Spurious correlation #1,836 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Bachelor's degrees awarded in Parks & Recreation and the second variable is Solar power generated in Madagascar. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Bachelor's degrees awarded in Parks & Recreation and the second variable is Solar power generated in Madagascar. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As more people became experts in physical activities, they uncovered the key to harnessing solar energy through a synchronized, choreographed routine of sun salutations and power squats. It turns out, the future of renewable energy lies in a combination of fitness knowledge and a deep-seated passion for outdoor leisure. The more graduates delved into the world of parks and recreation, the stronger their connection to nature became, sparking a solar revolution in Madagascar. Remember, it's not just about generating power, it's about empowering the elements with a well-earned degree in fun and fitness!

^{Show image generation prompt} Model: dalle-3
Prompt: Create an image of a surreal, vaporwave-inspired park scene in Madagascar. Show a group of graduates in colorful graduation gowns and caps, celebrating with their Bachelor's degrees in parks, recreation, leisure, fitness, and kinesiology. The atmosphere should exude a retro-futuristic vibe with vibrant pastel colors. In the background, depict sleek and modern solar panels absorbing the bright sunlight, juxtaposed against the natural beauty of the park. The composition should convey a sense of harmony between human achievement and sustainable, clean energy, infused with the dreamy aesthetics of vaporwave art. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Bachelor's degrees awarded in Parks, recreation, leisure, fitness, and kinesiology and Solar power generated in Madagascar. 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: Whimsical illustration Cute cartoon Steampunk inspired by bauhaus Vaporwave
ChatGPT: Vaporwave

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Bachelor's degrees awarded in Parks, recreation, leisure, fitness, and kinesiology and Solar power generated in Madagascar together. Keep the description simple.
ChatGPT: In a sunny park in Madagascar, a group of graduates in graduation gowns and caps are celebrating with their Bachelor's degrees in parks, recreation, leisure, fitness, and kinesiology. Nearby, solar panels are soaking up the bright sunlight and generating clean energy for the surrounding area.

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: [ Vaporwave ] and depicting this scene: In a sunny park in Madagascar, a group of graduates in graduation gowns and caps are celebrating with their Bachelor's degrees in parks, recreation, leisure, fitness, and kinesiology. Nearby, solar panels are soaking up the bright sunlight and generating clean energy for the surrounding area. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a surreal, vaporwave-inspired park scene in Madagascar. Show a group of graduates in colorful graduation gowns and caps, celebrating with their Bachelor's degrees in parks, recreation, leisure, fitness, and kinesiology. The atmosphere should exude a retro-futuristic vibe with vibrant pastel colors. In the background, depict sleek and modern solar panels absorbing the bright sunlight, juxtaposed against the natural beauty of the park. The composition should convey a sense of harmony between human achievement and sustainable, clean energy, infused with the dreamy aesthetics of vaporwave art.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Bachelor's degrees awarded in Parks, recreation, leisure, fitness, and kinesiology caused Solar power generated in Madagascar to increase.

AI academic paper

(Because p < 0.01)

In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar

The Journal of Eclectic Ecotourism Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Bachelor's degrees awarded in Parks, recreation, leisure, fitness, and kinesiology and Solar power generated in Madagascar. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar

[[ABSTRACT]]
The perplexing relationship between Bachelor's degrees granted in parks, recreation, leisure, fitness, and kinesiology and solar power produced in Madagascar has been explored in this study. Using rigorous data analysis and statistical methods, our research team unearthed an astonishing correlation coefficient of 0.9955660 and a significant p-value of less than 0.01 for the period spanning from 2012 to 2021. Despite the apparent disconnect between the realms of academia and solar energy, our findings revealed an unexpectedly tight bond between the two, leaving us to wonder if the allure of outdoor activities and the allure of renewable energy are inexplicably intertwined. This study delves into the unlikely fellowship of these two seemingly incongruous endeavors, with the hope of shedding light on this obscure phenomenon and unveiling the hidden potential for puns that lies within scholarly research.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of academic pursuits in the fields of parks, recreation, leisure, fitness, and kinesiology with the production of solar power in Madagascar presents a curious conundrum that has elicited both skepticism and fascination within the scholarly community. While the idea of correlating seemingly unrelated variables may raise eyebrows among traditional researchers, our study aims to unravel the enigma that lies at the juncture of these disparate domains.
As we embark on this quest, it is apt to acknowledge the inherent intrigue of this peculiar partnership. At first glance, the mere notion of a correlation between Bachelor's degrees in park-related disciplines and solar power generation in Madagascar may seem as unlikely as finding a statistical outlier in a data set of penguins' preferences for cold climates. However, as diligent researchers, we always keep an open mind and are compelled to explore the unlikeliest of connections, lest we miss out on the chance to uncover hidden patterns akin to finding Easter eggs in an overly complex statistical model.
The concept of sustainable energy and the pursuit of physical well-being share an unforeseen kinship, one that harks back to the age-old adage that "the sun is the best medicine." The alluring appeal of basking in the warm embrace of solar radiation and the pursuit of leisurely activities in natural landscapes may harbor a deeper connection than meets the eye, much like the hidden correlations waiting to be unearthed within a dense dataset.
In unraveling this enthralling enigma, our research team employs robust statistical methods and analytical rigor to tease out the subtle relationships between these ostensibly incongruous spheres. While at first glance, parks and solar panels might appear as disparate as asymptotes in a statistical graph, we are compelled to approach this study with the same seriousness and dedication as one would use to determine the correlation between the frequency of dad jokes and the productivity of office workers.
This study endeavors to shed light on this seemingly absurd affiliation using meticulous data analysis, stringent statistical measures, and a healthy dose of scientific curiosity. As we navigate through the labyrinth of data, let us not only seek to uncover the statistical significance of this relationship but also revel in the delight of stumbling upon unexpected connections, akin to finding a statistical unicorn amidst a herd of ordinary data points.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The investigation into the perplexing relationship between Bachelor's degrees awarded in parks, recreation, leisure, fitness, and kinesiology and solar power generated in Madagascar has ignited a quest for knowledge, much like the protagonist of a Greek tragedy searching for the lost city of Atlantis - a pursuit destined to bewilder and enthrall in equal measure. The field of park studies, while often overshadowed by more mainstream academic disciplines, has long maintained an air of whimsy, much like a park ranger donning a unicorn costume to lead nature walks.

Smith (2020) suggests that the academic pursuits in these fields may hold the key to unlocking the solar potential of regions typically thought to be unsuitable for large-scale renewable energy projects. This notion resonates with the surprising discovery that a seemingly innocuous leaf can be a source of energy, akin to finding a hidden treasure trove in a scholarly library.

In their seminal work, Doe and Jones (2018) delve into the intricate connection between human movement and energy production, hinting at the possibility that the physical activities associated with park studies could somehow inspire a flip of the solar switch in Madagascar. This unconventional link between academia and energy production is as unexpected as finding a tropical fruit salad in the Antarctic - a fusion of elements that defies conventional wisdom and leaves scholars scratching their heads.

Turning to non-fiction explorations of renewable energy and leisurely pursuits, "The Green Guide to Solar Power" by Renewable Energy Experts (2019) serves as a beacon of knowledge in the quest to illuminate the intersection of park-related studies and solar energy. Meanwhile, "Leisure and Recreation in Green Spaces" by Environmental Enthusiasts (2017) offers a comprehensive view of the potential nexus between outdoor activities and sustainable energy generation.

In the realm of fiction, works such as "Solar Surfing Adventures" by Sunshine Scribe (2015) and "Kinesiology Chronicles: The Quest for Sustainable Energy" by Fitness Fictionist (2013) paint a whimsical picture of the intertwining of park studies and solar power, weaving a tale as improbable as a penguin attempting to break the world record for high jump.

On the silver screen, movies such as "Sunshine Serendipity" and "The Kinesiology Connection" provide a cinematic glimpse into the unlikely bond between leisure pursuits and renewable energy, offering a visual representation as outlandish as a statistical outlier donning a superhero cape.

To traverse the uncharted territory of this curious correlation is to embark on a scientific voyage unlike any other, replete with unexpected twists and turns that leave the scholarly community simultaneously perplexed and exhilarated. As we journey further into the heart of this peculiar pairing, we must remain vigilant for the possibility of uncovering the grand unified theory of academia and solar power, while also keeping an eye out for any statistical unicorns that may graze within our dataset, waiting to be discovered.

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 Bachelor's degrees awarded in Parks, recreation, leisure, fitness, and kinesiology and Solar power generated in Madagascar. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Energy Information Administration . You used data from 2012 to 2021

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar

[[ABSTRACT]]
The perplexing relationship between Bachelor's degrees granted in parks, recreation, leisure, fitness, and kinesiology and solar power produced in Madagascar has been explored in this study. Using rigorous data analysis and statistical methods, our research team unearthed an astonishing correlation coefficient of 0.9955660 and a significant p-value of less than 0.01 for the period spanning from 2012 to 2021. Despite the apparent disconnect between the realms of academia and solar energy, our findings revealed an unexpectedly tight bond between the two, leaving us to wonder if the allure of outdoor activities and the allure of renewable energy are inexplicably intertwined. This study delves into the unlikely fellowship of these two seemingly incongruous endeavors, with the hope of shedding light on this obscure phenomenon and unveiling the hidden potential for puns that lies within scholarly research.

[[INTRODUCTION]]
The intersection of academic pursuits in the fields of parks, recreation, leisure, fitness, and kinesiology with the production of solar power in Madagascar presents a curious conundrum that has elicited both skepticism and fascination within the scholarly community. While the idea of correlating seemingly unrelated variables may raise eyebrows among traditional researchers, our study aims to unravel the enigma that lies at the juncture of these disparate domains.
As we embark on this quest, it is apt to acknowledge the inherent intrigue of this peculiar partnership. At first glance, the mere notion of a correlation between Bachelor's degrees in park-related disciplines and solar power generation in Madagascar may seem as unlikely as finding a statistical outlier in a data set of penguins' preferences for cold climates. However, as diligent researchers, we always keep an open mind and are compelled to explore the unlikeliest of connections, lest we miss out on the chance to uncover hidden patterns akin to finding Easter eggs in an overly complex statistical model.
The concept of sustainable energy and the pursuit of physical well-being share an unforeseen kinship, one that harks back to the age-old adage that "the sun is the best medicine." The alluring appeal of basking in the warm embrace of solar radiation and the pursuit of leisurely activities in natural landscapes may harbor a deeper connection than meets the eye, much like the hidden correlations waiting to be unearthed within a dense dataset.
In unraveling this enthralling enigma, our research team employs robust statistical methods and analytical rigor to tease out the subtle relationships between these ostensibly incongruous spheres. While at first glance, parks and solar panels might appear as disparate as asymptotes in a statistical graph, we are compelled to approach this study with the same seriousness and dedication as one would use to determine the correlation between the frequency of dad jokes and the productivity of office workers.
This study endeavors to shed light on this seemingly absurd affiliation using meticulous data analysis, stringent statistical measures, and a healthy dose of scientific curiosity. As we navigate through the labyrinth of data, let us not only seek to uncover the statistical significance of this relationship but also revel in the delight of stumbling upon unexpected connections, akin to finding a statistical unicorn amidst a herd of ordinary data points.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To navigate the labyrinth of this perplexing puzzle, our research team embarked on a quest to gather and analyze a myriad of data sources spanning the realms of academia and solar energy production. With the precision of a surgeon wielding a statistical scalpel, we delved into the National Center for Education Statistics and the Energy Information Administration to extract the necessary variables for our study.

Firstly, we ventured into the realm of Bachelor's degrees granted in parks, recreation, leisure, fitness, and kinesiology, meticulously documenting the annual tally of graduates embarking on the noble pursuit of park-related knowledge. This pursuit was not unlike searching for a specific molecule in a flacon of chemical compounds, except our precious molecule in this case happened to be Bachelor's degrees surrounded by a forest of educational statistics.

Having secured the academic data, we then turned our gaze towards the sun-soaked lands of Madagascar, where solar power generation stands as a beacon of sustainable energy amidst the sea of traditional power sources. We gathered data on the solar power generated in megawatt-hours, akin to counting the photons in a beam of sunlight, albeit from a much less poetic perspective.

With these datasets in hand, we unleashed the power of correlation analysis, aiming to unveil the dormant connection between these seemingly disparate variables. Employing robust statistical techniques, we sought to uncover the potential bond between the pursuit of park-related knowledge and the vibrant dance of solar rays in the Malagasy sky.

Our analytical arsenal included measures such as Pearson's correlation coefficient, which allowed us to quantify the strength and direction of any relationship discovered. Performing these analyses was not unlike unraveling a complex riddle, albeit one laden with data points and regression models rather than cryptic clues and enigmatic runes.

In addition to correlation analysis, we subjected our findings to rigorous hypothesis testing, employing the formidable p-value to determine the statistical significance of any connection unearthed. This process involved setting out to find a needle in the haystack of statistical probabilities, albeit one that possessed the potential to illuminate the obscure nexus between academic pursuits and renewable energy in a manner that no ordinary needle ever could.

The temporal dimension of our study spanned from 2012 to 2021, a period during which we witnessed the undulating ebb and flow of both Bachelor's degrees in park-related disciplines and solar power generation in the lush landscape of Madagascar. Our selection of this timeframe was not unlike choosing the ideal vintage for a fine wine, except in this case, we were sifting through years of data rather than sampling from a cellar of well-aged Merlots and Chardonnays.

With these methodical steps in place, we set forth to unravel the enigmatic connection between Bachelor's degrees in park-related disciplines and the prodigious generation of solar power in the captivating land of Madagascar, armed with an insatiable hunger for knowledge and a healthy dose of scientific curiosity.

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 Bachelor's degrees awarded in Parks, recreation, leisure, fitness, and kinesiology and Solar power generated in Madagascar. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2012 to 2021, you found a correlation 0.9955660, r-squared of 0.9911516, 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]]
In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar

[[ABSTRACT]]
The perplexing relationship between Bachelor's degrees granted in parks, recreation, leisure, fitness, and kinesiology and solar power produced in Madagascar has been explored in this study. Using rigorous data analysis and statistical methods, our research team unearthed an astonishing correlation coefficient of 0.9955660 and a significant p-value of less than 0.01 for the period spanning from 2012 to 2021. Despite the apparent disconnect between the realms of academia and solar energy, our findings revealed an unexpectedly tight bond between the two, leaving us to wonder if the allure of outdoor activities and the allure of renewable energy are inexplicably intertwined. This study delves into the unlikely fellowship of these two seemingly incongruous endeavors, with the hope of shedding light on this obscure phenomenon and unveiling the hidden potential for puns that lies within scholarly research.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of academic pursuits in the fields of parks, recreation, leisure, fitness, and kinesiology with the production of solar power in Madagascar presents a curious conundrum that has elicited both skepticism and fascination within the scholarly community. While the idea of correlating seemingly unrelated variables may raise eyebrows among traditional researchers, our study aims to unravel the enigma that lies at the juncture of these disparate domains.
As we embark on this quest, it is apt to acknowledge the inherent intrigue of this peculiar partnership. At first glance, the mere notion of a correlation between Bachelor's degrees in park-related disciplines and solar power generation in Madagascar may seem as unlikely as finding a statistical outlier in a data set of penguins' preferences for cold climates. However, as diligent researchers, we always keep an open mind and are compelled to explore the unlikeliest of connections, lest we miss out on the chance to uncover hidden patterns akin to finding Easter eggs in an overly complex statistical model.
The concept of sustainable energy and the pursuit of physical well-being share an unforeseen kinship, one that harks back to the age-old adage that "the sun is the best medicine." The alluring appeal of basking in the warm embrace of solar radiation and the pursuit of leisurely activities in natural landscapes may harbor a deeper connection than meets the eye, much like the hidden correlations waiting to be unearthed within a dense dataset.
In unraveling this enthralling enigma, our research team employs robust statistical methods and analytical rigor to tease out the subtle relationships between these ostensibly incongruous spheres. While at first glance, parks and solar panels might appear as disparate as asymptotes in a statistical graph, we are compelled to approach this study with the same seriousness and dedication as one would use to determine the correlation between the frequency of dad jokes and the productivity of office workers.
This study endeavors to shed light on this seemingly absurd affiliation using meticulous data analysis, stringent statistical measures, and a healthy dose of scientific curiosity. As we navigate through the labyrinth of data, let us not only seek to uncover the statistical significance of this relationship but also revel in the delight of stumbling upon unexpected connections, akin to finding a statistical unicorn amidst a herd of ordinary data points.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The correlation analysis between the number of Bachelor's degrees awarded in parks, recreation, leisure, fitness, and kinesiology and the solar power generated in Madagascar yielded an eyebrow-raising correlation coefficient of 0.9955660. This coefficient suggests a remarkably strong positive relationship between the two variables, akin to the connection between a researcher and their caffeine fix during late-night data crunching sessions.

Additionally, the r-squared value of 0.9911516 indicates that approximately 99.11% of the variability in solar power generation in Madagascar can be explained by the number of Bachelor's degrees awarded in park-related disciplines. This high explanatory power is perhaps unsurprising, considering the perseverance and determination needed to pursue a degree in leisure and fitness, much like the energy and determination required to harness solar power effectively.

Furthermore, the p-value of less than 0.01 provides compelling evidence to reject the null hypothesis of no association between these variables, affirming a statistically significant relationship. The strength of this statistical significance is akin to finding a needle in a haystack, or in our case, a significant p-value in the vast expanse of data.

In summary, the results of this analysis unveil a connection between the pursuit of park-related education and the harnessing of solar energy in Madagascar that is as striking as discovering a correlation between the number of sunburn cases and attendance at outdoor fitness classes. These findings challenge conventional wisdom and shed light on the unexpected and, at times, whimsical nature of statistical relationships within the realm of scholarly 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 discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Parks, recreation, leisure, fitness, and kinesiology and Solar power generated in Madagascar. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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]]
In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar

[[ABSTRACT]]
The perplexing relationship between Bachelor's degrees granted in parks, recreation, leisure, fitness, and kinesiology and solar power produced in Madagascar has been explored in this study. Using rigorous data analysis and statistical methods, our research team unearthed an astonishing correlation coefficient of 0.9955660 and a significant p-value of less than 0.01 for the period spanning from 2012 to 2021. Despite the apparent disconnect between the realms of academia and solar energy, our findings revealed an unexpectedly tight bond between the two, leaving us to wonder if the allure of outdoor activities and the allure of renewable energy are inexplicably intertwined. This study delves into the unlikely fellowship of these two seemingly incongruous endeavors, with the hope of shedding light on this obscure phenomenon and unveiling the hidden potential for puns that lies within scholarly research.

[[LITERATURE REVIEW]]
The investigation into the perplexing relationship between Bachelor's degrees awarded in parks, recreation, leisure, fitness, and kinesiology and solar power generated in Madagascar has ignited a quest for knowledge, much like the protagonist of a Greek tragedy searching for the lost city of Atlantis - a pursuit destined to bewilder and enthrall in equal measure. The field of park studies, while often overshadowed by more mainstream academic disciplines, has long maintained an air of whimsy, much like a park ranger donning a unicorn costume to lead nature walks.
Smith (2020) suggests that the academic pursuits in these fields may hold the key to unlocking the solar potential of regions typically thought to be unsuitable for large-scale renewable energy projects. This notion resonates with the surprising discovery that a seemingly innocuous leaf can be a source of energy, akin to finding a hidden treasure trove in a scholarly library.
In their seminal work, Doe and Jones (2018) delve into the intricate connection between human movement and energy production, hinting at the possibility that the physical activities associated with park studies could somehow inspire a flip of the solar switch in Madagascar. This unconventional link between academia and energy production is as unexpected as finding a tropical fruit salad in the Antarctic - a fusion of elements that defies conventional wisdom and leaves scholars scratching their heads.
Turning to non-fiction explorations of renewable energy and leisurely pursuits, "The Green Guide to Solar Power" by Renewable Energy Experts (2019) serves as a beacon of knowledge in the quest to illuminate the intersection of park-related studies and solar energy. Meanwhile, "Leisure and Recreation in Green Spaces" by Environmental Enthusiasts (2017) offers a comprehensive view of the potential nexus between outdoor activities and sustainable energy generation.
In the realm of fiction, works such as "Solar Surfing Adventures" by Sunshine Scribe (2015) and "Kinesiology Chronicles: The Quest for Sustainable Energy" by Fitness Fictionist (2013) paint a whimsical picture of the intertwining of park studies and solar power, weaving a tale as improbable as a penguin attempting to break the world record for high jump.
On the silver screen, movies such as "Sunshine Serendipity" and "The Kinesiology Connection" provide a cinematic glimpse into the unlikely bond between leisure pursuits and renewable energy, offering a visual representation as outlandish as a statistical outlier donning a superhero cape.
To traverse the uncharted territory of this curious correlation is to embark on a scientific voyage unlike any other, replete with unexpected twists and turns that leave the scholarly community simultaneously perplexed and exhilarated. As we journey further into the heart of this peculiar pairing, we must remain vigilant for the possibility of uncovering the grand unified theory of academia and solar power, while also keeping an eye out for any statistical unicorns that may graze within our dataset, waiting to be discovered.

[[RESULTS]]
The correlation analysis between the number of Bachelor's degrees awarded in parks, recreation, leisure, fitness, and kinesiology and the solar power generated in Madagascar yielded an eyebrow-raising correlation coefficient of 0.9955660. This coefficient suggests a remarkably strong positive relationship between the two variables, akin to the connection between a researcher and their caffeine fix during late-night data crunching sessions.
Additionally, the r-squared value of 0.9911516 indicates that approximately 99.11% of the variability in solar power generation in Madagascar can be explained by the number of Bachelor's degrees awarded in park-related disciplines. This high explanatory power is perhaps unsurprising, considering the perseverance and determination needed to pursue a degree in leisure and fitness, much like the energy and determination required to harness solar power effectively.
Furthermore, the p-value of less than 0.01 provides compelling evidence to reject the null hypothesis of no association between these variables, affirming a statistically significant relationship. The strength of this statistical significance is akin to finding a needle in a haystack, or in our case, a significant p-value in the vast expanse of data.
In summary, the results of this analysis unveil a connection between the pursuit of park-related education and the harnessing of solar energy in Madagascar that is as striking as discovering a correlation between the number of sunburn cases and attendance at outdoor fitness classes. These findings challenge conventional wisdom and shed light on the unexpected and, at times, whimsical nature of statistical relationships within the realm of scholarly research.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study have led us down a path that is as enlightening as it is amusing, uncovering a correlation that is tighter than a scientist's lab coat during a particularly exciting experiment. Our results not only support the prior research but also add a touch of whimsy to the realm of statistical correlations, much like sprinkling fairy dust on the typically dry landscape of academia.

The link between the number of Bachelor's degrees awarded in parks, recreation, leisure, fitness, and kinesiology and the solar power generated in Madagascar is perhaps as unexpected as discovering a hidden talent for interpretative dance at a physics conference, but nevertheless, our data paints a clear picture of their inexplicable correlation.

Drawing back to the literature review, we can see that the notion of academia holding the key to unlocking solar potential is not as far-fetched as it may seem at first glance. Much like the unassuming leaf that harbors a surprising energy potential, the pursuit of knowledge in leisure and fitness may indeed be intertwined with the production of solar energy in ways that transcend traditional scientific understanding – a revelation as startling as finding a pineapple in a landlocked country.

Furthermore, the unexpected fellowship between human movement and energy production, as hinted at by Doe and Jones (2018), finds resonance in our findings, much like a harmonious duet between two seemingly disparate entities.

It may be as perplexing as trying to fathom the idea of spontaneous human combustion, but our results provide empirical evidence that challenges conventional wisdom and opens the door to a realm of statistical interplay that is simultaneously confounding and exhilarating.

In summary, our study not only sheds light on the astounding correlation between the pursuit of park-related education and solar energy generation in Madagascar but also adds a touch of sparkle to the oftentimes staid and serious world of scholarly research, much like a well-timed magic trick at a science conference.

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 Bachelor's degrees awarded in Parks, recreation, leisure, fitness, and kinesiology and Solar power generated in Madagascar. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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]]
In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar

[[ABSTRACT]]
The perplexing relationship between Bachelor's degrees granted in parks, recreation, leisure, fitness, and kinesiology and solar power produced in Madagascar has been explored in this study. Using rigorous data analysis and statistical methods, our research team unearthed an astonishing correlation coefficient of 0.9955660 and a significant p-value of less than 0.01 for the period spanning from 2012 to 2021. Despite the apparent disconnect between the realms of academia and solar energy, our findings revealed an unexpectedly tight bond between the two, leaving us to wonder if the allure of outdoor activities and the allure of renewable energy are inexplicably intertwined. This study delves into the unlikely fellowship of these two seemingly incongruous endeavors, with the hope of shedding light on this obscure phenomenon and unveiling the hidden potential for puns that lies within scholarly research.

[[INTRDUCTION]]
The intersection of academic pursuits in the fields of parks, recreation, leisure, fitness, and kinesiology with the production of solar power in Madagascar presents a curious conundrum that has elicited both skepticism and fascination within the scholarly community. While the idea of correlating seemingly unrelated variables may raise eyebrows among traditional researchers, our study aims to unravel the enigma that lies at the juncture of these disparate domains.
As we embark on this quest, it is apt to acknowledge the inherent intrigue of this peculiar partnership. At first glance, the mere notion of a correlation between Bachelor's degrees in park-related disciplines and solar power generation in Madagascar may seem as unlikely as finding a statistical outlier in a data set of penguins' preferences for cold climates. However, as diligent researchers, we always keep an open mind and are compelled to explore the unlikeliest of connections, lest we miss out on the chance to uncover hidden patterns akin to finding Easter eggs in an overly complex statistical model.
The concept of sustainable energy and the pursuit of physical well-being share an unforeseen kinship, one that harks back to the age-old adage that "the sun is the best medicine." The alluring appeal of basking in the warm embrace of solar radiation and the pursuit of leisurely activities in natural landscapes may harbor a deeper connection than meets the eye, much like the hidden correlations waiting to be unearthed within a dense dataset.
In unraveling this enthralling enigma, our research team employs robust statistical methods and analytical rigor to tease out the subtle relationships between these ostensibly incongruous spheres. While at first glance, parks and solar panels might appear as disparate as asymptotes in a statistical graph, we are compelled to approach this study with the same seriousness and dedication as one would use to determine the correlation between the frequency of dad jokes and the productivity of office workers.
This study endeavors to shed light on this seemingly absurd affiliation using meticulous data analysis, stringent statistical measures, and a healthy dose of scientific curiosity. As we navigate through the labyrinth of data, let us not only seek to uncover the statistical significance of this relationship but also revel in the delight of stumbling upon unexpected connections, akin to finding a statistical unicorn amidst a herd of ordinary data points.

[[RESULTS]]
The correlation analysis between the number of Bachelor's degrees awarded in parks, recreation, leisure, fitness, and kinesiology and the solar power generated in Madagascar yielded an eyebrow-raising correlation coefficient of 0.9955660. This coefficient suggests a remarkably strong positive relationship between the two variables, akin to the connection between a researcher and their caffeine fix during late-night data crunching sessions.
Additionally, the r-squared value of 0.9911516 indicates that approximately 99.11% of the variability in solar power generation in Madagascar can be explained by the number of Bachelor's degrees awarded in park-related disciplines. This high explanatory power is perhaps unsurprising, considering the perseverance and determination needed to pursue a degree in leisure and fitness, much like the energy and determination required to harness solar power effectively.
Furthermore, the p-value of less than 0.01 provides compelling evidence to reject the null hypothesis of no association between these variables, affirming a statistically significant relationship. The strength of this statistical significance is akin to finding a needle in a haystack, or in our case, a significant p-value in the vast expanse of data.
In summary, the results of this analysis unveil a connection between the pursuit of park-related education and the harnessing of solar energy in Madagascar that is as striking as discovering a correlation between the number of sunburn cases and attendance at outdoor fitness classes. These findings challenge conventional wisdom and shed light on the unexpected and, at times, whimsical nature of statistical relationships within the realm of scholarly research.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has brought to the forefront the confounding correlation between Bachelor's degrees awarded in park-related disciplines and solar power generated in Madagascar. The remarkably high correlation coefficient and the overwhelmingly significant p-value indicate a strong relationship, reminiscent of the tight bond between researchers and their beloved coffee. The findings are as clear as the benefits of sunshine on a day off – undeniable and pleasantly surprising. The unexpected fellowship between park studies and solar energy production invites further contemplation, much like stumbling upon a statistical anomaly amidst the sea of data points. Nevertheless, it is safe to say that the intertwining of these two seemingly incongruous endeavors is as real as the agony of trying to find the right statistical model for one's research. In light of these significant findings, we assert that no further investigation is warranted in this area, as the association is as evident as the impact of gravity on a falling object.

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 In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Eclectic Ecotourism Studies

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 In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Ecological Explorations

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 In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar with an abstract of The perplexing relationship between Bachelor's degrees granted in parks, recreation, leisure, fitness, and kinesiology and solar power produced in Madagascar has been explored in this study. Using rigorous data analysis and statistical methods, our research team unearthed an astonishing correlation coefficient of 0.9955660 and a significant p-value of less than 0.01 for the period spanning from 2012 to 2021. Despite the apparent disconnect between the realms of academia and solar energy, our findings revealed an unexpectedly tight bond between the two, leaving us to wonder if the allure of outdoor activities and the allure of renewable energy are inexplicably intertwined. This study delves into the unlikely fellowship of these two seemingly incongruous endeavors, with the hope of shedding light on this obscure phenomenon and unveiling the hidden potential for puns that lies within scholarly research.

ChatGPT:

parks studies, solar power, Madagascar, Bachelor's degrees, recreation, leisure, fitness, kinesiology, correlation coefficient, data analysis, statistical methods, renewable energy, outdoor activities, academia, research, Madagascar, solar power production

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

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Data details

Bachelor's degrees awarded in Parks & Recreation
Detailed data title: Bachelor's degrees conferred by postsecondary institutions, in field of study: Parks, recreation, leisure, fitness, and kinesiology
Source: National Center for Education Statistics
See what else correlates with Bachelor's degrees awarded in Parks & Recreation

Solar power generated in Madagascar
Detailed data title: Total solar power generated in Madagascar in billion kWh
Source: Energy Information Administration
See what else correlates with Solar power generated in Madagascar

Correlation r = 0.9955660 (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 = 0.9911516 (Coefficient of determination)
This means 99.1% of the change in the one variable (i.e., Solar power generated in Madagascar) is predictable based on the change in the other (i.e., Bachelor's degrees awarded in Parks & Recreation) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.7E-9.^Show 0.0000000016820949683870674000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 1 in 1.7E-7% of random cases. Said differently, if you correlated 594,496,755 random variables^Note You don't actually need 594 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 9 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.98, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Bachelor's degrees awarded in Parks & Recreation (Degrees awarded)	38998	42628	46047	49008	50912	53292	53887	53540	53749	54294
Solar power generated in Madagascar (Billion kWh)	0.005	0.009	0.012	0.016	0.019	0.023	0.023	0.023	0.023	0.023

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([38998,42628,46047,49008,50912,53292,53887,53540,53749,54294,])
array_2 = np.array([0.005,0.009,0.012,0.016,0.019,0.023,0.023,0.023,0.023,0.023,])
array_1_name = "Bachelor's degrees awarded in Parks & Recreation"
array_2_name = "Solar power generated in Madagascar"

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

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

Reuseable content

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

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

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

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

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

Download images for these variables:

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

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

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Bachelor's degrees awarded in Parks & Recreation
Line chart for only Solar power generated in Madagascar
AI-generated correlation image
The spurious research paper: In Pursuit of Park Studies to Spark Solar Rays: A Bizarre Baccalaureate Ballet in Madagascar

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Correlation ID: 1836 · Black Variable ID: 1286 · Red Variable ID: 23803


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