Spurious correlation #4,992 · 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 Republican Senators in Washington and the second variable is UK Annual Consumer Price Index (CPI) for Spirits. The chart goes from 2003 to 2018, 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 Votes for Republican Senators in Washington and the second variable is UK Annual Consumer Price Index (CPI) for Spirits. The chart goes from 2003 to 2018, and the two variables track closely in value over that time.

Download png, svg

AI explanation

They say as the Republican votes rose, so did the spirits in the UK. It seems like the transatlantic political vibes were distilling some strong economic outcomes across the pond. It's almost as if there was a direct line from the Senate to the spirits aisle. Perhaps the real debate isn't just in politics, but also in the recipe for a spirited economy!

^{Show image generation prompt} Model: dalle-3
Prompt: [ A scene from Skyrim ] In the heart of the enchanting city of Whiterun, the Jarl's palace stands grand against the backdrop of the Nordic landscape. Within its halls, an extraordinary convergence unfolds. A majestic dragon, with scales as radiant as the Senate floor in Washington, hovers above, its imposing presence a symbol of power and authority. Meanwhile, amidst the hustle and bustle of the marketplace, the apothecary's shelves witness a mysterious change - the ingredients for brewing potent potions seem to fluctuate alongside the movements of the Annual Consumer Price Index for spirits in the UK. This juxtaposition of political and economic influence brings an otherworldly charm to the scene, as if the debates of mighty leaders and the spirits of commerce whisper unspoken spells across continents. 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: Republican votes for Senators in Washington and UK Annual Consumer Price Index (CPI) for Spirits. 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: Brutalism A scene from Skyrim a funny image macro Scalar art Celtic art
ChatGPT: A scene from Skyrim

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 Republican votes for Senators in Washington and UK Annual Consumer Price Index (CPI) for Spirits, in the following situation: They say as the Republican votes rose, so did the spirits in the UK. It seems like the transatlantic political vibes were distilling some strong economic outcomes across the pond. It's almost as if there was a direct line from the Senate to the spirits aisle. Perhaps the real debate isn't just in politics, but also in the recipe for a spirited economy!. Keep the description simple.
ChatGPT: In Washington, the Senate floor is bustling with activity as Republican votes steadily increase. Across the Atlantic in the UK, the shelves of liquor stores are witnessing a gradual rise in the Annual Consumer Price Index (CPI) for spirits. The political and economic trends seem to intertwine, creating a direct line from the Senate chamber to the spirits aisle, as though the political debates are influencing the recipe for a spirited economy.

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 scene from Skyrim ] and depicting this scene: In Washington, the Senate floor is bustling with activity as Republican votes steadily increase. Across the Atlantic in the UK, the shelves of liquor stores are witnessing a gradual rise in the Annual Consumer Price Index (CPI) for spirits. The political and economic trends seem to intertwine, creating a direct line from the Senate chamber to the spirits aisle, as though the political debates are influencing the recipe for a spirited economy. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ A scene from Skyrim ] In the heart of the enchanting city of Whiterun, the Jarl's palace stands grand against the backdrop of the Nordic landscape. Within its halls, an extraordinary convergence unfolds. A majestic dragon, with scales as radiant as the Senate floor in Washington, hovers above, its imposing presence a symbol of power and authority. Meanwhile, amidst the hustle and bustle of the marketplace, the apothecary's shelves witness a mysterious change - the ingredients for brewing potent potions seem to fluctuate alongside the movements of the Annual Consumer Price Index for spirits in the UK. This juxtaposition of political and economic influence brings an otherworldly charm to the scene, as if the debates of mighty leaders and the spirits of commerce whisper unspoken spells across continents.

*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 increases in Republican votes for Senators in Washington positively influenced UK Annual Consumer Price Index (CPI) for Spirits. Include one good pun.

AI academic paper

(Because p < 0.01)

Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits

The Journal of Political Spirituality

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 Republican votes for Senators in Washington and UK Annual Consumer Price Index (CPI) for Spirits. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
"Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits"

[[ABSTRACT]]
The relationship between political leanings and consumer behavior has long been a subject of interest. This study delves into the intriguing connection between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits. Combining data from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team scrutinized this unconventional correlation over a 15-year period from 2003 to 2018.

Unveiling a correlation coefficient of 0.9519443 and p < 0.01, our findings reveal a striking association that cannot be dismissed as mere coincidence. It seems that as Republican support in Washington increased, so did the UK's CPI for spirits, painting an unexpected picture of transatlantic political and economic influence. It's as if the spirits in the UK were stirred by the political tides across the pond!

This discovery sheds light on the intertwined nature of politics and consumption patterns, demonstrating that even in the realm of economics, political winds can have a tangible impact. The implications of this connection are not to be taken lightly, as they highlight the far-reaching effects of political shifts on global consumer behaviors, "spiritually" linking the voting booth to the liquor aisle.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the saying goes, "In spirits we trust," but perhaps we should also consider, "In politics we pour." The intersection of political dynamics and consumer trends has long been an enigma wrapped in a mystery and shrouded in a tantalizing mist of statistical intrigue. Our study dives headfirst into this swirling cauldron of data, uncovering the fascinating association between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits.
It's no wonder that examining the connection between political leanings and consumer purchasing habits leads us to spirits - after all, they say politics can drive anyone to drink! This research, however, aims to bring some statistical sobriety to this fascinating relationship, with a twist of humor and a dash of scientific rigor.
The correlation coefficient of 0.9519443 practically screams, "Cheers to statistical significance!" While we wanted to toast our findings with a celebratory round, we exercised scholarly restraint and opted for a toast of data-driven reflection instead. The statistical significance of our results is not to be taken lightly, unlike the foam atop a freshly poured pint.
This revelation may leave some scratching their heads, wondering how on earth voting patterns in Washington could possibly jive with the price of a pint in the UK. Well, as Sherlock Holmes might say, "Elementary, my dear researcher!" This unexpected connection suggests a deeper relationship between political ideologies and consumer behaviors, as if the spirits of the market were swayed by the political spirits across the Atlantic. It's a statistical cocktail with a twist of transatlantic intrigue.
Every correlation has its skeptics, but this one is more solid than the ice in your favorite highball. The p-value of less than 0.01 winks at us from the results like a mischievous imp, daring us to ignore the compelling association we've unearthed. It seems that when Washington takes a legislative step, the UK might just take a sip in response, a statistical waltz of political and economic harmony.
Such findings are not just intriguing for their novelty – they have implications for understanding the intricate dance of global politics and consumer economics. By uniting two seemingly disparate variables, our research underscores the ripple effects of political shifts on international economic indicators, demonstrating that even in the world of statistics, politics can stir things up, especially when it comes to spirits.
So, as we embark on this research journey, we raise a metaphorical glass to academic inquiry, statistical merriment, and the whimsical dance between political forces and consumer trends. Cheers to uncovering correlations that make us raise a quizzical eyebrow – or perhaps just the corner of our statistical bell curve!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Political Leanings and Consumer Pricing: A Comparative Study," Smith et al. delve into the intricate web of connections between political ideologies and consumer goods, shedding light on the unforeseen influence of political leanings on pricing patterns. Their findings hint at a complex interplay between political shifts and economic indicators, providing a foundation for our investigation into the link between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits.

Dad Joke: Why did the Republican bring a ladder to the UK? He heard the spirits were high!

Moving on, Doe and Jones, in their work "The Political Economy of Spirits," explore the impact of political dynamics on consumer behavior, emphasizing the role of legislative decisions in shaping consumption patterns. Their comprehensive analysis establishes the groundwork for our exploration of the intriguing connection between Republican votes in Washington and the UK CPI for spirits, offering valuable insights into the underlying mechanisms at play.

Dad Joke: Did you hear about the Republican who always had the best spirits? They had a "spirited" approach to politics!

Books such as "The Whiskey Rebellion: Frontier Epilogue to the American Revolution" and "The Art of Distilling Whiskey and Other Spirits" provide historical context and industry-specific knowledge that inform our understanding of the cultural and economic significance of spirits. These sources offer valuable perspectives on the complexities of the spirits market and its intersection with political and economic factors, laying a flavorful foundation for our investigation.

On a fictional note, the novels "The Rum Diary" and "The Tequila Mockingbird" may not offer direct insights into the correlation between political voting patterns and consumer pricing, but they certainly lend a literary twist to our exploration of spirits-related themes. Despite their fictional nature, these titles evoke the spirit (pun intended) of our research, adding a dash of whimsy to our academic inquiry.

Dad Joke: What did the economist say about reading fiction books for research? It's not just about the spirits, it's the spirit of the research that counts!

In the realm of unconventional research sources, our team took a divergent approach to literature review, scouring sources ranging from economic journals and historical texts to, dare I say it, CVS receipts – the ultimate repository of consumer purchasing data. While some may scoff at such unorthodox methods, our findings reflect the richness and diversity of our data sources, reminding us that knowledge can be distilled from unexpected places.

The research landscape is vast, but our exploration into the curious connection between Republican votes in Washington and the UK CPI for spirits demonstrates that scholarly inquiry can be as varied and flavorful as the selection at a well-stocked bar. With a dash of academic rigor and a sprinkle of humor, we raise a collective toast to the spirited journey ahead. Cheers to uncovering correlations that make us raise a quizzical eyebrow – or perhaps just the corner of our statistical bell curve!

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 Republican votes for Senators in Washington and UK Annual Consumer Price Index (CPI) for Spirits. 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 Statista . You used data from 2003 to 2018

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits"

[[ABSTRACT]]
The relationship between political leanings and consumer behavior has long been a subject of interest. This study delves into the intriguing connection between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits. Combining data from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team scrutinized this unconventional correlation over a 15-year period from 2003 to 2018.

Unveiling a correlation coefficient of 0.9519443 and p < 0.01, our findings reveal a striking association that cannot be dismissed as mere coincidence. It seems that as Republican support in Washington increased, so did the UK's CPI for spirits, painting an unexpected picture of transatlantic political and economic influence. It's as if the spirits in the UK were stirred by the political tides across the pond!

This discovery sheds light on the intertwined nature of politics and consumption patterns, demonstrating that even in the realm of economics, political winds can have a tangible impact. The implications of this connection are not to be taken lightly, as they highlight the far-reaching effects of political shifts on global consumer behaviors, "spiritually" linking the voting booth to the liquor aisle.

[[INTRODUCTION]]
As the saying goes, "In spirits we trust," but perhaps we should also consider, "In politics we pour." The intersection of political dynamics and consumer trends has long been an enigma wrapped in a mystery and shrouded in a tantalizing mist of statistical intrigue. Our study dives headfirst into this swirling cauldron of data, uncovering the fascinating association between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits.
It's no wonder that examining the connection between political leanings and consumer purchasing habits leads us to spirits - after all, they say politics can drive anyone to drink! This research, however, aims to bring some statistical sobriety to this fascinating relationship, with a twist of humor and a dash of scientific rigor.
The correlation coefficient of 0.9519443 practically screams, "Cheers to statistical significance!" While we wanted to toast our findings with a celebratory round, we exercised scholarly restraint and opted for a toast of data-driven reflection instead. The statistical significance of our results is not to be taken lightly, unlike the foam atop a freshly poured pint.
This revelation may leave some scratching their heads, wondering how on earth voting patterns in Washington could possibly jive with the price of a pint in the UK. Well, as Sherlock Holmes might say, "Elementary, my dear researcher!" This unexpected connection suggests a deeper relationship between political ideologies and consumer behaviors, as if the spirits of the market were swayed by the political spirits across the Atlantic. It's a statistical cocktail with a twist of transatlantic intrigue.
Every correlation has its skeptics, but this one is more solid than the ice in your favorite highball. The p-value of less than 0.01 winks at us from the results like a mischievous imp, daring us to ignore the compelling association we've unearthed. It seems that when Washington takes a legislative step, the UK might just take a sip in response, a statistical waltz of political and economic harmony.
Such findings are not just intriguing for their novelty – they have implications for understanding the intricate dance of global politics and consumer economics. By uniting two seemingly disparate variables, our research underscores the ripple effects of political shifts on international economic indicators, demonstrating that even in the world of statistics, politics can stir things up, especially when it comes to spirits.
So, as we embark on this research journey, we raise a metaphorical glass to academic inquiry, statistical merriment, and the whimsical dance between political forces and consumer trends. Cheers to uncovering correlations that make us raise a quizzical eyebrow – or perhaps just the corner of our statistical bell curve!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To uncover the intriguing connection between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits, our research team embarked on a data-driven odyssey that would make Odysseus himself raise a skeptical eyebrow. We meticulously gathered data from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, diligently sifting through virtual mountains of information like Indiana Jones hunting for historical artifacts, though with considerably less running from boulders and slightly more clicking of mouse buttons.

After collecting data from the years 2003 to 2018, we put on our methodological goggles and dived headfirst into the statistical deep end. Our first step was to employ a robust regression analysis, employing a model that could handle the complex and multifaceted nature of our data – not unlike trying to balance multiple wine glasses on a tipsy table. We then adjusted for potential confounding variables, making sure our analysis wasn't clouded by extraneous factors, much like ensuring our vision isn't clouded by an overindulgence in spirits.

To handle the international nature of our data, we utilized a weighted least squares regression model, carefully considering the economic nuances of the United Kingdom and the political idiosyncrasies of Washington. This model, akin to a finely tuned scientific instrument, allowed us to disentangle the intricate dance between transatlantic political dynamics and consumer economic trends, not unlike a sommelier discerning the subtle nuances of a fine wine.

Additionally, to ensure the robustness and reliability of our findings, we conducted sensitivity analyses and diagnostic checks, scrutinizing our models with the precision of a detective examining a crime scene, except in this case, the clues were numbers and equations rather than footprints and fingerprints. We also performed a Granger causality test to explore the potential causal relationship between Republican votes for Senators in Washington and the UK Annual Consumer Price Index for spirits - a statistical exercise that might have made even Sherlock Holmes proud.

Lastly, to account for any potential time series patterns and autocorrelation in the data, we implemented time series analysis techniques, treating the temporal nature of the variables with the careful consideration of a watchmaker crafting a delicate timepiece. This allowed us to disentangle the temporal intricacies of the relationship between political leanings and consumer preferences, a task as challenging as uncorking a stubborn bottle of wine.

The combination of these methodological approaches allowed us to paint a clear, albeit surprising, picture of the spirited connection between Republican votes for Senators in Washington and the UK Annual Consumer Price Index for spirits – a connection not to be taken lightly, lest we underestimate the delightful intricacies of statistical inquiry.

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 Republican votes for Senators in Washington and UK Annual Consumer Price Index (CPI) for Spirits. 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]]
"Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits"

[[ABSTRACT]]
The relationship between political leanings and consumer behavior has long been a subject of interest. This study delves into the intriguing connection between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits. Combining data from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team scrutinized this unconventional correlation over a 15-year period from 2003 to 2018.

Unveiling a correlation coefficient of 0.9519443 and p < 0.01, our findings reveal a striking association that cannot be dismissed as mere coincidence. It seems that as Republican support in Washington increased, so did the UK's CPI for spirits, painting an unexpected picture of transatlantic political and economic influence. It's as if the spirits in the UK were stirred by the political tides across the pond!

This discovery sheds light on the intertwined nature of politics and consumption patterns, demonstrating that even in the realm of economics, political winds can have a tangible impact. The implications of this connection are not to be taken lightly, as they highlight the far-reaching effects of political shifts on global consumer behaviors, "spiritually" linking the voting booth to the liquor aisle.

[[LITERATURE REVIEW]]
In "Political Leanings and Consumer Pricing: A Comparative Study," Smith et al. delve into the intricate web of connections between political ideologies and consumer goods, shedding light on the unforeseen influence of political leanings on pricing patterns. Their findings hint at a complex interplay between political shifts and economic indicators, providing a foundation for our investigation into the link between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits.
Dad Joke: Why did the Republican bring a ladder to the UK? He heard the spirits were high!
Moving on, Doe and Jones, in their work "The Political Economy of Spirits," explore the impact of political dynamics on consumer behavior, emphasizing the role of legislative decisions in shaping consumption patterns. Their comprehensive analysis establishes the groundwork for our exploration of the intriguing connection between Republican votes in Washington and the UK CPI for spirits, offering valuable insights into the underlying mechanisms at play.
Dad Joke: Did you hear about the Republican who always had the best spirits? They had a "spirited" approach to politics!
Books such as "The Whiskey Rebellion: Frontier Epilogue to the American Revolution" and "The Art of Distilling Whiskey and Other Spirits" provide historical context and industry-specific knowledge that inform our understanding of the cultural and economic significance of spirits. These sources offer valuable perspectives on the complexities of the spirits market and its intersection with political and economic factors, laying a flavorful foundation for our investigation.
On a fictional note, the novels "The Rum Diary" and "The Tequila Mockingbird" may not offer direct insights into the correlation between political voting patterns and consumer pricing, but they certainly lend a literary twist to our exploration of spirits-related themes. Despite their fictional nature, these titles evoke the spirit (pun intended) of our research, adding a dash of whimsy to our academic inquiry.
Dad Joke: What did the economist say about reading fiction books for research? It's not just about the spirits, it's the spirit of the research that counts!
In the realm of unconventional research sources, our team took a divergent approach to literature review, scouring sources ranging from economic journals and historical texts to, dare I say it, CVS receipts – the ultimate repository of consumer purchasing data. While some may scoff at such unorthodox methods, our findings reflect the richness and diversity of our data sources, reminding us that knowledge can be distilled from unexpected places.
The research landscape is vast, but our exploration into the curious connection between Republican votes in Washington and the UK CPI for spirits demonstrates that scholarly inquiry can be as varied and flavorful as the selection at a well-stocked bar. With a dash of academic rigor and a sprinkle of humor, we raise a collective toast to the spirited journey ahead. Cheers to uncovering correlations that make us raise a quizzical eyebrow – or perhaps just the corner of our statistical bell curve!

[[RESULTS]]
The analysis of the data from 2003 to 2018 revealed a remarkably strong correlation between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits, with a correlation coefficient of 0.9519443. This result indicates a robust positive relationship between the two variables, suggesting that as Republican support increased in Washington, the UK's CPI for spirits also exhibited an upward trend. It's almost as if political fervor can have a "spirit"-ual influence across the pond! *That's one way to make spirits bright!*
Additionally, the calculated r-squared value of 0.9061979 indicates that a substantial proportion of the variability in the UK Annual CPI for spirits can be explained by the variation in Republican votes for Senators in Washington, further bolstering the strength of this unexpected association. It's like finding out that the recipe for predicting the UK's spirit prices includes a dash of political fervor and a sprinkle of electoral results! *Talk about a politically charged cocktail!*
The p-value of less than 0.01 adds statistical weight to our findings, suggesting that the observed correlation is unlikely to be a result of random chance. The statistical significance practically gives a nod and a wink, as if to say, "These results are the real deal – no statistical hocus pocus here!" *It's like hitting the political and economic jackpot, without having to pull any statistical levers!*
To visually illustrate the strength of the relationship, a scatterplot (Fig. 1) was constructed, displaying the striking positive correlation between Republican votes for Senators in Washington and the UK Annual Consumer Price Index for spirits. This figure serves as a compelling visual representation of the statistical connection uncovered in our analysis. It's like the Mona Lisa of statistical plots – a masterpiece that leaves an indelible impression! *Who knew that a scatterplot could be so "spirited"?*
Overall, our findings provide compelling evidence of the intertwined nature of political dynamics and consumer behaviors, highlighting the far-reaching implications of political shifts on global economic indicators. The results suggest that even in the realm of economics, the influence of political winds cannot be ignored, reminding us that when it comes to statistical relationships, there can always be a surprising twist. *Looks like there's more than meets the "eye" in statistical analysis – especially when spirits are involved!*

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our study has unraveled an unanticipated yet robust link between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits. This unexpected correlation shines a spotlight on the peculiar interplay between political inclinations and consumer spending habits, demonstrating that even in the realm of economics, political ripples can stir the spirits market – quite literally! It's as if the decisions in the Senate were echoing all the way to the distilleries across the Atlantic. *Talk about legislating spirits into the spotlight!*

Our findings align with prior research by Smith et al., which hinted at the intricate connections between political ideologies and pricing patterns. In a similar vein, Doe and Jones' work underscored the impact of political dynamics on consumer behavior, laying a solid groundwork for our investigation. It appears that the relationship we've unearthed isn't just a statistical anomaly – it's a legitimate phenomenon that warrants further exploration. *Looks like the spirits of politics are wafting through the market aisles!*

The correlation coefficient of 0.9519443 highlights a compelling and practically cozy relationship between these seemingly disparate variables. This statistical hug suggests that as Republican support in Washington rises, so do the UK's spirits prices, painting a picture of bipartisan economic influence that is as unexpected as it is intriguing. It's almost as if the political compass is pointing towards the nearest distillery across the pond! *Who knew politics could be such a “spirited” affair?*

Our study's r-squared value of 0.9061979 further reinforces the substantial proportion of variability in the UK Annual CPI for spirits that can be explained by the fluctuations in Republican votes for Senators in Washington, substantiating the potency of this peculiar association. It's like uncovering a secret recipe where political fervor and economic trends blend into a statistical cocktail of influence. *I guess the spirits market isn't just influenced by supply and “demand” – it’s got a political flavor too!*

The p-value of less than 0.01 lends additional weight to our findings, effectively dispelling any notion of chance as the driver of this correlation. It's akin to discovering a rare spirit in a world of statistical probabilities – a pleasant surprise that reinforces the genuine nature of this connection. Our statistical results stand taller than a bottle of premium whisky, daring anyone to challenge the authenticity of this intriguing relationship. *Looks like the statistical stars aligned for this "spirited" revelation!*

The scatterplot (Fig. 1) serves as a visual testament to the strength of the relationship we've uncovered, capturing the positive correlation between Republican votes for Senators in Washington and the UK Annual CPI for spirits in a way that's as striking as a top-shelf bottle. This visual representation adds a touch of flair to our findings, reminding us that even in the world of numbers, a little artistic impression can go a long way. *Who knew statistical plots could be so visually intoxicating?*

In essence, our study not only sheds light on the interconnected nature of political dynamics and consumer behaviors but also serves as a reminder that statistical relationships can sometimes take an unexpectedly "spirited" turn. The implications stretch far and wide, demonstrating that the political and economic spheres are more intertwined than meets the eye. *Looks like our “spirited” findings are raising more than just eyebrows – perhaps a toast to statistical serendipity!*

Stay tuned for more statistical escapades – the next round's on us!

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 Republican votes for Senators in Washington and UK Annual Consumer Price Index (CPI) for Spirits. 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]]
"Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits"

[[ABSTRACT]]
The relationship between political leanings and consumer behavior has long been a subject of interest. This study delves into the intriguing connection between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits. Combining data from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team scrutinized this unconventional correlation over a 15-year period from 2003 to 2018.

Unveiling a correlation coefficient of 0.9519443 and p < 0.01, our findings reveal a striking association that cannot be dismissed as mere coincidence. It seems that as Republican support in Washington increased, so did the UK's CPI for spirits, painting an unexpected picture of transatlantic political and economic influence. It's as if the spirits in the UK were stirred by the political tides across the pond!

This discovery sheds light on the intertwined nature of politics and consumption patterns, demonstrating that even in the realm of economics, political winds can have a tangible impact. The implications of this connection are not to be taken lightly, as they highlight the far-reaching effects of political shifts on global consumer behaviors, "spiritually" linking the voting booth to the liquor aisle.

[[INTRDUCTION]]
As the saying goes, "In spirits we trust," but perhaps we should also consider, "In politics we pour." The intersection of political dynamics and consumer trends has long been an enigma wrapped in a mystery and shrouded in a tantalizing mist of statistical intrigue. Our study dives headfirst into this swirling cauldron of data, uncovering the fascinating association between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits.
It's no wonder that examining the connection between political leanings and consumer purchasing habits leads us to spirits - after all, they say politics can drive anyone to drink! This research, however, aims to bring some statistical sobriety to this fascinating relationship, with a twist of humor and a dash of scientific rigor.
The correlation coefficient of 0.9519443 practically screams, "Cheers to statistical significance!" While we wanted to toast our findings with a celebratory round, we exercised scholarly restraint and opted for a toast of data-driven reflection instead. The statistical significance of our results is not to be taken lightly, unlike the foam atop a freshly poured pint.
This revelation may leave some scratching their heads, wondering how on earth voting patterns in Washington could possibly jive with the price of a pint in the UK. Well, as Sherlock Holmes might say, "Elementary, my dear researcher!" This unexpected connection suggests a deeper relationship between political ideologies and consumer behaviors, as if the spirits of the market were swayed by the political spirits across the Atlantic. It's a statistical cocktail with a twist of transatlantic intrigue.
Every correlation has its skeptics, but this one is more solid than the ice in your favorite highball. The p-value of less than 0.01 winks at us from the results like a mischievous imp, daring us to ignore the compelling association we've unearthed. It seems that when Washington takes a legislative step, the UK might just take a sip in response, a statistical waltz of political and economic harmony.
Such findings are not just intriguing for their novelty – they have implications for understanding the intricate dance of global politics and consumer economics. By uniting two seemingly disparate variables, our research underscores the ripple effects of political shifts on international economic indicators, demonstrating that even in the world of statistics, politics can stir things up, especially when it comes to spirits.
So, as we embark on this research journey, we raise a metaphorical glass to academic inquiry, statistical merriment, and the whimsical dance between political forces and consumer trends. Cheers to uncovering correlations that make us raise a quizzical eyebrow – or perhaps just the corner of our statistical bell curve!

[[RESULTS]]
The analysis of the data from 2003 to 2018 revealed a remarkably strong correlation between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits, with a correlation coefficient of 0.9519443. This result indicates a robust positive relationship between the two variables, suggesting that as Republican support increased in Washington, the UK's CPI for spirits also exhibited an upward trend. It's almost as if political fervor can have a "spirit"-ual influence across the pond! *That's one way to make spirits bright!*
Additionally, the calculated r-squared value of 0.9061979 indicates that a substantial proportion of the variability in the UK Annual CPI for spirits can be explained by the variation in Republican votes for Senators in Washington, further bolstering the strength of this unexpected association. It's like finding out that the recipe for predicting the UK's spirit prices includes a dash of political fervor and a sprinkle of electoral results! *Talk about a politically charged cocktail!*
The p-value of less than 0.01 adds statistical weight to our findings, suggesting that the observed correlation is unlikely to be a result of random chance. The statistical significance practically gives a nod and a wink, as if to say, "These results are the real deal – no statistical hocus pocus here!" *It's like hitting the political and economic jackpot, without having to pull any statistical levers!*
To visually illustrate the strength of the relationship, a scatterplot (Fig. 1) was constructed, displaying the striking positive correlation between Republican votes for Senators in Washington and the UK Annual Consumer Price Index for spirits. This figure serves as a compelling visual representation of the statistical connection uncovered in our analysis. It's like the Mona Lisa of statistical plots – a masterpiece that leaves an indelible impression! *Who knew that a scatterplot could be so "spirited"?*
Overall, our findings provide compelling evidence of the intertwined nature of political dynamics and consumer behaviors, highlighting the far-reaching implications of political shifts on global economic indicators. The results suggest that even in the realm of economics, the influence of political winds cannot be ignored, reminding us that when it comes to statistical relationships, there can always be a surprising twist. *Looks like there's more than meets the "eye" in statistical analysis – especially when spirits are involved!*

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study uncovered a spirited connection between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits, shedding light on the unexpected harmony between political shifts and economic libations. It's as if political leanings can "stir" the market - pun intended!

The correlation coefficient of 0.9519443 practically shouts, "I'm statistically significant, and I know it!" We've certainly raised the statistical bar - or should I say, raised the statistical "bourbon"? *It's like we've stumbled upon the statistical goldmine at the end of the political rainbow!*

Moreover, the calculated r-squared value of 0.9061979 suggests that a substantial proportion of the variability in the UK Annual CPI for spirits can be explained by the variation in Republican votes for Senators in Washington. It's like discovering the secret recipe for a political-economic cocktail – with just a dash of political fervor and a sprinkle of statistical prowess! *Seems like we've concocted a statistically intoxicating mix!*

With a p-value of less than 0.01, our results stand firm against the specter of chance, asserting their statistical might. This isn't just any statistical significance - it's the kind that makes you want to raise a statistical glass and toast to empirical triumph! *Who knew statistics could be so "proof-worthy"?*

In light of these compelling findings, it's safe to say that our research has poured some statistical merriment into the often-serious world of politics and economics. The implications of this unusual correlation are noteworthy, but let's not "vodka"bout it - *looks like we've distilled some serious answers here!*

In closing, this investigation into the peculiar link between political affiliations and consumer behavior delivers a compelling punchline: when it comes to statistical relationships, there's always room for a good twist – or in this case, a delightful "spiritual" turn. And of course, it goes without saying that no more research is needed in this area. The "proof" of our findings is in the statistical "shots" we've served up. *No need to call for reinforcements - we've got this one "on the rocks"!* Cheers to that!

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 Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political Spirituality

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 Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Political Potables Analysis

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 Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits with an abstract of The relationship between political leanings and consumer behavior has long been a subject of interest. This study delves into the intriguing connection between Republican votes for Senators in Washington and the UK Annual Consumer Price Index (CPI) for spirits. Combining data from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team scrutinized this unconventional correlation over a 15-year period from 2003 to 2018.
Unveiling a correlation coefficient of 0.9519443 and p < 0.01, our findings reveal a striking association that cannot be dismissed as mere coincidence. It seems that as Republican support in Washington increased, so did the UK's CPI for spirits, painting an unexpected picture of transatlantic political and economic influence. It's as if the spirits in the UK were stirred by the political tides across the pond!
This discovery sheds light on the intertwined nature of politics and consumption patterns, demonstrating that even in the realm of economics, political winds can have a tangible impact. The implications of this connection are not to be taken lightly, as they highlight the far-reaching effects of political shifts on global consumer behaviors, "spiritually" linking the voting booth to the liquor aisle.

ChatGPT:

Republican votes, Senators Washington, UK Annual Consumer Price Index, CPI for spirits, political leanings, consumer behavior, correlation, MIT Election Data and Science Lab, Harvard Dataverse, Statista, transatlantic influence, political and economic impact, consumption patterns, global consumer behaviors, political shifts, liquor aisle

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

Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error

Data details

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

UK Annual Consumer Price Index (CPI) for Spirits
Source: Statista
See what else correlates with UK Annual Consumer Price Index (CPI) for Spirits

Correlation r = 0.9519443 (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 = 0.9061979 (Coefficient of determination)
This means 90.6% of the change in the one variable (i.e., UK Annual Consumer Price Index (CPI) for Spirits) is predictable based on the change in the other (i.e., Votes for Republican Senators in Washington) over the 6 years from 2003 through 2018.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00341.^Show 0.0034085421503303150000000000
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 0.95 in 0.341% of random cases. Said differently, if you correlated 293 random variables^Note Which I absolutely did.
with the same 5 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 5 because we have two variables measured over a period of 6 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.

[ 0.62, 0.99 ] 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.

	2004	2006	2010	2012	2016	2018
Votes for Republican Senators in Washington (Percentage of votes)	42.7362	39.9334	47.6352	39.549	40.987	41.5662
UK Annual Consumer Price Index (CPI) for Spirits (CPI)	100.8	99.5	115.2	96.5	96.8	98.3

Why this works

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.
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.
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. ^{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([42.7362,39.9334,47.6352,39.549,40.987,41.5662,])
array_2 = np.array([100.8,99.5,115.2,96.5,96.8,98.3,])
array_1_name = "Votes for Republican Senators in Washington"
array_2_name = "UK Annual Consumer Price Index (CPI) for Spirits"

# 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 Votes for Republican Senators in Washington
Line chart for only UK Annual Consumer Price Index (CPI) for Spirits
AI-generated correlation image
The spurious research paper: Party Pours: The Spirited Connection Between Republican Votes for Senators in Washington and UK Annual Consumer Price Index for Spirits

View another random correlation

How fun was this correlation?

Your correlation inspection deserves a standing ovation!

Correlation ID: 4992 · Black Variable ID: 26479 · Red Variable ID: 259


Problem variable:
Issue:
Additional details: Optional
Confirm you are a human: