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AI explanation
As people switched to plant-based milk, the cows in Delaware formed a neighborhood watch program to protect themselves from being milked, leading to a decrease in overall crime, including robberies.Model: dalle-3
Prompt: Prompt: Generate a photorealistic image of a Delaware town street scene, where empty milk cartons are scattered across the sidewalk beside a once-bustling local store. Capture the fading "got milk?" challenge in the absence of people consuming milk, and the resulting decrease in medical emergencies and robbery incidents. Show the town's transformation through the absence of broken bones and the decreased need for desperate measures. 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: Milk consumption and Robberies in Delaware. 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: Cutsy art illustration Psychedelic Photorealism Low poly Minimalism
ChatGPT: Photorealism
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 Milk consumption and Robberies in Delaware, in the following situation: Because as milk consumption decreased, so did the number of people attempting the "got milk?" challenge, which resulted in fewer broken bones and less need for desperate robberies to pay off medical bills.. Keep the description simple.
ChatGPT: In a Delaware town, the sight of empty milk cartons became more common as people drank less milk. As a result, the "got milk?" challenge faded and with it, the sounds of bones breaking and the need for desperate robberies to cover medical bills also decreased.
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: [ Photorealism ] and depicting this scene: In a Delaware town, the sight of empty milk cartons became more common as people drank less milk. As a result, the "got milk?" challenge faded and with it, the sounds of bones breaking and the need for desperate robberies to cover medical bills also decreased. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate a photorealistic image of a Delaware town street scene, where empty milk cartons are scattered across the sidewalk beside a once-bustling local store. Capture the fading "got milk?" challenge in the absence of people consuming milk, and the resulting decrease in medical emergencies and robbery incidents. Show the town's transformation through the absence of broken bones and the decreased need for desperate measures.
*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 Milk consumption caused Robberies in Delaware to decrease.
AI academic paper
The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware The Journal of Dairy and Deviance Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 Milk consumption and Robberies in Delaware. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title punny if you can come up with clever pun. If not, just make it sound clever.
Your research team used data from USDA and FBI Criminal Justice Information Services to assess this nagging question. You found a correlation coefficient of 0.7276744 and p < 0.01 for 1990 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]]
The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware
[[ABSTRACT]]
This empirical study investigates the intriguing relationship between milk consumption and incidents of robberies in the state of Delaware from 1990 to 2021. Utilizing data from the USDA and the FBI Criminal Justice Information Services, a thorough analysis was conducted to uncover any potential correlation between these seemingly unrelated variables. The results revealed a strong positive correlation coefficient of 0.7276744 and significant statistical significance with p < 0.01. Interestingly, the findings suggest that as milk consumption in Delaware increased, so did the occurrences of robberies. This unexpected and udderly curious trend prompts further investigation into the factors influencing these patterns.
"Did you hear about the kidnapping at the dairy farm? Don't worry, the cows were released unharmed – it was just a case of evaporated milk!"
The unexpected link between milk consumption and robberies raises a myriad of questions and hypotheses, challenging traditional notions of causality and highlighting the need for interdisciplinary research in understanding societal behaviors. Further exploration is necessary to grasp the underlying mechanisms driving this correlation, shedding light on potential practical implications and policy considerations. This study contributes to the relatively unexplored intersection of dairy products and crime, prompting a call for increased attention to the impact of seemingly unrelated factors on social phenomena.
"Pour yourself a glass of milk and let's analyze these criminal activities – it's time to lactose intolerant towards crime!"
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 Milk consumption and Robberies in Delaware. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware
[[ABSTRACT]]
This empirical study investigates the intriguing relationship between milk consumption and incidents of robberies in the state of Delaware from 1990 to 2021. Utilizing data from the USDA and the FBI Criminal Justice Information Services, a thorough analysis was conducted to uncover any potential correlation between these seemingly unrelated variables. The results revealed a strong positive correlation coefficient of 0.7276744 and significant statistical significance with p < 0.01. Interestingly, the findings suggest that as milk consumption in Delaware increased, so did the occurrences of robberies. This unexpected and udderly curious trend prompts further investigation into the factors influencing these patterns.
"Did you hear about the kidnapping at the dairy farm? Don't worry, the cows were released unharmed – it was just a case of evaporated milk!"
The unexpected link between milk consumption and robberies raises a myriad of questions and hypotheses, challenging traditional notions of causality and highlighting the need for interdisciplinary research in understanding societal behaviors. Further exploration is necessary to grasp the underlying mechanisms driving this correlation, shedding light on potential practical implications and policy considerations. This study contributes to the relatively unexplored intersection of dairy products and crime, prompting a call for increased attention to the impact of seemingly unrelated factors on social phenomena.
"Pour yourself a glass of milk and let's analyze these criminal activities – it's time to lactose intolerant towards crime!"
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
Milk, a staple of many diets and a source of numerous nutrients, has been the subject of extensive research on its health benefits and potential drawbacks. Conversely, criminal activities, such as robberies, have garnered significant attention in the field of criminology and public policy. However, seldom have these two seemingly unrelated domains intersected. This study delves into the uncharted territory of the correlation between milk consumption and robberies, aiming to unravel the enigmatic relationship between these disparate phenomena.
The dairy industry's impact on crime rates may seem like a far-fetched concept, but as we delve into the data, a clear pattern begins to emerge. Much like a carton of milk developing a sour taste over time, the conventional wisdom regarding the influence of dietary habits on criminal behavior may require reexamination. The unexpected connection between milk consumption and robberies presents an opportunity to milk the data for all it's worth and churn out valuable insights.
The state of Delaware, with its diverse socio-economic landscape, serves as an ideal setting for this investigation. The intersection of rural and urban communities within the state provides a unique lens through which to examine the potential drivers of this correlation. This study aims to bridge the gap between the agricultural and law enforcement sectors, shedding light on the underlying factors contributing to the observed patterns.
“Why don't cows ever commit crimes? Because they always moooove away from trouble!”
The prevailing literature on crime and diet has predominantly focused on the impact of nutrition on individual behavior, often overlooking broader societal trends. By exploring the macro-level relationship between milk consumption and robberies, this study seeks to enrich our understanding of the multifaceted nature of criminal activities. The intriguing findings hold the promise of dispelling age-old myths and reshaping our perceptions of the factors influencing societal dynamics.
As we embark on this peculiar journey through the dairy aisle of criminology, it becomes increasingly evident that fresh perspectives on crime causality are essential. The correlation uncovered in this study challenges our preconceptions and serves as a stark reminder that even the most unlikely pairings can yield profound insights.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 Milk consumption and Robberies in Delaware. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.
Here is the title and abstract of the paper:
[[TITLE]]
The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware
[[ABSTRACT]]
This empirical study investigates the intriguing relationship between milk consumption and incidents of robberies in the state of Delaware from 1990 to 2021. Utilizing data from the USDA and the FBI Criminal Justice Information Services, a thorough analysis was conducted to uncover any potential correlation between these seemingly unrelated variables. The results revealed a strong positive correlation coefficient of 0.7276744 and significant statistical significance with p < 0.01. Interestingly, the findings suggest that as milk consumption in Delaware increased, so did the occurrences of robberies. This unexpected and udderly curious trend prompts further investigation into the factors influencing these patterns.
"Did you hear about the kidnapping at the dairy farm? Don't worry, the cows were released unharmed – it was just a case of evaporated milk!"
The unexpected link between milk consumption and robberies raises a myriad of questions and hypotheses, challenging traditional notions of causality and highlighting the need for interdisciplinary research in understanding societal behaviors. Further exploration is necessary to grasp the underlying mechanisms driving this correlation, shedding light on potential practical implications and policy considerations. This study contributes to the relatively unexplored intersection of dairy products and crime, prompting a call for increased attention to the impact of seemingly unrelated factors on social phenomena.
"Pour yourself a glass of milk and let's analyze these criminal activities – it's time to lactose intolerant towards crime!"
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Milk, a staple of many diets and a source of numerous nutrients, has been the subject of extensive research on its health benefits and potential drawbacks. Conversely, criminal activities, such as robberies, have garnered significant attention in the field of criminology and public policy. However, seldom have these two seemingly unrelated domains intersected. This study delves into the uncharted territory of the correlation between milk consumption and robberies, aiming to unravel the enigmatic relationship between these disparate phenomena.
The dairy industry's impact on crime rates may seem like a far-fetched concept, but as we delve into the data, a clear pattern begins to emerge. Much like a carton of milk developing a sour taste over time, the conventional wisdom regarding the influence of dietary habits on criminal behavior may require reexamination. The unexpected connection between milk consumption and robberies presents an opportunity to milk the data for all it's worth and churn out valuable insights.
The state of Delaware, with its diverse socio-economic landscape, serves as an ideal setting for this investigation. The intersection of rural and urban communities within the state provides a unique lens through which to examine the potential drivers of this correlation. This study aims to bridge the gap between the agricultural and law enforcement sectors, shedding light on the underlying factors contributing to the observed patterns.
“Why don't cows ever commit crimes? Because they always moooove away from trouble!”
The prevailing literature on crime and diet has predominantly focused on the impact of nutrition on individual behavior, often overlooking broader societal trends. By exploring the macro-level relationship between milk consumption and robberies, this study seeks to enrich our understanding of the multifaceted nature of criminal activities. The intriguing findings hold the promise of dispelling age-old myths and reshaping our perceptions of the factors influencing societal dynamics.
As we embark on this peculiar journey through the dairy aisle of criminology, it becomes increasingly evident that fresh perspectives on crime causality are essential. The correlation uncovered in this study challenges our preconceptions and serves as a stark reminder that even the most unlikely pairings can yield profound insights.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "Smith et al.," the authors find that milk consumption has been associated with various health outcomes, such as bone health and cardiovascular disease. Likewise, "Doe and Johnson" suggest that criminal activities are influenced by a complex interplay of socio-economic factors and individual behavior. However, the intersection of these domains, particularly in the context of the state of Delaware, remains largely unexplored.
On the literary front, "Milk: The Surprising Story of Milk Through the Ages" by Anne Mendelson and "Got Milked?: The Great Dairy Deception and Why You'll Thrive Without Milk" by Alissa Hamilton offer contrasting perspectives on the societal impact of milk consumption. Meanwhile, fictional works such as "The Curious Incident of the Dog in the Night-Time" by Mark Haddon and "Milkman" by Anna Burns elicit thought-provoking narratives that may bear indirect relevance to the subject matter.
Television shows such as "Mindhunter" and "Brooklyn Nine-Nine" provide a glimpse into criminal psychology and law enforcement dynamics, offering valuable insights into the intricacies of criminal behavior. These cultural references, although not directly related to the nexus of milk consumption and robberies, serve to underscore the multifaceted nature of societal phenomena and the need for innovative perspectives in academic inquiry.
"Did you know scientists have discovered a new species of dinosaur related to the Tyrannosaurus rex, but it's a vegetarian? They call it the 'Lactosaurus'."
In "Jones et al.," the authors find that the state of Delaware has exhibited fluctuations in milk consumption patterns over the past three decades, with notable increases coinciding with shifts in agricultural practices and dietary trends. Paralleling this, "Brown and Smith" highlight the spatial distribution of robberies across urban and rural areas, emphasizing the intricate dynamics of criminal activities within distinct socio-demographic contexts.
Delving into the works of fiction, novels such as "A Clockwork Orange" by Anthony Burgess and "Blood Meridian" by Cormac McCarthy offer compelling narratives of crime and deviance, albeit unrelated to dairy products or agricultural landscapes. These literary excerpts, while diverging from the central theme, convey the profound impact of societal subcultures and individual motivations in shaping behavioral patterns.
"In 'Got Milked?: The Great Dairy Deception and Why You'll Thrive Without Milk' by Alissa Hamilton, I suppose the culprit behind the robberies in Delaware isn't calcium deficiency after all – it's the great milk deception!"
Given the unexpected nature of the correlation under investigation, it is imperative to adopt an open-minded approach to examining the underlying drivers and implications of the observed patterns. As the inquiry progresses, insights from diverse domains, ranging from nutrition to criminology, will undoubtedly enrich the discourse and prompt imaginative perspectives on the interplay of seemingly unrelated variables.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 Milk consumption and Robberies in Delaware. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 USDA and FBI Criminal Justice Information Services . You used data from 1990 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]]
The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware
[[ABSTRACT]]
This empirical study investigates the intriguing relationship between milk consumption and incidents of robberies in the state of Delaware from 1990 to 2021. Utilizing data from the USDA and the FBI Criminal Justice Information Services, a thorough analysis was conducted to uncover any potential correlation between these seemingly unrelated variables. The results revealed a strong positive correlation coefficient of 0.7276744 and significant statistical significance with p < 0.01. Interestingly, the findings suggest that as milk consumption in Delaware increased, so did the occurrences of robberies. This unexpected and udderly curious trend prompts further investigation into the factors influencing these patterns.
"Did you hear about the kidnapping at the dairy farm? Don't worry, the cows were released unharmed – it was just a case of evaporated milk!"
The unexpected link between milk consumption and robberies raises a myriad of questions and hypotheses, challenging traditional notions of causality and highlighting the need for interdisciplinary research in understanding societal behaviors. Further exploration is necessary to grasp the underlying mechanisms driving this correlation, shedding light on potential practical implications and policy considerations. This study contributes to the relatively unexplored intersection of dairy products and crime, prompting a call for increased attention to the impact of seemingly unrelated factors on social phenomena.
"Pour yourself a glass of milk and let's analyze these criminal activities – it's time to lactose intolerant towards crime!"
[[INTRODUCTION]]
Milk, a staple of many diets and a source of numerous nutrients, has been the subject of extensive research on its health benefits and potential drawbacks. Conversely, criminal activities, such as robberies, have garnered significant attention in the field of criminology and public policy. However, seldom have these two seemingly unrelated domains intersected. This study delves into the uncharted territory of the correlation between milk consumption and robberies, aiming to unravel the enigmatic relationship between these disparate phenomena.
The dairy industry's impact on crime rates may seem like a far-fetched concept, but as we delve into the data, a clear pattern begins to emerge. Much like a carton of milk developing a sour taste over time, the conventional wisdom regarding the influence of dietary habits on criminal behavior may require reexamination. The unexpected connection between milk consumption and robberies presents an opportunity to milk the data for all it's worth and churn out valuable insights.
The state of Delaware, with its diverse socio-economic landscape, serves as an ideal setting for this investigation. The intersection of rural and urban communities within the state provides a unique lens through which to examine the potential drivers of this correlation. This study aims to bridge the gap between the agricultural and law enforcement sectors, shedding light on the underlying factors contributing to the observed patterns.
“Why don't cows ever commit crimes? Because they always moooove away from trouble!”
The prevailing literature on crime and diet has predominantly focused on the impact of nutrition on individual behavior, often overlooking broader societal trends. By exploring the macro-level relationship between milk consumption and robberies, this study seeks to enrich our understanding of the multifaceted nature of criminal activities. The intriguing findings hold the promise of dispelling age-old myths and reshaping our perceptions of the factors influencing societal dynamics.
As we embark on this peculiar journey through the dairy aisle of criminology, it becomes increasingly evident that fresh perspectives on crime causality are essential. The correlation uncovered in this study challenges our preconceptions and serves as a stark reminder that even the most unlikely pairings can yield profound insights.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
The data for this study was collected from the USDA and FBI Criminal Justice Information Services, representing the period from 1990 to 2021. The annual per capita milk consumption in Delaware, measured in gallons, served as the indicator of milk consumption. The incidents of robberies, as reported to the FBI, formed the basis for assessing criminal activities in the state. The dataset was then subjected to rigorous analysis to identify any potential associations between milk consumption and robberies.
To establish causality and correlation, a series of convoluted statistical methods were employed, including but not limited to the "Moo-dified Cow-cran's F-test" and the "Udderly Complex Regression Analysis." In addition, a "Holstein-Anderson Granger Causality Test" was conducted to probe the potential temporal relationships between milk consumption and robbery incidents. Each of these methods was selected to wrangle the data and tease out meaningful patterns and associations, ensuring a comprehensive exploration of the interplay of these variables.
"Why did the milk go to school? Because it wanted to be a little brie-ghter!"
Furthermore, to account for potential confounding variables such as socio-economic factors and population density, a method known as the "Cow-nfounder Control technique" was utilized. This involved stratifying the data based on various demographic and economic indicators, allowing for a more nuanced understanding of the relationship between milk consumption and robberies.
The statistical software packages utilized for the analysis included "Moo-SPSS" and "Her-d Dairy Analysis," specially designed for handling complex agricultural and criminological datasets. These analytical tools facilitated the application of appropriate models and tests, ensuring robustness and reliability of the findings.
"I told my wife she should embrace her mistakes. She gave me a hug!"
Lastly, sensitivity analyses were conducted to assess the stability of the observed relationship under varying assumptions and model specifications. This involved testing the robustness of the findings by varying the time periods and examining different measure of milk consumption, such as skimmed, semi-skimmed, and whole milk, to ascertain the consistency of the observed associations.
The methodological approach undertaken in this study aimed to not only crunch the data but also to milk it for all it's worth, ensuring a comprehensive and rigorous investigation into the curious case of milk consumption and robberies in Delaware.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 Milk consumption and Robberies in Delaware. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 USDA and FBI Criminal Justice Information Services .
For the time period 1990 to 2021, you found a correlation 0.7276744, r-squared of 0.5295100, 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]]
The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware
[[ABSTRACT]]
This empirical study investigates the intriguing relationship between milk consumption and incidents of robberies in the state of Delaware from 1990 to 2021. Utilizing data from the USDA and the FBI Criminal Justice Information Services, a thorough analysis was conducted to uncover any potential correlation between these seemingly unrelated variables. The results revealed a strong positive correlation coefficient of 0.7276744 and significant statistical significance with p < 0.01. Interestingly, the findings suggest that as milk consumption in Delaware increased, so did the occurrences of robberies. This unexpected and udderly curious trend prompts further investigation into the factors influencing these patterns.
"Did you hear about the kidnapping at the dairy farm? Don't worry, the cows were released unharmed – it was just a case of evaporated milk!"
The unexpected link between milk consumption and robberies raises a myriad of questions and hypotheses, challenging traditional notions of causality and highlighting the need for interdisciplinary research in understanding societal behaviors. Further exploration is necessary to grasp the underlying mechanisms driving this correlation, shedding light on potential practical implications and policy considerations. This study contributes to the relatively unexplored intersection of dairy products and crime, prompting a call for increased attention to the impact of seemingly unrelated factors on social phenomena.
"Pour yourself a glass of milk and let's analyze these criminal activities – it's time to lactose intolerant towards crime!"
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
Milk, a staple of many diets and a source of numerous nutrients, has been the subject of extensive research on its health benefits and potential drawbacks. Conversely, criminal activities, such as robberies, have garnered significant attention in the field of criminology and public policy. However, seldom have these two seemingly unrelated domains intersected. This study delves into the uncharted territory of the correlation between milk consumption and robberies, aiming to unravel the enigmatic relationship between these disparate phenomena.
The dairy industry's impact on crime rates may seem like a far-fetched concept, but as we delve into the data, a clear pattern begins to emerge. Much like a carton of milk developing a sour taste over time, the conventional wisdom regarding the influence of dietary habits on criminal behavior may require reexamination. The unexpected connection between milk consumption and robberies presents an opportunity to milk the data for all it's worth and churn out valuable insights.
The state of Delaware, with its diverse socio-economic landscape, serves as an ideal setting for this investigation. The intersection of rural and urban communities within the state provides a unique lens through which to examine the potential drivers of this correlation. This study aims to bridge the gap between the agricultural and law enforcement sectors, shedding light on the underlying factors contributing to the observed patterns.
“Why don't cows ever commit crimes? Because they always moooove away from trouble!”
The prevailing literature on crime and diet has predominantly focused on the impact of nutrition on individual behavior, often overlooking broader societal trends. By exploring the macro-level relationship between milk consumption and robberies, this study seeks to enrich our understanding of the multifaceted nature of criminal activities. The intriguing findings hold the promise of dispelling age-old myths and reshaping our perceptions of the factors influencing societal dynamics.
As we embark on this peculiar journey through the dairy aisle of criminology, it becomes increasingly evident that fresh perspectives on crime causality are essential. The correlation uncovered in this study challenges our preconceptions and serves as a stark reminder that even the most unlikely pairings can yield profound insights.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data collected from the USDA and the FBI Criminal Justice Information Services revealed a noteworthy correlation between milk consumption and incidents of robberies in Delaware from 1990 to 2021. The correlation coefficient of 0.7276744 indicated a strong positive relationship between these seemingly unrelated variables. This finding, as surprising as finding a cow in the lineup at a police station, suggests that as milk consumption in Delaware increased, so did the occurrences of robberies.
The r-squared value of 0.5295100 further supported the robustness of the relationship, indicating that approximately 53% of the variation in robberies could be explained by changes in milk consumption. This statistical significance with p < 0.01 provides convincing evidence of the reliability of the observed correlation, leaving no room for doubt about the notable connection between milk consumption and robberies in the state of Delaware.
Fig. 1 illustrates the strong correlation between milk consumption and robberies in Delaware over the time period studied. The scatterplot vividly portrays the upward trend, resembling the steep climb of a cow trying to jump over the moon. The unmistakable positive relationship depicted in the figure underscores the compelling nature of the discovered association.
These findings, as glaring as spots on a Holstein cow, challenge conventional assumptions and call for further exploration into the underlying mechanisms driving this unusual correlation. The unexpected link between milk consumption and robberies opens the barn door to a pasture of unexplored hypotheses and warrants a deeper investigation into the factors influencing these patterns.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 Milk consumption and Robberies in Delaware. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware
[[ABSTRACT]]
This empirical study investigates the intriguing relationship between milk consumption and incidents of robberies in the state of Delaware from 1990 to 2021. Utilizing data from the USDA and the FBI Criminal Justice Information Services, a thorough analysis was conducted to uncover any potential correlation between these seemingly unrelated variables. The results revealed a strong positive correlation coefficient of 0.7276744 and significant statistical significance with p < 0.01. Interestingly, the findings suggest that as milk consumption in Delaware increased, so did the occurrences of robberies. This unexpected and udderly curious trend prompts further investigation into the factors influencing these patterns.
"Did you hear about the kidnapping at the dairy farm? Don't worry, the cows were released unharmed – it was just a case of evaporated milk!"
The unexpected link between milk consumption and robberies raises a myriad of questions and hypotheses, challenging traditional notions of causality and highlighting the need for interdisciplinary research in understanding societal behaviors. Further exploration is necessary to grasp the underlying mechanisms driving this correlation, shedding light on potential practical implications and policy considerations. This study contributes to the relatively unexplored intersection of dairy products and crime, prompting a call for increased attention to the impact of seemingly unrelated factors on social phenomena.
"Pour yourself a glass of milk and let's analyze these criminal activities – it's time to lactose intolerant towards crime!"
[[LITERATURE REVIEW]]
In "Smith et al.," the authors find that milk consumption has been associated with various health outcomes, such as bone health and cardiovascular disease. Likewise, "Doe and Johnson" suggest that criminal activities are influenced by a complex interplay of socio-economic factors and individual behavior. However, the intersection of these domains, particularly in the context of the state of Delaware, remains largely unexplored.
On the literary front, "Milk: The Surprising Story of Milk Through the Ages" by Anne Mendelson and "Got Milked?: The Great Dairy Deception and Why You'll Thrive Without Milk" by Alissa Hamilton offer contrasting perspectives on the societal impact of milk consumption. Meanwhile, fictional works such as "The Curious Incident of the Dog in the Night-Time" by Mark Haddon and "Milkman" by Anna Burns elicit thought-provoking narratives that may bear indirect relevance to the subject matter.
Television shows such as "Mindhunter" and "Brooklyn Nine-Nine" provide a glimpse into criminal psychology and law enforcement dynamics, offering valuable insights into the intricacies of criminal behavior. These cultural references, although not directly related to the nexus of milk consumption and robberies, serve to underscore the multifaceted nature of societal phenomena and the need for innovative perspectives in academic inquiry.
"Did you know scientists have discovered a new species of dinosaur related to the Tyrannosaurus rex, but it's a vegetarian? They call it the 'Lactosaurus'."
In "Jones et al.," the authors find that the state of Delaware has exhibited fluctuations in milk consumption patterns over the past three decades, with notable increases coinciding with shifts in agricultural practices and dietary trends. Paralleling this, "Brown and Smith" highlight the spatial distribution of robberies across urban and rural areas, emphasizing the intricate dynamics of criminal activities within distinct socio-demographic contexts.
Delving into the works of fiction, novels such as "A Clockwork Orange" by Anthony Burgess and "Blood Meridian" by Cormac McCarthy offer compelling narratives of crime and deviance, albeit unrelated to dairy products or agricultural landscapes. These literary excerpts, while diverging from the central theme, convey the profound impact of societal subcultures and individual motivations in shaping behavioral patterns.
"In 'Got Milked?: The Great Dairy Deception and Why You'll Thrive Without Milk' by Alissa Hamilton, I suppose the culprit behind the robberies in Delaware isn't calcium deficiency after all – it's the great milk deception!"
Given the unexpected nature of the correlation under investigation, it is imperative to adopt an open-minded approach to examining the underlying drivers and implications of the observed patterns. As the inquiry progresses, insights from diverse domains, ranging from nutrition to criminology, will undoubtedly enrich the discourse and prompt imaginative perspectives on the interplay of seemingly unrelated variables.
[[RESULTS]]
The analysis of the data collected from the USDA and the FBI Criminal Justice Information Services revealed a noteworthy correlation between milk consumption and incidents of robberies in Delaware from 1990 to 2021. The correlation coefficient of 0.7276744 indicated a strong positive relationship between these seemingly unrelated variables. This finding, as surprising as finding a cow in the lineup at a police station, suggests that as milk consumption in Delaware increased, so did the occurrences of robberies.
The r-squared value of 0.5295100 further supported the robustness of the relationship, indicating that approximately 53% of the variation in robberies could be explained by changes in milk consumption. This statistical significance with p < 0.01 provides convincing evidence of the reliability of the observed correlation, leaving no room for doubt about the notable connection between milk consumption and robberies in the state of Delaware.
Fig. 1 illustrates the strong correlation between milk consumption and robberies in Delaware over the time period studied. The scatterplot vividly portrays the upward trend, resembling the steep climb of a cow trying to jump over the moon. The unmistakable positive relationship depicted in the figure underscores the compelling nature of the discovered association.
These findings, as glaring as spots on a Holstein cow, challenge conventional assumptions and call for further exploration into the underlying mechanisms driving this unusual correlation. The unexpected link between milk consumption and robberies opens the barn door to a pasture of unexplored hypotheses and warrants a deeper investigation into the factors influencing these patterns.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of the present study align with prior research that has delved into the curious case of dairy products and societal phenomena. The positive correlation between milk consumption and incidents of robberies in Delaware not only supports the findings of Jones et al., which documented fluctuations in milk consumption patterns over the past three decades, but also contributes to the growing body of evidence highlighting the multifaceted impact of seemingly unrelated variables on social behaviors. This unexpected relationship challenges traditional perspectives and encourages a broader consideration of the interplay between dietary habits and criminal activities.
The statistical significance of the correlation coefficient, akin to the unmistakable similarity between a milk carton and a wanted poster, provides robust evidence of the connection under investigation. The r-squared value further underscores the reliability of the observed relationship, demonstrating that more than half of the variation in robberies can be elucidated by changes in milk consumption. This statistical support, as clear as the distinction between skim and whole milk, reinforces the credibility of the results and emphasizes the need for in-depth exploration of the underlying mechanisms driving this correlation.
The findings call for a departure from traditional disciplinary boundaries, echoing the sentiments expressed in the works of Mendelson and Hamilton, whose contrasting perspectives on the societal impact of milk consumption inadvertently shed light on the potential implications of this unexpected link. Just as the "Lactosaurus" challenges conventional notions of dietary preferences, the correlation unraveled in this study challenges prevailing assumptions about crime determinants and prompts a reevaluation of the factors influencing criminal behaviors.
The unexpected marriage of "A Clockwork Orange" and "Brooklyn Nine-Nine" in the literature review may have seemed unconventional, but their indirect relevance to the subject matter imbued the discourse with the necessary multidimensionality to tackle the complexities of societal phenomena. Exploring the nexus between milk consumption and robberies necessitates an interdisciplinary lens that draws from criminology, nutrition, and societal subcultures, blending diverse perspectives to arrive at a comprehensive understanding of the observed correlation.
In summary, the unexpected connection between milk consumption and robberies in Delaware not only challenges traditional assumptions but also prompts a reevaluation of the intricate dynamics shaping societal behaviors. This empirical evidence, as unmistakable as a dairy cow in a police lineup, calls for continued exploration of the underlying mechanisms driving this unusual relationship and underscores the need for innovative perspectives in comprehending the interplay of seemingly disparate variables.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 Milk consumption and Robberies in Delaware. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware
[[ABSTRACT]]
This empirical study investigates the intriguing relationship between milk consumption and incidents of robberies in the state of Delaware from 1990 to 2021. Utilizing data from the USDA and the FBI Criminal Justice Information Services, a thorough analysis was conducted to uncover any potential correlation between these seemingly unrelated variables. The results revealed a strong positive correlation coefficient of 0.7276744 and significant statistical significance with p < 0.01. Interestingly, the findings suggest that as milk consumption in Delaware increased, so did the occurrences of robberies. This unexpected and udderly curious trend prompts further investigation into the factors influencing these patterns.
"Did you hear about the kidnapping at the dairy farm? Don't worry, the cows were released unharmed – it was just a case of evaporated milk!"
The unexpected link between milk consumption and robberies raises a myriad of questions and hypotheses, challenging traditional notions of causality and highlighting the need for interdisciplinary research in understanding societal behaviors. Further exploration is necessary to grasp the underlying mechanisms driving this correlation, shedding light on potential practical implications and policy considerations. This study contributes to the relatively unexplored intersection of dairy products and crime, prompting a call for increased attention to the impact of seemingly unrelated factors on social phenomena.
"Pour yourself a glass of milk and let's analyze these criminal activities – it's time to lactose intolerant towards crime!"
[[INTRDUCTION]]
Milk, a staple of many diets and a source of numerous nutrients, has been the subject of extensive research on its health benefits and potential drawbacks. Conversely, criminal activities, such as robberies, have garnered significant attention in the field of criminology and public policy. However, seldom have these two seemingly unrelated domains intersected. This study delves into the uncharted territory of the correlation between milk consumption and robberies, aiming to unravel the enigmatic relationship between these disparate phenomena.
The dairy industry's impact on crime rates may seem like a far-fetched concept, but as we delve into the data, a clear pattern begins to emerge. Much like a carton of milk developing a sour taste over time, the conventional wisdom regarding the influence of dietary habits on criminal behavior may require reexamination. The unexpected connection between milk consumption and robberies presents an opportunity to milk the data for all it's worth and churn out valuable insights.
The state of Delaware, with its diverse socio-economic landscape, serves as an ideal setting for this investigation. The intersection of rural and urban communities within the state provides a unique lens through which to examine the potential drivers of this correlation. This study aims to bridge the gap between the agricultural and law enforcement sectors, shedding light on the underlying factors contributing to the observed patterns.
“Why don't cows ever commit crimes? Because they always moooove away from trouble!”
The prevailing literature on crime and diet has predominantly focused on the impact of nutrition on individual behavior, often overlooking broader societal trends. By exploring the macro-level relationship between milk consumption and robberies, this study seeks to enrich our understanding of the multifaceted nature of criminal activities. The intriguing findings hold the promise of dispelling age-old myths and reshaping our perceptions of the factors influencing societal dynamics.
As we embark on this peculiar journey through the dairy aisle of criminology, it becomes increasingly evident that fresh perspectives on crime causality are essential. The correlation uncovered in this study challenges our preconceptions and serves as a stark reminder that even the most unlikely pairings can yield profound insights.
[[RESULTS]]
The analysis of the data collected from the USDA and the FBI Criminal Justice Information Services revealed a noteworthy correlation between milk consumption and incidents of robberies in Delaware from 1990 to 2021. The correlation coefficient of 0.7276744 indicated a strong positive relationship between these seemingly unrelated variables. This finding, as surprising as finding a cow in the lineup at a police station, suggests that as milk consumption in Delaware increased, so did the occurrences of robberies.
The r-squared value of 0.5295100 further supported the robustness of the relationship, indicating that approximately 53% of the variation in robberies could be explained by changes in milk consumption. This statistical significance with p < 0.01 provides convincing evidence of the reliability of the observed correlation, leaving no room for doubt about the notable connection between milk consumption and robberies in the state of Delaware.
Fig. 1 illustrates the strong correlation between milk consumption and robberies in Delaware over the time period studied. The scatterplot vividly portrays the upward trend, resembling the steep climb of a cow trying to jump over the moon. The unmistakable positive relationship depicted in the figure underscores the compelling nature of the discovered association.
These findings, as glaring as spots on a Holstein cow, challenge conventional assumptions and call for further exploration into the underlying mechanisms driving this unusual correlation. The unexpected link between milk consumption and robberies opens the barn door to a pasture of unexplored hypotheses and warrants a deeper investigation into the factors influencing these patterns.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the correlation between milk consumption and incidents of robberies in Delaware has been established with robust statistical significance, pointing to a noteworthy relationship between these seemingly incongruous variables. The findings of this study not only raise eyebrows but also prompt a reconsideration of the factors influencing societal behaviors and crime dynamics. The unexpected connection between the consumption of a dairy staple and criminal activities highlights the complexity of human interactions and the need for interdisciplinary inquiries into seemingly unrelated phenomena.
These results, like a glass of spilt milk, cannot be overlooked or easily wiped away. The statistical evidence suggests that as milk consumption in Delaware increased, incidents of robberies followed suit. The starkness of this correlation brings to mind the age-old question: does crime really pay, or is it just udder nonsense?
Looking ahead, this study opens the proverbial barn doors to a pasture of unexplored inquiries, stimulating the need for further investigation into the underlying drivers of this unexpected correlation. The dairy aisle of criminology beckons for more rigorous research to better understand and perhaps even prevent criminal activities. However, one should exercise caution when interpreting these findings, as correlation does not always imply causation – after all, even milk can be framed!
With the data showing a strong positive correlation, akin to the powerful bond between lactose and tolerance, it is clear that further research in this area may churn out invaluable insights into the complexities of societal behaviors and crime dynamics. However, given the extent and strength of the correlation observed in this study, it may be safe to say that no further research is needed in this particular area, for the udder time being.
And remember, when it comes to crime prevention, maybe a glass of milk a day could keep the burglars away!
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 The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Dairy and Deviance
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 The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Dairy-Linked Criminology 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 The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware with an abstract of This empirical study investigates the intriguing relationship between milk consumption and incidents of robberies in the state of Delaware from 1990 to 2021. Utilizing data from the USDA and the FBI Criminal Justice Information Services, a thorough analysis was conducted to uncover any potential correlation between these seemingly unrelated variables. The results revealed a strong positive correlation coefficient of 0.7276744 and significant statistical significance with p < 0.01. Interestingly, the findings suggest that as milk consumption in Delaware increased, so did the occurrences of robberies. This unexpected and udderly curious trend prompts further investigation into the factors influencing these patterns.
"Did you hear about the kidnapping at the dairy farm? Don't worry, the cows were released unharmed – it was just a case of evaporated milk!"
The unexpected link between milk consumption and robberies raises a myriad of questions and hypotheses, challenging traditional notions of causality and highlighting the need for interdisciplinary research in understanding societal behaviors. Further exploration is necessary to grasp the underlying mechanisms driving this correlation, shedding light on potential practical implications and policy considerations. This study contributes to the relatively unexplored intersection of dairy products and crime, prompting a call for increased attention to the impact of seemingly unrelated factors on social phenomena.
"Pour yourself a glass of milk and let's analyze these criminal activities – it's time to lactose intolerant towards crime!
ChatGPT:
milk consumption, robberies, Delaware, crime statistics, USDA data, FBI data, correlation analysis, dairy products, social phenomena, causal relationship, interdisciplinary research, crime prevention policies
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Milk consumptionDetailed data title: Per capita consumption of Fluid beverage milk in the US
Source: USDA
See what else correlates with Milk consumption
Robberies in Delaware
Detailed data title: The robbery rate per 100,000 residents in Delaware
Source: FBI Criminal Justice Information Services
See what else correlates with Robberies in Delaware
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 = 0.5295100 (Coefficient of determination)
This means 53% of the change in the one variable (i.e., Robberies in Delaware) is predictable based on the change in the other (i.e., Milk consumption) over the 32 years from 1990 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.4E-6. 0.0000023698351523766008000000
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 0.73 in 0.00024% of random cases. Said differently, if you correlated 421,970 random variables You don't actually need 421 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 31 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 31 because we have two variables measured over a period of 32 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.
[ 0.51, 0.86 ] 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.
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 | |
Milk consumption (Pounds per person) | 220 | 218 | 215 | 210 | 208 | 205 | 205 | 201 | 198 | 197 | 196 | 192 | 191 | 188 | 185 | 185 | 185 | 183 | 181 | 181 | 177 | 173 | 169 | 164 | 158 | 155 | 153 | 149 | 145 | 141 | 141 | 134 |
Robberies in Delaware (Robbery rate) | 164.8 | 214.7 | 151.2 | 186.7 | 161.6 | 198.7 | 179.9 | 243.6 | 194.2 | 198 | 177.9 | 145.1 | 143.2 | 176.1 | 161.8 | 155.2 | 209.8 | 203.9 | 211.5 | 189.8 | 204.4 | 171.6 | 163.3 | 133.3 | 135.8 | 131.3 | 142.6 | 113.1 | 89.2 | 80.8 | 0 | 56.2 |
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. - Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves.
Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([220,218,215,210,208,205,205,201,198,197,196,192,191,188,185,185,185,183,181,181,177,173,169,164,158,155,153,149,145,141,141,134,])
array_2 = np.array([164.8,214.7,151.2,186.7,161.6,198.7,179.9,243.6,194.2,198,177.9,145.1,143.2,176.1,161.8,155.2,209.8,203.9,211.5,189.8,204.4,171.6,163.3,133.3,135.8,131.3,142.6,113.1,89.2,80.8,0,56.2,])
array_1_name = "Milk consumption"
array_2_name = "Robberies in Delaware"
# 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 Milk consumption
- Line chart for only Robberies in Delaware
- AI-generated correlation image
- The spurious research paper: The Milky Whey: Exploring the Curious Case of Milk Consumption and Robberies in Delaware
You're the correlation whisperer we needed!
Correlation ID: 2923 · Black Variable ID: 554 · Red Variable ID: 20231