Download png, svg
AI explanation
With fewer car thefts in Michigan, there was a reduced demand for getaway vehicles. This led to a surplus of kerosene in Norway, as it was no longer needed for torching stolen cars.
Model: dalle-3
Prompt: Image Generation Prompt: Style: A vintage-style black-and-white newspaper illustration. Scene: A serene neighborhood in Michigan with suburban houses and tree-lined streets. In the foreground, a car is shown parked in a driveway, but it is noticeably empty - the silhouette of the stolen car hinting at the sudden disappearance. In the background, a rural area in Norway is depicted with a quaint cabin nestled among snow-covered trees. A family is shown through the cabin's windows, warmly lit by the soft glow of kerosene lamps, conveying the coziness of their winter refuge. 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: Motor vehicle thefts in Michigan and Kerosene used in Norway. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: A black-and-white newspaper illustration Sci-fi fantacy Charcoal a Polaroid photo Pop art
ChatGPT: A black-and-white newspaper illustration
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 Motor vehicle thefts in Michigan and Kerosene used in Norway together. Keep the description simple.
ChatGPT: In a quiet neighborhood in Michigan, a car parked in a driveway has been stolen, while in a rural area of Norway, a family uses kerosene to light their cozy cabin during the long winter nights.
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: [ A black-and-white newspaper illustration ] and depicting this scene: In a quiet neighborhood in Michigan, a car parked in a driveway has been stolen, while in a rural area of Norway, a family uses kerosene to light their cozy cabin during the long winter nights. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Image Generation Prompt: Style: A vintage-style black-and-white newspaper illustration. Scene: A serene neighborhood in Michigan with suburban houses and tree-lined streets. In the foreground, a car is shown parked in a driveway, but it is noticeably empty - the silhouette of the stolen car hinting at the sudden disappearance. In the background, a rural area in Norway is depicted with a quaint cabin nestled among snow-covered trees. A family is shown through the cabin's windows, warmly lit by the soft glow of kerosene lamps, conveying the coziness of their winter refuge.
*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.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how a decrease in Motor vehicle thefts in Michigan caused Kerosene used in Norway to decrease. Make it feel plausible.
AI academic paper
 |
Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan The Journal of Cross-Cultural Comparisons in Unlikely Places Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Motor vehicle thefts in Michigan and Kerosene used in Norway. 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 FBI Criminal Justice Information Services and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9731947 and p < 0.01 for 1985 to 2022.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
"Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan"
[[ABSTRACT]]
In this study, we delved into the fascinating world of fuel consumption and criminal activities to unearth the unexpected and eyebrow-raising link between kerosene used in Norway and motor vehicle thefts in Michigan. Leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration, our research team ventured on this unconventional journey, proving that sometimes the most ludicrous connections hold a kernel of truth.
Our findings, with a correlation coefficient of 0.9731947 and p < 0.01 for the time period spanning from 1985 to 2022, sent shockwaves through the research community. Who would have thought that the consumption of kerosene across the ocean could be intertwined with the mischievous activities of car thieves in the Great Lakes State?
A pertinent dad joke to complement our findings: "Did you hear about the thief who stole a calendar? He got 12 months!"
We invite readers to join us on this whimsical yet enlightening journey, where seemingly unrelated phenomena converge, challenging the boundaries of conventional thinking and offering a fresh perspective on the world of criminology and fuel dynamics. After all, truth can be stranger than fiction, even when it involves kerosene and car thefts.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Motor vehicle thefts in Michigan and Kerosene used in Norway. 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]]
"Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan"
[[ABSTRACT]]
In this study, we delved into the fascinating world of fuel consumption and criminal activities to unearth the unexpected and eyebrow-raising link between kerosene used in Norway and motor vehicle thefts in Michigan. Leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration, our research team ventured on this unconventional journey, proving that sometimes the most ludicrous connections hold a kernel of truth.
Our findings, with a correlation coefficient of 0.9731947 and p < 0.01 for the time period spanning from 1985 to 2022, sent shockwaves through the research community. Who would have thought that the consumption of kerosene across the ocean could be intertwined with the mischievous activities of car thieves in the Great Lakes State?
A pertinent dad joke to complement our findings: "Did you hear about the thief who stole a calendar? He got 12 months!"
We invite readers to join us on this whimsical yet enlightening journey, where seemingly unrelated phenomena converge, challenging the boundaries of conventional thinking and offering a fresh perspective on the world of criminology and fuel dynamics. After all, truth can be stranger than fiction, even when it involves kerosene and car thefts.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
Picture this: a serene, Nordic landscape adorned with fjords and mountains, where the crispy winter air is infused with the scent of kerosene lamps burning brightly. Meanwhile, across the Atlantic, the hustle and bustle of the Motor City echoes through the streets of Detroit, known for its automotive prowess and a not-so-cosy reputation for motor vehicle thefts. In a strange turn of events, we found ourselves connecting the dots between these two seemingly unrelated worlds, with the suspicion that kerosene consumption in Norway might have a fiery connection to motor vehicle thefts in Michigan.
As researchers, we are often reminded of the old saying, "When in doubt, connect the dots." And boy, were we in doubt when we stumbled upon this peculiar correlation. It's certainly not every day that one ponders the potential relationship between lamp oil and car heists. Nevertheless, we plunged headfirst into this mystery, armed with statistical analysis, a penchant for puns, and a healthy dose of skepticism.
Speaking of skepticism, did you hear about the statistician who drowned in a river with an average depth of 3 feet? Ah, the perils of relying solely on averages! As researchers, we know all too well the importance of rigorous analysis and the potential pitfalls of drawing hasty conclusions based on surface-level observations.
Our foray into this unconventional research realm was fueled by the curiosity to challenge the status quo and uncover unexpected connections. Little did we know that our quest would lead us to the intersection of fuel dynamics and criminal behavior. After all, as the great physicist Niels Bohr once quipped, "Prediction is very difficult, especially if it's about the future." Yet, here we are, ready to share our unexpected findings with the scientific community.
So, what did we uncover in our escapade through the world of data and correlations? Imagine our astonishment when the numbers revealed a staggering correlation coefficient of 0.9731947, indicating a compelling relationship between kerosene consumption in Norway and motor vehicle thefts in Michigan. It seems that even in the realm of scientific inquiry, truth can be stranger than fiction.
Now, to lighten the mood with a relevant dad joke: "I told my wife she should embrace her mistakes. She gave me a hug!" Just as a good joke can brighten the day, our findings shed light on the uncharted territory where statistical analysis and real-world phenomena converge.
As we invite our esteemed colleagues and readers to join us on this enlightening journey, we hope to spark conversations and inspire new perspectives on the intricate web of connections that permeate our world. From the fjords of Norway to the streets of Michigan, the threads of correlation may be surprisingly intertwined. After all, in the words of the great researcher Marie Curie, "Nothing in life is to be feared, it is only to be understood." Let's venture forth and unravel the mysteries that fuel our curiosities and ignite our quest for knowledge.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Motor vehicle thefts in Michigan and Kerosene used in Norway. 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 some cartoons and childrens' shows that you watched that are related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
"Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan"
[[ABSTRACT]]
In this study, we delved into the fascinating world of fuel consumption and criminal activities to unearth the unexpected and eyebrow-raising link between kerosene used in Norway and motor vehicle thefts in Michigan. Leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration, our research team ventured on this unconventional journey, proving that sometimes the most ludicrous connections hold a kernel of truth.
Our findings, with a correlation coefficient of 0.9731947 and p < 0.01 for the time period spanning from 1985 to 2022, sent shockwaves through the research community. Who would have thought that the consumption of kerosene across the ocean could be intertwined with the mischievous activities of car thieves in the Great Lakes State?
A pertinent dad joke to complement our findings: "Did you hear about the thief who stole a calendar? He got 12 months!"
We invite readers to join us on this whimsical yet enlightening journey, where seemingly unrelated phenomena converge, challenging the boundaries of conventional thinking and offering a fresh perspective on the world of criminology and fuel dynamics. After all, truth can be stranger than fiction, even when it involves kerosene and car thefts.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Picture this: a serene, Nordic landscape adorned with fjords and mountains, where the crispy winter air is infused with the scent of kerosene lamps burning brightly. Meanwhile, across the Atlantic, the hustle and bustle of the Motor City echoes through the streets of Detroit, known for its automotive prowess and a not-so-cosy reputation for motor vehicle thefts. In a strange turn of events, we found ourselves connecting the dots between these two seemingly unrelated worlds, with the suspicion that kerosene consumption in Norway might have a fiery connection to motor vehicle thefts in Michigan.
As researchers, we are often reminded of the old saying, "When in doubt, connect the dots." And boy, were we in doubt when we stumbled upon this peculiar correlation. It's certainly not every day that one ponders the potential relationship between lamp oil and car heists. Nevertheless, we plunged headfirst into this mystery, armed with statistical analysis, a penchant for puns, and a healthy dose of skepticism.
Speaking of skepticism, did you hear about the statistician who drowned in a river with an average depth of 3 feet? Ah, the perils of relying solely on averages! As researchers, we know all too well the importance of rigorous analysis and the potential pitfalls of drawing hasty conclusions based on surface-level observations.
Our foray into this unconventional research realm was fueled by the curiosity to challenge the status quo and uncover unexpected connections. Little did we know that our quest would lead us to the intersection of fuel dynamics and criminal behavior. After all, as the great physicist Niels Bohr once quipped, "Prediction is very difficult, especially if it's about the future." Yet, here we are, ready to share our unexpected findings with the scientific community.
So, what did we uncover in our escapade through the world of data and correlations? Imagine our astonishment when the numbers revealed a staggering correlation coefficient of 0.9731947, indicating a compelling relationship between kerosene consumption in Norway and motor vehicle thefts in Michigan. It seems that even in the realm of scientific inquiry, truth can be stranger than fiction.
Now, to lighten the mood with a relevant dad joke: "I told my wife she should embrace her mistakes. She gave me a hug!" Just as a good joke can brighten the day, our findings shed light on the uncharted territory where statistical analysis and real-world phenomena converge.
As we invite our esteemed colleagues and readers to join us on this enlightening journey, we hope to spark conversations and inspire new perspectives on the intricate web of connections that permeate our world. From the fjords of Norway to the streets of Michigan, the threads of correlation may be surprisingly intertwined. After all, in the words of the great researcher Marie Curie, "Nothing in life is to be feared, it is only to be understood." Let's venture forth and unravel the mysteries that fuel our curiosities and ignite our quest for knowledge.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
Smith, Doe, and Jones, in their landmark study "Fuel Dynamics and Criminal Behavior," delved into the intricate relationship between fuel consumption and criminal activities. Their rigorous analysis revealed compelling correlations between various types of fuel and criminal behaviors, shedding light on the nuanced dynamics at play. Little did they know that their work would open the door to uncovering the surprising connection between kerosene consumption in Norway and motor vehicle thefts in Michigan.
In "Kerosene: A Comprehensive Analysis," the authors explore the multifaceted role of kerosene in domestic and industrial settings, showcasing its significance in lighting, heating, and other applications. Their thorough examination of kerosene usage inadvertently hinted at the potential ripple effects of its consumption across geographical boundaries, leading us to ponder its unforeseen influence on criminal activities in distant lands.
As we venture further into the literature, it becomes clear that the realm of fuel dynamics and criminal behavior is rife with unexpected twists and turns. In "The Art of Misdirection in Criminology," the authors examine the subtle tactics employed by criminals to obscure their activities, mirroring the enigmatic nature of our research journey. Just as a magician captivates their audience with sleight of hand, we found ourselves unraveling the mystery of kerosene's clandestine connection to motor vehicle thefts.
Now, let's detour into the realm of fiction to draw parallels with our unconventional findings. From "The Girl with the Dragon Tattoo" to "The Da Vinci Code," fictional narratives often intertwine seemingly disparate elements to weave captivating tales. In a similar vein, our investigation into the peculiar association between kerosene in Norway and car thefts in Michigan unravels like a plot twist in a gripping thriller, leaving the research community both puzzled and intrigued.
Amidst our scholarly pursuits, it's essential to acknowledge the significance of childhood influences in shaping our perspectives. As avid fans of "Scooby-Doo" mysteries and "Inspector Gadget" escapades, we've learned to approach enigmatic conundrums with a sense of curiosity and lighthearted tenacity. Our research journey mirrors the whimsical spirit of these cherished childhood memories, where unexpected discoveries lay hidden beneath the surface, waiting to be unmasked.
With each literary reference and childhood reminiscence, we're reminded that the scientific pursuit of truth can be peppered with delightful surprises and unexpected connections. Just as a well-timed dad joke can lighten the mood, our findings aim to infuse levity into the academic discourse while unraveling the peculiar link between kerosene consumption in Norway and motor vehicle thefts in Michigan. So, without further ado, let's embark on this laughter-inducing yet enlightening journey together!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Motor vehicle thefts in Michigan and Kerosene used in Norway. 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 FBI Criminal Justice Information Services and Energy Information Administration . You used data from 1985 to 2022
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan"
[[ABSTRACT]]
In this study, we delved into the fascinating world of fuel consumption and criminal activities to unearth the unexpected and eyebrow-raising link between kerosene used in Norway and motor vehicle thefts in Michigan. Leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration, our research team ventured on this unconventional journey, proving that sometimes the most ludicrous connections hold a kernel of truth.
Our findings, with a correlation coefficient of 0.9731947 and p < 0.01 for the time period spanning from 1985 to 2022, sent shockwaves through the research community. Who would have thought that the consumption of kerosene across the ocean could be intertwined with the mischievous activities of car thieves in the Great Lakes State?
A pertinent dad joke to complement our findings: "Did you hear about the thief who stole a calendar? He got 12 months!"
We invite readers to join us on this whimsical yet enlightening journey, where seemingly unrelated phenomena converge, challenging the boundaries of conventional thinking and offering a fresh perspective on the world of criminology and fuel dynamics. After all, truth can be stranger than fiction, even when it involves kerosene and car thefts.
[[INTRODUCTION]]
Picture this: a serene, Nordic landscape adorned with fjords and mountains, where the crispy winter air is infused with the scent of kerosene lamps burning brightly. Meanwhile, across the Atlantic, the hustle and bustle of the Motor City echoes through the streets of Detroit, known for its automotive prowess and a not-so-cosy reputation for motor vehicle thefts. In a strange turn of events, we found ourselves connecting the dots between these two seemingly unrelated worlds, with the suspicion that kerosene consumption in Norway might have a fiery connection to motor vehicle thefts in Michigan.
As researchers, we are often reminded of the old saying, "When in doubt, connect the dots." And boy, were we in doubt when we stumbled upon this peculiar correlation. It's certainly not every day that one ponders the potential relationship between lamp oil and car heists. Nevertheless, we plunged headfirst into this mystery, armed with statistical analysis, a penchant for puns, and a healthy dose of skepticism.
Speaking of skepticism, did you hear about the statistician who drowned in a river with an average depth of 3 feet? Ah, the perils of relying solely on averages! As researchers, we know all too well the importance of rigorous analysis and the potential pitfalls of drawing hasty conclusions based on surface-level observations.
Our foray into this unconventional research realm was fueled by the curiosity to challenge the status quo and uncover unexpected connections. Little did we know that our quest would lead us to the intersection of fuel dynamics and criminal behavior. After all, as the great physicist Niels Bohr once quipped, "Prediction is very difficult, especially if it's about the future." Yet, here we are, ready to share our unexpected findings with the scientific community.
So, what did we uncover in our escapade through the world of data and correlations? Imagine our astonishment when the numbers revealed a staggering correlation coefficient of 0.9731947, indicating a compelling relationship between kerosene consumption in Norway and motor vehicle thefts in Michigan. It seems that even in the realm of scientific inquiry, truth can be stranger than fiction.
Now, to lighten the mood with a relevant dad joke: "I told my wife she should embrace her mistakes. She gave me a hug!" Just as a good joke can brighten the day, our findings shed light on the uncharted territory where statistical analysis and real-world phenomena converge.
As we invite our esteemed colleagues and readers to join us on this enlightening journey, we hope to spark conversations and inspire new perspectives on the intricate web of connections that permeate our world. From the fjords of Norway to the streets of Michigan, the threads of correlation may be surprisingly intertwined. After all, in the words of the great researcher Marie Curie, "Nothing in life is to be feared, it is only to be understood." Let's venture forth and unravel the mysteries that fuel our curiosities and ignite our quest for knowledge.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To embark on our research quest, we had to concoct a methodological brew as intriguing and complex as the enigmatic connection we aimed to unveil. Our first step involved sifting through an eclectic array of data sources, akin to excavating a treasure trove of statistical gems. Our team diligently combed through records from the FBI Criminal Justice Information Services and the Energy Information Administration, utilizing data spanning from 1985 to 2022. It was a journey as exhilarating as solving a cryptic Sudoku puzzle, with each dataset unfolding new patterns and insights.
With our trusty statistical tools in hand, we meticulously mapped out the kerosene consumption in Norway and the motor vehicle thefts in Michigan, capturing the essence of these seemingly disparate variables. Our analytical arsenal featured a blend of time-series analysis, regression models, and a sprinkle of machine learning algorithms. It was like conducting an elaborate orchestral performance, with each statistical technique harmonizing to reveal the melodious relationship between kerosene and car thefts.
Next, we dabbled in the art of correlation analysis, akin to observing the intricate dance of celestial bodies. Armed with the Pearson correlation coefficient, we quantified the strength of the relationship between kerosene usage in Norway and motor vehicle thefts in Michigan. The numbers didn't lie, and the correlation coefficient of 0.9731947 shone like a lighthouse illuminating the uncharted waters of our research landscape. It was a validation of the quirky hunch that led us down this unconventional path.
In our pursuit of scientific enlightenment, we did encounter a few roadblocks and statistical anomalies. Like fearless explorers trekking through dense jungles, we navigated through outliers and potential confounding variables, ensuring that our findings remained robust and steadfast. It was akin to untangling a perplexing knot, where precision and patience were our guiding stars.
Fueled by our passion for unearthing the unexpected, we also employed a clever time-lag analysis to examine the temporal dynamics between kerosene consumption and motor vehicle thefts. It was as if we were unraveling the threads of a captivating mystery novel, piecing together the sequence of events across time and space to reveal a compelling narrative. The notion that kerosene consumption today could influence car thefts tomorrow was truly akin to predicting the weather - a thought-provoking blend of skepticism and fascination.
In the spirit of infusing a dash of whimsy into our rigorous methodology, we couldn't resist incorporating a bit of computational wizardry. Our team delved into the world of complex network analysis, treating the interconnectedness of kerosene and car thefts as a web of intrigue, reminiscent of a thrilling spy thriller. By dissecting the intricate network of relationships, we teased out the subtle nuances that underpinned our intriguing findings, adding a layer of intrigue to our methodological narrative.
Our methodological escapade concluded with a thorough sensitivity analysis, akin to stress-testing the robustness of a finely crafted scientific theory. We probed the resilience of our statistical models, challenging them with varying scenarios and hypothetical constructs, ensuring that our discoveries stood firm against the gusts of skepticism and inquiry.
With our methodological jigsaw puzzle complete, we unveiled a framework as intricate and captivating as the very phenomenon we set out to unravel. It was a testament to the fervor and dedication of our research team, akin to weaving a tapestry of scientific inquiry that spanned continents and disciplines. As we unraveled the unexpected link between kerosene consumed in Norway and motor vehicle thefts in Michigan, we reveled in the delight of scientific serendipity and the thrill of unearthing the improbable connections that permeate our world.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Motor vehicle thefts in Michigan and Kerosene used in Norway. 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 FBI Criminal Justice Information Services and Energy Information Administration .
For the time period 1985 to 2022, you found a correlation 0.9731947, r-squared of 0.9471080, 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]]
"Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan"
[[ABSTRACT]]
In this study, we delved into the fascinating world of fuel consumption and criminal activities to unearth the unexpected and eyebrow-raising link between kerosene used in Norway and motor vehicle thefts in Michigan. Leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration, our research team ventured on this unconventional journey, proving that sometimes the most ludicrous connections hold a kernel of truth.
Our findings, with a correlation coefficient of 0.9731947 and p < 0.01 for the time period spanning from 1985 to 2022, sent shockwaves through the research community. Who would have thought that the consumption of kerosene across the ocean could be intertwined with the mischievous activities of car thieves in the Great Lakes State?
A pertinent dad joke to complement our findings: "Did you hear about the thief who stole a calendar? He got 12 months!"
We invite readers to join us on this whimsical yet enlightening journey, where seemingly unrelated phenomena converge, challenging the boundaries of conventional thinking and offering a fresh perspective on the world of criminology and fuel dynamics. After all, truth can be stranger than fiction, even when it involves kerosene and car thefts.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
Picture this: a serene, Nordic landscape adorned with fjords and mountains, where the crispy winter air is infused with the scent of kerosene lamps burning brightly. Meanwhile, across the Atlantic, the hustle and bustle of the Motor City echoes through the streets of Detroit, known for its automotive prowess and a not-so-cosy reputation for motor vehicle thefts. In a strange turn of events, we found ourselves connecting the dots between these two seemingly unrelated worlds, with the suspicion that kerosene consumption in Norway might have a fiery connection to motor vehicle thefts in Michigan.
As researchers, we are often reminded of the old saying, "When in doubt, connect the dots." And boy, were we in doubt when we stumbled upon this peculiar correlation. It's certainly not every day that one ponders the potential relationship between lamp oil and car heists. Nevertheless, we plunged headfirst into this mystery, armed with statistical analysis, a penchant for puns, and a healthy dose of skepticism.
Speaking of skepticism, did you hear about the statistician who drowned in a river with an average depth of 3 feet? Ah, the perils of relying solely on averages! As researchers, we know all too well the importance of rigorous analysis and the potential pitfalls of drawing hasty conclusions based on surface-level observations.
Our foray into this unconventional research realm was fueled by the curiosity to challenge the status quo and uncover unexpected connections. Little did we know that our quest would lead us to the intersection of fuel dynamics and criminal behavior. After all, as the great physicist Niels Bohr once quipped, "Prediction is very difficult, especially if it's about the future." Yet, here we are, ready to share our unexpected findings with the scientific community.
So, what did we uncover in our escapade through the world of data and correlations? Imagine our astonishment when the numbers revealed a staggering correlation coefficient of 0.9731947, indicating a compelling relationship between kerosene consumption in Norway and motor vehicle thefts in Michigan. It seems that even in the realm of scientific inquiry, truth can be stranger than fiction.
Now, to lighten the mood with a relevant dad joke: "I told my wife she should embrace her mistakes. She gave me a hug!" Just as a good joke can brighten the day, our findings shed light on the uncharted territory where statistical analysis and real-world phenomena converge.
As we invite our esteemed colleagues and readers to join us on this enlightening journey, we hope to spark conversations and inspire new perspectives on the intricate web of connections that permeate our world. From the fjords of Norway to the streets of Michigan, the threads of correlation may be surprisingly intertwined. After all, in the words of the great researcher Marie Curie, "Nothing in life is to be feared, it is only to be understood." Let's venture forth and unravel the mysteries that fuel our curiosities and ignite our quest for knowledge.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The culmination of our investigation uncovered a compelling correlation between kerosene consumption in Norway and motor vehicle thefts in Michigan, with a correlation coefficient of 0.9731947, an r-squared value of 0.9471080, and a p-value below 0.01 for the time period spanning from 1985 to 2022. This discovery thrilled us to no end, showing that even seemingly unrelated variables can come together like a well-mixed chemical compound.
Behold, Fig. 1, a scatterplot that vividly illustrates the robust relationship we unearthed, reminiscent of a grand musical composition where each note complements the others harmoniously, much like how a good dad joke punctuates a serious discussion.
Our findings not only confirm a strong statistical connection between kerosene usage in Norway and motor vehicle thefts in Michigan but also serve as a compelling reminder of the importance of exploring uncharted territories within research. As the saying goes, "Science is a way of thinking much more than it is a body of knowledge." In this case, our unexpected link offers a fresh perspective on the dynamics of fuel consumption and criminal activities, much like a humorous anecdote can provide levity in serious discussions.
Let's pause for a dad joke break: "Did you hear about the car that got a flat tire? It was pretty tired afterward." Just as a tire needs regular monitoring, so too do our research findings require careful examination and interpretation to grasp their full significance.
In the world of empirical inquiry, the unexpected often reveals itself to be the most intriguing. Our results emphasize the need for continued exploration and open-mindedness when delving into the depths of data analysis and correlation, reminding us that truth can spring from the most unassuming of places, not unlike a hidden punchline in a well-crafted joke.
In closing, our study leaves an indelible mark on the research landscape, underscoring the importance of venturing beyond the confines of traditional investigation and embracing the quirks and surprises that await in the realm of scientific inquiry. After all, as researchers, we must always stay open to new perspectives and unexpected discoveries, much like how a good dad joke keeps the conversation lively and thought-provoking.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Motor vehicle thefts in Michigan and Kerosene used in Norway. 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]]
"Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan"
[[ABSTRACT]]
In this study, we delved into the fascinating world of fuel consumption and criminal activities to unearth the unexpected and eyebrow-raising link between kerosene used in Norway and motor vehicle thefts in Michigan. Leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration, our research team ventured on this unconventional journey, proving that sometimes the most ludicrous connections hold a kernel of truth.
Our findings, with a correlation coefficient of 0.9731947 and p < 0.01 for the time period spanning from 1985 to 2022, sent shockwaves through the research community. Who would have thought that the consumption of kerosene across the ocean could be intertwined with the mischievous activities of car thieves in the Great Lakes State?
A pertinent dad joke to complement our findings: "Did you hear about the thief who stole a calendar? He got 12 months!"
We invite readers to join us on this whimsical yet enlightening journey, where seemingly unrelated phenomena converge, challenging the boundaries of conventional thinking and offering a fresh perspective on the world of criminology and fuel dynamics. After all, truth can be stranger than fiction, even when it involves kerosene and car thefts.
[[LITERATURE REVIEW]]
Smith, Doe, and Jones, in their landmark study "Fuel Dynamics and Criminal Behavior," delved into the intricate relationship between fuel consumption and criminal activities. Their rigorous analysis revealed compelling correlations between various types of fuel and criminal behaviors, shedding light on the nuanced dynamics at play. Little did they know that their work would open the door to uncovering the surprising connection between kerosene consumption in Norway and motor vehicle thefts in Michigan.
In "Kerosene: A Comprehensive Analysis," the authors explore the multifaceted role of kerosene in domestic and industrial settings, showcasing its significance in lighting, heating, and other applications. Their thorough examination of kerosene usage inadvertently hinted at the potential ripple effects of its consumption across geographical boundaries, leading us to ponder its unforeseen influence on criminal activities in distant lands.
As we venture further into the literature, it becomes clear that the realm of fuel dynamics and criminal behavior is rife with unexpected twists and turns. In "The Art of Misdirection in Criminology," the authors examine the subtle tactics employed by criminals to obscure their activities, mirroring the enigmatic nature of our research journey. Just as a magician captivates their audience with sleight of hand, we found ourselves unraveling the mystery of kerosene's clandestine connection to motor vehicle thefts.
Now, let's detour into the realm of fiction to draw parallels with our unconventional findings. From "The Girl with the Dragon Tattoo" to "The Da Vinci Code," fictional narratives often intertwine seemingly disparate elements to weave captivating tales. In a similar vein, our investigation into the peculiar association between kerosene in Norway and car thefts in Michigan unravels like a plot twist in a gripping thriller, leaving the research community both puzzled and intrigued.
Amidst our scholarly pursuits, it's essential to acknowledge the significance of childhood influences in shaping our perspectives. As avid fans of "Scooby-Doo" mysteries and "Inspector Gadget" escapades, we've learned to approach enigmatic conundrums with a sense of curiosity and lighthearted tenacity. Our research journey mirrors the whimsical spirit of these cherished childhood memories, where unexpected discoveries lay hidden beneath the surface, waiting to be unmasked.
With each literary reference and childhood reminiscence, we're reminded that the scientific pursuit of truth can be peppered with delightful surprises and unexpected connections. Just as a well-timed dad joke can lighten the mood, our findings aim to infuse levity into the academic discourse while unraveling the peculiar link between kerosene consumption in Norway and motor vehicle thefts in Michigan. So, without further ado, let's embark on this laughter-inducing yet enlightening journey together!
[[RESULTS]]
The culmination of our investigation uncovered a compelling correlation between kerosene consumption in Norway and motor vehicle thefts in Michigan, with a correlation coefficient of 0.9731947, an r-squared value of 0.9471080, and a p-value below 0.01 for the time period spanning from 1985 to 2022. This discovery thrilled us to no end, showing that even seemingly unrelated variables can come together like a well-mixed chemical compound.
Behold, Fig. 1, a scatterplot that vividly illustrates the robust relationship we unearthed, reminiscent of a grand musical composition where each note complements the others harmoniously, much like how a good dad joke punctuates a serious discussion.
Our findings not only confirm a strong statistical connection between kerosene usage in Norway and motor vehicle thefts in Michigan but also serve as a compelling reminder of the importance of exploring uncharted territories within research. As the saying goes, "Science is a way of thinking much more than it is a body of knowledge." In this case, our unexpected link offers a fresh perspective on the dynamics of fuel consumption and criminal activities, much like a humorous anecdote can provide levity in serious discussions.
Let's pause for a dad joke break: "Did you hear about the car that got a flat tire? It was pretty tired afterward." Just as a tire needs regular monitoring, so too do our research findings require careful examination and interpretation to grasp their full significance.
In the world of empirical inquiry, the unexpected often reveals itself to be the most intriguing. Our results emphasize the need for continued exploration and open-mindedness when delving into the depths of data analysis and correlation, reminding us that truth can spring from the most unassuming of places, not unlike a hidden punchline in a well-crafted joke.
In closing, our study leaves an indelible mark on the research landscape, underscoring the importance of venturing beyond the confines of traditional investigation and embracing the quirks and surprises that await in the realm of scientific inquiry. After all, as researchers, we must always stay open to new perspectives and unexpected discoveries, much like how a good dad joke keeps the conversation lively and thought-provoking.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study provide compelling evidence that the consumption of kerosene in Norway and motor vehicle thefts in Michigan are indeed correlated, echoing the pioneering work of Smith, Doe, and Jones in uncovering the intricate relationship between fuel dynamics and criminal behavior. This unexpected link exemplifies the idea that, in the realm of research, truth can be as surprising as finding out your neighbor is secretly a stand-up comedian. Our findings directly align with previous literature, establishing a robust connection between these two seemingly unrelated variables. It seems that fuel and felonies make for quite the dynamic duo!
Now, onto our discovery - the robust correlation coefficient and p-value below 0.01 bolster our assertion that kerosene consumption in Norway does bear a statistical connection to the motor vehicle thefts in Michigan. If statistical significance had a flavor, ours would taste like vindication and a sprinkle of serendipity.
Additionally, our results reflect the nuanced analytical approach of "Kerosene: A Comprehensive Analysis," as we unravel the repercussions of kerosene consumption across international borders in a manner akin to how a magician pulls a rabbit out of a hat – unexpected and fascinating. This uncanny association underscores the need for researchers to pursue offbeat avenues of investigation, akin to detectives following intriguing leads.
The strong statistical linkage we uncovered underscores the quirkiness of scientific exploration, akin to finding hidden Easter eggs in a blockbuster movie – unexpected and delightful. Our findings embrace the tantalizing allure of surprising discoveries, akin to mining for gold in a research desert, revealing the unexpected yet valuable connections waiting to be unearthed. Much like the classic 'got your nose' joke, where one expects a predictable outcome and is pleasantly surprised with an unexpected twist, our research challenges preconceived notions and uncovers remarkable, unforeseen associations.
In summary, the interplay between kerosene consumption in Norway and motor vehicle thefts in Michigan serves as a testament to the intriguing and often surprising nature of empirical inquiry. Our results, like a well-timed pun, infuse levity into the realm of statistical analysis, reminding the research community to stay open to unconventional hypotheses and unexpected correlations. After all, just as a good dad joke can lighten the mood, our findings offer an unorthodox yet enlightening perspective on the nuanced dynamics of fuel consumption and criminal activities.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Motor vehicle thefts in Michigan and Kerosene used in Norway. 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]]
"Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan"
[[ABSTRACT]]
In this study, we delved into the fascinating world of fuel consumption and criminal activities to unearth the unexpected and eyebrow-raising link between kerosene used in Norway and motor vehicle thefts in Michigan. Leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration, our research team ventured on this unconventional journey, proving that sometimes the most ludicrous connections hold a kernel of truth.
Our findings, with a correlation coefficient of 0.9731947 and p < 0.01 for the time period spanning from 1985 to 2022, sent shockwaves through the research community. Who would have thought that the consumption of kerosene across the ocean could be intertwined with the mischievous activities of car thieves in the Great Lakes State?
A pertinent dad joke to complement our findings: "Did you hear about the thief who stole a calendar? He got 12 months!"
We invite readers to join us on this whimsical yet enlightening journey, where seemingly unrelated phenomena converge, challenging the boundaries of conventional thinking and offering a fresh perspective on the world of criminology and fuel dynamics. After all, truth can be stranger than fiction, even when it involves kerosene and car thefts.
[[INTRDUCTION]]
Picture this: a serene, Nordic landscape adorned with fjords and mountains, where the crispy winter air is infused with the scent of kerosene lamps burning brightly. Meanwhile, across the Atlantic, the hustle and bustle of the Motor City echoes through the streets of Detroit, known for its automotive prowess and a not-so-cosy reputation for motor vehicle thefts. In a strange turn of events, we found ourselves connecting the dots between these two seemingly unrelated worlds, with the suspicion that kerosene consumption in Norway might have a fiery connection to motor vehicle thefts in Michigan.
As researchers, we are often reminded of the old saying, "When in doubt, connect the dots." And boy, were we in doubt when we stumbled upon this peculiar correlation. It's certainly not every day that one ponders the potential relationship between lamp oil and car heists. Nevertheless, we plunged headfirst into this mystery, armed with statistical analysis, a penchant for puns, and a healthy dose of skepticism.
Speaking of skepticism, did you hear about the statistician who drowned in a river with an average depth of 3 feet? Ah, the perils of relying solely on averages! As researchers, we know all too well the importance of rigorous analysis and the potential pitfalls of drawing hasty conclusions based on surface-level observations.
Our foray into this unconventional research realm was fueled by the curiosity to challenge the status quo and uncover unexpected connections. Little did we know that our quest would lead us to the intersection of fuel dynamics and criminal behavior. After all, as the great physicist Niels Bohr once quipped, "Prediction is very difficult, especially if it's about the future." Yet, here we are, ready to share our unexpected findings with the scientific community.
So, what did we uncover in our escapade through the world of data and correlations? Imagine our astonishment when the numbers revealed a staggering correlation coefficient of 0.9731947, indicating a compelling relationship between kerosene consumption in Norway and motor vehicle thefts in Michigan. It seems that even in the realm of scientific inquiry, truth can be stranger than fiction.
Now, to lighten the mood with a relevant dad joke: "I told my wife she should embrace her mistakes. She gave me a hug!" Just as a good joke can brighten the day, our findings shed light on the uncharted territory where statistical analysis and real-world phenomena converge.
As we invite our esteemed colleagues and readers to join us on this enlightening journey, we hope to spark conversations and inspire new perspectives on the intricate web of connections that permeate our world. From the fjords of Norway to the streets of Michigan, the threads of correlation may be surprisingly intertwined. After all, in the words of the great researcher Marie Curie, "Nothing in life is to be feared, it is only to be understood." Let's venture forth and unravel the mysteries that fuel our curiosities and ignite our quest for knowledge.
[[RESULTS]]
The culmination of our investigation uncovered a compelling correlation between kerosene consumption in Norway and motor vehicle thefts in Michigan, with a correlation coefficient of 0.9731947, an r-squared value of 0.9471080, and a p-value below 0.01 for the time period spanning from 1985 to 2022. This discovery thrilled us to no end, showing that even seemingly unrelated variables can come together like a well-mixed chemical compound.
Behold, Fig. 1, a scatterplot that vividly illustrates the robust relationship we unearthed, reminiscent of a grand musical composition where each note complements the others harmoniously, much like how a good dad joke punctuates a serious discussion.
Our findings not only confirm a strong statistical connection between kerosene usage in Norway and motor vehicle thefts in Michigan but also serve as a compelling reminder of the importance of exploring uncharted territories within research. As the saying goes, "Science is a way of thinking much more than it is a body of knowledge." In this case, our unexpected link offers a fresh perspective on the dynamics of fuel consumption and criminal activities, much like a humorous anecdote can provide levity in serious discussions.
Let's pause for a dad joke break: "Did you hear about the car that got a flat tire? It was pretty tired afterward." Just as a tire needs regular monitoring, so too do our research findings require careful examination and interpretation to grasp their full significance.
In the world of empirical inquiry, the unexpected often reveals itself to be the most intriguing. Our results emphasize the need for continued exploration and open-mindedness when delving into the depths of data analysis and correlation, reminding us that truth can spring from the most unassuming of places, not unlike a hidden punchline in a well-crafted joke.
In closing, our study leaves an indelible mark on the research landscape, underscoring the importance of venturing beyond the confines of traditional investigation and embracing the quirks and surprises that await in the realm of scientific inquiry. After all, as researchers, we must always stay open to new perspectives and unexpected discoveries, much like how a good dad joke keeps the conversation lively and thought-provoking.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In wrapping up our study, we can't help but highlight the unexpected and, dare we say, illuminating connection between kerosene consumption in Norway and motor vehicle thefts in Michigan. Our findings have ignited a blaze of curiosity and opened a Pandora's box of possibilities in the realm of statistical correlations. It's like the time I tried to start a chemical analysis on a whim – talk about an unexpected reaction!
Our statistical analysis, with a correlation coefficient resembling the tight grip of a lug nut on a tire and p-value akin to the reliability of a well-maintained engine, firmly establishes the surprising link between these seemingly disparate variables. It's as if science and the art of dad jokes came together to craft an unexpected, yet undeniably real, connection.
In the spirit of our research, here's a fitting dad joke to end on: "Why don't scientists trust atoms? Because they make up everything!" Just as atoms compose the world around us, our findings compose a unique and potentially groundbreaking revelation in the world of empirical inquiry.
As we bring our exploration to a close, we assert that no further research in this area is needed. We've unraveled a remarkable correlation that defies traditional expectations and challenges the boundaries of research. It's like finding a golden wrench in a toolbox of conventional thinking – a true gem in the world of scientific discovery.
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 Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Cross-Cultural Comparisons in Unlikely Places
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 Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Comparative Energy 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 Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan with an abstract of In this study, we delved into the fascinating world of fuel consumption and criminal activities to unearth the unexpected and eyebrow-raising link between kerosene used in Norway and motor vehicle thefts in Michigan. Leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration, our research team ventured on this unconventional journey, proving that sometimes the most ludicrous connections hold a kernel of truth.
Our findings, with a correlation coefficient of 0.9731947 and p < 0.01 for the time period spanning from 1985 to 2022, sent shockwaves through the research community. Who would have thought that the consumption of kerosene across the ocean could be intertwined with the mischievous activities of car thieves in the Great Lakes State?
A pertinent dad joke to complement our findings: "Did you hear about the thief who stole a calendar? He got 12 months!"
We invite readers to join us on this whimsical yet enlightening journey, where seemingly unrelated phenomena converge, challenging the boundaries of conventional thinking and offering a fresh perspective on the world of criminology and fuel dynamics. After all, truth can be stranger than fiction, even when it involves kerosene and car thefts.
ChatGPT:
kerosene consumption, Norway, motor vehicle thefts, Michigan, fuel consumption, criminal activities, FBI Criminal Justice Information Services, Energy Information Administration, correlation coefficient, unconventional connections, research findings, criminology, fuel dynamics, unusual correlations
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
View all correlations
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Data details
Motor vehicle thefts in MichiganDetailed data title: The motor vehicle theft rate per 100,000 residents in Michigan
Source: FBI Criminal Justice Information Services
See what else correlates with Motor vehicle thefts in Michigan
Kerosene used in Norway
Detailed data title: Volume of kerosene used consumed in Norway in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Kerosene used in Norway
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 = 0.9471080 (Coefficient of determination)
This means 94.7% of the change in the one variable (i.e., Kerosene used in Norway) is predictable based on the change in the other (i.e., Motor vehicle thefts in Michigan) over the 38 years from 1985 through 2022.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.4E-24. 0.0000000000000000000000014222
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 0.97 in 1.4E-22% of random cases. Said differently, if you correlated 703,135,986,499,789,042,745,344 random variables You don't actually need 703 sextillion 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 37 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 37 because we have two variables measured over a period of 38 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.
[ 0.95, 0.99 ] 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.
| 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
| Motor vehicle thefts in Michigan (Motor Vehicle Theft rate) | 827.8 | 800.4 | 752 | 741.1 | 722.6 | 713.7 | 679.7 | 625.8 | 615 | 656.1 | 645.5 | 700.5 | 668.4 | 594.3 | 575.8 | 560.7 | 535.7 | 495.1 | 532.7 | 500.6 | 477.9 | 496.2 | 416.9 | 357.4 | 294.3 | 277.5 | 252.2 | 253.8 | 243.3 | 214 | 189.5 | 204 | 196.4 | 175 | 178.7 | 184.5 | 215.7 | 267.2 |
| Kerosene used in Norway (Million Barrels/Day) | 4.46849 | 5.09589 | 5.37534 | 4.95082 | 4.10411 | 3.43836 | 3.2137 | 3.27322 | 3.30411 | 3.58356 | 3.45753 | 4.04918 | 3.73699 | 3.38356 | 3.32603 | 2.45082 | 2.7452 | 2.76438 | 3.21096 | 2.71585 | 2.24658 | 2.24658 | 1.76712 | 1.3306 | 1.16164 | 1.42466 | 1.0411 | 0.73224 | 0.942466 | 0.69589 | 0.558904 | 0.530055 | 0.260274 | 0.260274 | 0.076712 | 0.032787 | 0.032877 | 0.021918 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
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([827.8,800.4,752,741.1,722.6,713.7,679.7,625.8,615,656.1,645.5,700.5,668.4,594.3,575.8,560.7,535.7,495.1,532.7,500.6,477.9,496.2,416.9,357.4,294.3,277.5,252.2,253.8,243.3,214,189.5,204,196.4,175,178.7,184.5,215.7,267.2,])
array_2 = np.array([4.46849,5.09589,5.37534,4.95082,4.10411,3.43836,3.2137,3.27322,3.30411,3.58356,3.45753,4.04918,3.73699,3.38356,3.32603,2.45082,2.7452,2.76438,3.21096,2.71585,2.24658,2.24658,1.76712,1.3306,1.16164,1.42466,1.0411,0.73224,0.942466,0.69589,0.558904,0.530055,0.260274,0.260274,0.076712,0.032787,0.032877,0.021918,])
array_1_name = "Motor vehicle thefts in Michigan"
array_2_name = "Kerosene used in Norway"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Motor vehicle thefts in Michigan
- Line chart for only Kerosene used in Norway
- AI-generated correlation image
- The spurious research paper: Fuel for Thought: Kerosene Consumption in Norway and Motor Vehicle Thefts in Michigan
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Correlation ID: 1398 · Black Variable ID: 20141 · Red Variable ID: 24781
