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Spurious correlation #2,714 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Fossil fuel use in Brazil and the second variable is Patents granted in the US.  The chart goes from 1980 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As Brazil revved up the fossil fuel usage, the carbon emissions wafted all the way to the US, sparking unparalleled levels of creativity and innovation. It's like the fumes fueled the inventors' imaginations, leading to a patent frenzy. Or maybe there's a secret connection between the smell of gasoline and brilliant ideas - either way, it seems like Brazil was inadvertently pumping out inspiration along with the greenhouse gases!

Model: dalle-3
Prompt: [ Steampunk ] In a bustling street in Brazil, a line of wildly eccentric contraptions, powered by the remnants of dinosaur bones, rumbles through a crowd of fascinated onlookers. Meanwhile, in the US, a flurry of excited inventors eagerly submit patent applications for their own fuel-guzzling gadgets, inspired by the ingenious and eccentric creations from Brazil. 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: Fossil fuel use in Brazil and Patents granted in the US. 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: Oragami An image that looks like it is a scene from 'Star Wars' Macabre Whimsical illustration Steampunk
ChatGPT: Steampunk

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 Fossil fuel use in Brazil and Patents granted in the US, in the following situation: Because the increase in fossil fuel use in Brazil led to a surge in Brazilian inventors creating wacky contraptions powered by dinosaur bones. These inventions were so outlandish that they sparked a frenzy of patent applications in the US as everyone raced to protect themselves from potential legal battles over the absurd, fuel-guzzling gadgets.. Keep the description simple.
ChatGPT: In Brazil, a line of quirky contraptions powered by dinosaur bones rumbles down a bustling street. Meanwhile, in the US, a flurry of inventors excitedly submit patent applications for their own fuel-guzzling gadgets, inspired by the wild inventions from Brazil.

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: [ Steampunk ] and depicting this scene: In Brazil, a line of quirky contraptions powered by dinosaur bones rumbles down a bustling street. Meanwhile, in the US, a flurry of inventors excitedly submit patent applications for their own fuel-guzzling gadgets, inspired by the wild inventions from Brazil. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ Steampunk ] In a bustling street in Brazil, a line of wildly eccentric contraptions, powered by the remnants of dinosaur bones, rumbles through a crowd of fascinated onlookers. Meanwhile, in the US, a flurry of excited inventors eagerly submit patent applications for their own fuel-guzzling gadgets, inspired by the ingenious and eccentric creations from Brazil.

*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 Fossil fuel use in Brazil caused Patents granted in the US to increase.

AI academic paper

(Because p < 0.01)
Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US

The Journal of Innovations in Energy and Culinary Sciences

Jan 2024

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




Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Fossil fuel use in Brazil and Patents granted in the US. Make lots of jokes, goofy observations, and puns.

Include a pun in the title.

Your research team used data from Energy Information Administration and USPTO to assess this nagging question. You found a correlation coefficient of 0.9234045 and p < 0.01 for 1980 to 2020.

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]]
Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US

[[ABSTRACT]]
This paper explores the unexpected relationship between fossil fuel consumption in Brazil and the number of patents granted in the United States, delving into the intertwined mechanisms that seem to fuel both innovation and combustion. Using data from the Energy Information Administration and the US Patent and Trademark Office, we uncover a correlation coefficient of 0.9234045 and p < 0.01 for the period spanning 1980 to 2020, suggesting a striking link between the two seemingly unrelated phenomena. Our findings are sure to ignite vigorous discussions and spark new perspectives on the nature of invention and the global energy landscape.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Fossil fuel use in Brazil and Patents granted in the US. Make lots of jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US

[[ABSTRACT]]
This paper explores the unexpected relationship between fossil fuel consumption in Brazil and the number of patents granted in the United States, delving into the intertwined mechanisms that seem to fuel both innovation and combustion. Using data from the Energy Information Administration and the US Patent and Trademark Office, we uncover a correlation coefficient of 0.9234045 and p < 0.01 for the period spanning 1980 to 2020, suggesting a striking link between the two seemingly unrelated phenomena. Our findings are sure to ignite vigorous discussions and spark new perspectives on the nature of invention and the global energy landscape.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intersection of fossil fuel use and patent grants may seem like an odd pairing, akin to mixing oil and water – something that just shouldn't go together. However, as we dive deeper into the data, we uncover a surprising connection that's as puzzling as it is intriguing. It's like discovering that peanut butter and jelly actually have a secret handshake and a shared favorite TV show.

In this paper, we embark on a journey to unravel the enigmatic relationship between Brazil's fossil fuel consumption and the number of patents granted in the land of the stars and stripes. We are essentially exploring the energetic dance between innovation and combustion, demonstrating that in the realm of global affairs, strange bedfellows are not confined to politics and celebrity friendships.

Our investigation takes us on a joyride through the labyrinth of data provided by the Energy Information Administration and the US Patent and Trademark Office. We unearth correlations that would make even the most seasoned statistician raise an eyebrow – or two. With a correlation coefficient of 0.9234045 and a p-value less than 0.01, we have stumbled upon a connection that is as statistically significant as it is fascinating. It's like finding out that the number of patents granted in the US is as closely related to Brazil's fossil fuel use as salt is to pepper – a well-seasoned relationship indeed.

As we present our findings, we anticipate that our revelation will spark lively conversations and debates that are sure to be hotter than a sizzling barbecue. We hope to ignite new perspectives on the nature of invention and the complex interplay between energy dynamics and innovation. So, buckle up and prepare to be entertained and enlightened as we unravel the gas-tronomical connection between fossil fuel use and patent grants.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Fossil fuel use in Brazil and Patents granted in the US. Make lots of 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 a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US

[[ABSTRACT]]
This paper explores the unexpected relationship between fossil fuel consumption in Brazil and the number of patents granted in the United States, delving into the intertwined mechanisms that seem to fuel both innovation and combustion. Using data from the Energy Information Administration and the US Patent and Trademark Office, we uncover a correlation coefficient of 0.9234045 and p < 0.01 for the period spanning 1980 to 2020, suggesting a striking link between the two seemingly unrelated phenomena. Our findings are sure to ignite vigorous discussions and spark new perspectives on the nature of invention and the global energy landscape.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of fossil fuel use and patent grants may seem like an odd pairing, akin to mixing oil and water – something that just shouldn't go together. However, as we dive deeper into the data, we uncover a surprising connection that's as puzzling as it is intriguing. It's like discovering that peanut butter and jelly actually have a secret handshake and a shared favorite TV show.
In this paper, we embark on a journey to unravel the enigmatic relationship between Brazil's fossil fuel consumption and the number of patents granted in the land of the stars and stripes. We are essentially exploring the energetic dance between innovation and combustion, demonstrating that in the realm of global affairs, strange bedfellows are not confined to politics and celebrity friendships.
Our investigation takes us on a joyride through the labyrinth of data provided by the Energy Information Administration and the US Patent and Trademark Office. We unearth correlations that would make even the most seasoned statistician raise an eyebrow – or two. With a correlation coefficient of 0.9234045 and a p-value less than 0.01, we have stumbled upon a connection that is as statistically significant as it is fascinating. It's like finding out that the number of patents granted in the US is as closely related to Brazil's fossil fuel use as salt is to pepper – a well-seasoned relationship indeed.
As we present our findings, we anticipate that our revelation will spark lively conversations and debates that are sure to be hotter than a sizzling barbecue. We hope to ignite new perspectives on the nature of invention and the complex interplay between energy dynamics and innovation. So, buckle up and prepare to be entertained and enlightened as we unravel the gas-tronomical connection between fossil fuel use and patent grants.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Previous research on the correlation between fossil fuel use and patent grants has paved the way for our investigation into the unexpected connection between Brazil's fossil fuel consumption and the number of patents granted in the United States. Smith et al. (2015) explored the global impact of energy consumption on innovation, shedding light on the intricate relationship between energy dynamics and technological advancement. Similarly, Doe and Jones (2018) delved into the role of fossil fuels in shaping patent activity, offering valuable insights into the mechanisms driving inventive activity in energy-intensive economies.

Moving beyond the traditional confines of academic literature, we draw inspiration from a diverse array of sources that have enriched our understanding of the interplay between fossil fuel use and technological innovation. In "The Power to Invent: Energy and Creativity in the Modern Age" by Dr. Eureka Brightmind, we are presented with a thought-provoking exploration of the creative potential unleashed by harnessing the energy resources of the natural world. Brightmind's work challenges us to rethink the conventional boundaries between energy and invention, much like our study seeks to challenge preconceived notions of the relationship between fossil fuel use in Brazil and patent grants in the US.

a departure from the norm, we also find compelling insights in works of fiction that seem to echo the themes of our study. In Jules Verne's "Journey to the Center of the Earth," the protagonists embark on a thrilling expedition that parallels our own quest to unearth the hidden connections between energy and innovation. Furthermore, Michael Crichton's "State of Fear" presents a gripping narrative that intertwines geopolitical dynamics with energy interests, underscoring the intricate web of relationships that shape our modern industrial landscape.

Our pursuit of understanding has led us to unexpected sources of inspiration, including popular culture that offers subtle clues into the relationship between energy dynamics and inventive activity. The television series "Breaking Bad" serves as a captivating exploration of the transformative power of chemistry, offering a glimpse into the realm of innovation that arises from the combustion of raw materials. Additionally, "The Office" provides comedic relief as we grapple with the serious implications of our findings, reminding us that even the most mundane settings can spark moments of creative brilliance.

As we navigate through this labyrinth of literature and popular culture, we are reminded that the pursuit of knowledge is often a journey filled with unexpected twists and turns. The unconventional nature of our investigation mirrors the playful unpredictability of discovery, where serious inquiry and lighthearted exploration converge to reveal the fascinating complexities of our world. In the next section, we delve into the empirical findings that illuminate the remarkable gas-tronomical connection between fossil fuel use in Brazil and patents granted in the US.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Fossil fuel use in Brazil and Patents granted in the US. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and USPTO . You used data from 1980 to 2020

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]]
Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US

[[ABSTRACT]]
This paper explores the unexpected relationship between fossil fuel consumption in Brazil and the number of patents granted in the United States, delving into the intertwined mechanisms that seem to fuel both innovation and combustion. Using data from the Energy Information Administration and the US Patent and Trademark Office, we uncover a correlation coefficient of 0.9234045 and p < 0.01 for the period spanning 1980 to 2020, suggesting a striking link between the two seemingly unrelated phenomena. Our findings are sure to ignite vigorous discussions and spark new perspectives on the nature of invention and the global energy landscape.

[[INTRODUCTION]]
The intersection of fossil fuel use and patent grants may seem like an odd pairing, akin to mixing oil and water – something that just shouldn't go together. However, as we dive deeper into the data, we uncover a surprising connection that's as puzzling as it is intriguing. It's like discovering that peanut butter and jelly actually have a secret handshake and a shared favorite TV show.
In this paper, we embark on a journey to unravel the enigmatic relationship between Brazil's fossil fuel consumption and the number of patents granted in the land of the stars and stripes. We are essentially exploring the energetic dance between innovation and combustion, demonstrating that in the realm of global affairs, strange bedfellows are not confined to politics and celebrity friendships.
Our investigation takes us on a joyride through the labyrinth of data provided by the Energy Information Administration and the US Patent and Trademark Office. We unearth correlations that would make even the most seasoned statistician raise an eyebrow – or two. With a correlation coefficient of 0.9234045 and a p-value less than 0.01, we have stumbled upon a connection that is as statistically significant as it is fascinating. It's like finding out that the number of patents granted in the US is as closely related to Brazil's fossil fuel use as salt is to pepper – a well-seasoned relationship indeed.
As we present our findings, we anticipate that our revelation will spark lively conversations and debates that are sure to be hotter than a sizzling barbecue. We hope to ignite new perspectives on the nature of invention and the complex interplay between energy dynamics and innovation. So, buckle up and prepare to be entertained and enlightened as we unravel the gas-tronomical connection between fossil fuel use and patent grants.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To explore the perplexing relationship between fossil fuel use in Brazil and the number of patents granted in the United States, we embarked on a data-gathering odyssey that would make even Odysseus envious. Our research team scoured the vast expanse of the internet, weaving through virtual labyrinthine corridors and channels akin to Theseus navigating the intricate maze of the Minotaur. The primary sources of our data were the esteemed Energy Information Administration and the illustrious United States Patent and Trademark Office, akin to Hercules consulting the Oracle of Delphi.

The data collection journey itself resembled a grand expedition, involving sifting through an immense trove of information spanning from the year 1980 to 2020, a time period not dissimilar to the changing of the tides. Navigating through the ever-shifting currents of digital information, we meticulously gathered and organized datasets that would rival the intricacies of an ancient mosaic, piecing together the puzzle of fossil fuel consumption in Brazil and patent grants in the US.

Our team of intrepid researchers employed a variety of statistical techniques to wrangle and analyze the copious amounts of data. From the perils of data preprocessing and cleaning to the complexities of regression analysis and correlation computations, we traversed a landscape that would give even the most seasoned explorer pause.

To quantify the association between fossil fuel use in Brazil and the number of patents granted in the US, we conducted a Pearson correlation analysis that would have made Sherlock Holmes proud. The statistical measures employed were as rigorous as a cross-examination in a courtroom drama, ensuring that the relationship uncovered was not merely a serendipitous finding but a robust, statistically significant connection.

The culmination of our methodology was not unlike the exhilaration of reaching the summit of a challenging mountain, as we arrived at a correlation coefficient of 0.9234045 and a p-value less than 0.01. These findings were comparable to unearthing buried treasure amidst the vast expanse of data, affirming the robustness of the gas-tronomical connection we had set out to elucidate.

In summary, our methodology encompassed a heroic journey through the annals of data collection, wrangling, and statistical analyses, ultimately yielding insights worthy of stirring the intellectual and scholarly appetites of even the most discerning academic voyager.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Fossil fuel use in Brazil and Patents granted in the US. Make lots of jokes, goofy observations, and puns.

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

For the time period 1980 to 2020, you found a correlation 0.9234045, r-squared of 0.8526759, 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]]
Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US

[[ABSTRACT]]
This paper explores the unexpected relationship between fossil fuel consumption in Brazil and the number of patents granted in the United States, delving into the intertwined mechanisms that seem to fuel both innovation and combustion. Using data from the Energy Information Administration and the US Patent and Trademark Office, we uncover a correlation coefficient of 0.9234045 and p < 0.01 for the period spanning 1980 to 2020, suggesting a striking link between the two seemingly unrelated phenomena. Our findings are sure to ignite vigorous discussions and spark new perspectives on the nature of invention and the global energy landscape.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of fossil fuel use and patent grants may seem like an odd pairing, akin to mixing oil and water – something that just shouldn't go together. However, as we dive deeper into the data, we uncover a surprising connection that's as puzzling as it is intriguing. It's like discovering that peanut butter and jelly actually have a secret handshake and a shared favorite TV show.
In this paper, we embark on a journey to unravel the enigmatic relationship between Brazil's fossil fuel consumption and the number of patents granted in the land of the stars and stripes. We are essentially exploring the energetic dance between innovation and combustion, demonstrating that in the realm of global affairs, strange bedfellows are not confined to politics and celebrity friendships.
Our investigation takes us on a joyride through the labyrinth of data provided by the Energy Information Administration and the US Patent and Trademark Office. We unearth correlations that would make even the most seasoned statistician raise an eyebrow – or two. With a correlation coefficient of 0.9234045 and a p-value less than 0.01, we have stumbled upon a connection that is as statistically significant as it is fascinating. It's like finding out that the number of patents granted in the US is as closely related to Brazil's fossil fuel use as salt is to pepper – a well-seasoned relationship indeed.
As we present our findings, we anticipate that our revelation will spark lively conversations and debates that are sure to be hotter than a sizzling barbecue. We hope to ignite new perspectives on the nature of invention and the complex interplay between energy dynamics and innovation. So, buckle up and prepare to be entertained and enlightened as we unravel the gas-tronomical connection between fossil fuel use and patent grants.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our investigation have uncorked a striking correlation between fossil fuel use in Brazil and the number of patents granted in the United States. It's as if these seemingly unrelated variables have been engaged in a covert dance, inspiring a newfound appreciation for the interplay between energy dynamics and innovation. With a correlation coefficient of 0.9234045 and an r-squared of 0.8526759, our findings paint a picture of a relationship that's stronger than the bond between coffee and productivity.

Our analysis, akin to a captivating tango, reveals a remarkable connection that is as unexpected as finding a hidden treasure map in a library book. This robust correlation suggests that there is more to the global energy landscape than meets the eye, as if fossil fuel use and inventive pursuits share a captivating secret that's just been unveiled. It's like discovering that two long-lost lovers have been sending each other smoke signals across continents and centuries.

For visual connoisseurs, Fig. 1 presents a scatterplot that captures the essence of this remarkable relationship. One glance at this plot, and it's evident that the bond between fossil fuel use in Brazil and patents granted in the US is as firm as a handshake between old friends.

The implications of our findings are bound to spark heated discussions, much like the crackling of a bonfire. We anticipate that our revelation will fuel fresh perspectives on the nature of invention and spur further explorations into the energetic interplay between fossil fuel consumption and innovation. This newfound understanding of the seemingly combustible connection between these variables is sure to light a fire under the discourse within both the energy industry and the world of invention.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Fossil fuel use in Brazil and Patents granted in the US. Make lots of jokes, goofy observations, and puns.

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]]
Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US

[[ABSTRACT]]
This paper explores the unexpected relationship between fossil fuel consumption in Brazil and the number of patents granted in the United States, delving into the intertwined mechanisms that seem to fuel both innovation and combustion. Using data from the Energy Information Administration and the US Patent and Trademark Office, we uncover a correlation coefficient of 0.9234045 and p < 0.01 for the period spanning 1980 to 2020, suggesting a striking link between the two seemingly unrelated phenomena. Our findings are sure to ignite vigorous discussions and spark new perspectives on the nature of invention and the global energy landscape.

[[LITERATURE REVIEW]]
Previous research on the correlation between fossil fuel use and patent grants has paved the way for our investigation into the unexpected connection between Brazil's fossil fuel consumption and the number of patents granted in the United States. Smith et al. (2015) explored the global impact of energy consumption on innovation, shedding light on the intricate relationship between energy dynamics and technological advancement. Similarly, Doe and Jones (2018) delved into the role of fossil fuels in shaping patent activity, offering valuable insights into the mechanisms driving inventive activity in energy-intensive economies.
Moving beyond the traditional confines of academic literature, we draw inspiration from a diverse array of sources that have enriched our understanding of the interplay between fossil fuel use and technological innovation. In "The Power to Invent: Energy and Creativity in the Modern Age" by Dr. Eureka Brightmind, we are presented with a thought-provoking exploration of the creative potential unleashed by harnessing the energy resources of the natural world. Brightmind's work challenges us to rethink the conventional boundaries between energy and invention, much like our study seeks to challenge preconceived notions of the relationship between fossil fuel use in Brazil and patent grants in the US.
a departure from the norm, we also find compelling insights in works of fiction that seem to echo the themes of our study. In Jules Verne's "Journey to the Center of the Earth," the protagonists embark on a thrilling expedition that parallels our own quest to unearth the hidden connections between energy and innovation. Furthermore, Michael Crichton's "State of Fear" presents a gripping narrative that intertwines geopolitical dynamics with energy interests, underscoring the intricate web of relationships that shape our modern industrial landscape.
Our pursuit of understanding has led us to unexpected sources of inspiration, including popular culture that offers subtle clues into the relationship between energy dynamics and inventive activity. The television series "Breaking Bad" serves as a captivating exploration of the transformative power of chemistry, offering a glimpse into the realm of innovation that arises from the combustion of raw materials. Additionally, "The Office" provides comedic relief as we grapple with the serious implications of our findings, reminding us that even the most mundane settings can spark moments of creative brilliance.
As we navigate through this labyrinth of literature and popular culture, we are reminded that the pursuit of knowledge is often a journey filled with unexpected twists and turns. The unconventional nature of our investigation mirrors the playful unpredictability of discovery, where serious inquiry and lighthearted exploration converge to reveal the fascinating complexities of our world. In the next section, we delve into the empirical findings that illuminate the remarkable gas-tronomical connection between fossil fuel use in Brazil and patents granted in the US.

[[RESULTS]]
The results of our investigation have uncorked a striking correlation between fossil fuel use in Brazil and the number of patents granted in the United States. It's as if these seemingly unrelated variables have been engaged in a covert dance, inspiring a newfound appreciation for the interplay between energy dynamics and innovation. With a correlation coefficient of 0.9234045 and an r-squared of 0.8526759, our findings paint a picture of a relationship that's stronger than the bond between coffee and productivity.
Our analysis, akin to a captivating tango, reveals a remarkable connection that is as unexpected as finding a hidden treasure map in a library book. This robust correlation suggests that there is more to the global energy landscape than meets the eye, as if fossil fuel use and inventive pursuits share a captivating secret that's just been unveiled. It's like discovering that two long-lost lovers have been sending each other smoke signals across continents and centuries.
For visual connoisseurs, Fig. 1 presents a scatterplot that captures the essence of this remarkable relationship. One glance at this plot, and it's evident that the bond between fossil fuel use in Brazil and patents granted in the US is as firm as a handshake between old friends.
The implications of our findings are bound to spark heated discussions, much like the crackling of a bonfire. We anticipate that our revelation will fuel fresh perspectives on the nature of invention and spur further explorations into the energetic interplay between fossil fuel consumption and innovation. This newfound understanding of the seemingly combustible connection between these variables is sure to light a fire under the discourse within both the energy industry and the world of invention.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our investigation has unearthed a most intriguing relationship between fossil fuel use in Brazil and the number of patents granted in the United States, unveiling a hidden connection that's as captivating as a plot twist in a telenovela. Our findings not only align with prior research but also shed light on the fiery dynamics that seem to fuel both innovation and energy consumption.

The correlation coefficient of 0.9234045 and p < 0.01 not only holds statistical significance but also symbolizes a union as strong as peanut butter and jelly. This robust correlation supports the pioneering work of Smith et al. (2015) and Doe and Jones (2018), as it underscores the profound influence of energy dynamics on inventive activity. It's as if fossil fuel use and inventive pursuits have been engaging in a waltz across continents, trading steps and twirls in a harmonious exchange.

Even the less conventional sources of inspiration that we drew from in our literature review seem to resonate with our empirical findings, as if Jules Verne's characters were sipping caipirinhas in Brazil while unknowingly patenting their groundbreaking inventions in the US. The unexpected themes explored in "The Power to Invent: Energy and Creativity in the Modern Age" by Dr. Eureka Brightmind seem to have foreshadowed our own gas-tronomical discovery, offering subtle hints at the extraordinary relationship between energy utilization and technological innovation.

Our results not only confirm the existence of a gas-tronomical connection between these seemingly disparate phenomena but also enrich our understanding of the intricate dance that unfolds between fossil fuel use in Brazil and the inventive spirit that flourishes in the US. This unexpected correlation is a testament to the remarkably intertwined nature of our modern industrial landscape, where energy dynamics and inventive activity coalesce in ways that continue to both surprise and inspire.

With our findings, we hope to fan the flames of discourse within both the energy industry and the world of invention, igniting fresh perspectives and robust debates that sizzle with the excitement of a barbecue in summertime. This newfound understanding of the gas-tronomical connection between fossil fuel consumption and innovation is a testament to the vibrant tapestry of relationships that shape our global energy landscape and the inventive endeavors that propel us into the future.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Fossil fuel use in Brazil and Patents granted in the US. Make lots of jokes, goofy observations, and puns.

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]]
Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US

[[ABSTRACT]]
This paper explores the unexpected relationship between fossil fuel consumption in Brazil and the number of patents granted in the United States, delving into the intertwined mechanisms that seem to fuel both innovation and combustion. Using data from the Energy Information Administration and the US Patent and Trademark Office, we uncover a correlation coefficient of 0.9234045 and p < 0.01 for the period spanning 1980 to 2020, suggesting a striking link between the two seemingly unrelated phenomena. Our findings are sure to ignite vigorous discussions and spark new perspectives on the nature of invention and the global energy landscape.

[[INTRDUCTION]]
The intersection of fossil fuel use and patent grants may seem like an odd pairing, akin to mixing oil and water – something that just shouldn't go together. However, as we dive deeper into the data, we uncover a surprising connection that's as puzzling as it is intriguing. It's like discovering that peanut butter and jelly actually have a secret handshake and a shared favorite TV show.
In this paper, we embark on a journey to unravel the enigmatic relationship between Brazil's fossil fuel consumption and the number of patents granted in the land of the stars and stripes. We are essentially exploring the energetic dance between innovation and combustion, demonstrating that in the realm of global affairs, strange bedfellows are not confined to politics and celebrity friendships.
Our investigation takes us on a joyride through the labyrinth of data provided by the Energy Information Administration and the US Patent and Trademark Office. We unearth correlations that would make even the most seasoned statistician raise an eyebrow – or two. With a correlation coefficient of 0.9234045 and a p-value less than 0.01, we have stumbled upon a connection that is as statistically significant as it is fascinating. It's like finding out that the number of patents granted in the US is as closely related to Brazil's fossil fuel use as salt is to pepper – a well-seasoned relationship indeed.
As we present our findings, we anticipate that our revelation will spark lively conversations and debates that are sure to be hotter than a sizzling barbecue. We hope to ignite new perspectives on the nature of invention and the complex interplay between energy dynamics and innovation. So, buckle up and prepare to be entertained and enlightened as we unravel the gas-tronomical connection between fossil fuel use and patent grants.

[[RESULTS]]
The results of our investigation have uncorked a striking correlation between fossil fuel use in Brazil and the number of patents granted in the United States. It's as if these seemingly unrelated variables have been engaged in a covert dance, inspiring a newfound appreciation for the interplay between energy dynamics and innovation. With a correlation coefficient of 0.9234045 and an r-squared of 0.8526759, our findings paint a picture of a relationship that's stronger than the bond between coffee and productivity.
Our analysis, akin to a captivating tango, reveals a remarkable connection that is as unexpected as finding a hidden treasure map in a library book. This robust correlation suggests that there is more to the global energy landscape than meets the eye, as if fossil fuel use and inventive pursuits share a captivating secret that's just been unveiled. It's like discovering that two long-lost lovers have been sending each other smoke signals across continents and centuries.
For visual connoisseurs, Fig. 1 presents a scatterplot that captures the essence of this remarkable relationship. One glance at this plot, and it's evident that the bond between fossil fuel use in Brazil and patents granted in the US is as firm as a handshake between old friends.
The implications of our findings are bound to spark heated discussions, much like the crackling of a bonfire. We anticipate that our revelation will fuel fresh perspectives on the nature of invention and spur further explorations into the energetic interplay between fossil fuel consumption and innovation. This newfound understanding of the seemingly combustible connection between these variables is sure to light a fire under the discourse within both the energy industry and the world of invention.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our findings have ignited a spark in the realms of energy dynamics and innovation, revealing a connection between fossil fuel use in Brazil and patents granted in the United States that's as fiery as a jalapeno popsicle. The robust correlation coefficient of 0.9234045 has shed light on an unexpected relationship, akin to discovering that peanut butter and chocolate actually have a secret handshake.

Our investigation has peeled back the layers of this perplexing association, akin to unraveling a mummy's riddle, and presented a picture that's as clear as day – or as clear as a crystal ball in a fortune teller's tent. The implications of our discoveries are sure to fuel lively debates and discussions, much like adding hot sauce to a mild dish.

With our results in hand, it seems that no more research is needed in this area. We've shed a light on this gas-tronomical connection, and it's safe to say that we've gaslit the torch to a new understanding of the intertwined mechanisms that fuel both innovation and combustion.


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 Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Innovations in Energy and Culinary Sciences


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 Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Transcontinental Energy and Innovation Studies


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 Fueling Invention: Uncovering the Gas-tronomical Connection Between Fossil Fuel Use in Brazil and Patents Granted in the US with an abstract of This paper explores the unexpected relationship between fossil fuel consumption in Brazil and the number of patents granted in the United States, delving into the intertwined mechanisms that seem to fuel both innovation and combustion. Using data from the Energy Information Administration and the US Patent and Trademark Office, we uncover a correlation coefficient of 0.9234045 and p < 0.01 for the period spanning 1980 to 2020, suggesting a striking link between the two seemingly unrelated phenomena. Our findings are sure to ignite vigorous discussions and spark new perspectives on the nature of invention and the global energy landscape.

ChatGPT:

fossil fuel consumption Brazil, patents granted US, correlation between fossil fuel and patents, Energy Information Administration data, US Patent and Trademark Office data, innovation and fossil fuels, combustion and innovation, global energy landscape, correlation coefficient, invention and fossil fuels

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



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Data details

Fossil fuel use in Brazil
Detailed data title: Total fossil fuel use in Brazil in billion kWh
Source: Energy Information Administration
See what else correlates with Fossil fuel use in Brazil

Patents granted in the US
Detailed data title: Total number of patents granted in the US
Source: USPTO
See what else correlates with Patents granted in the US

Correlation r = 0.9234045 (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 = 0.8526759 (Coefficient of determination)
This means 85.3% of the change in the one variable (i.e., Patents granted in the US) is predictable based on the change in the other (i.e., Fossil fuel use in Brazil) over the 41 years from 1980 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.3E-18. 0.0000000000000000082748056689
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 0.92 in 8.3E-16% of random cases. Said differently, if you correlated 120,848,759,477,022,688 random variables You don't actually need 120 quadrillion 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 40 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 40 because we have two variables measured over a period of 41 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.

[ 0.86, 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.
19801981198219831984198519861987198819891990199119921993199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020
Fossil fuel use in Brazil (Billion kWh)7.9438.71857.965567.217327.39788.1140815.224212.15710.940710.81569.5165610.46511.168111.163411.177512.843215.482717.699318.620527.473428.428434.687932.946130.980539.455638.758138.664136.591454.953335.523560.045349.133875.8336110.298134.657126.93890.863599.586384.447488.686978.967
Patents granted in the US (Patents granted)66170710646327661982726507724576862893858427210253399077106696107394109746113587113834121696124069163142169085175979183970184375187012181299157718196405182899185224191927244341247713276788302948326032325980333583351403339992391103388900




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([7.943,8.7185,7.96556,7.21732,7.3978,8.11408,15.2242,12.157,10.9407,10.8156,9.51656,10.465,11.1681,11.1634,11.1775,12.8432,15.4827,17.6993,18.6205,27.4734,28.4284,34.6879,32.9461,30.9805,39.4556,38.7581,38.6641,36.5914,54.9533,35.5235,60.0453,49.1338,75.8336,110.298,134.657,126.938,90.8635,99.5863,84.4474,88.6869,78.967,])
array_2 = np.array([66170,71064,63276,61982,72650,77245,76862,89385,84272,102533,99077,106696,107394,109746,113587,113834,121696,124069,163142,169085,175979,183970,184375,187012,181299,157718,196405,182899,185224,191927,244341,247713,276788,302948,326032,325980,333583,351403,339992,391103,388900,])
array_1_name = "Fossil fuel use in Brazil"
array_2_name = "Patents granted in the US"

# 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: 2714 · Black Variable ID: 23537 · Red Variable ID: 848
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