a chord with individuals' political leanings.

Harkening back to the literature review, the findings of our study uphold the curious yet compelling work of Smith and Doe (2015) and Jones (2018), who paved the way for exploring the melodic nuances of name popularity and political preferences. This correlation dances to the beat of their previous research, affirming that a name may indeed carry a melodious sway over the political landscape. It's as if the data is harmonizing with the previous scholarly discourse in a symphony of statistical support.

The statistical significance uncovered in our analysis doesn't miss a beat, aligning with the spirited investigation into the influence of names on electoral outcomes. With an r-squared value of 0.6859602 and a p-value of less than 0.01, our findings seem to sing, "Hey, this correlation is no fluke!" It's as striking as a well-timed crescendo in a symphony, capturing the essence of statistical resonance without missing a beat.

Furthermore, the scatterplot visually illustrates the melodious resonance between the name "Melody" and Republican votes, painting a picture akin to a musical masterpiece. The data points seem to perform a well-choreographed ballet, swirling and swaying in perfect harmony, much like a symphony of statistical significance.

Turning to the unconventional yet delightful inclusion of dad jokes, we're pleased to report that our study has hit all the right notes—pun intended. The jests, like a well-timed drumroll in a comedic orchestra, compose a whimsical interlude in the pursuit of serious scholarly inquiry. These lighthearted puns may appear as mere flourishes, but much like a well-executed trill, they add a touch of comedic charm to the resounding discourse, keeping the readers engaged and intrigued.

In essence, our findings compose a melodic saga of statistical significance, wherein the resonance of the name "Melody" with Republican votes strikes a chord of curiosity and mirth. As we navigate the captivating symphony of data analysis and statistical inference, we encourage fellow researchers to savor the rhythmic harmony between academic inquiry and a well-placed dad joke. After all, in the melodious realm of research, finding the humor is music to our ears.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Melody and Republican votes for Senators in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"The Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State"

[[ABSTRACT]]
The debate on how people's names might influence their political preferences has long been a topic of both intrigue and eyebrow-raising skepticism in academic circles. In this study, we untangle this mysterious relationship by examining the correlation between the popularity of the first name "Melody" and the voting patterns for Republican Senators in West Virginia. Drawing data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough analysis from 1978 to 2020.

Our team employed rigorous statistical methods and uncovered a striking correlation coefficient of 0.8282272 and p < 0.01. This finding suggests a robust relationship between the prevalence of the name "Melody" and the propensity to cast Republican votes amongst the denizens of the Mountain State.

Amidst the scholarly discussion and data analysis, we couldn't help but hum a few bars, pondering, "Does a melodic name ring in Republican support, or is it merely an amusing symphony of coincidence?"

This research not only sheds light on the quirkier side of political sociology but also provides a refreshing note of humor to the academically inclined. As we delve into this melody of mirth and meaning, we invite fellow researchers to embrace the harmony between data-driven inquiry and a good ol' dad joke. After all, finding the "treble" in correlation is music to our ears!

[[INTRDUCTION]]
The intersection of social phenomena and political behavior has long fascinated researchers, prompting us to delve into the 'name game' and decipher its harmonious orchestration with political inclinations. After all, when it comes to politics, one cannot afford to be off-key. With that in mind, perhaps it's time to strike a chord and unravel the melodic connection present in the socio-political fabric of West Virginia.
As the saying goes, "Why don't scientists trust atoms? Because they make up everything!" Similarly, the supposition that the popularity of one's name may sway political loyalties might appear as a farcical notion at first glance. However, our research embarks on a melodious journey through the corridors of statistical significance to pluck the strings of correlation between the name "Melody" and Republican votes for Senators in West Virginia.
A name carries its own unique resonance, much like a striking chord in a complex symphony. The implications of this correlation could be music to the ears of political strategists and sociologists alike, prompting them to ponder whether the melody of a name plays a subconscious tune on the ballot box.
Amidst the wave of data and statistical analyses, our research seeks to inject a touch of lightheartedness into the often austere domain of academic inquiry. As one might say, "Why don't we tell secrets on a farm? Because the potatoes have eyes and the corn has ears!" In this spirit, we weave together the strands of empirical evidence and good ol' dad jokes to compose a compelling narrative that harmonizes both the serious and the whimsical aspects of our findings.
So, without further ado, let us embark on a journey that promises both a statistical symphony and a few pun-filled interludes - for what is academic research if not a bit of a playful dance between the serious and the silly?

[[RESULTS]]
The data analysis unfurled a captivating correlation coefficient of 0.8282272 between the popularity of the first name "Melody" and Republican votes for Senators in West Virginia. With an r-squared value of 0.6859602 and p < 0.01, the evidence resonates with persuasive strength, akin to a well-tuned melody.
As we ponder the profound impact of a name, we also couldn't resist asking ourselves, "Why did the mathematician name his dog 'Cauchy'? Because he left a residue at every pole!" The parallel drawn between statistics and puns may seem a bit tangential, but it does add a certain flavor to the scholarly discourse, doesn't it?
In delving into the correlation, our findings paint a vivid picture of the resonance between the name "Melody" and Republican voting behavior, much like the resonant frequencies in a physics lab—only this time, it's the resonant frequencies of name popularity and political affiliation.
The correlation is evident in Fig. 1, where the scatterplot symmetrically showcases the undeniable connection in a visually striking manner. It's as if the data points are harmonizing in perfect unison, echoing the intriguing melody of statistical significance.
As we reflect on the significance of our discovery, we can't help but ask, "What did the social scientist say to the stubborn statistician? 'Don't be mean.'" In this case, there's no need to be mean because the correlation statistic is singing a sweet, sweet tune of statistical significance.
Our research team can't help but marvel at the melodic resonance uncovered in this study. It's almost as if the name "Melody" has orchestrated a harmonious relationship with Republican votes, conducting an election symphony in the political arena of West Virginia.
Ultimately, our findings extend beyond the realm of statistical significance and resonate with a melodic charm that transcends the boundaries of mere data analysis. It's as if the numbers themselves are singing, "I can't decide whether to sing 'Hey Jude' or 'Bohemian Rhapsody.' Let's just go with 'Bohemian Rhapsody,' because statistics are guaranteed to have a killer solo!"

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has struck a harmonious chord in unraveling the intriguing connection between the popularity of the name "Melody" and Republican votes for Senators in West Virginia. The robust correlation coefficient of 0.8282272 and p < 0.01 echoes through the hallowed halls of empirical inquiry like a catchy earworm—you just can't shake it off!

This finding not only adds an amusing twist to the political landscape but also showcases that sometimes, statistical research can surprise you more than a dad joke at a serious science conference. After all, who knew that a name could carry such political weight? It's almost as if we've uncovered the elusive 'sonata of sociology'!

At this point, we're as convinced of the "Melody Effect" as we are of the fact that a good pun and a solid correlation coefficient can both brighten one's day. It's like the statistical equivalent of a well-timed knock-knock joke!

In light of these revelatory findings, we assert that no further research is needed in this area. After all, there's no need to keep flogging a dead horse—though we must admit, a statistical analysis of horse flogging could be quite the unexpected twist for our next study!

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 Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Sociopolitical Psychology and Name Studies

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 Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Appalachian Name 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 Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State with an abstract of The debate on how people's names might influence their political preferences has long been a topic of both intrigue and eyebrow-raising skepticism in academic circles. In this study, we untangle this mysterious relationship by examining the correlation between the popularity of the first name "Melody" and the voting patterns for Republican Senators in West Virginia. Drawing data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we conducted a thorough analysis from 1978 to 2020.
Our team employed rigorous statistical methods and uncovered a striking correlation coefficient of 0.8282272 and p < 0.01. This finding suggests a robust relationship between the prevalence of the name "Melody" and the propensity to cast Republican votes amongst the denizens of the Mountain State.
Amidst the scholarly discussion and data analysis, we couldn't help but hum a few bars, pondering, "Does a melodic name ring in Republican support, or is it merely an amusing symphony of coincidence?"
This research not only sheds light on the quirkier side of political sociology but also provides a refreshing note of humor to the academically inclined. As we delve into this melody of mirth and meaning, we invite fellow researchers to embrace the harmony between data-driven inquiry and a good ol' dad joke. After all, finding the "treble" in correlation is music to our ears!

ChatGPT:

name popularity, political affiliation, Republican Senators, West Virginia, correlation, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse, statistical analysis, correlation coefficient, political sociology, data-driven inquiry

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

Votes for Republican Senators in West Virginia
Detailed data title: Percentage of votes cast for Federal Republican Senate candidates in West Virginia
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Republican Senators in West Virginia

Correlation r = 0.8282272 (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 = 0.6859602 (Coefficient of determination)
This means 68.6% of the change in the one variable (i.e., Votes for Republican Senators in West Virginia) is predictable based on the change in the other (i.e., Popularity of the first name Melody) over the 16 years from 1978 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 7.4E-5.^Show 0.0000741549573124656900000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.83 in 0.0074% of random cases. Said differently, if you correlated 13,485 random variables^Note Which I absolutely did.
with the same 15 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 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.

[ 0.56, 0.94 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	1978	1982	1984	1988	1990	1994	1996	2000	2002	2006	2008	2010	2012	2014	2018	2020
Popularity of the first name Melody (Babies born)	1336	1120	1096	883	865	730	664	720	1045	1107	1219	1575	1788	2064	2159	2517
Votes for Republican Senators in West Virginia (Percentage of votes)	49.5219	30.7634	47.7256	35.2321	31.6768	30.9883	23.352	20.1557	36.8886	22.951	36.256	43.4029	36.4717	62.1174	46.2973	70.2839

Why this works

Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([1336,1120,1096,883,865,730,664,720,1045,1107,1219,1575,1788,2064,2159,2517,])
array_2 = np.array([49.5219,30.7634,47.7256,35.2321,31.6768,30.9883,23.352,20.1557,36.8886,22.951,36.256,43.4029,36.4717,62.1174,46.2973,70.2839,])
array_1_name = "Popularity of the first name Melody"
array_2_name = "Votes for Republican Senators in West Virginia"

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

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

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

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

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

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

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Popularity of the first name Melody
Line chart for only Votes for Republican Senators in West Virginia
AI-generated correlation image
The spurious research paper: The Melody Effect: A Correlation Between Name Popularity and Political Affiliation in the Mountain State

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Correlation ID: 5667 · Black Variable ID: 2729 · Red Variable ID: 26482


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