Spurious correlation #2,260 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of tailors, dressmakers, and custom sewers in Alabama and the second variable is Burglaries in Alabama. The chart goes from 2003 to 2022, 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 The number of tailors, dressmakers, and custom sewers in Alabama and the second variable is Burglaries in Alabama. The chart goes from 2003 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of tailors, dressmakers, and custom sewers in Alabama decreased, there was a parallel decrease in the production of trendy and fashionable clothing items. This led to a statewide fashion crisis, where even the most stylish burglars were caught off guard by the lack of chic loot. Unable to steal classy and up-to-date attire, the burglars either gave up their thieving ways or resorted to pilfering vintage clothing, inadvertently becoming the quirkiest and most anachronistic criminals in Alabama's history. The lack of sartorial splendor effectively thwarted the burglary epidemic, as the once fashion-forward felons found themselves at the mercy of out-of-date wardrobes, ultimately trading their black masks for old-timey bonnets and their swag bags for embroidered handbags from yesteryear. It turns out, the real crime was the lack of fashion sense!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a Polaroid photo capturing the ambiance of a small town in Alabama. The focus is on a quaint tailor and dressmaker shop, bustling with activity as the skilled artisans work on creating bespoke garments. Outside, a neighborhood watch group is depicted, standing on the street with a vigilant demeanor, keeping a watchful eye on the surroundings to safeguard the community. The photo should encapsulate the charming essence of the small town, with the activities of the tailors and dressmakers symbolizing the community's craftsmanship and commitment, while the neighborhood watch group represents the sense of solidarity and security. 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: The number of tailors, dressmakers, and custom sewers in Alabama and Burglaries in Alabama. 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: Psychedelic Psychedelic Charcoal Cute cartoon a Polaroid photo
ChatGPT: a Polaroid photo

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 The number of tailors, dressmakers, and custom sewers in Alabama and Burglaries in Alabama together. Keep the description simple.
ChatGPT: In a small town in Alabama, a group of tailors and dressmakers are busy at work in their quaint shop, diligently creating bespoke garments for the community. Meanwhile, outside, a neighborhood watch group is gathered on the street, keeping a watchful eye to prevent any potential burglaries from occurring.

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 Polaroid photo ] and depicting this scene: In a small town in Alabama, a group of tailors and dressmakers are busy at work in their quaint shop, diligently creating bespoke garments for the community. Meanwhile, outside, a neighborhood watch group is gathered on the street, keeping a watchful eye to prevent any potential burglaries from occurring. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a Polaroid photo capturing the ambiance of a small town in Alabama. The focus is on a quaint tailor and dressmaker shop, bustling with activity as the skilled artisans work on creating bespoke garments. Outside, a neighborhood watch group is depicted, standing on the street with a vigilant demeanor, keeping a watchful eye on the surroundings to safeguard the community. The photo should encapsulate the charming essence of the small town, with the activities of the tailors and dressmakers symbolizing the community's craftsmanship and commitment, while the neighborhood watch group represents the sense of solidarity and security.

*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 The number of tailors, dressmakers, and custom sewers in Alabama caused Burglaries in Alabama to decrease.

AI academic paper

(Because p < 0.01)

Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama

The Journal of Criminological Crafts

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 The number of tailors, dressmakers, and custom sewers in Alabama and Burglaries in Alabama. 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama

[[ABSTRACT]]
This study aims to examine the intriguing relationship between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state. Leveraging data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services, we endeavored to stitch together insights into this seemingly disparate pairing. Our findings revealed a significant correlation coefficient of 0.8237858 and p < 0.01 for the period spanning from 2003 to 2022.

Dad Joke Alert: What did the dressmaker say when asked if she was a cat person or a dog person? "I'm definitely a sew-er, not a fur-rier!"

Through meticulous analysis, we discovered that as the number of tailors and custom sewers increased in Alabama, there was a corresponding rise in the frequency of burglaries. This unexpected association challenges traditional assumptions and necessitates further investigation into the underlying factors at play. Perhaps there are threads of causality waiting to be unraveled, or could it simply be a fabric of coincidence? Our paper posits that the situation might best be described as a "seamless" correlation, demanding deeper exploration both theoretically and empirically.

Dad Joke Alert: Why did the tailor refuse to play hide and seek? Because he always felt like he was cut out for the job!

In conclusion, our research illuminates a peculiar link between the livelihood of tailors and the occurrence of burglaries in Alabama. This study not only prompts a reevaluation of conventional assumptions but also underscores the value of multidisciplinary inquiry, illustrating that even in the realm of statistics, unexpected patterns may await discovery amidst the fabric of data.

Dad Joke Alert: What's a tailor's favorite kind of music? Sewing-ger

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The study of crime rates and their relationship to various socioeconomic factors has long been a subject of academic inquiry. However, one area that has received relatively scant attention is the potential connection between the number of tailors, dressmakers, and custom sewers in a given area and the incidence of burglaries. This unusual pairing of variables may at first seem as incongruous as, well, a needle in a haystack.
Dad Joke Alert: Why do tailors make terrible sailors? They're always trying to hem in the horizon!
Nonetheless, the present study seeks to unravel this intriguing thread of inquiry by analyzing the data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services pertaining to Alabama. The state of Alabama provides an interesting setting for this investigation, given its rich history of textile manufacturing and its diverse communities, from metropolitan areas to rural enclaves.
Dad Joke Alert: Why wasn't the dressmaker afraid of ghosts? She knew she had a spool of thread!
The correlation coefficient obtained in our analysis is notably robust, with a value of 0.8237858 and a p-value less than 0.01, suggesting a strong statistical relationship between the number of tailors and custom sewers and the occurrences of burglaries. This finding may appear as unlikely as finding a thimble in a haystack, but it demands serious consideration and further exploration.
Dad Joke Alert: What did the tailor eat for lunch? A seam-ur sandwich!
Our paper is structured as follows: Section 2 presents a review of the relevant literature on the relationship between socioeconomic factors and crime rates, with a specific focus on the role of artisanal professions. Section 3 outlines the methodology employed in gathering and analyzing the data, emphasizing the steps taken to ensure robustness and reliability. Section 4 details the results of our analysis, with a fine-tooth comb scrutiny of the findings and their implications. Finally, in Section 5, we offer our conclusions and suggestions for future research, highlighting the practical and theoretical implications of our unexpected findings.
Dad Joke Alert: Why did the tailor sit by the window when he sewed? He wanted to make some seams with a view!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The literature on the relationship between socioeconomic factors and crime rates has traditionally focused on variables such as poverty, education, and employment. In "Smith et al.'s 2015 study," the authors find correlations between these factors and crime rates, highlighting the complex interplay of social and economic conditions. Similarly, "Doe and Jones' 2018 research" delves into the impact of urbanization on crime, shedding light on the unique dynamics of metropolitan areas.

Moving beyond the conventional themes, our study delves into the intriguing association between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries. This unorthodox exploration aligns with the growing recognition of the need to consider diverse and unconventional variables in understanding crime patterns. As "Book on Unconventional Criminological Markers" suggests, expanding the scope of inquiry to include non-traditional factors could yield surprising insights into criminal behavior.

Shifting into the realm of fiction, "Murakami's The Wind-Up Bird Chronicle" explores the enigmatic nature of connections, offering a compelling allegory for our unexpected findings. Meanwhile, "Dickens' A Tale of Two Cities" provides a fictional lens through which to contemplate the social fabric and its intricate weavings, mirroring the complexities we encounter in our research.

In undertaking this unconventional investigation, our team embraced a multidisciplinary approach, drawing inspiration from unexpected sources such as children's cartoons. Through immersive analysis of the animated series "Scooby-Doo," we gleaned valuable insights into the pursuit of hidden truths and the uncovering of unexpected relationships. Furthermore, the ingenuity of "Phineas and Ferb" sparked a renewed sense of creativity in approaching statistical inquiry, encouraging us to chart unexplored territories of analysis with fervor and whimsy.

Dad Joke Alert: Why did the seamstress go to space? She heard it was "sew" far out!

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 The number of tailors, dressmakers, and custom sewers in Alabama and Burglaries in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 Bureau of Larbor Statistics and FBI Criminal Justice Information Services . You used data from 2003 to 2022

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]]
Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama

[[ABSTRACT]]
This study aims to examine the intriguing relationship between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state. Leveraging data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services, we endeavored to stitch together insights into this seemingly disparate pairing. Our findings revealed a significant correlation coefficient of 0.8237858 and p < 0.01 for the period spanning from 2003 to 2022.

Dad Joke Alert: What did the dressmaker say when asked if she was a cat person or a dog person? "I'm definitely a sew-er, not a fur-rier!"

Through meticulous analysis, we discovered that as the number of tailors and custom sewers increased in Alabama, there was a corresponding rise in the frequency of burglaries. This unexpected association challenges traditional assumptions and necessitates further investigation into the underlying factors at play. Perhaps there are threads of causality waiting to be unraveled, or could it simply be a fabric of coincidence? Our paper posits that the situation might best be described as a "seamless" correlation, demanding deeper exploration both theoretically and empirically.

Dad Joke Alert: Why did the tailor refuse to play hide and seek? Because he always felt like he was cut out for the job!

In conclusion, our research illuminates a peculiar link between the livelihood of tailors and the occurrence of burglaries in Alabama. This study not only prompts a reevaluation of conventional assumptions but also underscores the value of multidisciplinary inquiry, illustrating that even in the realm of statistics, unexpected patterns may await discovery amidst the fabric of data.

Dad Joke Alert: What's a tailor's favorite kind of music? Sewing-ger

[[INTRODUCTION]]
The study of crime rates and their relationship to various socioeconomic factors has long been a subject of academic inquiry. However, one area that has received relatively scant attention is the potential connection between the number of tailors, dressmakers, and custom sewers in a given area and the incidence of burglaries. This unusual pairing of variables may at first seem as incongruous as, well, a needle in a haystack.
Dad Joke Alert: Why do tailors make terrible sailors? They're always trying to hem in the horizon!
Nonetheless, the present study seeks to unravel this intriguing thread of inquiry by analyzing the data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services pertaining to Alabama. The state of Alabama provides an interesting setting for this investigation, given its rich history of textile manufacturing and its diverse communities, from metropolitan areas to rural enclaves.
Dad Joke Alert: Why wasn't the dressmaker afraid of ghosts? She knew she had a spool of thread!
The correlation coefficient obtained in our analysis is notably robust, with a value of 0.8237858 and a p-value less than 0.01, suggesting a strong statistical relationship between the number of tailors and custom sewers and the occurrences of burglaries. This finding may appear as unlikely as finding a thimble in a haystack, but it demands serious consideration and further exploration.
Dad Joke Alert: What did the tailor eat for lunch? A seam-ur sandwich!
Our paper is structured as follows: Section 2 presents a review of the relevant literature on the relationship between socioeconomic factors and crime rates, with a specific focus on the role of artisanal professions. Section 3 outlines the methodology employed in gathering and analyzing the data, emphasizing the steps taken to ensure robustness and reliability. Section 4 details the results of our analysis, with a fine-tooth comb scrutiny of the findings and their implications. Finally, in Section 5, we offer our conclusions and suggestions for future research, highlighting the practical and theoretical implications of our unexpected findings.
Dad Joke Alert: Why did the tailor sit by the window when he sewed? He wanted to make some seams with a view!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The methodology employed in this study involved a comprehensive data collection process to ascertain the number of tailors, dressmakers, and custom sewers, alongside the incidence of burglaries in the state of Alabama. The data was gathered from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services, covering the period from 2003 to 2022.

To obtain the number of tailors and custom sewers, an extensive internet search was conducted, utilizing various search engines and online directories. The key terms utilized included "tailors in Alabama," "custom sewers in Alabama," and "dressmakers in Alabama." Each search yielded a cornucopia of results, which were meticulously sifted through to ensure comprehensive coverage. A particularly vexing search involved distinguishing between professional tailors and those specializing in alterations, where the line between the two appeared as blurred as a badly hemmed dress!

Dad Joke Alert: Why do tailors make terrible dancers? They always seem to get caught in a pattern!

The obtained data was cross-referenced with the Bureau of Labor Statistics to corroborate the figures and ensure their accuracy. Additionally, site visits to known tailor shops and independent dressmakers were conducted to validate the online data. One particularly memorable visit involved an animated discussion on the stitching techniques utilized in different garments, revealing insights as enlightening as a well-placed spotlight on a stage.

To determine the incidence of burglaries, the FBI's Uniform Crime Reporting (UCR) program data were utilized. The UCR data were culled for burglary occurrences in the state of Alabama for the same period under consideration. The process of accessing the UCR data entailed navigating a maze of bureaucratic procedures and security protocols, reminiscent of the complexities involved in threading a particularly stubborn needle.

The collected data were subjected to rigorous statistical analyses to ascertain the correlation coefficient between the number of tailors, dressmakers, and custom sewers and the occurrences of burglaries. In the tradition of meticulous craftsmanship, various statistical techniques such as regression analysis and time series analysis were employed to unravel the complex web of associations. Our statistical models were developed with the same precision as a tailor crafting a bespoke suit, ensuring the robustness and reliability of our findings.

Dad Joke Alert: Why did the dressmaker feel so good about herself? She knew she was a cut above the rest!

In conclusion, the methodology followed in this study skillfully navigated the diverse sources of data available, employing both modern internet searches and traditional site visits. The statistical analyses performed were as thorough as the stitching on a finely tailored garment, bearing testament to the rigor and care applied in uncovering the relationship between the number of tailors and custom sewers and the incidence of burglaries in Alabama.

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 The number of tailors, dressmakers, and custom sewers in Alabama and Burglaries in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 Bureau of Larbor Statistics and FBI Criminal Justice Information Services .

For the time period 2003 to 2022, you found a correlation 0.8237858, r-squared of 0.6786230, 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]]
Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama

[[ABSTRACT]]
This study aims to examine the intriguing relationship between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state. Leveraging data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services, we endeavored to stitch together insights into this seemingly disparate pairing. Our findings revealed a significant correlation coefficient of 0.8237858 and p < 0.01 for the period spanning from 2003 to 2022.

Dad Joke Alert: What did the dressmaker say when asked if she was a cat person or a dog person? "I'm definitely a sew-er, not a fur-rier!"

Through meticulous analysis, we discovered that as the number of tailors and custom sewers increased in Alabama, there was a corresponding rise in the frequency of burglaries. This unexpected association challenges traditional assumptions and necessitates further investigation into the underlying factors at play. Perhaps there are threads of causality waiting to be unraveled, or could it simply be a fabric of coincidence? Our paper posits that the situation might best be described as a "seamless" correlation, demanding deeper exploration both theoretically and empirically.

Dad Joke Alert: Why did the tailor refuse to play hide and seek? Because he always felt like he was cut out for the job!

In conclusion, our research illuminates a peculiar link between the livelihood of tailors and the occurrence of burglaries in Alabama. This study not only prompts a reevaluation of conventional assumptions but also underscores the value of multidisciplinary inquiry, illustrating that even in the realm of statistics, unexpected patterns may await discovery amidst the fabric of data.

Dad Joke Alert: What's a tailor's favorite kind of music? Sewing-ger

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The study of crime rates and their relationship to various socioeconomic factors has long been a subject of academic inquiry. However, one area that has received relatively scant attention is the potential connection between the number of tailors, dressmakers, and custom sewers in a given area and the incidence of burglaries. This unusual pairing of variables may at first seem as incongruous as, well, a needle in a haystack.
Dad Joke Alert: Why do tailors make terrible sailors? They're always trying to hem in the horizon!
Nonetheless, the present study seeks to unravel this intriguing thread of inquiry by analyzing the data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services pertaining to Alabama. The state of Alabama provides an interesting setting for this investigation, given its rich history of textile manufacturing and its diverse communities, from metropolitan areas to rural enclaves.
Dad Joke Alert: Why wasn't the dressmaker afraid of ghosts? She knew she had a spool of thread!
The correlation coefficient obtained in our analysis is notably robust, with a value of 0.8237858 and a p-value less than 0.01, suggesting a strong statistical relationship between the number of tailors and custom sewers and the occurrences of burglaries. This finding may appear as unlikely as finding a thimble in a haystack, but it demands serious consideration and further exploration.
Dad Joke Alert: What did the tailor eat for lunch? A seam-ur sandwich!
Our paper is structured as follows: Section 2 presents a review of the relevant literature on the relationship between socioeconomic factors and crime rates, with a specific focus on the role of artisanal professions. Section 3 outlines the methodology employed in gathering and analyzing the data, emphasizing the steps taken to ensure robustness and reliability. Section 4 details the results of our analysis, with a fine-tooth comb scrutiny of the findings and their implications. Finally, in Section 5, we offer our conclusions and suggestions for future research, highlighting the practical and theoretical implications of our unexpected findings.
Dad Joke Alert: Why did the tailor sit by the window when he sewed? He wanted to make some seams with a view!

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of the data revealed a strong positive correlation between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state over the period from 2003 to 2022. The correlation coefficient obtained was 0.8237858, indicating a robust relationship between these seemingly unrelated variables. This finding may seem as surprising as finding a thimble in a haystack, but it evokes a serious reconsideration of traditional assumptions.

The r-squared value of 0.6786230 further supports the substantial influence of the number of tailors and custom sewers on the occurrences of burglaries. This suggests that approximately 68% of the variability in burglary rates in Alabama can be explained by the changes in the number of tailors and custom sewers. Who would have thought that the sewing needle could have such a strong influence on the haystack of burglary rates?

The p-value of less than 0.01 indicates that the observed correlation is statistically significant, providing strong evidence against the null hypothesis of no relationship between the variables. This result, though unexpected, brings to mind the old sewing adage, "Measure twice, cut once," emphasizing the importance of thoroughly considering unexpected results before dismissing them outright.

The scatterplot (Fig. 1) visually represents the strong positive correlation between the number of tailors, dressmakers, and custom sewers and the incidence of burglaries in Alabama. This graphic depiction of the data further solidifies our findings and highlights the importance of further investigation into this intriguing relationship.

Dad Joke Alert: Why did the sewing machine break up with the tailor? It just couldn't seem to get the thread tension right!

In conclusion, the results of this study demonstrate a surprisingly strong association between the number of tailors, dressmakers, and custom sewers in Alabama and the frequency of burglaries in the state. These findings challenge conventional wisdom and open the door to further research and exploration into the underlying mechanisms driving this unexpected correlation.

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 The number of tailors, dressmakers, and custom sewers in Alabama and Burglaries in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama

[[ABSTRACT]]
This study aims to examine the intriguing relationship between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state. Leveraging data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services, we endeavored to stitch together insights into this seemingly disparate pairing. Our findings revealed a significant correlation coefficient of 0.8237858 and p < 0.01 for the period spanning from 2003 to 2022.

Dad Joke Alert: What did the dressmaker say when asked if she was a cat person or a dog person? "I'm definitely a sew-er, not a fur-rier!"

Through meticulous analysis, we discovered that as the number of tailors and custom sewers increased in Alabama, there was a corresponding rise in the frequency of burglaries. This unexpected association challenges traditional assumptions and necessitates further investigation into the underlying factors at play. Perhaps there are threads of causality waiting to be unraveled, or could it simply be a fabric of coincidence? Our paper posits that the situation might best be described as a "seamless" correlation, demanding deeper exploration both theoretically and empirically.

Dad Joke Alert: Why did the tailor refuse to play hide and seek? Because he always felt like he was cut out for the job!

In conclusion, our research illuminates a peculiar link between the livelihood of tailors and the occurrence of burglaries in Alabama. This study not only prompts a reevaluation of conventional assumptions but also underscores the value of multidisciplinary inquiry, illustrating that even in the realm of statistics, unexpected patterns may await discovery amidst the fabric of data.

Dad Joke Alert: What's a tailor's favorite kind of music? Sewing-ger

[[LITERATURE REVIEW]]
The literature on the relationship between socioeconomic factors and crime rates has traditionally focused on variables such as poverty, education, and employment. In "Smith et al.'s 2015 study," the authors find correlations between these factors and crime rates, highlighting the complex interplay of social and economic conditions. Similarly, "Doe and Jones' 2018 research" delves into the impact of urbanization on crime, shedding light on the unique dynamics of metropolitan areas.
Moving beyond the conventional themes, our study delves into the intriguing association between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries. This unorthodox exploration aligns with the growing recognition of the need to consider diverse and unconventional variables in understanding crime patterns. As "Book on Unconventional Criminological Markers" suggests, expanding the scope of inquiry to include non-traditional factors could yield surprising insights into criminal behavior.
Shifting into the realm of fiction, "Murakami's The Wind-Up Bird Chronicle" explores the enigmatic nature of connections, offering a compelling allegory for our unexpected findings. Meanwhile, "Dickens' A Tale of Two Cities" provides a fictional lens through which to contemplate the social fabric and its intricate weavings, mirroring the complexities we encounter in our research.
In undertaking this unconventional investigation, our team embraced a multidisciplinary approach, drawing inspiration from unexpected sources such as children's cartoons. Through immersive analysis of the animated series "Scooby-Doo," we gleaned valuable insights into the pursuit of hidden truths and the uncovering of unexpected relationships. Furthermore, the ingenuity of "Phineas and Ferb" sparked a renewed sense of creativity in approaching statistical inquiry, encouraging us to chart unexplored territories of analysis with fervor and whimsy.
Dad Joke Alert: Why did the seamstress go to space? She heard it was "sew" far out!

[[RESULTS]]
The analysis of the data revealed a strong positive correlation between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state over the period from 2003 to 2022. The correlation coefficient obtained was 0.8237858, indicating a robust relationship between these seemingly unrelated variables. This finding may seem as surprising as finding a thimble in a haystack, but it evokes a serious reconsideration of traditional assumptions.
The r-squared value of 0.6786230 further supports the substantial influence of the number of tailors and custom sewers on the occurrences of burglaries. This suggests that approximately 68% of the variability in burglary rates in Alabama can be explained by the changes in the number of tailors and custom sewers. Who would have thought that the sewing needle could have such a strong influence on the haystack of burglary rates?
The p-value of less than 0.01 indicates that the observed correlation is statistically significant, providing strong evidence against the null hypothesis of no relationship between the variables. This result, though unexpected, brings to mind the old sewing adage, "Measure twice, cut once," emphasizing the importance of thoroughly considering unexpected results before dismissing them outright.
The scatterplot (Fig. 1) visually represents the strong positive correlation between the number of tailors, dressmakers, and custom sewers and the incidence of burglaries in Alabama. This graphic depiction of the data further solidifies our findings and highlights the importance of further investigation into this intriguing relationship.
Dad Joke Alert: Why did the sewing machine break up with the tailor? It just couldn't seem to get the thread tension right!
In conclusion, the results of this study demonstrate a surprisingly strong association between the number of tailors, dressmakers, and custom sewers in Alabama and the frequency of burglaries in the state. These findings challenge conventional wisdom and open the door to further research and exploration into the underlying mechanisms driving this unexpected correlation.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study provide compelling evidence of a significant relationship between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state. While this association may initially appear as incongruous as a sewing machine in a police station, it aligns with prior research that has underscored the complex interplay between unconventional variables and criminal behavior.

Our results supported the prior research that has emphasized the need to consider diverse and unconventional variables in understanding crime patterns. In line with "Smith et al.'s 2015 study" and "Doe and Jones' 2018 research," which delved into the multifaceted nature of socioeconomic factors and crime rates, our findings extend this paradigm by highlighting the role of seemingly unrelated occupational demographics in shaping criminal behavior.

The unexpected correlation coefficient and p-value indicate a robust statistical relationship between the number of tailors and custom sewers and the occurrence of burglaries, reinforcing the importance of considering non-traditional influences on crime rates. This challenges the assumption that variables such as poverty and education alone are sufficient in capturing the complexity of criminal behavior. It appears that in the social fabric of crime, the stitches of tailors may hold significance that has been previously overlooked.

Our findings also evoke comparisons with the themes of unconventional connections in literature, as discussed in "Murakami's The Wind-Up Bird Chronicle" and "Dickens' A Tale of Two Cities." Just as these literary works unravel enigmatic connections, our study unveils a surprising link between the livelihood of tailors and the occurrence of burglaries in Alabama, reinforcing the notion that the study of crime and its determinants requires a broad and open-minded perspective.

The inclusion of unconventional markers in our investigation, such as drawing insights from children's cartoons as detailed in the literature review, proved instrumental in guiding our analytical approach. From "Scooby-Doo," we learned the importance of persistence in uncovering hidden truths, a parallel to the diligent pursuit of statistical relationships. Meanwhile, "Phineas and Ferb" inspired a creative lens through which to explore uncharted territories of analysis, encouraging us to approach the investigation with both rigor and whimsy.

Our research has thus contributed to the expanding tapestry of criminological inquiry, weaving together the unique threads of unconventional variables and unexpected relationships. The serendipitous nature of these findings affirms the need for continued exploration and underscores the value of interdisciplinary perspectives in shedding light on the intricate workings of criminal behavior.

Dad Joke Alert: Why did the tailor always carry a pencil and paper? To draw out his designs, of course!

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 The number of tailors, dressmakers, and custom sewers in Alabama and Burglaries in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama

[[ABSTRACT]]
This study aims to examine the intriguing relationship between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state. Leveraging data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services, we endeavored to stitch together insights into this seemingly disparate pairing. Our findings revealed a significant correlation coefficient of 0.8237858 and p < 0.01 for the period spanning from 2003 to 2022.

Dad Joke Alert: What did the dressmaker say when asked if she was a cat person or a dog person? "I'm definitely a sew-er, not a fur-rier!"

Through meticulous analysis, we discovered that as the number of tailors and custom sewers increased in Alabama, there was a corresponding rise in the frequency of burglaries. This unexpected association challenges traditional assumptions and necessitates further investigation into the underlying factors at play. Perhaps there are threads of causality waiting to be unraveled, or could it simply be a fabric of coincidence? Our paper posits that the situation might best be described as a "seamless" correlation, demanding deeper exploration both theoretically and empirically.

Dad Joke Alert: Why did the tailor refuse to play hide and seek? Because he always felt like he was cut out for the job!

In conclusion, our research illuminates a peculiar link between the livelihood of tailors and the occurrence of burglaries in Alabama. This study not only prompts a reevaluation of conventional assumptions but also underscores the value of multidisciplinary inquiry, illustrating that even in the realm of statistics, unexpected patterns may await discovery amidst the fabric of data.

Dad Joke Alert: What's a tailor's favorite kind of music? Sewing-ger

[[INTRDUCTION]]
The study of crime rates and their relationship to various socioeconomic factors has long been a subject of academic inquiry. However, one area that has received relatively scant attention is the potential connection between the number of tailors, dressmakers, and custom sewers in a given area and the incidence of burglaries. This unusual pairing of variables may at first seem as incongruous as, well, a needle in a haystack.
Dad Joke Alert: Why do tailors make terrible sailors? They're always trying to hem in the horizon!
Nonetheless, the present study seeks to unravel this intriguing thread of inquiry by analyzing the data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services pertaining to Alabama. The state of Alabama provides an interesting setting for this investigation, given its rich history of textile manufacturing and its diverse communities, from metropolitan areas to rural enclaves.
Dad Joke Alert: Why wasn't the dressmaker afraid of ghosts? She knew she had a spool of thread!
The correlation coefficient obtained in our analysis is notably robust, with a value of 0.8237858 and a p-value less than 0.01, suggesting a strong statistical relationship between the number of tailors and custom sewers and the occurrences of burglaries. This finding may appear as unlikely as finding a thimble in a haystack, but it demands serious consideration and further exploration.
Dad Joke Alert: What did the tailor eat for lunch? A seam-ur sandwich!
Our paper is structured as follows: Section 2 presents a review of the relevant literature on the relationship between socioeconomic factors and crime rates, with a specific focus on the role of artisanal professions. Section 3 outlines the methodology employed in gathering and analyzing the data, emphasizing the steps taken to ensure robustness and reliability. Section 4 details the results of our analysis, with a fine-tooth comb scrutiny of the findings and their implications. Finally, in Section 5, we offer our conclusions and suggestions for future research, highlighting the practical and theoretical implications of our unexpected findings.
Dad Joke Alert: Why did the tailor sit by the window when he sewed? He wanted to make some seams with a view!

[[RESULTS]]
The analysis of the data revealed a strong positive correlation between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state over the period from 2003 to 2022. The correlation coefficient obtained was 0.8237858, indicating a robust relationship between these seemingly unrelated variables. This finding may seem as surprising as finding a thimble in a haystack, but it evokes a serious reconsideration of traditional assumptions.
The r-squared value of 0.6786230 further supports the substantial influence of the number of tailors and custom sewers on the occurrences of burglaries. This suggests that approximately 68% of the variability in burglary rates in Alabama can be explained by the changes in the number of tailors and custom sewers. Who would have thought that the sewing needle could have such a strong influence on the haystack of burglary rates?
The p-value of less than 0.01 indicates that the observed correlation is statistically significant, providing strong evidence against the null hypothesis of no relationship between the variables. This result, though unexpected, brings to mind the old sewing adage, "Measure twice, cut once," emphasizing the importance of thoroughly considering unexpected results before dismissing them outright.
The scatterplot (Fig. 1) visually represents the strong positive correlation between the number of tailors, dressmakers, and custom sewers and the incidence of burglaries in Alabama. This graphic depiction of the data further solidifies our findings and highlights the importance of further investigation into this intriguing relationship.
Dad Joke Alert: Why did the sewing machine break up with the tailor? It just couldn't seem to get the thread tension right!
In conclusion, the results of this study demonstrate a surprisingly strong association between the number of tailors, dressmakers, and custom sewers in Alabama and the frequency of burglaries in the state. These findings challenge conventional wisdom and open the door to further research and exploration into the underlying mechanisms driving this unexpected correlation.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research illuminates a peculiar link between the livelihood of tailors and the occurrence of burglaries in Alabama. The unexpected positive correlation coefficient and the statistically significant p-value highlight the pressing need for further investigation into this unlikely relationship. One could say this correlation is quite "sew-prising"!

It is evident that the livelihood of tailors, dressmakers, and custom sewers is intertwined with the occurrence of burglaries in Alabama, challenging conventional assumptions and emphasizing the need for multidisciplinary inquiry into this unexplored area of crime research. The magnitude of the correlation coefficient, much like a needle in a haystack, demands serious consideration and further exploration.

While our findings may initially seem as unlikely as finding a thimble in a haystack, they underscore the value of conducting research that may lead to unexpected patterns amidst the fabric of data. This "seamless" correlation prompts the need for deeper theoretical and empirical exploration, as the fabric of causality underlying this relationship remains to be stitched together.

Dad Joke Alert: What did the dressmaker say when asked if she was a cat person or a dog person? "I'm definitely a sew-er, not a fur-rier!"

No further research is needed in this area.

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 Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Criminological Crafts

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 Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Textile Studies and Criminology

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 Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama with an abstract of This study aims to examine the intriguing relationship between the number of tailors, dressmakers, and custom sewers in Alabama and the incidence of burglaries in the state. Leveraging data from the Bureau of Labor Statistics and the FBI Criminal Justice Information Services, we endeavored to stitch together insights into this seemingly disparate pairing. Our findings revealed a significant correlation coefficient of 0.8237858 and p < 0.01 for the period spanning from 2003 to 2022.
Dad Joke Alert: What did the dressmaker say when asked if she was a cat person or a dog person? "I'm definitely a sew-er, not a fur-rier!"
Through meticulous analysis, we discovered that as the number of tailors and custom sewers increased in Alabama, there was a corresponding rise in the frequency of burglaries. This unexpected association challenges traditional assumptions and necessitates further investigation into the underlying factors at play. Perhaps there are threads of causality waiting to be unraveled, or could it simply be a fabric of coincidence? Our paper posits that the situation might best be described as a "seamless" correlation, demanding deeper exploration both theoretically and empirically.
Dad Joke Alert: Why did the tailor refuse to play hide and seek? Because he always felt like he was cut out for the job!
In conclusion, our research illuminates a peculiar link between the livelihood of tailors and the occurrence of burglaries in Alabama. This study not only prompts a reevaluation of conventional assumptions but also underscores the value of multidisciplinary inquiry, illustrating that even in the realm of statistics, unexpected patterns may await discovery amidst the fabric of data.
Dad Joke Alert: What's a tailor's favorite kind of music? Sewing-ger

ChatGPT:

tailors, dressmakers, custom sewers, burglaries, Alabama, relationship, correlation coefficient, Bureau of Labor Statistics, FBI Criminal Justice Information Services, statistical analysis, underlying factors, causality, empirical investigation, multidisciplinary inquiry

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

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Data details

The number of tailors, dressmakers, and custom sewers in Alabama
Detailed data title: BLS estimate of tailors, dressmakers, and custom sewers in Alabama
Source: Bureau of Larbor Statistics
See what else correlates with The number of tailors, dressmakers, and custom sewers in Alabama

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

Correlation r = 0.8237858 (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 = 0.6786230 (Coefficient of determination)
This means 67.9% of the change in the one variable (i.e., Burglaries in Alabama) is predictable based on the change in the other (i.e., The number of tailors, dressmakers, and custom sewers in Alabama) over the 20 years from 2003 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.05E-6.^Show 0.0000080502044742550150000000
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 0.82 in 0.000805% of random cases. Said differently, if you correlated 124,220 random variables^Note You don't actually need 124 thousand 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 19 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 19 because we have two variables measured over a period of 20 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.

[ 0.6, 0.93 ] 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.

	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
The number of tailors, dressmakers, and custom sewers in Alabama (Laborers)	310	380	570	460	430	420	310	310	330	490	450	330	290	260	210	210	220	210	40	150
Burglaries in Alabama (Burglary rate)	960.2	987	955.8	973.7	980.6	1081.3	1037.3	887.8	1064.2	985.6	877.3	819.6	726.5	700.4	641.4	595.4	505.4	399.5	269	283.9

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([310,380,570,460,430,420,310,310,330,490,450,330,290,260,210,210,220,210,40,150,])
array_2 = np.array([960.2,987,955.8,973.7,980.6,1081.3,1037.3,887.8,1064.2,985.6,877.3,819.6,726.5,700.4,641.4,595.4,505.4,399.5,269,283.9,])
array_1_name = "The number of tailors, dressmakers, and custom sewers in Alabama"
array_2_name = "Burglaries in Alabama"

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

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

Reuseable content

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

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

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

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

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

Download images for these variables:

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

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

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
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Line chart for only The number of tailors, dressmakers, and custom sewers in Alabama
Line chart for only Burglaries in Alabama
AI-generated correlation image
The spurious research paper: Sew Many Burglaries: Unraveling the Connection Between Tailors and Burglaries in Alabama

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Correlation ID: 2260 · Black Variable ID: 4654 · Red Variable ID: 20083


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