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Spurious correlation #4,587 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for the Libertarian Presidential candidate in Mississippi and the second variable is Google searches for 'please clap'.  The chart goes from 2004 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the votes for the Libertarian candidate in Mississippi increased, more and more people were drawn to the idea of absolute freedom of speech and action. This led to a surge in unscripted and uncoordinated applause at political events. As the phenomenon gained attention, people turned to the internet to understand this new social cue, leading to a rise in searches for 'please clap'. It's as if the invisible hand of the market was busy giving a round of applause to the concept of individual liberty!

Model: dalle-3
Prompt: The image prompt features a bustling Mississippi town square scene. The setting is a vibrant town square, filled with people of diverse backgrounds and attire. In the center, a large screen displays election results, with a graph that exudes tension as the Votes for the Libertarian Presidential candidate steadily rise. The crowd surrounding the screen shows a mix of expressions - awe, surprise, and enthusiasm. A cluster of individuals stands out, with their hands coming together in a spontaneous round of applause, creating a palpable rhythm within the crowd. Nearby, a group intently huddles around a smartphone, with curious expressions as they search 'please clap' on Google. The air is filled with the sound of applause, capturing the ignition of the concept of individual liberty in both physical and digital realms. The depiction uses a cutesy art style, accentuating the charm and whimsy of the scene. The character designs are diverse, incorporating varied clothing styles and expressions to encapsulate the atmosphere of the bustling town square. The use of soft, pastel colors and lively detailing enhances the overall warmth and liveliness of the moment, creating a visually captivating and engaging image. 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: Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap'. 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: Cybernetic art Cybernetic art Cutsy graphics Cutsy art illustration 3D Pixar Style
ChatGPT: Cutsy art illustration

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 Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap', in the following situation: As the votes for the Libertarian candidate in Mississippi increased, more and more people were drawn to the idea of absolute freedom of speech and action. This led to a surge in unscripted and uncoordinated applause at political events. As the phenomenon gained attention, people turned to the internet to understand this new social cue, leading to a rise in searches for 'please clap'. It's as if the invisible hand of the market was busy giving a round of applause to the concept of individual liberty!. Keep the description simple.
ChatGPT: In a bustling Mississippi town square, a crowd gathers around a large screen showing election results. As the Votes for the Libertarian Presidential candidate in Mississippi steadily rise, individuals in the crowd begin to spontaneously applaud, their hands clapping in unison. At the same time, nearby a group of people huddled around a smartphone can be seen searching 'please clap' on Google, eager to understand the significance of this newfound social cue. The air is filled with the sound of applause as the concept of individual liberty ignites both in the physical and digital realms.

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: [ Cutsy art illustration ] and depicting this scene: In a bustling Mississippi town square, a crowd gathers around a large screen showing election results. As the Votes for the Libertarian Presidential candidate in Mississippi steadily rise, individuals in the crowd begin to spontaneously applaud, their hands clapping in unison. At the same time, nearby a group of people huddled around a smartphone can be seen searching 'please clap' on Google, eager to understand the significance of this newfound social cue. The air is filled with the sound of applause as the concept of individual liberty ignites both in the physical and digital realms. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: The image prompt features a bustling Mississippi town square scene. The setting is a vibrant town square, filled with people of diverse backgrounds and attire. In the center, a large screen displays election results, with a graph that exudes tension as the Votes for the Libertarian Presidential candidate steadily rise. The crowd surrounding the screen shows a mix of expressions - awe, surprise, and enthusiasm. A cluster of individuals stands out, with their hands coming together in a spontaneous round of applause, creating a palpable rhythm within the crowd. Nearby, a group intently huddles around a smartphone, with curious expressions as they search 'please clap' on Google. The air is filled with the sound of applause, capturing the ignition of the concept of individual liberty in both physical and digital realms. The depiction uses a cutesy art style, accentuating the charm and whimsy of the scene. The character designs are diverse, incorporating varied clothing styles and expressions to encapsulate the atmosphere of the bustling town square. The use of soft, pastel colors and lively detailing enhances the overall warmth and liveliness of the moment, creating a visually captivating and engaging image.

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

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

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Votes for the Libertarian Presidential candidate in Mississippi caused please clap (Google searches for 'please clap') to increase. Make it feel plausible.

AI academic paper

(Because p < 0.05)
Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map

The Journal of Quirky Political Analyses

Jan 2024

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




Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Rhyme words in the title.

Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Google Trends to assess this nagging question. You found a correlation coefficient of 0.8891927 and p < 0.05 for 2004 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]]
Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map

[[ABSTRACT]]
In this study, we delve into the unexpected correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." While the connection may seem as improbable as a unicorn sighting in a grocery store, our research team's analysis reveals a statistically significant relationship that cannot be dismissed with a wave of the hand.

Drawing on data from MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, we examined the voting patterns and online search behaviors spanning from 2004 to 2020. To our surprise (and perhaps yours as well), we uncovered a correlation coefficient of 0.8891927 and a p-value less than 0.05, suggesting a strong association between these seemingly disparate phenomena. It's as if the data were winking at us, nudging us to uncover the enigmatic link between political preferences and a lighthearted Jeb Bush moment.

As we unravel this quirky connection between electoral support for libertarian candidates and a meme-worthy search query, our findings emphasize the importance of scrutinizing intertwined societal trends, even if they initially appear as unlikely companions as a cat and a skateboard. We hope our study sparks a good chuckle along with added insight into the whimsical intersections of human behavior and political participation. After all, when it comes to data analysis, a little humor never hurt anyone—it might even be the key to unlocking significant findings, much like a dad joke that unexpectedly becomes the life of the party.


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 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 Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap'. 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.

Here is the title and abstract of the paper:
[[TITLE]]
Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map

[[ABSTRACT]]
In this study, we delve into the unexpected correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." While the connection may seem as improbable as a unicorn sighting in a grocery store, our research team's analysis reveals a statistically significant relationship that cannot be dismissed with a wave of the hand.

Drawing on data from MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, we examined the voting patterns and online search behaviors spanning from 2004 to 2020. To our surprise (and perhaps yours as well), we uncovered a correlation coefficient of 0.8891927 and a p-value less than 0.05, suggesting a strong association between these seemingly disparate phenomena. It's as if the data were winking at us, nudging us to uncover the enigmatic link between political preferences and a lighthearted Jeb Bush moment.

As we unravel this quirky connection between electoral support for libertarian candidates and a meme-worthy search query, our findings emphasize the importance of scrutinizing intertwined societal trends, even if they initially appear as unlikely companions as a cat and a skateboard. We hope our study sparks a good chuckle along with added insight into the whimsical intersections of human behavior and political participation. After all, when it comes to data analysis, a little humor never hurt anyone—it might even be the key to unlocking significant findings, much like a dad joke that unexpectedly becomes the life of the party.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The realm of political research often involves delving into complex statistical analyses, uncovering subtle correlations, and, occasionally, stumbling upon unexpected connections that verge on the surreal. Our study delves into precisely such unexpected territory, where the fervor of political choice meets the whimsical world of internet memes. As we embark on this statistical journey, we will navigate through the labyrinth of data, seeking to unravel the enigmatic relationship between votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap."

It's remarkable how seemingly unrelated variables can converge to form a statistically significant relationship, reminiscent of how a dad joke can unexpectedly bring levity to the most serious of discussions. In the spirit of lighthearted inquiry, we tread into the realm of correlation and causation, aiming to shed light on the seemingly inexplicable link between political preference and a lighthearted Jeb Bush moment.

Speaking of Jeb Bush, did you hear about the statistical model that ran for president? It had a great margin of error, but it just couldn't win over the voters—it was too much of an outlier.

As we embark on this exploration, we acknowledge the initial incredulity that this correlation may provoke. It's as though we stumbled upon a unicorn sipping coffee in a statistical analysis—an improbable yet fascinating find that compels us to delve deeper into the underlying mechanisms at play.

Our inquiry takes root in data sourced from esteemed repositories such as the MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, impressing upon us the importance of drawing from diverse sources, much like a versatile chef skillfully combining unexpected ingredients to create a delectable dish.

It's important to note that our study isn't about measuring political debates' applause breaks via Google search data, although that might be an interesting avenue for future research.

In our pursuit of these peculiar associations, we are motivated by a spirit of curiosity and a deep appreciation for the quirky complexities that manifest in human behavior. After all, in the realm of statistics and social phenomena, the line between the expected and the absurd can blur as swiftly as a dad making a pun at a family gathering.


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 Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap'. 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]]
Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map

[[ABSTRACT]]
In this study, we delve into the unexpected correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." While the connection may seem as improbable as a unicorn sighting in a grocery store, our research team's analysis reveals a statistically significant relationship that cannot be dismissed with a wave of the hand.

Drawing on data from MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, we examined the voting patterns and online search behaviors spanning from 2004 to 2020. To our surprise (and perhaps yours as well), we uncovered a correlation coefficient of 0.8891927 and a p-value less than 0.05, suggesting a strong association between these seemingly disparate phenomena. It's as if the data were winking at us, nudging us to uncover the enigmatic link between political preferences and a lighthearted Jeb Bush moment.

As we unravel this quirky connection between electoral support for libertarian candidates and a meme-worthy search query, our findings emphasize the importance of scrutinizing intertwined societal trends, even if they initially appear as unlikely companions as a cat and a skateboard. We hope our study sparks a good chuckle along with added insight into the whimsical intersections of human behavior and political participation. After all, when it comes to data analysis, a little humor never hurt anyone—it might even be the key to unlocking significant findings, much like a dad joke that unexpectedly becomes the life of the party.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The realm of political research often involves delving into complex statistical analyses, uncovering subtle correlations, and, occasionally, stumbling upon unexpected connections that verge on the surreal. Our study delves into precisely such unexpected territory, where the fervor of political choice meets the whimsical world of internet memes. As we embark on this statistical journey, we will navigate through the labyrinth of data, seeking to unravel the enigmatic relationship between votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap."
It's remarkable how seemingly unrelated variables can converge to form a statistically significant relationship, reminiscent of how a dad joke can unexpectedly bring levity to the most serious of discussions. In the spirit of lighthearted inquiry, we tread into the realm of correlation and causation, aiming to shed light on the seemingly inexplicable link between political preference and a lighthearted Jeb Bush moment.
Speaking of Jeb Bush, did you hear about the statistical model that ran for president? It had a great margin of error, but it just couldn't win over the voters—it was too much of an outlier.
As we embark on this exploration, we acknowledge the initial incredulity that this correlation may provoke. It's as though we stumbled upon a unicorn sipping coffee in a statistical analysis—an improbable yet fascinating find that compels us to delve deeper into the underlying mechanisms at play.
Our inquiry takes root in data sourced from esteemed repositories such as the MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, impressing upon us the importance of drawing from diverse sources, much like a versatile chef skillfully combining unexpected ingredients to create a delectable dish.
It's important to note that our study isn't about measuring political debates' applause breaks via Google search data, although that might be an interesting avenue for future research.
In our pursuit of these peculiar associations, we are motivated by a spirit of curiosity and a deep appreciation for the quirky complexities that manifest in human behavior. After all, in the realm of statistics and social phenomena, the line between the expected and the absurd can blur as swiftly as a dad making a pun at a family gathering.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The first clues to our peculiar research quest were unearthed in the study by Smith and Jones (2015), which examined unusual online search behaviors in correlation with political events. While their focus was primarily on more conventional search queries related to campaign promises and policy issues, their work inadvertently laid the groundwork for exploring the uncharted territory of offbeat Google searches and their intersection with political phenomena. It's as if they unwittingly set the stage for a comedy show about serious statistical analysis – stats on the rocks, anyone?

Doe et al. (2018) further expanded the landscape of unconventional data analysis by delving into the realm of voter behavior and idiosyncratic online searches. Their comprehensive study painted a picture of the American electorate's diverse preferences and information-seeking habits, unwittingly creating a canvas for the eccentric patterns we would later uncover. It's like they were opening a door to a room full of statistical surprises, each more unexpected than the last – a statistical thriller, if you will.

Turning to nonfiction literature, "Data Science for Dummies" and "Statistics Made Simple" provide a serious foundation for exploring data relationships with precision. But when it comes to our topic, "The Unlikely Encyclopedia of Statistical Oddities" and "Serendipitous Statistics: How the Improbable Unravels the Unexplained" offer a whimsical take on uncovering unexpected correlations, much like finding a diamond ring in a trout's stomach.

In the realm of fiction, "The Correlation Conundrum" and "Statistical Shenanigans: The Secrets of Spurious Relationships" might seem like titles fitting to our quirky quest, but it's "The Curious Case of the Statistical Sleuth" and "A Tale of Two Data Sets" that resonate with the unexpected twists and turns we've encountered in our investigation. They make the statistical mysteries seem like Agatha Christie novels with a nerdy twist.

Further insights into the world of online memes and political capers were gleaned from popular television shows like "The Daily Show" and "Last Week Tonight with John Oliver." While not academic sources, these programs provided valuable context for the intersection of humor, public discourse, and political engagement. It's as if they were unwittingly preparing us for the delight of uncovering a correlation stranger than fiction – perhaps a statistical sitcom in the making.

As we traverse the curious landscape of electoral eccentricities and internet oddities, we find ourselves pausing to appreciate the sheer whimsy of this juncture between politics and meme culture. It's akin to stumbling upon a pun-loving parrot in a parliament, an unexpected and delightful occurrence that urges us to proceed with a sense of wonder and lightheartedness. Who knew statistics could be this much fun?


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 Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap'. 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 MIT Election Data and Science Lab, Harvard Dataverse and Google Trends . You used data from 2004 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]]
Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map

[[ABSTRACT]]
In this study, we delve into the unexpected correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." While the connection may seem as improbable as a unicorn sighting in a grocery store, our research team's analysis reveals a statistically significant relationship that cannot be dismissed with a wave of the hand.

Drawing on data from MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, we examined the voting patterns and online search behaviors spanning from 2004 to 2020. To our surprise (and perhaps yours as well), we uncovered a correlation coefficient of 0.8891927 and a p-value less than 0.05, suggesting a strong association between these seemingly disparate phenomena. It's as if the data were winking at us, nudging us to uncover the enigmatic link between political preferences and a lighthearted Jeb Bush moment.

As we unravel this quirky connection between electoral support for libertarian candidates and a meme-worthy search query, our findings emphasize the importance of scrutinizing intertwined societal trends, even if they initially appear as unlikely companions as a cat and a skateboard. We hope our study sparks a good chuckle along with added insight into the whimsical intersections of human behavior and political participation. After all, when it comes to data analysis, a little humor never hurt anyone—it might even be the key to unlocking significant findings, much like a dad joke that unexpectedly becomes the life of the party.

[[INTRODUCTION]]
The realm of political research often involves delving into complex statistical analyses, uncovering subtle correlations, and, occasionally, stumbling upon unexpected connections that verge on the surreal. Our study delves into precisely such unexpected territory, where the fervor of political choice meets the whimsical world of internet memes. As we embark on this statistical journey, we will navigate through the labyrinth of data, seeking to unravel the enigmatic relationship between votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap."
It's remarkable how seemingly unrelated variables can converge to form a statistically significant relationship, reminiscent of how a dad joke can unexpectedly bring levity to the most serious of discussions. In the spirit of lighthearted inquiry, we tread into the realm of correlation and causation, aiming to shed light on the seemingly inexplicable link between political preference and a lighthearted Jeb Bush moment.
Speaking of Jeb Bush, did you hear about the statistical model that ran for president? It had a great margin of error, but it just couldn't win over the voters—it was too much of an outlier.
As we embark on this exploration, we acknowledge the initial incredulity that this correlation may provoke. It's as though we stumbled upon a unicorn sipping coffee in a statistical analysis—an improbable yet fascinating find that compels us to delve deeper into the underlying mechanisms at play.
Our inquiry takes root in data sourced from esteemed repositories such as the MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, impressing upon us the importance of drawing from diverse sources, much like a versatile chef skillfully combining unexpected ingredients to create a delectable dish.
It's important to note that our study isn't about measuring political debates' applause breaks via Google search data, although that might be an interesting avenue for future research.
In our pursuit of these peculiar associations, we are motivated by a spirit of curiosity and a deep appreciation for the quirky complexities that manifest in human behavior. After all, in the realm of statistics and social phenomena, the line between the expected and the absurd can blur as swiftly as a dad making a pun at a family gathering.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To untangle the interwoven strands of political support and internet search behavior, we employed a mix of traditional statistical techniques and unexpected exploratory analyses. Like a sous chef delving into a cupboard of eclectic spices, we combined methodologies to paint a nuanced picture of the relationship between votes for the Libertarian presidential candidate in Mississippi and the frequency of Google searches for "please clap."

Our research team commenced the journey by harmonizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends. This multi-sourced approach mirrored the idea of cross-pollinating diverse flower species in a whimsical garden, allowing for a more comprehensive understanding of the enigmatic correlation at hand. It's akin to blending flavors in a culinary experiment - you never know what unexpected delight might emerge.

Next, we embarked on a rigorous data-cleaning process, akin to meticulously sifting through a jumble of mixed-up punchlines to decipher the crux of a dad joke. We scrubbed the datasets, ensuring that electoral results and search volumes were free from anomalies and outliers, just like a diligent supermarket shopper meticulously inspecting each fruit for quality.

With our data polished to a high shine, we harnessed the power of multiple regression models to discern any underlying patterns that might illuminate the curious bond between political preference and the meme-worthy search phrase. These models were our interpretive dance partners in a statistical ballet, twirling across the data landscape to reveal the intricate steps of the relationship between these two seemingly unrelated variables.

Additionally, we couldn't resist the temptation to dabble in time-series analysis, akin to a sleuth uncovering the hidden punchline in a long-winded joke. This approach allowed us to consider the temporal dynamics of the relationship, encapsulating the ebb and flow of libertarian votes and Google searches for "please clap" across the election years. It's as though we sought to capture the rhythm of a well-timed jest in the fabric of political and internet phenomena.

Finally, we complemented our quantitative analyses with qualitative insights gleaned from online forums and social media platforms. We delved into the digital sphere, traversing the virtual landscape like intrepid explorers in search of anecdotal evidence and humorous anecdotes that might shed light on the fusion of political engagement and lighthearted internet culture. Think of it as embarking on a quest for the finest dad jokes in a sea of internet humor – an endeavor that combines scholarly rigor with a hint of playful mischief.

In the end, our methodology was a vibrant medley of statistical acumen, exploratory fervor, and a sprinkle of whimsy, encapsulating the peculiar marriage of political participation and a meme that continues to prompt wry smiles across the digital realm. Just like a masterful joke, our research endeavor aimed to provoke thought, elicit laughter, and, perhaps, leave a lingering sense of wonder at the ultimate unpredictability of human behavior.


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 Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap'. 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 MIT Election Data and Science Lab, Harvard Dataverse and Google Trends .

For the time period 2004 to 2020, you found a correlation 0.8891927, r-squared of 0.7906637, and p < 0.05.

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]]
Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map

[[ABSTRACT]]
In this study, we delve into the unexpected correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." While the connection may seem as improbable as a unicorn sighting in a grocery store, our research team's analysis reveals a statistically significant relationship that cannot be dismissed with a wave of the hand.

Drawing on data from MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, we examined the voting patterns and online search behaviors spanning from 2004 to 2020. To our surprise (and perhaps yours as well), we uncovered a correlation coefficient of 0.8891927 and a p-value less than 0.05, suggesting a strong association between these seemingly disparate phenomena. It's as if the data were winking at us, nudging us to uncover the enigmatic link between political preferences and a lighthearted Jeb Bush moment.

As we unravel this quirky connection between electoral support for libertarian candidates and a meme-worthy search query, our findings emphasize the importance of scrutinizing intertwined societal trends, even if they initially appear as unlikely companions as a cat and a skateboard. We hope our study sparks a good chuckle along with added insight into the whimsical intersections of human behavior and political participation. After all, when it comes to data analysis, a little humor never hurt anyone—it might even be the key to unlocking significant findings, much like a dad joke that unexpectedly becomes the life of the party.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The realm of political research often involves delving into complex statistical analyses, uncovering subtle correlations, and, occasionally, stumbling upon unexpected connections that verge on the surreal. Our study delves into precisely such unexpected territory, where the fervor of political choice meets the whimsical world of internet memes. As we embark on this statistical journey, we will navigate through the labyrinth of data, seeking to unravel the enigmatic relationship between votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap."
It's remarkable how seemingly unrelated variables can converge to form a statistically significant relationship, reminiscent of how a dad joke can unexpectedly bring levity to the most serious of discussions. In the spirit of lighthearted inquiry, we tread into the realm of correlation and causation, aiming to shed light on the seemingly inexplicable link between political preference and a lighthearted Jeb Bush moment.
Speaking of Jeb Bush, did you hear about the statistical model that ran for president? It had a great margin of error, but it just couldn't win over the voters—it was too much of an outlier.
As we embark on this exploration, we acknowledge the initial incredulity that this correlation may provoke. It's as though we stumbled upon a unicorn sipping coffee in a statistical analysis—an improbable yet fascinating find that compels us to delve deeper into the underlying mechanisms at play.
Our inquiry takes root in data sourced from esteemed repositories such as the MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, impressing upon us the importance of drawing from diverse sources, much like a versatile chef skillfully combining unexpected ingredients to create a delectable dish.
It's important to note that our study isn't about measuring political debates' applause breaks via Google search data, although that might be an interesting avenue for future research.
In our pursuit of these peculiar associations, we are motivated by a spirit of curiosity and a deep appreciation for the quirky complexities that manifest in human behavior. After all, in the realm of statistics and social phenomena, the line between the expected and the absurd can blur as swiftly as a dad making a pun at a family gathering.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of our data revealed a striking correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." Despite the initial incredulity this pairing may evoke, the statistical relationship we uncovered boasts a correlation coefficient of 0.8891927, an r-squared of 0.7906637, and a p-value of less than 0.05. It's as if these variables were in cahoots, conspiring to confound conventional wisdom and tickle the funny bone of statistical analysis.

Fig. 1 shows the scatterplot, exhibiting the robust association between the two variables. It's a sight to behold—a statistical dance where political preferences and a Jeb Bush moment harmonize as smoothly as a dad joke at a backyard barbecue.

The strength of this correlation is akin to the bond between two peas in a pod, or better yet, the seamless harmony of a perfect punchline. Our findings not only underscore the unexpected synergies that can emerge in the world of data analysis but also emphasize the need to approach statistical exploration with a sense of both rigor and lighthearted curiosity.

These results indicate that the relationship between votes for the Libertarian presidential candidate in Mississippi and Google searches for "please clap" is not to be dismissed as mere coincidence, much like a dad joke that lands with unexpected precision. Rather, our findings invite further reflection on the whimsical interplay of internet culture and political engagement, offering a lighthearted lens through which to view the complexities of human behavior and societal trends.

In essence, our research serves as a gentle reminder that even in the domain of statistical inquiry, the unexpected can yield valuable insights, much like stumbling upon a well-timed pun in the midst of a serious discussion.


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 Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap'. 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]]
Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map

[[ABSTRACT]]
In this study, we delve into the unexpected correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." While the connection may seem as improbable as a unicorn sighting in a grocery store, our research team's analysis reveals a statistically significant relationship that cannot be dismissed with a wave of the hand.

Drawing on data from MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, we examined the voting patterns and online search behaviors spanning from 2004 to 2020. To our surprise (and perhaps yours as well), we uncovered a correlation coefficient of 0.8891927 and a p-value less than 0.05, suggesting a strong association between these seemingly disparate phenomena. It's as if the data were winking at us, nudging us to uncover the enigmatic link between political preferences and a lighthearted Jeb Bush moment.

As we unravel this quirky connection between electoral support for libertarian candidates and a meme-worthy search query, our findings emphasize the importance of scrutinizing intertwined societal trends, even if they initially appear as unlikely companions as a cat and a skateboard. We hope our study sparks a good chuckle along with added insight into the whimsical intersections of human behavior and political participation. After all, when it comes to data analysis, a little humor never hurt anyone—it might even be the key to unlocking significant findings, much like a dad joke that unexpectedly becomes the life of the party.

[[LITERATURE REVIEW]]
The first clues to our peculiar research quest were unearthed in the study by Smith and Jones (2015), which examined unusual online search behaviors in correlation with political events. While their focus was primarily on more conventional search queries related to campaign promises and policy issues, their work inadvertently laid the groundwork for exploring the uncharted territory of offbeat Google searches and their intersection with political phenomena. It's as if they unwittingly set the stage for a comedy show about serious statistical analysis – stats on the rocks, anyone?
Doe et al. (2018) further expanded the landscape of unconventional data analysis by delving into the realm of voter behavior and idiosyncratic online searches. Their comprehensive study painted a picture of the American electorate's diverse preferences and information-seeking habits, unwittingly creating a canvas for the eccentric patterns we would later uncover. It's like they were opening a door to a room full of statistical surprises, each more unexpected than the last – a statistical thriller, if you will.
Turning to nonfiction literature, "Data Science for Dummies" and "Statistics Made Simple" provide a serious foundation for exploring data relationships with precision. But when it comes to our topic, "The Unlikely Encyclopedia of Statistical Oddities" and "Serendipitous Statistics: How the Improbable Unravels the Unexplained" offer a whimsical take on uncovering unexpected correlations, much like finding a diamond ring in a trout's stomach.
In the realm of fiction, "The Correlation Conundrum" and "Statistical Shenanigans: The Secrets of Spurious Relationships" might seem like titles fitting to our quirky quest, but it's "The Curious Case of the Statistical Sleuth" and "A Tale of Two Data Sets" that resonate with the unexpected twists and turns we've encountered in our investigation. They make the statistical mysteries seem like Agatha Christie novels with a nerdy twist.
Further insights into the world of online memes and political capers were gleaned from popular television shows like "The Daily Show" and "Last Week Tonight with John Oliver." While not academic sources, these programs provided valuable context for the intersection of humor, public discourse, and political engagement. It's as if they were unwittingly preparing us for the delight of uncovering a correlation stranger than fiction – perhaps a statistical sitcom in the making.
As we traverse the curious landscape of electoral eccentricities and internet oddities, we find ourselves pausing to appreciate the sheer whimsy of this juncture between politics and meme culture. It's akin to stumbling upon a pun-loving parrot in a parliament, an unexpected and delightful occurrence that urges us to proceed with a sense of wonder and lightheartedness. Who knew statistics could be this much fun?

[[RESULTS]]
The analysis of our data revealed a striking correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." Despite the initial incredulity this pairing may evoke, the statistical relationship we uncovered boasts a correlation coefficient of 0.8891927, an r-squared of 0.7906637, and a p-value of less than 0.05. It's as if these variables were in cahoots, conspiring to confound conventional wisdom and tickle the funny bone of statistical analysis.
Fig. 1 shows the scatterplot, exhibiting the robust association between the two variables. It's a sight to behold—a statistical dance where political preferences and a Jeb Bush moment harmonize as smoothly as a dad joke at a backyard barbecue.
The strength of this correlation is akin to the bond between two peas in a pod, or better yet, the seamless harmony of a perfect punchline. Our findings not only underscore the unexpected synergies that can emerge in the world of data analysis but also emphasize the need to approach statistical exploration with a sense of both rigor and lighthearted curiosity.
These results indicate that the relationship between votes for the Libertarian presidential candidate in Mississippi and Google searches for "please clap" is not to be dismissed as mere coincidence, much like a dad joke that lands with unexpected precision. Rather, our findings invite further reflection on the whimsical interplay of internet culture and political engagement, offering a lighthearted lens through which to view the complexities of human behavior and societal trends.
In essence, our research serves as a gentle reminder that even in the domain of statistical inquiry, the unexpected can yield valuable insights, much like stumbling upon a well-timed pun in the midst of a serious discussion.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

In the delightful dance of statistical analysis, our findings underscore the quirky correlation between votes for the Libertarian presidential candidate in Mississippi and Google searches for "please clap," echoing the unexpected yet robust connections illuminated by Smith and Jones (2015) and Doe et al. (2018). It's as if our data were members of a statistical comedy troupe, delivering punchlines with impeccable timing – just like a dad joke that leaves you grinning from ear to ear.

Our results support the notion that seemingly incongruous phenomena can indeed exhibit a significant relationship, much like a surprising pun in a seemingly mundane conversation. The strong correlation coefficient of 0.8891927 and p-value less than 0.05 suggest a profound connection between these variables, akin to the cohesion of a well-crafted joke – it leaves an impact and lingers in our minds long after.

The robustness of our findings underscores the value of embracing unexpected correlations in data analysis, akin to stumbling upon a punchline that unexpectedly lands with precision. In doing so, we shed light on the nuanced interplay between internet culture and political engagement, as if uncovering a hidden comedic gem in the midst of serious discourse – a statistical "knock knock" joke that invites curiosity and delight in equal measure.

Our study adds a layer of whimsical insight to the landscape of political data analysis, much like an unexpected joke that catches you off guard and leaves you grinning. By showcasing the marriage of a lighthearted meme-worthy search query and political preferences, we invite fellow researchers to approach statistical exploration with a sense of wonder and playfulness, as if they were embarking on a whimsical statistical adventure with unexpected twists and turns at every juncture.

In essence, our research advocates for the embrace of statistical serendipity and the appreciation of humorous intersections within data analysis, much like a lighthearted pun that sprinkles a dash of mirth into an otherwise serious conversation. After all, when mathematical precision meets the unexpected, the results can be as delightful as a well-timed dad joke.


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 Votes for the Libertarian Presidential candidate in Mississippi and Google searches for 'please clap'. 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]]
Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map

[[ABSTRACT]]
In this study, we delve into the unexpected correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." While the connection may seem as improbable as a unicorn sighting in a grocery store, our research team's analysis reveals a statistically significant relationship that cannot be dismissed with a wave of the hand.

Drawing on data from MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, we examined the voting patterns and online search behaviors spanning from 2004 to 2020. To our surprise (and perhaps yours as well), we uncovered a correlation coefficient of 0.8891927 and a p-value less than 0.05, suggesting a strong association between these seemingly disparate phenomena. It's as if the data were winking at us, nudging us to uncover the enigmatic link between political preferences and a lighthearted Jeb Bush moment.

As we unravel this quirky connection between electoral support for libertarian candidates and a meme-worthy search query, our findings emphasize the importance of scrutinizing intertwined societal trends, even if they initially appear as unlikely companions as a cat and a skateboard. We hope our study sparks a good chuckle along with added insight into the whimsical intersections of human behavior and political participation. After all, when it comes to data analysis, a little humor never hurt anyone—it might even be the key to unlocking significant findings, much like a dad joke that unexpectedly becomes the life of the party.

[[INTRDUCTION]]
The realm of political research often involves delving into complex statistical analyses, uncovering subtle correlations, and, occasionally, stumbling upon unexpected connections that verge on the surreal. Our study delves into precisely such unexpected territory, where the fervor of political choice meets the whimsical world of internet memes. As we embark on this statistical journey, we will navigate through the labyrinth of data, seeking to unravel the enigmatic relationship between votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap."
It's remarkable how seemingly unrelated variables can converge to form a statistically significant relationship, reminiscent of how a dad joke can unexpectedly bring levity to the most serious of discussions. In the spirit of lighthearted inquiry, we tread into the realm of correlation and causation, aiming to shed light on the seemingly inexplicable link between political preference and a lighthearted Jeb Bush moment.
Speaking of Jeb Bush, did you hear about the statistical model that ran for president? It had a great margin of error, but it just couldn't win over the voters—it was too much of an outlier.
As we embark on this exploration, we acknowledge the initial incredulity that this correlation may provoke. It's as though we stumbled upon a unicorn sipping coffee in a statistical analysis—an improbable yet fascinating find that compels us to delve deeper into the underlying mechanisms at play.
Our inquiry takes root in data sourced from esteemed repositories such as the MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, impressing upon us the importance of drawing from diverse sources, much like a versatile chef skillfully combining unexpected ingredients to create a delectable dish.
It's important to note that our study isn't about measuring political debates' applause breaks via Google search data, although that might be an interesting avenue for future research.
In our pursuit of these peculiar associations, we are motivated by a spirit of curiosity and a deep appreciation for the quirky complexities that manifest in human behavior. After all, in the realm of statistics and social phenomena, the line between the expected and the absurd can blur as swiftly as a dad making a pun at a family gathering.

[[RESULTS]]
The analysis of our data revealed a striking correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." Despite the initial incredulity this pairing may evoke, the statistical relationship we uncovered boasts a correlation coefficient of 0.8891927, an r-squared of 0.7906637, and a p-value of less than 0.05. It's as if these variables were in cahoots, conspiring to confound conventional wisdom and tickle the funny bone of statistical analysis.
Fig. 1 shows the scatterplot, exhibiting the robust association between the two variables. It's a sight to behold—a statistical dance where political preferences and a Jeb Bush moment harmonize as smoothly as a dad joke at a backyard barbecue.
The strength of this correlation is akin to the bond between two peas in a pod, or better yet, the seamless harmony of a perfect punchline. Our findings not only underscore the unexpected synergies that can emerge in the world of data analysis but also emphasize the need to approach statistical exploration with a sense of both rigor and lighthearted curiosity.
These results indicate that the relationship between votes for the Libertarian presidential candidate in Mississippi and Google searches for "please clap" is not to be dismissed as mere coincidence, much like a dad joke that lands with unexpected precision. Rather, our findings invite further reflection on the whimsical interplay of internet culture and political engagement, offering a lighthearted lens through which to view the complexities of human behavior and societal trends.
In essence, our research serves as a gentle reminder that even in the domain of statistical inquiry, the unexpected can yield valuable insights, much like stumbling upon a well-timed pun in the midst of a serious discussion.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study unearths a delightful correlation between the votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." It's as if these variables were engaged in a whimsical dance, much like a dad joke that manages to elicit groans and laughter in equal measure.

The robust correlation coefficient of 0.8891927 and the p-value less than 0.05 underscore the statistical significance of this unexpected relationship. It's almost as surprising as finding a statistician who loves to play hide and seek—unless you're mean, you'll never find them!

The scatterplot in Fig. 1 illustrates the harmonious association, akin to a perfectly timed comedic duo delivering a punchline that leaves everyone in stitches. This correlation isn't just a statistical fluke; it's more real than the likelihood of finding a unicorn in the Mississippi Delta.

Our findings emphasize the need to approach statistical exploration with a sense of both rigor and lighthearted curiosity. The enigmatic link between political preferences and a lighthearted internet meme serves as a reminder that the unexpected can yield valuable insights, much like an unexpectedly witty dad joke at a solemn academic conference.

In light of these revelatory findings, we assert with a dad-like certainty that no further research is needed in this area. It's as clear as a well-crafted pun—this correlation is no joke.


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 Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Political Analyses


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 Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Political Research


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 Google Searches for 'Please Clap' and Libertarian Votes: A Statistical Rap on Mississippi's Political Map with an abstract of In this study, we delve into the unexpected correlation between the number of votes for the Libertarian presidential candidate in Mississippi and the volume of Google searches for "please clap." While the connection may seem as improbable as a unicorn sighting in a grocery store, our research team's analysis reveals a statistically significant relationship that cannot be dismissed with a wave of the hand.
Drawing on data from MIT Election Data and Science Lab, Harvard Dataverse, and Google Trends, we examined the voting patterns and online search behaviors spanning from 2004 to 2020. To our surprise (and perhaps yours as well), we uncovered a correlation coefficient of 0.8891927 and a p-value less than 0.05, suggesting a strong association between these seemingly disparate phenomena. It's as if the data were winking at us, nudging us to uncover the enigmatic link between political preferences and a lighthearted Jeb Bush moment.
As we unravel this quirky connection between electoral support for libertarian candidates and a meme-worthy search query, our findings emphasize the importance of scrutinizing intertwined societal trends, even if they initially appear as unlikely companions as a cat and a skateboard. We hope our study sparks a good chuckle along with added insight into the whimsical intersections of human behavior and political participation. After all, when it comes to data analysis, a little humor never hurt anyone—it might even be the key to unlocking significant findings, much like a dad joke that unexpectedly becomes the life of the party.

ChatGPT:

Mississippi, political map, Google searches, "please clap", Libertarian votes, statistical analysis, correlation, voting patterns, MIT Election Data and Science Lab, Harvard Dataverse, Google Trends, electoral support, meme, societal trends, human behavior, political participation, data analysis, humor

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.



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Data details

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

Google searches for 'please clap'
Detailed data title: Relative volume of Google searches for 'please clap' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'please clap'

Correlation r = 0.8891927 (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 = 0.7906637 (Coefficient of determination)
This means 79.1% of the change in the one variable (i.e., Google searches for 'please clap') is predictable based on the change in the other (i.e., Votes for the Libertarian Presidential candidate in Mississippi) over the 5 years from 2004 through 2020.

p < 0.05, which statistically significant(Null hypothesis significance test)
The p-value is 0.044. 0.0435344273777377900000000000
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 0.89 in 4.4% of random cases. Said differently, if you correlated 23 random variables Which I absolutely did.
with the same 4 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 4 because we have two variables measured over a period of 5 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.

[ 0.03, 0.99 ] 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.
20042008201220162020
Votes for the Libertarian Presidential candidate in Mississippi (Percentage of votes)0.1573050.1960670.5192971.193610.610919
Google searches for 'please clap' (Rel. search volume)21.41667115.36362.75




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.




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([0.157305,0.196067,0.519297,1.19361,0.610919,])
array_2 = np.array([2,1.41667,1,15.3636,2.75,])
array_1_name = "Votes for the Libertarian Presidential candidate in Mississippi"
array_2_name = "Google searches for 'please clap'"

# 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: 4587 · Black Variable ID: 26121 · Red Variable ID: 1376
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