Spurious correlation #3,685 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Culinary Associates degrees awarded and the second variable is Burglaries in West Virginia. The chart goes from 2011 to 2021, 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 Culinary Associates degrees awarded and the second variable is Burglaries in West Virginia. The chart goes from 2011 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of Associates degrees awarded in Culinary, entertainment, and personal services decreased, there were fewer aspiring chefs and entertainers entering the job market. This led to a sudden shortage of talented individuals to host elaborate dinner parties and perform at swanky events. With the entertainment and personal services sector taking a hit, burglars in West Virginia found themselves out of work, as there were fewer high-end homes to target for their next big heist. After all, why break into a house with mediocre microwave dinners and no live entertainment, when they could hold out for a lavish culinary experience and a private concert? It seems like the real crime here was the lack of flavorful dishes and show-stopping performances to keep the burglars entertained and well-fed! Who knew that the key to reducing burglaries in West Virginia lay in the sizzling skills of culinary and entertainment graduates, leaving the burglars with no choice but to hang up their black ski masks and pursue more legitimate careers in the world of fine dining and showbiz! It's a classic case of 'if you can't stand the heat, stay out of the burglary business!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image that resembles a still from a Disney movie, wherein a vibrant and bustling kitchen setting is depicted. In the foreground, several students are joyfully receiving their Associates degrees in Culinary, entertainment, and personal services. The kitchen exudes an atmosphere of achievement and celebration. Meanwhile, in the background, a group of burglars roam aimlessly in a quaint West Virginia setting, scratching their heads in confusion as they realize the lack of potential targets. The contrast between the jubilant scene in the kitchen and the perplexed burglars in the distant background should be highlighted, evoking a sense of whimsy and intrigue. 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: Associates degrees awarded in Culinary, entertainment, and personal services and Burglaries in West Virginia. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Cyber folk a funny image macro An image that looks like it is a scene from A Disney Movie An image that looks like it is a scene from a Pixar movie Oragami
ChatGPT: An image that looks like it is a scene from A Disney Movie

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 Associates degrees awarded in Culinary, entertainment, and personal services and Burglaries in West Virginia, in the following situation: Because with fewer people getting culinary degrees, there are fewer master "chefs" and "thieves" in West Virginia. It seems they've all traded in their knives for careers that are a bit less risky. Looks like the state can breathe a sigh of relief – their security system is no longer in "soup"!. Keep the description simple.
ChatGPT: In a bustling kitchen, several students proudly receive their Associates degrees in Culinary, entertainment, and personal services. Meanwhile, in the background, a group of burglars roam aimlessly in West Virginia, scratching their heads in confusion as they realize the lack of potential targets.

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: [ An image that looks like it is a scene from A Disney Movie ] and depicting this scene: In a bustling kitchen, several students proudly receive their Associates degrees in Culinary, entertainment, and personal services. Meanwhile, in the background, a group of burglars roam aimlessly in West Virginia, scratching their heads in confusion as they realize the lack of potential targets. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that resembles a still from a Disney movie, wherein a vibrant and bustling kitchen setting is depicted. In the foreground, several students are joyfully receiving their Associates degrees in Culinary, entertainment, and personal services. The kitchen exudes an atmosphere of achievement and celebration. Meanwhile, in the background, a group of burglars roam aimlessly in a quaint West Virginia setting, scratching their heads in confusion as they realize the lack of potential targets. The contrast between the jubilant scene in the kitchen and the perplexed burglars in the distant background should be highlighted, evoking a sense of whimsy and intrigue.

*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 a decrease in Associates degrees awarded in Culinary, entertainment, and personal services caused Burglaries in West Virginia to decrease.

AI academic paper

(Because p < 0.01)

The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia

The Journal of Gastronomic Criminology

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 dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Culinary Associates degrees awarded and Burglaries in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia

[[ABSTRACT]]
This paper presents the findings of a rigorous investigation into the curious connection between the number of Culinary Associates degrees awarded and the incidence of burglaries in the picturesque hills of West Virginia. Utilizing data from the National Center for Education Statistics and FBI Criminal Justice Information Services, our research team delved into this deliciously perplexing conundrum.

Our analysis revealed a remarkably high correlation coefficient of 0.9830590 and a remarkable p-value of less than 0.01 for the years 2011 to 2021. It seems that as the number of culinary degrees sizzled and rose, so did the number of burglary cases on the side. This finding may leave one feeling quite "grated," indeed!

Despite the seemingly salivating statistical relationship, one must approach this correlation with caution, just like using a sharp knife in the kitchen. Correlation, after all, does not imply causation, and there may well be other factors at play in this saucy situation. However, we hope this study ignites a flame of curiosity in the field of culinary education and crime research. After all, one cannot resist the aroma of a good statistical mystery!

In conclusion, this research provides intriguing insights into the curious relationship between culinary education and crime in West Virginia. It leaves plenty of food for thought and might just inspire some to apply a bit more "seasoning" to their future research endeavors.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The study of human behavior and societal phenomena can sometimes lead us to unexpected and puzzling correlations. Much like trying to find the right ingredients for a recipe, researchers often find themselves stirring up unexpected connections between variables.
As we embarked on our investigation into the relationship between Culinary Associates degrees and burglaries in West Virginia, it became clear that we were about to step into a hodgepodge of statistical unpredictability. Little did we know, the "heat" was on to uncover the sizzling truth behind this curious association.
Culinary education has long been regarded as a pathway to delectable careers, but could there be a darker, more savory side to this pursuit? We aimed to peel back the layers of statistical data and reveal whether there was more to this connection than meets the eye. It turns out, there's a lot at "steak" in this analysis!
With the scent of statistical significance in the air, our investigation aimed to slice through the data to determine whether there was a robust link between the number of culinary degrees awarded and the incidence of burglaries in the Mountain State. We found ourselves carefully sifting through the data, much like a chef meticulously sieving flour for the perfect soufflé.
Our findings, like a perfectly timed punchline, revealed a surprisingly high correlation coefficient and p-value that were enough to make even the most skeptical researcher raise an eyebrow. It was almost as if the universe was serving us a statistical "appetizer" before the main course of our analysis.
However, as any seasoned researcher knows, correlation does not necessarily imply causation. We couldn't help but think of the old adage, "just because there's a correlation doesn't mean you should jump to conclusions like a cat on a hot tin roof." Thus, we approached our results with the caution and skepticism of a connoisseur sampling a new dish.
As we dish up the details of our research in the pages that follow, we hope this investigation serves as a beacon for future studies in the realm of culinary education and crime. It's a reminder that, much like preparing a complex meal or conducting intricate research, there's always more to the story than meets the eye – and sometimes, a sprinkle of humor can add just the right flavor!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Smith and Doe," the researchers examine the correlation between the awarding of Culinary Associates degrees and the occurrence of burglaries in the rural areas of West Virginia. Their findings suggest a positive relationship between the two variables, raising questions about potential social and economic implications. This may make one wonder, what's the best way to catch a burglar? "Use a burglar-net!"

Another study by Jones et al. explores the potential impact of culinary education on criminal activity, drawing from a sample of West Virginia counties. Their analysis uncovers a notable association between the number of culinary degrees awarded and the frequency of burglaries. It seems that as culinary aspirations rise, so do burglary rates – a truly "bizarre-goon" of statistics!

Furthermore, in "Culinary Chronicles: A Study of Degrees and Dishonesty," the authors delve into the historical context of culinary education and its link to criminal behavior. They posit that the pursuit of culinary expertise may inadvertently contribute to a rise in illicit activities, creating a peculiar "recipe for trouble."

Turning to non-fiction literature, "Mastering the Art of Burglary: A Culinary Crime Saga" provides a gripping account of culinary aficionados turned burglars, blurring the lines between gastronomic passion and criminal pursuits. On a lighter note, "The Joy of Cooking Up Trouble" offers a humorous take on the unexpected consequences of culinary skills in the realm of law enforcement.

Venturing into the realm of fiction, "The Burglar's Cookbook: Recipes for Heists and Hot Dishes" offers a thrilling narrative of culinary capers and clandestine adventures, where the protagonist utilizes culinary knowledge to orchestrate elaborate heists. Additionally, "Gourmet Grifting: A Culinary Crime Comedy" presents a whimsical tale of a culinary school graduate embroiled in a humorous series of burglary mishaps, eliciting laughter amidst peculiar escapades.

Finally, drawing from unorthodox sources, the back of various shampoo bottles surprisingly yields insights into the correlation between artisanal hair care products and culinary education. These unlikely discoveries prompt contemplation on the interconnectedness of seemingly unrelated domains, leaving one to ponder, "What do you call a stolen yam? A hot potato!"

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Culinary Associates degrees awarded and Burglaries in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and FBI Criminal Justice Information Services . You used data from 2011 to 2021

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia

[[ABSTRACT]]
This paper presents the findings of a rigorous investigation into the curious connection between the number of Culinary Associates degrees awarded and the incidence of burglaries in the picturesque hills of West Virginia. Utilizing data from the National Center for Education Statistics and FBI Criminal Justice Information Services, our research team delved into this deliciously perplexing conundrum.

Our analysis revealed a remarkably high correlation coefficient of 0.9830590 and a remarkable p-value of less than 0.01 for the years 2011 to 2021. It seems that as the number of culinary degrees sizzled and rose, so did the number of burglary cases on the side. This finding may leave one feeling quite "grated," indeed!

Despite the seemingly salivating statistical relationship, one must approach this correlation with caution, just like using a sharp knife in the kitchen. Correlation, after all, does not imply causation, and there may well be other factors at play in this saucy situation. However, we hope this study ignites a flame of curiosity in the field of culinary education and crime research. After all, one cannot resist the aroma of a good statistical mystery!

In conclusion, this research provides intriguing insights into the curious relationship between culinary education and crime in West Virginia. It leaves plenty of food for thought and might just inspire some to apply a bit more "seasoning" to their future research endeavors.

[[INTRODUCTION]]
The study of human behavior and societal phenomena can sometimes lead us to unexpected and puzzling correlations. Much like trying to find the right ingredients for a recipe, researchers often find themselves stirring up unexpected connections between variables.
As we embarked on our investigation into the relationship between Culinary Associates degrees and burglaries in West Virginia, it became clear that we were about to step into a hodgepodge of statistical unpredictability. Little did we know, the "heat" was on to uncover the sizzling truth behind this curious association.
Culinary education has long been regarded as a pathway to delectable careers, but could there be a darker, more savory side to this pursuit? We aimed to peel back the layers of statistical data and reveal whether there was more to this connection than meets the eye. It turns out, there's a lot at "steak" in this analysis!
With the scent of statistical significance in the air, our investigation aimed to slice through the data to determine whether there was a robust link between the number of culinary degrees awarded and the incidence of burglaries in the Mountain State. We found ourselves carefully sifting through the data, much like a chef meticulously sieving flour for the perfect soufflé.
Our findings, like a perfectly timed punchline, revealed a surprisingly high correlation coefficient and p-value that were enough to make even the most skeptical researcher raise an eyebrow. It was almost as if the universe was serving us a statistical "appetizer" before the main course of our analysis.
However, as any seasoned researcher knows, correlation does not necessarily imply causation. We couldn't help but think of the old adage, "just because there's a correlation doesn't mean you should jump to conclusions like a cat on a hot tin roof." Thus, we approached our results with the caution and skepticism of a connoisseur sampling a new dish.
As we dish up the details of our research in the pages that follow, we hope this investigation serves as a beacon for future studies in the realm of culinary education and crime. It's a reminder that, much like preparing a complex meal or conducting intricate research, there's always more to the story than meets the eye – and sometimes, a sprinkle of humor can add just the right flavor!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The data for this study was collected from the National Center for Education Statistics and the FBI Criminal Justice Information Services. The number of Culinary Associates degrees awarded was obtained from the Integrated Postsecondary Education Data System (IPEDS), while the incidence of burglaries in West Virginia was extracted from the FBI's Uniform Crime Reporting (UCR) program. The years 2011 to 2021 were selected for analysis, providing a substantial time frame to capture any potential trends or fluctuations in the variables of interest.

To process this array of data, our research team utilized statistical software to conduct a thorough analysis. This began with the calculation of descriptive statistics, giving us a digestible summary of the central tendencies, dispersion, and shape of the distribution of our variables. It was as if we were "whisking" together the ingredients of our data, hoping the results wouldn't "fold" under pressure!

To assess the strength and direction of the relationship between the number of Culinary Associates degrees and the incidence of burglaries, we employed Pearson's correlation coefficient. This allowed us to quantify the degree to which the variables moved in relation to each other, akin to determining whether the eggs and flour in a cake recipe blend seamlessly or clump in an unappetizing manner.

Having acquired the correlation coefficient, a test of statistical significance was carried out to evaluate the probability of observing such a relationship by mere chance. This involved calculating the p-value, which, upon analysis, revealed whether the observed correlation was substantial enough to pique our scholarly taste buds.

Furthermore, to supplement the correlation analysis, a time series analysis was performed to appraise any temporal patterns or seasonality in the data. It was as if we were attempting to discern whether the variables danced a culinary tango or engaged in a cat burglary caper over the years.

To ensure the robustness and reliability of our findings, sensitivity analyses were conducted, exploring different time frames and variable definitions to ascertain the consistency of the observed associations. It was akin to tasting a dish multiple times to gauge its consistency and detect any fleeting flavors that might sway our interpretation.

Lastly, the potential influence of confounding variables was considered through a series of stratified analyses and multivariable regressions. This allowed us to control for plausible alternative explanations and prevent drawing hasty conclusions, much like ensuring that a good marinade doesn't overpower the natural flavors of a dish.

In culmination, our methodology involved a blend of quantitative techniques, seasoning the analysis with a pinch of scientific rigor and a dash of statistical inquiry. This approach enabled us to investigate the savory connection between culinary education and crime in West Virginia with the methodological precision required to serve up reliable and meaningful results.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Culinary Associates degrees awarded and Burglaries in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and FBI Criminal Justice Information Services .

For the time period 2011 to 2021, you found a correlation 0.9830590, r-squared of 0.9664049, and p < 0.01.

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

Here is the title and abstract of the paper:
[[TITLE]]
The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia

[[ABSTRACT]]
This paper presents the findings of a rigorous investigation into the curious connection between the number of Culinary Associates degrees awarded and the incidence of burglaries in the picturesque hills of West Virginia. Utilizing data from the National Center for Education Statistics and FBI Criminal Justice Information Services, our research team delved into this deliciously perplexing conundrum.

Our analysis revealed a remarkably high correlation coefficient of 0.9830590 and a remarkable p-value of less than 0.01 for the years 2011 to 2021. It seems that as the number of culinary degrees sizzled and rose, so did the number of burglary cases on the side. This finding may leave one feeling quite "grated," indeed!

Despite the seemingly salivating statistical relationship, one must approach this correlation with caution, just like using a sharp knife in the kitchen. Correlation, after all, does not imply causation, and there may well be other factors at play in this saucy situation. However, we hope this study ignites a flame of curiosity in the field of culinary education and crime research. After all, one cannot resist the aroma of a good statistical mystery!

In conclusion, this research provides intriguing insights into the curious relationship between culinary education and crime in West Virginia. It leaves plenty of food for thought and might just inspire some to apply a bit more "seasoning" to their future research endeavors.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The study of human behavior and societal phenomena can sometimes lead us to unexpected and puzzling correlations. Much like trying to find the right ingredients for a recipe, researchers often find themselves stirring up unexpected connections between variables.
As we embarked on our investigation into the relationship between Culinary Associates degrees and burglaries in West Virginia, it became clear that we were about to step into a hodgepodge of statistical unpredictability. Little did we know, the "heat" was on to uncover the sizzling truth behind this curious association.
Culinary education has long been regarded as a pathway to delectable careers, but could there be a darker, more savory side to this pursuit? We aimed to peel back the layers of statistical data and reveal whether there was more to this connection than meets the eye. It turns out, there's a lot at "steak" in this analysis!
With the scent of statistical significance in the air, our investigation aimed to slice through the data to determine whether there was a robust link between the number of culinary degrees awarded and the incidence of burglaries in the Mountain State. We found ourselves carefully sifting through the data, much like a chef meticulously sieving flour for the perfect soufflé.
Our findings, like a perfectly timed punchline, revealed a surprisingly high correlation coefficient and p-value that were enough to make even the most skeptical researcher raise an eyebrow. It was almost as if the universe was serving us a statistical "appetizer" before the main course of our analysis.
However, as any seasoned researcher knows, correlation does not necessarily imply causation. We couldn't help but think of the old adage, "just because there's a correlation doesn't mean you should jump to conclusions like a cat on a hot tin roof." Thus, we approached our results with the caution and skepticism of a connoisseur sampling a new dish.
As we dish up the details of our research in the pages that follow, we hope this investigation serves as a beacon for future studies in the realm of culinary education and crime. It's a reminder that, much like preparing a complex meal or conducting intricate research, there's always more to the story than meets the eye – and sometimes, a sprinkle of humor can add just the right flavor!

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of the relationship between Culinary Associates degrees awarded and burglaries in West Virginia revealed a strikingly high correlation coefficient of 0.9830590. This significant correlation suggests a strong positive association between the number of culinary degrees awarded and the incidence of burglaries in the state. One might say this correlation was so sharp, it could grate cheese!

The r-squared value of 0.9664049 indicates that approximately 96.64% of the variability in the incidence of burglaries can be explained by the number of Culinary Associates degrees awarded. This statistic uncovers a robust link between these seemingly unrelated variables, leaving us to ponder the deeper layers of this statistical "soufflé."

The p-value of less than 0.01 further solidifies the strength of the relationship found in our analysis. This p-value is so low, it's as if the data itself was serving us a platter of statistical significance. Such a low p-value suggests that the observed correlation is highly unlikely to have occurred by chance, leaving us with a statistical conundrum that's as perplexing as finding the missing ingredient in a recipe.

The scatterplot (Fig. 1) visually demonstrates the strong positive correlation between the number of Culinary Associates degrees awarded and the incidence of burglaries in West Virginia. This relationship is as clear as day, like the perfect recipe for a delicious dish.

In light of these compelling results, it is essential to approach this correlation with caution and skepticism. While the statistical connection between culinary education and burglaries may leave us with a taste for further exploration, it is crucial to remember that correlation does not imply causation. Just as with cooking, there may be additional variables at play in this statistical "kitchen."

In summary, the findings of this study unveil an unexpected statistical relationship between culinary education and crime in the hills of West Virginia. This correlation provides food for thought for future research endeavors, reminding us that sometimes, the most unlikely pairings can lead to the most intriguing discoveries.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Culinary Associates degrees awarded and Burglaries in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia

[[ABSTRACT]]
This paper presents the findings of a rigorous investigation into the curious connection between the number of Culinary Associates degrees awarded and the incidence of burglaries in the picturesque hills of West Virginia. Utilizing data from the National Center for Education Statistics and FBI Criminal Justice Information Services, our research team delved into this deliciously perplexing conundrum.

Our analysis revealed a remarkably high correlation coefficient of 0.9830590 and a remarkable p-value of less than 0.01 for the years 2011 to 2021. It seems that as the number of culinary degrees sizzled and rose, so did the number of burglary cases on the side. This finding may leave one feeling quite "grated," indeed!

Despite the seemingly salivating statistical relationship, one must approach this correlation with caution, just like using a sharp knife in the kitchen. Correlation, after all, does not imply causation, and there may well be other factors at play in this saucy situation. However, we hope this study ignites a flame of curiosity in the field of culinary education and crime research. After all, one cannot resist the aroma of a good statistical mystery!

In conclusion, this research provides intriguing insights into the curious relationship between culinary education and crime in West Virginia. It leaves plenty of food for thought and might just inspire some to apply a bit more "seasoning" to their future research endeavors.

[[LITERATURE REVIEW]]
In "Smith and Doe," the researchers examine the correlation between the awarding of Culinary Associates degrees and the occurrence of burglaries in the rural areas of West Virginia. Their findings suggest a positive relationship between the two variables, raising questions about potential social and economic implications. This may make one wonder, what's the best way to catch a burglar? "Use a burglar-net!"
Another study by Jones et al. explores the potential impact of culinary education on criminal activity, drawing from a sample of West Virginia counties. Their analysis uncovers a notable association between the number of culinary degrees awarded and the frequency of burglaries. It seems that as culinary aspirations rise, so do burglary rates – a truly "bizarre-goon" of statistics!
Furthermore, in "Culinary Chronicles: A Study of Degrees and Dishonesty," the authors delve into the historical context of culinary education and its link to criminal behavior. They posit that the pursuit of culinary expertise may inadvertently contribute to a rise in illicit activities, creating a peculiar "recipe for trouble."
Turning to non-fiction literature, "Mastering the Art of Burglary: A Culinary Crime Saga" provides a gripping account of culinary aficionados turned burglars, blurring the lines between gastronomic passion and criminal pursuits. On a lighter note, "The Joy of Cooking Up Trouble" offers a humorous take on the unexpected consequences of culinary skills in the realm of law enforcement.
Venturing into the realm of fiction, "The Burglar's Cookbook: Recipes for Heists and Hot Dishes" offers a thrilling narrative of culinary capers and clandestine adventures, where the protagonist utilizes culinary knowledge to orchestrate elaborate heists. Additionally, "Gourmet Grifting: A Culinary Crime Comedy" presents a whimsical tale of a culinary school graduate embroiled in a humorous series of burglary mishaps, eliciting laughter amidst peculiar escapades.
Finally, drawing from unorthodox sources, the back of various shampoo bottles surprisingly yields insights into the correlation between artisanal hair care products and culinary education. These unlikely discoveries prompt contemplation on the interconnectedness of seemingly unrelated domains, leaving one to ponder, "What do you call a stolen yam? A hot potato!"

[[RESULTS]]
The analysis of the relationship between Culinary Associates degrees awarded and burglaries in West Virginia revealed a strikingly high correlation coefficient of 0.9830590. This significant correlation suggests a strong positive association between the number of culinary degrees awarded and the incidence of burglaries in the state. One might say this correlation was so sharp, it could grate cheese!
The r-squared value of 0.9664049 indicates that approximately 96.64% of the variability in the incidence of burglaries can be explained by the number of Culinary Associates degrees awarded. This statistic uncovers a robust link between these seemingly unrelated variables, leaving us to ponder the deeper layers of this statistical "soufflé."
The p-value of less than 0.01 further solidifies the strength of the relationship found in our analysis. This p-value is so low, it's as if the data itself was serving us a platter of statistical significance. Such a low p-value suggests that the observed correlation is highly unlikely to have occurred by chance, leaving us with a statistical conundrum that's as perplexing as finding the missing ingredient in a recipe.
The scatterplot (Fig. 1) visually demonstrates the strong positive correlation between the number of Culinary Associates degrees awarded and the incidence of burglaries in West Virginia. This relationship is as clear as day, like the perfect recipe for a delicious dish.
In light of these compelling results, it is essential to approach this correlation with caution and skepticism. While the statistical connection between culinary education and burglaries may leave us with a taste for further exploration, it is crucial to remember that correlation does not imply causation. Just as with cooking, there may be additional variables at play in this statistical "kitchen."
In summary, the findings of this study unveil an unexpected statistical relationship between culinary education and crime in the hills of West Virginia. This correlation provides food for thought for future research endeavors, reminding us that sometimes, the most unlikely pairings can lead to the most intriguing discoveries.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study align with prior research examining the association between the awarding of Culinary Associates degrees and the occurrence of burglaries in West Virginia, shedding light on the unexpectedly flavorful correlation between culinary education and crime. Just as a well-crafted dish requires a delicate balance of ingredients, this research reveals the intricate interplay between seemingly unrelated variables. One might even say that this correlation is as surprising as finding a secret ingredient in a recipe – it adds a new layer of depth and intrigue.

The study by Smith and Doe, alongside the present investigation, indicates a positive relationship between the number of Culinary Associates degrees awarded and the frequency of burglaries in the rural areas of West Virginia. This compelling parallel may evoke a sense of both culinary curiosity and statistical inquisitiveness, akin to discovering a new recipe that defies conventional culinary wisdom. It seems that as culinary aspirations rise, so do burglary rates – a truly "bizarre-goon" of statistics, indeed!

Furthermore, the observed correlation is congruent with the work of Jones et al., as it reinforces the notion that the pursuit of culinary expertise may inadvertently contribute to a rise in illicit activities. The statistical "flavors" uncovered in this investigation, much like the complex layers of a well-crafted dish, invite further exploration and contemplation. It's as if each data point whispers a tantalizing secret, encouraging us to delve deeper into the nuanced relationship between culinary education and crime.

Despite the significant correlation unearthed in this study, it is important to approach this relationship with caution, just as one would handle a fragile soufflé. Correlation, as emphasized in the literature, does not imply causation. There may exist unaccounted-for factors that influence the observed statistical connection, much like the hidden influences that can transform a mundane dish into a culinary masterpiece. This caution reminds us that statistical relationships, much like the perfect balance of flavors in a dish, require thoughtful consideration and meticulous attention to detail.

In conclusion, the findings of this investigation add a dash of spice to the ongoing discourse surrounding the unexpected link between culinary education and crime in the hills of West Virginia. The correlation uncovered in this study, although peppered with statistical significance, warrants further exploration and scrutiny. Just as the most delectable dishes evolve through experimentation and refinement, so too should future research endeavors seek to unravel the complexities of this intriguing statistical "recipe." After all, as any seasoned chef – or statistician – knows, the most satisfying findings often arise from the most unexpected combinations.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Culinary Associates degrees awarded and Burglaries in West Virginia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia

[[ABSTRACT]]
This paper presents the findings of a rigorous investigation into the curious connection between the number of Culinary Associates degrees awarded and the incidence of burglaries in the picturesque hills of West Virginia. Utilizing data from the National Center for Education Statistics and FBI Criminal Justice Information Services, our research team delved into this deliciously perplexing conundrum.

Our analysis revealed a remarkably high correlation coefficient of 0.9830590 and a remarkable p-value of less than 0.01 for the years 2011 to 2021. It seems that as the number of culinary degrees sizzled and rose, so did the number of burglary cases on the side. This finding may leave one feeling quite "grated," indeed!

Despite the seemingly salivating statistical relationship, one must approach this correlation with caution, just like using a sharp knife in the kitchen. Correlation, after all, does not imply causation, and there may well be other factors at play in this saucy situation. However, we hope this study ignites a flame of curiosity in the field of culinary education and crime research. After all, one cannot resist the aroma of a good statistical mystery!

In conclusion, this research provides intriguing insights into the curious relationship between culinary education and crime in West Virginia. It leaves plenty of food for thought and might just inspire some to apply a bit more "seasoning" to their future research endeavors.

[[INTRDUCTION]]
The study of human behavior and societal phenomena can sometimes lead us to unexpected and puzzling correlations. Much like trying to find the right ingredients for a recipe, researchers often find themselves stirring up unexpected connections between variables.
As we embarked on our investigation into the relationship between Culinary Associates degrees and burglaries in West Virginia, it became clear that we were about to step into a hodgepodge of statistical unpredictability. Little did we know, the "heat" was on to uncover the sizzling truth behind this curious association.
Culinary education has long been regarded as a pathway to delectable careers, but could there be a darker, more savory side to this pursuit? We aimed to peel back the layers of statistical data and reveal whether there was more to this connection than meets the eye. It turns out, there's a lot at "steak" in this analysis!
With the scent of statistical significance in the air, our investigation aimed to slice through the data to determine whether there was a robust link between the number of culinary degrees awarded and the incidence of burglaries in the Mountain State. We found ourselves carefully sifting through the data, much like a chef meticulously sieving flour for the perfect soufflé.
Our findings, like a perfectly timed punchline, revealed a surprisingly high correlation coefficient and p-value that were enough to make even the most skeptical researcher raise an eyebrow. It was almost as if the universe was serving us a statistical "appetizer" before the main course of our analysis.
However, as any seasoned researcher knows, correlation does not necessarily imply causation. We couldn't help but think of the old adage, "just because there's a correlation doesn't mean you should jump to conclusions like a cat on a hot tin roof." Thus, we approached our results with the caution and skepticism of a connoisseur sampling a new dish.
As we dish up the details of our research in the pages that follow, we hope this investigation serves as a beacon for future studies in the realm of culinary education and crime. It's a reminder that, much like preparing a complex meal or conducting intricate research, there's always more to the story than meets the eye – and sometimes, a sprinkle of humor can add just the right flavor!

[[RESULTS]]
The analysis of the relationship between Culinary Associates degrees awarded and burglaries in West Virginia revealed a strikingly high correlation coefficient of 0.9830590. This significant correlation suggests a strong positive association between the number of culinary degrees awarded and the incidence of burglaries in the state. One might say this correlation was so sharp, it could grate cheese!
The r-squared value of 0.9664049 indicates that approximately 96.64% of the variability in the incidence of burglaries can be explained by the number of Culinary Associates degrees awarded. This statistic uncovers a robust link between these seemingly unrelated variables, leaving us to ponder the deeper layers of this statistical "soufflé."
The p-value of less than 0.01 further solidifies the strength of the relationship found in our analysis. This p-value is so low, it's as if the data itself was serving us a platter of statistical significance. Such a low p-value suggests that the observed correlation is highly unlikely to have occurred by chance, leaving us with a statistical conundrum that's as perplexing as finding the missing ingredient in a recipe.
The scatterplot (Fig. 1) visually demonstrates the strong positive correlation between the number of Culinary Associates degrees awarded and the incidence of burglaries in West Virginia. This relationship is as clear as day, like the perfect recipe for a delicious dish.
In light of these compelling results, it is essential to approach this correlation with caution and skepticism. While the statistical connection between culinary education and burglaries may leave us with a taste for further exploration, it is crucial to remember that correlation does not imply causation. Just as with cooking, there may be additional variables at play in this statistical "kitchen."
In summary, the findings of this study unveil an unexpected statistical relationship between culinary education and crime in the hills of West Virginia. This correlation provides food for thought for future research endeavors, reminding us that sometimes, the most unlikely pairings can lead to the most intriguing discoveries.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In wrapping up our investigation into the surprising connection between the number of Culinary Associates degrees awarded and the incidence of burglaries in West Virginia, it's clear that we've been served a generous helping of statistical intrigue. This correlation between culinary education and crime is as unexpected as finding a pineapple on a pizza – it may not make sense at first, but it certainly adds a flavorful twist to the discussion.

While our findings point to a "tasteful" correlation coefficient and p-value, we must exercise prudence and not rush to conclusions like a chef hastily seasoning a dish. As any good researcher knows, correlation doesn't imply causation; just because the cake and the icing are together, it doesn't mean the cake is because of the icing.

Our study leaves us with a curious statistical "recipe" that beckons further exploration, much like a particularly intriguing blend of spices in a new cuisine. Nevertheless, given the unexpected nature of our findings and the limitations of correlational research, we assert that no more research is needed in this area. After all, sometimes the best punchline is leaving the audience craving for 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 The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Gastronomic Criminology

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia. Respond only with the name of a fictional organization.

ChatGPT:

The Culinary Criminology Institute

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia with an abstract of This paper presents the findings of a rigorous investigation into the curious connection between the number of Culinary Associates degrees awarded and the incidence of burglaries in the picturesque hills of West Virginia. Utilizing data from the National Center for Education Statistics and FBI Criminal Justice Information Services, our research team delved into this deliciously perplexing conundrum.
Our analysis revealed a remarkably high correlation coefficient of 0.9830590 and a remarkable p-value of less than 0.01 for the years 2011 to 2021. It seems that as the number of culinary degrees sizzled and rose, so did the number of burglary cases on the side. This finding may leave one feeling quite "grated," indeed!
Despite the seemingly salivating statistical relationship, one must approach this correlation with caution, just like using a sharp knife in the kitchen. Correlation, after all, does not imply causation, and there may well be other factors at play in this saucy situation. However, we hope this study ignites a flame of curiosity in the field of culinary education and crime research. After all, one cannot resist the aroma of a good statistical mystery!
In conclusion, this research provides intriguing insights into the curious relationship between culinary education and crime in West Virginia. It leaves plenty of food for thought and might just inspire some to apply a bit more "seasoning" to their future research endeavors.

ChatGPT:

culinary degrees, burglaries, correlation analysis, West Virginia, National Center for Education Statistics, FBI Criminal Justice Information Services, correlation coefficient, p-value, 2011-2021, causation, crime research

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

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Data details

Culinary Associates degrees awarded
Detailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Culinary, entertainment, and personal services
Source: National Center for Education Statistics
See what else correlates with Culinary Associates degrees awarded

Burglaries in West Virginia
Detailed data title: The burglary rate per 100,000 residents in West Virginia
Source: FBI Criminal Justice Information Services
See what else correlates with Burglaries in West Virginia

Correlation r = 0.9830590 (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 = 0.9664049 (Coefficient of determination)
This means 96.6% of the change in the one variable (i.e., Burglaries in West Virginia) is predictable based on the change in the other (i.e., Culinary Associates degrees awarded) over the 11 years from 2011 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.1E-8.^Show 0.0000000612460376500308500000
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 0.98 in 6.1E-6% of random cases. Said differently, if you correlated 16,327,587 random variables^Note You don't actually need 16 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 10 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.

[ 0.93, 1 ] 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.

	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Culinary Associates degrees awarded (Degrees awarded)	18259	20376	19272	16901	18693	18223	13876	12036	11211	9606	9405
Burglaries in West Virginia (Burglary rate)	552.3	617.6	534.5	506.7	514.2	499.1	415.9	327.9	294.2	273.3	215

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.

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([18259,20376,19272,16901,18693,18223,13876,12036,11211,9606,9405,])
array_2 = np.array([552.3,617.6,534.5,506.7,514.2,499.1,415.9,327.9,294.2,273.3,215,])
array_1_name = "Culinary Associates degrees awarded"
array_2_name = "Burglaries in West Virginia"

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

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

Reuseable content

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

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

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

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

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

Download images for these variables:

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

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

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
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Scatterplot
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Portable line chart (png), optimized for mobile
Line chart for only Culinary Associates degrees awarded
Line chart for only Burglaries in West Virginia
AI-generated correlation image
The spurious research paper: The Roast and Steal: A Correlational Analysis of Culinary Degrees and Burglaries in the Hills of West Virginia

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Correlation ID: 3685 · Black Variable ID: 1219 · Red Variable ID: 20127


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