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Spurious correlation #2,552 · 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 psychiatric technicians in Texas and the second variable is Google searches for 'why do i have green poop'.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

The more psychiatric technicians there are, the more they're able to help people work through their shit, leading to a lighter, greener outlook on life, or in this case, in the toilet. It's all about the power of green-therapy!

Model: dalle-3
Prompt: Generate an image that blends sci-fi fantasy with a mix of absurd humor: Create a scene with a futuristic backdrop, overlaid with a colorful bar graph rising on the left side, depicting the numbers of psychiatric technicians in Texas. To the right, draw a fluctuating line graph representing Google searches for "why do I have green poop," mirroring the movements of the bar graph. In the center, include a person gazing at a translucent toilet bowl filled with luminescent green poop, wearing a perplexed expression. Maintain a bright and whimsical palette to add a touch of absurdity to the inexplicable correlation. 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 psychiatric technicians in Texas and Google searches for 'why do i have green poop'. 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: Low poly Charcoal Sci-fi fantacy Cute 2D animation Charcoal
ChatGPT: Sci-fi fantasy

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 psychiatric technicians in Texas and Google searches for 'why do i have green poop', in the following situation: It seems the psychiatric technicians in Texas have been messing with your mind, leading to a psychedelic change in your bowel movements! As the number of technicians fluctuates, so does the color of your stool. It's like they're playing a game of mental 'Pac-Man' with your digestive system, chomping on those little green pellets and leaving your poop looking like a funky alien substance. Maybe it's time to analyze this situation from a different perspective and seek some 'therapy' for your troubled tummy!. Keep the description simple.
ChatGPT: Imagine a colorful bar graph representing the number of psychiatric technicians in Texas on the left side of the scene. On the right side, imagine a line graph depicting the Google searches for "why do I have green poop," fluctuating in sync with the bar graph. In the middle, visualize a person staring at a toilet bowl filled with fluorescent green poop, with a puzzled expression on their face. The scene humorously illustrates the correlation between the fluctuating number of psychiatric technicians and the mind-boggling change in bowel movements.

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: [ Sci-fi fantasy ] and depicting this scene: Imagine a colorful bar graph representing the number of psychiatric technicians in Texas on the left side of the scene. On the right side, imagine a line graph depicting the Google searches for "why do I have green poop," fluctuating in sync with the bar graph. In the middle, visualize a person staring at a toilet bowl filled with fluorescent green poop, with a puzzled expression on their face. The scene humorously illustrates the correlation between the fluctuating number of psychiatric technicians and the mind-boggling change in bowel movements. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that blends sci-fi fantasy with a mix of absurd humor: Create a scene with a futuristic backdrop, overlaid with a colorful bar graph rising on the left side, depicting the numbers of psychiatric technicians in Texas. To the right, draw a fluctuating line graph representing Google searches for "why do I have green poop," mirroring the movements of the bar graph. In the center, include a person gazing at a translucent toilet bowl filled with luminescent green poop, wearing a perplexed expression. Maintain a bright and whimsical palette to add a touch of absurdity to the inexplicable correlation.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in The number of psychiatric technicians in Texas caused why do i have green poop (Google searches for 'why do i have green poop') to increase. Include one good pun.

AI academic paper

(Because p < 0.01)
Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection

The International Journal of Colorful Digestive Health

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between The number of psychiatric technicians in Texas and Google searches for 'why do i have green poop'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Rhyme words in the title.

Your research team used data from Bureau of Larbor Statistics and Google Trends to assess this nagging question. You found a correlation coefficient of 0.8265108 and p < 0.01 for 2004 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]]
Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection

[[ABSTRACT]]
This paper presents an intriguing exploration of the relationship between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop' over the period of 2004 to 2022. The study delves into the unusual correlation, offering insights into the potential influences of psychiatric technician density on public digestive health concerns. Our research team harnessed data from the Bureau of Labor Statistics and Google Trends to unravel this peculiar connection, leading to an unexpected yet statistically significant finding.

The analysis produced a striking correlation coefficient of 0.8265108, with a p-value of less than 0.01, showcasing a robust statistical association between the two variables. While the exact causal mechanism remains elusive, the results of this study shed light on the curious relationship between mental health professionals and gastrointestinal queries. Remarkably, the investigation highlights how the number of psychiatric technicians may not only impact mental well-being but also resonate with digestive curiosities in the public sphere. It seems that the ‘green poop’ quandary holds more than meets the eye – or should we say, meets the toilet?

This research provides an engaging glimpse into the realms of statistical whimsy, underscoring the unexpected interplay between mental health professionals’ presence and peculiar public inquiries. In the spirit of scientific inquiry, it prompts contemplation of the phrase: “What did the doctor say to the patient with green poop? You have too much bile on your hands!”


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between The number of psychiatric technicians in Texas and Google searches for 'why do i have green poop'. 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.

Here is the title and abstract of the paper:
[[TITLE]]
Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection

[[ABSTRACT]]
This paper presents an intriguing exploration of the relationship between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop' over the period of 2004 to 2022. The study delves into the unusual correlation, offering insights into the potential influences of psychiatric technician density on public digestive health concerns. Our research team harnessed data from the Bureau of Labor Statistics and Google Trends to unravel this peculiar connection, leading to an unexpected yet statistically significant finding.

The analysis produced a striking correlation coefficient of 0.8265108, with a p-value of less than 0.01, showcasing a robust statistical association between the two variables. While the exact causal mechanism remains elusive, the results of this study shed light on the curious relationship between mental health professionals and gastrointestinal queries. Remarkably, the investigation highlights how the number of psychiatric technicians may not only impact mental well-being but also resonate with digestive curiosities in the public sphere. It seems that the ‘green poop’ quandary holds more than meets the eye – or should we say, meets the toilet?

This research provides an engaging glimpse into the realms of statistical whimsy, underscoring the unexpected interplay between mental health professionals’ presence and peculiar public inquiries. In the spirit of scientific inquiry, it prompts contemplation of the phrase: “What did the doctor say to the patient with green poop? You have too much bile on your hands!”

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The practice of statistics has led researchers down many unexpected paths, with the connection between seemingly unrelated variables often yielding surprising insights. In the midst of this quest for knowledge, one might even say we've stumbled upon a statistical 'movement,' albeit not the bowel kind. Nevertheless, this study ventures into uncharted territory by examining the correlation between the number of psychiatric technicians in the state of Texas and the frequency of Google searches for the question 'why do i have green poop.' Ah, the mysteries that statistical analysis reveals – it's enough to make even the most stoic mathematician grin from ear to ear!

As we dive into this peculiar investigation, one cannot help but acknowledge the distinctly "punny" nature of our subject matter. But fear not, dear reader, for though we tread upon amusing terrain, the academic rigor applied to this study shall be as steadfast as a gastroenterologist's dedication to unravelling digestive conundrums. Our aim is to present a thorough and meticulous exploration of this unexpected statistical relationship, proving that even the most curious correlations can bear meaningful implications.

At first blush, the thought of linking the mental health workforce with inquiries about emerald-colored fecal matter might seem whimsical – but in the vast tapestry of statistics, every thread has its place. The numbers have spoken, and what they reveal is no laughing matter. Yet, did you hear about the statistician who calculated the correlation between psychiatric technicians and green poop searches? He said it was the result of a 'statistical movement' that couldn't be ignored!

In the next sections, we will delve into the data sources, methodology, and findings that have brought us to this eyebrow-raising juncture. With each step, we will shed light on the statistical intricacies at play and the implications of our unexpected discovery. So, lean in, fellow academic voyagers, as we navigate this statistical odyssey and uncover the surprises that lie in the most unexpected places. After all, as the saying goes, "Where there's a will, there's a way – and where there's a correlation, there's a pun ready to slip in!"


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between The number of psychiatric technicians in Texas and Google searches for 'why do i have green poop'. 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]]
Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection

[[ABSTRACT]]
This paper presents an intriguing exploration of the relationship between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop' over the period of 2004 to 2022. The study delves into the unusual correlation, offering insights into the potential influences of psychiatric technician density on public digestive health concerns. Our research team harnessed data from the Bureau of Labor Statistics and Google Trends to unravel this peculiar connection, leading to an unexpected yet statistically significant finding.

The analysis produced a striking correlation coefficient of 0.8265108, with a p-value of less than 0.01, showcasing a robust statistical association between the two variables. While the exact causal mechanism remains elusive, the results of this study shed light on the curious relationship between mental health professionals and gastrointestinal queries. Remarkably, the investigation highlights how the number of psychiatric technicians may not only impact mental well-being but also resonate with digestive curiosities in the public sphere. It seems that the ‘green poop’ quandary holds more than meets the eye – or should we say, meets the toilet?

This research provides an engaging glimpse into the realms of statistical whimsy, underscoring the unexpected interplay between mental health professionals’ presence and peculiar public inquiries. In the spirit of scientific inquiry, it prompts contemplation of the phrase: “What did the doctor say to the patient with green poop? You have too much bile on your hands!”

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The practice of statistics has led researchers down many unexpected paths, with the connection between seemingly unrelated variables often yielding surprising insights. In the midst of this quest for knowledge, one might even say we've stumbled upon a statistical 'movement,' albeit not the bowel kind. Nevertheless, this study ventures into uncharted territory by examining the correlation between the number of psychiatric technicians in the state of Texas and the frequency of Google searches for the question 'why do i have green poop.' Ah, the mysteries that statistical analysis reveals – it's enough to make even the most stoic mathematician grin from ear to ear!
As we dive into this peculiar investigation, one cannot help but acknowledge the distinctly "punny" nature of our subject matter. But fear not, dear reader, for though we tread upon amusing terrain, the academic rigor applied to this study shall be as steadfast as a gastroenterologist's dedication to unravelling digestive conundrums. Our aim is to present a thorough and meticulous exploration of this unexpected statistical relationship, proving that even the most curious correlations can bear meaningful implications.
At first blush, the thought of linking the mental health workforce with inquiries about emerald-colored fecal matter might seem whimsical – but in the vast tapestry of statistics, every thread has its place. The numbers have spoken, and what they reveal is no laughing matter. Yet, did you hear about the statistician who calculated the correlation between psychiatric technicians and green poop searches? He said it was the result of a 'statistical movement' that couldn't be ignored!
In the next sections, we will delve into the data sources, methodology, and findings that have brought us to this eyebrow-raising juncture. With each step, we will shed light on the statistical intricacies at play and the implications of our unexpected discovery. So, lean in, fellow academic voyagers, as we navigate this statistical odyssey and uncover the surprises that lie in the most unexpected places. After all, as the saying goes, "Where there's a will, there's a way – and where there's a correlation, there's a pun ready to slip in!"

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In their seminal work, "The Statistical Correlations of Occupational Densities and Unrelated Public Inquiries," Smith and Doe (2010) brought to light the intriguing interplay between professional densities and seemingly unrelated public inquiries. Their findings laid the groundwork for uncovering unexpected connections, prompting further exploration into statistical whimsy. Little did they know that their work would soon be echoed in a most unexpected marriage of psychiatric technician density and Google search behavior.

Furthermore, Jones et al. (2015) in "Data Revelations: Uncovering Surprising Correlations" expounded upon the concept of statistically significant relationships that defy conventional expectations. Within the annals of statistical inquiry, the unanticipated correlations between disparate variables have often led to profound insights, even if the journey may yield a chuckle or two.

But what does the laundry list of psychiatric technician density have to do with Google searches about green poop, you ask? Well, this is where statistical analysis takes a detour into the uncharted waters of human curiosity and bathroom humor - the perfect breeding ground for some "crappy" jokes. As the saying goes, "What do you call a math teacher who refuses to fart in public? A private tutor!"

In a more light-hearted yet tangentially related vein, "Gut: The Inside Story of Our Body's Most Underrated Organ" and “The Power of Poop: How to Make Millions through Digestive Diagnoses” offer insights into the intricate world of gastrointestinal health and the public's fascination with bodily functions. These esteemed works provide a foundation for understanding the societal intrigue surrounding digestive peculiarities and, dare we say, the unexpected correlation with psychiatric technician availability.

On a more whimsical note, "Green Eggs and Ham" and "The Poop Song" are publications that, while not scientific in nature, delve into the cultural fascination with excretory matters, resonating with the cheeky intrigue of our statistical escapade. Exploring the pop-culture representations of our peculiar correlation, even in the most unexpected literary form, lends a touch of levity to our academic pursuit, reminding us that statistical analysis need not always be a, dare we say, "constipated" affair.

Amidst this statistical inquiry, one can't help but recall the childhood favorites – "SpongeBob SquarePants" and "The Magic School Bus" – where the whimsical adventures of characters were often intertwined with unexpected educational lessons. Much like these beloved shows, the statistical exploration of the association between psychiatric technicians and green poop searches has challenged conventional expectations, summoning a smile amidst the rigors of academic inquiry.

In the spirit of statistical inquiry infused with levity, we present our findings with the hope that they may spark a laugh or two, and perhaps inspire further eccentric statistical odysseys. After all, as the old adage goes, "Statisticians do it with significant figures!"


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between The number of psychiatric technicians in Texas and Google searches for 'why do i have green poop'. 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 Google Trends . You used data from 2004 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]]
Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection

[[ABSTRACT]]
This paper presents an intriguing exploration of the relationship between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop' over the period of 2004 to 2022. The study delves into the unusual correlation, offering insights into the potential influences of psychiatric technician density on public digestive health concerns. Our research team harnessed data from the Bureau of Labor Statistics and Google Trends to unravel this peculiar connection, leading to an unexpected yet statistically significant finding.

The analysis produced a striking correlation coefficient of 0.8265108, with a p-value of less than 0.01, showcasing a robust statistical association between the two variables. While the exact causal mechanism remains elusive, the results of this study shed light on the curious relationship between mental health professionals and gastrointestinal queries. Remarkably, the investigation highlights how the number of psychiatric technicians may not only impact mental well-being but also resonate with digestive curiosities in the public sphere. It seems that the ‘green poop’ quandary holds more than meets the eye – or should we say, meets the toilet?

This research provides an engaging glimpse into the realms of statistical whimsy, underscoring the unexpected interplay between mental health professionals’ presence and peculiar public inquiries. In the spirit of scientific inquiry, it prompts contemplation of the phrase: “What did the doctor say to the patient with green poop? You have too much bile on your hands!”

[[INTRODUCTION]]
The practice of statistics has led researchers down many unexpected paths, with the connection between seemingly unrelated variables often yielding surprising insights. In the midst of this quest for knowledge, one might even say we've stumbled upon a statistical 'movement,' albeit not the bowel kind. Nevertheless, this study ventures into uncharted territory by examining the correlation between the number of psychiatric technicians in the state of Texas and the frequency of Google searches for the question 'why do i have green poop.' Ah, the mysteries that statistical analysis reveals – it's enough to make even the most stoic mathematician grin from ear to ear!
As we dive into this peculiar investigation, one cannot help but acknowledge the distinctly "punny" nature of our subject matter. But fear not, dear reader, for though we tread upon amusing terrain, the academic rigor applied to this study shall be as steadfast as a gastroenterologist's dedication to unravelling digestive conundrums. Our aim is to present a thorough and meticulous exploration of this unexpected statistical relationship, proving that even the most curious correlations can bear meaningful implications.
At first blush, the thought of linking the mental health workforce with inquiries about emerald-colored fecal matter might seem whimsical – but in the vast tapestry of statistics, every thread has its place. The numbers have spoken, and what they reveal is no laughing matter. Yet, did you hear about the statistician who calculated the correlation between psychiatric technicians and green poop searches? He said it was the result of a 'statistical movement' that couldn't be ignored!
In the next sections, we will delve into the data sources, methodology, and findings that have brought us to this eyebrow-raising juncture. With each step, we will shed light on the statistical intricacies at play and the implications of our unexpected discovery. So, lean in, fellow academic voyagers, as we navigate this statistical odyssey and uncover the surprises that lie in the most unexpected places. After all, as the saying goes, "Where there's a will, there's a way – and where there's a correlation, there's a pun ready to slip in!"

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection:
To embark on our statistical adventure, we gathered data from a multitude of sources, but much like a savvy detective, we honed in on the Bureau of Labor Statistics as our primary informant. After securing information on the number of psychiatric technicians in the great state of Texas from 2004 to 2022, our research team delved deep into the realm of Google Trends. There, amidst the ebb and flow of internet queries, we uncovered the frequency of searches for 'why do i have green poop'. We gathered this data, sifted through the virtual haystack for our proverbial needle, and embarked on our quest to unravel this curious statistical enigma.

While our data collection process might not have involved fedoras or magnifying glasses, it did require a keen eye for detail and an unyielding commitment to unearthing the truth. As the saying goes, "Statistics: it's all fun and games until someone loses a data point."

Data Preprocessing:
With our treasure trove of data in hand, our meticulous preparations for analysis began. We harmonized the timestamps of both datasets, ensuring that no data point was left behind in our pursuit of statistical clarity. We handled missing values with the care of a gardener tending to delicate blooms, mindful not to let any anomalies wilt our robust statistical flowerbed. Indeed, just as a green thumb brings life to a garden, a deft hand in data preprocessing can nurture even the most unruly datasets into a blossoming bouquet of meaningful insights.

Statistical Analysis:
Armed with our data in pristine form, we set forth to wield the formidable tools of statistical analysis. We calculated the correlation coefficient between the number of psychiatric technicians in Texas and the frequency of Google searches for our emerald enigma, 'why do i have green poop'. Our calculations bore fruit, revealing a striking correlation coefficient of 0.8265108 – a statistical gem that we could not overlook. Our p-value of less than 0.01 provided further validation of the robustness of our findings.

Now, you might be wondering if this statistically significant correlation came as a surprise. Well, as statisticians, we're accustomed to expecting the unexpected, but even we were tickled to uncover such a compelling association between the mental health workforce and public ponderings about colorful excretions. As they say, "When the data speaks, we listen – even if it's a curious case of 'green with envy.'"

Limitations:
Every journey has its obstacles, and our statistical odyssey was no exception. As conscientious researchers, we must acknowledge the limitations of our study, lest we, in the parlance of the sports world, fumble the statistical ball. While our findings showcase a robust association, the exact causative mechanisms remain shrouded in mystery, akin to a riddle wrapped in an enigma – or perhaps, a pun waiting to be unfurled.

Additionally, our analysis focuses exclusively on the context of Texas, and further research may unveil whether similar correlations manifest in other geographic territories. As the saying goes, "Just as one state’s barbecue might be another’s brisket, statistical relationships can vary across borders."

In the following sections, we will present the compelling findings of our statistical investigation, shedding light on the unexpected interplay between mental health professionals and a query that strikes at the heart of human curiosity – and perhaps a tickle to the funny bone.


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

Please make up the results section of an academic research paper presenting the findings of the connection between The number of psychiatric technicians in Texas and Google searches for 'why do i have green poop'. 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 Google Trends .

For the time period 2004 to 2022, you found a correlation 0.8265108, r-squared of 0.6831200, 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]]
Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection

[[ABSTRACT]]
This paper presents an intriguing exploration of the relationship between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop' over the period of 2004 to 2022. The study delves into the unusual correlation, offering insights into the potential influences of psychiatric technician density on public digestive health concerns. Our research team harnessed data from the Bureau of Labor Statistics and Google Trends to unravel this peculiar connection, leading to an unexpected yet statistically significant finding.

The analysis produced a striking correlation coefficient of 0.8265108, with a p-value of less than 0.01, showcasing a robust statistical association between the two variables. While the exact causal mechanism remains elusive, the results of this study shed light on the curious relationship between mental health professionals and gastrointestinal queries. Remarkably, the investigation highlights how the number of psychiatric technicians may not only impact mental well-being but also resonate with digestive curiosities in the public sphere. It seems that the ‘green poop’ quandary holds more than meets the eye – or should we say, meets the toilet?

This research provides an engaging glimpse into the realms of statistical whimsy, underscoring the unexpected interplay between mental health professionals’ presence and peculiar public inquiries. In the spirit of scientific inquiry, it prompts contemplation of the phrase: “What did the doctor say to the patient with green poop? You have too much bile on your hands!”

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The practice of statistics has led researchers down many unexpected paths, with the connection between seemingly unrelated variables often yielding surprising insights. In the midst of this quest for knowledge, one might even say we've stumbled upon a statistical 'movement,' albeit not the bowel kind. Nevertheless, this study ventures into uncharted territory by examining the correlation between the number of psychiatric technicians in the state of Texas and the frequency of Google searches for the question 'why do i have green poop.' Ah, the mysteries that statistical analysis reveals – it's enough to make even the most stoic mathematician grin from ear to ear!
As we dive into this peculiar investigation, one cannot help but acknowledge the distinctly "punny" nature of our subject matter. But fear not, dear reader, for though we tread upon amusing terrain, the academic rigor applied to this study shall be as steadfast as a gastroenterologist's dedication to unravelling digestive conundrums. Our aim is to present a thorough and meticulous exploration of this unexpected statistical relationship, proving that even the most curious correlations can bear meaningful implications.
At first blush, the thought of linking the mental health workforce with inquiries about emerald-colored fecal matter might seem whimsical – but in the vast tapestry of statistics, every thread has its place. The numbers have spoken, and what they reveal is no laughing matter. Yet, did you hear about the statistician who calculated the correlation between psychiatric technicians and green poop searches? He said it was the result of a 'statistical movement' that couldn't be ignored!
In the next sections, we will delve into the data sources, methodology, and findings that have brought us to this eyebrow-raising juncture. With each step, we will shed light on the statistical intricacies at play and the implications of our unexpected discovery. So, lean in, fellow academic voyagers, as we navigate this statistical odyssey and uncover the surprises that lie in the most unexpected places. After all, as the saying goes, "Where there's a will, there's a way – and where there's a correlation, there's a pun ready to slip in!"

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The statistical examination of the correlation between the number of psychiatric technicians in the state of Texas and the frequency of Google searches for 'why do i have green poop' has unearthed a notable relationship. The analysis revealed a strong correlation coefficient of 0.8265108, conveying a significant association between the two variables over the 2004 to 2022 time period. This intriguing finding was supported by an r-squared value of 0.6831200, indicating that approximately 68.31% of the variability in the frequency of 'green poop' searches can be explained by the presence of psychiatric technicians in Texas.

Indeed, one may liken this statistical discovery to a surprising visit to the gastroenterologist – it certainly leaves one with a lot to digest!

The striking correlation is depicted in Figure 1, a scatterplot illustrating the compelling relationship between the number of psychiatric technicians and the prevalence of Google searches related to green-colored excreta. The figure serves as a visual testament to the empirical link between these seemingly disparate aspects, reminding us that statistical exploration can lead to unexpected revelations.

Our results highlight the need for further investigation into the intricate interplay between mental health workforce dynamics and the public's gastrointestinal preoccupations. Clearly, the statistical landscape is rife with unforeseen connections – much like that moment when a seemingly unrelated dad joke becomes surprisingly relevant to the discussion at hand.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between The number of psychiatric technicians in Texas and Google searches for 'why do i have green poop'. 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]]
Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection

[[ABSTRACT]]
This paper presents an intriguing exploration of the relationship between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop' over the period of 2004 to 2022. The study delves into the unusual correlation, offering insights into the potential influences of psychiatric technician density on public digestive health concerns. Our research team harnessed data from the Bureau of Labor Statistics and Google Trends to unravel this peculiar connection, leading to an unexpected yet statistically significant finding.

The analysis produced a striking correlation coefficient of 0.8265108, with a p-value of less than 0.01, showcasing a robust statistical association between the two variables. While the exact causal mechanism remains elusive, the results of this study shed light on the curious relationship between mental health professionals and gastrointestinal queries. Remarkably, the investigation highlights how the number of psychiatric technicians may not only impact mental well-being but also resonate with digestive curiosities in the public sphere. It seems that the ‘green poop’ quandary holds more than meets the eye – or should we say, meets the toilet?

This research provides an engaging glimpse into the realms of statistical whimsy, underscoring the unexpected interplay between mental health professionals’ presence and peculiar public inquiries. In the spirit of scientific inquiry, it prompts contemplation of the phrase: “What did the doctor say to the patient with green poop? You have too much bile on your hands!”

[[LITERATURE REVIEW]]
In their seminal work, "The Statistical Correlations of Occupational Densities and Unrelated Public Inquiries," Smith and Doe (2010) brought to light the intriguing interplay between professional densities and seemingly unrelated public inquiries. Their findings laid the groundwork for uncovering unexpected connections, prompting further exploration into statistical whimsy. Little did they know that their work would soon be echoed in a most unexpected marriage of psychiatric technician density and Google search behavior.
Furthermore, Jones et al. (2015) in "Data Revelations: Uncovering Surprising Correlations" expounded upon the concept of statistically significant relationships that defy conventional expectations. Within the annals of statistical inquiry, the unanticipated correlations between disparate variables have often led to profound insights, even if the journey may yield a chuckle or two.
But what does the laundry list of psychiatric technician density have to do with Google searches about green poop, you ask? Well, this is where statistical analysis takes a detour into the uncharted waters of human curiosity and bathroom humor - the perfect breeding ground for some "crappy" jokes. As the saying goes, "What do you call a math teacher who refuses to fart in public? A private tutor!"
In a more light-hearted yet tangentially related vein, "Gut: The Inside Story of Our Body's Most Underrated Organ" and “The Power of Poop: How to Make Millions through Digestive Diagnoses” offer insights into the intricate world of gastrointestinal health and the public's fascination with bodily functions. These esteemed works provide a foundation for understanding the societal intrigue surrounding digestive peculiarities and, dare we say, the unexpected correlation with psychiatric technician availability.
On a more whimsical note, "Green Eggs and Ham" and "The Poop Song" are publications that, while not scientific in nature, delve into the cultural fascination with excretory matters, resonating with the cheeky intrigue of our statistical escapade. Exploring the pop-culture representations of our peculiar correlation, even in the most unexpected literary form, lends a touch of levity to our academic pursuit, reminding us that statistical analysis need not always be a, dare we say, "constipated" affair.
Amidst this statistical inquiry, one can't help but recall the childhood favorites – "SpongeBob SquarePants" and "The Magic School Bus" – where the whimsical adventures of characters were often intertwined with unexpected educational lessons. Much like these beloved shows, the statistical exploration of the association between psychiatric technicians and green poop searches has challenged conventional expectations, summoning a smile amidst the rigors of academic inquiry.
In the spirit of statistical inquiry infused with levity, we present our findings with the hope that they may spark a laugh or two, and perhaps inspire further eccentric statistical odysseys. After all, as the old adage goes, "Statisticians do it with significant figures!"

[[RESULTS]]
The statistical examination of the correlation between the number of psychiatric technicians in the state of Texas and the frequency of Google searches for 'why do i have green poop' has unearthed a notable relationship. The analysis revealed a strong correlation coefficient of 0.8265108, conveying a significant association between the two variables over the 2004 to 2022 time period. This intriguing finding was supported by an r-squared value of 0.6831200, indicating that approximately 68.31% of the variability in the frequency of 'green poop' searches can be explained by the presence of psychiatric technicians in Texas.
Indeed, one may liken this statistical discovery to a surprising visit to the gastroenterologist – it certainly leaves one with a lot to digest!
The striking correlation is depicted in Figure 1, a scatterplot illustrating the compelling relationship between the number of psychiatric technicians and the prevalence of Google searches related to green-colored excreta. The figure serves as a visual testament to the empirical link between these seemingly disparate aspects, reminding us that statistical exploration can lead to unexpected revelations.
Our results highlight the need for further investigation into the intricate interplay between mental health workforce dynamics and the public's gastrointestinal preoccupations. Clearly, the statistical landscape is rife with unforeseen connections – much like that moment when a seemingly unrelated dad joke becomes surprisingly relevant to the discussion at hand.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The findings of our study have unequivocally demonstrated a robust statistical correlation between the number of psychiatric technicians in Texas and the frequency of Google searches for 'why do i have green poop' over the period of 2004 to 2022. This unexpected relationship, captured by a correlation coefficient of 0.8265108, not only lends empirical weight to the unorthodox connection but also aligns with prior research that explored surprising statistical correlations.

Harkening back to the quirky literature review, the study by Smith and Doe (2010) introduced the notion of unexpected associations between professional densities and unrelated public inquiries, setting the stage for our investigation into the peculiar connection between psychiatric technician density and bathroom-related queries. Our results add a remarkable layer to the statistical whimsy these researchers initiated, albeit in a most unforeseen manner. As the saying goes, "A statistician can never be bear a grudge; they always make it add up in the end!"

Similarly, the work of Jones et al. (2015) underscored the significance of uncovering statistically significant relationships that challenge conventional expectations. Our findings not only bolster this sentiment but also nudge the field of statistical exploration into uncharted – albeit humorous – territories. "Why did the statistician break up with the chemist? There was no 'chemistry' between them, but there's definitely a correlation between psychiatry and green poop!"

The results of this study have provided empirical support for the unexpected correlation between professional workforce dynamics and seemingly unrelated public inquiries. The statistical bond unearthed by our analysis emphasizes the need for a nuanced understanding of the multifaceted impacts of mental health professionals on public health considerations, both physical and psychological. "Why did the statistician spend weeks training his dog to talk? He wanted to have a 'barking' regression analysis!"

Furthermore, the visual evidence presented in Figure 1 amplifies the significance of our findings, offering a compelling depiction of the empirical link between the number of psychiatric technicians and the prevalence of green poop queries. This visual testament not only strengthens the statistical underpinning of our research but also embodies the unexpected nature of our investigative journey. Indeed, one could say that our findings are a classic case of taking the 'number 2' to a whole new statistical level.

In conclusion, our study has not only deepened the understanding of peculiar statistical correlations but also brought to light an unanticipated connection between mental health workforce dynamics and public health concerns. As we delve into the statistical whimsy of this unconventional association, we invite our fellow researchers to approach statistical inquiry with a touch of humor, remembering that even the most unexpected statistical relationships – much like a well-crafted dad joke – can be a source of enlightenment.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The number of psychiatric technicians in Texas and Google searches for 'why do i have green poop'. 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]]
Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection

[[ABSTRACT]]
This paper presents an intriguing exploration of the relationship between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop' over the period of 2004 to 2022. The study delves into the unusual correlation, offering insights into the potential influences of psychiatric technician density on public digestive health concerns. Our research team harnessed data from the Bureau of Labor Statistics and Google Trends to unravel this peculiar connection, leading to an unexpected yet statistically significant finding.

The analysis produced a striking correlation coefficient of 0.8265108, with a p-value of less than 0.01, showcasing a robust statistical association between the two variables. While the exact causal mechanism remains elusive, the results of this study shed light on the curious relationship between mental health professionals and gastrointestinal queries. Remarkably, the investigation highlights how the number of psychiatric technicians may not only impact mental well-being but also resonate with digestive curiosities in the public sphere. It seems that the ‘green poop’ quandary holds more than meets the eye – or should we say, meets the toilet?

This research provides an engaging glimpse into the realms of statistical whimsy, underscoring the unexpected interplay between mental health professionals’ presence and peculiar public inquiries. In the spirit of scientific inquiry, it prompts contemplation of the phrase: “What did the doctor say to the patient with green poop? You have too much bile on your hands!”

[[INTRDUCTION]]
The practice of statistics has led researchers down many unexpected paths, with the connection between seemingly unrelated variables often yielding surprising insights. In the midst of this quest for knowledge, one might even say we've stumbled upon a statistical 'movement,' albeit not the bowel kind. Nevertheless, this study ventures into uncharted territory by examining the correlation between the number of psychiatric technicians in the state of Texas and the frequency of Google searches for the question 'why do i have green poop.' Ah, the mysteries that statistical analysis reveals – it's enough to make even the most stoic mathematician grin from ear to ear!
As we dive into this peculiar investigation, one cannot help but acknowledge the distinctly "punny" nature of our subject matter. But fear not, dear reader, for though we tread upon amusing terrain, the academic rigor applied to this study shall be as steadfast as a gastroenterologist's dedication to unravelling digestive conundrums. Our aim is to present a thorough and meticulous exploration of this unexpected statistical relationship, proving that even the most curious correlations can bear meaningful implications.
At first blush, the thought of linking the mental health workforce with inquiries about emerald-colored fecal matter might seem whimsical – but in the vast tapestry of statistics, every thread has its place. The numbers have spoken, and what they reveal is no laughing matter. Yet, did you hear about the statistician who calculated the correlation between psychiatric technicians and green poop searches? He said it was the result of a 'statistical movement' that couldn't be ignored!
In the next sections, we will delve into the data sources, methodology, and findings that have brought us to this eyebrow-raising juncture. With each step, we will shed light on the statistical intricacies at play and the implications of our unexpected discovery. So, lean in, fellow academic voyagers, as we navigate this statistical odyssey and uncover the surprises that lie in the most unexpected places. After all, as the saying goes, "Where there's a will, there's a way – and where there's a correlation, there's a pun ready to slip in!"

[[RESULTS]]
The statistical examination of the correlation between the number of psychiatric technicians in the state of Texas and the frequency of Google searches for 'why do i have green poop' has unearthed a notable relationship. The analysis revealed a strong correlation coefficient of 0.8265108, conveying a significant association between the two variables over the 2004 to 2022 time period. This intriguing finding was supported by an r-squared value of 0.6831200, indicating that approximately 68.31% of the variability in the frequency of 'green poop' searches can be explained by the presence of psychiatric technicians in Texas.
Indeed, one may liken this statistical discovery to a surprising visit to the gastroenterologist – it certainly leaves one with a lot to digest!
The striking correlation is depicted in Figure 1, a scatterplot illustrating the compelling relationship between the number of psychiatric technicians and the prevalence of Google searches related to green-colored excreta. The figure serves as a visual testament to the empirical link between these seemingly disparate aspects, reminding us that statistical exploration can lead to unexpected revelations.
Our results highlight the need for further investigation into the intricate interplay between mental health workforce dynamics and the public's gastrointestinal preoccupations. Clearly, the statistical landscape is rife with unforeseen connections – much like that moment when a seemingly unrelated dad joke becomes surprisingly relevant to the discussion at hand.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the findings of our study have uncovered a robust and unexpected correlation between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop.' While the exact mechanisms behind this association remain enigmatic, the statistical evidence, with its resounding correlation coefficient and compelling r-squared value, emphasizes the noteworthy relationship between mental health workforce density and public inquiries into peculiar bowel phenomena. It appears that in the realm of statistical analysis, one must be ready for 'movement' in more ways than initially anticipated.

This unexpected connection, echoing through the statistical corridors, brings to mind the timeless question: "What did the doctor say to the patient with green poop? You have too much bile on your hands!" Indeed, as we navigate this statistical odyssey, one cannot help but appreciate the curious humor inherent in our findings.

The scatterplot in Figure 1 serves as a visual testament to the empirical link between psychiatric technician density and the public's inquisitiveness about atypical bowel movements, reminding us that statistical exploration can lead to unexpected revelations. It seems that, much like a surprising visit to the gastroenterologist, our study has left us with much to digest - both academically and humorously.

In the spirit of scientific inquiry, we assert that further research in this realm is unnecessary. The statistical 'movement,' in all its punny glory, has been sufficiently explored.


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 Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection. Respond only with the name of a fictional academic journal.

ChatGPT:

The International Journal of Colorful Digestive Health


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 Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Unusual Digestive Research and Investigation (SUDRI)


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 Psych Techs in Texas and the Quest for Green Poop: A Statistical Connection with an abstract of This paper presents an intriguing exploration of the relationship between the number of psychiatric technicians in Texas and the prevalence of Google searches for 'why do i have green poop' over the period of 2004 to 2022. The study delves into the unusual correlation, offering insights into the potential influences of psychiatric technician density on public digestive health concerns. Our research team harnessed data from the Bureau of Labor Statistics and Google Trends to unravel this peculiar connection, leading to an unexpected yet statistically significant finding.
The analysis produced a striking correlation coefficient of 0.8265108, with a p-value of less than 0.01, showcasing a robust statistical association between the two variables. While the exact causal mechanism remains elusive, the results of this study shed light on the curious relationship between mental health professionals and gastrointestinal queries. Remarkably, the investigation highlights how the number of psychiatric technicians may not only impact mental well-being but also resonate with digestive curiosities in the public sphere. It seems that the ‘green poop’ quandary holds more than meets the eye – or should we say, meets the toilet?
This research provides an engaging glimpse into the realms of statistical whimsy, underscoring the unexpected interplay between mental health professionals’ presence and peculiar public inquiries. In the spirit of scientific inquiry, it prompts contemplation of the phrase: “What did the doctor say to the patient with green poop? You have too much bile on your hands!”

ChatGPT:

psychiatric technicians, Texas, mental health professionals, Google Trends, Bureau of Labor Statistics, statistical analysis, correlation coefficient, p-value, mental health, gastrointestinal health, digestive health, green poop, public health, research study

*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 psychiatric technicians in Texas
Detailed data title: BLS estimate of psychiatric technicians in Texas
Source: Bureau of Larbor Statistics
See what else correlates with The number of psychiatric technicians in Texas

Google searches for 'why do i have green poop'
Detailed data title: Relative volume of Google searches for 'why do i have green poop' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'why do i have green poop'

Correlation r = 0.8265108 (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 = 0.6831200 (Coefficient of determination)
This means 68.3% of the change in the one variable (i.e., Google searches for 'why do i have green poop') is predictable based on the change in the other (i.e., The number of psychiatric technicians in Texas) over the 19 years from 2004 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.3E-5. 0.0000129006206742898270000000
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 0.83 in 0.0013% of random cases. Said differently, if you correlated 77,516 random variables You don't actually need 77 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 18 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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)
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.
2004200520062007200820092010201120122013201420152016201720182019202020212022
The number of psychiatric technicians in Texas (Psychiatric Technicians)22702500188014401310856092001030031403100308033303810415041304430545057906760
Google searches for 'why do i have green poop' (Rel. search volume)12.166719.2518.08335.9166714.2536.083340.416735.2524.583315.333316.2515.33331112.416712.514.08331819.7519.9167




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([2270,2500,1880,1440,1310,8560,9200,10300,3140,3100,3080,3330,3810,4150,4130,4430,5450,5790,6760,])
array_2 = np.array([12.1667,19.25,18.0833,5.91667,14.25,36.0833,40.4167,35.25,24.5833,15.3333,16.25,15.3333,11,12.4167,12.5,14.0833,18,19.75,19.9167,])
array_1_name = "The number of psychiatric technicians in Texas"
array_2_name = "Google searches for 'why do i have green poop'"

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

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

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

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Correlation ID: 2552 · Black Variable ID: 14788 · Red Variable ID: 1539
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