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AI explanation
As the Republican votes for Senators in Illinois decreased, it created a lack of support for policies that promoted seafaring adventures. This in turn led to a plank in the pirate population, as their booty prospects were no longer a shore thing. Without the political winds blowing in their favor, the pirates found themselves adrift in a sea of electoral change, ultimately sailing towards a major arrrrr-ccas in their global marauding activities. Without the Senatorial support, it seems the pirates couldn’t Illinois the seas as much as before, and their flagging morale scuppered their usual high-seas shenanigans. It just goes to show, even landlocked voting trends can have a ripple effect on the seven seas!Model: dalle-3
Prompt: Prompt: Generate an image of a surreal pirate ship navigating choppy waves with a drooping Jolly Roger flag. Around the ship, depict several smaller boats filled with disappointed pirates, their expressions crestfallen. In the background, show a ballot box labeled "Republican votes for Senators in Illinois" being slowly submerged under rising water. This scene symbolizes the weakening support for seafaring policies and the decrease in global pirate activity due to a lack of political backing. 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: Republican votes for Senators in Illinois and Pirate attacks globally. 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: Psychedelic Magic realism An image that looks like it is a scene from a Pixar movie Surrealism Cute 2D animation
ChatGPT: Surrealism
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 Republican votes for Senators in Illinois and Pirate attacks globally, in the following situation: As the Republican votes for Senators in Illinois decreased, it created a lack of support for policies that promoted seafaring adventures. This in turn led to a plank in the pirate population, as their booty prospects were no longer a shore thing. Without the political winds blowing in their favor, the pirates found themselves adrift in a sea of electoral change, ultimately sailing towards a major arrrrr-ccas in their global marauding activities. Without the Senatorial support, it seems the pirates couldn’t Illinois the seas as much as before, and their flagging morale scuppered their usual high-seas shenanigans. It just goes to show, even landlocked voting trends can have a ripple effect on the seven seas!. Keep the description simple.
ChatGPT: Imagine a large pirate ship sailing on choppy waves, its Jolly Roger flag drooping low. Surrounding it are several small boats filled with disappointed pirates, their faces downcast. In the background, a ballot box with the words "Republican votes for Senators in Illinois" is being slowly submerged under rising water. The scene depicts the decrease in support for policies that promoted seafaring adventures, symbolized by the sinking ballot box, leading to a downturn in global pirate attacks as the pirates face a lack of political backing.
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: [ Surrealism ] and depicting this scene: Imagine a large pirate ship sailing on choppy waves, its Jolly Roger flag drooping low. Surrounding it are several small boats filled with disappointed pirates, their faces downcast. In the background, a ballot box with the words "Republican votes for Senators in Illinois" is being slowly submerged under rising water. The scene depicts the decrease in support for policies that promoted seafaring adventures, symbolized by the sinking ballot box, leading to a downturn in global pirate attacks as the pirates face a lack of political backing. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image of a surreal pirate ship navigating choppy waves with a drooping Jolly Roger flag. Around the ship, depict several smaller boats filled with disappointed pirates, their expressions crestfallen. In the background, show a ballot box labeled "Republican votes for Senators in Illinois" being slowly submerged under rising water. This scene symbolizes the weakening support for seafaring policies and the decrease in global pirate activity due to a lack of political backing.
*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 Republican votes for Senators in Illinois caused Pirate attacks globally to decrease. Include one good pun.
AI academic paper
The Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study The Journal of Unconventional Data Analysis Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Republican votes for Senators in Illinois and Pirate attacks globally. Make lots of jokes, goofy observations, and puns.
Rhyme words in the title.
Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Statista to assess this nagging question. You found a correlation coefficient of 0.9763142 and p < 0.05 for 2009 to 2020.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
The Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study
[[ABSTRACT]]
Ahoy, mateys! In this study, we set sail on the statistical seven seas to uncover the curious connection between Republican votes for Senators in Illinois and the frequency of pirate attacks across the globe. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical adventure and discovered a correlation coefficient of 0.9763142 with a p-value of less than 0.05 for the period spanning 2009 to 2020. So, hop aboard our academic ship as we navigate through the waves of political voting trends and the tumultuous tides of pirate plunder to unravel this quirky correlation. Avast ye, for the results of this study may just shiver your statistical timbers!
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Illinois and Pirate attacks globally. Make lots of 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]]
The Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study
[[ABSTRACT]]
Ahoy, mateys! In this study, we set sail on the statistical seven seas to uncover the curious connection between Republican votes for Senators in Illinois and the frequency of pirate attacks across the globe. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical adventure and discovered a correlation coefficient of 0.9763142 with a p-value of less than 0.05 for the period spanning 2009 to 2020. So, hop aboard our academic ship as we navigate through the waves of political voting trends and the tumultuous tides of pirate plunder to unravel this quirky correlation. Avast ye, for the results of this study may just shiver your statistical timbers!
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
**[[INTRODUCTION]]**
In the world of statistical inquiry, it is not uncommon to stumble upon unexpected associations and peculiar correlations. Oftentimes, the pursuit of knowledge leads us down uncharted waters, where the waves of data may reveal surprising interconnections. In this study, we delve into the enigmatic relationship between Republican votes for Senators in Illinois and the seemingly unrelated phenomenon of global pirate attacks. While this union of political preference and maritime mischief may appear as incongruous as a parrot in a boardroom, our investigation has unearthed an intriguing statistical narrative that is as captivating as a treasure map.
The peculiar juxtaposition of Illinois Senatorial voting patterns and global pirate activities may seem as incongruous as a peg-legged pirate trying to navigate a balance sheet. Nevertheless, as scholars, our duty is to greet such statistical curiosities with the same steadfastness that a sea captain displays in the face of a raging tempest. Within the realm of statistical analysis, we must remain open to the possibility that correlations, no matter how unconventional, could potentially hold genuine insights worthy of investigation.
Moreover, amidst the serious and often austere world of academic research, it is our belief that a touch of whimsy and levity can act as an uncorked bottle of rum in the midst of the sea of scholarly seriousness. So, with a sprinkle of mirth and a splash of data, let us embark upon this statistical swashbuckling adventure and unlock the mysteries behind the improbable connection between political allegiance in Illinois and the exploits of seafaring rogues. By Jove, we promise that this journey will be no mere day at the beach!
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Illinois and Pirate attacks globally. Make lots of jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
The Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study
[[ABSTRACT]]
Ahoy, mateys! In this study, we set sail on the statistical seven seas to uncover the curious connection between Republican votes for Senators in Illinois and the frequency of pirate attacks across the globe. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical adventure and discovered a correlation coefficient of 0.9763142 with a p-value of less than 0.05 for the period spanning 2009 to 2020. So, hop aboard our academic ship as we navigate through the waves of political voting trends and the tumultuous tides of pirate plunder to unravel this quirky correlation. Avast ye, for the results of this study may just shiver your statistical timbers!
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the world of statistical inquiry, it is not uncommon to stumble upon unexpected associations and peculiar correlations. Oftentimes, the pursuit of knowledge leads us down uncharted waters, where the waves of data may reveal surprising interconnections. In this study, we delve into the enigmatic relationship between Republican votes for Senators in Illinois and the seemingly unrelated phenomenon of global pirate attacks. While this union of political preference and maritime mischief may appear as incongruous as a parrot in a boardroom, our investigation has unearthed an intriguing statistical narrative that is as captivating as a treasure map.
The peculiar juxtaposition of Illinois Senatorial voting patterns and global pirate activities may seem as incongruous as a peg-legged pirate trying to navigate a balance sheet. Nevertheless, as scholars, our duty is to greet such statistical curiosities with the same steadfastness that a sea captain displays in the face of a raging tempest. Within the realm of statistical analysis, we must remain open to the possibility that correlations, no matter how unconventional, could potentially hold genuine insights worthy of investigation.
Moreover, amidst the serious and often austere world of academic research, it is our belief that a touch of whimsy and levity can act as an uncorked bottle of rum in the midst of the sea of scholarly seriousness. So, with a sprinkle of mirth and a splash of data, let us embark upon this statistical swashbuckling adventure and unlock the mysteries behind the improbable connection between political allegiance in Illinois and the exploits of seafaring rogues. By Jove, we promise that this journey will be no mere day at the beach!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The research of Smith (2015) delves into the geopolitical dynamics of political voting behavior, specifically focusing on the intricate web of factors that influence electoral outcomes. Doe (2017) examines the historical patterns of global maritime activities, shedding light on the complex interplay between economic incentives and seafaring voyages. In a similar vein, Jones (2019) presents a comprehensive analysis of statistical methods for uncovering unexpected correlations, emphasizing the importance of approaching data with a keen eye for unforeseen connections.
But enough with the serious scholarly discourse already! Let's steer this ship into uncharted waters and navigate through some exciting literary treasures that may shed a comical light on our topic. In "The Pirate Economist" by Milton Friedman (definitely not a real book, but wouldn't it be intriguing if it were?), the fictional adventure of a swashbuckling economist connects the high seas of piratical pursuits with the economic factors driving their daring escapades. And who can forget the classic "Pirates of the Caribbean: The Curse of the Black Pearl," a film that may not offer statistical insights, but certainly adds a sprinkle of Hollywood glamour to our seafaring saga? Then there's "Atlas Shrugged" by Ayn Rand (a real book, just not about pirates), which could provide some entertaining, if tangential, philosophical insights into the rational self-interest of buccaneers.
As we delve into the realm of fiction, one cannot help but ponder the implications of George R.R. Martin's "A Game of Thrones" series (yes, it's a stretch, but play along). The political machinations of Westeros, akin to the power struggles in Illinois, may offer a whimsical parallel to our serious statistical inquiry. And what about the "Pirates of Illinois" (not a real movie, unfortunately), a thrilling tale about a motley crew of elected officials and their quest for political plunder?
In the spirit of statistical inquiry, let us not discount the potential insights from unexpected sources, for even the most ludicrous connections might offer a nugget of wisdom amidst the ocean of data. With a wink and a nod to the unexpected, let's plunge into the statistical depths and uncover the curious relationship between Illinois Republican votes and global pirate exploits. Onward, me hearties, to the statistical treasure trove!
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Illinois and Pirate attacks globally. Make lots of 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 MIT Election Data and Science Lab, Harvard Dataverse and Statista . You used data from 2009 to 2020
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study
[[ABSTRACT]]
Ahoy, mateys! In this study, we set sail on the statistical seven seas to uncover the curious connection between Republican votes for Senators in Illinois and the frequency of pirate attacks across the globe. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical adventure and discovered a correlation coefficient of 0.9763142 with a p-value of less than 0.05 for the period spanning 2009 to 2020. So, hop aboard our academic ship as we navigate through the waves of political voting trends and the tumultuous tides of pirate plunder to unravel this quirky correlation. Avast ye, for the results of this study may just shiver your statistical timbers!
[[INTRODUCTION]]
In the world of statistical inquiry, it is not uncommon to stumble upon unexpected associations and peculiar correlations. Oftentimes, the pursuit of knowledge leads us down uncharted waters, where the waves of data may reveal surprising interconnections. In this study, we delve into the enigmatic relationship between Republican votes for Senators in Illinois and the seemingly unrelated phenomenon of global pirate attacks. While this union of political preference and maritime mischief may appear as incongruous as a parrot in a boardroom, our investigation has unearthed an intriguing statistical narrative that is as captivating as a treasure map.
The peculiar juxtaposition of Illinois Senatorial voting patterns and global pirate activities may seem as incongruous as a peg-legged pirate trying to navigate a balance sheet. Nevertheless, as scholars, our duty is to greet such statistical curiosities with the same steadfastness that a sea captain displays in the face of a raging tempest. Within the realm of statistical analysis, we must remain open to the possibility that correlations, no matter how unconventional, could potentially hold genuine insights worthy of investigation.
Moreover, amidst the serious and often austere world of academic research, it is our belief that a touch of whimsy and levity can act as an uncorked bottle of rum in the midst of the sea of scholarly seriousness. So, with a sprinkle of mirth and a splash of data, let us embark upon this statistical swashbuckling adventure and unlock the mysteries behind the improbable connection between political allegiance in Illinois and the exploits of seafaring rogues. By Jove, we promise that this journey will be no mere day at the beach!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To commence our statistical seafaring expedition, we harnessed the power of data aggregation and analysis to unravel the enigmatic relationship between Illinois Republican votes for Senators and the global prevalence of pirate attacks. Our data sources, including the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, provided us with a wealth of political voting records and maritime mischief statistics spanning the years 2009 to 2020.
In a manner akin to a crew meticulously charting their course on a nautical map, we meticulously assembled and cleaned the data from these diverse sources. With the diligence of a ship's quartermaster taking stock of provisions, we ensured that only the most accurate and reliable information was included in our analysis, discarding any data points that were as suspect as a doubloon with two heads.
We then navigated the treacherous waters of statistical modeling, employing robust techniques to examine the relationship between Illinois Republican votes and global pirate attacks. Our analysis set sail with a bivariate correlation to determine the strength and direction of the association between these seemingly disparate phenomena. Like deft sailors trimming the sails to catch the wind just right, we adjusted for potential confounding variables to ensure that our findings were as seaworthy as a well-crafted vessel.
As our statistical compass pointed us towards significance, we diligently calculated the correlation coefficient and its associated p-value. With the precision of a ship's chronometer, we scrutinized these numerical outputs to ascertain the strength and statistical significance of the uncovered association.
In addition to the bivariate correlation, we sought to explore the relationship through more advanced methodologies, including time series analysis and spatial regression. These approaches allowed us to navigate the temporal and geographical dimensions of the data, revealing insights into how the dynamics between Republican votes in Illinois and global pirate attacks might fluctuate over time and across different regions.
Finally, to ensure the reliability and validity of our findings, we conducted sensitivity analyses and robustness checks, scrutinizing our results with the vigilance of a lookout scanning the horizon for signs of danger. In doing so, we were able to confirm that our observed relationship withstood the rigors of methodological examination, standing firm like a sturdy mast in the face of academic skepticism.
Overall, our methodological approach encapsulated the spirit of a scholarly expedition, combining meticulous data collection and rigorous analysis with a sense of adventure and curiosity. Like intrepid explorers of statistical seas, we steered through uncharted territories to unravel the curious connection between political preferences in the heartland of Illinois and the epic exploits of buccaneers across the globe.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Illinois and Pirate attacks globally. Make lots of 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 MIT Election Data and Science Lab, Harvard Dataverse and Statista .
For the time period 2009 to 2020, you found a correlation 0.9763142, r-squared of 0.9531895, and p < 0.05.
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 Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study
[[ABSTRACT]]
Ahoy, mateys! In this study, we set sail on the statistical seven seas to uncover the curious connection between Republican votes for Senators in Illinois and the frequency of pirate attacks across the globe. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical adventure and discovered a correlation coefficient of 0.9763142 with a p-value of less than 0.05 for the period spanning 2009 to 2020. So, hop aboard our academic ship as we navigate through the waves of political voting trends and the tumultuous tides of pirate plunder to unravel this quirky correlation. Avast ye, for the results of this study may just shiver your statistical timbers!
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the world of statistical inquiry, it is not uncommon to stumble upon unexpected associations and peculiar correlations. Oftentimes, the pursuit of knowledge leads us down uncharted waters, where the waves of data may reveal surprising interconnections. In this study, we delve into the enigmatic relationship between Republican votes for Senators in Illinois and the seemingly unrelated phenomenon of global pirate attacks. While this union of political preference and maritime mischief may appear as incongruous as a parrot in a boardroom, our investigation has unearthed an intriguing statistical narrative that is as captivating as a treasure map.
The peculiar juxtaposition of Illinois Senatorial voting patterns and global pirate activities may seem as incongruous as a peg-legged pirate trying to navigate a balance sheet. Nevertheless, as scholars, our duty is to greet such statistical curiosities with the same steadfastness that a sea captain displays in the face of a raging tempest. Within the realm of statistical analysis, we must remain open to the possibility that correlations, no matter how unconventional, could potentially hold genuine insights worthy of investigation.
Moreover, amidst the serious and often austere world of academic research, it is our belief that a touch of whimsy and levity can act as an uncorked bottle of rum in the midst of the sea of scholarly seriousness. So, with a sprinkle of mirth and a splash of data, let us embark upon this statistical swashbuckling adventure and unlock the mysteries behind the improbable connection between political allegiance in Illinois and the exploits of seafaring rogues. By Jove, we promise that this journey will be no mere day at the beach!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data revealed a remarkably strong correlation between the Republican votes for Senators in Illinois and the frequency of pirate attacks worldwide. The correlation coefficient, r, was calculated to be 0.9763142, indicating an almost near perfect positive linear relationship between these seemingly disparate factors. This statistical discovery was akin to stumbling upon a buried treasure chest in the world of data analysis.
Further supporting the strength of this relationship, the coefficient of determination (r-squared) was found to be 0.9531895. This implies that approximately 95.32% of the variability in the frequency of pirate attacks can be explained by the variation in Republican Senatorial voting patterns in Illinois. It's as if the political winds blowing in the Land of Lincoln exert a significant influence on the roguish exploits of seafaring buccaneers across the globe.
The significance of this correlation was emphatically underscored by the p-value, which was determined to be less than 0.05. This evidence suggests that the observed correlation is unlikely to have occurred due to random chance alone. It appears that there is indeed a substantive relationship between the political preferences of Illinois constituents and the swashbuckling activities of pirates, defying the expectations of conventional wisdom.
In order to visually capture the robust nature of this discovery, a scatterplot (Fig. 1) was constructed to depict the relationship between Republican votes for Senators in Illinois and global pirate attacks. This scatterplot vividly portrays the tightly clustered data points, illustrating the clear and compelling association between these two variables. It's almost as if we've charted a course through uncharted statistical waters and emerged with a map leading straight to the heart of this unexpected correlation.
In conclusion, the results of this study are as surprising as finding a treasure trove in the middle of a cornfield. The evidence unequivocally indicates a substantial and statistically significant connection between Republican votes for Senators in Illinois and the frequency of pirate attacks globally. These findings invite further examination and offer a whimsical yet thought-provoking glimpse into the intersection of political preferences and maritime mischief. As we bid adieu to this statistical odyssey, it is clear that the link between political allegiance and piratical activities is not just a mere mirage on the statistical horizon but a genuine, intriguing tale of data-driven surprise.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Republican votes for Senators in Illinois and Pirate attacks globally. Make lots of 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]]
The Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study
[[ABSTRACT]]
Ahoy, mateys! In this study, we set sail on the statistical seven seas to uncover the curious connection between Republican votes for Senators in Illinois and the frequency of pirate attacks across the globe. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical adventure and discovered a correlation coefficient of 0.9763142 with a p-value of less than 0.05 for the period spanning 2009 to 2020. So, hop aboard our academic ship as we navigate through the waves of political voting trends and the tumultuous tides of pirate plunder to unravel this quirky correlation. Avast ye, for the results of this study may just shiver your statistical timbers!
[[LITERATURE REVIEW]]
The research of Smith (2015) delves into the geopolitical dynamics of political voting behavior, specifically focusing on the intricate web of factors that influence electoral outcomes. Doe (2017) examines the historical patterns of global maritime activities, shedding light on the complex interplay between economic incentives and seafaring voyages. In a similar vein, Jones (2019) presents a comprehensive analysis of statistical methods for uncovering unexpected correlations, emphasizing the importance of approaching data with a keen eye for unforeseen connections.
But enough with the serious scholarly discourse already! Let's steer this ship into uncharted waters and navigate through some exciting literary treasures that may shed a comical light on our topic. In "The Pirate Economist" by Milton Friedman (definitely not a real book, but wouldn't it be intriguing if it were?), the fictional adventure of a swashbuckling economist connects the high seas of piratical pursuits with the economic factors driving their daring escapades. And who can forget the classic "Pirates of the Caribbean: The Curse of the Black Pearl," a film that may not offer statistical insights, but certainly adds a sprinkle of Hollywood glamour to our seafaring saga? Then there's "Atlas Shrugged" by Ayn Rand (a real book, just not about pirates), which could provide some entertaining, if tangential, philosophical insights into the rational self-interest of buccaneers.
As we delve into the realm of fiction, one cannot help but ponder the implications of George R.R. Martin's "A Game of Thrones" series (yes, it's a stretch, but play along). The political machinations of Westeros, akin to the power struggles in Illinois, may offer a whimsical parallel to our serious statistical inquiry. And what about the "Pirates of Illinois" (not a real movie, unfortunately), a thrilling tale about a motley crew of elected officials and their quest for political plunder?
In the spirit of statistical inquiry, let us not discount the potential insights from unexpected sources, for even the most ludicrous connections might offer a nugget of wisdom amidst the ocean of data. With a wink and a nod to the unexpected, let's plunge into the statistical depths and uncover the curious relationship between Illinois Republican votes and global pirate exploits. Onward, me hearties, to the statistical treasure trove!
[[RESULTS]]
The analysis of the data revealed a remarkably strong correlation between the Republican votes for Senators in Illinois and the frequency of pirate attacks worldwide. The correlation coefficient, r, was calculated to be 0.9763142, indicating an almost near perfect positive linear relationship between these seemingly disparate factors. This statistical discovery was akin to stumbling upon a buried treasure chest in the world of data analysis.
Further supporting the strength of this relationship, the coefficient of determination (r-squared) was found to be 0.9531895. This implies that approximately 95.32% of the variability in the frequency of pirate attacks can be explained by the variation in Republican Senatorial voting patterns in Illinois. It's as if the political winds blowing in the Land of Lincoln exert a significant influence on the roguish exploits of seafaring buccaneers across the globe.
The significance of this correlation was emphatically underscored by the p-value, which was determined to be less than 0.05. This evidence suggests that the observed correlation is unlikely to have occurred due to random chance alone. It appears that there is indeed a substantive relationship between the political preferences of Illinois constituents and the swashbuckling activities of pirates, defying the expectations of conventional wisdom.
In order to visually capture the robust nature of this discovery, a scatterplot (Fig. 1) was constructed to depict the relationship between Republican votes for Senators in Illinois and global pirate attacks. This scatterplot vividly portrays the tightly clustered data points, illustrating the clear and compelling association between these two variables. It's almost as if we've charted a course through uncharted statistical waters and emerged with a map leading straight to the heart of this unexpected correlation.
In conclusion, the results of this study are as surprising as finding a treasure trove in the middle of a cornfield. The evidence unequivocally indicates a substantial and statistically significant connection between Republican votes for Senators in Illinois and the frequency of pirate attacks globally. These findings invite further examination and offer a whimsical yet thought-provoking glimpse into the intersection of political preferences and maritime mischief. As we bid adieu to this statistical odyssey, it is clear that the link between political allegiance and piratical activities is not just a mere mirage on the statistical horizon but a genuine, intriguing tale of data-driven surprise.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Arrr, mateys, buckle your statistical swashes because we've come across some intriguing findings in this seafaring saga! As we hoist the anchor and delve into the discussion of our results, it's clear that the correlation between Illinois Republican votes for Senators and global pirate attacks is no mere flight of fancy. In fact, our findings lend robust support to the prior research that hinted at the unexpected connection between seemingly disparate domains.
Our results, with a correlation coefficient of 0.9763142 and a p-value of less than 0.05, jibe with the work of Smith (2015) on the intricate web of political voting behavior. Just as political winds can sway electoral outcomes, it seems these same winds may also ripple across the seven seas, influencing the mischievous exploits of pirates. The statistical evidence provided in this study pulls our prior expectations asunder and invites a deeper contemplation of the far-reaching implications of political preferences on global maritime activities.
But what of the whimsical literary detours we took in our literature review? In a peculiar twist of events, our findings surprisingly align with the fictional tales of swashbuckling economists and the fictional musings on Westerosian political machinations. Perhaps even the most ludicrous connections might offer a nugget of wisdom, as we've uncovered a statistical treasure trove hidden within the data expanse.
With an r-squared value of 0.9531895, our results indicate that approximately 95.32% of the variability in pirate attacks can be explained by the variation in Republican Senatorial voting patterns in Illinois. This high explanatory power is akin to charting a course through uncharted statistical waters and emerging with a map leading straight to the heart of this unexpected correlation.
The significance of this correlation, as evidenced by the p-value, defies the expectations of conventional wisdom and highlights the substantive relationship between political preferences and piratical activities. It's as if we've unearthed a buried treasure chest in the world of statistical analysis, shedding a new light on the enduring influence of political allegiance on maritime mischief.
In sum, our statistical odyssey has uncovered a tale as surprising as finding a treasure trove in the middle of a cornfield. The evidence undeniably indicates a substantial and statistically significant connection between Republican votes for Senators in Illinois and the frequency of pirate attacks globally. These findings open the floodgates to further inquiry and offer a charming yet thought-provoking glimpse into the intersecting realms of political preferences and seafaring adventures. As we bid adieu to this statistical voyage, it is clear that the link between political allegiance and piratical activities is not just a mere mirage on the statistical horizon but a genuine, intriguing tale of data-driven surprise. It seems the winds of statistical fate have blown in our favor, revealing a correlation that even the most swashbuckling skeptics among us would find hard to dismiss.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Republican votes for Senators in Illinois and Pirate attacks globally. Make lots of 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]]
The Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study
[[ABSTRACT]]
Ahoy, mateys! In this study, we set sail on the statistical seven seas to uncover the curious connection between Republican votes for Senators in Illinois and the frequency of pirate attacks across the globe. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical adventure and discovered a correlation coefficient of 0.9763142 with a p-value of less than 0.05 for the period spanning 2009 to 2020. So, hop aboard our academic ship as we navigate through the waves of political voting trends and the tumultuous tides of pirate plunder to unravel this quirky correlation. Avast ye, for the results of this study may just shiver your statistical timbers!
[[INTRDUCTION]]
In the world of statistical inquiry, it is not uncommon to stumble upon unexpected associations and peculiar correlations. Oftentimes, the pursuit of knowledge leads us down uncharted waters, where the waves of data may reveal surprising interconnections. In this study, we delve into the enigmatic relationship between Republican votes for Senators in Illinois and the seemingly unrelated phenomenon of global pirate attacks. While this union of political preference and maritime mischief may appear as incongruous as a parrot in a boardroom, our investigation has unearthed an intriguing statistical narrative that is as captivating as a treasure map.
The peculiar juxtaposition of Illinois Senatorial voting patterns and global pirate activities may seem as incongruous as a peg-legged pirate trying to navigate a balance sheet. Nevertheless, as scholars, our duty is to greet such statistical curiosities with the same steadfastness that a sea captain displays in the face of a raging tempest. Within the realm of statistical analysis, we must remain open to the possibility that correlations, no matter how unconventional, could potentially hold genuine insights worthy of investigation.
Moreover, amidst the serious and often austere world of academic research, it is our belief that a touch of whimsy and levity can act as an uncorked bottle of rum in the midst of the sea of scholarly seriousness. So, with a sprinkle of mirth and a splash of data, let us embark upon this statistical swashbuckling adventure and unlock the mysteries behind the improbable connection between political allegiance in Illinois and the exploits of seafaring rogues. By Jove, we promise that this journey will be no mere day at the beach!
[[RESULTS]]
The analysis of the data revealed a remarkably strong correlation between the Republican votes for Senators in Illinois and the frequency of pirate attacks worldwide. The correlation coefficient, r, was calculated to be 0.9763142, indicating an almost near perfect positive linear relationship between these seemingly disparate factors. This statistical discovery was akin to stumbling upon a buried treasure chest in the world of data analysis.
Further supporting the strength of this relationship, the coefficient of determination (r-squared) was found to be 0.9531895. This implies that approximately 95.32% of the variability in the frequency of pirate attacks can be explained by the variation in Republican Senatorial voting patterns in Illinois. It's as if the political winds blowing in the Land of Lincoln exert a significant influence on the roguish exploits of seafaring buccaneers across the globe.
The significance of this correlation was emphatically underscored by the p-value, which was determined to be less than 0.05. This evidence suggests that the observed correlation is unlikely to have occurred due to random chance alone. It appears that there is indeed a substantive relationship between the political preferences of Illinois constituents and the swashbuckling activities of pirates, defying the expectations of conventional wisdom.
In order to visually capture the robust nature of this discovery, a scatterplot (Fig. 1) was constructed to depict the relationship between Republican votes for Senators in Illinois and global pirate attacks. This scatterplot vividly portrays the tightly clustered data points, illustrating the clear and compelling association between these two variables. It's almost as if we've charted a course through uncharted statistical waters and emerged with a map leading straight to the heart of this unexpected correlation.
In conclusion, the results of this study are as surprising as finding a treasure trove in the middle of a cornfield. The evidence unequivocally indicates a substantial and statistically significant connection between Republican votes for Senators in Illinois and the frequency of pirate attacks globally. These findings invite further examination and offer a whimsical yet thought-provoking glimpse into the intersection of political preferences and maritime mischief. As we bid adieu to this statistical odyssey, it is clear that the link between political allegiance and piratical activities is not just a mere mirage on the statistical horizon but a genuine, intriguing tale of data-driven surprise.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In wrapping up this statistical soiree, it's clear that our findings have pushed the boundaries of unexpected correlations to new frontiers. The remarkably robust correlation between Republican votes for Senators in Illinois and global pirate attacks is as surprising as finding a message in a bottle from a statistical parallel universe.
But before we batten down the hatches on this unorthodox investigation, it's crucial to acknowledge that while correlation does not imply causation, it does invite a hearty round of eyebrow-arching contemplation. Could it be that political fervor in the heartland has a mysterious sway over the swashbuckling activities of scallywags on the high seas? This question flutters in the wind like a tattered Jolly Roger.
As we prepare to dock this scholarly vessel, it is evident that no further research is needed in this curious realm. This statistical escapade has hoisted the sails of hilarity and awe, and we've reached the ultimate statistical X that marks the spot. With a wink and a nod to statistical oddities, we bid adieu to this improbable yet endlessly amusing intersection of landlubber politics and seafaring piracy. Until we chart our next statistical adventure, may the seas of data be ever bountiful and the winds of correlation forever favorable!
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 Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Unconventional Data Analysis
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 Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Quirky Statistical Analysis and Research (SQSAR)
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 Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study with an abstract of Ahoy, mateys! In this study, we set sail on the statistical seven seas to uncover the curious connection between Republican votes for Senators in Illinois and the frequency of pirate attacks across the globe. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical adventure and discovered a correlation coefficient of 0.9763142 with a p-value of less than 0.05 for the period spanning 2009 to 2020. So, hop aboard our academic ship as we navigate through the waves of political voting trends and the tumultuous tides of pirate plunder to unravel this quirky correlation. Avast ye, for the results of this study may just shiver your statistical timbers!
ChatGPT:
Illinois Republican votes, Senators, global pirate attacks, statistical study, correlation, MIT Election Data and Science Lab, Harvard Dataverse, Statista, political voting trends, statistical analysis, correlation coefficient, p-value, 2009-2020 period
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Votes for Republican Senators in IllinoisDetailed data title: Percentage of votes cast for Federal Republican Senate candidates in Illinois
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Republican Senators in Illinois
Pirate attacks globally
Detailed data title: Global Pirate Attack Count
Source: Statista
See what else correlates with Pirate attacks globally
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 = 0.9531895 (Coefficient of determination)
This means 95.3% of the change in the one variable (i.e., Pirate attacks globally) is predictable based on the change in the other (i.e., Votes for Republican Senators in Illinois) over the 4 years from 2009 through 2020.
p < 0.05, which statistically significant(Null hypothesis significance test)
The p-value is 0.024. 0.0236857734266352480000000000
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 0.98 in 2.4% of random cases. Said differently, if you correlated 42 random variables Which I absolutely did.
with the same 3 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 3 because we have two variables measured over a period of 4 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.
[ 0.25, 1 ] 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.
2010 | 2014 | 2016 | 2020 | |
Votes for Republican Senators in Illinois (Percentage of votes) | 48.0149 | 42.695 | 39.7804 | 38.8659 |
Pirate attacks globally (Number of Attacks) | 445 | 245 | 191 | 195 |
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. - Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
- 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([48.0149,42.695,39.7804,38.8659,])
array_2 = np.array([445,245,191,195,])
array_1_name = "Votes for Republican Senators in Illinois"
array_2_name = "Pirate attacks globally"
# 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.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Votes for Republican Senators in Illinois
- Line chart for only Pirate attacks globally
- AI-generated correlation image
- The spurious research paper: The Correlation Between Illinois Republican Votes for Senators and Global Pirate Attacks: A Statistical Swashbuckling Study
Kudos for rating!
Correlation ID: 4358 · Black Variable ID: 26380 · Red Variable ID: 488