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AI explanation
Every time someone named Astrid gained popularity, they unknowingly possessed the unique ability to harness the wind's energy. As more and more little Astrids ran around, a swirling cyclone of power was created, directly impacting the wind turbines in Ukraine. It seems that the name Astrid was just destined to blow everyone away with its electrifying influence on renewable energy!
Model: dalle-3
Prompt: Prompt: Generate a pop art style image of a bustling Ukrainian city with wind turbines standing tall against the blue sky. In the foreground, a vibrant park is filled with children of various ages playing and calling out to each other. Among them, a few young girls proudly respond to the name Astrid, a name that has become increasingly popular in the country. 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: Popularity of the first name Astrid and Wind power generated in Ukraine. 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: Vaporwave Cyberpunk Cutsy graphics Oragami Pop art
ChatGPT: Pop art
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Astrid and Wind power generated in Ukraine, in the following situation: As the name Astrid gained popularity, more parents were inspired to name their kids after the Norse goddess of storms. This led to an increase in windy energy that Ukraine harnessed for wind power, creating a gale of renewable energy.. Keep the description simple.
ChatGPT: In a bustling Ukrainian city, wind turbines stand tall against the blue sky. The blades spin gracefully, harnessing the powerful gusts of wind. Meanwhile, in a nearby park, children of various ages play and call out to each other. Among them, a few young girls proudly respond to the name Astrid, a name that has become increasingly popular in the country.
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: [ Pop art ] and depicting this scene: In a bustling Ukrainian city, wind turbines stand tall against the blue sky. The blades spin gracefully, harnessing the powerful gusts of wind. Meanwhile, in a nearby park, children of various ages play and call out to each other. Among them, a few young girls proudly respond to the name Astrid, a name that has become increasingly popular in the country. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate a pop art style image of a bustling Ukrainian city with wind turbines standing tall against the blue sky. In the foreground, a vibrant park is filled with children of various ages playing and calling out to each other. Among them, a few young girls proudly respond to the name Astrid, a name that has become increasingly popular in the country.
*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 Popularity of the first name Astrid caused Wind power generated in Ukraine to increase. Make it feel plausible.
AI academic paper
 |
Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine The Journal of Renewable Energy and Atmospheric 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 Popularity of the first name Astrid and Wind power generated in Ukraine. Make lots of jokes, goofy observations, and puns.
Make the title a clever pun.
Your research team used data from US Social Security Administration and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9665335 and p < 0.01 for 1998 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine
[[ABSTRACT]]
This paper aims to unravel the potential relationship between the popularity of the first name Astrid and the wind power generated in Ukraine. By analyzing data from the US Social Security Administration and the Energy Information Administration, we found a surprisingly strong correlation between the two variables, with a correlation coefficient of 0.9665335 and a p-value of less than 0.01 for the years 1998 to 2021. Our findings suggest that there may be an underlying connection between the name Astrid and the generation of wind power. This unexpected correlation beckons further investigation into the curious interconnectedness of seemingly unrelated phenomena. As researchers, we invite you to join us in the whimsical exploration of this intriguing relationship and perhaps, blow a little wind into the sails of your next research endeavor.
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 Popularity of the first name Astrid and Wind power generated in Ukraine. Make lots of jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine
[[ABSTRACT]]
This paper aims to unravel the potential relationship between the popularity of the first name Astrid and the wind power generated in Ukraine. By analyzing data from the US Social Security Administration and the Energy Information Administration, we found a surprisingly strong correlation between the two variables, with a correlation coefficient of 0.9665335 and a p-value of less than 0.01 for the years 1998 to 2021. Our findings suggest that there may be an underlying connection between the name Astrid and the generation of wind power. This unexpected correlation beckons further investigation into the curious interconnectedness of seemingly unrelated phenomena. As researchers, we invite you to join us in the whimsical exploration of this intriguing relationship and perhaps, blow a little wind into the sails of your next research endeavor.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the world of academic research, we often strive to uncover the obscure and the unexpected, the hidden patterns that may lie beneath the surface of seemingly disparate phenomena. Our endeavor today is no exception, as we embark on a whimsical journey into the world of names and energy production. Yes, you heard it right - we are delving into the curious connection between the popularity of the first name Astrid and the wind power generated in Ukraine. A peculiar pairing, you might say, but as the saying goes, "the wind bloweth where it listeth," and it seems that it may also be influenced by the rise and fall of a particular name.
The idea for this research was not born out of thin air (pun intended), but rather from a serendipitous encounter with statistical data that piqued our curiosity. As we delved into the archives of the US Social Security Administration and the Energy Information Administration, we found ourselves in the midst of a statistical whirlwind, where the winds of Astrid's popularity and Ukraine's energy production seemed to dance in remarkably close tandem. The correlation coefficient of 0.9665335 beckoned to us like a siren's call, drawing us into the captivating world of unexpected associations.
But why, you might wonder, should there be any link between a name and the generation of wind power in a distant land? As researchers, we too were initially skeptical, yet the data spoke louder than our doubts. The winds of correlation blew in our faces, demanding attention and inviting speculation. Could it be a mere coincidence, a statistical quirk to be dismissed with a shrug and a chuckle? Or perhaps, just perhaps, there is an underlying force at play that transcends our understanding and tickles the funny bone of causality.
With this paper, we invite you, our esteemed colleagues, to join us in this lighthearted yet thought-provoking exploration. Let us set sail on the sea of whimsy, propelled by the breezy enigma of Astrid's allure and Ukraine's wind power. As we navigate the waves of data and statistical analysis, may we not only uncover the truth behind this surprising correlation but also revel in the delightful irony of our scholarly pursuits. After all, in the world of academia, where else would one find a gust of wind that carries the name Astrid and the energy of Ukraine together in a whimsical waltz of statistical curiosity?
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 Popularity of the first name Astrid and Wind power generated in Ukraine. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.
Here is the title and abstract of the paper:
[[TITLE]]
Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine
[[ABSTRACT]]
This paper aims to unravel the potential relationship between the popularity of the first name Astrid and the wind power generated in Ukraine. By analyzing data from the US Social Security Administration and the Energy Information Administration, we found a surprisingly strong correlation between the two variables, with a correlation coefficient of 0.9665335 and a p-value of less than 0.01 for the years 1998 to 2021. Our findings suggest that there may be an underlying connection between the name Astrid and the generation of wind power. This unexpected correlation beckons further investigation into the curious interconnectedness of seemingly unrelated phenomena. As researchers, we invite you to join us in the whimsical exploration of this intriguing relationship and perhaps, blow a little wind into the sails of your next research endeavor.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the world of academic research, we often strive to uncover the obscure and the unexpected, the hidden patterns that may lie beneath the surface of seemingly disparate phenomena. Our endeavor today is no exception, as we embark on a whimsical journey into the world of names and energy production. Yes, you heard it right - we are delving into the curious connection between the popularity of the first name Astrid and the wind power generated in Ukraine. A peculiar pairing, you might say, but as the saying goes, "the wind bloweth where it listeth," and it seems that it may also be influenced by the rise and fall of a particular name.
The idea for this research was not born out of thin air (pun intended), but rather from a serendipitous encounter with statistical data that piqued our curiosity. As we delved into the archives of the US Social Security Administration and the Energy Information Administration, we found ourselves in the midst of a statistical whirlwind, where the winds of Astrid's popularity and Ukraine's energy production seemed to dance in remarkably close tandem. The correlation coefficient of 0.9665335 beckoned to us like a siren's call, drawing us into the captivating world of unexpected associations.
But why, you might wonder, should there be any link between a name and the generation of wind power in a distant land? As researchers, we too were initially skeptical, yet the data spoke louder than our doubts. The winds of correlation blew in our faces, demanding attention and inviting speculation. Could it be a mere coincidence, a statistical quirk to be dismissed with a shrug and a chuckle? Or perhaps, just perhaps, there is an underlying force at play that transcends our understanding and tickles the funny bone of causality.
With this paper, we invite you, our esteemed colleagues, to join us in this lighthearted yet thought-provoking exploration. Let us set sail on the sea of whimsy, propelled by the breezy enigma of Astrid's allure and Ukraine's wind power. As we navigate the waves of data and statistical analysis, may we not only uncover the truth behind this surprising correlation but also revel in the delightful irony of our scholarly pursuits. After all, in the world of academia, where else would one find a gust of wind that carries the name Astrid and the energy of Ukraine together in a whimsical waltz of statistical curiosity?
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "Smith et al. (2017)," the authors find a correlation between the popularity of given names and various societal and cultural factors. The study provides a comprehensive analysis of naming trends and their potential implications for broader social dynamics. Similarly, Doe and Jones (2019) delve into the cultural significance of names and their impact on individual and collective identities, shedding light on the intricate interplay between nomenclature and societal phenomena.
Turning to more specific domains, "Wind Power and Renewable Energy" by Brown and Green (2018) offers a comprehensive overview of wind energy's role in the global renewable energy landscape. Additionally, "Ukrainian Energy Economics" by Black and White (2016) provides valuable insights into the factors influencing energy production in Ukraine.
Furthermore, in the realm of fiction, novels such as "The Kite Runner" by Khaled Hosseini and "Gone with the Wind" by Margaret Mitchell may seem unrelated at first glance, but their thematic undercurrents of resilience and change align with the notion of wind's influence and the enduring popularity of certain names. While these literary works may not provide direct empirical evidence, their exploration of human experiences resonates with the broader theme of interconnectedness that underpins this investigation.
In an unexpected turn, our literature review extends to unconventional sources, including but not limited to, the haphazardly discarded grocery lists and enigmatic scribbles on the back of cafe napkins. We even dared to delve into the esoteric realm of ancient scrolls purported to hold the secrets of name-weather correlations, and, yes, the nonsensical ramblings on CVS receipts. While their scholarly merits may be debatable, these sources added a touch of absurdity to our pursuit of understanding the intriguing correlation between the name Astrid and wind power in Ukraine. As we sifted through these unorthodox repositories of wisdom, we remain vigilant in our search for the comic relief that often hides in the unlikeliest of places.
Thus, with a lighthearted spirit and a penchant for whimsical inquiry, this literature review encompasses a range of sources, from the academic to the unconventional, as we endeavor to unravel the enigmatic relationship between the name Astrid and the generation of wind power in Ukraine.
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 Popularity of the first name Astrid and Wind power generated in Ukraine. Make lots of jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and Energy Information Administration . You used data from 1998 to 2021
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine
[[ABSTRACT]]
This paper aims to unravel the potential relationship between the popularity of the first name Astrid and the wind power generated in Ukraine. By analyzing data from the US Social Security Administration and the Energy Information Administration, we found a surprisingly strong correlation between the two variables, with a correlation coefficient of 0.9665335 and a p-value of less than 0.01 for the years 1998 to 2021. Our findings suggest that there may be an underlying connection between the name Astrid and the generation of wind power. This unexpected correlation beckons further investigation into the curious interconnectedness of seemingly unrelated phenomena. As researchers, we invite you to join us in the whimsical exploration of this intriguing relationship and perhaps, blow a little wind into the sails of your next research endeavor.
[[INTRODUCTION]]
In the world of academic research, we often strive to uncover the obscure and the unexpected, the hidden patterns that may lie beneath the surface of seemingly disparate phenomena. Our endeavor today is no exception, as we embark on a whimsical journey into the world of names and energy production. Yes, you heard it right - we are delving into the curious connection between the popularity of the first name Astrid and the wind power generated in Ukraine. A peculiar pairing, you might say, but as the saying goes, "the wind bloweth where it listeth," and it seems that it may also be influenced by the rise and fall of a particular name.
The idea for this research was not born out of thin air (pun intended), but rather from a serendipitous encounter with statistical data that piqued our curiosity. As we delved into the archives of the US Social Security Administration and the Energy Information Administration, we found ourselves in the midst of a statistical whirlwind, where the winds of Astrid's popularity and Ukraine's energy production seemed to dance in remarkably close tandem. The correlation coefficient of 0.9665335 beckoned to us like a siren's call, drawing us into the captivating world of unexpected associations.
But why, you might wonder, should there be any link between a name and the generation of wind power in a distant land? As researchers, we too were initially skeptical, yet the data spoke louder than our doubts. The winds of correlation blew in our faces, demanding attention and inviting speculation. Could it be a mere coincidence, a statistical quirk to be dismissed with a shrug and a chuckle? Or perhaps, just perhaps, there is an underlying force at play that transcends our understanding and tickles the funny bone of causality.
With this paper, we invite you, our esteemed colleagues, to join us in this lighthearted yet thought-provoking exploration. Let us set sail on the sea of whimsy, propelled by the breezy enigma of Astrid's allure and Ukraine's wind power. As we navigate the waves of data and statistical analysis, may we not only uncover the truth behind this surprising correlation but also revel in the delightful irony of our scholarly pursuits. After all, in the world of academia, where else would one find a gust of wind that carries the name Astrid and the energy of Ukraine together in a whimsical waltz of statistical curiosity?
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To untangle the winds of correlation between the popularity of the first name Astrid and the wind power generated in Ukraine, our research team employed a combination of statistical methods, data analysis techniques, and a dash of whimsy. The primary sources of data for this study were the US Social Security Administration (SSA) for information on the frequency of the name Astrid and the Energy Information Administration (EIA) for data on wind power generation in Ukraine. The years 1998 to 2021 were selected to capture a comprehensive view of the trend in both the popularity of the name and wind power generation.
First, we gathered the historical data on the frequency of the name Astrid from the SSA, examining the number of newborns assigned this melodious moniker each year. To ensure the reliability and accuracy of the data, we cross-referenced it with other reputable sources of baby name statistics. We then delved into the EIA's treasure trove of energy data, extracting detailed records of wind power generation specifically in Ukraine. It was crucial to consider both the temporal and geographic dimensions of the data in order to ascertain any potential linkage.
Following the data collection phase, we performed a series of rigorous statistical analyses to uncover any underlying patterns or correlations. The raw data from both sources were subjected to comprehensive cleaning and preprocessing steps to ensure consistency and reliability. This was accompanied by a cacophony of quality checks and error assessments to sift through the data and separate the substantial signals from the statistical noise.
Having curated the datasets, we then tossed them into the statistical cauldron, where we whipped up a bubbling brew of correlation analysis. Utilizing sophisticated statistical software, we calculated the correlation coefficient between the frequency of the name Astrid and the wind power generation in Ukraine. Our aim was to measure the strength and direction of any potential relationship between these seemingly unrelated variables, hoping to discern a harmonious melody amidst the statistical clamor.
To validate our findings and ensure robustness, we also conducted a battery of sensitivity analyses and diagnostic tests. These measures served as the gusts of scrutiny that swept through our data, probing for any hidden flaws or potential biases. Additionally, we strived to control for external factors that could sway the results, such as socioeconomic changes or cultural trends, through the use of multivariable regression models.
In parallel to our statistical odyssey, we dedicated ourselves to an enchanting blend of narrative analysis, exploring the whimsical nature of names and the poetic resonance of winds. Delving into folklore, literature, and linguistic musings, we sought to infuse a touch of whimsy into our research journey, embracing the spirited allure of interconnections and unexpected correlations.
Thus, armed with a harmonious blend of statistical rigor and whimsical curiosity, we set sail on the merry seas of data analysis, in pursuit of the elusive zephyr that connects the name Astrid and the winds of Ukraine.
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 Popularity of the first name Astrid and Wind power generated in Ukraine. Make lots of jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and Energy Information Administration .
For the time period 1998 to 2021, you found a correlation 0.9665335, r-squared of 0.9341870, 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]]
Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine
[[ABSTRACT]]
This paper aims to unravel the potential relationship between the popularity of the first name Astrid and the wind power generated in Ukraine. By analyzing data from the US Social Security Administration and the Energy Information Administration, we found a surprisingly strong correlation between the two variables, with a correlation coefficient of 0.9665335 and a p-value of less than 0.01 for the years 1998 to 2021. Our findings suggest that there may be an underlying connection between the name Astrid and the generation of wind power. This unexpected correlation beckons further investigation into the curious interconnectedness of seemingly unrelated phenomena. As researchers, we invite you to join us in the whimsical exploration of this intriguing relationship and perhaps, blow a little wind into the sails of your next research endeavor.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the world of academic research, we often strive to uncover the obscure and the unexpected, the hidden patterns that may lie beneath the surface of seemingly disparate phenomena. Our endeavor today is no exception, as we embark on a whimsical journey into the world of names and energy production. Yes, you heard it right - we are delving into the curious connection between the popularity of the first name Astrid and the wind power generated in Ukraine. A peculiar pairing, you might say, but as the saying goes, "the wind bloweth where it listeth," and it seems that it may also be influenced by the rise and fall of a particular name.
The idea for this research was not born out of thin air (pun intended), but rather from a serendipitous encounter with statistical data that piqued our curiosity. As we delved into the archives of the US Social Security Administration and the Energy Information Administration, we found ourselves in the midst of a statistical whirlwind, where the winds of Astrid's popularity and Ukraine's energy production seemed to dance in remarkably close tandem. The correlation coefficient of 0.9665335 beckoned to us like a siren's call, drawing us into the captivating world of unexpected associations.
But why, you might wonder, should there be any link between a name and the generation of wind power in a distant land? As researchers, we too were initially skeptical, yet the data spoke louder than our doubts. The winds of correlation blew in our faces, demanding attention and inviting speculation. Could it be a mere coincidence, a statistical quirk to be dismissed with a shrug and a chuckle? Or perhaps, just perhaps, there is an underlying force at play that transcends our understanding and tickles the funny bone of causality.
With this paper, we invite you, our esteemed colleagues, to join us in this lighthearted yet thought-provoking exploration. Let us set sail on the sea of whimsy, propelled by the breezy enigma of Astrid's allure and Ukraine's wind power. As we navigate the waves of data and statistical analysis, may we not only uncover the truth behind this surprising correlation but also revel in the delightful irony of our scholarly pursuits. After all, in the world of academia, where else would one find a gust of wind that carries the name Astrid and the energy of Ukraine together in a whimsical waltz of statistical curiosity?
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The statistical analysis of the data revealed a remarkably strong correlation between the popularity of the first name Astrid and the wind power generated in Ukraine. From 1998 to 2021, the correlation coefficient was found to be 0.9665335, indicating a remarkably close relationship between these two seemingly unrelated variables. The r-squared value of 0.9341870 further emphasized the robustness of this correlation, suggesting that 93% of the variance in wind power generation in Ukraine can be explained by the popularity of the name Astrid. The p-value of less than 0.01 provided strong evidence against the null hypothesis, solidifying the significance of this unexpected association.
Figure 1 presents a scatterplot illustrating the striking correlation between the popularity of the name Astrid and the wind power generated in Ukraine. The graph depicts a clear, upward-trending relationship, with the name Astrid's popularity positively linked to the amount of wind power produced in Ukraine. This visual representation further reinforces the strength of this surprising connection and underscores the need for further investigation into the underlying factors driving this correlation.
These findings serve as a whimsical reminder of the potential hidden in the most unexpected places. The winds of statistical analysis have blown away any preconceptions we may have had about the unrelatedness of a name's popularity and a country's energy production. As researchers, we encourage a lighthearted exploration of this curious correlation, recognizing the playful dance of data that has led us to this unexpected destination. Our study not only sheds light on the interconnectedness of seemingly disparate phenomena but also invites further scholarly inquiry into the delightful enigma of the winds of Astrid's name and Ukraine's energy production.
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 Popularity of the first name Astrid and Wind power generated in Ukraine. Make lots of jokes, goofy observations, and puns.
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]]
Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine
[[ABSTRACT]]
This paper aims to unravel the potential relationship between the popularity of the first name Astrid and the wind power generated in Ukraine. By analyzing data from the US Social Security Administration and the Energy Information Administration, we found a surprisingly strong correlation between the two variables, with a correlation coefficient of 0.9665335 and a p-value of less than 0.01 for the years 1998 to 2021. Our findings suggest that there may be an underlying connection between the name Astrid and the generation of wind power. This unexpected correlation beckons further investigation into the curious interconnectedness of seemingly unrelated phenomena. As researchers, we invite you to join us in the whimsical exploration of this intriguing relationship and perhaps, blow a little wind into the sails of your next research endeavor.
[[LITERATURE REVIEW]]
In "Smith et al. (2017)," the authors find a correlation between the popularity of given names and various societal and cultural factors. The study provides a comprehensive analysis of naming trends and their potential implications for broader social dynamics. Similarly, Doe and Jones (2019) delve into the cultural significance of names and their impact on individual and collective identities, shedding light on the intricate interplay between nomenclature and societal phenomena.
Turning to more specific domains, "Wind Power and Renewable Energy" by Brown and Green (2018) offers a comprehensive overview of wind energy's role in the global renewable energy landscape. Additionally, "Ukrainian Energy Economics" by Black and White (2016) provides valuable insights into the factors influencing energy production in Ukraine.
Furthermore, in the realm of fiction, novels such as "The Kite Runner" by Khaled Hosseini and "Gone with the Wind" by Margaret Mitchell may seem unrelated at first glance, but their thematic undercurrents of resilience and change align with the notion of wind's influence and the enduring popularity of certain names. While these literary works may not provide direct empirical evidence, their exploration of human experiences resonates with the broader theme of interconnectedness that underpins this investigation.
In an unexpected turn, our literature review extends to unconventional sources, including but not limited to, the haphazardly discarded grocery lists and enigmatic scribbles on the back of cafe napkins. We even dared to delve into the esoteric realm of ancient scrolls purported to hold the secrets of name-weather correlations, and, yes, the nonsensical ramblings on CVS receipts. While their scholarly merits may be debatable, these sources added a touch of absurdity to our pursuit of understanding the intriguing correlation between the name Astrid and wind power in Ukraine. As we sifted through these unorthodox repositories of wisdom, we remain vigilant in our search for the comic relief that often hides in the unlikeliest of places.
Thus, with a lighthearted spirit and a penchant for whimsical inquiry, this literature review encompasses a range of sources, from the academic to the unconventional, as we endeavor to unravel the enigmatic relationship between the name Astrid and the generation of wind power in Ukraine.
[[RESULTS]]
The statistical analysis of the data revealed a remarkably strong correlation between the popularity of the first name Astrid and the wind power generated in Ukraine. From 1998 to 2021, the correlation coefficient was found to be 0.9665335, indicating a remarkably close relationship between these two seemingly unrelated variables. The r-squared value of 0.9341870 further emphasized the robustness of this correlation, suggesting that 93% of the variance in wind power generation in Ukraine can be explained by the popularity of the name Astrid. The p-value of less than 0.01 provided strong evidence against the null hypothesis, solidifying the significance of this unexpected association.
Figure 1 presents a scatterplot illustrating the striking correlation between the popularity of the name Astrid and the wind power generated in Ukraine. The graph depicts a clear, upward-trending relationship, with the name Astrid's popularity positively linked to the amount of wind power produced in Ukraine. This visual representation further reinforces the strength of this surprising connection and underscores the need for further investigation into the underlying factors driving this correlation.
These findings serve as a whimsical reminder of the potential hidden in the most unexpected places. The winds of statistical analysis have blown away any preconceptions we may have had about the unrelatedness of a name's popularity and a country's energy production. As researchers, we encourage a lighthearted exploration of this curious correlation, recognizing the playful dance of data that has led us to this unexpected destination. Our study not only sheds light on the interconnectedness of seemingly disparate phenomena but also invites further scholarly inquiry into the delightful enigma of the winds of Astrid's name and Ukraine's energy production.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The wind of statistical analysis has played quite the merry tune for us, revealing a correlation between the popularity of the name Astrid and the wind power generated in Ukraine that seems to blow conventional wisdom right out the window. Our findings align with the scholarly work of Smith et al. (2017) and Doe and Jones (2019), who explored the societal and cultural influences of given names, blatantly ignoring the fact that our research hovers in the realm of downright zephyrous absurdity.
In a manner akin to a gentle breeze building into a mighty gale, our results support the unexpected connection between nomenclature and renewable energy production in Ukraine. Surpassing the wind power of previous studies, we've managed to illustrate a robust correlation between the popularity of the name Astrid and the generation of wind power in Ukraine, giving a whole new meaning to the term 'blowin' with the wind'.
It seems that the thematic undercurrents of novels like "Gone with the Wind" and "The Kite Runner," mentioned in our literature review, might not just be literary flights of fancy but perhaps veiled allegories for the meteorological significance of specific names. The winds of fate, it appears, may indeed be influenced by the names we bestow upon our progeny, in a veritable whirlwind of implications as vast as the odyssey of a wayward CVS receipt.
Our study whirls us into a gusty realm where the familiar zephyrs of academic inquiry blend harmoniously with the whims of curiosity. The r-squared value of 0.9341870 tells a tale of 93% of the variance in wind power generation in Ukraine being swept away by the effervescence of the name Astrid. One might say our study really managed to "breeze" through the conundrum of this unexpected correlation.
As we contest the notion of randomness in the universe, we must acknowledge that our findings, while mirthful, beckon further investigation into the unseen forces at play. Our scatterplot dances merrily, just like a leaf caught in an autumnal gale, corroborating the quixotic nature of the link between a name and wind power generation.
These results leave us pondering if the gentle rustling of particular names in the societal leaves might indeed stir the winds of change in immeasurable ways. With a light-hearted yet unyielding spirit, we urge our scholarly companions to join us in both reveling in the whimsy of this unexpected correlation and unfurling the sails of further whimsical inquiry that may blow us into uncharted territories of understanding. Our lighthearted exploration may have turned the windmills of traditional research on their heads, but with it, we hope to harness a gust of curiosity that breathes new life into the charmingly unpredictable world of academic investigation.
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 Popularity of the first name Astrid and Wind power generated in Ukraine. Make lots of jokes, goofy observations, and puns.
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]]
Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine
[[ABSTRACT]]
This paper aims to unravel the potential relationship between the popularity of the first name Astrid and the wind power generated in Ukraine. By analyzing data from the US Social Security Administration and the Energy Information Administration, we found a surprisingly strong correlation between the two variables, with a correlation coefficient of 0.9665335 and a p-value of less than 0.01 for the years 1998 to 2021. Our findings suggest that there may be an underlying connection between the name Astrid and the generation of wind power. This unexpected correlation beckons further investigation into the curious interconnectedness of seemingly unrelated phenomena. As researchers, we invite you to join us in the whimsical exploration of this intriguing relationship and perhaps, blow a little wind into the sails of your next research endeavor.
[[INTRDUCTION]]
In the world of academic research, we often strive to uncover the obscure and the unexpected, the hidden patterns that may lie beneath the surface of seemingly disparate phenomena. Our endeavor today is no exception, as we embark on a whimsical journey into the world of names and energy production. Yes, you heard it right - we are delving into the curious connection between the popularity of the first name Astrid and the wind power generated in Ukraine. A peculiar pairing, you might say, but as the saying goes, "the wind bloweth where it listeth," and it seems that it may also be influenced by the rise and fall of a particular name.
The idea for this research was not born out of thin air (pun intended), but rather from a serendipitous encounter with statistical data that piqued our curiosity. As we delved into the archives of the US Social Security Administration and the Energy Information Administration, we found ourselves in the midst of a statistical whirlwind, where the winds of Astrid's popularity and Ukraine's energy production seemed to dance in remarkably close tandem. The correlation coefficient of 0.9665335 beckoned to us like a siren's call, drawing us into the captivating world of unexpected associations.
But why, you might wonder, should there be any link between a name and the generation of wind power in a distant land? As researchers, we too were initially skeptical, yet the data spoke louder than our doubts. The winds of correlation blew in our faces, demanding attention and inviting speculation. Could it be a mere coincidence, a statistical quirk to be dismissed with a shrug and a chuckle? Or perhaps, just perhaps, there is an underlying force at play that transcends our understanding and tickles the funny bone of causality.
With this paper, we invite you, our esteemed colleagues, to join us in this lighthearted yet thought-provoking exploration. Let us set sail on the sea of whimsy, propelled by the breezy enigma of Astrid's allure and Ukraine's wind power. As we navigate the waves of data and statistical analysis, may we not only uncover the truth behind this surprising correlation but also revel in the delightful irony of our scholarly pursuits. After all, in the world of academia, where else would one find a gust of wind that carries the name Astrid and the energy of Ukraine together in a whimsical waltz of statistical curiosity?
[[RESULTS]]
The statistical analysis of the data revealed a remarkably strong correlation between the popularity of the first name Astrid and the wind power generated in Ukraine. From 1998 to 2021, the correlation coefficient was found to be 0.9665335, indicating a remarkably close relationship between these two seemingly unrelated variables. The r-squared value of 0.9341870 further emphasized the robustness of this correlation, suggesting that 93% of the variance in wind power generation in Ukraine can be explained by the popularity of the name Astrid. The p-value of less than 0.01 provided strong evidence against the null hypothesis, solidifying the significance of this unexpected association.
Figure 1 presents a scatterplot illustrating the striking correlation between the popularity of the name Astrid and the wind power generated in Ukraine. The graph depicts a clear, upward-trending relationship, with the name Astrid's popularity positively linked to the amount of wind power produced in Ukraine. This visual representation further reinforces the strength of this surprising connection and underscores the need for further investigation into the underlying factors driving this correlation.
These findings serve as a whimsical reminder of the potential hidden in the most unexpected places. The winds of statistical analysis have blown away any preconceptions we may have had about the unrelatedness of a name's popularity and a country's energy production. As researchers, we encourage a lighthearted exploration of this curious correlation, recognizing the playful dance of data that has led us to this unexpected destination. Our study not only sheds light on the interconnectedness of seemingly disparate phenomena but also invites further scholarly inquiry into the delightful enigma of the winds of Astrid's name and Ukraine's energy production.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the winds of statistical analysis have brought us to a place where the name Astrid and Ukraine's wind power production intertwine like old friends at a country fair – unexpectedly, yet with undeniable charm. Our findings reveal a correlation so strong that it practically blows us away, with an r-squared value suggesting that the whims of wind power in Ukraine are astoundingly influenced by the popularity of Astrid.
As we wrap up this experiment, we cannot help but marvel at the capricious forces that seem to govern the world of data. It appears that the winds of statistical correlation can carry us to the most unexpected and amusing destinations, where the name Astrid and Ukraine's energy production frolic in a dance of whimsy and wonder.
However, with our tongues firmly in our cheeks, we must acknowledge that no more research is needed in this peculiar niche of inquiry. We leave it to future historians of statistical oddities to ponder the wind-blown mysteries of Astrid's name and Ukraine's energy production, as we turn our attention to less breezy, albeit equally intriguing, pursuits.
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 Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Renewable Energy and Atmospheric 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 Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Alternative Energy Studies and Environmental Solutions
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 Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine with an abstract of This paper aims to unravel the potential relationship between the popularity of the first name Astrid and the wind power generated in Ukraine. By analyzing data from the US Social Security Administration and the Energy Information Administration, we found a surprisingly strong correlation between the two variables, with a correlation coefficient of 0.9665335 and a p-value of less than 0.01 for the years 1998 to 2021. Our findings suggest that there may be an underlying connection between the name Astrid and the generation of wind power. This unexpected correlation beckons further investigation into the curious interconnectedness of seemingly unrelated phenomena. As researchers, we invite you to join us in the whimsical exploration of this intriguing relationship and perhaps, blow a little wind into the sails of your next research endeavor.
ChatGPT:
Astrid, wind power, Ukraine, energy production, correlation, US Social Security Administration, Energy Information Administration, correlation coefficient, p-value, 1998-2021, interconnectedness, research, investigation, relationship
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Popularity of the first name AstridDetailed data title: Babies of all sexes born in the US named Astrid
Source: US Social Security Administration
See what else correlates with Popularity of the first name Astrid
Wind power generated in Ukraine
Detailed data title: Total wind power generated in Ukraine in billion kWh
Source: Energy Information Administration
See what else correlates with Wind power generated in Ukraine
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 = 0.9341870 (Coefficient of determination)
This means 93.4% of the change in the one variable (i.e., Wind power generated in Ukraine) is predictable based on the change in the other (i.e., Popularity of the first name Astrid) over the 24 years from 1998 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.7E-14. 0.0000000000000174076431065542
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 0.97 in 1.7E-12% of random cases. Said differently, if you correlated 57,446,030,681,976 random variables You don't actually need 57 trillion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 23 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 23 because we have two variables measured over a period of 24 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.
[ 0.92, 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.
| 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Popularity of the first name Astrid (Babies born) | 155 | 181 | 168 | 197 | 199 | 184 | 255 | 264 | 209 | 186 | 191 | 197 | 185 | 235 | 250 | 256 | 297 | 312 | 364 | 403 | 447 | 600 | 684 | 705 |
| Wind power generated in Ukraine (Billion kWh) | 0.003 | 0.003 | 0.006 | 0.016 | 0.022 | 0.031 | 0.033 | 0.038 | 0.035 | 0.045 | 0.045 | 0.043 | 0.051 | 0.09 | 0.288 | 0.639 | 1.13 | 1.084 | 0.954 | 0.983 | 1.188 | 2.02 | 3.271 | 2.833 |
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. - Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.
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([155,181,168,197,199,184,255,264,209,186,191,197,185,235,250,256,297,312,364,403,447,600,684,705,])
array_2 = np.array([0.003,0.003,0.006,0.016,0.022,0.031,0.033,0.038,0.035,0.045,0.045,0.043,0.051,0.09,0.288,0.639,1.13,1.084,0.954,0.983,1.188,2.02,3.271,2.833,])
array_1_name = "Popularity of the first name Astrid"
array_2_name = "Wind power generated in Ukraine"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Popularity of the first name Astrid
- Line chart for only Wind power generated in Ukraine
- AI-generated correlation image
- The spurious research paper: Blowin' in the Name: The Winds of Astrid and Energy Production in Ukraine
You're a rater extraordinaire!
Correlation ID: 2873 · Black Variable ID: 3683 · Red Variable ID: 24063
