Spurious correlation #3,038 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Butter consumption and the second variable is Wind power generated in Turkiye. The chart goes from 1998 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Butter consumption and the second variable is Wind power generated in Turkiye. The chart goes from 1998 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As butter consumption increased, more people started to get gassy, creating an uptick in wind power generated in Turkiye from all the extra flatulence.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a picturesque landscape in Turkiye, portraying a traditional breakfast scene with generous servings of butter. In the background, depict wind turbines spinning faster and generating power, while people around the breakfast table express discomfort from feeling gassy. Create a serene setting with subtle but visible signs of the described scenario. 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: Butter consumption and Wind power generated in Turkiye. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Cutsy graphics Whimsical illustration High-tech Parallax art An image that looks like it is a scene from a Pixar movie
ChatGPT: High-tech

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Butter consumption and Wind power generated in Turkiye, in the following situation: As butter consumption increased, more people started to get gassy, creating an uptick in wind power generated in Turkiye from all the extra flatulence.. Keep the description simple.
ChatGPT: Imagine a picturesque landscape in Turkiye where people are enjoying a traditional breakfast spread with generous servings of butter. As they savor their meal, they start to feel gassy and let out natural wind. Along with this, in the background, you see wind turbines spinning faster and generating power from the increased flatulence.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ High-tech ] and depicting this scene: Imagine a picturesque landscape in Turkiye where people are enjoying a traditional breakfast spread with generous servings of butter. As they savor their meal, they start to feel gassy and let out natural wind. Along with this, in the background, you see wind turbines spinning faster and generating power from the increased flatulence. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a picturesque landscape in Turkiye, portraying a traditional breakfast scene with generous servings of butter. In the background, depict wind turbines spinning faster and generating power, while people around the breakfast table express discomfort from feeling gassy. Create a serene setting with subtle but visible signs of the described scenario.

*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.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106
System prompt: You provide humerus 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. Your responses should be able to be used as the title for a funny post, or the top comment on a thread explaining the connection.
User prompt: Please make up a funny explanation for how an increase in Butter consumption caused Wind power generated in Turkiye to increase. Go right to the goofy explanation, make it silly and fun, and two sentences long. Do not start with 'well' or 'you see' or similar statements.

AI academic paper

(Because p < 0.01)

Churning Winds: The Butter-Wind Power Connection in Turkiye

The Journal of Dairy-Driven Renewable Energy

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Butter consumption and Wind power generated in Turkiye. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
"Churning Winds: The Butter-Wind Power Connection in Turkiye"

[[ABSTRACT]]
This paper examines the curious relationship between butter consumption and wind power generation in Turkiye. Utilizing data from the USDA and the Energy Information Administration, we conducted a comprehensive analysis to unravel the enigmatic link between these seemingly disparate factors. Our findings reveal a remarkably high correlation coefficient of 0.9392456 and a statistically significant p-value of < 0.01 for the years spanning from 1998 to 2021.

The burgeoning interest in renewable energy sources has led to numerous studies exploring the factors influencing wind power generation. However, the unexpected revelation of the association between butter consumption and wind power in Turkiye adds a delightful twist to the discourse. It seems that the phrase "butter makes everything better" may extend beyond culinary pleasures and into the realm of sustainable energy. One might even say that "when there's butter, there's a way" to harness the power of the wind.

The implications of this correlation are both fascinating and worthy of further investigation. Could it be that the gusts of wind in Turkiye carry subtle aromas of freshly churned butter, inspiring a collective societal drive towards sustainable energy practices? Or perhaps there exist underlying socio-economic factors that contribute to this intriguing convergence. As we delve deeper into this subject, it becomes clear that the realms of gastronomy and green energy may be more intertwined than previously imagined.

In light of these revelatory findings, we invite fellow researchers to join us in exploring this uncharted territory of interdisciplinary research. Together, we may unearth the underlying mechanisms behind this butter-wind power nexus and, in doing so, spread the joy of discovery as generously as butter on warm bread.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The connection between butter consumption and wind power generation may seem as unlikely as finding butter in the wind, but our study has revealed an intriguing connection that is more than just a "butterly" coincidence. As we spread our findings, we hope to churn up some interest in this unexpected correlation.
Renewable energy sources have been at the forefront of environmental discussions, with wind power being a significant focus. However, our research has uncovered a correlation that is as unexpected as finding a fly in the buttermilk. The potential implications of this connection go beyond mere curiosity and have the potential to butter up the fields of both energy research and dairy products.
In this paper, we present our analysis of the relationship between butter consumption and wind power generation in Turkiye. Our findings suggest a robust and statistically significant association between the two, challenging conventional wisdom and adding a savory layer to our understanding of sustainable energy practices. We hope that our findings will inspire others to take a closer look at this buttery wind power conundrum and perhaps even "spread" further research into unexpected connections in the future.
The unexpected intersection of two seemingly unrelated domains presents an exciting opportunity for interdisciplinary exploration. As we delve into the details of our analysis, it becomes clear that there is more to this butter-wind power connection than initially meets the eye. We invite fellow researchers to join us in unraveling this intriguing mystery and hope that our findings will "butter up" the field of renewable energy research in surprising new ways.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Smith et al.," the authors find a positive correlation between butter consumption and wind power generation in Turkiye. This unexpected association challenges conventional wisdom, adding a flavorful twist to the discourse on renewable energy sources. The findings raise intriguing questions about the underlying mechanisms driving this correlation and its potential implications for sustainable energy practices.

Doe and Jones conducted a comprehensive analysis of butter consumption patterns and wind power generation in Turkiye, revealing a statistically significant relationship between the two variables. The authors highlight the need for further exploration to elucidate the factors contributing to this peculiar connection and its potential impact on energy policy and agricultural practices.

Now, turning to non-fiction sources, "The Butter Book" by Elaine Khosrova provides a comprehensive exploration of the cultural and culinary significance of butter, offering insights into its historical consumption patterns and societal importance. Similarly, "Wind Energy Explained" by James F. Manwell and Jon G. McGowan offers a detailed overview of the principles and technologies behind wind power generation, providing a valuable context for understanding the complexities of this renewable energy source.

On the fictional side, "Windhaven" by George R.R. Martin and Lisa Tuttle weaves a tale of a world sustained by wind-powered flights, offering a unique perspective on the potential societal impact of wind energy. In a lighter vein, "Butter: A Rich History" by Elaine Khosrova adds a whimsical touch to the exploration of butter's cultural significance, blending historical insights with culinary anecdotes that may resonate with readers.

In the realm of television, "Wind at My Back" and "Butter and Brown" offer contrasting themes but serve as delightful sources of entertainment, inspiring a unique blend of thoughts about wind power and butter consumption in Turkiye.

The unexpected intersection of butter consumption and wind power generation prompts a reevaluation of traditional paradigms and opens new avenues for interdisciplinary research. As we navigate this uncharted territory, it becomes clear that the butter-wind power connection is not merely a "spread" coincidence, but rather a unique and thought-provoking area deserving of further scholarly attention.

"Dad, did you hear about the restaurant on the moon? Great food, no atmosphere."

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Butter consumption and Wind power generated in Turkiye. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from USDA 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]]
"Churning Winds: The Butter-Wind Power Connection in Turkiye"

[[ABSTRACT]]
This paper examines the curious relationship between butter consumption and wind power generation in Turkiye. Utilizing data from the USDA and the Energy Information Administration, we conducted a comprehensive analysis to unravel the enigmatic link between these seemingly disparate factors. Our findings reveal a remarkably high correlation coefficient of 0.9392456 and a statistically significant p-value of < 0.01 for the years spanning from 1998 to 2021.

The burgeoning interest in renewable energy sources has led to numerous studies exploring the factors influencing wind power generation. However, the unexpected revelation of the association between butter consumption and wind power in Turkiye adds a delightful twist to the discourse. It seems that the phrase "butter makes everything better" may extend beyond culinary pleasures and into the realm of sustainable energy. One might even say that "when there's butter, there's a way" to harness the power of the wind.

The implications of this correlation are both fascinating and worthy of further investigation. Could it be that the gusts of wind in Turkiye carry subtle aromas of freshly churned butter, inspiring a collective societal drive towards sustainable energy practices? Or perhaps there exist underlying socio-economic factors that contribute to this intriguing convergence. As we delve deeper into this subject, it becomes clear that the realms of gastronomy and green energy may be more intertwined than previously imagined.

In light of these revelatory findings, we invite fellow researchers to join us in exploring this uncharted territory of interdisciplinary research. Together, we may unearth the underlying mechanisms behind this butter-wind power nexus and, in doing so, spread the joy of discovery as generously as butter on warm bread.

[[INTRODUCTION]]
The connection between butter consumption and wind power generation may seem as unlikely as finding butter in the wind, but our study has revealed an intriguing connection that is more than just a "butterly" coincidence. As we spread our findings, we hope to churn up some interest in this unexpected correlation.
Renewable energy sources have been at the forefront of environmental discussions, with wind power being a significant focus. However, our research has uncovered a correlation that is as unexpected as finding a fly in the buttermilk. The potential implications of this connection go beyond mere curiosity and have the potential to butter up the fields of both energy research and dairy products.
In this paper, we present our analysis of the relationship between butter consumption and wind power generation in Turkiye. Our findings suggest a robust and statistically significant association between the two, challenging conventional wisdom and adding a savory layer to our understanding of sustainable energy practices. We hope that our findings will inspire others to take a closer look at this buttery wind power conundrum and perhaps even "spread" further research into unexpected connections in the future.
The unexpected intersection of two seemingly unrelated domains presents an exciting opportunity for interdisciplinary exploration. As we delve into the details of our analysis, it becomes clear that there is more to this butter-wind power connection than initially meets the eye. We invite fellow researchers to join us in unraveling this intriguing mystery and hope that our findings will "butter up" the field of renewable energy research in surprising new ways.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To investigate the perplexing correlation between butter consumption and wind power generation in Turkiye, we employed a methodological approach as varied and complex as the flavors in a tub of artisanal butter. Our research team systematically collected and analyzed data from the United States Department of Agriculture (USDA) and the Energy Information Administration, spanning the years from 1998 to 2021. Our approach can be likened to churning butter – laborious but resulting in a smooth and creamy outcome.

We began by obtaining annual data on butter consumption in Turkiye, expressed in pounds per capita, and wind power generation, measured in kilowatt-hours. The data collection process involved sifting through numerous databases, not unlike separating the whey from the butter – a tedious task, but essential for a rich yield of information. It was crucial to ensure that the data collected was as robust and homogeneous as a well-blended batch of buttercream frosting.

Once the data was amassed, we conducted a series of rigorous statistical analyses to quantify the relationship between butter consumption and wind power generation. First, we computed the Pearson correlation coefficient to assess the strength and direction of the linear relationship between the two variables. The high correlation coefficient of 0.9392456 that emerged from our analysis was as striking as finding a pat of butter in a churn of cream – a delightful surprise.

Next, we subjected the data to a series of regression analyses to delve deeper into the association between butter consumption and wind power generation. The models produced yielded coefficients that were as significant as the role of butter in a well-risen croissant. Our p-value of < 0.01 provided compelling evidence that the relationship between butter consumption and wind power generation in Turkiye was not a mere statistical artifact but a robust and meaningful connection.

To address potential confounding variables and ensure the robustness of our findings, we incorporated various control variables in our analyses. We included factors such as GDP per capita, population density, and average annual temperature, akin to selecting the finest ingredients for a delectable buttery confection. This comprehensive approach allowed us to isolate the unique contribution of butter consumption to the variation in wind power generation, akin to distinguishing the individual notes in a symphony of flavors.

In addition to quantitative analyses, we complemented our approach with qualitative investigations, including interviews with industry experts and stakeholders in both the dairy and energy sectors. These interactions provided valuable insights into the socio-economic and cultural dynamics that may underpin the butter-wind power connection. Our methodology was designed with the precision of a master butter sculptor, shaping and refining our understanding of this unusual correlation.

In summary, our methodology encompassed a blend of quantitative analyses, control variable integrations, and qualitative investigations, akin to the intricate layers of a laminated croissant. This multifaceted approach allowed us to churn through the data, elucidating the complex interplay between butter consumption and wind power generation in Turkiye, akin to uncovering the layers of a flaky pastry.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Butter consumption and Wind power generated in Turkiye. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from USDA and Energy Information Administration .

For the time period 1998 to 2021, you found a correlation 0.9392456, r-squared of 0.8821822, 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]]
"Churning Winds: The Butter-Wind Power Connection in Turkiye"

[[ABSTRACT]]
This paper examines the curious relationship between butter consumption and wind power generation in Turkiye. Utilizing data from the USDA and the Energy Information Administration, we conducted a comprehensive analysis to unravel the enigmatic link between these seemingly disparate factors. Our findings reveal a remarkably high correlation coefficient of 0.9392456 and a statistically significant p-value of < 0.01 for the years spanning from 1998 to 2021.

The burgeoning interest in renewable energy sources has led to numerous studies exploring the factors influencing wind power generation. However, the unexpected revelation of the association between butter consumption and wind power in Turkiye adds a delightful twist to the discourse. It seems that the phrase "butter makes everything better" may extend beyond culinary pleasures and into the realm of sustainable energy. One might even say that "when there's butter, there's a way" to harness the power of the wind.

The implications of this correlation are both fascinating and worthy of further investigation. Could it be that the gusts of wind in Turkiye carry subtle aromas of freshly churned butter, inspiring a collective societal drive towards sustainable energy practices? Or perhaps there exist underlying socio-economic factors that contribute to this intriguing convergence. As we delve deeper into this subject, it becomes clear that the realms of gastronomy and green energy may be more intertwined than previously imagined.

In light of these revelatory findings, we invite fellow researchers to join us in exploring this uncharted territory of interdisciplinary research. Together, we may unearth the underlying mechanisms behind this butter-wind power nexus and, in doing so, spread the joy of discovery as generously as butter on warm bread.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The connection between butter consumption and wind power generation may seem as unlikely as finding butter in the wind, but our study has revealed an intriguing connection that is more than just a "butterly" coincidence. As we spread our findings, we hope to churn up some interest in this unexpected correlation.
Renewable energy sources have been at the forefront of environmental discussions, with wind power being a significant focus. However, our research has uncovered a correlation that is as unexpected as finding a fly in the buttermilk. The potential implications of this connection go beyond mere curiosity and have the potential to butter up the fields of both energy research and dairy products.
In this paper, we present our analysis of the relationship between butter consumption and wind power generation in Turkiye. Our findings suggest a robust and statistically significant association between the two, challenging conventional wisdom and adding a savory layer to our understanding of sustainable energy practices. We hope that our findings will inspire others to take a closer look at this buttery wind power conundrum and perhaps even "spread" further research into unexpected connections in the future.
The unexpected intersection of two seemingly unrelated domains presents an exciting opportunity for interdisciplinary exploration. As we delve into the details of our analysis, it becomes clear that there is more to this butter-wind power connection than initially meets the eye. We invite fellow researchers to join us in unraveling this intriguing mystery and hope that our findings will "butter up" the field of renewable energy research in surprising new ways.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our analysis revealed a remarkably high correlation coefficient (r) of 0.9392456 between butter consumption and wind power generation in Turkiye for the period spanning from 1998 to 2021. This implies a strong positive relationship, showing that as butter consumption increased, so did the wind power generated. It appears that butter and wind power are not only versatile in their respective domains but also share a striking synchronicity that is as smooth as, well, butter.

The coefficient of determination (r-squared) of 0.8821822 indicated that approximately 88.22% of the variability in wind power generation can be explained by changes in butter consumption. One might say that the influence of butter on wind power is not merely a "spread" out phenomenon, but rather an intricate and substantial force of nature.

The p-value of < 0.01 confirmed the statistical significance of the relationship between butter consumption and wind power generation. This finding suggests that the likelihood of observing such a strong association due to random chance is exceedingly low, providing robust evidence for the existence of a genuine connection. It seems that the correlation between butter consumption and wind power generation in Turkiye is not just a "butter rumor" but a scientifically supported phenomenon.

In Fig. 1, a scatterplot illustrates the strong positive correlation between butter consumption and wind power generation in Turkiye. The data points are tightly clustered around a positively sloped regression line, clearly demonstrating the synchronous rise in both variables. One could say that the relationship between butter consumption and wind power generation is as clear as a pane of butter churned to perfection.

The unexpected revelation of this butter-wind power connection in Turkiye invites further exploration and analysis. This unforeseen alliance challenges conventional assumptions and beckons researchers to examine the interplay between seemingly unrelated factors more closely. As we consider the implications of this correlation, it is apparent that the intertwining of butter consumption and wind power generation may hold deeper significance than meets the eye. This unexpected turn of events emphasizes the need for interdisciplinary investigations that may "butter up" our understanding of complex systems and phenomena.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Butter consumption and Wind power generated in Turkiye. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
"Churning Winds: The Butter-Wind Power Connection in Turkiye"

[[ABSTRACT]]
This paper examines the curious relationship between butter consumption and wind power generation in Turkiye. Utilizing data from the USDA and the Energy Information Administration, we conducted a comprehensive analysis to unravel the enigmatic link between these seemingly disparate factors. Our findings reveal a remarkably high correlation coefficient of 0.9392456 and a statistically significant p-value of < 0.01 for the years spanning from 1998 to 2021.

The burgeoning interest in renewable energy sources has led to numerous studies exploring the factors influencing wind power generation. However, the unexpected revelation of the association between butter consumption and wind power in Turkiye adds a delightful twist to the discourse. It seems that the phrase "butter makes everything better" may extend beyond culinary pleasures and into the realm of sustainable energy. One might even say that "when there's butter, there's a way" to harness the power of the wind.

The implications of this correlation are both fascinating and worthy of further investigation. Could it be that the gusts of wind in Turkiye carry subtle aromas of freshly churned butter, inspiring a collective societal drive towards sustainable energy practices? Or perhaps there exist underlying socio-economic factors that contribute to this intriguing convergence. As we delve deeper into this subject, it becomes clear that the realms of gastronomy and green energy may be more intertwined than previously imagined.

In light of these revelatory findings, we invite fellow researchers to join us in exploring this uncharted territory of interdisciplinary research. Together, we may unearth the underlying mechanisms behind this butter-wind power nexus and, in doing so, spread the joy of discovery as generously as butter on warm bread.

[[LITERATURE REVIEW]]
In "Smith et al.," the authors find a positive correlation between butter consumption and wind power generation in Turkiye. This unexpected association challenges conventional wisdom, adding a flavorful twist to the discourse on renewable energy sources. The findings raise intriguing questions about the underlying mechanisms driving this correlation and its potential implications for sustainable energy practices.
Doe and Jones conducted a comprehensive analysis of butter consumption patterns and wind power generation in Turkiye, revealing a statistically significant relationship between the two variables. The authors highlight the need for further exploration to elucidate the factors contributing to this peculiar connection and its potential impact on energy policy and agricultural practices.
Now, turning to non-fiction sources, "The Butter Book" by Elaine Khosrova provides a comprehensive exploration of the cultural and culinary significance of butter, offering insights into its historical consumption patterns and societal importance. Similarly, "Wind Energy Explained" by James F. Manwell and Jon G. McGowan offers a detailed overview of the principles and technologies behind wind power generation, providing a valuable context for understanding the complexities of this renewable energy source.
On the fictional side, "Windhaven" by George R.R. Martin and Lisa Tuttle weaves a tale of a world sustained by wind-powered flights, offering a unique perspective on the potential societal impact of wind energy. In a lighter vein, "Butter: A Rich History" by Elaine Khosrova adds a whimsical touch to the exploration of butter's cultural significance, blending historical insights with culinary anecdotes that may resonate with readers.
In the realm of television, "Wind at My Back" and "Butter and Brown" offer contrasting themes but serve as delightful sources of entertainment, inspiring a unique blend of thoughts about wind power and butter consumption in Turkiye.
The unexpected intersection of butter consumption and wind power generation prompts a reevaluation of traditional paradigms and opens new avenues for interdisciplinary research. As we navigate this uncharted territory, it becomes clear that the butter-wind power connection is not merely a "spread" coincidence, but rather a unique and thought-provoking area deserving of further scholarly attention.
"Dad, did you hear about the restaurant on the moon? Great food, no atmosphere."

[[RESULTS]]
The results of our analysis revealed a remarkably high correlation coefficient (r) of 0.9392456 between butter consumption and wind power generation in Turkiye for the period spanning from 1998 to 2021. This implies a strong positive relationship, showing that as butter consumption increased, so did the wind power generated. It appears that butter and wind power are not only versatile in their respective domains but also share a striking synchronicity that is as smooth as, well, butter.
The coefficient of determination (r-squared) of 0.8821822 indicated that approximately 88.22% of the variability in wind power generation can be explained by changes in butter consumption. One might say that the influence of butter on wind power is not merely a "spread" out phenomenon, but rather an intricate and substantial force of nature.
The p-value of < 0.01 confirmed the statistical significance of the relationship between butter consumption and wind power generation. This finding suggests that the likelihood of observing such a strong association due to random chance is exceedingly low, providing robust evidence for the existence of a genuine connection. It seems that the correlation between butter consumption and wind power generation in Turkiye is not just a "butter rumor" but a scientifically supported phenomenon.
In Fig. 1, a scatterplot illustrates the strong positive correlation between butter consumption and wind power generation in Turkiye. The data points are tightly clustered around a positively sloped regression line, clearly demonstrating the synchronous rise in both variables. One could say that the relationship between butter consumption and wind power generation is as clear as a pane of butter churned to perfection.
The unexpected revelation of this butter-wind power connection in Turkiye invites further exploration and analysis. This unforeseen alliance challenges conventional assumptions and beckons researchers to examine the interplay between seemingly unrelated factors more closely. As we consider the implications of this correlation, it is apparent that the intertwining of butter consumption and wind power generation may hold deeper significance than meets the eye. This unexpected turn of events emphasizes the need for interdisciplinary investigations that may "butter up" our understanding of complex systems and phenomena.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study confirm and extend the prior findings by Smith et al. and Doe and Jones, underscoring the robustness of the association between butter consumption and wind power generation in Turkiye. The remarkably high correlation coefficient and statistically significant p-value align with the earlier literature, indicating a strong and reliable relationship. It seems that the "butter-wind power nexus" is not merely a fanciful notion but a substantive and scientifically sound phenomenon – a "butter belief" that has been affirmed by empirical evidence.

The substantial coefficient of determination further emphasizes the influential role of butter consumption in explaining the variability of wind power generation. This suggests that butter's impact on wind power goes beyond mere coincidence; it wields a significant, dare we say, "spreadtacular" influence on the dynamics of renewable energy production.

The scatterplot depicting the positive correlation visually reinforces the synchronous rise in butter consumption and wind power generation. It is as if the data points are engaged in a harmonious waltz, eloquently expressing the unison between these two seemingly unrelated entities. One could say that this correlation is as convincing as a butter sculpture at a state fair – a manifestation of artistry and coherence.

This unexpected association between butter consumption and wind power generation opens new avenues for interdisciplinary inquiry. While it may seem like an odd couple at first, the "butter-wind power connection" challenges traditional disciplinary boundaries and beckons researchers to adopt a broader perspective. In essence, it suggests that the realms of dairy and renewables are not as distinct as one might think, prompting us to formulate an interdisciplinary model that blends the creamy richness of butter with the gusty momentum of wind power.

In conclusion, the butter-wind power connection in Turkiye is not something to be taken lightly. This intricate interplay calls for further exploration and invites scholarly engagement from a diverse array of disciplines. As we unravel the layers of this enigmatic relationship, let us embrace the humor and whimsy inherent in this unexpected pairing and endeavor to "butter" our understanding of complex socio-environmental interactions.

"Dad, can you put the cat out?" "I didn't know it was on fire."

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Butter consumption and Wind power generated in Turkiye. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
"Churning Winds: The Butter-Wind Power Connection in Turkiye"

[[ABSTRACT]]
This paper examines the curious relationship between butter consumption and wind power generation in Turkiye. Utilizing data from the USDA and the Energy Information Administration, we conducted a comprehensive analysis to unravel the enigmatic link between these seemingly disparate factors. Our findings reveal a remarkably high correlation coefficient of 0.9392456 and a statistically significant p-value of < 0.01 for the years spanning from 1998 to 2021.

The burgeoning interest in renewable energy sources has led to numerous studies exploring the factors influencing wind power generation. However, the unexpected revelation of the association between butter consumption and wind power in Turkiye adds a delightful twist to the discourse. It seems that the phrase "butter makes everything better" may extend beyond culinary pleasures and into the realm of sustainable energy. One might even say that "when there's butter, there's a way" to harness the power of the wind.

The implications of this correlation are both fascinating and worthy of further investigation. Could it be that the gusts of wind in Turkiye carry subtle aromas of freshly churned butter, inspiring a collective societal drive towards sustainable energy practices? Or perhaps there exist underlying socio-economic factors that contribute to this intriguing convergence. As we delve deeper into this subject, it becomes clear that the realms of gastronomy and green energy may be more intertwined than previously imagined.

In light of these revelatory findings, we invite fellow researchers to join us in exploring this uncharted territory of interdisciplinary research. Together, we may unearth the underlying mechanisms behind this butter-wind power nexus and, in doing so, spread the joy of discovery as generously as butter on warm bread.

[[INTRDUCTION]]
The connection between butter consumption and wind power generation may seem as unlikely as finding butter in the wind, but our study has revealed an intriguing connection that is more than just a "butterly" coincidence. As we spread our findings, we hope to churn up some interest in this unexpected correlation.
Renewable energy sources have been at the forefront of environmental discussions, with wind power being a significant focus. However, our research has uncovered a correlation that is as unexpected as finding a fly in the buttermilk. The potential implications of this connection go beyond mere curiosity and have the potential to butter up the fields of both energy research and dairy products.
In this paper, we present our analysis of the relationship between butter consumption and wind power generation in Turkiye. Our findings suggest a robust and statistically significant association between the two, challenging conventional wisdom and adding a savory layer to our understanding of sustainable energy practices. We hope that our findings will inspire others to take a closer look at this buttery wind power conundrum and perhaps even "spread" further research into unexpected connections in the future.
The unexpected intersection of two seemingly unrelated domains presents an exciting opportunity for interdisciplinary exploration. As we delve into the details of our analysis, it becomes clear that there is more to this butter-wind power connection than initially meets the eye. We invite fellow researchers to join us in unraveling this intriguing mystery and hope that our findings will "butter up" the field of renewable energy research in surprising new ways.

[[RESULTS]]
The results of our analysis revealed a remarkably high correlation coefficient (r) of 0.9392456 between butter consumption and wind power generation in Turkiye for the period spanning from 1998 to 2021. This implies a strong positive relationship, showing that as butter consumption increased, so did the wind power generated. It appears that butter and wind power are not only versatile in their respective domains but also share a striking synchronicity that is as smooth as, well, butter.
The coefficient of determination (r-squared) of 0.8821822 indicated that approximately 88.22% of the variability in wind power generation can be explained by changes in butter consumption. One might say that the influence of butter on wind power is not merely a "spread" out phenomenon, but rather an intricate and substantial force of nature.
The p-value of < 0.01 confirmed the statistical significance of the relationship between butter consumption and wind power generation. This finding suggests that the likelihood of observing such a strong association due to random chance is exceedingly low, providing robust evidence for the existence of a genuine connection. It seems that the correlation between butter consumption and wind power generation in Turkiye is not just a "butter rumor" but a scientifically supported phenomenon.
In Fig. 1, a scatterplot illustrates the strong positive correlation between butter consumption and wind power generation in Turkiye. The data points are tightly clustered around a positively sloped regression line, clearly demonstrating the synchronous rise in both variables. One could say that the relationship between butter consumption and wind power generation is as clear as a pane of butter churned to perfection.
The unexpected revelation of this butter-wind power connection in Turkiye invites further exploration and analysis. This unforeseen alliance challenges conventional assumptions and beckons researchers to examine the interplay between seemingly unrelated factors more closely. As we consider the implications of this correlation, it is apparent that the intertwining of butter consumption and wind power generation may hold deeper significance than meets the eye. This unexpected turn of events emphasizes the need for interdisciplinary investigations that may "butter up" our understanding of complex systems and phenomena.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has uncovered a robust and statistically significant correlation between butter consumption and wind power generation in Turkiye, shedding light on a connection as unexpected as finding butter in the wind. The high correlation coefficient and low p-value indicate a compelling relationship that defies conventional expectations, much like the surprise of finding an extra pat of butter in the fridge.

The implications of this correlation extend beyond the realms of gastronomy and renewable energy, challenging us to rethink the interconnectedness of seemingly unrelated phenomena. As we "churn" through these findings, it becomes clear that the phrase "where there's butter, there's a way" may hold true not only in culinary contexts but also in harnessing the power of the wind. One might even say that this butter-wind power nexus is a recipe for success in sustainable energy practices.

The scatterplot depicting the synchronous rise in butter consumption and wind power generation paints a picture as vivid as a freshly churned pat of butter, highlighting the undeniable link between these variables. The coefficient of determination speaks to the substantial influence of butter on wind power, demonstrating that this connection is not just a "spread" out phenomenon, but a significant force in its own right.

Overall, our findings invite further interdisciplinary exploration into the unexpected connections that permeate our world, presenting an opportunity to "butter up" the fields of research in delightful new ways. As we continue to unravel the mysteries of this butter-wind power conundrum, our hope is that these revelations will inspire others to explore the uncharted territories of interdisciplinary research with as much enthusiasm as spreading butter on warm bread.

In light of these revelatory findings, we assert that no further research is needed in this area.

*Couldn't resist slipping in that last bit of pun-determined conclusion!

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 Churning Winds: The Butter-Wind Power Connection in Turkiye. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Dairy-Driven Renewable Energy

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 Churning Winds: The Butter-Wind Power Connection in Turkiye. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Dairy-Driven Alternative Energy 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 Churning Winds: The Butter-Wind Power Connection in Turkiye with an abstract of This paper examines the curious relationship between butter consumption and wind power generation in Turkiye. Utilizing data from the USDA and the Energy Information Administration, we conducted a comprehensive analysis to unravel the enigmatic link between these seemingly disparate factors. Our findings reveal a remarkably high correlation coefficient of 0.9392456 and a statistically significant p-value of < 0.01 for the years spanning from 1998 to 2021.
The burgeoning interest in renewable energy sources has led to numerous studies exploring the factors influencing wind power generation. However, the unexpected revelation of the association between butter consumption and wind power in Turkiye adds a delightful twist to the discourse. It seems that the phrase "butter makes everything better" may extend beyond culinary pleasures and into the realm of sustainable energy. One might even say that "when there's butter, there's a way" to harness the power of the wind.
The implications of this correlation are both fascinating and worthy of further investigation. Could it be that the gusts of wind in Turkiye carry subtle aromas of freshly churned butter, inspiring a collective societal drive towards sustainable energy practices? Or perhaps there exist underlying socio-economic factors that contribute to this intriguing convergence. As we delve deeper into this subject, it becomes clear that the realms of gastronomy and green energy may be more intertwined than previously imagined.
In light of these revelatory findings, we invite fellow researchers to join us in exploring this uncharted territory of interdisciplinary research. Together, we may unearth the underlying mechanisms behind this butter-wind power nexus and, in doing so, spread the joy of discovery as generously as butter on warm bread.

ChatGPT:

butter consumption, wind power generation, renewable energy sources, sustainable energy practices, gastronomy, interdisciplinary research, Turkiye, butter-wind power nexus, sustainable energy, socio-economic factors, renewable energy, butter-wind correlation, wind power factors, butter consumption in Turkey, wind power generation in Turkey

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.

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Data details

Butter consumption
Detailed data title: Per capita consumption of Butter in the US
Source: USDA
See what else correlates with Butter consumption

Wind power generated in Turkiye
Detailed data title: Total wind power generated in Turkiye in billion kWh
Source: Energy Information Administration
See what else correlates with Wind power generated in Turkiye

Correlation r = 0.9392456 (Pearson correlation coefficient)
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 = 0.8821822 (Coefficient of determination)
This means 88.2% of the change in the one variable (i.e., Wind power generated in Turkiye) is predictable based on the change in the other (i.e., Butter consumption) over the 24 years from 1998 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.08E-11.^Show 0.0000000000108130672642218060
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note 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 0.94 in 1.08E-9% of random cases. Said differently, if you correlated 92,480,697,249 random variables^Note You don't actually need 92 billion 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, ^Note 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.

[ 0.86, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} 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: ^Note 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
Butter consumption (Pounds per person)	4.3	4.6	4.5	4.3	4.4	4.5	4.5	4.5	4.7	4.7	5	5	4.9	5.4	5.5	5.5	5.5	5.6	5.7	5.7	6	6.2	6.3	6.5
Wind power generated in Turkiye (Billion kWh)	0.005	0.021	0.033	0.062	0.048	0.061	0.058	0.059	0.127	0.355	0.847	1.495	2.908	4.716	5.837	7.535	8.485	11.591	15.3811	17.7932	19.8361	21.6131	24.828	31.0299

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^Note 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^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} 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([4.3,4.6,4.5,4.3,4.4,4.5,4.5,4.5,4.7,4.7,5,5,4.9,5.4,5.5,5.5,5.5,5.6,5.7,5.7,6,6.2,6.3,6.5,])
array_2 = np.array([0.005,0.021,0.033,0.062,0.048,0.061,0.058,0.059,0.127,0.355,0.847,1.495,2.908,4.716,5.837,7.535,8.485,11.591,15.3811,17.7932,19.8361,21.6131,24.828,31.0299,])
array_1_name = "Butter consumption"
array_2_name = "Wind power generated in Turkiye"

# 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. ^Note 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 ^Note 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 Butter consumption
Line chart for only Wind power generated in Turkiye
AI-generated correlation image
The spurious research paper: Churning Winds: The Butter-Wind Power Connection in Turkiye

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Correlation ID: 3038 · Black Variable ID: 557 · Red Variable ID: 24048


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