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AI explanation
As robberies increased in South Dakota, more getaway cars were needed. This led to a higher demand for gasoline, prompting an uptick in gasoline pumped in Uruguay as part of an elaborate black market car fueling scheme. Who knew that the roads from South Dakota to Uruguay were the new hotbed for not-so-highway robbery!
Model: dalle-3
Prompt: Generate an image that looks like it's a scene from a Pixar movie, depicting a lively Uruguayan gas station with a line of colorful cars being tended to by a group of American self-defense instructors. These instructors, clad in their signature uniforms, are seamlessly multitasking by pumping gas for the customers while imparting impromptu self-defense tips in a light-hearted and empowering manner. Capture the sense of caution and confidence as the setting reflects the unexpected convergence of self-defense classes and gas pumping skills in a distant land, against the backdrop of the bustling gas station atmosphere. 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: Robberies in South Dakota and Gasoline pumped in Uruguay. 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: Cyberpunk Macabre a funny image you would see on reddit Whimsical illustration An image that looks like it is a scene from a Pixar movie
ChatGPT: An image that looks like it is a scene from a Pixar movie
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 Robberies in South Dakota and Gasoline pumped in Uruguay, in the following situation: As the number of robberies in South Dakota increased, the resulting fear and paranoia led to a surge in demand for self-defense classes, causing a shortage of instructors in the US. This scarcity forced many Americans to seek employment abroad, leading to an influx of self-defense instructors in Uruguay who also happened to be skilled in the art of pumping gas.. Keep the description simple.
ChatGPT: In a bustling Uruguayan gas station, a line of cars is being attended to by a group of self-defense instructors who have recently arrived from the US. As they expertly pump gasoline for the Uruguayan customers, they also offer impromptu self-defense tips, reflecting their newfound employment in a foreign land. The atmosphere is charged with a sense of caution and empowerment, as the South Dakota robberies drive the unexpected convergence of self-defense classes and gas pumping skills in a distant setting.
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: [ An image that looks like it is a scene from a Pixar movie ] and depicting this scene: In a bustling Uruguayan gas station, a line of cars is being attended to by a group of self-defense instructors who have recently arrived from the US. As they expertly pump gasoline for the Uruguayan customers, they also offer impromptu self-defense tips, reflecting their newfound employment in a foreign land. The atmosphere is charged with a sense of caution and empowerment, as the South Dakota robberies drive the unexpected convergence of self-defense classes and gas pumping skills in a distant setting. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that looks like it's a scene from a Pixar movie, depicting a lively Uruguayan gas station with a line of colorful cars being tended to by a group of American self-defense instructors. These instructors, clad in their signature uniforms, are seamlessly multitasking by pumping gas for the customers while imparting impromptu self-defense tips in a light-hearted and empowering manner. Capture the sense of caution and confidence as the setting reflects the unexpected convergence of self-defense classes and gas pumping skills in a distant land, against the backdrop of the bustling gas station atmosphere.
*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 increases in Robberies in South Dakota positively influenced Gasoline pumped in Uruguay. Make it feel plausible.
AI academic paper
 |
Fueling the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay The International Journal of Cross-Cultural Criminology Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 Robberies in South Dakota and Gasoline pumped in Uruguay. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title seem 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 0.7753464 and p < 0.01 for 1985 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Fueling the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay
[[ABSTRACT]]
This study investigates the often-overlooked relationship between robberies in South Dakota and gasoline pumped in Uruguay, leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration. The analysis reveals a surprisingly strong correlation coefficient of 0.7753464 with p < 0.01 over the period from 1985 to 2021, igniting a spark of curiosity and prompting further exploration into this unexpected connection.
Dad Joke: Did you hear about the thief who stole a calendar? He got twelve months!
Our findings suggest that as gasoline consumption in Uruguay increases, there is a corresponding uptick in the rate of robberies in South Dakota. This intriguing linkage challenges conventional wisdom but aligns with the notion that fueling up in one location may lead to an increased propensity for crime in a geographically distant setting.
Dad Joke: I've been waiting to crack this one - why don't scientists trust atoms? Because they make up everything!
The implications of our study extend beyond mere statistical curiosity, potentially shedding light on the complex interplay between energy markets and criminal behavior across different regions. These results underscore the need for interdisciplinary collaboration in understanding the underlying mechanisms driving such unexpected correlations.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug.
In closing, this research highlights the value of examining unconventional connections and the importance of entertaining seemingly far-fetched hypotheses. As we continue to delve into the intricacies of societal phenomena, we must remain open to the possibility that correlations, no matter how improbable, may hold valuable insights waiting to be uncovered.
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 Robberies in South Dakota and Gasoline pumped in Uruguay. 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]]
Fueling the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay
[[ABSTRACT]]
This study investigates the often-overlooked relationship between robberies in South Dakota and gasoline pumped in Uruguay, leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration. The analysis reveals a surprisingly strong correlation coefficient of 0.7753464 with p < 0.01 over the period from 1985 to 2021, igniting a spark of curiosity and prompting further exploration into this unexpected connection.
Dad Joke: Did you hear about the thief who stole a calendar? He got twelve months!
Our findings suggest that as gasoline consumption in Uruguay increases, there is a corresponding uptick in the rate of robberies in South Dakota. This intriguing linkage challenges conventional wisdom but aligns with the notion that fueling up in one location may lead to an increased propensity for crime in a geographically distant setting.
Dad Joke: I've been waiting to crack this one - why don't scientists trust atoms? Because they make up everything!
The implications of our study extend beyond mere statistical curiosity, potentially shedding light on the complex interplay between energy markets and criminal behavior across different regions. These results underscore the need for interdisciplinary collaboration in understanding the underlying mechanisms driving such unexpected correlations.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug.
In closing, this research highlights the value of examining unconventional connections and the importance of entertaining seemingly far-fetched hypotheses. As we continue to delve into the intricacies of societal phenomena, we must remain open to the possibility that correlations, no matter how improbable, may hold valuable insights waiting to be uncovered.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The study of seemingly unrelated variables often leads us down unexpected and sometimes convoluted paths. Much like discovering a correlation between the number of robberies in South Dakota and the volume of gasoline pumped in Uruguay. The relationship may seem as obscure as finding a penguin in the Sahara, but the statistical evidence points to a compelling association that demands exploration.
Dad Joke: Why did the statistician drown in the river? Because he mistook it for a confidence interval!
As researchers, we are constantly on the hunt for hidden patterns and unlikely connections, much like hunting for the elusive snipe in the world of statistics. When confronted with a correlation coefficient of 0.7753464 with p < 0.01 between these two distant variables, it's as if the data itself is playing a mischievous game of hide-and-seek with us.
Dad Joke: What do you call a fake noodle? An impasta!
The starting point of this investigation lies in the recognition that statistical exploration can sometimes lead to unexpected and even counterintuitive discoveries. Such as finding that the amount of gasoline being pumped in one corner of the world may have unforeseen consequences on criminal activity in a seemingly unrelated location thousands of miles away.
Dad Joke: I used to be a shoe salesman but I lost interest in it...solely because I couldn't find the right fit!
As we embark on this scholarly expedition, we are reminded of the importance of embracing the playful unpredictability of scientific inquiry, even in the most unexpected of contexts. In the spirit of curiosity and intellectual levity, our research endeavors to unravel the enigmatic relationship between gasoline consumption in Uruguay and the occurrence of robberies in South Dakota, placing the whimsicality of statistics under the spotlight.
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 Robberies in South Dakota and Gasoline pumped in Uruguay. 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 cite some social media posts you read that seem to be related.
Here is the title and abstract of the paper:
[[TITLE]]
Fueling the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay
[[ABSTRACT]]
This study investigates the often-overlooked relationship between robberies in South Dakota and gasoline pumped in Uruguay, leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration. The analysis reveals a surprisingly strong correlation coefficient of 0.7753464 with p < 0.01 over the period from 1985 to 2021, igniting a spark of curiosity and prompting further exploration into this unexpected connection.
Dad Joke: Did you hear about the thief who stole a calendar? He got twelve months!
Our findings suggest that as gasoline consumption in Uruguay increases, there is a corresponding uptick in the rate of robberies in South Dakota. This intriguing linkage challenges conventional wisdom but aligns with the notion that fueling up in one location may lead to an increased propensity for crime in a geographically distant setting.
Dad Joke: I've been waiting to crack this one - why don't scientists trust atoms? Because they make up everything!
The implications of our study extend beyond mere statistical curiosity, potentially shedding light on the complex interplay between energy markets and criminal behavior across different regions. These results underscore the need for interdisciplinary collaboration in understanding the underlying mechanisms driving such unexpected correlations.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug.
In closing, this research highlights the value of examining unconventional connections and the importance of entertaining seemingly far-fetched hypotheses. As we continue to delve into the intricacies of societal phenomena, we must remain open to the possibility that correlations, no matter how improbable, may hold valuable insights waiting to be uncovered.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The study of seemingly unrelated variables often leads us down unexpected and sometimes convoluted paths. Much like discovering a correlation between the number of robberies in South Dakota and the volume of gasoline pumped in Uruguay. The relationship may seem as obscure as finding a penguin in the Sahara, but the statistical evidence points to a compelling association that demands exploration.
Dad Joke: Why did the statistician drown in the river? Because he mistook it for a confidence interval!
As researchers, we are constantly on the hunt for hidden patterns and unlikely connections, much like hunting for the elusive snipe in the world of statistics. When confronted with a correlation coefficient of 0.7753464 with p < 0.01 between these two distant variables, it's as if the data itself is playing a mischievous game of hide-and-seek with us.
Dad Joke: What do you call a fake noodle? An impasta!
The starting point of this investigation lies in the recognition that statistical exploration can sometimes lead to unexpected and even counterintuitive discoveries. Such as finding that the amount of gasoline being pumped in one corner of the world may have unforeseen consequences on criminal activity in a seemingly unrelated location thousands of miles away.
Dad Joke: I used to be a shoe salesman but I lost interest in it...solely because I couldn't find the right fit!
As we embark on this scholarly expedition, we are reminded of the importance of embracing the playful unpredictability of scientific inquiry, even in the most unexpected of contexts. In the spirit of curiosity and intellectual levity, our research endeavors to unravel the enigmatic relationship between gasoline consumption in Uruguay and the occurrence of robberies in South Dakota, placing the whimsicality of statistics under the spotlight.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "Smith et al. (2019)," the authors find a surprising positive correlation between the volume of gasoline consumed in Uruguay and the incidence of robberies in South Dakota. This unexpected linkage challenges traditional notions of causality and prompts further investigation into the potential mechanisms underlying this association.
Dad Joke: What do you get when you cross a snowman and a vampire? Frostbite.
Furthermore, in "Doe and Johnson (2020)," the researchers delve into the socio-economic factors that may contribute to this peculiar relationship. Their analysis suggests that fluctuations in gasoline prices and consumer purchasing power in Uruguay could exert indirect influences on crime rates in distant locations, paving the way for a novel perspective on transnational criminological dynamics.
Dad Joke: I'm reading a book on anti-gravity. It's impossible to put down.
The literature also points to the intricate interplay of global energy markets and their potential ramifications on criminal behavior. Jones and Smith (2018) argue that the spillover effects of energy consumption in one region can reverberate across geopolitical boundaries, creating ripple effects in seemingly unrelated domains, akin to the unsuspecting connection we observe between South Dakota and Uruguay.
Dad Joke: I told my wife she should do lunges to stay in shape. That would be a big step forward.
Turning to non-fiction works, the seminal writings of "The Oil and Crime Nexus" by John Doe and "Criminality in the Americas" by Jane Smith provide valuable insights into the cross-cutting influences of energy dynamics and criminal activities, offering a foundation for exploring the uncharted territory of our current investigation.
Dad Joke: I bought a ceiling fan the other day. Complete waste of money. He just stands there applauding and saying "Ooh, I love how smooth it is."
In the realm of fiction, Ayn Rand's "Atlas Shrugged" and George Orwell's "1984" serve as metaphorical touchstones, symbolizing the interconnected webs of power, control, and unforeseen consequences that resonate with the uncanny nexus we confront between gasoline consumption in Uruguay and robberies in South Dakota.
Dad Joke: I told my wife she should do burpees to stay in shape. She fell flat.
Social media discourse has also ventured into this obscure alliance, with posts surfacing on platforms such as Twitter and Reddit, drawing attention to the enigmatic correlation between seemingly disparate phenomena. One user quipped, "Who would've thought pumping gas in Uruguay could fuel crime in South Dakota? It's like a global game of cat and mouse, but with petrol and pilferage."
Dad Joke: I used to be a baker, but I couldn't make enough dough.
As we traverse this unconventional terrain of scholarly investigation, we are met with a tapestry of perspectives, from academic treatises to fictional allegories and digital musings, each contributing to the peculiar tapestry of the relationship between robberies in South Dakota and gasoline consumption in Uruguay.
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 Robberies in South Dakota and Gasoline pumped in Uruguay. 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 2021
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Fueling the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay
[[ABSTRACT]]
This study investigates the often-overlooked relationship between robberies in South Dakota and gasoline pumped in Uruguay, leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration. The analysis reveals a surprisingly strong correlation coefficient of 0.7753464 with p < 0.01 over the period from 1985 to 2021, igniting a spark of curiosity and prompting further exploration into this unexpected connection.
Dad Joke: Did you hear about the thief who stole a calendar? He got twelve months!
Our findings suggest that as gasoline consumption in Uruguay increases, there is a corresponding uptick in the rate of robberies in South Dakota. This intriguing linkage challenges conventional wisdom but aligns with the notion that fueling up in one location may lead to an increased propensity for crime in a geographically distant setting.
Dad Joke: I've been waiting to crack this one - why don't scientists trust atoms? Because they make up everything!
The implications of our study extend beyond mere statistical curiosity, potentially shedding light on the complex interplay between energy markets and criminal behavior across different regions. These results underscore the need for interdisciplinary collaboration in understanding the underlying mechanisms driving such unexpected correlations.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug.
In closing, this research highlights the value of examining unconventional connections and the importance of entertaining seemingly far-fetched hypotheses. As we continue to delve into the intricacies of societal phenomena, we must remain open to the possibility that correlations, no matter how improbable, may hold valuable insights waiting to be uncovered.
[[INTRODUCTION]]
The study of seemingly unrelated variables often leads us down unexpected and sometimes convoluted paths. Much like discovering a correlation between the number of robberies in South Dakota and the volume of gasoline pumped in Uruguay. The relationship may seem as obscure as finding a penguin in the Sahara, but the statistical evidence points to a compelling association that demands exploration.
Dad Joke: Why did the statistician drown in the river? Because he mistook it for a confidence interval!
As researchers, we are constantly on the hunt for hidden patterns and unlikely connections, much like hunting for the elusive snipe in the world of statistics. When confronted with a correlation coefficient of 0.7753464 with p < 0.01 between these two distant variables, it's as if the data itself is playing a mischievous game of hide-and-seek with us.
Dad Joke: What do you call a fake noodle? An impasta!
The starting point of this investigation lies in the recognition that statistical exploration can sometimes lead to unexpected and even counterintuitive discoveries. Such as finding that the amount of gasoline being pumped in one corner of the world may have unforeseen consequences on criminal activity in a seemingly unrelated location thousands of miles away.
Dad Joke: I used to be a shoe salesman but I lost interest in it...solely because I couldn't find the right fit!
As we embark on this scholarly expedition, we are reminded of the importance of embracing the playful unpredictability of scientific inquiry, even in the most unexpected of contexts. In the spirit of curiosity and intellectual levity, our research endeavors to unravel the enigmatic relationship between gasoline consumption in Uruguay and the occurrence of robberies in South Dakota, placing the whimsicality of statistics under the spotlight.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the curious correlation between robberies in South Dakota and gasoline consumption in Uruguay, our research team employed a combination of inventive data collection methods and out-of-the-box statistical analyses. As the saying goes, "When in doubt, invent your own methods!"
Dad Joke: Why don’t scientists trust atoms? Because they make up everything!
We scoured the depths of the FBI Criminal Justice Information Services and the Energy Information Administration's databases, wrangling data from 1985 to 2021 with the determination of a treasure hunter seeking the elusive statistical gold. Our data mining expedition braved the perilous seas of internet sources, navigating through the treacherous waters of spreadsheets and databases with the tenacity of intrepid explorers on a quest for rare statistical artifacts.
Dad Joke: Did you hear about the scientist who was lab partners with oxygen and potassium? It was O K!
Harnessing the power of computational wizardry, we meticulously gathered, cleaned, and cross-examined the datasets with the precision of a watchmaker assembling the intricate components of a timepiece. Our data hygiene practices would have made even the fussiest statistician beam with pride, ensuring that our analyses were conducted on the most pristine and trustworthy information available.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug!
Now, onto the statistical sorcery! With the dexterity of a conjurer wielding an enchanting array of mathematical incantations, we whisked the data into our statistical cauldron to brew a potent potion of correlation analysis. The mystical arts of regression and time series analysis were our trusty tools, guiding us through the labyrinthine pathways of statistical inference with the wisdom of ancient mystics.
Dad Joke: I'm reading a book on anti-gravity...it's impossible to put down!
With the alchemical precision of a master craftsman, we summoned the formidable correlation coefficient, revealing the enchanting value of 0.7753464 with p < 0.01 that sparked intrigue and disbelief in equal measure. Our statistical incantations had unveiled a connection deemed by some as improbable as a unicorn at a gas station, yet the evidence stood before us, defying rational explanation and beckoning further scrutiny.
In summary, our methodology blended the audacity of daring adventurers with the exactitude of seasoned statisticians, laying bare the surprising correlation between seemingly disparate variables and casting new light on the enchanting dance of data in the grand theater of scientific inquiry.
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 Robberies in South Dakota and Gasoline pumped in Uruguay. 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 2021, you found a correlation 0.7753464, r-squared of 0.6011621, 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 the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay
[[ABSTRACT]]
This study investigates the often-overlooked relationship between robberies in South Dakota and gasoline pumped in Uruguay, leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration. The analysis reveals a surprisingly strong correlation coefficient of 0.7753464 with p < 0.01 over the period from 1985 to 2021, igniting a spark of curiosity and prompting further exploration into this unexpected connection.
Dad Joke: Did you hear about the thief who stole a calendar? He got twelve months!
Our findings suggest that as gasoline consumption in Uruguay increases, there is a corresponding uptick in the rate of robberies in South Dakota. This intriguing linkage challenges conventional wisdom but aligns with the notion that fueling up in one location may lead to an increased propensity for crime in a geographically distant setting.
Dad Joke: I've been waiting to crack this one - why don't scientists trust atoms? Because they make up everything!
The implications of our study extend beyond mere statistical curiosity, potentially shedding light on the complex interplay between energy markets and criminal behavior across different regions. These results underscore the need for interdisciplinary collaboration in understanding the underlying mechanisms driving such unexpected correlations.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug.
In closing, this research highlights the value of examining unconventional connections and the importance of entertaining seemingly far-fetched hypotheses. As we continue to delve into the intricacies of societal phenomena, we must remain open to the possibility that correlations, no matter how improbable, may hold valuable insights waiting to be uncovered.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The study of seemingly unrelated variables often leads us down unexpected and sometimes convoluted paths. Much like discovering a correlation between the number of robberies in South Dakota and the volume of gasoline pumped in Uruguay. The relationship may seem as obscure as finding a penguin in the Sahara, but the statistical evidence points to a compelling association that demands exploration.
Dad Joke: Why did the statistician drown in the river? Because he mistook it for a confidence interval!
As researchers, we are constantly on the hunt for hidden patterns and unlikely connections, much like hunting for the elusive snipe in the world of statistics. When confronted with a correlation coefficient of 0.7753464 with p < 0.01 between these two distant variables, it's as if the data itself is playing a mischievous game of hide-and-seek with us.
Dad Joke: What do you call a fake noodle? An impasta!
The starting point of this investigation lies in the recognition that statistical exploration can sometimes lead to unexpected and even counterintuitive discoveries. Such as finding that the amount of gasoline being pumped in one corner of the world may have unforeseen consequences on criminal activity in a seemingly unrelated location thousands of miles away.
Dad Joke: I used to be a shoe salesman but I lost interest in it...solely because I couldn't find the right fit!
As we embark on this scholarly expedition, we are reminded of the importance of embracing the playful unpredictability of scientific inquiry, even in the most unexpected of contexts. In the spirit of curiosity and intellectual levity, our research endeavors to unravel the enigmatic relationship between gasoline consumption in Uruguay and the occurrence of robberies in South Dakota, placing the whimsicality of statistics under the spotlight.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The correlation analysis between robberies in South Dakota and gasoline consumption in Uruguay yielded a surprisingly robust correlation coefficient of 0.7753464, with an r-squared value of 0.6011621 and a p-value of less than 0.01. This significant correlation indicates a strong relationship between these seemingly disparate variables, igniting a scientific curiosity as bright as a firecracker. Perhaps it's truly a case of "fueling the fire" in more ways than one!
Dad Joke: What do you call a fake noodle? An impasta! Speaking of impastas, our findings aren't a mistaken identity.
The scatterplot (Fig. 1) visually depicts this striking relationship between robberies in South Dakota and gasoline consumption in Uruguay, as if the data points themselves are conspiring to play a clever jest on our expectations. The strength of this association challenges conventional wisdom, much like a good statistical surprise can challenge traditional thinking within the research community.
Dad Joke: Did you hear about the statistician who went crazy trying to find a correlation between unemployment and frozen vegetables? He suffered from a severe case of peas-correlation!
Our results lead us to question the boundaries of causality and the extent to which seemingly random variables can exert influence on one another. It seems that the old adage of "correlation does not imply causation" may need a bit of fine-tuning in light of these unexpected findings. This correlation invites further investigation into the mechanisms underlying this connection, potentially uncovering a labyrinth of interconnected webs in the world of statistical analysis.
Dad Joke: Parallel lines have so much in common. It's a shame they'll never meet...or will they?
In conclusion, our study's results not only challenge preconceived notions of cause and effect but also emphasize the importance of remaining open to the unexpected and the humorous in scientific exploration. The irony of discovering a link between robberies in the heart of the U.S. and gasoline consumption in a small South American nation serves as a reminder to embrace the delightful unpredictability of statistical inquiry and to remain open to the surprises that lurk within the data.
This wraps up our results section, but not without a statistical joke: Why did the mathematician break up with his girlfriend? Because she had too many problems!
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 Robberies in South Dakota and Gasoline pumped in Uruguay. 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]]
Fueling the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay
[[ABSTRACT]]
This study investigates the often-overlooked relationship between robberies in South Dakota and gasoline pumped in Uruguay, leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration. The analysis reveals a surprisingly strong correlation coefficient of 0.7753464 with p < 0.01 over the period from 1985 to 2021, igniting a spark of curiosity and prompting further exploration into this unexpected connection.
Dad Joke: Did you hear about the thief who stole a calendar? He got twelve months!
Our findings suggest that as gasoline consumption in Uruguay increases, there is a corresponding uptick in the rate of robberies in South Dakota. This intriguing linkage challenges conventional wisdom but aligns with the notion that fueling up in one location may lead to an increased propensity for crime in a geographically distant setting.
Dad Joke: I've been waiting to crack this one - why don't scientists trust atoms? Because they make up everything!
The implications of our study extend beyond mere statistical curiosity, potentially shedding light on the complex interplay between energy markets and criminal behavior across different regions. These results underscore the need for interdisciplinary collaboration in understanding the underlying mechanisms driving such unexpected correlations.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug.
In closing, this research highlights the value of examining unconventional connections and the importance of entertaining seemingly far-fetched hypotheses. As we continue to delve into the intricacies of societal phenomena, we must remain open to the possibility that correlations, no matter how improbable, may hold valuable insights waiting to be uncovered.
[[LITERATURE REVIEW]]
In "Smith et al. (2019)," the authors find a surprising positive correlation between the volume of gasoline consumed in Uruguay and the incidence of robberies in South Dakota. This unexpected linkage challenges traditional notions of causality and prompts further investigation into the potential mechanisms underlying this association.
Dad Joke: What do you get when you cross a snowman and a vampire? Frostbite.
Furthermore, in "Doe and Johnson (2020)," the researchers delve into the socio-economic factors that may contribute to this peculiar relationship. Their analysis suggests that fluctuations in gasoline prices and consumer purchasing power in Uruguay could exert indirect influences on crime rates in distant locations, paving the way for a novel perspective on transnational criminological dynamics.
Dad Joke: I'm reading a book on anti-gravity. It's impossible to put down.
The literature also points to the intricate interplay of global energy markets and their potential ramifications on criminal behavior. Jones and Smith (2018) argue that the spillover effects of energy consumption in one region can reverberate across geopolitical boundaries, creating ripple effects in seemingly unrelated domains, akin to the unsuspecting connection we observe between South Dakota and Uruguay.
Dad Joke: I told my wife she should do lunges to stay in shape. That would be a big step forward.
Turning to non-fiction works, the seminal writings of "The Oil and Crime Nexus" by John Doe and "Criminality in the Americas" by Jane Smith provide valuable insights into the cross-cutting influences of energy dynamics and criminal activities, offering a foundation for exploring the uncharted territory of our current investigation.
Dad Joke: I bought a ceiling fan the other day. Complete waste of money. He just stands there applauding and saying "Ooh, I love how smooth it is."
In the realm of fiction, Ayn Rand's "Atlas Shrugged" and George Orwell's "1984" serve as metaphorical touchstones, symbolizing the interconnected webs of power, control, and unforeseen consequences that resonate with the uncanny nexus we confront between gasoline consumption in Uruguay and robberies in South Dakota.
Dad Joke: I told my wife she should do burpees to stay in shape. She fell flat.
Social media discourse has also ventured into this obscure alliance, with posts surfacing on platforms such as Twitter and Reddit, drawing attention to the enigmatic correlation between seemingly disparate phenomena. One user quipped, "Who would've thought pumping gas in Uruguay could fuel crime in South Dakota? It's like a global game of cat and mouse, but with petrol and pilferage."
Dad Joke: I used to be a baker, but I couldn't make enough dough.
As we traverse this unconventional terrain of scholarly investigation, we are met with a tapestry of perspectives, from academic treatises to fictional allegories and digital musings, each contributing to the peculiar tapestry of the relationship between robberies in South Dakota and gasoline consumption in Uruguay.
[[RESULTS]]
The correlation analysis between robberies in South Dakota and gasoline consumption in Uruguay yielded a surprisingly robust correlation coefficient of 0.7753464, with an r-squared value of 0.6011621 and a p-value of less than 0.01. This significant correlation indicates a strong relationship between these seemingly disparate variables, igniting a scientific curiosity as bright as a firecracker. Perhaps it's truly a case of "fueling the fire" in more ways than one!
Dad Joke: What do you call a fake noodle? An impasta! Speaking of impastas, our findings aren't a mistaken identity.
The scatterplot (Fig. 1) visually depicts this striking relationship between robberies in South Dakota and gasoline consumption in Uruguay, as if the data points themselves are conspiring to play a clever jest on our expectations. The strength of this association challenges conventional wisdom, much like a good statistical surprise can challenge traditional thinking within the research community.
Dad Joke: Did you hear about the statistician who went crazy trying to find a correlation between unemployment and frozen vegetables? He suffered from a severe case of peas-correlation!
Our results lead us to question the boundaries of causality and the extent to which seemingly random variables can exert influence on one another. It seems that the old adage of "correlation does not imply causation" may need a bit of fine-tuning in light of these unexpected findings. This correlation invites further investigation into the mechanisms underlying this connection, potentially uncovering a labyrinth of interconnected webs in the world of statistical analysis.
Dad Joke: Parallel lines have so much in common. It's a shame they'll never meet...or will they?
In conclusion, our study's results not only challenge preconceived notions of cause and effect but also emphasize the importance of remaining open to the unexpected and the humorous in scientific exploration. The irony of discovering a link between robberies in the heart of the U.S. and gasoline consumption in a small South American nation serves as a reminder to embrace the delightful unpredictability of statistical inquiry and to remain open to the surprises that lurk within the data.
This wraps up our results section, but not without a statistical joke: Why did the mathematician break up with his girlfriend? Because she had too many problems!
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The strength of the correlation between robberies in South Dakota and gasoline consumption in Uruguay, as evidenced by our findings, raises eyebrows and sparks a lively scientific debate. It seems that while South Dakota may boast the majestic Mount Rushmore, it also harbors an unexpectedly close connection to the fueling habits of Uruguay, suggesting a curious transnational interplay akin to a statistical tango.
Our results align with the prior research, particularly the work of Smith et al. (2019) and the socioeconomic factors highlighted by Doe and Johnson (2020). The intricate dance between gasoline consumption in Uruguay and the incidence of robberies in South Dakota mirrors the complex ballet of statistics and societal dynamics, waltzing hand in hand to challenge our preconceptions and twirl our understanding of seemingly unrelated variables.
The unexpected linkage uncovered in our study serves as a testament to the serendipitous nature of statistical inquiry and the delightful surprises that emerge from the labyrinth of data analysis. It's as if the laws of correlation and causation decided to engage in a whimsical game of hide-and-seek, leading us to rethink traditional notions and peer into the enigmatic symphony of statistical relationships.
Our research extends the scholarly discourse into uncharted territories, not unlike a scientific expedition navigating unexplored waters. As we navigate the statistical seas, we must remain vigilant for the unexpected treasures that may lie hidden beneath the surface, waiting to be uncovered amidst the playful currents of data analysis.
In pondering the mechanisms underpinning this unexpected correlation, we are reminded of the sage words of Albert Einstein, who stated, "The most beautiful thing we can experience is the mysterious. It is the source of all true art and science." Indeed, our findings beckon us to embrace the enigmatic allure of statistical mysteries and relish the joyous pursuit of understanding the inexplicable quirks of our world.
In sum, our study affirms the value of embracing the unexpected and the humorous in scientific exploration, akin to uncovering a well-concealed punchline within a dense statistical analysis. As we continue to unravel the intricate tapestry of statistical relationships, we must remain open to the whimsical surprises that await us, for in the realm of statistics, as in life, the greatest discoveries often emerge from the most unassuming and unexpected sources.
And speaking of unexpected sources, did you hear about the statistician who used an electric fan to cool down after hot debates? He was truly blowing away his opponents!
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 Robberies in South Dakota and Gasoline pumped in Uruguay. 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]]
Fueling the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay
[[ABSTRACT]]
This study investigates the often-overlooked relationship between robberies in South Dakota and gasoline pumped in Uruguay, leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration. The analysis reveals a surprisingly strong correlation coefficient of 0.7753464 with p < 0.01 over the period from 1985 to 2021, igniting a spark of curiosity and prompting further exploration into this unexpected connection.
Dad Joke: Did you hear about the thief who stole a calendar? He got twelve months!
Our findings suggest that as gasoline consumption in Uruguay increases, there is a corresponding uptick in the rate of robberies in South Dakota. This intriguing linkage challenges conventional wisdom but aligns with the notion that fueling up in one location may lead to an increased propensity for crime in a geographically distant setting.
Dad Joke: I've been waiting to crack this one - why don't scientists trust atoms? Because they make up everything!
The implications of our study extend beyond mere statistical curiosity, potentially shedding light on the complex interplay between energy markets and criminal behavior across different regions. These results underscore the need for interdisciplinary collaboration in understanding the underlying mechanisms driving such unexpected correlations.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug.
In closing, this research highlights the value of examining unconventional connections and the importance of entertaining seemingly far-fetched hypotheses. As we continue to delve into the intricacies of societal phenomena, we must remain open to the possibility that correlations, no matter how improbable, may hold valuable insights waiting to be uncovered.
[[INTRDUCTION]]
The study of seemingly unrelated variables often leads us down unexpected and sometimes convoluted paths. Much like discovering a correlation between the number of robberies in South Dakota and the volume of gasoline pumped in Uruguay. The relationship may seem as obscure as finding a penguin in the Sahara, but the statistical evidence points to a compelling association that demands exploration.
Dad Joke: Why did the statistician drown in the river? Because he mistook it for a confidence interval!
As researchers, we are constantly on the hunt for hidden patterns and unlikely connections, much like hunting for the elusive snipe in the world of statistics. When confronted with a correlation coefficient of 0.7753464 with p < 0.01 between these two distant variables, it's as if the data itself is playing a mischievous game of hide-and-seek with us.
Dad Joke: What do you call a fake noodle? An impasta!
The starting point of this investigation lies in the recognition that statistical exploration can sometimes lead to unexpected and even counterintuitive discoveries. Such as finding that the amount of gasoline being pumped in one corner of the world may have unforeseen consequences on criminal activity in a seemingly unrelated location thousands of miles away.
Dad Joke: I used to be a shoe salesman but I lost interest in it...solely because I couldn't find the right fit!
As we embark on this scholarly expedition, we are reminded of the importance of embracing the playful unpredictability of scientific inquiry, even in the most unexpected of contexts. In the spirit of curiosity and intellectual levity, our research endeavors to unravel the enigmatic relationship between gasoline consumption in Uruguay and the occurrence of robberies in South Dakota, placing the whimsicality of statistics under the spotlight.
[[RESULTS]]
The correlation analysis between robberies in South Dakota and gasoline consumption in Uruguay yielded a surprisingly robust correlation coefficient of 0.7753464, with an r-squared value of 0.6011621 and a p-value of less than 0.01. This significant correlation indicates a strong relationship between these seemingly disparate variables, igniting a scientific curiosity as bright as a firecracker. Perhaps it's truly a case of "fueling the fire" in more ways than one!
Dad Joke: What do you call a fake noodle? An impasta! Speaking of impastas, our findings aren't a mistaken identity.
The scatterplot (Fig. 1) visually depicts this striking relationship between robberies in South Dakota and gasoline consumption in Uruguay, as if the data points themselves are conspiring to play a clever jest on our expectations. The strength of this association challenges conventional wisdom, much like a good statistical surprise can challenge traditional thinking within the research community.
Dad Joke: Did you hear about the statistician who went crazy trying to find a correlation between unemployment and frozen vegetables? He suffered from a severe case of peas-correlation!
Our results lead us to question the boundaries of causality and the extent to which seemingly random variables can exert influence on one another. It seems that the old adage of "correlation does not imply causation" may need a bit of fine-tuning in light of these unexpected findings. This correlation invites further investigation into the mechanisms underlying this connection, potentially uncovering a labyrinth of interconnected webs in the world of statistical analysis.
Dad Joke: Parallel lines have so much in common. It's a shame they'll never meet...or will they?
In conclusion, our study's results not only challenge preconceived notions of cause and effect but also emphasize the importance of remaining open to the unexpected and the humorous in scientific exploration. The irony of discovering a link between robberies in the heart of the U.S. and gasoline consumption in a small South American nation serves as a reminder to embrace the delightful unpredictability of statistical inquiry and to remain open to the surprises that lurk within the data.
This wraps up our results section, but not without a statistical joke: Why did the mathematician break up with his girlfriend? Because she had too many problems!
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In our investigation of the association between robberies in South Dakota and gasoline consumption in Uruguay, we unveiled a connection as unexpected as finding a penguin in the Sahara. The robust correlation coefficient of 0.7753464, with a p-value of less than 0.01, suggests a compelling relationship between these seemingly disparate variables. It seems that in the grand scheme of statistical quirks, this unlikely pairing merits further attention.
Dad Joke: What do you call a fish wearing a crown? A king fish!
As we reflect on our findings, it becomes clear that statistical analysis can transform even the most peculiar connections into valuable insights. Much like a cleverly disguised dad joke, this correlation keeps us on our toes and challenges our assumptions about the boundaries of data associations. This unexpected relationship between distant occurrences serves as a gentle reminder to remain ever vigilant for statistical surprises lurking within the numbers.
Dad Joke: Parallel lines have so much in common. It's a shame they'll never meet...or will they?
In the spirit of scientific inquiry and lighthearted intellectual curiosity, we assert that no further research is needed in this area. Not because we've exhausted all possibilities, but because some statistical mysteries are best left to spark the imagination and elicit a wry smile, much like a good dad joke. Sometimes, in the world of statistics, the unlikeliest of correlations can illuminate the path to new realms of understanding and humor.
Dad Joke: My wife told me to stop impersonating a flamingo. I had to put my foot down.
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 the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay. Respond only with the name of a fictional academic journal.
ChatGPT:
The International Journal of Cross-Cultural Criminology
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 the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Transnational Comparative Research Analysis (STCRA)
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 the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay with an abstract of This study investigates the often-overlooked relationship between robberies in South Dakota and gasoline pumped in Uruguay, leveraging data from the FBI Criminal Justice Information Services and the Energy Information Administration. The analysis reveals a surprisingly strong correlation coefficient of 0.7753464 with p < 0.01 over the period from 1985 to 2021, igniting a spark of curiosity and prompting further exploration into this unexpected connection.
Dad Joke: Did you hear about the thief who stole a calendar? He got twelve months!
Our findings suggest that as gasoline consumption in Uruguay increases, there is a corresponding uptick in the rate of robberies in South Dakota. This intriguing linkage challenges conventional wisdom but aligns with the notion that fueling up in one location may lead to an increased propensity for crime in a geographically distant setting.
Dad Joke: I've been waiting to crack this one - why don't scientists trust atoms? Because they make up everything!
The implications of our study extend beyond mere statistical curiosity, potentially shedding light on the complex interplay between energy markets and criminal behavior across different regions. These results underscore the need for interdisciplinary collaboration in understanding the underlying mechanisms driving such unexpected correlations.
Dad Joke: I told my wife she should embrace her mistakes. She gave me a hug.
In closing, this research highlights the value of examining unconventional connections and the importance of entertaining seemingly far-fetched hypotheses. As we continue to delve into the intricacies of societal phenomena, we must remain open to the possibility that correlations, no matter how improbable, may hold valuable insights waiting to be uncovered.
ChatGPT:
robberies, South Dakota, gasoline consumption, Uruguay, correlation, FBI Criminal Justice Information Services, Energy Information Administration, statistical analysis, interdisciplinary collaboration, energy markets, criminal behavior, unconventional connections, societal phenomena
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Robberies in South DakotaDetailed data title: The robbery rate per 100,000 residents in South Dakota
Source: FBI Criminal Justice Information Services
See what else correlates with Robberies in South Dakota
Gasoline pumped in Uruguay
Detailed data title: Volume of gasoline pumped consumed in Uruguay in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Gasoline pumped in Uruguay
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 = 0.6011621 (Coefficient of determination)
This means 60.1% of the change in the one variable (i.e., Gasoline pumped in Uruguay) is predictable based on the change in the other (i.e., Robberies in South Dakota) over the 37 years from 1985 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.8E-8. 0.0000000175292224920891330000
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 0.78 in 1.8E-6% of random cases. Said differently, if you correlated 57,047,596 random variables You don't actually need 57 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 36 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 36 because we have two variables measured over a period of 37 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.6, 0.88 ] 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 | |
| Robberies in South Dakota (Robbery rate) | 17.1 | 16.2 | 12.3 | 12.2 | 11.7 | 12.4 | 18.8 | 16.9 | 15 | 18.7 | 25.9 | 18.9 | 23.3 | 20.2 | 14 | 17.4 | 13.6 | 15.4 | 13.6 | 14.5 | 18.7 | 20.2 | 14.8 | 16.7 | 14.4 | 18.9 | 20.3 | 18.8 | 18.5 | 23.3 | 25.1 | 31.8 | 30.2 | 25.3 | 21.4 | 30.7 | 19.6 |
| Gasoline pumped in Uruguay (Million Barrels/Day) | 4.41026 | 4.3 | 4.8 | 5.1 | 5.3 | 5.1 | 5.4 | 6 | 6.7 | 7.7 | 7 | 8.5 | 8.9 | 8.1 | 8.1 | 6.43246 | 6.45008 | 5.37507 | 4.90767 | 5.15063 | 5.18811 | 5.44518 | 6.05279 | 6.87527 | 7.24466 | 9.2311 | 10.3061 | 11.1869 | 11.9887 | 12.6898 | 14 | 15 | 14.723 | 13.6947 | 13.8116 | 12.5964 | 12.7132 |
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([17.1,16.2,12.3,12.2,11.7,12.4,18.8,16.9,15,18.7,25.9,18.9,23.3,20.2,14,17.4,13.6,15.4,13.6,14.5,18.7,20.2,14.8,16.7,14.4,18.9,20.3,18.8,18.5,23.3,25.1,31.8,30.2,25.3,21.4,30.7,19.6,])
array_2 = np.array([4.41026,4.3,4.8,5.1,5.3,5.1,5.4,6,6.7,7.7,7,8.5,8.9,8.1,8.1,6.43246,6.45008,5.37507,4.90767,5.15063,5.18811,5.44518,6.05279,6.87527,7.24466,9.2311,10.3061,11.1869,11.9887,12.6898,14,15,14.723,13.6947,13.8116,12.5964,12.7132,])
array_1_name = "Robberies in South Dakota"
array_2_name = "Gasoline pumped in Uruguay"
# 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
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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 Robberies in South Dakota
- Line chart for only Gasoline pumped in Uruguay
- AI-generated correlation image
- The spurious research paper: Fueling the Fire: Examining the Correlation Between Robberies in South Dakota and Gasoline Consumption in Uruguay
Your correlation rating is out of this world!
Correlation ID: 3949 · Black Variable ID: 20217 · Red Variable ID: 25056
