Download png, svg
AI explanation
As the number of breweries in the United States hops up, so does the demand for beer. To meet this demand, there is a surge in the production of barley, leading to an increase in barley cultivation. This, in turn, creates a 'barley' noticeable impact on the wind patterns, especially in Sweden. As the barley fields rustle and 'ale'viate the air pressure, it inadvertently brews up stronger winds that are tapped into for power generation. It's a sudsy cycle of beer production and renewable energy - talk about a 'brew'tiful connection! It just gose to show, when it comes to wind power, the stakes are lager than life!
Model: dalle-3
Prompt: Generate an image featuring a colorful map of the United States with brewery icons scattered across the country. The icons represent the number of breweries in the United States, varying in size and color. In the background, create a serene Scandinavian landscape in Sweden with rows of towering wind turbines, showcasing the significant wind power generation in the country. Add vibrant colors and intricate details to the map and landscape to capture the essence of the scene. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: The number of Breweries in the United States and Wind power generated in Sweden. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Psychedelic Realistic A Discovery magazine cover image inspired by bauhaus Pop art
ChatGPT: A Discovery magazine cover image
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 The number of Breweries in the United States and Wind power generated in Sweden together. Keep the description simple.
ChatGPT: In a colorful map of the United States, there are numerous brewery icons spread across the country, each representing the number of breweries in the United States. Above the map, a serene Scandinavian landscape in Sweden showcases rows of towering wind turbines, highlighting the significant wind power generated 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: [ A Discovery magazine cover image ] and depicting this scene: In a colorful map of the United States, there are numerous brewery icons spread across the country, each representing the number of breweries in the United States. Above the map, a serene Scandinavian landscape in Sweden showcases rows of towering wind turbines, highlighting the significant wind power generated in the country. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image featuring a colorful map of the United States with brewery icons scattered across the country. The icons represent the number of breweries in the United States, varying in size and color. In the background, create a serene Scandinavian landscape in Sweden with rows of towering wind turbines, showcasing the significant wind power generation in the country. Add vibrant colors and intricate details to the map and landscape to capture the essence of the scene.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in The number of Breweries in the United States caused Wind power generated in Sweden to increase. Include one good pun.
AI academic paper
 |
Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden The Journal of Fermentation and Renewable Energy Integration Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between The number of Breweries in the United States and Wind power generated in Sweden. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, make it sound serious.
Your research team used data from Brewers Association and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9742198 and p < 0.01 for 1990 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden
[[ABSTRACT]]
This study investigates the fascinating interplay between the proliferation of breweries in the United States and the generation of wind power in Sweden. Using data from the Brewers Association and the Energy Information Administration, we delved into the statistical relationship between these seemingly disparate phenomena. Our analysis revealed a substantial correlation coefficient of 0.9742198 and a p-value of less than 0.01 for the period spanning from 1990 to 2021. The findings of this study bring to light a brewtiful and perhaps ale-wind connection between the craft beer industry across the Atlantic and the renewable energy landscape in Scandinavia. While causation may be frothy, this correlation calls for further examination and could undoubtedly spark spirited discussions among aficionados and scholars alike. Cheers to uncovering unexpected connections in the most unexpected places!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between The number of Breweries in the United States and Wind power generated in Sweden. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden
[[ABSTRACT]]
This study investigates the fascinating interplay between the proliferation of breweries in the United States and the generation of wind power in Sweden. Using data from the Brewers Association and the Energy Information Administration, we delved into the statistical relationship between these seemingly disparate phenomena. Our analysis revealed a substantial correlation coefficient of 0.9742198 and a p-value of less than 0.01 for the period spanning from 1990 to 2021. The findings of this study bring to light a brewtiful and perhaps ale-wind connection between the craft beer industry across the Atlantic and the renewable energy landscape in Scandinavia. While causation may be frothy, this correlation calls for further examination and could undoubtedly spark spirited discussions among aficionados and scholars alike. Cheers to uncovering unexpected connections in the most unexpected places!
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the world of research, we often find ourselves delving into unexpected and peculiar connections, much like a brewer experimenting with unique ingredients. The correlation between the proliferation of breweries in the United States and the generation of wind power in Sweden is one such intriguing relationship that piqued our scientific curiosity. While these two phenomena may appear as unrelated as an IPA and a latte, our statistical analysis has uncorked a fascinating tale of interconnectedness.
Breweries, with their bubbling vats of hoppy concoctions, and wind power, with its swirling turbines harnessing nature's gusts, seem to be worlds apart. However, as we lift the lid on the statistical cauldron, we uncover a significant correlation worthy of a toast. Our investigation has yielded a correlation coefficient of 0.9742198 and a p-value that is as rare as a limited-edition stout, standing at less than 0.01. It's as if these two disparate elements waltzed together in a harmonious dance, creating a blend as smooth as a well-crafted beer.
The correlation that emerged from our analysis is quite staggering, much like the foam atop a freshly poured pint. It beckons us to ponder the intricacies of causation—does the rise of breweries in the United States send gusts of inspiration across the Atlantic, galvanizing the generation of wind power in Sweden, or is this relationship simply the result of statistical serendipity? While we may not be able to definitively pour out the exact causational recipe, this correlation certainly brews curiosity and calls for further exploration.
Our findings open a keg of questions and contemplation. The intertwining of the craft beer industry in the U.S. and the renewable energy landscape in Sweden presents itself as an intellectual brew, brimming with potential insights. As we embark on this frothy journey of discovery, we invite fellow aficionados and scholars to lift a glass and join us in savoring the unexpected connections that bubble beneath the surface. Prost to unveiling the flavors of intercontinental correlation in this intricate and ever-surprising world of research!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between The number of Breweries in the United States and Wind power generated in Sweden. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.
Here is the title and abstract of the paper:
[[TITLE]]
Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden
[[ABSTRACT]]
This study investigates the fascinating interplay between the proliferation of breweries in the United States and the generation of wind power in Sweden. Using data from the Brewers Association and the Energy Information Administration, we delved into the statistical relationship between these seemingly disparate phenomena. Our analysis revealed a substantial correlation coefficient of 0.9742198 and a p-value of less than 0.01 for the period spanning from 1990 to 2021. The findings of this study bring to light a brewtiful and perhaps ale-wind connection between the craft beer industry across the Atlantic and the renewable energy landscape in Scandinavia. While causation may be frothy, this correlation calls for further examination and could undoubtedly spark spirited discussions among aficionados and scholars alike. Cheers to uncovering unexpected connections in the most unexpected places!
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the world of research, we often find ourselves delving into unexpected and peculiar connections, much like a brewer experimenting with unique ingredients. The correlation between the proliferation of breweries in the United States and the generation of wind power in Sweden is one such intriguing relationship that piqued our scientific curiosity. While these two phenomena may appear as unrelated as an IPA and a latte, our statistical analysis has uncorked a fascinating tale of interconnectedness.
Breweries, with their bubbling vats of hoppy concoctions, and wind power, with its swirling turbines harnessing nature's gusts, seem to be worlds apart. However, as we lift the lid on the statistical cauldron, we uncover a significant correlation worthy of a toast. Our investigation has yielded a correlation coefficient of 0.9742198 and a p-value that is as rare as a limited-edition stout, standing at less than 0.01. It's as if these two disparate elements waltzed together in a harmonious dance, creating a blend as smooth as a well-crafted beer.
The correlation that emerged from our analysis is quite staggering, much like the foam atop a freshly poured pint. It beckons us to ponder the intricacies of causation—does the rise of breweries in the United States send gusts of inspiration across the Atlantic, galvanizing the generation of wind power in Sweden, or is this relationship simply the result of statistical serendipity? While we may not be able to definitively pour out the exact causational recipe, this correlation certainly brews curiosity and calls for further exploration.
Our findings open a keg of questions and contemplation. The intertwining of the craft beer industry in the U.S. and the renewable energy landscape in Sweden presents itself as an intellectual brew, brimming with potential insights. As we embark on this frothy journey of discovery, we invite fellow aficionados and scholars to lift a glass and join us in savoring the unexpected connections that bubble beneath the surface. Prost to unveiling the flavors of intercontinental correlation in this intricate and ever-surprising world of research!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In a study by Smith et al. (2017), "Brewing Dynamics in the United States," the authors find a rapid expansion of breweries across the U.S. in recent years, paralleling the surge in popularity of craft beers and microbreweries. This growing enthusiasm for unique, artisanal brews has permeated the American drinking culture, creating ripples that extend beyond the foamy head of a well-poured pint.
Doe and Jones (2019) delve into "Renewable Energy Landscapes" and shed light on the impressive strides made by Sweden in wind power generation. Their research underscores the pivotal role of wind energy in Sweden's renewable energy portfolio, symbolizing a commitment to sustainability and environmental stewardship. The gentle whir of wind turbines has become a familiar tune in the Scandinavian landscape, harmonizing with the natural rhythm of the country.
Transitioning into the realm of non-fiction literature, "The Art of Fermentation" by Sandor Ellix Katz provides a comprehensive look at the alchemical processes involved in creating fermented beverages. While not explicitly focused on the correlation between breweries in the United States and wind power generated in Sweden, Katz's work offers valuable insights into the transformative power of fermentation and the artistry behind crafting unique libations.
On a more tangential note, "Gone with the Wind" by Margaret Mitchell captures the turbulent dynamics of relationships amidst a backdrop of societal change. While Scarlett O'Hara may not have been in the business of brewing, her resilience and resourcefulness could serve as inspirational characteristics for those navigating the craft beer industry's competitive landscape.
Moving into the realm of fictional works, J.R.R. Tolkien's "The Fellowship of the Ring" weaves a tale of camaraderie and adventure, much like the camaraderie found in a bustling brewery where a diverse assortment of characters come together to create liquid masterpieces. Although the connection to wind power in Sweden is tenuous at best, the spirit of collaboration and shared purpose resonates with the ethos of both industries.
In our pursuit of multidisciplinary insights, animated series such as "Bob's Burgers" and "The Simpsons" have provided moments of lighthearted contemplation on the intricacies of business ownership and community dynamics. While the focus may be on burgers and donuts, the underlying themes of entrepreneurship and community engagement could offer valuable parallels to the craft beer industry and its influence on local economies.
Children's shows like "The Magic School Bus" and "Bill Nye the Science Guy" have also offered a whimsical lens through which to view scientific phenomena. While the direct relevance to breweries and wind power may be a stretch, the spirit of inquiry and exploration animating these programs serves as a reminder of the joy of discovery in even the most unexpected places.
As we survey this eclectic literary landscape, it becomes clear that the intersection of brewing in the United States and wind power generation in Sweden presents a convivial tapestry of interconnectedness waiting to be unraveled. While these connections may seem as disparate as a witbier and a whirlwind, our exploration into the depths of academic literature has only just begun. Cheers to unexpected correlations and the joy of scholarly serendipity!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between The number of Breweries in the United States and Wind power generated in Sweden. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 Brewers Association and Energy Information Administration . You used data from 1990 to 2021
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden
[[ABSTRACT]]
This study investigates the fascinating interplay between the proliferation of breweries in the United States and the generation of wind power in Sweden. Using data from the Brewers Association and the Energy Information Administration, we delved into the statistical relationship between these seemingly disparate phenomena. Our analysis revealed a substantial correlation coefficient of 0.9742198 and a p-value of less than 0.01 for the period spanning from 1990 to 2021. The findings of this study bring to light a brewtiful and perhaps ale-wind connection between the craft beer industry across the Atlantic and the renewable energy landscape in Scandinavia. While causation may be frothy, this correlation calls for further examination and could undoubtedly spark spirited discussions among aficionados and scholars alike. Cheers to uncovering unexpected connections in the most unexpected places!
[[INTRODUCTION]]
In the world of research, we often find ourselves delving into unexpected and peculiar connections, much like a brewer experimenting with unique ingredients. The correlation between the proliferation of breweries in the United States and the generation of wind power in Sweden is one such intriguing relationship that piqued our scientific curiosity. While these two phenomena may appear as unrelated as an IPA and a latte, our statistical analysis has uncorked a fascinating tale of interconnectedness.
Breweries, with their bubbling vats of hoppy concoctions, and wind power, with its swirling turbines harnessing nature's gusts, seem to be worlds apart. However, as we lift the lid on the statistical cauldron, we uncover a significant correlation worthy of a toast. Our investigation has yielded a correlation coefficient of 0.9742198 and a p-value that is as rare as a limited-edition stout, standing at less than 0.01. It's as if these two disparate elements waltzed together in a harmonious dance, creating a blend as smooth as a well-crafted beer.
The correlation that emerged from our analysis is quite staggering, much like the foam atop a freshly poured pint. It beckons us to ponder the intricacies of causation—does the rise of breweries in the United States send gusts of inspiration across the Atlantic, galvanizing the generation of wind power in Sweden, or is this relationship simply the result of statistical serendipity? While we may not be able to definitively pour out the exact causational recipe, this correlation certainly brews curiosity and calls for further exploration.
Our findings open a keg of questions and contemplation. The intertwining of the craft beer industry in the U.S. and the renewable energy landscape in Sweden presents itself as an intellectual brew, brimming with potential insights. As we embark on this frothy journey of discovery, we invite fellow aficionados and scholars to lift a glass and join us in savoring the unexpected connections that bubble beneath the surface. Prost to unveiling the flavors of intercontinental correlation in this intricate and ever-surprising world of research!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To ferment our investigation, we first gathered a rich blend of data from reputable sources, primarily drawing from the Brewers Association and the Energy Information Administration. Our kaleidoscopic dataset, spanning from 1990 to 2021, encompassed the number of breweries in the United States and the wind power generated in Sweden, serving as the hops and malt of our statistical brew.
To distill the relationship between these variables, we applied a multifaceted approach that resembles a brewmaster's meticulous attention to detail. Our analysis was characterized by a combination of unorthodox techniques akin to a daring recipe, as well as more traditional statistical methods.
Firstly, we employed a double-blind tasting method, where two independent researchers scrutinized the data to ensure its accuracy and reliability. The data was then meticulously brewed in a cauldron of statistical software, where we utilized advanced algorithms to extract the essence of the correlation between the proliferation of breweries in the United States and the generation of wind power in Sweden.
This statistical concoction was then subjected to a rigorous battery of tests, resembling the trials of a newly concocted beer. We utilized regression analysis to gauge the strength of the relationship and evaluate the significance of our findings. Like careful brewers monitoring the fermentation process, we maintained a watchful eye over each step, ensuring the clarity and robustness of our results.
Furthermore, we employed time-series analysis to capture the dynamic interplay between the variables over the years, uncovering the ever-evolving nature of their relationship, not unlike the changing flavors of an aged wine.
In addition, to enhance the depth and breadth of our investigation, we indulged in a hodgepodge of sensitivity analyses and robustness checks. These additional layers of scrutiny were akin to refining the taste of a complex brew, ensuring that our findings withstand the test of various scenarios and assumptions.
In summary, our methodology fuses the precision of modern statistical techniques with the artistry of unconventional approaches, forming a blend that captures the nuances of the relationship between breweries in the United States and wind power generated in Sweden. It is our fervent hope that our meticulous brew of methods has served as a fitting vessel to distill, savor, and present the intriguing correlation that pervades the landscape of our study. Cheers to scientific endeavors that are as delightful as a well-crafted pint!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between The number of Breweries in the United States and Wind power generated in Sweden. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 Brewers Association and Energy Information Administration .
For the time period 1990 to 2021, you found a correlation 0.9742198, r-squared of 0.9491041, 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]]
Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden
[[ABSTRACT]]
This study investigates the fascinating interplay between the proliferation of breweries in the United States and the generation of wind power in Sweden. Using data from the Brewers Association and the Energy Information Administration, we delved into the statistical relationship between these seemingly disparate phenomena. Our analysis revealed a substantial correlation coefficient of 0.9742198 and a p-value of less than 0.01 for the period spanning from 1990 to 2021. The findings of this study bring to light a brewtiful and perhaps ale-wind connection between the craft beer industry across the Atlantic and the renewable energy landscape in Scandinavia. While causation may be frothy, this correlation calls for further examination and could undoubtedly spark spirited discussions among aficionados and scholars alike. Cheers to uncovering unexpected connections in the most unexpected places!
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the world of research, we often find ourselves delving into unexpected and peculiar connections, much like a brewer experimenting with unique ingredients. The correlation between the proliferation of breweries in the United States and the generation of wind power in Sweden is one such intriguing relationship that piqued our scientific curiosity. While these two phenomena may appear as unrelated as an IPA and a latte, our statistical analysis has uncorked a fascinating tale of interconnectedness.
Breweries, with their bubbling vats of hoppy concoctions, and wind power, with its swirling turbines harnessing nature's gusts, seem to be worlds apart. However, as we lift the lid on the statistical cauldron, we uncover a significant correlation worthy of a toast. Our investigation has yielded a correlation coefficient of 0.9742198 and a p-value that is as rare as a limited-edition stout, standing at less than 0.01. It's as if these two disparate elements waltzed together in a harmonious dance, creating a blend as smooth as a well-crafted beer.
The correlation that emerged from our analysis is quite staggering, much like the foam atop a freshly poured pint. It beckons us to ponder the intricacies of causation—does the rise of breweries in the United States send gusts of inspiration across the Atlantic, galvanizing the generation of wind power in Sweden, or is this relationship simply the result of statistical serendipity? While we may not be able to definitively pour out the exact causational recipe, this correlation certainly brews curiosity and calls for further exploration.
Our findings open a keg of questions and contemplation. The intertwining of the craft beer industry in the U.S. and the renewable energy landscape in Sweden presents itself as an intellectual brew, brimming with potential insights. As we embark on this frothy journey of discovery, we invite fellow aficionados and scholars to lift a glass and join us in savoring the unexpected connections that bubble beneath the surface. Prost to unveiling the flavors of intercontinental correlation in this intricate and ever-surprising world of research!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Our investigation into the relationship between the number of breweries in the United States and wind power generated in Sweden unveiled a surprisingly robust statistical connection. The correlation coefficient of 0.9742198 suggests a striking association between these seemingly divergent elements, akin to finding the perfect pairing of cheese and wine. The r-squared value of 0.9491041 further underscores the strength of this relationship, akin to the punch of a potent stout.
Fig. 1 illustrates the compelling correlation observed between the two variables, painting a picture of unity that brings to mind the seamless blend of malt and hops in a well-crafted brew. The scatterplot showcases the alignment of data points, as if the gusts of wind from Swedish turbines carry the echoes of American craft beer enthusiasm across the ocean.
This brewtiful correlation, supported by a p-value of less than 0.01, raises a toast to the intricate dance of statistics as they intertwine seemingly disparate phenomena. The findings of this study emphasize the interconnected nature of global industries and the potential for unexpected linkages that would make even the most seasoned brewer raise an eyebrow in delightful surprise.
The results of our analysis lay the foundation for continued exploration, igniting discussions around the implications of this link and the delightful mysteries it presents. While we cannot conclusively determine causation, the statistical brewtality of this relationship invites us to sip and savor the complexities of intertwined ecosystems, much like a connoisseur savoring a complex and nuanced brew. This unexpected connection stands as a testament to the delightful surprises that await in the world of empirical investigation. Cheers to uncovering correlations by the pint and to the intoxicating pursuit of knowledge in the unlikeliest of places!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between The number of Breweries in the United States and Wind power generated in Sweden. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden
[[ABSTRACT]]
This study investigates the fascinating interplay between the proliferation of breweries in the United States and the generation of wind power in Sweden. Using data from the Brewers Association and the Energy Information Administration, we delved into the statistical relationship between these seemingly disparate phenomena. Our analysis revealed a substantial correlation coefficient of 0.9742198 and a p-value of less than 0.01 for the period spanning from 1990 to 2021. The findings of this study bring to light a brewtiful and perhaps ale-wind connection between the craft beer industry across the Atlantic and the renewable energy landscape in Scandinavia. While causation may be frothy, this correlation calls for further examination and could undoubtedly spark spirited discussions among aficionados and scholars alike. Cheers to uncovering unexpected connections in the most unexpected places!
[[LITERATURE REVIEW]]
In a study by Smith et al. (2017), "Brewing Dynamics in the United States," the authors find a rapid expansion of breweries across the U.S. in recent years, paralleling the surge in popularity of craft beers and microbreweries. This growing enthusiasm for unique, artisanal brews has permeated the American drinking culture, creating ripples that extend beyond the foamy head of a well-poured pint.
Doe and Jones (2019) delve into "Renewable Energy Landscapes" and shed light on the impressive strides made by Sweden in wind power generation. Their research underscores the pivotal role of wind energy in Sweden's renewable energy portfolio, symbolizing a commitment to sustainability and environmental stewardship. The gentle whir of wind turbines has become a familiar tune in the Scandinavian landscape, harmonizing with the natural rhythm of the country.
Transitioning into the realm of non-fiction literature, "The Art of Fermentation" by Sandor Ellix Katz provides a comprehensive look at the alchemical processes involved in creating fermented beverages. While not explicitly focused on the correlation between breweries in the United States and wind power generated in Sweden, Katz's work offers valuable insights into the transformative power of fermentation and the artistry behind crafting unique libations.
On a more tangential note, "Gone with the Wind" by Margaret Mitchell captures the turbulent dynamics of relationships amidst a backdrop of societal change. While Scarlett O'Hara may not have been in the business of brewing, her resilience and resourcefulness could serve as inspirational characteristics for those navigating the craft beer industry's competitive landscape.
Moving into the realm of fictional works, J.R.R. Tolkien's "The Fellowship of the Ring" weaves a tale of camaraderie and adventure, much like the camaraderie found in a bustling brewery where a diverse assortment of characters come together to create liquid masterpieces. Although the connection to wind power in Sweden is tenuous at best, the spirit of collaboration and shared purpose resonates with the ethos of both industries.
In our pursuit of multidisciplinary insights, animated series such as "Bob's Burgers" and "The Simpsons" have provided moments of lighthearted contemplation on the intricacies of business ownership and community dynamics. While the focus may be on burgers and donuts, the underlying themes of entrepreneurship and community engagement could offer valuable parallels to the craft beer industry and its influence on local economies.
Children's shows like "The Magic School Bus" and "Bill Nye the Science Guy" have also offered a whimsical lens through which to view scientific phenomena. While the direct relevance to breweries and wind power may be a stretch, the spirit of inquiry and exploration animating these programs serves as a reminder of the joy of discovery in even the most unexpected places.
As we survey this eclectic literary landscape, it becomes clear that the intersection of brewing in the United States and wind power generation in Sweden presents a convivial tapestry of interconnectedness waiting to be unraveled. While these connections may seem as disparate as a witbier and a whirlwind, our exploration into the depths of academic literature has only just begun. Cheers to unexpected correlations and the joy of scholarly serendipity!
[[RESULTS]]
Our investigation into the relationship between the number of breweries in the United States and wind power generated in Sweden unveiled a surprisingly robust statistical connection. The correlation coefficient of 0.9742198 suggests a striking association between these seemingly divergent elements, akin to finding the perfect pairing of cheese and wine. The r-squared value of 0.9491041 further underscores the strength of this relationship, akin to the punch of a potent stout.
Fig. 1 illustrates the compelling correlation observed between the two variables, painting a picture of unity that brings to mind the seamless blend of malt and hops in a well-crafted brew. The scatterplot showcases the alignment of data points, as if the gusts of wind from Swedish turbines carry the echoes of American craft beer enthusiasm across the ocean.
This brewtiful correlation, supported by a p-value of less than 0.01, raises a toast to the intricate dance of statistics as they intertwine seemingly disparate phenomena. The findings of this study emphasize the interconnected nature of global industries and the potential for unexpected linkages that would make even the most seasoned brewer raise an eyebrow in delightful surprise.
The results of our analysis lay the foundation for continued exploration, igniting discussions around the implications of this link and the delightful mysteries it presents. While we cannot conclusively determine causation, the statistical brewtality of this relationship invites us to sip and savor the complexities of intertwined ecosystems, much like a connoisseur savoring a complex and nuanced brew. This unexpected connection stands as a testament to the delightful surprises that await in the world of empirical investigation. Cheers to uncovering correlations by the pint and to the intoxicating pursuit of knowledge in the unlikeliest of places!
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The brewtiful relationship between the proliferation of breweries in the United States and the generation of wind power in Sweden uncovered in this study raises a proverbial glass to the unexpected harmonies that can emerge from the world of statistics and data analysis. It appears that the effervescent expansion of breweries in the U.S. and the gusty strides in wind power generation in Sweden have more in common than meets the eye. Indeed, the correlation coefficient of 0.9742198 discovered in our analysis is as striking as the clash of thunder and the foamy head of a freshly poured beer.
The results of our investigation echo and, dare we say, ale-lign with the prior research findings by Smith et al. (2017) on the rapid ascent of breweries in the U.S. It seems the growing appetite for unique craft beers has stirred up an invisible whirlwind, traversing the Atlantic to make its mark on the landscape of wind power generation in Sweden, akin to the ebb and flow of beer fermentation. This unexpected connection could brew up spirited discussions among aficionados and academics, emphasizing the interconnectedness of seemingly disparate domains in the global landscape of industry and sustainability.
Coming back to the lore of J.R.R. Tolkien's "The Fellowship of the Ring," the camaraderie and adventurous spirit found in bustling breweries might indeed share a kinship with the collaborative efforts driving wind power generation in Sweden. Just as the diverse characters in Tolkien's tale come together to achieve a shared destiny, the diverse elements in our statistical model converge to reveal the unlikely correlation between breweries in the U.S. and wind power in Sweden, defying conventional expectations much like a mischievous hobbit with a penchant for uncanny discoveries.
The robust statistical relationship uncovered in this study serves as a sobering reminder of the mysteries and unexpected connections awaiting exploration, akin to the process of uncovering nuanced flavors in a finely brewed beer. The delightfully intoxicating pursuit of knowledge in the unlikeliest of places beckons scholars to raise a toast to the convivial tapestry of interconnectedness and the frothy effervescence of empirical investigation. Indeed, as we stand on the precipice of this statistical anomaly, our journey into the whimsical domain of uncharted correlations has only just begun - and it promises to be as exhilarating as a gust of wind on a hot summer day. Cheers to the delightful surprises that await in the world of statistical inquiry, and to the interconnected ale-winds of global industries that carry the flavors of discovery and insight.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between The number of Breweries in the United States and Wind power generated in Sweden. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden
[[ABSTRACT]]
This study investigates the fascinating interplay between the proliferation of breweries in the United States and the generation of wind power in Sweden. Using data from the Brewers Association and the Energy Information Administration, we delved into the statistical relationship between these seemingly disparate phenomena. Our analysis revealed a substantial correlation coefficient of 0.9742198 and a p-value of less than 0.01 for the period spanning from 1990 to 2021. The findings of this study bring to light a brewtiful and perhaps ale-wind connection between the craft beer industry across the Atlantic and the renewable energy landscape in Scandinavia. While causation may be frothy, this correlation calls for further examination and could undoubtedly spark spirited discussions among aficionados and scholars alike. Cheers to uncovering unexpected connections in the most unexpected places!
[[INTRDUCTION]]
In the world of research, we often find ourselves delving into unexpected and peculiar connections, much like a brewer experimenting with unique ingredients. The correlation between the proliferation of breweries in the United States and the generation of wind power in Sweden is one such intriguing relationship that piqued our scientific curiosity. While these two phenomena may appear as unrelated as an IPA and a latte, our statistical analysis has uncorked a fascinating tale of interconnectedness.
Breweries, with their bubbling vats of hoppy concoctions, and wind power, with its swirling turbines harnessing nature's gusts, seem to be worlds apart. However, as we lift the lid on the statistical cauldron, we uncover a significant correlation worthy of a toast. Our investigation has yielded a correlation coefficient of 0.9742198 and a p-value that is as rare as a limited-edition stout, standing at less than 0.01. It's as if these two disparate elements waltzed together in a harmonious dance, creating a blend as smooth as a well-crafted beer.
The correlation that emerged from our analysis is quite staggering, much like the foam atop a freshly poured pint. It beckons us to ponder the intricacies of causation—does the rise of breweries in the United States send gusts of inspiration across the Atlantic, galvanizing the generation of wind power in Sweden, or is this relationship simply the result of statistical serendipity? While we may not be able to definitively pour out the exact causational recipe, this correlation certainly brews curiosity and calls for further exploration.
Our findings open a keg of questions and contemplation. The intertwining of the craft beer industry in the U.S. and the renewable energy landscape in Sweden presents itself as an intellectual brew, brimming with potential insights. As we embark on this frothy journey of discovery, we invite fellow aficionados and scholars to lift a glass and join us in savoring the unexpected connections that bubble beneath the surface. Prost to unveiling the flavors of intercontinental correlation in this intricate and ever-surprising world of research!
[[RESULTS]]
Our investigation into the relationship between the number of breweries in the United States and wind power generated in Sweden unveiled a surprisingly robust statistical connection. The correlation coefficient of 0.9742198 suggests a striking association between these seemingly divergent elements, akin to finding the perfect pairing of cheese and wine. The r-squared value of 0.9491041 further underscores the strength of this relationship, akin to the punch of a potent stout.
Fig. 1 illustrates the compelling correlation observed between the two variables, painting a picture of unity that brings to mind the seamless blend of malt and hops in a well-crafted brew. The scatterplot showcases the alignment of data points, as if the gusts of wind from Swedish turbines carry the echoes of American craft beer enthusiasm across the ocean.
This brewtiful correlation, supported by a p-value of less than 0.01, raises a toast to the intricate dance of statistics as they intertwine seemingly disparate phenomena. The findings of this study emphasize the interconnected nature of global industries and the potential for unexpected linkages that would make even the most seasoned brewer raise an eyebrow in delightful surprise.
The results of our analysis lay the foundation for continued exploration, igniting discussions around the implications of this link and the delightful mysteries it presents. While we cannot conclusively determine causation, the statistical brewtality of this relationship invites us to sip and savor the complexities of intertwined ecosystems, much like a connoisseur savoring a complex and nuanced brew. This unexpected connection stands as a testament to the delightful surprises that await in the world of empirical investigation. Cheers to uncovering correlations by the pint and to the intoxicating pursuit of knowledge in the unlikeliest of places!
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study has uncovered a brewtifully strong relationship between the number of breweries in the United States and the wind power generated in Sweden. The frothy correlation coefficient of 0.9742198 and the p-value less than 0.01 have left us feeling hoppily validated in our exploration of these unexpected bedfellows. As we close the tap on this particular investigation, it's clear that there's more to this connection than meets the ale. While we can't pour out the causational recipe with certainty, the yeast we can do is raise a glass and savor the tantalizing and enigmatic flavors of statistical serendipity.
The findings of our research beckon us to reflect on the unexpected synergies that bubble within the vast cauldron of empirical inquiry. Just as a meticulous brewmaster perfects the blend of malts and hops, our study has crafted a unifying narrative that leaves us contemplating the mysteries of intertwined global phenomena. The results, while robust, also remind us that statistical relationships can be as complex and rich as a finely aged barrel of whiskey, and just as likely to surprise and delight the palate.
As we bid adieu to this peculiar yet captivating realm of research, we raise a glass to the offbeat connections that continue to redefine our understanding of the world. It's clear that no further research is needed in this area, as we've already tapped into a delightful brew of statistical intrigue that leaves us in high spirits. Let's raise a toast to the captivating mysteries of science, and to uncovering correlations that leave us frothing with intellectual curiosity. As they say, when it rains, it pours—whether it's barley or electrons, there's always something brewing. Cheers to the unexpected, and the delightful journey of discovery that awaits!
No further research needed; this topic is tapped out!
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 Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Fermentation and Renewable Energy Integration
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 Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Sustainable Brewing and Alternative Energy Alliance
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 Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden with an abstract of This study investigates the fascinating interplay between the proliferation of breweries in the United States and the generation of wind power in Sweden. Using data from the Brewers Association and the Energy Information Administration, we delved into the statistical relationship between these seemingly disparate phenomena. Our analysis revealed a substantial correlation coefficient of 0.9742198 and a p-value of less than 0.01 for the period spanning from 1990 to 2021. The findings of this study bring to light a brewtiful and perhaps ale-wind connection between the craft beer industry across the Atlantic and the renewable energy landscape in Scandinavia. While causation may be frothy, this correlation calls for further examination and could undoubtedly spark spirited discussions among aficionados and scholars alike. Cheers to uncovering unexpected connections in the most unexpected places!
ChatGPT:
breweries, United States, wind power, Sweden, correlation, statistical analysis, Brewers Association, Energy Information Administration, craft beer industry, renewable energy, Scandinavia, causation, unexpected connections
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
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Data details
The number of Breweries in the United StatesDetailed data title: Number of Breweries in the United States
Source: Brewers Association
See what else correlates with The number of Breweries in the United States
Wind power generated in Sweden
Detailed data title: Total wind power generated in Sweden in billion kWh
Source: Energy Information Administration
See what else correlates with Wind power generated in Sweden
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 = 0.9491041 (Coefficient of determination)
This means 94.9% of the change in the one variable (i.e., Wind power generated in Sweden) is predictable based on the change in the other (i.e., The number of Breweries in the United States) over the 32 years from 1990 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.9E-21. 0.0000000000000000000058968119
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 5.9E-19% of random cases. Said differently, if you correlated 169,583,160,690,609,782,784 random variables You don't actually need 169 quintillion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 31 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 31 because we have two variables measured over a period of 32 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.95, 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.
| 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| The number of Breweries in the United States (Number of breweries) | 298 | 350 | 405 | 490 | 634 | 1006 | 1305 | 1475 | 1651 | 1577 | 1493 | 1499 | 1575 | 1629 | 1635 | 1612 | 1741 | 1805 | 1896 | 1933 | 2131 | 2525 | 2670 | 3162 | 4014 | 4847 | 5780 | 6767 | 7722 | 8557 | 9092 | 9384 |
| Wind power generated in Sweden (Billion kWh) | 0.006 | 0.013 | 0.031 | 0.048 | 0.072 | 0.099 | 0.144 | 0.203 | 0.317 | 0.358 | 0.457 | 0.482 | 0.608 | 0.679 | 0.86 | 0.935 | 0.984 | 1.426 | 1.998 | 2.491 | 3.487 | 6.107 | 7.164 | 9.842 | 11.235 | 16.322 | 15.479 | 17.609 | 16.623 | 19.847 | 27.5124 | 27.3058 |
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([298,350,405,490,634,1006,1305,1475,1651,1577,1493,1499,1575,1629,1635,1612,1741,1805,1896,1933,2131,2525,2670,3162,4014,4847,5780,6767,7722,8557,9092,9384,])
array_2 = np.array([0.006,0.013,0.031,0.048,0.072,0.099,0.144,0.203,0.317,0.358,0.457,0.482,0.608,0.679,0.86,0.935,0.984,1.426,1.998,2.491,3.487,6.107,7.164,9.842,11.235,16.322,15.479,17.609,16.623,19.847,27.5124,27.3058,])
array_1_name = "The number of Breweries in the United States"
array_2_name = "Wind power generated in Sweden"
# 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 The number of Breweries in the United States
- Line chart for only Wind power generated in Sweden
- AI-generated correlation image
- The spurious research paper: Brewing Up a Storm: Exploring the Brewtiful Relationship Between Breweries in the United States and Wind Power Generated in Sweden
Kudos for rating!
Correlation ID: 1551 · Black Variable ID: 34 · Red Variable ID: 24011
