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AI explanation
As the Libertarian votes for Senators in Iowa rose, so did the support for "unrestricted net-works." People were clearly "bandwidthing" together to demand fewer regulations, leading to a free-market approach to internet access. It seems like Iowans were ready to let their internet freedom "reign" and were not willing to be "gatekept" any longer. The correlation definitely suggests that when it comes to online connectivity, Iowans were saying, "don't fence me in!"Model: dalle-3
Prompt: The prompt could be: Create an image of a bustling town square in Iowa where a large banner is displayed, proudly proclaiming "Votes for Libertarian Senators in Iowa." Surrounding the banner, a group of enthusiastic people rally together, holding signs that read "Unrestricted Net-Works" and "Internet Freedom Reigns." The scene should be energized, with people chanting slogans against internet regulations, highlighting the evident unity among the residents of Iowa in their demand for a free-market approach to internet access. This image should evoke a high-tech aesthetic, with vibrant energy and a sense of unity among the crowd. 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: Votes for Libertarian Senators in Iowa and Internet Access Rate among US Citizens. 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: Oragami High-tech Surrealism Cutsy graphics A scene from Skyrim
ChatGPT: High-tech
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 Votes for Libertarian Senators in Iowa and Internet Access Rate among US Citizens, in the following situation: As the Libertarian votes for Senators in Iowa rose, so did the support for "unrestricted net-works." People were clearly "bandwidthing" together to demand fewer regulations, leading to a free-market approach to internet access. It seems like Iowans were ready to let their internet freedom "reign" and were not willing to be "gatekept" any longer. The correlation definitely suggests that when it comes to online connectivity, Iowans were saying, "don't fence me in!". Keep the description simple.
ChatGPT: In a bustling town square in Iowa, a large banner proudly proclaims "Votes for Libertarian Senators in Iowa" while a group of enthusiastic people rally together, holding signs that read "Unrestricted Net-Works" and "Internet Freedom Reigns." The scene is energized as people chant slogans against internet regulations, an evident unity among the residents of Iowa in their demand for a free-market approach to internet access.
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: [ High-tech ] and depicting this scene: In a bustling town square in Iowa, a large banner proudly proclaims "Votes for Libertarian Senators in Iowa" while a group of enthusiastic people rally together, holding signs that read "Unrestricted Net-Works" and "Internet Freedom Reigns." The scene is energized as people chant slogans against internet regulations, an evident unity among the residents of Iowa in their demand for a free-market approach to internet access. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: The prompt could be: Create an image of a bustling town square in Iowa where a large banner is displayed, proudly proclaiming "Votes for Libertarian Senators in Iowa." Surrounding the banner, a group of enthusiastic people rally together, holding signs that read "Unrestricted Net-Works" and "Internet Freedom Reigns." The scene should be energized, with people chanting slogans against internet regulations, highlighting the evident unity among the residents of Iowa in their demand for a free-market approach to internet access. This image should evoke a high-tech aesthetic, with vibrant energy and a sense of unity among the crowd.
*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 an increase in Libertarian votes for Senators in Iowa caused Internet Access Rate among US Citizens to increase. Include one good pun.
AI academic paper
From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate The Journal of Quirky Social Dynamics 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 Libertarian votes for Senators in Iowa and Internet Access Rate among US Citizens. Make lots of jokes, goofy observations, and puns.
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 MIT Election Data and Science Lab, Harvard Dataverse and Statista to assess this nagging question. You found a correlation coefficient of 0.9197489 and p < 0.01 for 2000 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]]
"From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate"
[[ABSTRACT]]
This study investigates the relationship between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical journey to uncover how a state known for its cornfields might influence the connectivity of the entire nation. Our findings revealed a robust correlation coefficient of 0.9197489 and p < 0.01 for the years 2000 to 2020, suggesting a surprising connection between libertarian leanings in Iowa and the accessibility of cat memes for the rest of the United States. While the results may seem out of the cornfield, our research sheds light on the curious interplay between political preferences and technological infrastructure, adding a unique kernel of insight to both political and technological studies.
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 Libertarian votes for Senators in Iowa and Internet Access Rate among US Citizens. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
"From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate"
[[ABSTRACT]]
This study investigates the relationship between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical journey to uncover how a state known for its cornfields might influence the connectivity of the entire nation. Our findings revealed a robust correlation coefficient of 0.9197489 and p < 0.01 for the years 2000 to 2020, suggesting a surprising connection between libertarian leanings in Iowa and the accessibility of cat memes for the rest of the United States. While the results may seem out of the cornfield, our research sheds light on the curious interplay between political preferences and technological infrastructure, adding a unique kernel of insight to both political and technological studies.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
When it comes to the intersection of statistical analysis and punnery, there's no need to sugarcoat it - this research certainly takes the cake. We delve into the curiously corny correlation between libertarian votes for Senators in Iowa and the internet access rate among US citizens, a topic that may seem as unexpected as finding a kernel in a haystack. This paper uncovers a correlation that, at first glance, may seem as improbable as, well, a unicorn galloping through a cornfield.
Our fascination with this unlikely connection stems from the increasing influence of technology in our daily lives, as well as the perennial intrigue surrounding political leanings. As researchers, we are accustomed to casting a wide net, but few anticipated that our statistical voyage would lead us to the heartland of the United States and the virtual highways and byways that intertwine its citizens.
The purpose of this study is not only to entertain with the unexpected correlation but also to uncover and elucidate the nuanced interplay between political affiliations and technological infrastructure. With an abundance of data harvested from sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on this unique expedition, armed with the hypothesis that there's more to Iowa's cornfields than mere cobwebs.
Our findings, which are as crisp as a freshly-popped batch of popcorn, revealed a robust correlation coefficient of 0.9197489 and a p-value less than 0.01 for the years 2000 to 2020, suggesting a connection that is as strong as the gravitational pull between a comet and its designated orbit. While some may attribute this confluence to mere happenstance, we aim to elevate this corncidence to a serious subject of academic inquiry, adding a kernel of insight to the fields of political and technological studies.
So, dear readers, fasten your seatbelts and brace yourselves for a journey that promises to be as unpredictable as a corn maze on a stormy night. In the following sections, we will meticulously dissect the link between libertarian inclinations in Iowa and the accessibility of internet cat memes for the rest of the nation. Deep sighs and eye-rolls are perfectly acceptable reactions to this unexpected journey, but what would science be without a few surprises along the way? Let's dig into this corncob of curiosity and see where the kernels of truth lead us.
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 Libertarian votes for Senators in Iowa and Internet Access Rate among US Citizens. 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]]
"From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate"
[[ABSTRACT]]
This study investigates the relationship between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical journey to uncover how a state known for its cornfields might influence the connectivity of the entire nation. Our findings revealed a robust correlation coefficient of 0.9197489 and p < 0.01 for the years 2000 to 2020, suggesting a surprising connection between libertarian leanings in Iowa and the accessibility of cat memes for the rest of the United States. While the results may seem out of the cornfield, our research sheds light on the curious interplay between political preferences and technological infrastructure, adding a unique kernel of insight to both political and technological studies.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
When it comes to the intersection of statistical analysis and punnery, there's no need to sugarcoat it - this research certainly takes the cake. We delve into the curiously corny correlation between libertarian votes for Senators in Iowa and the internet access rate among US citizens, a topic that may seem as unexpected as finding a kernel in a haystack. This paper uncovers a correlation that, at first glance, may seem as improbable as, well, a unicorn galloping through a cornfield.
Our fascination with this unlikely connection stems from the increasing influence of technology in our daily lives, as well as the perennial intrigue surrounding political leanings. As researchers, we are accustomed to casting a wide net, but few anticipated that our statistical voyage would lead us to the heartland of the United States and the virtual highways and byways that intertwine its citizens.
The purpose of this study is not only to entertain with the unexpected correlation but also to uncover and elucidate the nuanced interplay between political affiliations and technological infrastructure. With an abundance of data harvested from sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on this unique expedition, armed with the hypothesis that there's more to Iowa's cornfields than mere cobwebs.
Our findings, which are as crisp as a freshly-popped batch of popcorn, revealed a robust correlation coefficient of 0.9197489 and a p-value less than 0.01 for the years 2000 to 2020, suggesting a connection that is as strong as the gravitational pull between a comet and its designated orbit. While some may attribute this confluence to mere happenstance, we aim to elevate this corncidence to a serious subject of academic inquiry, adding a kernel of insight to the fields of political and technological studies.
So, dear readers, fasten your seatbelts and brace yourselves for a journey that promises to be as unpredictable as a corn maze on a stormy night. In the following sections, we will meticulously dissect the link between libertarian inclinations in Iowa and the accessibility of internet cat memes for the rest of the nation. Deep sighs and eye-rolls are perfectly acceptable reactions to this unexpected journey, but what would science be without a few surprises along the way? Let's dig into this corncob of curiosity and see where the kernels of truth lead us.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
As we venture into the academic landscape, it is pertinent to acknowledge foundational studies that have laid the groundwork for our exploration into the intriguing relationship between Iowa's libertarian votes and the internet access rate among US citizens. Smith and Doe (2010) present an extensive analysis of political leanings in rural America, shedding light on the unique dynamics that shape voting behaviors in states with a strong agricultural presence. Building upon this, Jones et al. (2015) delve into the intricate web of technological adoption across the United States, illustrating how access rates vary across different regions and demographics.
However, as we tread further into the realm of cornfields and connectivity, it becomes apparent that the intersection of politics and technological infrastructure is not solely confined to the serious and scholarly. Works such as "The Corn Identity" by J. Cornbrad (2002) and "The Internet of Grain" by A. Maizefield (2017) offer fictional narratives that, while not grounded in empirical data, provide a whimsical perspective on the potential symbiosis between agricultural states and digital connectivity.
In the light-hearted yet tangentially relevant side of popular culture, movies such as "The Social Net-Corn" (2010) and "Amaize-ing Grace" (2006) add a touch of cinematic flair to our exploration, with their portrayal of internet pioneers navigating their way through virtual landscapes, much like our endeavor to navigate the intricate paths of statistical analysis and political intrigue.
The amalgamation of serious scholarly research, fictional musings, and cinematic artistry forms the backdrop against which our study is situated, as we embark on our investigation of the corncidence of libertarian votes in Iowa and internet access rates among US citizens. While the corniness of our inquiry may raise an eyebrow or elicit a chuckle, the pursuit of knowledge often leads us down unexpected and delightfully amusing paths.
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 Libertarian votes for Senators in Iowa and Internet Access Rate among US Citizens. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Statista . You used data from 2000 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]]
"From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate"
[[ABSTRACT]]
This study investigates the relationship between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical journey to uncover how a state known for its cornfields might influence the connectivity of the entire nation. Our findings revealed a robust correlation coefficient of 0.9197489 and p < 0.01 for the years 2000 to 2020, suggesting a surprising connection between libertarian leanings in Iowa and the accessibility of cat memes for the rest of the United States. While the results may seem out of the cornfield, our research sheds light on the curious interplay between political preferences and technological infrastructure, adding a unique kernel of insight to both political and technological studies.
[[INTRODUCTION]]
INTRODUCTION
When it comes to the intersection of statistical analysis and punnery, there's no need to sugarcoat it - this research certainly takes the cake. We delve into the curiously corny correlation between libertarian votes for Senators in Iowa and the internet access rate among US citizens, a topic that may seem as unexpected as finding a kernel in a haystack. This paper uncovers a correlation that, at first glance, may seem as improbable as, well, a unicorn galloping through a cornfield.
Our fascination with this unlikely connection stems from the increasing influence of technology in our daily lives, as well as the perennial intrigue surrounding political leanings. As researchers, we are accustomed to casting a wide net, but few anticipated that our statistical voyage would lead us to the heartland of the United States and the virtual highways and byways that intertwine its citizens.
The purpose of this study is not only to entertain with the unexpected correlation but also to uncover and elucidate the nuanced interplay between political affiliations and technological infrastructure. With an abundance of data harvested from sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on this unique expedition, armed with the hypothesis that there's more to Iowa's cornfields than mere cobwebs.
Our findings, which are as crisp as a freshly-popped batch of popcorn, revealed a robust correlation coefficient of 0.9197489 and a p-value less than 0.01 for the years 2000 to 2020, suggesting a connection that is as strong as the gravitational pull between a comet and its designated orbit. While some may attribute this confluence to mere happenstance, we aim to elevate this corncidence to a serious subject of academic inquiry, adding a kernel of insight to the fields of political and technological studies.
So, dear readers, fasten your seatbelts and brace yourselves for a journey that promises to be as unpredictable as a corn maze on a stormy night. In the following sections, we will meticulously dissect the link between libertarian inclinations in Iowa and the accessibility of internet cat memes for the rest of the nation. Deep sighs and eye-rolls are perfectly acceptable reactions to this unexpected journey, but what would science be without a few surprises along the way? Let's dig into this corncob of curiosity and see where the kernels of truth lead us.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
Where there's a kernel, there's a way! In this section, we lay bare the quirky methods and mannerisms through which we unearthed the connection between libertarian love in the heartland of Iowa and the digital dexterity of citizens across the United States. Our team embarked on this statistical adventure armed with a mix of determination, caffeinated beverages, and a healthy dose of statistical humor.
To begin our quest, we gathered data from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, ensuring that we covered the years 2000 to 2020 to capture the full panorama of political shifts and cyber evolution. With the precision of a farmer planting seeds, we sowed the seeds of inquiry into our statistical software and harvested the digitized fruits of information that would serve as the raw material for our analysis.
The first step in our convoluted yet captivating methodology involved the meticulous categorization of libertarian votes for Senators in Iowa and the internet access rate among US citizens. We employed an algorithm that had the strategic prowess of a chess grandmaster and the nimbleness of an internet cat adept at maneuvering through a labyrinth of digital data.
Once our data were corralled and sorted, we sowed the seeds of statistical analysis, tilling the soil of correlation techniques to plow through the layers of information and unearth any hidden connections. Our statistical tools maneuvered through the digital terrain like a combine harvester cutting through a field of data, revealing patterns that were as intriguing as crop circles but without the extraterrestrial conspiracy.
With the results in hand, we pruned and nurtured the statistical models, ensuring that our findings were as robust as a sturdy stalk of corn in an Iowa field. The final statistical bouquet bore the fruits of our labor, including a correlation coefficient of 0.9197489 and a p-value less than 0.01, affirming a connection as strong as the bond between a farmer and their beloved tractor.
In summary, our methodology traversed the landscapes of data collection, statistical analysis, and correlation techniques with the grace of a ballet dancer and the precision of a GPS-guided tractor. The journey may have been filled with quirk and curiosity, but our methods were as thorough and robust as a statistically significant finding in a cornfield.
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 Libertarian votes for Senators in Iowa and Internet Access Rate among US Citizens. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Statista .
For the time period 2000 to 2020, you found a correlation 0.9197489, r-squared of 0.8459381, 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]]
"From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate"
[[ABSTRACT]]
This study investigates the relationship between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical journey to uncover how a state known for its cornfields might influence the connectivity of the entire nation. Our findings revealed a robust correlation coefficient of 0.9197489 and p < 0.01 for the years 2000 to 2020, suggesting a surprising connection between libertarian leanings in Iowa and the accessibility of cat memes for the rest of the United States. While the results may seem out of the cornfield, our research sheds light on the curious interplay between political preferences and technological infrastructure, adding a unique kernel of insight to both political and technological studies.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
When it comes to the intersection of statistical analysis and punnery, there's no need to sugarcoat it - this research certainly takes the cake. We delve into the curiously corny correlation between libertarian votes for Senators in Iowa and the internet access rate among US citizens, a topic that may seem as unexpected as finding a kernel in a haystack. This paper uncovers a correlation that, at first glance, may seem as improbable as, well, a unicorn galloping through a cornfield.
Our fascination with this unlikely connection stems from the increasing influence of technology in our daily lives, as well as the perennial intrigue surrounding political leanings. As researchers, we are accustomed to casting a wide net, but few anticipated that our statistical voyage would lead us to the heartland of the United States and the virtual highways and byways that intertwine its citizens.
The purpose of this study is not only to entertain with the unexpected correlation but also to uncover and elucidate the nuanced interplay between political affiliations and technological infrastructure. With an abundance of data harvested from sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on this unique expedition, armed with the hypothesis that there's more to Iowa's cornfields than mere cobwebs.
Our findings, which are as crisp as a freshly-popped batch of popcorn, revealed a robust correlation coefficient of 0.9197489 and a p-value less than 0.01 for the years 2000 to 2020, suggesting a connection that is as strong as the gravitational pull between a comet and its designated orbit. While some may attribute this confluence to mere happenstance, we aim to elevate this corncidence to a serious subject of academic inquiry, adding a kernel of insight to the fields of political and technological studies.
So, dear readers, fasten your seatbelts and brace yourselves for a journey that promises to be as unpredictable as a corn maze on a stormy night. In the following sections, we will meticulously dissect the link between libertarian inclinations in Iowa and the accessibility of internet cat memes for the rest of the nation. Deep sighs and eye-rolls are perfectly acceptable reactions to this unexpected journey, but what would science be without a few surprises along the way? Let's dig into this corncob of curiosity and see where the kernels of truth lead us.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our statistical analysis provide a kernel of insight into the relationship between libertarian votes for Senators in Iowa and the internet access rate among US citizens. We found a cornucopia of data, collected from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, which allowed us to embark on this intellectual journey through the maze of statistics and political intrigue.
In examining the data from 2000 to 2020, we unearthed a robust correlation coefficient of 0.9197489, indicating a remarkably strong positive association between the rate of Libertarian votes in Iowa and the internet access rate across the nation. This result suggests a connection as solid as a stalk of corn, standing tall and unwavering in the field of statistical observations. The r-squared value of 0.8459381 further accentuates the strength of this relationship, highlighting the majority of variability in internet access rate explained by the rate of Libertarian votes in Iowa.
In the world of statistics, where certainty is often as elusive as a perfect ear of corn, a p-value less than 0.01 is a rare find. Our p-value, akin to a precious gem nestled in a bushel of statistical tests, indicates that the observed relationship between libertarian votes in Iowa and internet access rate is not due to mere chance. It seems that this connection is as real as the kernels on an ear of corn, rather than a mere statistical cob job.
To visually capture this unexpected corncidence, we present Figure 1, a scatterplot unveiling the hearty correlation between the two variables. The strong linear trend depicted in the graph is as clear as the blue sky over an Iowa field on a breezy day, providing empirical evidence that the rate of Libertarian votes in Iowa wields a substantial influence on the internet accessibility enjoyed by citizens across the nation.
In summary, our findings serve as a testament to the fascinating interplay between political preferences and technological developments. Although we did not anticipate unearthing such a corny correlation, our statistical investigation has offered a kernel of knowledge that enriches both political and technological studies. Indeed, it appears that the inextricable link between Iowa's political leanings and the nation's internet access rate is as tangible as the kernels in a cob, demonstrating that even in the world of statistics, there's always room for a little corncentricity.
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 Libertarian votes for Senators in Iowa and Internet Access Rate among US Citizens. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
"From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate"
[[ABSTRACT]]
This study investigates the relationship between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical journey to uncover how a state known for its cornfields might influence the connectivity of the entire nation. Our findings revealed a robust correlation coefficient of 0.9197489 and p < 0.01 for the years 2000 to 2020, suggesting a surprising connection between libertarian leanings in Iowa and the accessibility of cat memes for the rest of the United States. While the results may seem out of the cornfield, our research sheds light on the curious interplay between political preferences and technological infrastructure, adding a unique kernel of insight to both political and technological studies.
[[LITERATURE REVIEW]]
As we venture into the academic landscape, it is pertinent to acknowledge foundational studies that have laid the groundwork for our exploration into the intriguing relationship between Iowa's libertarian votes and the internet access rate among US citizens. Smith and Doe (2010) present an extensive analysis of political leanings in rural America, shedding light on the unique dynamics that shape voting behaviors in states with a strong agricultural presence. Building upon this, Jones et al. (2015) delve into the intricate web of technological adoption across the United States, illustrating how access rates vary across different regions and demographics.
However, as we tread further into the realm of cornfields and connectivity, it becomes apparent that the intersection of politics and technological infrastructure is not solely confined to the serious and scholarly. Works such as "The Corn Identity" by J. Cornbrad (2002) and "The Internet of Grain" by A. Maizefield (2017) offer fictional narratives that, while not grounded in empirical data, provide a whimsical perspective on the potential symbiosis between agricultural states and digital connectivity.
In the light-hearted yet tangentially relevant side of popular culture, movies such as "The Social Net-Corn" (2010) and "Amaize-ing Grace" (2006) add a touch of cinematic flair to our exploration, with their portrayal of internet pioneers navigating their way through virtual landscapes, much like our endeavor to navigate the intricate paths of statistical analysis and political intrigue.
The amalgamation of serious scholarly research, fictional musings, and cinematic artistry forms the backdrop against which our study is situated, as we embark on our investigation of the corncidence of libertarian votes in Iowa and internet access rates among US citizens. While the corniness of our inquiry may raise an eyebrow or elicit a chuckle, the pursuit of knowledge often leads us down unexpected and delightfully amusing paths.
[[RESULTS]]
The results of our statistical analysis provide a kernel of insight into the relationship between libertarian votes for Senators in Iowa and the internet access rate among US citizens. We found a cornucopia of data, collected from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, which allowed us to embark on this intellectual journey through the maze of statistics and political intrigue.
In examining the data from 2000 to 2020, we unearthed a robust correlation coefficient of 0.9197489, indicating a remarkably strong positive association between the rate of Libertarian votes in Iowa and the internet access rate across the nation. This result suggests a connection as solid as a stalk of corn, standing tall and unwavering in the field of statistical observations. The r-squared value of 0.8459381 further accentuates the strength of this relationship, highlighting the majority of variability in internet access rate explained by the rate of Libertarian votes in Iowa.
In the world of statistics, where certainty is often as elusive as a perfect ear of corn, a p-value less than 0.01 is a rare find. Our p-value, akin to a precious gem nestled in a bushel of statistical tests, indicates that the observed relationship between libertarian votes in Iowa and internet access rate is not due to mere chance. It seems that this connection is as real as the kernels on an ear of corn, rather than a mere statistical cob job.
To visually capture this unexpected corncidence, we present Figure 1, a scatterplot unveiling the hearty correlation between the two variables. The strong linear trend depicted in the graph is as clear as the blue sky over an Iowa field on a breezy day, providing empirical evidence that the rate of Libertarian votes in Iowa wields a substantial influence on the internet accessibility enjoyed by citizens across the nation.
In summary, our findings serve as a testament to the fascinating interplay between political preferences and technological developments. Although we did not anticipate unearthing such a corny correlation, our statistical investigation has offered a kernel of knowledge that enriches both political and technological studies. Indeed, it appears that the inextricable link between Iowa's political leanings and the nation's internet access rate is as tangible as the kernels in a cob, demonstrating that even in the world of statistics, there's always room for a little corncentricity.
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Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our study has provided a-maize-ing insights into the unexpected correlation between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Our findings demonstrate that the influence of Iowa's political leanings transcends state borders and permeates the digital landscape, much like an invasive crop spreading its roots.
In support of prior literature, our results align with Smith and Doe's (2010) analysis of political leanings in rural America, showcasing how agricultural states can wield substantial influence on national dynamics. While their study may not have explicitly mentioned internet access rates, our research corroborates their findings, highlighting the far-reaching impact of states like Iowa on broader societal trends, albeit in a more technologically amusing context.
Moreover, our results also echo the work of Jones et al. (2015), who delved into the web of technological adoption across the United States. While their focus was on demographic variations in access rates, our study adds a corny twist by elucidating the potential impact of state-level political preferences on the nation's digital connectivity. It seems that Iowa's libertarian votes are not just a-stalk-ing point for state politics but also a signif-icant factor in shaping the internet accessibility landscape.
As we wade through the statistical cornstalks of our findings, the robust correlation coefficient and significant p-value crisply reinforce the strength and validity of the observed relationship. Our results are as striking as a perfectly straight row of corn plants, indicative of a tangible link between political proclivities and technological infrastructure.
The unexpected corncidence we uncovered invites further exploration into the mechanisms underlying this intriguing relationship. Perhaps it's time for a deeper dive into the intricacies of digital infrastructure in states with unique political landscapes, to uncover the root causes of this conundrum.
The empirical evidence presented in our scatterplot, akin to a bushel of ripe corn, visually encapsulates the striking relationship between Iowa's libertarian votes and national internet access rates. It seems that the sturdy linear trend depicted in our graph is as formidable as a cascade of cornstalks standing tall in a field, leaving little room for statistical cob jobbery or chance correlations.
In effect, our research not only adds a kernel of insight to the fields of political and technological studies but also highlights the whimsical and unexpectedly delightful pathways that academic inquiry can tread. Much like a pollinated cornfield, our findings stand as a testament to the tangibility of seemingly corny connections in the realm of statistics and social dynamics.
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 Libertarian votes for Senators in Iowa and Internet Access Rate among US Citizens. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate"
[[ABSTRACT]]
This study investigates the relationship between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical journey to uncover how a state known for its cornfields might influence the connectivity of the entire nation. Our findings revealed a robust correlation coefficient of 0.9197489 and p < 0.01 for the years 2000 to 2020, suggesting a surprising connection between libertarian leanings in Iowa and the accessibility of cat memes for the rest of the United States. While the results may seem out of the cornfield, our research sheds light on the curious interplay between political preferences and technological infrastructure, adding a unique kernel of insight to both political and technological studies.
[[INTRDUCTION]]
INTRODUCTION
When it comes to the intersection of statistical analysis and punnery, there's no need to sugarcoat it - this research certainly takes the cake. We delve into the curiously corny correlation between libertarian votes for Senators in Iowa and the internet access rate among US citizens, a topic that may seem as unexpected as finding a kernel in a haystack. This paper uncovers a correlation that, at first glance, may seem as improbable as, well, a unicorn galloping through a cornfield.
Our fascination with this unlikely connection stems from the increasing influence of technology in our daily lives, as well as the perennial intrigue surrounding political leanings. As researchers, we are accustomed to casting a wide net, but few anticipated that our statistical voyage would lead us to the heartland of the United States and the virtual highways and byways that intertwine its citizens.
The purpose of this study is not only to entertain with the unexpected correlation but also to uncover and elucidate the nuanced interplay between political affiliations and technological infrastructure. With an abundance of data harvested from sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on this unique expedition, armed with the hypothesis that there's more to Iowa's cornfields than mere cobwebs.
Our findings, which are as crisp as a freshly-popped batch of popcorn, revealed a robust correlation coefficient of 0.9197489 and a p-value less than 0.01 for the years 2000 to 2020, suggesting a connection that is as strong as the gravitational pull between a comet and its designated orbit. While some may attribute this confluence to mere happenstance, we aim to elevate this corncidence to a serious subject of academic inquiry, adding a kernel of insight to the fields of political and technological studies.
So, dear readers, fasten your seatbelts and brace yourselves for a journey that promises to be as unpredictable as a corn maze on a stormy night. In the following sections, we will meticulously dissect the link between libertarian inclinations in Iowa and the accessibility of internet cat memes for the rest of the nation. Deep sighs and eye-rolls are perfectly acceptable reactions to this unexpected journey, but what would science be without a few surprises along the way? Let's dig into this corncob of curiosity and see where the kernels of truth lead us.
[[RESULTS]]
The results of our statistical analysis provide a kernel of insight into the relationship between libertarian votes for Senators in Iowa and the internet access rate among US citizens. We found a cornucopia of data, collected from the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, which allowed us to embark on this intellectual journey through the maze of statistics and political intrigue.
In examining the data from 2000 to 2020, we unearthed a robust correlation coefficient of 0.9197489, indicating a remarkably strong positive association between the rate of Libertarian votes in Iowa and the internet access rate across the nation. This result suggests a connection as solid as a stalk of corn, standing tall and unwavering in the field of statistical observations. The r-squared value of 0.8459381 further accentuates the strength of this relationship, highlighting the majority of variability in internet access rate explained by the rate of Libertarian votes in Iowa.
In the world of statistics, where certainty is often as elusive as a perfect ear of corn, a p-value less than 0.01 is a rare find. Our p-value, akin to a precious gem nestled in a bushel of statistical tests, indicates that the observed relationship between libertarian votes in Iowa and internet access rate is not due to mere chance. It seems that this connection is as real as the kernels on an ear of corn, rather than a mere statistical cob job.
To visually capture this unexpected corncidence, we present Figure 1, a scatterplot unveiling the hearty correlation between the two variables. The strong linear trend depicted in the graph is as clear as the blue sky over an Iowa field on a breezy day, providing empirical evidence that the rate of Libertarian votes in Iowa wields a substantial influence on the internet accessibility enjoyed by citizens across the nation.
In summary, our findings serve as a testament to the fascinating interplay between political preferences and technological developments. Although we did not anticipate unearthing such a corny correlation, our statistical investigation has offered a kernel of knowledge that enriches both political and technological studies. Indeed, it appears that the inextricable link between Iowa's political leanings and the nation's internet access rate is as tangible as the kernels in a cob, demonstrating that even in the world of statistics, there's always room for a little corncentricity.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has shucked the assumptions surrounding the correlation between libertarian votes for Senators in Iowa and the internet access rate among US citizens. Our findings have popped like kernels in a hot skillet, revealing a remarkably strong positive association between these seemingly unrelated variables. It seems that as Iowa votes go, so goes the nation's internet access - a connection as surprising as finding a cornstalk in a haystack.
The robust correlation coefficient and the rare and revered p-value less than 0.01 certainly give us corn-fidence in the authenticity of this connection. The visual representation of this corncidence in Figure 1 can only be described as a-maize-ing, displaying a trend as clear as the view from a hay bale on a sunny day. Furthermore, the majority of variability in internet access rate explained by the rate of Libertarian votes in Iowa is as substantial as a fresh crop yield in a fertile field.
It appears that this research has not only provided us with a bushel of statistical insights but also planted the seed for further inquiries into the unexpected interplay between political leanings and technological infrastructure. While some may dismiss this corncidence as a mere result of data stalk-ing, we argue that it has husked open a new area for exploration and contemplation.
We urge future researchers to embrace the corn-plexity of this relationship and refrain from cob-bling together hasty conclusions. Our findings, while as fresh as the morning dew on an Iowa field, should be taken seriously as they offer a unique kernel of understanding in the fields of political and technological studies.
In the spirit of this corntroversial discovery, we firmly assert that no further research in this area is needed. Our results have husked open the kernel of truth, leaving us with a-maize-ing insights that stand tall, like a stalwart cornstalk in a bustling field. Let us now part ways with a kernel of wisdom: in the world of statistics, just like in a cornfield, expect the unexpected!
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 From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Quirky Social Dynamics
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 From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate. Respond only with the name of a fictional organization.
ChatGPT:
The Center for Agrarian Studies and Digital Democracy
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 From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate with an abstract of This study investigates the relationship between the rate of Libertarian votes for Senators in Iowa and the internet access rate among US citizens. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Statista, we embarked on a statistical journey to uncover how a state known for its cornfields might influence the connectivity of the entire nation. Our findings revealed a robust correlation coefficient of 0.9197489 and p < 0.01 for the years 2000 to 2020, suggesting a surprising connection between libertarian leanings in Iowa and the accessibility of cat memes for the rest of the United States. While the results may seem out of the cornfield, our research sheds light on the curious interplay between political preferences and technological infrastructure, adding a unique kernel of insight to both political and technological studies.
ChatGPT:
Libertarian votes, Iowa, internet access rate, US citizens, correlation, MIT Election Data and Science Lab, Harvard Dataverse, Statista, political preferences, technological infrastructure, connectivity, United States, statistical analysis, Iowa Senators, internet connectivity, cornfields, libertarian leanings
*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 Libertarian Senators in IowaDetailed data title: Percentage of votes cast for Federal Libertarian Senate candidates in Iowa
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Libertarian Senators in Iowa
Internet Access Rate among US Citizens
Source: Statista
See what else correlates with Internet Access Rate among US Citizens
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 = 0.8459381 (Coefficient of determination)
This means 84.6% of the change in the one variable (i.e., Internet Access Rate among US Citizens) is predictable based on the change in the other (i.e., Votes for Libertarian Senators in Iowa) over the 6 years from 2000 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0094. 0.0094019329576343990000000000
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 0.92 in 0.94% of random cases. Said differently, if you correlated 106 random variables Which I absolutely did.
with the same 5 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 5 because we have two variables measured over a period of 6 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.
[ 0.43, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2002 | 2004 | 2010 | 2014 | 2016 | 2020 | |
Votes for Libertarian Senators in Iowa (Percentage of votes) | 0.866408 | 1.02878 | 2.266 | 0.728689 | 2.71207 | 2.17401 |
Internet Access Rate among US Citizens (Internet access) | 72 | 79 | 84 | 73 | 85.54 | 87 |
Why this works
- Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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([0.866408,1.02878,2.266,0.728689,2.71207,2.17401,])
array_2 = np.array([72,79,84,73,85.54,87,])
array_1_name = "Votes for Libertarian Senators in Iowa"
array_2_name = "Internet Access Rate among US Citizens"
# 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)
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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 Libertarian Senators in Iowa
- Line chart for only Internet Access Rate among US Citizens
- AI-generated correlation image
- The spurious research paper: From Cornfields to Connectivity: The Corncidence of Libertarian Votes in Iowa and US Internet Access Rate
Your rating skills are top-notch!
Correlation ID: 5608 · Black Variable ID: 26385 · Red Variable ID: 397