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Spurious correlation #1,799 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Bachelor's degrees awarded in law enforcement and the second variable is The number of fiberglass laminators and fabricators in Arkansas.  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As more individuals earned their Bachelor's degrees in law enforcement, there was a surge in demand for realistic crime scene reenactments and training scenarios. This, in turn, led to a higher need for intricately crafted props and replicas, including an unexpected boom in fiberglass dummies of perpetrators and laminated evidence displays. Arkansas found itself at the forefront of this peculiar employment growth, proving that when it comes to the intersection of education and odd occupational outcomes, the truth can indeed be stranger than fiction.

Model: dalle-3
Prompt: Image Generation Prompt: Style: A black-and-white newspaper illustration Scene Description: In a bustling Arkansas workshop, a group of skilled fiberglass laminators and fabricators joyfully celebrate their hard work, holding up freshly crafted products. Meanwhile, in a nearby university, proud graduates in law enforcement proudly receive their Bachelor's degrees, surrounded by their families and mentors. Visual Depiction: - Incorporate intricate detailing of the workshop, showcasing the tools and molds used by the laminators and fabricators. - Capture the elation of the workers, emphasizing their unique craftsmanship and the pride in their creations. - Highlight the diversity within the group, illustrating individuals of different ages and backgrounds coming together in celebration. - Showcase the university graduation ceremony with the graduates in law enforcement proudly receiving their degrees, showcasing the academic regalia and the joyous atmosphere of the ceremony. - Artfully convey the sense of achievement and pride among the graduates, families, and mentors, conveying the significance of the moment. Note: Your prompt is ready for image generation. 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: Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas. 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: Scalar art A black-and-white newspaper illustration A Discovery magazine cover image A scene from Skyrim Art nouveau
ChatGPT: A black-and-white newspaper illustration

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas together. Keep the description simple.
ChatGPT: In a bustling Arkansas workshop, a group of skilled fiberglass laminators and fabricators joyfully celebrate their hard work, holding up freshly crafted products. Meanwhile, in a nearby university, proud graduates in law enforcement proudly receive their Bachelor's degrees, surrounded by their families and mentors.

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 black-and-white newspaper illustration ] and depicting this scene: In a bustling Arkansas workshop, a group of skilled fiberglass laminators and fabricators joyfully celebrate their hard work, holding up freshly crafted products. Meanwhile, in a nearby university, proud graduates in law enforcement proudly receive their Bachelor's degrees, surrounded by their families and mentors. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Image Generation Prompt: Style: A black-and-white newspaper illustration Scene Description: In a bustling Arkansas workshop, a group of skilled fiberglass laminators and fabricators joyfully celebrate their hard work, holding up freshly crafted products. Meanwhile, in a nearby university, proud graduates in law enforcement proudly receive their Bachelor's degrees, surrounded by their families and mentors. Visual Depiction: - Incorporate intricate detailing of the workshop, showcasing the tools and molds used by the laminators and fabricators. - Capture the elation of the workers, emphasizing their unique craftsmanship and the pride in their creations. - Highlight the diversity within the group, illustrating individuals of different ages and backgrounds coming together in celebration. - Showcase the university graduation ceremony with the graduates in law enforcement proudly receiving their degrees, showcasing the academic regalia and the joyous atmosphere of the ceremony. - Artfully convey the sense of achievement and pride among the graduates, families, and mentors, conveying the significance of the moment. Note: Your prompt is ready for image generation.

*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 Bachelor's degrees awarded in law enforcement caused The number of fiberglass laminators and fabricators in Arkansas to increase.

AI academic paper

(Because p < 0.01)
Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas

The Journal of Criminology and Material Science

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 researcher writing an academic paper.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 Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas. Make lots of jokes, goofy observations, and puns.

Make the title punny if you can come up with clever pun. If not, just make it sound clever.

Your research team used data from National Center for Education Statistics and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.8442651 and p < 0.01 for 2012 to 2021.

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]]
Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas

[[ABSTRACT]]
This paper investigates a previously overlooked connection between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators in the state. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team discovered a surprising correlation coefficient of 0.8442651 with a p-value less than 0.01 for the years 2012 to 2021. The findings suggest an intriguing relationship between the educational choices of aspiring law enforcers and the manufacture of fiberglass products in the state. We delve into the potential implications of this unlikely correlation and discuss the perplexing ways in which these two seemingly disparate fields might intersect. Our results pave the way for further whimsical investigations into the quirky connections within the labor market.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas

[[ABSTRACT]]
This paper investigates a previously overlooked connection between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators in the state. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team discovered a surprising correlation coefficient of 0.8442651 with a p-value less than 0.01 for the years 2012 to 2021. The findings suggest an intriguing relationship between the educational choices of aspiring law enforcers and the manufacture of fiberglass products in the state. We delve into the potential implications of this unlikely correlation and discuss the perplexing ways in which these two seemingly disparate fields might intersect. Our results pave the way for further whimsical investigations into the quirky connections within the labor market.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

As we dive headfirst into the convoluted and often confounding world of labor market trends and educational pathways, it becomes abundantly clear that there are unexpected connections lurking in the depths of statistical data. Our research brings to light the peculiar linkage between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators within the state. While one might not immediately see the correlation between catching criminals and crafting fiberglass masterpieces, our findings reveal a striking dance between these two ostensibly divergent domains.

In this paper, we aim to unravel the enigmatic relationship that has long been hidden in the shadows of mundane data sets. As we navigate through the labyrinth of statistics and demographics, this study seeks to enlighten and entertain, shedding light on the hilariously improbable tie between the pursuit of justice and the creation of fiberglass wonders.

Through a combination of rigorous statistical analysis, a dash of good-natured humor, and a few unexpected twists and turns, we endeavor to provide a fresh perspective on the interconnectedness of labor markets and educational choices. Our findings may not only raise eyebrows but also prompt the occasional chuckle as we delve into the whimsical world of labor market correlations. So, buckle up and prepare to embark on a rollercoaster ride of statistical curiosities and unexpected parallels. As we peel back the layers of this peculiar connection, we're sure to encounter some surprising revelations that will leave you both scratching your head and grinning in amusement.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas. Make lots of 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 some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas

[[ABSTRACT]]
This paper investigates a previously overlooked connection between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators in the state. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team discovered a surprising correlation coefficient of 0.8442651 with a p-value less than 0.01 for the years 2012 to 2021. The findings suggest an intriguing relationship between the educational choices of aspiring law enforcers and the manufacture of fiberglass products in the state. We delve into the potential implications of this unlikely correlation and discuss the perplexing ways in which these two seemingly disparate fields might intersect. Our results pave the way for further whimsical investigations into the quirky connections within the labor market.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As we dive headfirst into the convoluted and often confounding world of labor market trends and educational pathways, it becomes abundantly clear that there are unexpected connections lurking in the depths of statistical data. Our research brings to light the peculiar linkage between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators within the state. While one might not immediately see the correlation between catching criminals and crafting fiberglass masterpieces, our findings reveal a striking dance between these two ostensibly divergent domains.
In this paper, we aim to unravel the enigmatic relationship that has long been hidden in the shadows of mundane data sets. As we navigate through the labyrinth of statistics and demographics, this study seeks to enlighten and entertain, shedding light on the hilariously improbable tie between the pursuit of justice and the creation of fiberglass wonders.
Through a combination of rigorous statistical analysis, a dash of good-natured humor, and a few unexpected twists and turns, we endeavor to provide a fresh perspective on the interconnectedness of labor markets and educational choices. Our findings may not only raise eyebrows but also prompt the occasional chuckle as we delve into the whimsical world of labor market correlations. So, buckle up and prepare to embark on a rollercoaster ride of statistical curiosities and unexpected parallels. As we peel back the layers of this peculiar connection, we're sure to encounter some surprising revelations that will leave you both scratching your head and grinning in amusement.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Smith and Doe (2015) in their seminal work, "Law Enforcement Education and Career Paths," examined the educational trajectories of aspiring law enforcement professionals and the range of degrees pursued in preparation for this esteemed profession. Their thorough analysis uncovered the prevalence of Bachelor's degrees in law enforcement among individuals entering the field, shedding light on the academic inclinations of those dedicated to upholding the law. While their study did not explicitly touch upon the correlation with fiberglass fabricators, it did provide valuable insight into the educational landscape of law enforcement.

The curious juxtaposition of educational pursuits and labor demands has also captured the attention of Jones et al. (2017) in "The Labor Market Quagmire." This comprehensive study delved into the intricate web of occupations and their interconnectedness, highlighting unexpected correlations that defy traditional logic. While their focus was not specifically on law enforcement degrees and fiberglass fabrication, their work laid the groundwork for embracing the whimsical and unanticipated connections within the labor market.

Moving beyond the academic realm, "Fiberglass Fabrication: Techniques and Innovations" by Anderson (2018) offered a comprehensive exploration of the techniques and nuances of working with fiberglass. While not directly related to law enforcement education, this in-depth look into the realm of fiberglass craftsmanship provided valuable context for understanding the demand for skilled fabricators.

On the fictional front, the captivating world of crime and justice portrayed in "True Detective" by Noir (2015) and "The Pelican Brief" by LegalThrills (1992) not only provides a thrilling narrative but also sparks inquiries into the intersecting realms of law enforcement and intrigue. While these works are not academic in nature, they ignite the imagination and pique curiosity about the broader implications of law enforcement education.

In the realm of cinematic explorations, "Super Troopers" (2001) offers a comedic take on law enforcement, infusing lighthearted humor into the serious world of policing. Although not a direct commentary on the correlation between law enforcement degrees and fiberglass fabrication, its comedic portrayal of law enforcement dynamics adds a touch of levity to our understanding of the field.

As we wade through the literature, we find ourselves traversing a landscape dotted with unexpected connections and tantalizing intersections, setting the stage for our whimsical exploration of the entwined worlds of law enforcement education and fiberglass fabrication.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Bureau of Larbor Statistics . You used data from 2012 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]]
Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas

[[ABSTRACT]]
This paper investigates a previously overlooked connection between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators in the state. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team discovered a surprising correlation coefficient of 0.8442651 with a p-value less than 0.01 for the years 2012 to 2021. The findings suggest an intriguing relationship between the educational choices of aspiring law enforcers and the manufacture of fiberglass products in the state. We delve into the potential implications of this unlikely correlation and discuss the perplexing ways in which these two seemingly disparate fields might intersect. Our results pave the way for further whimsical investigations into the quirky connections within the labor market.

[[INTRODUCTION]]
As we dive headfirst into the convoluted and often confounding world of labor market trends and educational pathways, it becomes abundantly clear that there are unexpected connections lurking in the depths of statistical data. Our research brings to light the peculiar linkage between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators within the state. While one might not immediately see the correlation between catching criminals and crafting fiberglass masterpieces, our findings reveal a striking dance between these two ostensibly divergent domains.
In this paper, we aim to unravel the enigmatic relationship that has long been hidden in the shadows of mundane data sets. As we navigate through the labyrinth of statistics and demographics, this study seeks to enlighten and entertain, shedding light on the hilariously improbable tie between the pursuit of justice and the creation of fiberglass wonders.
Through a combination of rigorous statistical analysis, a dash of good-natured humor, and a few unexpected twists and turns, we endeavor to provide a fresh perspective on the interconnectedness of labor markets and educational choices. Our findings may not only raise eyebrows but also prompt the occasional chuckle as we delve into the whimsical world of labor market correlations. So, buckle up and prepare to embark on a rollercoaster ride of statistical curiosities and unexpected parallels. As we peel back the layers of this peculiar connection, we're sure to encounter some surprising revelations that will leave you both scratching your head and grinning in amusement.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Before treading into the comically convoluted world of data analysis, we first had to cast our nets far and wide to scoop up the necessary information for our investigation. Armed with nothing more than a trusty internet connection and a mountain of curiosity, our intrepid research team scoured the digital landscape for data pertaining to Bachelor's degrees in law enforcement and the riveting realm of fiberglass laminators and fabricators in the charming state of Arkansas.

Our primary sources of data were the National Center for Education Statistics and the Bureau of Labor Statistics, where we sifted through a trove of numerical nuggets spanning the years 2012 to 2021. With unyielding determination, we meticulously combed through spreadsheets, charts, and graphs, arming ourselves with an arsenal of statistical weaponry that would make even the most formidable data analyst quiver in their stylish yet practical boots.

To quantify the connection between law enforcement degrees and fiberglass craftsmanship, we employed the ever-reliable correlation coefficient, a trusty tool in the researcher's quirky arsenal. With bated breath and furrowed brows, we watched in suspense as the numbers danced across the screen, uncovering a correlation coefficient of 0.8442651 that elicited an astonished chorus of gasps and giggles from our esteemed research team. The p-value, that fabled gatekeeper of statistical significance, dutifully presented itself at a value less than 0.01, solidifying the credibility of our findings and leaving us all utterly bemused at the delightful absurdity of it all.

We must admit that our methods might seem as nonsensical as a clown at a bank, but in the grand tradition of scientific inquiry, we embraced the chaos and emerged with a set of results that would make even the most stoic statistician crack a smile. So, with our data gathered, crunched, and scrutinized to within an inch of its numerical life, we proudly present our findings in all their whimsically rigorous glory.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Bureau of Larbor Statistics .

For the time period 2012 to 2021, you found a correlation 0.8442651, r-squared of 0.7127836, 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]]
Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas

[[ABSTRACT]]
This paper investigates a previously overlooked connection between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators in the state. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team discovered a surprising correlation coefficient of 0.8442651 with a p-value less than 0.01 for the years 2012 to 2021. The findings suggest an intriguing relationship between the educational choices of aspiring law enforcers and the manufacture of fiberglass products in the state. We delve into the potential implications of this unlikely correlation and discuss the perplexing ways in which these two seemingly disparate fields might intersect. Our results pave the way for further whimsical investigations into the quirky connections within the labor market.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
As we dive headfirst into the convoluted and often confounding world of labor market trends and educational pathways, it becomes abundantly clear that there are unexpected connections lurking in the depths of statistical data. Our research brings to light the peculiar linkage between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators within the state. While one might not immediately see the correlation between catching criminals and crafting fiberglass masterpieces, our findings reveal a striking dance between these two ostensibly divergent domains.
In this paper, we aim to unravel the enigmatic relationship that has long been hidden in the shadows of mundane data sets. As we navigate through the labyrinth of statistics and demographics, this study seeks to enlighten and entertain, shedding light on the hilariously improbable tie between the pursuit of justice and the creation of fiberglass wonders.
Through a combination of rigorous statistical analysis, a dash of good-natured humor, and a few unexpected twists and turns, we endeavor to provide a fresh perspective on the interconnectedness of labor markets and educational choices. Our findings may not only raise eyebrows but also prompt the occasional chuckle as we delve into the whimsical world of labor market correlations. So, buckle up and prepare to embark on a rollercoaster ride of statistical curiosities and unexpected parallels. As we peel back the layers of this peculiar connection, we're sure to encounter some surprising revelations that will leave you both scratching your head and grinning in amusement.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our rigorous analysis of the data yielded a remarkably strong correlation between the number of Bachelor's degrees awarded in law enforcement and the quantity of fiberglass laminators and fabricators employed in Arkansas. The correlation coefficient of 0.8442651 with an r-squared of 0.7127836 indicates a robust and statistically significant relationship between these seemingly disparate variables. With a p-value less than 0.01, our findings point to a connection that is as surprising as finding a donut truck at a police convention.

In Figure 1, the scatterplot graphically illustrates the striking correlation between these two unlikely bedfellows. It's as if Sherlock Holmes teamed up with a sculptor to crack the case of the mysterious fiberglass fabrication surge. The upward trend in the scatterplot is as clear as day, much like a perp caught red-handed in the act!

Our findings suggest an intricate dance between the pursuit of law enforcement degrees and the demand for skilled fiberglass artisans in Arkansas. It's almost like witnessing a tango between law enforcers and fiberglass aficionados – a veritable dance of supply, demand, and unexpected encounters.

This discovery opens the door to a new era of mirthful musings on the interplay of educational choices and labor market demands. It's as if Arkansas is secretly hosting a unique soiree where aspiring law enforcers and fiberglass enthusiasts meet, mingle, and miraculously influence each other's career paths.

Our results not only raise thought-provoking questions but also inspire a chuckle or two as we navigate this comical conundrum of connections in the labor market. It's as if Batman and Bob the Builder decided to join forces, creating a whimsical tapestry of crime-fighting and fiberglass craftsmanship.

In essence, our findings prod the realms of possibility and prompt a reconsideration of the assumed boundaries within the labor market. This peculiar correlation is a testament to the delightful surprises that await within the labyrinthine world of statistics and labor trends. So, let's embrace the unexpected and revel in the zany connections that lurk within the data – a joyous romp through a statistical wonderland!


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas

[[ABSTRACT]]
This paper investigates a previously overlooked connection between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators in the state. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team discovered a surprising correlation coefficient of 0.8442651 with a p-value less than 0.01 for the years 2012 to 2021. The findings suggest an intriguing relationship between the educational choices of aspiring law enforcers and the manufacture of fiberglass products in the state. We delve into the potential implications of this unlikely correlation and discuss the perplexing ways in which these two seemingly disparate fields might intersect. Our results pave the way for further whimsical investigations into the quirky connections within the labor market.

[[LITERATURE REVIEW]]
Smith and Doe (2015) in their seminal work, "Law Enforcement Education and Career Paths," examined the educational trajectories of aspiring law enforcement professionals and the range of degrees pursued in preparation for this esteemed profession. Their thorough analysis uncovered the prevalence of Bachelor's degrees in law enforcement among individuals entering the field, shedding light on the academic inclinations of those dedicated to upholding the law. While their study did not explicitly touch upon the correlation with fiberglass fabricators, it did provide valuable insight into the educational landscape of law enforcement.
The curious juxtaposition of educational pursuits and labor demands has also captured the attention of Jones et al. (2017) in "The Labor Market Quagmire." This comprehensive study delved into the intricate web of occupations and their interconnectedness, highlighting unexpected correlations that defy traditional logic. While their focus was not specifically on law enforcement degrees and fiberglass fabrication, their work laid the groundwork for embracing the whimsical and unanticipated connections within the labor market.
Moving beyond the academic realm, "Fiberglass Fabrication: Techniques and Innovations" by Anderson (2018) offered a comprehensive exploration of the techniques and nuances of working with fiberglass. While not directly related to law enforcement education, this in-depth look into the realm of fiberglass craftsmanship provided valuable context for understanding the demand for skilled fabricators.
On the fictional front, the captivating world of crime and justice portrayed in "True Detective" by Noir (2015) and "The Pelican Brief" by LegalThrills (1992) not only provides a thrilling narrative but also sparks inquiries into the intersecting realms of law enforcement and intrigue. While these works are not academic in nature, they ignite the imagination and pique curiosity about the broader implications of law enforcement education.
In the realm of cinematic explorations, "Super Troopers" (2001) offers a comedic take on law enforcement, infusing lighthearted humor into the serious world of policing. Although not a direct commentary on the correlation between law enforcement degrees and fiberglass fabrication, its comedic portrayal of law enforcement dynamics adds a touch of levity to our understanding of the field.
As we wade through the literature, we find ourselves traversing a landscape dotted with unexpected connections and tantalizing intersections, setting the stage for our whimsical exploration of the entwined worlds of law enforcement education and fiberglass fabrication.

[[RESULTS]]
Our rigorous analysis of the data yielded a remarkably strong correlation between the number of Bachelor's degrees awarded in law enforcement and the quantity of fiberglass laminators and fabricators employed in Arkansas. The correlation coefficient of 0.8442651 with an r-squared of 0.7127836 indicates a robust and statistically significant relationship between these seemingly disparate variables. With a p-value less than 0.01, our findings point to a connection that is as surprising as finding a donut truck at a police convention.
In Figure 1, the scatterplot graphically illustrates the striking correlation between these two unlikely bedfellows. It's as if Sherlock Holmes teamed up with a sculptor to crack the case of the mysterious fiberglass fabrication surge. The upward trend in the scatterplot is as clear as day, much like a perp caught red-handed in the act!
Our findings suggest an intricate dance between the pursuit of law enforcement degrees and the demand for skilled fiberglass artisans in Arkansas. It's almost like witnessing a tango between law enforcers and fiberglass aficionados – a veritable dance of supply, demand, and unexpected encounters.
This discovery opens the door to a new era of mirthful musings on the interplay of educational choices and labor market demands. It's as if Arkansas is secretly hosting a unique soiree where aspiring law enforcers and fiberglass enthusiasts meet, mingle, and miraculously influence each other's career paths.
Our results not only raise thought-provoking questions but also inspire a chuckle or two as we navigate this comical conundrum of connections in the labor market. It's as if Batman and Bob the Builder decided to join forces, creating a whimsical tapestry of crime-fighting and fiberglass craftsmanship.
In essence, our findings prod the realms of possibility and prompt a reconsideration of the assumed boundaries within the labor market. This peculiar correlation is a testament to the delightful surprises that await within the labyrinthine world of statistics and labor trends. So, let's embrace the unexpected and revel in the zany connections that lurk within the data – a joyous romp through a statistical wonderland!

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The breathtaking correlation between the number of law enforcement Bachelor's degrees and the quantity of fiberglass laminators and fabricators in Arkansas sends ripples of delight through the labor market landscape. Our findings not only confirm but also add a dash of whimsy to the prior research in this unexplored territory.

Smith and Doe (2015) first sparked our interest in the academic predilections of law enforcement enthusiasts. Our results stand as a resounding affirmation of their work, shedding light on the unsuspected links between educational choices and career paths. It's as if Sherlock Holmes himself had donned a graduation cap and gown, opting for a career in law enforcement while leaving the pipes and magnifying glass behind. Jones et al. (2017) set the stage for embracing the unexpected in the labor market. Our findings serve as the starry-eyed confirmation of their pioneering approach, akin to stumbling upon a treasure trove of interconnected professions where law enforcement and fiberglass craftsmanship engage in a merry dance.

Furthermore, Anderson's (2018) comprehensive exploration of fiberglass techniques provided the backdrop for our understanding of the demand for skilled fabricators. Little did we know that the world of fiberglass artistry would intersect with the academic aspirations of aspiring law enforcers in such a captivating manner. Indeed, our findings are reminiscent of a delightful fusion between a crime thriller and an artistic expose—a harmonious blend of justice and craftsmanship that defies convention.

The whimsical touch lent by "True Detective" by Noir (2015) and "The Pelican Brief" by LegalThrills (1992) might have been presented as fictional reverie, but our results bring a glint of reality to their portrayals of the intricate world of law enforcement. As for "Super Troopers" (2001), its lighthearted take on policing now seems to carry a tinge of prophetic nuance as we unravel the unexpected bond between law enforcement education and fiberglass fabrication. Who knew that a comedic portrayal of law enforcement could foreshadow the offbeat connections lurking within the labor market?

In conclusion, our findings launch us into an era of whimsical wonder, where law enforcement education and fiberglass fabrication converge in a delightful waltz of surprising correlations. The unexpected trajectory of our research is a testament to the mirth and marvel that infuse the realm of academia and labor trends. Let's raise a toast to the jollity of statistical excursions, where the seemingly ordinary unfolds into an extraordinary tapestry of quirky connections.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Bachelor's degrees awarded in law enforcement and The number of fiberglass laminators and fabricators in Arkansas. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas

[[ABSTRACT]]
This paper investigates a previously overlooked connection between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators in the state. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team discovered a surprising correlation coefficient of 0.8442651 with a p-value less than 0.01 for the years 2012 to 2021. The findings suggest an intriguing relationship between the educational choices of aspiring law enforcers and the manufacture of fiberglass products in the state. We delve into the potential implications of this unlikely correlation and discuss the perplexing ways in which these two seemingly disparate fields might intersect. Our results pave the way for further whimsical investigations into the quirky connections within the labor market.

[[INTRDUCTION]]
As we dive headfirst into the convoluted and often confounding world of labor market trends and educational pathways, it becomes abundantly clear that there are unexpected connections lurking in the depths of statistical data. Our research brings to light the peculiar linkage between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators within the state. While one might not immediately see the correlation between catching criminals and crafting fiberglass masterpieces, our findings reveal a striking dance between these two ostensibly divergent domains.
In this paper, we aim to unravel the enigmatic relationship that has long been hidden in the shadows of mundane data sets. As we navigate through the labyrinth of statistics and demographics, this study seeks to enlighten and entertain, shedding light on the hilariously improbable tie between the pursuit of justice and the creation of fiberglass wonders.
Through a combination of rigorous statistical analysis, a dash of good-natured humor, and a few unexpected twists and turns, we endeavor to provide a fresh perspective on the interconnectedness of labor markets and educational choices. Our findings may not only raise eyebrows but also prompt the occasional chuckle as we delve into the whimsical world of labor market correlations. So, buckle up and prepare to embark on a rollercoaster ride of statistical curiosities and unexpected parallels. As we peel back the layers of this peculiar connection, we're sure to encounter some surprising revelations that will leave you both scratching your head and grinning in amusement.

[[RESULTS]]
Our rigorous analysis of the data yielded a remarkably strong correlation between the number of Bachelor's degrees awarded in law enforcement and the quantity of fiberglass laminators and fabricators employed in Arkansas. The correlation coefficient of 0.8442651 with an r-squared of 0.7127836 indicates a robust and statistically significant relationship between these seemingly disparate variables. With a p-value less than 0.01, our findings point to a connection that is as surprising as finding a donut truck at a police convention.
In Figure 1, the scatterplot graphically illustrates the striking correlation between these two unlikely bedfellows. It's as if Sherlock Holmes teamed up with a sculptor to crack the case of the mysterious fiberglass fabrication surge. The upward trend in the scatterplot is as clear as day, much like a perp caught red-handed in the act!
Our findings suggest an intricate dance between the pursuit of law enforcement degrees and the demand for skilled fiberglass artisans in Arkansas. It's almost like witnessing a tango between law enforcers and fiberglass aficionados – a veritable dance of supply, demand, and unexpected encounters.
This discovery opens the door to a new era of mirthful musings on the interplay of educational choices and labor market demands. It's as if Arkansas is secretly hosting a unique soiree where aspiring law enforcers and fiberglass enthusiasts meet, mingle, and miraculously influence each other's career paths.
Our results not only raise thought-provoking questions but also inspire a chuckle or two as we navigate this comical conundrum of connections in the labor market. It's as if Batman and Bob the Builder decided to join forces, creating a whimsical tapestry of crime-fighting and fiberglass craftsmanship.
In essence, our findings prod the realms of possibility and prompt a reconsideration of the assumed boundaries within the labor market. This peculiar correlation is a testament to the delightful surprises that await within the labyrinthine world of statistics and labor trends. So, let's embrace the unexpected and revel in the zany connections that lurk within the data – a joyous romp through a statistical wonderland!

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation has uncovered a remarkable correlation between the number of law enforcement degrees awarded in Arkansas and the demand for fiberglass laminators and fabricators in the state. As bizarre as stumbling upon a panda holding a paintbrush, our findings offer a delightful twist in the labyrinth of labor market connections. This unexpected correlation is akin to discovering a unicorn playing poker with leprechauns – a whimsical surprise that defies conventional expectations.

Our research sheds light on the hitherto overlooked intersection between the pursuit of justice and the crafting of fiberglass wonders, presenting a rollercoaster of statistical curiosities and unexpected parallels. With a correlation coefficient as robust as Hulk flexing his muscles, and a p-value as significant as a detective finding a missing sock, our results urge us to rethink the conventional boundaries of labor market relationships.

It's like witnessing a fusion of cops and sculptors in a bizarre yet beautiful dance of supply, demand, and unexpected encounters. Our findings prod the realm of possibility and prompt us to embrace the joyous romp through a statistical wonderland.

Therefore, in the spirit of whimsy and statistical marvel, we advocate for no further research in this area. Just like a perfect punchline, some enigmas are best left as humorous mysteries, adding a touch of pizzazz to the often serious world of academic inquiry. Let's savor this quirky connection as a delightful reminder that even in the world of statistics, unpredictability and amusement abound. Cheers to the delightfully unexpected, and here's to more statistical surprises that leave us both scratching our heads and grinning in amusement!


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 Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Criminology and Material Science


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 Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Southern Justice and Industrial Arts


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 Cops and Robbers: Exploring the Link Between Law Enforcement Degrees and Fiberglass Fabricators in Arkansas with an abstract of This paper investigates a previously overlooked connection between the number of Bachelor's degrees awarded in law enforcement in Arkansas and the demand for fiberglass laminators and fabricators in the state. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team discovered a surprising correlation coefficient of 0.8442651 with a p-value less than 0.01 for the years 2012 to 2021. The findings suggest an intriguing relationship between the educational choices of aspiring law enforcers and the manufacture of fiberglass products in the state. We delve into the potential implications of this unlikely correlation and discuss the perplexing ways in which these two seemingly disparate fields might intersect. Our results pave the way for further whimsical investigations into the quirky connections within the labor market.

ChatGPT:

law enforcement degrees, Arkansas, fiberglass fabricators, correlation coefficient, National Center for Education Statistics, Bureau of Labor Statistics, labor market connections

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



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Data details

Bachelor's degrees awarded in law enforcement
Detailed data title: Bachelor's degrees conferred by postsecondary institutions, in field of study: Homeland security, law enforcement, and firefighting
Source: National Center for Education Statistics
See what else correlates with Bachelor's degrees awarded in law enforcement

The number of fiberglass laminators and fabricators in Arkansas
Detailed data title: BLS estimate of fiberglass laminators and fabricators in Arkansas
Source: Bureau of Larbor Statistics
See what else correlates with The number of fiberglass laminators and fabricators in Arkansas

Correlation r = 0.8442651 (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 = 0.7127836 (Coefficient of determination)
This means 71.3% of the change in the one variable (i.e., The number of fiberglass laminators and fabricators in Arkansas) is predictable based on the change in the other (i.e., Bachelor's degrees awarded in law enforcement) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0021. 0.0021230609687124652000000000
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 0.84 in 0.21% of random cases. Said differently, if you correlated 471 random variables Which I absolutely did.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.46, 0.96 ] 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.
2012201320142015201620172018201920202021
Bachelor's degrees awarded in law enforcement (Degrees awarded)54091602646241662723611595955358121573335704458009
The number of fiberglass laminators and fabricators in Arkansas (Laborers)150670650820390490510400410330




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. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




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([54091,60264,62416,62723,61159,59553,58121,57333,57044,58009,])
array_2 = np.array([150,670,650,820,390,490,510,400,410,330,])
array_1_name = "Bachelor's degrees awarded in law enforcement"
array_2_name = "The number of fiberglass laminators and fabricators in Arkansas"

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

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



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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: 1799 · Black Variable ID: 1279 · Red Variable ID: 5292
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