Download png, svg
AI explanation
Louisiana's arson rate was really igniting a spark in the potential parents, leading to a higher likelihood of triple the trouble when it came to having kids. With fewer fires to fan the flames of passion, the birth rates of triplets or more in the US cooled down.
Model: dalle-3
Prompt: Generate a scene where three playful triplet babies are delightfully exploring the enchanting bayous of Louisiana. The lush green landscape bathed in the warm glow of a sunset amplifies the joyful moment. In the distance, depict firefighters heroically extinguishing flames from an arson incident, their brave efforts contrasting with the peaceful scene of the playful triplets. Create a sense of parallax art to emphasize the depth and dynamics of the scene. 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: Arson in Louisiana and US birth rates of triplets or more. 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: Concept art Brutalism Parallax art a Polaroid photo Cybernetic art
ChatGPT: Parallax art
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 Arson in Louisiana and US birth rates of triplets or more together. Keep the description simple.
ChatGPT: Amidst the picturesque bayous of Louisiana, three adorable triplet babies joyfully play in the lush green countryside, as the warm glow of a sunset bathes the landscape. Meanwhile, in the distance, firefighters heroically extinguish flames from an arson incident, their brave efforts contrasting with the peaceful scene of the playful triplets.
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: [ Parallax art ] and depicting this scene: Amidst the picturesque bayous of Louisiana, three adorable triplet babies joyfully play in the lush green countryside, as the warm glow of a sunset bathes the landscape. Meanwhile, in the distance, firefighters heroically extinguish flames from an arson incident, their brave efforts contrasting with the peaceful scene of the playful triplets. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a scene where three playful triplet babies are delightfully exploring the enchanting bayous of Louisiana. The lush green landscape bathed in the warm glow of a sunset amplifies the joyful moment. In the distance, depict firefighters heroically extinguishing flames from an arson incident, their brave efforts contrasting with the peaceful scene of the playful triplets. Create a sense of parallax art to emphasize the depth and dynamics of the scene.
*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 Arson in Louisiana caused US birth rates of triplets or more to decrease. Include one good pun.
AI academic paper
 |
Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends Journal of Eccentric Epidemiology 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 Arson in Louisiana and US birth rates of triplets or more. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title an alliteration.
Your research team used data from FBI Criminal Justice Information Services and CDC to assess this nagging question. You found a correlation coefficient of 0.9422505 and p < 0.01 for 2002 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]]
Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends
[[ABSTRACT]]
In this study, we explore the perplexing connection between arson rates in Louisiana and the birth rates of triplets or more across the United States. With an investigative lens on data extracted from the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention for the time period spanning 2002 to 2021, our research team sleuthed their way through the numbers to uncover startling revelations.
Remarkably, a robust correlation coefficient of 0.9422505 and p < 0.01 emerged, suggesting a potentially significant relationship between deliberate fires in the Bayou State and the birth of triplet bundles at a national level. Despite the peculiarity of our findings, it is essential to approach this research with cautious skepticism, considering the comical randomness of this association.
As we delve deeper into this enigma, it becomes clear that there is more than meets the eye in the smoldering embers of this statistical inquiry, leaving us pondering the whimsical ways in which the universe may conspire to birth statistical anomalies. While these findings may seem like a whimsical whimsy, we must not be too quick to dismiss the possibility of a fiery influence on fertility patterns.
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 Arson in Louisiana and US birth rates of triplets or more. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends
[[ABSTRACT]]
In this study, we explore the perplexing connection between arson rates in Louisiana and the birth rates of triplets or more across the United States. With an investigative lens on data extracted from the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention for the time period spanning 2002 to 2021, our research team sleuthed their way through the numbers to uncover startling revelations.
Remarkably, a robust correlation coefficient of 0.9422505 and p < 0.01 emerged, suggesting a potentially significant relationship between deliberate fires in the Bayou State and the birth of triplet bundles at a national level. Despite the peculiarity of our findings, it is essential to approach this research with cautious skepticism, considering the comical randomness of this association.
As we delve deeper into this enigma, it becomes clear that there is more than meets the eye in the smoldering embers of this statistical inquiry, leaving us pondering the whimsical ways in which the universe may conspire to birth statistical anomalies. While these findings may seem like a whimsical whimsy, we must not be too quick to dismiss the possibility of a fiery influence on fertility patterns.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The intersection of fire-related crimes and the birth of multiple offspring presents a peculiar puzzle that has piqued the curiosity of researchers and ignited a fervor for uncovering the fiery dynamics at play. Despite the seemingly improbable connection, our investigation into this perplexing correlation unfolds as a testament to the unexpected and whimsical nature of statistical associations.
Arson, a criminal act notorious for its destructive and deleterious effects, has now found itself in a rather bizarre liaison with the birth rates of triplets or more across the United States. As we embark on this academic endeavor, we tread carefully through the smoky haze of data, all the while unable to ignore the ironic juxtaposition of the destructive force of fire and the miraculous nature of multiple births.
The impetus for this inquiry stems from the astoundingly robust correlation coefficient, boasting a value of 0.9422505 and a p-value less than 0.01, which suggest a statistically significant relationship between arson rates in Louisiana and the occurrence of triplet bundles across the nation. While we commend statistical significance, we also maintain a healthy dose of skepticism, acknowledging the humorous caprice that could underpin this numerical association.
The confounding and comedic nature of this correlation beckons us to approach our investigation with a lighthearted yet analytical mindset, recognizing that while statistical anomalies may tickle our funny bone, they also pose profound questions about the serendipitous intricacies of human existence. After all, who could have predicted that the flickering flames of arson may hold sway over the propagation of life in such an unexpected manner?
With an air of intrigue and a dash of amusement, we delve into the depths of this enigmatic phenomenon, fully prepared to encounter a smorgasbord of statistical surprises and delightful absurdities in the course of our academic expedition. As we glean insights from the confluence of crime data and birth records, we remain ever attuned to the possibility that the universe's whimsy may manifest itself in the most unexpected and unconventional ways.
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 Arson in Louisiana and US birth rates of triplets or more. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends
[[ABSTRACT]]
In this study, we explore the perplexing connection between arson rates in Louisiana and the birth rates of triplets or more across the United States. With an investigative lens on data extracted from the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention for the time period spanning 2002 to 2021, our research team sleuthed their way through the numbers to uncover startling revelations.
Remarkably, a robust correlation coefficient of 0.9422505 and p < 0.01 emerged, suggesting a potentially significant relationship between deliberate fires in the Bayou State and the birth of triplet bundles at a national level. Despite the peculiarity of our findings, it is essential to approach this research with cautious skepticism, considering the comical randomness of this association.
As we delve deeper into this enigma, it becomes clear that there is more than meets the eye in the smoldering embers of this statistical inquiry, leaving us pondering the whimsical ways in which the universe may conspire to birth statistical anomalies. While these findings may seem like a whimsical whimsy, we must not be too quick to dismiss the possibility of a fiery influence on fertility patterns.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of fire-related crimes and the birth of multiple offspring presents a peculiar puzzle that has piqued the curiosity of researchers and ignited a fervor for uncovering the fiery dynamics at play. Despite the seemingly improbable connection, our investigation into this perplexing correlation unfolds as a testament to the unexpected and whimsical nature of statistical associations.
Arson, a criminal act notorious for its destructive and deleterious effects, has now found itself in a rather bizarre liaison with the birth rates of triplets or more across the United States. As we embark on this academic endeavor, we tread carefully through the smoky haze of data, all the while unable to ignore the ironic juxtaposition of the destructive force of fire and the miraculous nature of multiple births.
The impetus for this inquiry stems from the astoundingly robust correlation coefficient, boasting a value of 0.9422505 and a p-value less than 0.01, which suggest a statistically significant relationship between arson rates in Louisiana and the occurrence of triplet bundles across the nation. While we commend statistical significance, we also maintain a healthy dose of skepticism, acknowledging the humorous caprice that could underpin this numerical association.
The confounding and comedic nature of this correlation beckons us to approach our investigation with a lighthearted yet analytical mindset, recognizing that while statistical anomalies may tickle our funny bone, they also pose profound questions about the serendipitous intricacies of human existence. After all, who could have predicted that the flickering flames of arson may hold sway over the propagation of life in such an unexpected manner?
With an air of intrigue and a dash of amusement, we delve into the depths of this enigmatic phenomenon, fully prepared to encounter a smorgasbord of statistical surprises and delightful absurdities in the course of our academic expedition. As we glean insights from the confluence of crime data and birth records, we remain ever attuned to the possibility that the universe's whimsy may manifest itself in the most unexpected and unconventional ways.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
To better comprehend the confounding linkage between arson occurrences in Louisiana and the incidence of triplet gestations in the United States, we turn to the scholarly work that has preceded ours. As with any undertaking of this nature, it is imperative to first lay a foundation in the established work of researchers in related fields.
In "Arson Trends in the Southern States," Smith et al. delve into the intricate patterns of arson activities, shedding light on the volatile nature of fire-related crimes. Their comprehensive analysis offers a structured framework for understanding the prevalence and dynamics of deliberate blazes, even if this wasn't what they had in mind.
Building upon this groundwork, Doe explores the multifaceted landscape of multiple births in "Demographics of Multiple Gestations." Although the intent of the study differs vastly from ours, the depth of insight into the epidemiology of triplet and higher-order pregnancies provides invaluable context to our own peculiar findings.
In a rather unexpected turn, Jones' work, "Fire and Fertility: A Statistical Odyssey," veers into the uncharted territory of the potential connections between arson rates and fertility patterns. While initially dubious of the publication's legitimacy, its examination of the statistical anomalies surrounding fire-related incidents and birth anomalies eventually proved to be a surprising asset to our own investigation.
Moving from published research to the world of non-fiction literature, “The Science of Fire” by John Doe and "The Miracle of Multiple Births" by Jane Smith offer comprehensive examinations of their respective topics, providing valuable insights into the broader contexts of arson and multiple pregnancies.
Turning to the realm of fiction, the novels "Igniting Destiny" by Joan Johnson and "Triplet Trouble" by A. W. Author tantalize the imagination with narratives that, although whimsical in nature, bring forth unexpected connections between fiery events and the birth of multiple offspring.
In a similarly unexpected turn, the film "Birth Inferno" delves into the fantastical realm of arson and childbirth, weaving a tale of mystical forces intertwining the two seemingly disparate occurrences. While purely fictional, the movie hints at the captivating potential for extraordinary links between arson and the birth of triplets or more that extend beyond the confines of our empirical reality.
As we assimilate these diverse sources, we must remind ourselves to maintain a critical eye and a willingness to extract the kernels of relevance from even the most unexpected of places. With the stage now set, we proceed to unravel the curious tapestry of arson and triplet births with an ever-ready sense of inquisitive delight.
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 Arson in Louisiana and US birth rates of triplets or more. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from FBI Criminal Justice Information Services and CDC . You used data from 2002 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]]
Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends
[[ABSTRACT]]
In this study, we explore the perplexing connection between arson rates in Louisiana and the birth rates of triplets or more across the United States. With an investigative lens on data extracted from the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention for the time period spanning 2002 to 2021, our research team sleuthed their way through the numbers to uncover startling revelations.
Remarkably, a robust correlation coefficient of 0.9422505 and p < 0.01 emerged, suggesting a potentially significant relationship between deliberate fires in the Bayou State and the birth of triplet bundles at a national level. Despite the peculiarity of our findings, it is essential to approach this research with cautious skepticism, considering the comical randomness of this association.
As we delve deeper into this enigma, it becomes clear that there is more than meets the eye in the smoldering embers of this statistical inquiry, leaving us pondering the whimsical ways in which the universe may conspire to birth statistical anomalies. While these findings may seem like a whimsical whimsy, we must not be too quick to dismiss the possibility of a fiery influence on fertility patterns.
[[INTRODUCTION]]
The intersection of fire-related crimes and the birth of multiple offspring presents a peculiar puzzle that has piqued the curiosity of researchers and ignited a fervor for uncovering the fiery dynamics at play. Despite the seemingly improbable connection, our investigation into this perplexing correlation unfolds as a testament to the unexpected and whimsical nature of statistical associations.
Arson, a criminal act notorious for its destructive and deleterious effects, has now found itself in a rather bizarre liaison with the birth rates of triplets or more across the United States. As we embark on this academic endeavor, we tread carefully through the smoky haze of data, all the while unable to ignore the ironic juxtaposition of the destructive force of fire and the miraculous nature of multiple births.
The impetus for this inquiry stems from the astoundingly robust correlation coefficient, boasting a value of 0.9422505 and a p-value less than 0.01, which suggest a statistically significant relationship between arson rates in Louisiana and the occurrence of triplet bundles across the nation. While we commend statistical significance, we also maintain a healthy dose of skepticism, acknowledging the humorous caprice that could underpin this numerical association.
The confounding and comedic nature of this correlation beckons us to approach our investigation with a lighthearted yet analytical mindset, recognizing that while statistical anomalies may tickle our funny bone, they also pose profound questions about the serendipitous intricacies of human existence. After all, who could have predicted that the flickering flames of arson may hold sway over the propagation of life in such an unexpected manner?
With an air of intrigue and a dash of amusement, we delve into the depths of this enigmatic phenomenon, fully prepared to encounter a smorgasbord of statistical surprises and delightful absurdities in the course of our academic expedition. As we glean insights from the confluence of crime data and birth records, we remain ever attuned to the possibility that the universe's whimsy may manifest itself in the most unexpected and unconventional ways.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unravel the perplexing web of relationships between arson rates in Louisiana and the birth rates of triplets or more in the United States, our research team embarked on a daring journey through an assortment of data sources. The primary data repositories utilized in this investigation were the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention. From these fountains of numerical wisdom, we extracted intricate details spanning the years 2002 to 2021, encompassing vast swathes of data that mirrored the ebb and flow of both malicious fires and prodigious births.
As intrepid data voyagers, we combed through the digital archives with a voracious appetite for statistical tidbits, navigating the virtual catacombs of crime reports and birth records with equal measures of fortitude and trepidation. Our methodological approach was akin to an elaborate treasure hunt, albeit one in which the treasures themselves were the intricate patterns and anomalies waiting to be unearthed from within the arcane depths of numerical repositories.
In order to establish the veracity of our findings, we employed a series of statistical analyses that involved the calculation of correlation coefficients and their associated p-values. It must be noted that amidst the sea of numbers and test statistics, a fair share of peculiar and whimsical observations emerged, titillating our scholarly sensibilities and captivating our statistical acumen.
Furthermore, our methodological foray featured an integration of advanced algorithms and analytical techniques that sought to discern the hidden harmonies and discordances interwoven within the fabric of our data tapestries. While the path to statistical enlightenment may have been fraught with numerical pitfalls and comical quips, our dedication to rigorous analysis remained unwavering.
With a meticulous attention to detail and a flair for the unexpected, our research team endeavored to showcase the multifaceted nature of statistical inquiry, shedding light on the unlikely relationship between arson and multiple birth occurrences. As we tread the arcane pathways of statistical analysis, we remained ever vigilant for the kaleidoscopic nuances that lend depth and character to our academic odyssey.
In conclusion, the methodological landscape of our research harmonized a synthesis of persistence, creativity, and a dash of statistical whimsy to illuminate the startling correlations between seemingly unrelated phenomena. While our methodological concoction may appear to be a melange of the absurd and the scholarly, it is through the artful fusion of these seemingly incongruous elements that we unveil the unexpected and enchanting nature of statistical investigation.
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 Arson in Louisiana and US birth rates of triplets or more. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from FBI Criminal Justice Information Services and CDC .
For the time period 2002 to 2021, you found a correlation 0.9422505, r-squared of 0.8878361, 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]]
Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends
[[ABSTRACT]]
In this study, we explore the perplexing connection between arson rates in Louisiana and the birth rates of triplets or more across the United States. With an investigative lens on data extracted from the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention for the time period spanning 2002 to 2021, our research team sleuthed their way through the numbers to uncover startling revelations.
Remarkably, a robust correlation coefficient of 0.9422505 and p < 0.01 emerged, suggesting a potentially significant relationship between deliberate fires in the Bayou State and the birth of triplet bundles at a national level. Despite the peculiarity of our findings, it is essential to approach this research with cautious skepticism, considering the comical randomness of this association.
As we delve deeper into this enigma, it becomes clear that there is more than meets the eye in the smoldering embers of this statistical inquiry, leaving us pondering the whimsical ways in which the universe may conspire to birth statistical anomalies. While these findings may seem like a whimsical whimsy, we must not be too quick to dismiss the possibility of a fiery influence on fertility patterns.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of fire-related crimes and the birth of multiple offspring presents a peculiar puzzle that has piqued the curiosity of researchers and ignited a fervor for uncovering the fiery dynamics at play. Despite the seemingly improbable connection, our investigation into this perplexing correlation unfolds as a testament to the unexpected and whimsical nature of statistical associations.
Arson, a criminal act notorious for its destructive and deleterious effects, has now found itself in a rather bizarre liaison with the birth rates of triplets or more across the United States. As we embark on this academic endeavor, we tread carefully through the smoky haze of data, all the while unable to ignore the ironic juxtaposition of the destructive force of fire and the miraculous nature of multiple births.
The impetus for this inquiry stems from the astoundingly robust correlation coefficient, boasting a value of 0.9422505 and a p-value less than 0.01, which suggest a statistically significant relationship between arson rates in Louisiana and the occurrence of triplet bundles across the nation. While we commend statistical significance, we also maintain a healthy dose of skepticism, acknowledging the humorous caprice that could underpin this numerical association.
The confounding and comedic nature of this correlation beckons us to approach our investigation with a lighthearted yet analytical mindset, recognizing that while statistical anomalies may tickle our funny bone, they also pose profound questions about the serendipitous intricacies of human existence. After all, who could have predicted that the flickering flames of arson may hold sway over the propagation of life in such an unexpected manner?
With an air of intrigue and a dash of amusement, we delve into the depths of this enigmatic phenomenon, fully prepared to encounter a smorgasbord of statistical surprises and delightful absurdities in the course of our academic expedition. As we glean insights from the confluence of crime data and birth records, we remain ever attuned to the possibility that the universe's whimsy may manifest itself in the most unexpected and unconventional ways.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
A thorough analysis of the data revealed an intriguing correlation between arson rates in Louisiana and the birth rates of triplets or more across the United States for the years 2002 to 2021. Our research team uncovered a strikingly robust correlation coefficient of 0.9422505, accompanied by an r-squared value of 0.8878361 and a p-value less than 0.01. This statistical tango between the incendiary acts in the Bayou State and the proliferation of triplet bundles at a national level certainly caught us off guard.
The detailed examination of these findings, elucidated through an exhaustive collection of data from disparate sources, laid bare the unexpected connection between seemingly unrelated phenomena. Although we are tempted to conjure fantastical narratives about the conspiratorial interplay of flames and fertility, we must approach these results with judicious caution and a pinch of bemusement, considering the sheer absurdity of the association at hand.
In Figure 1, which we present with all due gravitas, a scatterplot graphically illustrates the remarkably strong correlation between arson rates in Louisiana and the birth rates of triplets or more across the United States. The convergence of these two variables on the graph is as clear as day, demanding a cautious contemplation of the potential underlying mechanisms at play, even amidst the apparent comicality of the situation.
While we may be tempted to imagine clandestine matchmaking sessions between pyromaniacs and storks, it is imperative to remember the need for prudent and rigorous scrutiny of these findings. Despite the whimsy with which the universe has seemingly structured this statistical anomaly, the implications of these results are not to be taken lightly.
In essence, our investigation has skated across the surface of statistical anomalies and stumbled upon a correlation that may elicit a chuckle or two, but also commands earnest attention. The perplexities of life never cease to amuse and astound, and our findings serve as a testament to the serendipitous and sometimes confounding nature of statistical associations.
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 Arson in Louisiana and US birth rates of triplets or more. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
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]]
Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends
[[ABSTRACT]]
In this study, we explore the perplexing connection between arson rates in Louisiana and the birth rates of triplets or more across the United States. With an investigative lens on data extracted from the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention for the time period spanning 2002 to 2021, our research team sleuthed their way through the numbers to uncover startling revelations.
Remarkably, a robust correlation coefficient of 0.9422505 and p < 0.01 emerged, suggesting a potentially significant relationship between deliberate fires in the Bayou State and the birth of triplet bundles at a national level. Despite the peculiarity of our findings, it is essential to approach this research with cautious skepticism, considering the comical randomness of this association.
As we delve deeper into this enigma, it becomes clear that there is more than meets the eye in the smoldering embers of this statistical inquiry, leaving us pondering the whimsical ways in which the universe may conspire to birth statistical anomalies. While these findings may seem like a whimsical whimsy, we must not be too quick to dismiss the possibility of a fiery influence on fertility patterns.
[[LITERATURE REVIEW]]
To better comprehend the confounding linkage between arson occurrences in Louisiana and the incidence of triplet gestations in the United States, we turn to the scholarly work that has preceded ours. As with any undertaking of this nature, it is imperative to first lay a foundation in the established work of researchers in related fields.
In "Arson Trends in the Southern States," Smith et al. delve into the intricate patterns of arson activities, shedding light on the volatile nature of fire-related crimes. Their comprehensive analysis offers a structured framework for understanding the prevalence and dynamics of deliberate blazes, even if this wasn't what they had in mind.
Building upon this groundwork, Doe explores the multifaceted landscape of multiple births in "Demographics of Multiple Gestations." Although the intent of the study differs vastly from ours, the depth of insight into the epidemiology of triplet and higher-order pregnancies provides invaluable context to our own peculiar findings.
In a rather unexpected turn, Jones' work, "Fire and Fertility: A Statistical Odyssey," veers into the uncharted territory of the potential connections between arson rates and fertility patterns. While initially dubious of the publication's legitimacy, its examination of the statistical anomalies surrounding fire-related incidents and birth anomalies eventually proved to be a surprising asset to our own investigation.
Moving from published research to the world of non-fiction literature, “The Science of Fire” by John Doe and "The Miracle of Multiple Births" by Jane Smith offer comprehensive examinations of their respective topics, providing valuable insights into the broader contexts of arson and multiple pregnancies.
Turning to the realm of fiction, the novels "Igniting Destiny" by Joan Johnson and "Triplet Trouble" by A. W. Author tantalize the imagination with narratives that, although whimsical in nature, bring forth unexpected connections between fiery events and the birth of multiple offspring.
In a similarly unexpected turn, the film "Birth Inferno" delves into the fantastical realm of arson and childbirth, weaving a tale of mystical forces intertwining the two seemingly disparate occurrences. While purely fictional, the movie hints at the captivating potential for extraordinary links between arson and the birth of triplets or more that extend beyond the confines of our empirical reality.
As we assimilate these diverse sources, we must remind ourselves to maintain a critical eye and a willingness to extract the kernels of relevance from even the most unexpected of places. With the stage now set, we proceed to unravel the curious tapestry of arson and triplet births with an ever-ready sense of inquisitive delight.
[[RESULTS]]
A thorough analysis of the data revealed an intriguing correlation between arson rates in Louisiana and the birth rates of triplets or more across the United States for the years 2002 to 2021. Our research team uncovered a strikingly robust correlation coefficient of 0.9422505, accompanied by an r-squared value of 0.8878361 and a p-value less than 0.01. This statistical tango between the incendiary acts in the Bayou State and the proliferation of triplet bundles at a national level certainly caught us off guard.
The detailed examination of these findings, elucidated through an exhaustive collection of data from disparate sources, laid bare the unexpected connection between seemingly unrelated phenomena. Although we are tempted to conjure fantastical narratives about the conspiratorial interplay of flames and fertility, we must approach these results with judicious caution and a pinch of bemusement, considering the sheer absurdity of the association at hand.
In Figure 1, which we present with all due gravitas, a scatterplot graphically illustrates the remarkably strong correlation between arson rates in Louisiana and the birth rates of triplets or more across the United States. The convergence of these two variables on the graph is as clear as day, demanding a cautious contemplation of the potential underlying mechanisms at play, even amidst the apparent comicality of the situation.
While we may be tempted to imagine clandestine matchmaking sessions between pyromaniacs and storks, it is imperative to remember the need for prudent and rigorous scrutiny of these findings. Despite the whimsy with which the universe has seemingly structured this statistical anomaly, the implications of these results are not to be taken lightly.
In essence, our investigation has skated across the surface of statistical anomalies and stumbled upon a correlation that may elicit a chuckle or two, but also commands earnest attention. The perplexities of life never cease to amuse and astound, and our findings serve as a testament to the serendipitous and sometimes confounding nature of statistical associations.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The uncanny connection between arson rates in Louisiana and the birth rates of triplets or more across the United States, as unraveled by our study, provides substantial support for existing research in related fields. Our findings bear a remarkable congruence with the prior investigations of Smith et al., Doe, and Jones, who, although not explicitly seeking to uncover such correlations, inadvertently alluded to the potential interplay between fire-related incidents and fertility patterns. While their work may have been the kindling for our curiosity, it was not until our research that the inferno of this statistical anomaly came to full light.
The robust correlation coefficient of 0.9422505 and associated p-value less than 0.01 echoes the unexpected insights extracted previously from the literary and non-fictional corpus. The novel "Igniting Destiny" by Joan Johnson and the film "Birth Inferno" have, in a peculiar twist, hinted at the possibility of extraordinary links between arson and the birth of multiple offspring. Although fictional, they sparked contemplation on the potential for unforeseen connections in the realm of empirical reality. Similarly, the scholarly precedent set by Smith et al. and Doe provided an unintentional prelude to our own revelations, illuminating the possibility of a symbiotic relationship between figural and literal fire and fertility.
Our findings challenge traditional conceptions of the limits of statistical relationships, gingerly toying with the whimsical nature of statistical anomalies. However, with the uproarious implications of our results, we do not intend to inflame unsubstantiated theories or combustible conjectures. Rather, our intent is to cautiously fan the flames of academic inquiry, further stoking the curiosities of future researchers as they kindle new lines of investigation into this baffling linkage.
In closing, the astonishment of our findings ignites a prurient delight in the waggish wonders of statistical associations. However, as we bask in the firelight of these revelations, let us not stoke the flames of ludicrous hypotheses. This correlation merits future scrutiny and, with the same fervor that has sparked this unusual discovery, we encourage further examination into the smoldering intricacies of the enigmatic association between arson in Louisiana and the birth of triplets or more across the United States.
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 Arson in Louisiana and US birth rates of triplets or more. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
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]]
Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends
[[ABSTRACT]]
In this study, we explore the perplexing connection between arson rates in Louisiana and the birth rates of triplets or more across the United States. With an investigative lens on data extracted from the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention for the time period spanning 2002 to 2021, our research team sleuthed their way through the numbers to uncover startling revelations.
Remarkably, a robust correlation coefficient of 0.9422505 and p < 0.01 emerged, suggesting a potentially significant relationship between deliberate fires in the Bayou State and the birth of triplet bundles at a national level. Despite the peculiarity of our findings, it is essential to approach this research with cautious skepticism, considering the comical randomness of this association.
As we delve deeper into this enigma, it becomes clear that there is more than meets the eye in the smoldering embers of this statistical inquiry, leaving us pondering the whimsical ways in which the universe may conspire to birth statistical anomalies. While these findings may seem like a whimsical whimsy, we must not be too quick to dismiss the possibility of a fiery influence on fertility patterns.
[[INTRDUCTION]]
The intersection of fire-related crimes and the birth of multiple offspring presents a peculiar puzzle that has piqued the curiosity of researchers and ignited a fervor for uncovering the fiery dynamics at play. Despite the seemingly improbable connection, our investigation into this perplexing correlation unfolds as a testament to the unexpected and whimsical nature of statistical associations.
Arson, a criminal act notorious for its destructive and deleterious effects, has now found itself in a rather bizarre liaison with the birth rates of triplets or more across the United States. As we embark on this academic endeavor, we tread carefully through the smoky haze of data, all the while unable to ignore the ironic juxtaposition of the destructive force of fire and the miraculous nature of multiple births.
The impetus for this inquiry stems from the astoundingly robust correlation coefficient, boasting a value of 0.9422505 and a p-value less than 0.01, which suggest a statistically significant relationship between arson rates in Louisiana and the occurrence of triplet bundles across the nation. While we commend statistical significance, we also maintain a healthy dose of skepticism, acknowledging the humorous caprice that could underpin this numerical association.
The confounding and comedic nature of this correlation beckons us to approach our investigation with a lighthearted yet analytical mindset, recognizing that while statistical anomalies may tickle our funny bone, they also pose profound questions about the serendipitous intricacies of human existence. After all, who could have predicted that the flickering flames of arson may hold sway over the propagation of life in such an unexpected manner?
With an air of intrigue and a dash of amusement, we delve into the depths of this enigmatic phenomenon, fully prepared to encounter a smorgasbord of statistical surprises and delightful absurdities in the course of our academic expedition. As we glean insights from the confluence of crime data and birth records, we remain ever attuned to the possibility that the universe's whimsy may manifest itself in the most unexpected and unconventional ways.
[[RESULTS]]
A thorough analysis of the data revealed an intriguing correlation between arson rates in Louisiana and the birth rates of triplets or more across the United States for the years 2002 to 2021. Our research team uncovered a strikingly robust correlation coefficient of 0.9422505, accompanied by an r-squared value of 0.8878361 and a p-value less than 0.01. This statistical tango between the incendiary acts in the Bayou State and the proliferation of triplet bundles at a national level certainly caught us off guard.
The detailed examination of these findings, elucidated through an exhaustive collection of data from disparate sources, laid bare the unexpected connection between seemingly unrelated phenomena. Although we are tempted to conjure fantastical narratives about the conspiratorial interplay of flames and fertility, we must approach these results with judicious caution and a pinch of bemusement, considering the sheer absurdity of the association at hand.
In Figure 1, which we present with all due gravitas, a scatterplot graphically illustrates the remarkably strong correlation between arson rates in Louisiana and the birth rates of triplets or more across the United States. The convergence of these two variables on the graph is as clear as day, demanding a cautious contemplation of the potential underlying mechanisms at play, even amidst the apparent comicality of the situation.
While we may be tempted to imagine clandestine matchmaking sessions between pyromaniacs and storks, it is imperative to remember the need for prudent and rigorous scrutiny of these findings. Despite the whimsy with which the universe has seemingly structured this statistical anomaly, the implications of these results are not to be taken lightly.
In essence, our investigation has skated across the surface of statistical anomalies and stumbled upon a correlation that may elicit a chuckle or two, but also commands earnest attention. The perplexities of life never cease to amuse and astound, and our findings serve as a testament to the serendipitous and sometimes confounding nature of statistical associations.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In concluding this curious investigation, we find ourselves contemplating the unanticipated relationship between arson rates in Louisiana and the birth rates of triplets or more across the United States. The robust correlation coefficient of 0.9422505, complete with a p-value less than 0.01, reinforces the statistically significant nature of this association, leaving us astonished by the whimsical machinations of fate.
While it may seem that these results have kindled a fiery curiosity within us, we must approach this revelation with a discerning eye, recognizing the comical randomness inherent in this infernal conundrum. To humorously acknowledge the possibility of arson as a catalyst for triplet booms across the nation may veer into the realm of whimsical fancy, but the statistical rigor underpinning these findings demands serious consideration.
In the grand scheme of academic inquiries, our exploration of this curious correlation has provided a lighthearted yet meaningful perspective on the delightful absurdities that may lurk within the bosom of statistical associations. As we bid adieu to this whimsical tryst between fire and fertility, it becomes abundantly clear that no further research need be kindled in this domain. After all, some mysteries are best left to smolder in the annals of statistical whimsy.
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 Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Eccentric Epidemiology
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 Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Quirky Demographic Research
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 Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends with an abstract of In this study, we explore the perplexing connection between arson rates in Louisiana and the birth rates of triplets or more across the United States. With an investigative lens on data extracted from the FBI Criminal Justice Information Services and the Centers for Disease Control and Prevention for the time period spanning 2002 to 2021, our research team sleuthed their way through the numbers to uncover startling revelations.
Remarkably, a robust correlation coefficient of 0.9422505 and p < 0.01 emerged, suggesting a potentially significant relationship between deliberate fires in the Bayou State and the birth of triplet bundles at a national level. Despite the peculiarity of our findings, it is essential to approach this research with cautious skepticism, considering the comical randomness of this association.
As we delve deeper into this enigma, it becomes clear that there is more than meets the eye in the smoldering embers of this statistical inquiry, leaving us pondering the whimsical ways in which the universe may conspire to birth statistical anomalies. While these findings may seem like a whimsical whimsy, we must not be too quick to dismiss the possibility of a fiery influence on fertility patterns.
ChatGPT:
arson rates Louisiana, birth rates triplets, FBI Criminal Justice Information Services, Centers for Disease Control and Prevention, relationship arson and birth rates, correlation arson and birth rates, statistical anomaly birth rates, fertility patterns arson, Louisiana arson trends, triplet trends, unusual correlations birth rates, fiery influence fertility patterns
*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
View all research papers
Report an error
Data details
Arson in LouisianaDetailed data title: The arson rate per 100,000 residents in Louisiana
Source: FBI Criminal Justice Information Services
See what else correlates with Arson in Louisiana
US birth rates of triplets or more
Source: CDC
See what else correlates with US birth rates of triplets or more
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 = 0.8878361 (Coefficient of determination)
This means 88.8% of the change in the one variable (i.e., US birth rates of triplets or more) is predictable based on the change in the other (i.e., Arson in Louisiana) over the 20 years from 2002 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.5E-10. 0.0000000005496435493296153000
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 0.94 in 5.5E-8% of random cases. Said differently, if you correlated 1,819,360,932 random variables You don't actually need 1 billion 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 19 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 19 because we have two variables measured over a period of 20 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.86, 0.98 ] 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.
| 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Arson in Louisiana (Arson rate) | 22 | 21.4 | 23 | 19.6 | 21.9 | 19.5 | 19 | 15.8 | 15.6 | 15.3 | 12.4 | 10.2 | 13.5 | 12.4 | 11.4 | 12.8 | 10.7 | 9.1 | 9.8 | 5.7 |
| US birth rates of triplets or more (Birth rate per 100,000) | 183 | 186 | 180 | 170 | 156 | 151 | 148 | 152 | 138 | 137 | 124.4 | 119.5 | 113.5 | 103.6 | 101.4 | 101.6 | 93 | 87.7 | 79.6 | 80 |
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([22,21.4,23,19.6,21.9,19.5,19,15.8,15.6,15.3,12.4,10.2,13.5,12.4,11.4,12.8,10.7,9.1,9.8,5.7,])
array_2 = np.array([183,186,180,170,156,151,148,152,138,137,124.4,119.5,113.5,103.6,101.4,101.6,93,87.7,79.6,80,])
array_1_name = "Arson in Louisiana"
array_2_name = "US birth rates of triplets or more"
# 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.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
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 Arson in Louisiana
- Line chart for only US birth rates of triplets or more
- AI-generated correlation image
- The spurious research paper: Blazing Birth Booms: The Bizarre Link Between Louisiana Arson and Triplet Trends
You're the correlation whisperer we needed!
Correlation ID: 1608 · Black Variable ID: 20045 · Red Variable ID: 55
