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Spurious correlation #4,870 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'pork and beans' meme and the second variable is Jet fuel used in Niue.  The chart goes from 2006 to 2021, and the two variables track closely in value over that time. Small Image

AI explanation

The 'pork and beans' meme is so hot right now that it's making Niue want to jet-set around the world, hence the increased demand for jet fuel. It's like the island nation suddenly has a need for speed, all thanks to a bunch of internet users finding humor in a can of pork and beans. And who can blame them? Those memes are truly taking Niue to new heights!

Create a meme inspired by the pork and beans meme that in some way references Jet fuel used in Niue. Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.
This image generation prompt was also generated by AI, using the following sequence:

*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 Popularity of the 'pork and beans' meme caused Jet fuel used in Niue to increase.

AI academic paper

(Because p < 0.01)
Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue

The Journal of Pseudoscience and Bacon Studies

Jan 2024
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 silly 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 Popularity of the 'pork and beans' meme and Jet fuel used in Niue. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Your research team used data from Google Trends and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.8814673 and p < 0.01 for 2006 to 2021.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
"Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue"

[[ABSTRACT]]
This study delves into the quirky yet profound relationship between the popular internet meme 'pork and beans' and the consumption of jet fuel in the idyllic island nation of Niue. Utilizing data from Google Trends and the Energy Information Administration, we apply rigorous statistical analysis to unravel this enigmatic correlation. Our findings reveal a striking correlation coefficient of 0.8814673 and p < 0.01 during the period from 2006 to 2021, suggesting a peculiar link between the two seemingly unrelated phenomena. In essence, it seems that pigs may indeed have a "jet-setting" impact on the island community, much to the delight of our porcine pun enthusiasts.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 Popularity of the 'pork and beans' meme and Jet fuel used in Niue. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue"

[[ABSTRACT]]
This study delves into the quirky yet profound relationship between the popular internet meme 'pork and beans' and the consumption of jet fuel in the idyllic island nation of Niue. Utilizing data from Google Trends and the Energy Information Administration, we apply rigorous statistical analysis to unravel this enigmatic correlation. Our findings reveal a striking correlation coefficient of 0.8814673 and p < 0.01 during the period from 2006 to 2021, suggesting a peculiar link between the two seemingly unrelated phenomena. In essence, it seems that pigs may indeed have a "jet-setting" impact on the island community, much to the delight of our porcine pun enthusiasts.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

As the great Isaac Newton once said, "For every action, there is an equal and opposite reaction." In the context of our study, we could rephrase it as, "For every internet meme, there is a statistically significant connection to unexpected phenomena." So, what do pork and beans, internet culture, and jet fuel have in common? It may sound like the setup for a classic "dad joke," but the data suggests there’s more to this swine connection than meets the eye.

Speaking of dad jokes, did you hear about the restaurant on the moon? Great food, no atmosphere. Well, our research isn't about lunar cuisine, but it does involve a rather unexpected pairing akin to the cosmic joke of serving pork and beans next to the rocket fuel.

Many might approach the 'pork and beans' meme with mild amusement, hardly expecting it to lead to anything weighty or substantial. Similarly, jet fuel might seem like a topic best left to engineers and aviation enthusiasts, not researchers exploring the whimsical byways of internet culture and island economics. However, as the saying goes, "never judge a book by its cover," or in this case, a meme by its lightheartedness.

But wait, there's "meme-age" brewing! Our study dives into the surprising correlation between the prevalence of the 'pork and beans' meme and the consumption of jet fuel in Niue. While it may seem like a nonsensical connection at first glance, we assure you, the statistical pudding is in the eating.

Now, why did the statistician break up with the psychologist? Because they weren't getting their correlation coefficient! In all seriousness, the correlation we found was anything but a statistical joke. Using data from Google Trends and the Energy Information Administration, we meticulously scrutinized the fluctuations in meme popularity and jet fuel consumption over the past decade and a half.

Our findings may seem as unexpected as a vial of jet fuel in a pigsty, but the correlation coefficient of 0.8814673 and p < 0.01 from 2006 to 2021 is no fluke. It appears that a relationship, as bizarre as it may sound, does indeed exist.

With these findings, we are not suggesting that memes have somehow diversified into swine aviation or that pigs are secretly fueling the island's planes. We do, however, highlight the significance of discerning patterns in seemingly unrelated data, even if they prompt a laugh or two along the way. So, fasten your seatbelts and prepare for a flight of statistical fancy as we delve into the peculiar pigging out of data in our porcine pursuit of knowledge.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 Popularity of the 'pork and beans' meme and Jet fuel used in Niue. 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 name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
"Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue"

[[ABSTRACT]]
This study delves into the quirky yet profound relationship between the popular internet meme 'pork and beans' and the consumption of jet fuel in the idyllic island nation of Niue. Utilizing data from Google Trends and the Energy Information Administration, we apply rigorous statistical analysis to unravel this enigmatic correlation. Our findings reveal a striking correlation coefficient of 0.8814673 and p < 0.01 during the period from 2006 to 2021, suggesting a peculiar link between the two seemingly unrelated phenomena. In essence, it seems that pigs may indeed have a "jet-setting" impact on the island community, much to the delight of our porcine pun enthusiasts.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the great Isaac Newton once said, "For every action, there is an equal and opposite reaction." In the context of our study, we could rephrase it as, "For every internet meme, there is a statistically significant connection to unexpected phenomena." So, what do pork and beans, internet culture, and jet fuel have in common? It may sound like the setup for a classic "dad joke," but the data suggests there’s more to this swine connection than meets the eye.
Speaking of dad jokes, did you hear about the restaurant on the moon? Great food, no atmosphere. Well, our research isn't about lunar cuisine, but it does involve a rather unexpected pairing akin to the cosmic joke of serving pork and beans next to the rocket fuel.
Many might approach the 'pork and beans' meme with mild amusement, hardly expecting it to lead to anything weighty or substantial. Similarly, jet fuel might seem like a topic best left to engineers and aviation enthusiasts, not researchers exploring the whimsical byways of internet culture and island economics. However, as the saying goes, "never judge a book by its cover," or in this case, a meme by its lightheartedness.
But wait, there's "meme-age" brewing! Our study dives into the surprising correlation between the prevalence of the 'pork and beans' meme and the consumption of jet fuel in Niue. While it may seem like a nonsensical connection at first glance, we assure you, the statistical pudding is in the eating.
Now, why did the statistician break up with the psychologist? Because they weren't getting their correlation coefficient! In all seriousness, the correlation we found was anything but a statistical joke. Using data from Google Trends and the Energy Information Administration, we meticulously scrutinized the fluctuations in meme popularity and jet fuel consumption over the past decade and a half.
Our findings may seem as unexpected as a vial of jet fuel in a pigsty, but the correlation coefficient of 0.8814673 and p < 0.01 from 2006 to 2021 is no fluke. It appears that a relationship, as bizarre as it may sound, does indeed exist.
With these findings, we are not suggesting that memes have somehow diversified into swine aviation or that pigs are secretly fueling the island's planes. We do, however, highlight the significance of discerning patterns in seemingly unrelated data, even if they prompt a laugh or two along the way. So, fasten your seatbelts and prepare for a flight of statistical fancy as we delve into the peculiar pigging out of data in our porcine pursuit of knowledge.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The connection between internet memes and seemingly unrelated phenomena has been a subject of increasing interest in recent academic studies. In "Memeonomics: The Art of Online Culture" by Smith and Doe, the authors discuss the impact of memes on consumer behavior and popular culture, shedding light on the potential influence of internet memes on societal trends and behaviors. Pigs, puns, and jet fuel may seem like an unlikely trio, but as our study will demonstrate, the 'pork and beans' meme has manifested some unexpected correlations.

Speaking of memes, did you hear about the pig who shared too many jokes? He became the 'ham' of the internet! Meme culture, while a lighthearted aspect of internet trends, has been the subject of serious academic inquiry. In "The Memeing of Life: Exploring Internet Culture" by Jones, the author delves into the profound impact of memes on social dynamics and humor, offering insight into the intricate interplay between internet trends and societal phenomena. Our study lends an interesting twist to this field, as we uncover the unanticipated connection between a popular meme and a rather unexpected reality in Niue.

In the world of fiction, books like "Seveneves" by Neal Stephenson and "The Island of Dr. Moreau" by H.G. Wells have explored the intersection of technology, island life, and unexpected transformations. While not directly related to our study, these works offer imaginative contexts that parallel the surprising correlations we have uncovered.

Now, onto internet phenomena that have captivated audiences globally. The 'pork and beans' meme, known for its humorous take on everyday situations, has garnered considerable attention on social media platforms, sparking creative variations and widespread engagement. Similarly, the 'jet fuel can't melt steel beams' meme has sparked widespread debate and speculation on the internet, underscoring the intriguing overlap between internet culture and real-world events. While seemingly distinct, these memes have become part of the digital tapestry that our study seeks to unravel in all its whimsical glory.

In conclusion, our study bridges the gap between internet culture and unexpected correlations, unveiling the swine connection between the 'pork and beans' meme and jet fuel consumption in Niue. By integrating rigorous statistical analysis and a touch of porcine punnery, we shed light on an unlikely relationship that defies conventional wisdom. As our research demonstrates, there's more to the world of memes and jet fuel than meets the eye, and perhaps a dash of humor can fuel the pursuit of knowledge in unexpected ways.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 Popularity of the 'pork and beans' meme and Jet fuel used in Niue. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Energy Information Administration . You used data from 2006 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]]
"Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue"

[[ABSTRACT]]
This study delves into the quirky yet profound relationship between the popular internet meme 'pork and beans' and the consumption of jet fuel in the idyllic island nation of Niue. Utilizing data from Google Trends and the Energy Information Administration, we apply rigorous statistical analysis to unravel this enigmatic correlation. Our findings reveal a striking correlation coefficient of 0.8814673 and p < 0.01 during the period from 2006 to 2021, suggesting a peculiar link between the two seemingly unrelated phenomena. In essence, it seems that pigs may indeed have a "jet-setting" impact on the island community, much to the delight of our porcine pun enthusiasts.

[[INTRODUCTION]]
As the great Isaac Newton once said, "For every action, there is an equal and opposite reaction." In the context of our study, we could rephrase it as, "For every internet meme, there is a statistically significant connection to unexpected phenomena." So, what do pork and beans, internet culture, and jet fuel have in common? It may sound like the setup for a classic "dad joke," but the data suggests there’s more to this swine connection than meets the eye.
Speaking of dad jokes, did you hear about the restaurant on the moon? Great food, no atmosphere. Well, our research isn't about lunar cuisine, but it does involve a rather unexpected pairing akin to the cosmic joke of serving pork and beans next to the rocket fuel.
Many might approach the 'pork and beans' meme with mild amusement, hardly expecting it to lead to anything weighty or substantial. Similarly, jet fuel might seem like a topic best left to engineers and aviation enthusiasts, not researchers exploring the whimsical byways of internet culture and island economics. However, as the saying goes, "never judge a book by its cover," or in this case, a meme by its lightheartedness.
But wait, there's "meme-age" brewing! Our study dives into the surprising correlation between the prevalence of the 'pork and beans' meme and the consumption of jet fuel in Niue. While it may seem like a nonsensical connection at first glance, we assure you, the statistical pudding is in the eating.
Now, why did the statistician break up with the psychologist? Because they weren't getting their correlation coefficient! In all seriousness, the correlation we found was anything but a statistical joke. Using data from Google Trends and the Energy Information Administration, we meticulously scrutinized the fluctuations in meme popularity and jet fuel consumption over the past decade and a half.
Our findings may seem as unexpected as a vial of jet fuel in a pigsty, but the correlation coefficient of 0.8814673 and p < 0.01 from 2006 to 2021 is no fluke. It appears that a relationship, as bizarre as it may sound, does indeed exist.
With these findings, we are not suggesting that memes have somehow diversified into swine aviation or that pigs are secretly fueling the island's planes. We do, however, highlight the significance of discerning patterns in seemingly unrelated data, even if they prompt a laugh or two along the way. So, fasten your seatbelts and prepare for a flight of statistical fancy as we delve into the peculiar pigging out of data in our porcine pursuit of knowledge.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To uncover the porky mysteries behind the 'pork and beans' meme and its connection to jet fuel consumption in Niue, we embarked on a data-hungry adventure fit for a statistical hog roast. Our research method may have raised a few eyebrows, but as the saying goes, there's more than one way to slice the bacon.

Firstly, we cast our net wide across the digital ocean, reeling in data from Google Trends to gauge the ebb and flow of 'pork and beans' meme popularity from 2006 to 2021. Our explanations for choosing this timespan are as wide-ranging as the dad jokes at a family reunion, but rest assured, it involved a hearty portion of number-crunching and trend analysis.

Next, we shifted our focus from the whimsical world of internet memes to the serious business of jet fuel consumption in Niue. Channeling our inner aviators, we tapped into the Energy Information Administration's data to measure the annual usage of jet fuel in the island's airspace. We wanted to leave no statistical stone unturned, even if it meant wading through more data than a pig at a buffet.

Now, you might be wondering, what about the research design? Well, we took a quantum leap into the realm of quasi-experimental methods, treating our variables like old friends at a reunion – treading carefully but ready to embrace the unexpected. Our aim was to explore the association between the popularity of the 'pork and beans' meme and jet fuel consumption while sidestepping any statistical turbulence and reaching a conclusion that wasn't hogwash.

Of course, no academic journey would be complete without facing the wild winds of regression analysis. We used this statistical tool to unravel the potential causal relationship between meme prevalence and jet fuel usage, navigating the treacherous currents of data with the exactitude of a porcine pilot.

Our analysis also included a comprehensive examination of other potential variables that could influence both meme popularity and jet fuel consumption, such as social media trends, economic indicators, and even the swine population on the island. We wanted to leave no stone unturned – even if it meant wading through more data than a pig at a buffet.

Finally, to ensure the reliability and validity of our findings, we implemented a robust statistical approach, employing a non-linear mixed-effects model with a Gaussian kernel and a side order of robust standard errors. This allowed us to sift through the statistical hay for that needle-in-a-haystack correlation between the 'pork and beans' meme and jet fuel consumption, all while steering clear of any statistical red herrings or pork-barrel politics.

In a nut(ty)shell, our methodology may have been as convoluted as a piglet's yarn, but rest assured, each step was taken with the precision of a squeaky-clean statistical runway. With our antennas tuned to the whimsy of internet culture and the steady hum of jet engines, we set out to unravel the porky paradox with a sprinkle of statistical salt and a dash of data peppered throughout.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 Popularity of the 'pork and beans' meme and Jet fuel used in Niue. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Energy Information Administration .

For the time period 2006 to 2021, you found a correlation 0.8814673, r-squared of 0.7769846, 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]]
"Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue"

[[ABSTRACT]]
This study delves into the quirky yet profound relationship between the popular internet meme 'pork and beans' and the consumption of jet fuel in the idyllic island nation of Niue. Utilizing data from Google Trends and the Energy Information Administration, we apply rigorous statistical analysis to unravel this enigmatic correlation. Our findings reveal a striking correlation coefficient of 0.8814673 and p < 0.01 during the period from 2006 to 2021, suggesting a peculiar link between the two seemingly unrelated phenomena. In essence, it seems that pigs may indeed have a "jet-setting" impact on the island community, much to the delight of our porcine pun enthusiasts.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
As the great Isaac Newton once said, "For every action, there is an equal and opposite reaction." In the context of our study, we could rephrase it as, "For every internet meme, there is a statistically significant connection to unexpected phenomena." So, what do pork and beans, internet culture, and jet fuel have in common? It may sound like the setup for a classic "dad joke," but the data suggests there’s more to this swine connection than meets the eye.
Speaking of dad jokes, did you hear about the restaurant on the moon? Great food, no atmosphere. Well, our research isn't about lunar cuisine, but it does involve a rather unexpected pairing akin to the cosmic joke of serving pork and beans next to the rocket fuel.
Many might approach the 'pork and beans' meme with mild amusement, hardly expecting it to lead to anything weighty or substantial. Similarly, jet fuel might seem like a topic best left to engineers and aviation enthusiasts, not researchers exploring the whimsical byways of internet culture and island economics. However, as the saying goes, "never judge a book by its cover," or in this case, a meme by its lightheartedness.
But wait, there's "meme-age" brewing! Our study dives into the surprising correlation between the prevalence of the 'pork and beans' meme and the consumption of jet fuel in Niue. While it may seem like a nonsensical connection at first glance, we assure you, the statistical pudding is in the eating.
Now, why did the statistician break up with the psychologist? Because they weren't getting their correlation coefficient! In all seriousness, the correlation we found was anything but a statistical joke. Using data from Google Trends and the Energy Information Administration, we meticulously scrutinized the fluctuations in meme popularity and jet fuel consumption over the past decade and a half.
Our findings may seem as unexpected as a vial of jet fuel in a pigsty, but the correlation coefficient of 0.8814673 and p < 0.01 from 2006 to 2021 is no fluke. It appears that a relationship, as bizarre as it may sound, does indeed exist.
With these findings, we are not suggesting that memes have somehow diversified into swine aviation or that pigs are secretly fueling the island's planes. We do, however, highlight the significance of discerning patterns in seemingly unrelated data, even if they prompt a laugh or two along the way. So, fasten your seatbelts and prepare for a flight of statistical fancy as we delve into the peculiar pigging out of data in our porcine pursuit of knowledge.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the data collected from Google Trends and the Energy Information Administration yielded a robust correlation coefficient of 0.8814673, with an r-squared value of 0.7769846 and a remarkable p-value of less than 0.01. These robust statistical indicators strongly support a significant relationship between the popularity of the 'pork and beans' meme and the consumption of jet fuel in Niue during the time period from 2006 to 2021.

It seems that the 'pork and beans' meme indeed had the ability to "jet" its way into another realm altogether, as the data illuminates an unexpected connection with the island nation's jet fuel consumption. This correlation is as surprising as a pig learning to fly, and yet the statistical evidence cannot be ignored. It appears that the appeal of the meme and the island's jet fuel usage have been moving in uncanny synchrony, akin to a pair of synchronized swimmers performing an unexpected, but enthralling routine.

Our analysis culminates in a striking scatterplot (Fig. 1), which visually encapsulates the strong positive correlation between the two variables. If a picture is worth a thousand words, then this scatterplot certainly paints an amusing and intriguing story of porcine influence on jet fuel consumption. The correlation depicted in the scatterplot is as clear as a bacon strip on a sunny morning and is likely to raise some eyebrows, much like a pig auditioning for an aviation role.

In conclusion, our findings uncover a correlation that is as unexpected as finding bacon bits in a jet engine. The 'pork and beans' meme appears to be leaving a conspicuous mark on the island's jet fuel consumption, creating a porcine puzzle that tickles our research-driven sense of humor. While we may not have expected a meme to piggyback its way into the world of energy consumption, the data unmistakably points to a captivating relationship that invites both amusement and further investigation.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 Popularity of the 'pork and beans' meme and Jet fuel used in Niue. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue"

[[ABSTRACT]]
This study delves into the quirky yet profound relationship between the popular internet meme 'pork and beans' and the consumption of jet fuel in the idyllic island nation of Niue. Utilizing data from Google Trends and the Energy Information Administration, we apply rigorous statistical analysis to unravel this enigmatic correlation. Our findings reveal a striking correlation coefficient of 0.8814673 and p < 0.01 during the period from 2006 to 2021, suggesting a peculiar link between the two seemingly unrelated phenomena. In essence, it seems that pigs may indeed have a "jet-setting" impact on the island community, much to the delight of our porcine pun enthusiasts.

[[LITERATURE REVIEW]]
The connection between internet memes and seemingly unrelated phenomena has been a subject of increasing interest in recent academic studies. In "Memeonomics: The Art of Online Culture" by Smith and Doe, the authors discuss the impact of memes on consumer behavior and popular culture, shedding light on the potential influence of internet memes on societal trends and behaviors. Pigs, puns, and jet fuel may seem like an unlikely trio, but as our study will demonstrate, the 'pork and beans' meme has manifested some unexpected correlations.
Speaking of memes, did you hear about the pig who shared too many jokes? He became the 'ham' of the internet! Meme culture, while a lighthearted aspect of internet trends, has been the subject of serious academic inquiry. In "The Memeing of Life: Exploring Internet Culture" by Jones, the author delves into the profound impact of memes on social dynamics and humor, offering insight into the intricate interplay between internet trends and societal phenomena. Our study lends an interesting twist to this field, as we uncover the unanticipated connection between a popular meme and a rather unexpected reality in Niue.
In the world of fiction, books like "Seveneves" by Neal Stephenson and "The Island of Dr. Moreau" by H.G. Wells have explored the intersection of technology, island life, and unexpected transformations. While not directly related to our study, these works offer imaginative contexts that parallel the surprising correlations we have uncovered.
Now, onto internet phenomena that have captivated audiences globally. The 'pork and beans' meme, known for its humorous take on everyday situations, has garnered considerable attention on social media platforms, sparking creative variations and widespread engagement. Similarly, the 'jet fuel can't melt steel beams' meme has sparked widespread debate and speculation on the internet, underscoring the intriguing overlap between internet culture and real-world events. While seemingly distinct, these memes have become part of the digital tapestry that our study seeks to unravel in all its whimsical glory.
In conclusion, our study bridges the gap between internet culture and unexpected correlations, unveiling the swine connection between the 'pork and beans' meme and jet fuel consumption in Niue. By integrating rigorous statistical analysis and a touch of porcine punnery, we shed light on an unlikely relationship that defies conventional wisdom. As our research demonstrates, there's more to the world of memes and jet fuel than meets the eye, and perhaps a dash of humor can fuel the pursuit of knowledge in unexpected ways.

[[RESULTS]]
The analysis of the data collected from Google Trends and the Energy Information Administration yielded a robust correlation coefficient of 0.8814673, with an r-squared value of 0.7769846 and a remarkable p-value of less than 0.01. These robust statistical indicators strongly support a significant relationship between the popularity of the 'pork and beans' meme and the consumption of jet fuel in Niue during the time period from 2006 to 2021.
It seems that the 'pork and beans' meme indeed had the ability to "jet" its way into another realm altogether, as the data illuminates an unexpected connection with the island nation's jet fuel consumption. This correlation is as surprising as a pig learning to fly, and yet the statistical evidence cannot be ignored. It appears that the appeal of the meme and the island's jet fuel usage have been moving in uncanny synchrony, akin to a pair of synchronized swimmers performing an unexpected, but enthralling routine.
Our analysis culminates in a striking scatterplot (Fig. 1), which visually encapsulates the strong positive correlation between the two variables. If a picture is worth a thousand words, then this scatterplot certainly paints an amusing and intriguing story of porcine influence on jet fuel consumption. The correlation depicted in the scatterplot is as clear as a bacon strip on a sunny morning and is likely to raise some eyebrows, much like a pig auditioning for an aviation role.
In conclusion, our findings uncover a correlation that is as unexpected as finding bacon bits in a jet engine. The 'pork and beans' meme appears to be leaving a conspicuous mark on the island's jet fuel consumption, creating a porcine puzzle that tickles our research-driven sense of humor. While we may not have expected a meme to piggyback its way into the world of energy consumption, the data unmistakably points to a captivating relationship that invites both amusement and further investigation.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

The robust correlation between the popularity of the 'pork and beans' meme and the consumption of jet fuel in Niue has certainly piqued our interest and tickled our research-driven sense of humor. Our findings not only echo the unanticipated connections explored in prior research but also add a whimsically porcine twist to the discourse. As we reflect on the unexpected alignment of these variables, it becomes clear that there's more to this swine-tale than meets the eye. It's as surprising as discovering a flying pig or a piggy bank with wings, and yet the statistical evidence resoundingly supports this unlikely correlation.

The strong correlation we unearthed is no mere porky pie; rather, it represents a captivating puzzle that invites both amusement and further investigation. It seems that the 'pork and beans' meme has truly taken flight, carving out a unique connection with Niue's jet fuel consumption that is both unexpected and statistically significant. It's a bit like finding a pig in a blanket, but instead, we've found the influence of porcine humor on a seemingly disparate economic variable. The quirky coherence of these two otherwise unrelated phenomena enhances our understanding of the unpredictable interplay between meme culture and real-world trends.

As we consider our findings in the context of prior research, it's clear that this study broadens the scope of meme influence into uncharted territories, much like a piglet exploring new frontiers. The 'pork and beans' meme, known for its playful take on everyday scenarios, has managed to carve out a niche in the realm of jet fuel consumption, suggesting a more nuanced relationship between online culture and economic factors. This poignant link prompts us to reconsider the role of humor in shaping unexpected societal dynamics and economic behaviors, much like a pig's snout rooting out hidden treasure.

In essence, our study presents a compelling fusion of statistics and delightful absurdity, highlighting the intricate web of connections that underlies the world we inhabit. This correlation, as whimsical as a pig wearing aviator goggles, not only challenges conventional wisdom but also illuminates the intricate interplay between humor, internet culture, and economic phenomena. It's a bit like discovering bacon-flavored jet fuel, a delightful surprise that challenges our expectations and spurs the pursuit of knowledge in unexpected ways.

As we continue to unravel the porcine enigma that underlies this correlation, we are reminded of the words of wisdom: "When pigs fly, anything is possible." Our study, with its peculiar blend of humor and empirical rigor, underscores the delightful and unexpected avenues that arise in the pursuit of knowledge. In the spirit of exploration and curiosity, we invite further investigation into the unlikely connections that abound in our ever-surprising world. After all, as every good dad and researcher knows, it's a boar's world out there, and we're just living in it.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 Popularity of the 'pork and beans' meme and Jet fuel used in Niue. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue"

[[ABSTRACT]]
This study delves into the quirky yet profound relationship between the popular internet meme 'pork and beans' and the consumption of jet fuel in the idyllic island nation of Niue. Utilizing data from Google Trends and the Energy Information Administration, we apply rigorous statistical analysis to unravel this enigmatic correlation. Our findings reveal a striking correlation coefficient of 0.8814673 and p < 0.01 during the period from 2006 to 2021, suggesting a peculiar link between the two seemingly unrelated phenomena. In essence, it seems that pigs may indeed have a "jet-setting" impact on the island community, much to the delight of our porcine pun enthusiasts.

[[INTRDUCTION]]
As the great Isaac Newton once said, "For every action, there is an equal and opposite reaction." In the context of our study, we could rephrase it as, "For every internet meme, there is a statistically significant connection to unexpected phenomena." So, what do pork and beans, internet culture, and jet fuel have in common? It may sound like the setup for a classic "dad joke," but the data suggests there’s more to this swine connection than meets the eye.
Speaking of dad jokes, did you hear about the restaurant on the moon? Great food, no atmosphere. Well, our research isn't about lunar cuisine, but it does involve a rather unexpected pairing akin to the cosmic joke of serving pork and beans next to the rocket fuel.
Many might approach the 'pork and beans' meme with mild amusement, hardly expecting it to lead to anything weighty or substantial. Similarly, jet fuel might seem like a topic best left to engineers and aviation enthusiasts, not researchers exploring the whimsical byways of internet culture and island economics. However, as the saying goes, "never judge a book by its cover," or in this case, a meme by its lightheartedness.
But wait, there's "meme-age" brewing! Our study dives into the surprising correlation between the prevalence of the 'pork and beans' meme and the consumption of jet fuel in Niue. While it may seem like a nonsensical connection at first glance, we assure you, the statistical pudding is in the eating.
Now, why did the statistician break up with the psychologist? Because they weren't getting their correlation coefficient! In all seriousness, the correlation we found was anything but a statistical joke. Using data from Google Trends and the Energy Information Administration, we meticulously scrutinized the fluctuations in meme popularity and jet fuel consumption over the past decade and a half.
Our findings may seem as unexpected as a vial of jet fuel in a pigsty, but the correlation coefficient of 0.8814673 and p < 0.01 from 2006 to 2021 is no fluke. It appears that a relationship, as bizarre as it may sound, does indeed exist.
With these findings, we are not suggesting that memes have somehow diversified into swine aviation or that pigs are secretly fueling the island's planes. We do, however, highlight the significance of discerning patterns in seemingly unrelated data, even if they prompt a laugh or two along the way. So, fasten your seatbelts and prepare for a flight of statistical fancy as we delve into the peculiar pigging out of data in our porcine pursuit of knowledge.

[[RESULTS]]
The analysis of the data collected from Google Trends and the Energy Information Administration yielded a robust correlation coefficient of 0.8814673, with an r-squared value of 0.7769846 and a remarkable p-value of less than 0.01. These robust statistical indicators strongly support a significant relationship between the popularity of the 'pork and beans' meme and the consumption of jet fuel in Niue during the time period from 2006 to 2021.
It seems that the 'pork and beans' meme indeed had the ability to "jet" its way into another realm altogether, as the data illuminates an unexpected connection with the island nation's jet fuel consumption. This correlation is as surprising as a pig learning to fly, and yet the statistical evidence cannot be ignored. It appears that the appeal of the meme and the island's jet fuel usage have been moving in uncanny synchrony, akin to a pair of synchronized swimmers performing an unexpected, but enthralling routine.
Our analysis culminates in a striking scatterplot (Fig. 1), which visually encapsulates the strong positive correlation between the two variables. If a picture is worth a thousand words, then this scatterplot certainly paints an amusing and intriguing story of porcine influence on jet fuel consumption. The correlation depicted in the scatterplot is as clear as a bacon strip on a sunny morning and is likely to raise some eyebrows, much like a pig auditioning for an aviation role.
In conclusion, our findings uncover a correlation that is as unexpected as finding bacon bits in a jet engine. The 'pork and beans' meme appears to be leaving a conspicuous mark on the island's jet fuel consumption, creating a porcine puzzle that tickles our research-driven sense of humor. While we may not have expected a meme to piggyback its way into the world of energy consumption, the data unmistakably points to a captivating relationship that invites both amusement and further investigation.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unearthed a swine-sational correlation between the popularity of the 'pork and beans' meme and the consumption of jet fuel in Niue. It seems that these seemingly unrelated phenomena have been flying in formation like a flock of jet-propelled pigs. Our findings are as surprising as a pig who's taken up skydiving – unexpected, yet undeniably fascinating.

Our study sheds light on a connection as unexpected as finding a piggy bank filled with aviation fuel. It appears that the 'pork and beans' meme is not just a jest, but a prime mover in the island's energy patterns, showing that the pig's influence may extend further than we ever imagined. This correlation is as inexplicable as finding a jet engine in a barnyard, and yet the statistical evidence stands tall like a pig on stilts.

But let's not hog the spotlight for too long – it's safe to say that no more research is needed in this area. We've delved deep into the porcine data pool and come out with findings that are as clear as a pig in a polka-dotted pen. So, until the next unexpected correlation comes flying by, this one has definitely taken off.


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 Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Pseudoscience and Bacon 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 Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue. Respond only with the name of a fictional organization.

ChatGPT:

The Association for Interspecies Information Exchange


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 Pigging Out on Data: Exploring the Swine Connection Between the 'Pork and Beans' Meme and Jet Fuel Consumption in Niue with an abstract of This study delves into the quirky yet profound relationship between the popular internet meme 'pork and beans' and the consumption of jet fuel in the idyllic island nation of Niue. Utilizing data from Google Trends and the Energy Information Administration, we apply rigorous statistical analysis to unravel this enigmatic correlation. Our findings reveal a striking correlation coefficient of 0.8814673 and p < 0.01 during the period from 2006 to 2021, suggesting a peculiar link between the two seemingly unrelated phenomena. In essence, it seems that pigs may indeed have a "jet-setting" impact on the island community, much to the delight of our porcine pun enthusiasts.

ChatGPT:

"Pork and Beans" meme, jet fuel consumption, Niue, internet meme correlation, Google Trends data, Energy Information Administration data, statistical analysis, correlation coefficient, pigs impact on island community

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



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Data details

Popularity of the 'pork and beans' meme
Detailed data title: Relative volume of Google searches for 'pork and beans' (without quotes, in the United States)
Source: Google Trends
Additional Info: Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.

See what else correlates with Popularity of the 'pork and beans' meme

Jet fuel used in Niue
Detailed data title: Volume of jet fuel used consumed in Niue in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Jet fuel used in Niue

Correlation r = 0.8814673 (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 = 0.7769846 (Coefficient of determination)
This means 77.7% of the change in the one variable (i.e., Jet fuel used in Niue) is predictable based on the change in the other (i.e., Popularity of the 'pork and beans' meme) over the 16 years from 2006 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.41E-6. 0.0000064085282685790380000000
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 0.88 in 0.000641% of random cases. Said differently, if you correlated 156,042 random variables You don't actually need 156 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 15 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 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.

[ 0.69, 0.96 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2006200720082009201020112012201320142015201620172018201920202021
Popularity of the 'pork and beans' meme (Relative popularity)2.083332.530.333310.91677.757.576.833336.916677.083337.58.0833387.833338.916677.83333
Jet fuel used in Niue (Million Barrels/Day)0.008672810.009570010.01791230.00949640.007448930.009863670.009611540.01046050.01087290.0108410.011050.01042850.01108030.0108630.01033230.0106668




Why this works

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




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([2.08333,2.5,30.3333,10.9167,7.75,7.5,7,6.83333,6.91667,7.08333,7.5,8.08333,8,7.83333,8.91667,7.83333,])
array_2 = np.array([0.00867281,0.00957001,0.0179123,0.0094964,0.00744893,0.00986367,0.00961154,0.0104605,0.0108729,0.010841,0.01105,0.0104285,0.0110803,0.010863,0.0103323,0.0106668,])
array_1_name = "Popularity of the 'pork and beans' meme"
array_2_name = "Jet fuel used in Niue"

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

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



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

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Correlation ID: 4870 · Black Variable ID: 25099 · Red Variable ID: 24769
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