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Spurious correlation #4,483 · 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 Louisiana and the second variable is The number of consultants in Louisiana.  The chart goes from 2003 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As Republican votes for Senators in Louisiana increase, the demand for consultants who specialize in political strategy and communication also rises. These consultants are sought after to assist with campaign planning, messaging, and public relations efforts. This, in turn, leads to a proliferation of consultants across the state, all vying to showcase their prowess in shaping political outcomes. It's a boon for the consulting industry, as their expertise is now in higher demand, and they're capitalizing on the opportunity to sway political tides in the Pelican State. With each election season, the influence of these political consultants continues to grow, shaping the landscape of Louisiana politics and prompting aspiring consultants to flock to the state, eager to partake in the political fray. This cycle of electoral success breeding a consulting boom in Louisiana demonstrates the intertwined nature of politics and professional advice, where a surge in Republican support catalyzes a parallel surge in the consultant population, solidifying Louisiana's status as a hub for political strategists.

Model: dalle-3
Prompt: "Create an image of a bustling Louisiana state capitol building, with voters casting their ballots in a line outside, while inside, a row of offices is filled with busy political consultants advising candidates and strategizing campaign tactics. The scene should convey the growing consultant population in response to rising Republican support, solidifying Louisiana as a hub for political strategists. The image should have a humorous twist in the style of a funny image macro." 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 Louisiana and The number of consultants in Louisiana. 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: A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Celtic art Vaporwave Cute 2D animation a funny image macro
ChatGPT: a funny image macro

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 Louisiana and The number of consultants in Louisiana, in the following situation: As Republican votes for Senators in Louisiana increase, the demand for consultants who specialize in political strategy and communication also rises. These consultants are sought after to assist with campaign planning, messaging, and public relations efforts. This, in turn, leads to a proliferation of consultants across the state, all vying to showcase their prowess in shaping political outcomes. It's a boon for the consulting industry, as their expertise is now in higher demand, and they're capitalizing on the opportunity to sway political tides in the Pelican State. With each election season, the influence of these political consultants continues to grow, shaping the landscape of Louisiana politics and prompting aspiring consultants to flock to the state, eager to partake in the political fray. This cycle of electoral success breeding a consulting boom in Louisiana demonstrates the intertwined nature of politics and professional advice, where a surge in Republican support catalyzes a parallel surge in the consultant population, solidifying Louisiana's status as a hub for political strategists.. Keep the description simple.
ChatGPT: In Louisiana, as Republican votes for Senators increase, the demand for political consultants soars. The scene shows a bustling state capitol building, with a line of voters casting their ballots, and a row of offices nearby filled with consultants busily advising candidates and strategizing campaign tactics. The air hums with the energy of a growing consultant population, all eager to leave their mark on the political landscape. This visual depicts the intertwined relationship between rising Republican support and the burgeoning consultant industry, solidifying Louisiana as a hub for political strategists.

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 funny image macro ] and depicting this scene: In Louisiana, as Republican votes for Senators increase, the demand for political consultants soars. The scene shows a bustling state capitol building, with a line of voters casting their ballots, and a row of offices nearby filled with consultants busily advising candidates and strategizing campaign tactics. The air hums with the energy of a growing consultant population, all eager to leave their mark on the political landscape. This visual depicts the intertwined relationship between rising Republican support and the burgeoning consultant industry, solidifying Louisiana as a hub for political strategists. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: "Create an image of a bustling Louisiana state capitol building, with voters casting their ballots in a line outside, while inside, a row of offices is filled with busy political consultants advising candidates and strategizing campaign tactics. The scene should convey the growing consultant population in response to rising Republican support, solidifying Louisiana as a hub for political strategists. The image should have a humorous twist in the style of a funny image macro."

*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 Republican votes for Senators in Louisiana caused The number of consultants in Louisiana to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)
Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana

The Journal of Political Consultancy and Statistical Analysis

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 Republican votes for Senators in Louisiana and The number of consultants in Louisiana. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Include a pun in the title.

Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.9531862 and p < 0.01 for 2003 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]]
"Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana"

[[ABSTRACT]]
In this research paper, we present the findings of our investigation into the correlation between the number of consultants in Louisiana and Republican votes for Senators. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics, our research team diligently delved into this perplexing correlation to shed light on a potential relationship that has long evaded scrutiny. Our analysis yielded a correlation coefficient of 0.9531862 and a significance level of p < 0.01 for the years 2003 to 2020. Through our rigorous examination, we concurrently discovered the potential influence of political alignment on the economy and labor market, providing insights into the underlying dynamics that intertwine politics and the professional consultant landscape.

Our investigation not only illuminates a statistically robust relationship between these variables but also paves the way for a new era of observational humor, where consultants and senators walk into a statistical model... But in all seriousness, our findings underscore the interplay between political preferences and the demand for professional expertise, offering a data-driven glimpse into the peculiar dance of ideology and economic activity in the bayou state. This research not only expands our understanding of the political economy but also underscores the need for nuanced analysis that brings together political science, economics, and a dash of whimsy in the pursuit of knowledge.


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 Republican votes for Senators in Louisiana and The number of consultants in Louisiana. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana"

[[ABSTRACT]]
In this research paper, we present the findings of our investigation into the correlation between the number of consultants in Louisiana and Republican votes for Senators. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics, our research team diligently delved into this perplexing correlation to shed light on a potential relationship that has long evaded scrutiny. Our analysis yielded a correlation coefficient of 0.9531862 and a significance level of p < 0.01 for the years 2003 to 2020. Through our rigorous examination, we concurrently discovered the potential influence of political alignment on the economy and labor market, providing insights into the underlying dynamics that intertwine politics and the professional consultant landscape.

Our investigation not only illuminates a statistically robust relationship between these variables but also paves the way for a new era of observational humor, where consultants and senators walk into a statistical model... But in all seriousness, our findings underscore the interplay between political preferences and the demand for professional expertise, offering a data-driven glimpse into the peculiar dance of ideology and economic activity in the bayou state. This research not only expands our understanding of the political economy but also underscores the need for nuanced analysis that brings together political science, economics, and a dash of whimsy in the pursuit of knowledge.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
**[[INTRODUCTION]]**

The intertwining complexities of political landscapes and economic principles have long captivated the minds of researchers and academics. Within this rich tapestry of interdisciplinary inquiry, a peculiar relationship has been brought to light: the correlation between Republican votes for Senators in Louisiana and the number of consultants in the state. This thought-provoking connection has not only raised eyebrows but has also elicited chuckles as we endeavor to unearth the underlying dynamics through a lens of statistical scrutiny and a touch of whimsy.

Harkening back to the whimsical nature of our title, "Consultant Creep", we are reminded of the old adage, "Why did the statistician go to art school? Because he wanted to study the humanities side of the equation." Indeed, our research has sought to bridge the gap between the seemingly disparate fields of political science and labor economics, and while we may not be studying the arts, we are certainly painting a picture of correlations and coefficients across the canvas of our data.

As we embark on this scholarly endeavor, we are reminded of the age-old riddle: Which came first, the consultant or the vote? While this may not rival the enigma of the chicken and the egg, it certainly provides fertile ground for exploration. Our investigation has led us through the corridors of data from the MIT Election Data and Science Lab, where we meticulously combed through the numbers, not unlike a statistical Sherlock Holmes on the trail of a curious case.

The correlation coefficient of 0.9531862 that emerged from our analysis may not rival the speed of light, but in the realm of social science research, it shines brightly as a beacon of significance. As researchers, we have often been asked, "Is your data significant?" To which we now respond, "Why yes, it is statistically significant with a p-value less than 0.01." This finding not only elucidates the strength of the relationship between Republican votes for Senators and the number of consultants in Louisiana but also serves as a testament to the power of quantitative analysis in unravelling societal phenomena.

Furthermore, we must not overlook the potential comedic elements that emerge from our findings. As consultants and senators walk into a statistical model, one cannot help but ponder the punchline that awaits. Our research not only sheds light on the connection between political preferences and the demand for professional expertise but also hints at the potential for a new genre of stand-up comedy: "The Statistical Economist Walks into a Bar."

In the pursuit of knowledge, it is essential to traverse the realms of science and mathematics, but it is equally important to sprinkle in a dash of humor and levity. Our investigation, with its fusion of political science, economics, and a touch of wit, seeks to unravel the mysteries of consultant creep in Louisiana and inspire a new wave of observational humor within the realm of social science. Join us as we embark on this illuminating journey, not only to expand our understanding of the political economy but also to inject a bit of statistical whimsy into the scholarly discourse.


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 Louisiana and The number of consultants in Louisiana. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. 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]]
"Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana"

[[ABSTRACT]]
In this research paper, we present the findings of our investigation into the correlation between the number of consultants in Louisiana and Republican votes for Senators. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics, our research team diligently delved into this perplexing correlation to shed light on a potential relationship that has long evaded scrutiny. Our analysis yielded a correlation coefficient of 0.9531862 and a significance level of p < 0.01 for the years 2003 to 2020. Through our rigorous examination, we concurrently discovered the potential influence of political alignment on the economy and labor market, providing insights into the underlying dynamics that intertwine politics and the professional consultant landscape.

Our investigation not only illuminates a statistically robust relationship between these variables but also paves the way for a new era of observational humor, where consultants and senators walk into a statistical model... But in all seriousness, our findings underscore the interplay between political preferences and the demand for professional expertise, offering a data-driven glimpse into the peculiar dance of ideology and economic activity in the bayou state. This research not only expands our understanding of the political economy but also underscores the need for nuanced analysis that brings together political science, economics, and a dash of whimsy in the pursuit of knowledge.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intertwining complexities of political landscapes and economic principles have long captivated the minds of researchers and academics. Within this rich tapestry of interdisciplinary inquiry, a peculiar relationship has been brought to light: the correlation between Republican votes for Senators in Louisiana and the number of consultants in the state. This thought-provoking connection has not only raised eyebrows but has also elicited chuckles as we endeavor to unearth the underlying dynamics through a lens of statistical scrutiny and a touch of whimsy.
Harkening back to the whimsical nature of our title, "Consultant Creep", we are reminded of the old adage, "Why did the statistician go to art school? Because he wanted to study the humanities side of the equation." Indeed, our research has sought to bridge the gap between the seemingly disparate fields of political science and labor economics, and while we may not be studying the arts, we are certainly painting a picture of correlations and coefficients across the canvas of our data.
As we embark on this scholarly endeavor, we are reminded of the age-old riddle: Which came first, the consultant or the vote? While this may not rival the enigma of the chicken and the egg, it certainly provides fertile ground for exploration. Our investigation has led us through the corridors of data from the MIT Election Data and Science Lab, where we meticulously combed through the numbers, not unlike a statistical Sherlock Holmes on the trail of a curious case.
The correlation coefficient of 0.9531862 that emerged from our analysis may not rival the speed of light, but in the realm of social science research, it shines brightly as a beacon of significance. As researchers, we have often been asked, "Is your data significant?" To which we now respond, "Why yes, it is statistically significant with a p-value less than 0.01." This finding not only elucidates the strength of the relationship between Republican votes for Senators and the number of consultants in Louisiana but also serves as a testament to the power of quantitative analysis in unravelling societal phenomena.
Furthermore, we must not overlook the potential comedic elements that emerge from our findings. As consultants and senators walk into a statistical model, one cannot help but ponder the punchline that awaits. Our research not only sheds light on the connection between political preferences and the demand for professional expertise but also hints at the potential for a new genre of stand-up comedy: "The Statistical Economist Walks into a Bar."
In the pursuit of knowledge, it is essential to traverse the realms of science and mathematics, but it is equally important to sprinkle in a dash of humor and levity. Our investigation, with its fusion of political science, economics, and a touch of wit, seeks to unravel the mysteries of consultant creep in Louisiana and inspire a new wave of observational humor within the realm of social science. Join us as we embark on this illuminating journey, not only to expand our understanding of the political economy but also to inject a bit of statistical whimsy into the scholarly discourse.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In their study, Smith et al. (2015) examined the influence of political affiliations on economic trends, highlighting the intricate web of connections that underpin the fusion of politics and professional expertise in Louisiana. Their comprehensive analysis illuminated the potential impact of Republican votes for Senators on the demand for consultants, setting the stage for further exploration into this captivating correlation. This study echoed the sentiment that when it comes to the relationship between politics and the economy, one must always consider the consultants in the room.

Doe and Jones (2017) delved into the labor market dynamics in Louisiana, delving into the ever-growing presence of consultants and their potential ties to political preferences. Their findings revealed an intriguing dance between Republican votes for Senators and the burgeoning consultant landscape, hinting at a symbiotic relationship that transcends mere statistical significance and ventures into the realm of data-driven intrigue.

Turning to the broader literature, "The Political Economy of Louisiana: A Comprehensive Analysis" by A. Author (2019) provides a panoramic view of the economic and political landscape in Louisiana, offering insights into the multifaceted interactions that shape the state's professional expertise demands. Meanwhile, "Bayou Blues: Exploring Louisiana's Economic Quirks" by B. Blogger (2020) presents a compelling narrative of the economic idiosyncrasies of Louisiana, perhaps touching upon the nuances of consultant influence in the state.

In a more unconventional turn, the fictional works "Bayou Boondoggle: A Senator's Struggle" by C. Creative (2018) and "The Consultant Conundrum: A Tale of Louisiana Politics" by D. Dreamer (2016) offer imaginative insights into the whimsical interplay between political dynamics and the enigmatic world of consultants in the bayou state.

As part of our rigorous research process, the team immersed themselves in the realm of television, exploring shows such as "The Bayou Consultants" and "Political Puzzles: Unraveling Louisiana's Senate Votes". While these TV shows may not be grounded in empirical research, they provided a unique lens through which to perceive the intricate relationship between Republican votes for Senators and the surging presence of consultants in Louisiana.

Now, if only there was a reality TV show titled "Senatorial Survivor: Consultant Edition" where contestants navigate the complexities of political allegiance and professional expertise in the Louisiana swamps. Alas, a researcher can dream.

Stay tuned as we unravel the correlation between consultants and Republican votes in Louisiana, and perhaps stumble upon a few statistical punchlines along the way.


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 Louisiana and The number of consultants in Louisiana. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Bureau of Larbor Statistics . You used data from 2003 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]]
"Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana"

[[ABSTRACT]]
In this research paper, we present the findings of our investigation into the correlation between the number of consultants in Louisiana and Republican votes for Senators. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics, our research team diligently delved into this perplexing correlation to shed light on a potential relationship that has long evaded scrutiny. Our analysis yielded a correlation coefficient of 0.9531862 and a significance level of p < 0.01 for the years 2003 to 2020. Through our rigorous examination, we concurrently discovered the potential influence of political alignment on the economy and labor market, providing insights into the underlying dynamics that intertwine politics and the professional consultant landscape.

Our investigation not only illuminates a statistically robust relationship between these variables but also paves the way for a new era of observational humor, where consultants and senators walk into a statistical model... But in all seriousness, our findings underscore the interplay between political preferences and the demand for professional expertise, offering a data-driven glimpse into the peculiar dance of ideology and economic activity in the bayou state. This research not only expands our understanding of the political economy but also underscores the need for nuanced analysis that brings together political science, economics, and a dash of whimsy in the pursuit of knowledge.

[[INTRODUCTION]]
The intertwining complexities of political landscapes and economic principles have long captivated the minds of researchers and academics. Within this rich tapestry of interdisciplinary inquiry, a peculiar relationship has been brought to light: the correlation between Republican votes for Senators in Louisiana and the number of consultants in the state. This thought-provoking connection has not only raised eyebrows but has also elicited chuckles as we endeavor to unearth the underlying dynamics through a lens of statistical scrutiny and a touch of whimsy.
Harkening back to the whimsical nature of our title, "Consultant Creep", we are reminded of the old adage, "Why did the statistician go to art school? Because he wanted to study the humanities side of the equation." Indeed, our research has sought to bridge the gap between the seemingly disparate fields of political science and labor economics, and while we may not be studying the arts, we are certainly painting a picture of correlations and coefficients across the canvas of our data.
As we embark on this scholarly endeavor, we are reminded of the age-old riddle: Which came first, the consultant or the vote? While this may not rival the enigma of the chicken and the egg, it certainly provides fertile ground for exploration. Our investigation has led us through the corridors of data from the MIT Election Data and Science Lab, where we meticulously combed through the numbers, not unlike a statistical Sherlock Holmes on the trail of a curious case.
The correlation coefficient of 0.9531862 that emerged from our analysis may not rival the speed of light, but in the realm of social science research, it shines brightly as a beacon of significance. As researchers, we have often been asked, "Is your data significant?" To which we now respond, "Why yes, it is statistically significant with a p-value less than 0.01." This finding not only elucidates the strength of the relationship between Republican votes for Senators and the number of consultants in Louisiana but also serves as a testament to the power of quantitative analysis in unravelling societal phenomena.
Furthermore, we must not overlook the potential comedic elements that emerge from our findings. As consultants and senators walk into a statistical model, one cannot help but ponder the punchline that awaits. Our research not only sheds light on the connection between political preferences and the demand for professional expertise but also hints at the potential for a new genre of stand-up comedy: "The Statistical Economist Walks into a Bar."
In the pursuit of knowledge, it is essential to traverse the realms of science and mathematics, but it is equally important to sprinkle in a dash of humor and levity. Our investigation, with its fusion of political science, economics, and a touch of wit, seeks to unravel the mysteries of consultant creep in Louisiana and inspire a new wave of observational humor within the realm of social science. Join us as we embark on this illuminating journey, not only to expand our understanding of the political economy but also to inject a bit of statistical whimsy into the scholarly discourse.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

In order to unearth the underlying relationship between Republican votes for Senators in Louisiana and the number of consultants in the state, our research team embarked on a convoluted journey through the maze of data collection and statistical analysis. We sought to weave a web of evidence that not only shed light on this intriguing correlation but also showcased the delightful dance of methodology and mischief.

Data Collection:
The first step in our whimsical odyssey involved gathering data from reputable sources, including the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics. We must confess that perusing these data repositories felt akin to embarking on a treasure hunt, with statistical gems waiting to be unearthed amidst the digital archives. Our team combed through years of records from 2003 to 2020, meticulously extracting information on Republican votes for Senators in Louisiana and the number of consultants plying their trade in the state. It was a bit like mining for statistical gold in the digital hills of academia, but we emerged triumphant with a trove of data at our fingertips.

Statistical Analysis:
Armed with our treasure trove of data, we embarked on a statistical expedition that would make even the most intrepid explorer envious. We deployed the formidable arsenal of correlation analysis to scrutinize the relationship between our variables of interest. Our trusty statistical software became our compass, guiding us through the thicket of coefficients and significance levels. With a flourish of keystrokes and the click of a mouse, we summoned the correlation coefficient, revealing a striking figure of 0.9531862. It was as if the statistical stars had aligned to illuminate this intriguing link between political preferences and the demand for consulting expertise.

Humor Infusion:
Amidst the serious business of statistical analysis, we couldn't resist injecting a touch of humor into our methodology. As we traipsed through the data, we couldn't help but marvel at the potential for puns and jests hidden within the numbers. We pondered the prospect of consultants and senators engaging in a statistical tango, with data points dancing merrily in their wake. Our methodology may have been rigorous, but we couldn't resist the temptation to infuse a bit of statistical whimsy into the scholarly tradition.

In conclusion, our methodology not only paved the way for a rigorous analysis of the correlation between Republican votes for Senators and the number of consultants in Louisiana but also offered a glimpse into the playful side of statistical inquiry. As we journeyed through the data landscape, we sought to unravel the mysteries of consultant creep in Louisiana while sprinkling a dash of statistical humor into the scholarly discourse.


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 Republican votes for Senators in Louisiana and The number of consultants in Louisiana. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Bureau of Larbor Statistics .

For the time period 2003 to 2020, you found a correlation 0.9531862, r-squared of 0.9085639, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
"Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana"

[[ABSTRACT]]
In this research paper, we present the findings of our investigation into the correlation between the number of consultants in Louisiana and Republican votes for Senators. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics, our research team diligently delved into this perplexing correlation to shed light on a potential relationship that has long evaded scrutiny. Our analysis yielded a correlation coefficient of 0.9531862 and a significance level of p < 0.01 for the years 2003 to 2020. Through our rigorous examination, we concurrently discovered the potential influence of political alignment on the economy and labor market, providing insights into the underlying dynamics that intertwine politics and the professional consultant landscape.

Our investigation not only illuminates a statistically robust relationship between these variables but also paves the way for a new era of observational humor, where consultants and senators walk into a statistical model... But in all seriousness, our findings underscore the interplay between political preferences and the demand for professional expertise, offering a data-driven glimpse into the peculiar dance of ideology and economic activity in the bayou state. This research not only expands our understanding of the political economy but also underscores the need for nuanced analysis that brings together political science, economics, and a dash of whimsy in the pursuit of knowledge.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intertwining complexities of political landscapes and economic principles have long captivated the minds of researchers and academics. Within this rich tapestry of interdisciplinary inquiry, a peculiar relationship has been brought to light: the correlation between Republican votes for Senators in Louisiana and the number of consultants in the state. This thought-provoking connection has not only raised eyebrows but has also elicited chuckles as we endeavor to unearth the underlying dynamics through a lens of statistical scrutiny and a touch of whimsy.
Harkening back to the whimsical nature of our title, "Consultant Creep", we are reminded of the old adage, "Why did the statistician go to art school? Because he wanted to study the humanities side of the equation." Indeed, our research has sought to bridge the gap between the seemingly disparate fields of political science and labor economics, and while we may not be studying the arts, we are certainly painting a picture of correlations and coefficients across the canvas of our data.
As we embark on this scholarly endeavor, we are reminded of the age-old riddle: Which came first, the consultant or the vote? While this may not rival the enigma of the chicken and the egg, it certainly provides fertile ground for exploration. Our investigation has led us through the corridors of data from the MIT Election Data and Science Lab, where we meticulously combed through the numbers, not unlike a statistical Sherlock Holmes on the trail of a curious case.
The correlation coefficient of 0.9531862 that emerged from our analysis may not rival the speed of light, but in the realm of social science research, it shines brightly as a beacon of significance. As researchers, we have often been asked, "Is your data significant?" To which we now respond, "Why yes, it is statistically significant with a p-value less than 0.01." This finding not only elucidates the strength of the relationship between Republican votes for Senators and the number of consultants in Louisiana but also serves as a testament to the power of quantitative analysis in unravelling societal phenomena.
Furthermore, we must not overlook the potential comedic elements that emerge from our findings. As consultants and senators walk into a statistical model, one cannot help but ponder the punchline that awaits. Our research not only sheds light on the connection between political preferences and the demand for professional expertise but also hints at the potential for a new genre of stand-up comedy: "The Statistical Economist Walks into a Bar."
In the pursuit of knowledge, it is essential to traverse the realms of science and mathematics, but it is equally important to sprinkle in a dash of humor and levity. Our investigation, with its fusion of political science, economics, and a touch of wit, seeks to unravel the mysteries of consultant creep in Louisiana and inspire a new wave of observational humor within the realm of social science. Join us as we embark on this illuminating journey, not only to expand our understanding of the political economy but also to inject a bit of statistical whimsy into the scholarly discourse.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our investigation revealed a striking correlation between Republican votes for Senators in Louisiana and the number of consultants in the state from 2003 to 2020. The correlation coefficient of 0.9531862 highlights a tantalizing connection between political preferences and the demand for professional expertise. It's as if consultants and senators have been engaged in a statistical tango, dancing to the beat of electoral outcomes and economic activity.

To illustrate this captivating relationship, we present the scatterplot in Fig. 1, a visual representation of the strong correlation between these variables. The data points on the plot practically form a line that could make even the most steadfast statistician raise an eyebrow in admiration.

Our rigorous statistical analysis also yielded an r-squared value of 0.9085639, emphasizing the robustness of this relationship. The sheer explanatory power of this correlation brings to mind the age-old question: What came first, the consultant or the vote? Well, according to our results, it seems that the answer is a resounding "Yes!"

We have meticulously navigated the labyrinth of quantitative analysis, and our findings not only shed light on the intersection of political leanings and labor market dynamics but also pave the way for a hint of observational humor. It's as if our statistical model has become the stage for a political-economic comedy show, with senators and consultants entering to raucous applause from the data points.

In conclusion, our results underscore the intricate connection between Republican votes for Senators and the number of consultants in Louisiana, emphasizing the need for multidisciplinary perspectives in uncovering the whims of statistical patterns and the dance of political economy. This groundbreaking research doesn't just add a new layer to our understanding of the Louisiana political landscape; it injects a dose of statistical whimsy into the scholarly discourse, proving that even in the world of social science, a bit of levity can go a long way.


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 Louisiana and The number of consultants in Louisiana. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana"

[[ABSTRACT]]
In this research paper, we present the findings of our investigation into the correlation between the number of consultants in Louisiana and Republican votes for Senators. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics, our research team diligently delved into this perplexing correlation to shed light on a potential relationship that has long evaded scrutiny. Our analysis yielded a correlation coefficient of 0.9531862 and a significance level of p < 0.01 for the years 2003 to 2020. Through our rigorous examination, we concurrently discovered the potential influence of political alignment on the economy and labor market, providing insights into the underlying dynamics that intertwine politics and the professional consultant landscape.

Our investigation not only illuminates a statistically robust relationship between these variables but also paves the way for a new era of observational humor, where consultants and senators walk into a statistical model... But in all seriousness, our findings underscore the interplay between political preferences and the demand for professional expertise, offering a data-driven glimpse into the peculiar dance of ideology and economic activity in the bayou state. This research not only expands our understanding of the political economy but also underscores the need for nuanced analysis that brings together political science, economics, and a dash of whimsy in the pursuit of knowledge.

[[LITERATURE REVIEW]]
In their study, Smith et al. (2015) examined the influence of political affiliations on economic trends, highlighting the intricate web of connections that underpin the fusion of politics and professional expertise in Louisiana. Their comprehensive analysis illuminated the potential impact of Republican votes for Senators on the demand for consultants, setting the stage for further exploration into this captivating correlation. This study echoed the sentiment that when it comes to the relationship between politics and the economy, one must always consider the consultants in the room.
Doe and Jones (2017) delved into the labor market dynamics in Louisiana, delving into the ever-growing presence of consultants and their potential ties to political preferences. Their findings revealed an intriguing dance between Republican votes for Senators and the burgeoning consultant landscape, hinting at a symbiotic relationship that transcends mere statistical significance and ventures into the realm of data-driven intrigue.
Turning to the broader literature, "The Political Economy of Louisiana: A Comprehensive Analysis" by A. Author (2019) provides a panoramic view of the economic and political landscape in Louisiana, offering insights into the multifaceted interactions that shape the state's professional expertise demands. Meanwhile, "Bayou Blues: Exploring Louisiana's Economic Quirks" by B. Blogger (2020) presents a compelling narrative of the economic idiosyncrasies of Louisiana, perhaps touching upon the nuances of consultant influence in the state.
In a more unconventional turn, the fictional works "Bayou Boondoggle: A Senator's Struggle" by C. Creative (2018) and "The Consultant Conundrum: A Tale of Louisiana Politics" by D. Dreamer (2016) offer imaginative insights into the whimsical interplay between political dynamics and the enigmatic world of consultants in the bayou state.
As part of our rigorous research process, the team immersed themselves in the realm of television, exploring shows such as "The Bayou Consultants" and "Political Puzzles: Unraveling Louisiana's Senate Votes". While these TV shows may not be grounded in empirical research, they provided a unique lens through which to perceive the intricate relationship between Republican votes for Senators and the surging presence of consultants in Louisiana.
Now, if only there was a reality TV show titled "Senatorial Survivor: Consultant Edition" where contestants navigate the complexities of political allegiance and professional expertise in the Louisiana swamps. Alas, a researcher can dream.
Stay tuned as we unravel the correlation between consultants and Republican votes in Louisiana, and perhaps stumble upon a few statistical punchlines along the way.

[[RESULTS]]
The results of our investigation revealed a striking correlation between Republican votes for Senators in Louisiana and the number of consultants in the state from 2003 to 2020. The correlation coefficient of 0.9531862 highlights a tantalizing connection between political preferences and the demand for professional expertise. It's as if consultants and senators have been engaged in a statistical tango, dancing to the beat of electoral outcomes and economic activity.
To illustrate this captivating relationship, we present the scatterplot in Fig. 1, a visual representation of the strong correlation between these variables. The data points on the plot practically form a line that could make even the most steadfast statistician raise an eyebrow in admiration.
Our rigorous statistical analysis also yielded an r-squared value of 0.9085639, emphasizing the robustness of this relationship. The sheer explanatory power of this correlation brings to mind the age-old question: What came first, the consultant or the vote? Well, according to our results, it seems that the answer is a resounding "Yes!"
We have meticulously navigated the labyrinth of quantitative analysis, and our findings not only shed light on the intersection of political leanings and labor market dynamics but also pave the way for a hint of observational humor. It's as if our statistical model has become the stage for a political-economic comedy show, with senators and consultants entering to raucous applause from the data points.
In conclusion, our results underscore the intricate connection between Republican votes for Senators and the number of consultants in Louisiana, emphasizing the need for multidisciplinary perspectives in uncovering the whims of statistical patterns and the dance of political economy. This groundbreaking research doesn't just add a new layer to our understanding of the Louisiana political landscape; it injects a dose of statistical whimsy into the scholarly discourse, proving that even in the world of social science, a bit of levity can go a long way.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The correlation we have unearthed between Republican votes for Senators in Louisiana and the number of consultants in the state has opened a Pandora's box of questions and insights. Our results resonate with the work of Smith et al. (2015) and Doe and Jones (2017), who, while approaching the consultant-senator relationship with utmost seriousness, inadvertently fueled our imagining of consultants and senators engaged in a lively jig of statistical significance.

Smith et al.'s illuminating study laid the groundwork for our exploration, much like the way consultants lay the groundwork for informed decision-making – or perhaps the way senators lay the groundwork for, well, legislation. Doe and Jones, in their foray into the intertwining corridors of labor market dynamics and political leanings, unraveled a dance between Republican votes and the burgeoning consultant landscape, much like an intricate ballroom performance – with consultants deftly maneuvering between data sets and senators executing graceful statistical maneuvers.

Our findings not only align with these previous studies but also verify the presence of a robust correlation between political inclinations and the professional expertise market in Louisiana. The statistical tango of consultants and senators is not merely a whimsical notion but a tangible interplay captured by our data. It's as if the statistical stage has been set for an enthralling political-economic ballet, with consultants and senators waltzing to the rhythm of electoral outcomes and labor market demands.

This correlation, with its r-squared value akin to a resounding applause from the data points, emphasizes the significance of nuanced, multidisciplinary analysis in untangling the enigmatic relationship between political preferences and the demand for consulting services. Our study not only bridges the gap between political science and economics but also tiptoes into the realm of observational humor and statistical whimsy, presenting a new lens through which to perceive the political economy of Louisiana.

The robustness of our findings serves as a testament to the potential impact of political alignment on economic activity and professional expertise demands. As we move forward in the pursuit of knowledge, we invite our colleagues to join us in this whimsical statistical waltz, where consultants and senators gracefully navigate the expanse of our data sets, unfurling a narrative of statistical significance in the bayou state - a narrative that is as intriguing as it is statistically sound.

In essence, our results not only validate the presence of a captivating correlation, but also elevate the scholarly discourse by infusing it with a dose of statistical humor. After all, in the world of social science, why should consultants and senators have all the fun in the data dance?


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 Louisiana and The number of consultants in Louisiana. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana"

[[ABSTRACT]]
In this research paper, we present the findings of our investigation into the correlation between the number of consultants in Louisiana and Republican votes for Senators. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics, our research team diligently delved into this perplexing correlation to shed light on a potential relationship that has long evaded scrutiny. Our analysis yielded a correlation coefficient of 0.9531862 and a significance level of p < 0.01 for the years 2003 to 2020. Through our rigorous examination, we concurrently discovered the potential influence of political alignment on the economy and labor market, providing insights into the underlying dynamics that intertwine politics and the professional consultant landscape.

Our investigation not only illuminates a statistically robust relationship between these variables but also paves the way for a new era of observational humor, where consultants and senators walk into a statistical model... But in all seriousness, our findings underscore the interplay between political preferences and the demand for professional expertise, offering a data-driven glimpse into the peculiar dance of ideology and economic activity in the bayou state. This research not only expands our understanding of the political economy but also underscores the need for nuanced analysis that brings together political science, economics, and a dash of whimsy in the pursuit of knowledge.

[[INTRDUCTION]]
The intertwining complexities of political landscapes and economic principles have long captivated the minds of researchers and academics. Within this rich tapestry of interdisciplinary inquiry, a peculiar relationship has been brought to light: the correlation between Republican votes for Senators in Louisiana and the number of consultants in the state. This thought-provoking connection has not only raised eyebrows but has also elicited chuckles as we endeavor to unearth the underlying dynamics through a lens of statistical scrutiny and a touch of whimsy.
Harkening back to the whimsical nature of our title, "Consultant Creep", we are reminded of the old adage, "Why did the statistician go to art school? Because he wanted to study the humanities side of the equation." Indeed, our research has sought to bridge the gap between the seemingly disparate fields of political science and labor economics, and while we may not be studying the arts, we are certainly painting a picture of correlations and coefficients across the canvas of our data.
As we embark on this scholarly endeavor, we are reminded of the age-old riddle: Which came first, the consultant or the vote? While this may not rival the enigma of the chicken and the egg, it certainly provides fertile ground for exploration. Our investigation has led us through the corridors of data from the MIT Election Data and Science Lab, where we meticulously combed through the numbers, not unlike a statistical Sherlock Holmes on the trail of a curious case.
The correlation coefficient of 0.9531862 that emerged from our analysis may not rival the speed of light, but in the realm of social science research, it shines brightly as a beacon of significance. As researchers, we have often been asked, "Is your data significant?" To which we now respond, "Why yes, it is statistically significant with a p-value less than 0.01." This finding not only elucidates the strength of the relationship between Republican votes for Senators and the number of consultants in Louisiana but also serves as a testament to the power of quantitative analysis in unravelling societal phenomena.
Furthermore, we must not overlook the potential comedic elements that emerge from our findings. As consultants and senators walk into a statistical model, one cannot help but ponder the punchline that awaits. Our research not only sheds light on the connection between political preferences and the demand for professional expertise but also hints at the potential for a new genre of stand-up comedy: "The Statistical Economist Walks into a Bar."
In the pursuit of knowledge, it is essential to traverse the realms of science and mathematics, but it is equally important to sprinkle in a dash of humor and levity. Our investigation, with its fusion of political science, economics, and a touch of wit, seeks to unravel the mysteries of consultant creep in Louisiana and inspire a new wave of observational humor within the realm of social science. Join us as we embark on this illuminating journey, not only to expand our understanding of the political economy but also to inject a bit of statistical whimsy into the scholarly discourse.

[[RESULTS]]
The results of our investigation revealed a striking correlation between Republican votes for Senators in Louisiana and the number of consultants in the state from 2003 to 2020. The correlation coefficient of 0.9531862 highlights a tantalizing connection between political preferences and the demand for professional expertise. It's as if consultants and senators have been engaged in a statistical tango, dancing to the beat of electoral outcomes and economic activity.
To illustrate this captivating relationship, we present the scatterplot in Fig. 1, a visual representation of the strong correlation between these variables. The data points on the plot practically form a line that could make even the most steadfast statistician raise an eyebrow in admiration.
Our rigorous statistical analysis also yielded an r-squared value of 0.9085639, emphasizing the robustness of this relationship. The sheer explanatory power of this correlation brings to mind the age-old question: What came first, the consultant or the vote? Well, according to our results, it seems that the answer is a resounding "Yes!"
We have meticulously navigated the labyrinth of quantitative analysis, and our findings not only shed light on the intersection of political leanings and labor market dynamics but also pave the way for a hint of observational humor. It's as if our statistical model has become the stage for a political-economic comedy show, with senators and consultants entering to raucous applause from the data points.
In conclusion, our results underscore the intricate connection between Republican votes for Senators and the number of consultants in Louisiana, emphasizing the need for multidisciplinary perspectives in uncovering the whims of statistical patterns and the dance of political economy. This groundbreaking research doesn't just add a new layer to our understanding of the Louisiana political landscape; it injects a dose of statistical whimsy into the scholarly discourse, proving that even in the world of social science, a bit of levity can go a long way.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unveiled a captivating correlation between Republican votes for Senators in Louisiana and the number of consultants in the state. This statistically significant relationship lends itself to a myriad of quirky interpretations and opens the door to a whimsical world where senators and consultants engage in a spirited statistical dance.

Our findings not only highlight the intertwined nature of political preferences and the demand for professional expertise but also offer a springboard for a potential fusion of stand-up comedy and statistical analysis. Picture this: a consultant walks into a bar chart, and the punchline practically writes itself.

With an r-squared value of 0.9085639, our results emphasize the robustness of this correlation, akin to a sturdy statistical bridge connecting the realms of politics and the labor market. The data practically sings a duet, with consultants harmonizing with the electoral sway of Senators, creating a statistical symphony that could rival even the most grandiose of economic concertos.

As we reflect on the implications of our research, one cannot help but recall the quizzical nature of statistical phenomena, leaving us pondering whether it's the consultant or the vote that takes the lead in this statistical tango. Our study not only underscores the need for interdisciplinary analysis but also reminds us that even in the world of social science, a bit of levity can go a long way in illuminating the deeper patterns of societal dynamics.

In the spirit of lighthearted inquiry and statistical whimsy, we assert that no further research is needed in this area, as our findings have not only provided valuable insights but have also injected a touch of scholarly humor into the rich tapestry of academic discourse. After all, in the words of Sir Isaac Newton, "If I have seen further, it is because I was standing on the shoulders of statistical jesters."

And with that, let us bid adieu to our statistical merriment, until the data beckons us to dance once more.


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 Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political Consultancy and Statistical Analysis


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 Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Southern Political Puzzles


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 Consultant Creep: The Correlation Between Republican Votes for Senators in Louisiana and the Number of Consultants in Louisiana with an abstract of In this research paper, we present the findings of our investigation into the correlation between the number of consultants in Louisiana and Republican votes for Senators. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics, our research team diligently delved into this perplexing correlation to shed light on a potential relationship that has long evaded scrutiny. Our analysis yielded a correlation coefficient of 0.9531862 and a significance level of p < 0.01 for the years 2003 to 2020. Through our rigorous examination, we concurrently discovered the potential influence of political alignment on the economy and labor market, providing insights into the underlying dynamics that intertwine politics and the professional consultant landscape.
Our investigation not only illuminates a statistically robust relationship between these variables but also paves the way for a new era of observational humor, where consultants and senators walk into a statistical model... But in all seriousness, our findings underscore the interplay between political preferences and the demand for professional expertise, offering a data-driven glimpse into the peculiar dance of ideology and economic activity in the bayou state. This research not only expands our understanding of the political economy but also underscores the need for nuanced analysis that brings together political science, economics, and a dash of whimsy in the pursuit of knowledge.

ChatGPT:

consultant, Louisiana, Republican votes, correlation, Senators, MIT Election Data and Science Lab, Harvard Dataverse, Bureau of Labor Statistics, political alignment, economy, labor market, statistical model, political preferences, professional expertise, ideology, economic activity, political economy, Louisiana consultants, data analysis

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



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Data details

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

The number of consultants in Louisiana
Detailed data title: BLS estimate of management analysts in Louisiana
Source: Bureau of Larbor Statistics
See what else correlates with The number of consultants in Louisiana

Correlation r = 0.9531862 (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 = 0.9085639 (Coefficient of determination)
This means 90.9% of the change in the one variable (i.e., The number of consultants in Louisiana) is predictable based on the change in the other (i.e., Votes for Republican Senators in Louisiana) over the 6 years from 2003 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0032. 0.0032360003180349580000000000
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 0.95 in 0.32% of random cases. Said differently, if you correlated 309 random variables Which I absolutely did.
with the same 5 degrees of freedom, 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.

[ 0.63, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
200420082010201420162020
Votes for Republican Senators in Louisiana (Percentage of votes)51.027445.723356.554854.754762.060861.1762
The number of consultants in Louisiana (Management Analysts)272020902830319036003570




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([51.0274,45.7233,56.5548,54.7547,62.0608,61.1762,])
array_2 = np.array([2720,2090,2830,3190,3600,3570,])
array_1_name = "Votes for Republican Senators in Louisiana"
array_2_name = "The number of consultants in Louisiana"

# 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. 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.

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Correlation ID: 4483 · Black Variable ID: 26395 · Red Variable ID: 8606
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