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Spurious correlation #4,032 · 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 adhesive bonding machine operators in New Jersey and the second variable is US bank failures.  The chart goes from 2010 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

The decrease in adhesive bonding machine operators led to less sticky situations overall, which improved the financial stability of banks. It seems the banks were able to bond better without as much operator intervention.

Model: dalle-3
Prompt: Generate an image that encapsulates the concept of efficient adhesive bonding in a New Jersey factory, where a smaller team of operators oversees the production line. The scene should portray the workers in a brutalist environment, focusing on the precision and concentration evident in their work. The image should also include a graph showing the decrease in US bank failures, symbolizing the impact of the efficient adhesive bonding process on the banking system. The emphasis should be on the juxtaposition of the industrial setting and the positive impact on the financial sector. 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 adhesive bonding machine operators in New Jersey and US bank failures. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: A Discovery magazine cover image Psychedelic Brutalism a Polaroid photo 3D Pixar Style
ChatGPT: Brutalism

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 adhesive bonding machine operators in New Jersey and US bank failures, in the following situation: Because with fewer operators, there were fewer adhesive mishaps, leading to less glue getting stuck on money, preventing bank machines from malfunctioning and contributing to a decrease in US bank failures.. Keep the description simple.
ChatGPT: In a New Jersey factory, a smaller team of adhesive bonding machine operators carefully oversees the production line. As a result, there are fewer adhesive mishaps, leading to less glue getting stuck on the money passing through the bank machines. This scene is juxtaposed with a graph showing a decrease in US bank failures, depicting the impact of the efficient adhesive bonding process on the banking system.

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: [ Brutalism ] and depicting this scene: In a New Jersey factory, a smaller team of adhesive bonding machine operators carefully oversees the production line. As a result, there are fewer adhesive mishaps, leading to less glue getting stuck on the money passing through the bank machines. This scene is juxtaposed with a graph showing a decrease in US bank failures, depicting the impact of the efficient adhesive bonding process on the banking system. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that encapsulates the concept of efficient adhesive bonding in a New Jersey factory, where a smaller team of operators oversees the production line. The scene should portray the workers in a brutalist environment, focusing on the precision and concentration evident in their work. The image should also include a graph showing the decrease in US bank failures, symbolizing the impact of the efficient adhesive bonding process on the banking system. The emphasis should be on the juxtaposition of the industrial setting and the positive impact on the financial sector.

*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 a decrease in The number of adhesive bonding machine operators in New Jersey caused US bank failures to decrease. Include one good pun.

AI academic paper

(Because p < 0.01)
Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures

The Journal of Unconventional Connections

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between The number of adhesive bonding machine operators in New Jersey and US bank failures. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Your research team used data from Bureau of Larbor Statistics and FDIC to assess this nagging question. You found a correlation coefficient of 0.8164906 and p < 0.01 for 2010 to 2022.

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]]
Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures

[[ABSTRACT]]
The use of adhesive bonding machine operators in New Jersey has been a sticking point in the study of economic indicators. In this research, we explore the surprising connection between the number of adhesive bonding machine operators in the Garden State and the occurrence of US bank failures. Imagine the "bond" between these seemingly unrelated variables being stickier than superglue!

Employing data from the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation, we conducted a comprehensive analysis from 2010 to 2022. Our findings reveal a striking correlation coefficient of 0.8164906 and a remarkably significant p-value of less than 0.01, proving that there is indeed a strong relationship between these disparate elements. Talk about a "sticking" point in economic research!


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between The number of adhesive bonding machine operators in New Jersey and US bank failures. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures

[[ABSTRACT]]
The use of adhesive bonding machine operators in New Jersey has been a sticking point in the study of economic indicators. In this research, we explore the surprising connection between the number of adhesive bonding machine operators in the Garden State and the occurrence of US bank failures. Imagine the "bond" between these seemingly unrelated variables being stickier than superglue!

Employing data from the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation, we conducted a comprehensive analysis from 2010 to 2022. Our findings reveal a striking correlation coefficient of 0.8164906 and a remarkably significant p-value of less than 0.01, proving that there is indeed a strong relationship between these disparate elements. Talk about a "sticking" point in economic research!

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The study of economic indicators is often a sticky situation, with researchers constantly striving to uncover the hidden connections between seemingly unrelated variables. In this paper, we delve into the intriguing association between the number of adhesive bonding machine operators in New Jersey and the occurrence of US bank failures. It's a bond that goes beyond just sticking things together – it's a statistical connection that may surprise even the most adhesive-minded analysts.

Now, you might be thinking, "What does adhesive bonding have to do with bank failures?" Well, stick around, and we'll unravel this adhesive mystery together! It's a tale of numbers, statistics, and a touch of humor to keep things from getting too cemented in seriousness.

Adhesive bonding machine operators, often working behind the scenes, have not been the focus of economic studies in the past. However, as we immerse ourselves in the world of statistical analysis, we find that these operators are not merely sticking to their routine tasks – they may hold a key piece to the economic puzzle. This discovery might just "seal" the deal on the importance of considering unconventional variables in economic research!

In the world of statistical analysis, we often encounter unexpected relationships that defy conventional wisdom. As we explore the correlation between adhesive bonding machine operators in New Jersey and US bank failures, we are reminded that in the realm of statistics, nothing should be stuck in stone. We are truly "bonding" with the data to reveal patterns that may have eluded previous researchers.

As we embark on this research journey, let's strive to maintain a sense of elasticity in our interpretations. After all, in the world of statistics, a bit of flexibility can prevent us from getting stuck in rigid assumptions. Plus, it gives us the opportunity to sneak in a dad joke or two along the way – a statistical analysis, if you will, of humor distribution in academic writing!

So, without further ado, let's peel back the layers of this intriguing relationship and explore the adhesiveness of economic variables in a way that's not just about sticking to the status quo. After all, in the world of research, a little "bonding" can go a long way!


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft 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 adhesive bonding machine operators in New Jersey and US bank failures. 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]]
Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures

[[ABSTRACT]]
The use of adhesive bonding machine operators in New Jersey has been a sticking point in the study of economic indicators. In this research, we explore the surprising connection between the number of adhesive bonding machine operators in the Garden State and the occurrence of US bank failures. Imagine the "bond" between these seemingly unrelated variables being stickier than superglue!

Employing data from the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation, we conducted a comprehensive analysis from 2010 to 2022. Our findings reveal a striking correlation coefficient of 0.8164906 and a remarkably significant p-value of less than 0.01, proving that there is indeed a strong relationship between these disparate elements. Talk about a "sticking" point in economic research!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The study of economic indicators is often a sticky situation, with researchers constantly striving to uncover the hidden connections between seemingly unrelated variables. In this paper, we delve into the intriguing association between the number of adhesive bonding machine operators in New Jersey and the occurrence of US bank failures. It's a bond that goes beyond just sticking things together – it's a statistical connection that may surprise even the most adhesive-minded analysts.
Now, you might be thinking, "What does adhesive bonding have to do with bank failures?" Well, stick around, and we'll unravel this adhesive mystery together! It's a tale of numbers, statistics, and a touch of humor to keep things from getting too cemented in seriousness.
Adhesive bonding machine operators, often working behind the scenes, have not been the focus of economic studies in the past. However, as we immerse ourselves in the world of statistical analysis, we find that these operators are not merely sticking to their routine tasks – they may hold a key piece to the economic puzzle. This discovery might just "seal" the deal on the importance of considering unconventional variables in economic research!
In the world of statistical analysis, we often encounter unexpected relationships that defy conventional wisdom. As we explore the correlation between adhesive bonding machine operators in New Jersey and US bank failures, we are reminded that in the realm of statistics, nothing should be stuck in stone. We are truly "bonding" with the data to reveal patterns that may have eluded previous researchers.
As we embark on this research journey, let's strive to maintain a sense of elasticity in our interpretations. After all, in the world of statistics, a bit of flexibility can prevent us from getting stuck in rigid assumptions. Plus, it gives us the opportunity to sneak in a dad joke or two along the way – a statistical analysis, if you will, of humor distribution in academic writing!
So, without further ado, let's peel back the layers of this intriguing relationship and explore the adhesiveness of economic variables in a way that's not just about sticking to the status quo. After all, in the world of research, a little "bonding" can go a long way!

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The study of economic indicators and their interplay with unexpected variables has led researchers to uncover surprising connections that challenge traditional economic paradigms. In "Smith et al.'s Study on Unconventional Economic Indicators," the authors find that seemingly unrelated variables, such as the number of adhesive bonding machine operators in New Jersey, may hold significance in understanding economic trends. As we delve further into the adhesive realm, we encounter a plethora of literature that sheds light on this unexpected correlation.

Enter "The Adhesive Revolution" by John Doe, a comprehensive exploration of the role of adhesives in modern industries. While the book primarily focuses on technological advancements, Doe's insights inadvertently opened the door to understanding the economic implications of adhesive-based professions. Who would have thought that the world of economics could stick its nose into the world of adhesive technology?

Deepening our exploration, the works of Martha Jones in "Adhesion Economics: A Sticky Situation" provide a thought-provoking analysis of unconventional economic indicators. Jones' examination of non-traditional variables prompts us to consider the adhesive bonding machine operators as more than just individuals tasked with sticking things together – they might just hold a clue to understanding broader economic shifts. It seems the economics literature is getting quite "stuck" on the topic of adhesion!

Moving into the realm of fiction that seems oddly relevant, the classic "The Adhesive Anomaly" by Arthur C. Clarke presents a futuristic society where economic prosperity hinges on unorthodox factors, including the role of adhesive-based occupations. Though a work of fiction, Clarke's portrayal of an adhesive-centric economy offers a whimsical perspective on the potential impact of seemingly minor professions in shaping macroscopic economic outcomes. It's almost as if he knew the stickiness of economic analysis would become a hot topic!

Now, turning to more unexpected sources of insight, the famed cartoon series "The Adventures of Adhesive Andy" provides a lighthearted, yet surprisingly relevant, take on the world of adhesive bonding. While the show's primary aim is entertainment, its depiction of adhesive-related occupations might just hold a nugget of truth. Perhaps there's something to be learned from the escapades of a cartoon character navigating the sticky world of professional adhesion. Who would have thought that Saturday morning cartoons could offer insight into economic research?

In the whimsical realm of children's literature, "The Sticky Solutions of Sarah and Sam" by Linda Lemon introduces young readers to the concept of problem-solving through creative uses of adhesives. While not a traditional research source, this children's book serves as a playful reminder that unconventional thinking and imaginative exploration may lead to unexpected connections in academic pursuits. It seems that even the youngest minds are being drawn into the captivating world of adhesive economics!

As we navigate through this diverse array of sources, ranging from scholarly literature to fictional narratives and childhood entertainment, the underlying theme remains clear – the study of adhesive bonding machine operators in New Jersey goes well beyond the surface-level "stickiness." These seemingly unrelated variables have woven themselves into a tapestry of economic inquiry, challenging researchers to embrace unconventional perspectives and, of course, to appreciate the occasional adhesive-related pun.


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between The number of adhesive bonding machine operators in New Jersey and US bank failures. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and FDIC . You used data from 2010 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]]
Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures

[[ABSTRACT]]
The use of adhesive bonding machine operators in New Jersey has been a sticking point in the study of economic indicators. In this research, we explore the surprising connection between the number of adhesive bonding machine operators in the Garden State and the occurrence of US bank failures. Imagine the "bond" between these seemingly unrelated variables being stickier than superglue!

Employing data from the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation, we conducted a comprehensive analysis from 2010 to 2022. Our findings reveal a striking correlation coefficient of 0.8164906 and a remarkably significant p-value of less than 0.01, proving that there is indeed a strong relationship between these disparate elements. Talk about a "sticking" point in economic research!

[[INTRODUCTION]]
The study of economic indicators is often a sticky situation, with researchers constantly striving to uncover the hidden connections between seemingly unrelated variables. In this paper, we delve into the intriguing association between the number of adhesive bonding machine operators in New Jersey and the occurrence of US bank failures. It's a bond that goes beyond just sticking things together – it's a statistical connection that may surprise even the most adhesive-minded analysts.
Now, you might be thinking, "What does adhesive bonding have to do with bank failures?" Well, stick around, and we'll unravel this adhesive mystery together! It's a tale of numbers, statistics, and a touch of humor to keep things from getting too cemented in seriousness.
Adhesive bonding machine operators, often working behind the scenes, have not been the focus of economic studies in the past. However, as we immerse ourselves in the world of statistical analysis, we find that these operators are not merely sticking to their routine tasks – they may hold a key piece to the economic puzzle. This discovery might just "seal" the deal on the importance of considering unconventional variables in economic research!
In the world of statistical analysis, we often encounter unexpected relationships that defy conventional wisdom. As we explore the correlation between adhesive bonding machine operators in New Jersey and US bank failures, we are reminded that in the realm of statistics, nothing should be stuck in stone. We are truly "bonding" with the data to reveal patterns that may have eluded previous researchers.
As we embark on this research journey, let's strive to maintain a sense of elasticity in our interpretations. After all, in the world of statistics, a bit of flexibility can prevent us from getting stuck in rigid assumptions. Plus, it gives us the opportunity to sneak in a dad joke or two along the way – a statistical analysis, if you will, of humor distribution in academic writing!
So, without further ado, let's peel back the layers of this intriguing relationship and explore the adhesiveness of economic variables in a way that's not just about sticking to the status quo. After all, in the world of research, a little "bonding" can go a long way!

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

Ah, the nitty-gritty details of our adhesive adventure! In this methodological section, we'll unravel the intricacies of how we tied together the number of adhesive bonding machine operators in New Jersey and US bank failures. Prepare for a pun-tastic journey through data collection, statistical analysis, and a sprinkle of statistical humor to keep things from getting too stuck in the serious business of research.

First and foremost, we embarked on a thorough data collection endeavor, scouring the virtual landscape for nuggets of information like intrepid scientific treasure hunters. Our primary sources of data included the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation (FDIC), which provided us with a sticky tapestry of numerical insights spanning the years 2010 to 2022.

We utilized a combination of quantitative and qualitative methods, endeavoring to adhere to the best practices in research while maintaining a sense of creativity. We were "bonded" to the idea that a touch of innovation could yield surprising results, much like discovering a hidden roll of tape in the back of a cluttered desk drawer.

To assess the number of adhesive bonding machine operators in New Jersey, we employed a combination of surveys, employment records, and industry reports. Goo-d grief, you wouldn't believe the sticky situations we encountered while untangling the workforce statistics in this specialized field. Dad joke incoming: why did the adhesive bonding machine operator go to therapy? Because they were feeling too stuck in their job!

In parallel, we delved into the FDIC's data on US bank failures, diligently tracking the rise and fall of financial institutions across the nation. It was like peeling back the layers of a particularly stubborn label – each piece of information revealing a tale of financial flux and fiscal stickiness. We were "bonding" with the data, you might say.

Once we amassed our dataset, it was time to bring out the heavy statistical artillery. We calculated correlation coefficients, performed regression analyses, and engaged in multivariate modeling with all the finesse of a maestro conducting a symphony. We were determined to uncover the hidden patterns and connections, even if it meant wading through statistical glue to do so.

In the realm of statistical analysis, we held fast to the principles of rigor and transparency. Each variable was scrutinized, examined, and prodded with the curiosity of a scientist marveling at a particularly intriguing specimen. Our goal was to leave no statistical stone unturned, even if it meant a few sticky fingers along the way.

As we adopted this hybrid approach of quantitative precision and qualitative insight, we remained ever cognizant of the potential for unexpected twists and turns in our findings. After all, in the world of research, being too rigid might lead to a situation that's, well, "adhesive" to progress.

Sticking to the plan, we applied a variety of statistical tests to scrutinize the relationship between the number of adhesive bonding machine operators in New Jersey and the incidence of US bank failures. It was a journey filled with number crunching, chart plotting, and the occasional exclamation of "Eureka!" when a compelling pattern emerged from the statistical jumble. We were on a mission to peel back the layers of economic correlation, armed with a sense of scientific humor to keep our spirits buoyant.

In summary, our methodology blended the precision of statistical analysis with the flexible adaptation of research innovation. We took the road less traveled, much like a roll of double-sided tape veering off the conventional path of adhesive endeavors. With a dash of statistical flair and a pinch of scientific whimsy, we unraveled the connection between adhesive bonding machine operators in New Jersey and US bank failures, turning a potentially sticky situation into a masterclass of statistical "bonding."


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between The number of adhesive bonding machine operators in New Jersey and US bank failures. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2010 to 2022, you found a correlation 0.8164906, r-squared of 0.6666569, 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]]
Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures

[[ABSTRACT]]
The use of adhesive bonding machine operators in New Jersey has been a sticking point in the study of economic indicators. In this research, we explore the surprising connection between the number of adhesive bonding machine operators in the Garden State and the occurrence of US bank failures. Imagine the "bond" between these seemingly unrelated variables being stickier than superglue!

Employing data from the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation, we conducted a comprehensive analysis from 2010 to 2022. Our findings reveal a striking correlation coefficient of 0.8164906 and a remarkably significant p-value of less than 0.01, proving that there is indeed a strong relationship between these disparate elements. Talk about a "sticking" point in economic research!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The study of economic indicators is often a sticky situation, with researchers constantly striving to uncover the hidden connections between seemingly unrelated variables. In this paper, we delve into the intriguing association between the number of adhesive bonding machine operators in New Jersey and the occurrence of US bank failures. It's a bond that goes beyond just sticking things together – it's a statistical connection that may surprise even the most adhesive-minded analysts.
Now, you might be thinking, "What does adhesive bonding have to do with bank failures?" Well, stick around, and we'll unravel this adhesive mystery together! It's a tale of numbers, statistics, and a touch of humor to keep things from getting too cemented in seriousness.
Adhesive bonding machine operators, often working behind the scenes, have not been the focus of economic studies in the past. However, as we immerse ourselves in the world of statistical analysis, we find that these operators are not merely sticking to their routine tasks – they may hold a key piece to the economic puzzle. This discovery might just "seal" the deal on the importance of considering unconventional variables in economic research!
In the world of statistical analysis, we often encounter unexpected relationships that defy conventional wisdom. As we explore the correlation between adhesive bonding machine operators in New Jersey and US bank failures, we are reminded that in the realm of statistics, nothing should be stuck in stone. We are truly "bonding" with the data to reveal patterns that may have eluded previous researchers.
As we embark on this research journey, let's strive to maintain a sense of elasticity in our interpretations. After all, in the world of statistics, a bit of flexibility can prevent us from getting stuck in rigid assumptions. Plus, it gives us the opportunity to sneak in a dad joke or two along the way – a statistical analysis, if you will, of humor distribution in academic writing!
So, without further ado, let's peel back the layers of this intriguing relationship and explore the adhesiveness of economic variables in a way that's not just about sticking to the status quo. After all, in the world of research, a little "bonding" can go a long way!

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our analysis of the relationship between the number of adhesive bonding machine operators in New Jersey and US bank failures has unveiled some truly sticky findings. From 2010 to 2022, we found a noteworthy correlation coefficient of 0.8164906, demonstrating a strong positive relationship between the two variables. This connection is as undeniable as a piece of tape stuck to your finger – you just can't shake it off!

Notably, the r-squared value of 0.6666569 indicates that approximately 66.67% of the variation in US bank failures can be attributed to the number of adhesive bonding machine operators in New Jersey. That's a percentage higher than the likelihood of finding a roll of tape when you need it in the office – quite remarkable, if you ask us!

With a p-value of less than 0.01, our results are statistically significant, providing robust evidence that the correlation we uncovered is not merely a fluke. It's not just a coincidence that as the number of adhesive bonding machine operators increases, the occurrence of US bank failures also tends to rise. It's a relationship that sticks like glue – pun intended!

Now, to visually capture the essence of this adhesive relationship, we present Fig. 1. This scatterplot showcases the clear and compelling correlation between the number of adhesive bonding machine operators in New Jersey and US bank failures. It's a graph that speaks louder than words, reminding us that in the world of statistics, what may initially seem as unrelated as tape and banking can actually stick together in a meaningful way – pardon the pun!

In conclusion, our research has brought to light a surprising and significant connection between the employment of adhesive bonding machine operators in New Jersey and the occurrence of US bank failures. This finding emphasizes the importance of considering unconventional variables in economic research and prompts further investigation into the factors underlying this peculiar correlation. After all, in the dynamic world of statistics, rarely does anything adhere to the expected pattern without a twist or two along the way!


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the 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 adhesive bonding machine operators in New Jersey and US bank failures. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures

[[ABSTRACT]]
The use of adhesive bonding machine operators in New Jersey has been a sticking point in the study of economic indicators. In this research, we explore the surprising connection between the number of adhesive bonding machine operators in the Garden State and the occurrence of US bank failures. Imagine the "bond" between these seemingly unrelated variables being stickier than superglue!

Employing data from the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation, we conducted a comprehensive analysis from 2010 to 2022. Our findings reveal a striking correlation coefficient of 0.8164906 and a remarkably significant p-value of less than 0.01, proving that there is indeed a strong relationship between these disparate elements. Talk about a "sticking" point in economic research!

[[LITERATURE REVIEW]]
The study of economic indicators and their interplay with unexpected variables has led researchers to uncover surprising connections that challenge traditional economic paradigms. In "Smith et al.'s Study on Unconventional Economic Indicators," the authors find that seemingly unrelated variables, such as the number of adhesive bonding machine operators in New Jersey, may hold significance in understanding economic trends. As we delve further into the adhesive realm, we encounter a plethora of literature that sheds light on this unexpected correlation.
Enter "The Adhesive Revolution" by John Doe, a comprehensive exploration of the role of adhesives in modern industries. While the book primarily focuses on technological advancements, Doe's insights inadvertently opened the door to understanding the economic implications of adhesive-based professions. Who would have thought that the world of economics could stick its nose into the world of adhesive technology?
Deepening our exploration, the works of Martha Jones in "Adhesion Economics: A Sticky Situation" provide a thought-provoking analysis of unconventional economic indicators. Jones' examination of non-traditional variables prompts us to consider the adhesive bonding machine operators as more than just individuals tasked with sticking things together – they might just hold a clue to understanding broader economic shifts. It seems the economics literature is getting quite "stuck" on the topic of adhesion!
Moving into the realm of fiction that seems oddly relevant, the classic "The Adhesive Anomaly" by Arthur C. Clarke presents a futuristic society where economic prosperity hinges on unorthodox factors, including the role of adhesive-based occupations. Though a work of fiction, Clarke's portrayal of an adhesive-centric economy offers a whimsical perspective on the potential impact of seemingly minor professions in shaping macroscopic economic outcomes. It's almost as if he knew the stickiness of economic analysis would become a hot topic!
Now, turning to more unexpected sources of insight, the famed cartoon series "The Adventures of Adhesive Andy" provides a lighthearted, yet surprisingly relevant, take on the world of adhesive bonding. While the show's primary aim is entertainment, its depiction of adhesive-related occupations might just hold a nugget of truth. Perhaps there's something to be learned from the escapades of a cartoon character navigating the sticky world of professional adhesion. Who would have thought that Saturday morning cartoons could offer insight into economic research?
In the whimsical realm of children's literature, "The Sticky Solutions of Sarah and Sam" by Linda Lemon introduces young readers to the concept of problem-solving through creative uses of adhesives. While not a traditional research source, this children's book serves as a playful reminder that unconventional thinking and imaginative exploration may lead to unexpected connections in academic pursuits. It seems that even the youngest minds are being drawn into the captivating world of adhesive economics!
As we navigate through this diverse array of sources, ranging from scholarly literature to fictional narratives and childhood entertainment, the underlying theme remains clear – the study of adhesive bonding machine operators in New Jersey goes well beyond the surface-level "stickiness." These seemingly unrelated variables have woven themselves into a tapestry of economic inquiry, challenging researchers to embrace unconventional perspectives and, of course, to appreciate the occasional adhesive-related pun.

[[RESULTS]]
Our analysis of the relationship between the number of adhesive bonding machine operators in New Jersey and US bank failures has unveiled some truly sticky findings. From 2010 to 2022, we found a noteworthy correlation coefficient of 0.8164906, demonstrating a strong positive relationship between the two variables. This connection is as undeniable as a piece of tape stuck to your finger – you just can't shake it off!
Notably, the r-squared value of 0.6666569 indicates that approximately 66.67% of the variation in US bank failures can be attributed to the number of adhesive bonding machine operators in New Jersey. That's a percentage higher than the likelihood of finding a roll of tape when you need it in the office – quite remarkable, if you ask us!
With a p-value of less than 0.01, our results are statistically significant, providing robust evidence that the correlation we uncovered is not merely a fluke. It's not just a coincidence that as the number of adhesive bonding machine operators increases, the occurrence of US bank failures also tends to rise. It's a relationship that sticks like glue – pun intended!
Now, to visually capture the essence of this adhesive relationship, we present Fig. 1. This scatterplot showcases the clear and compelling correlation between the number of adhesive bonding machine operators in New Jersey and US bank failures. It's a graph that speaks louder than words, reminding us that in the world of statistics, what may initially seem as unrelated as tape and banking can actually stick together in a meaningful way – pardon the pun!
In conclusion, our research has brought to light a surprising and significant connection between the employment of adhesive bonding machine operators in New Jersey and the occurrence of US bank failures. This finding emphasizes the importance of considering unconventional variables in economic research and prompts further investigation into the factors underlying this peculiar correlation. After all, in the dynamic world of statistics, rarely does anything adhere to the expected pattern without a twist or two along the way!

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our investigation into the relationship between the number of adhesive bonding machine operators in New Jersey and US bank failures has unearthed some truly adhesive insights. The remarkable correlation coefficient of 0.8164906 and the r-squared value of 0.6666569 affirm the compelling bond between these seemingly unrelated variables. It's almost as if these variables are "stuck" together like a roll of tape and a desperate need for a sticky note – you just can't keep them apart!

Our results echo the earlier work of Smith et al., who first hinted at the potential significance of unconventional economic indicators. Much like the adhesive bonding machine operators sticking to their tasks in New Jersey, our findings firmly adhere to the notion that unorthodox variables can indeed offer valuable insights into economic phenomena.

Building on John Doe's insights into the role of adhesives in modern industries, our research highlights that the "stickiness" of economic indicators goes beyond mere wordplay. It's clear that the adhesive bonding machine operators don't just bond materials – they also bond with economic trends, forming a connection as strong as a well-applied layer of adhesive!

Drawing from Martha Jones' thought-provoking analysis of non-traditional variables, our study cements the notion that even the most unexpected factors can have a tangible impact on economic dynamics. The link between adhesive bonding and US bank failures may have seemed far-fetched at first, but the evidence is sticking around like a good dad joke – it's hard to shake off!

Our results bring a touch of reality to Arthur C. Clarke's vision of an adhesive-centric economy. While his "fictional" portrayal of unconventional economic influences may have seemed far-fetched, our research suggests that the phenomena he imagined aren't as far from reality as one might think. It seems Clarke's vision wasn't just a "sticking" point of imagination after all!

Furthermore, our findings resonate with the lighthearted yet surprisingly relevant depictions of adhesive-related occupations in "The Adventures of Adhesive Andy." It turns out that there's truth to be found even in the whimsical world of animated adhesives – just like there's a bit of adhesive left on your finger after peeling a sticker!

Finally, our study reinforces the notion that unconventional thinking and imaginative exploration, as exemplified in "The Sticky Solutions of Sarah and Sam," can yield unexpected connections in academic pursuits. Much like the protagonists of Lemon's children's book, we've discovered that sometimes the most unlikely combinations – adhesive bonding machine operators and US bank failures – hold the key to unraveling complex economic interrelationships.

In essence, our research underscores the profound importance of considering unconventional variables in economic analysis. Similar to how a piece of tape pulls together two disparate objects, our findings have stuck with us, compelling further inquiry into the intriguing factors underpinning this adhesive correlation. After all, in the world of research, unusual connections often turn out to be the "sticky" glue holding together groundbreaking discoveries!


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The number of adhesive bonding machine operators in New Jersey and US bank failures. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures

[[ABSTRACT]]
The use of adhesive bonding machine operators in New Jersey has been a sticking point in the study of economic indicators. In this research, we explore the surprising connection between the number of adhesive bonding machine operators in the Garden State and the occurrence of US bank failures. Imagine the "bond" between these seemingly unrelated variables being stickier than superglue!

Employing data from the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation, we conducted a comprehensive analysis from 2010 to 2022. Our findings reveal a striking correlation coefficient of 0.8164906 and a remarkably significant p-value of less than 0.01, proving that there is indeed a strong relationship between these disparate elements. Talk about a "sticking" point in economic research!

[[INTRDUCTION]]
The study of economic indicators is often a sticky situation, with researchers constantly striving to uncover the hidden connections between seemingly unrelated variables. In this paper, we delve into the intriguing association between the number of adhesive bonding machine operators in New Jersey and the occurrence of US bank failures. It's a bond that goes beyond just sticking things together – it's a statistical connection that may surprise even the most adhesive-minded analysts.
Now, you might be thinking, "What does adhesive bonding have to do with bank failures?" Well, stick around, and we'll unravel this adhesive mystery together! It's a tale of numbers, statistics, and a touch of humor to keep things from getting too cemented in seriousness.
Adhesive bonding machine operators, often working behind the scenes, have not been the focus of economic studies in the past. However, as we immerse ourselves in the world of statistical analysis, we find that these operators are not merely sticking to their routine tasks – they may hold a key piece to the economic puzzle. This discovery might just "seal" the deal on the importance of considering unconventional variables in economic research!
In the world of statistical analysis, we often encounter unexpected relationships that defy conventional wisdom. As we explore the correlation between adhesive bonding machine operators in New Jersey and US bank failures, we are reminded that in the realm of statistics, nothing should be stuck in stone. We are truly "bonding" with the data to reveal patterns that may have eluded previous researchers.
As we embark on this research journey, let's strive to maintain a sense of elasticity in our interpretations. After all, in the world of statistics, a bit of flexibility can prevent us from getting stuck in rigid assumptions. Plus, it gives us the opportunity to sneak in a dad joke or two along the way – a statistical analysis, if you will, of humor distribution in academic writing!
So, without further ado, let's peel back the layers of this intriguing relationship and explore the adhesiveness of economic variables in a way that's not just about sticking to the status quo. After all, in the world of research, a little "bonding" can go a long way!

[[RESULTS]]
Our analysis of the relationship between the number of adhesive bonding machine operators in New Jersey and US bank failures has unveiled some truly sticky findings. From 2010 to 2022, we found a noteworthy correlation coefficient of 0.8164906, demonstrating a strong positive relationship between the two variables. This connection is as undeniable as a piece of tape stuck to your finger – you just can't shake it off!
Notably, the r-squared value of 0.6666569 indicates that approximately 66.67% of the variation in US bank failures can be attributed to the number of adhesive bonding machine operators in New Jersey. That's a percentage higher than the likelihood of finding a roll of tape when you need it in the office – quite remarkable, if you ask us!
With a p-value of less than 0.01, our results are statistically significant, providing robust evidence that the correlation we uncovered is not merely a fluke. It's not just a coincidence that as the number of adhesive bonding machine operators increases, the occurrence of US bank failures also tends to rise. It's a relationship that sticks like glue – pun intended!
Now, to visually capture the essence of this adhesive relationship, we present Fig. 1. This scatterplot showcases the clear and compelling correlation between the number of adhesive bonding machine operators in New Jersey and US bank failures. It's a graph that speaks louder than words, reminding us that in the world of statistics, what may initially seem as unrelated as tape and banking can actually stick together in a meaningful way – pardon the pun!
In conclusion, our research has brought to light a surprising and significant connection between the employment of adhesive bonding machine operators in New Jersey and the occurrence of US bank failures. This finding emphasizes the importance of considering unconventional variables in economic research and prompts further investigation into the factors underlying this peculiar correlation. After all, in the dynamic world of statistics, rarely does anything adhere to the expected pattern without a twist or two along the way!

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research sheds light on the unexpectedly sticky connection between the number of adhesive bonding machine operators in New Jersey and US bank failures. It seems the association between these seemingly unrelated variables is as strong as a roll of duct tape in a fixer-upper's toolbox - you just can't ignore it!

Our findings, with a correlation coefficient of 0.8164906 and a p-value of less than 0.01, are as robust as a well-constructed adhesive bond. It's a statistical relationship that sticks, much like the adhesive used by our operators – and believe us, that's one tough bond to break!

The r-squared value of 0.6666569 tells us that approximately 66.67% of the variation in US bank failures can be attributed to the number of adhesive bonding machine operators. That's a higher percentage than the chances of a bank teller saying, "I'm stuck with work," on a hectic day – statistically significant indeed!

It's safe to say that our research has uncovered a bond stronger than any epoxy resin – a relationship that's as solid as a concrete statistical finding. Moreover, it highlights the need to explore unconventional variables in economic research, because sometimes the most adhesive connections are found in the unlikeliest places.

In the spirit of good humor and research, let's wrap up with a fitting dad joke: Why did the adhesive bonding machine operator go to therapy? Because they were feeling stuck in their relationship with US bank failures! Oh, the pun-demonium!

In summary, the adhesive bonding machine operators in New Jersey are more than just sticky situations – they're integral components in understanding economic dynamics. Therefore, we can confidently assert that no further research is needed in this area. We've already unraveled the stickiness of this relationship - no need to stick our noses in it any further!



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 Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Unconventional Connections


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 Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Adhesive Application Advancement (SAAA)


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 Sticky Situations: The Adhesive Bonding Machine Operators in New Jersey and Their Link to US Bank Failures with an abstract of The use of adhesive bonding machine operators in New Jersey has been a sticking point in the study of economic indicators. In this research, we explore the surprising connection between the number of adhesive bonding machine operators in the Garden State and the occurrence of US bank failures. Imagine the "bond" between these seemingly unrelated variables being stickier than superglue!
Employing data from the Bureau of Labor Statistics and the Federal Deposit Insurance Corporation, we conducted a comprehensive analysis from 2010 to 2022. Our findings reveal a striking correlation coefficient of 0.8164906 and a remarkably significant p-value of less than 0.01, proving that there is indeed a strong relationship between these disparate elements. Talk about a "sticking" point in economic research!

ChatGPT:

adhesive bonding machine operators, New Jersey, US bank failures, economic indicators, correlation coefficient, p-value, Bureau of Labor Statistics, Federal Deposit Insurance Corporation

*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 adhesive bonding machine operators in New Jersey
Detailed data title: BLS estimate of adhesive bonding machine operators and tenders in New Jersey
Source: Bureau of Larbor Statistics
See what else correlates with The number of adhesive bonding machine operators in New Jersey

US bank failures
Detailed data title: Bank failures in the US
Source: FDIC
See what else correlates with US bank failures

Correlation r = 0.8164906 (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 = 0.6666569 (Coefficient of determination)
This means 66.7% of the change in the one variable (i.e., US bank failures) is predictable based on the change in the other (i.e., The number of adhesive bonding machine operators in New Jersey) over the 13 years from 2010 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00066. 0.0006604233254644222000000000
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 0.82 in 0.066% of random cases. Said differently, if you correlated 1,514 random variables Which I absolutely did.
with the same 12 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 12 because we have two variables measured over a period of 13 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.

[ 0.48, 0.94 ] 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.
2010201120122013201420152016201720182019202020212022
The number of adhesive bonding machine operators in New Jersey (Laborers)60037022023023026024028016014080350230
US bank failures (Failed banks)1579251241885804400




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.




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([600,370,220,230,230,260,240,280,160,140,80,350,230,])
array_2 = np.array([157,92,51,24,18,8,5,8,0,4,4,0,0,])
array_1_name = "The number of adhesive bonding machine operators in New Jersey"
array_2_name = "US bank failures"

# 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: 4032 · Black Variable ID: 18396 · Red Variable ID: 899
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