about · email me · subscribe
Spurious correlation #4,223 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of animal scientists in Ohio and the second variable is Solar power generated in Albania.  The chart goes from 2010 to 2019, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the animal scientists in Ohio honed their skills of communication and teamwork, their collective aura of productivity and ingenuity inadvertently resonated across the globe, inspiring the people of Albania to harness the power of the sun in unprecedented ways. It's almost as if the secret to solar energy lay not in engineering or technology, but in the hoofbeats of a thousand grazing cows and the oinks of contented pigs. Truly, it's a case of agricultural wizardry leading to a sunny revolution half a world away!

Model: dalle-3
Prompt: Generate an image where a bustling, futuristic barn with sleek, cyberpunk architecture stands dominantly in a rural Ohio landscape. Within the barn, animal scientists clad in high-tech attire collaborate amid glowing holographic displays and advanced machinery. Meanwhile, in a nearby Albanian countryside, dazzling cyberpunk-infused solar panels catch the sunlight, casting a captivating sheen across the agricultural terrain. The fusion of traditional farming and cutting-edge technology presents a harmonious blend, symbolizing the powerful influence of the Ohio scientists on the embracement of solar energy in the Albanian countryside. 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 animal scientists in Ohio and Solar power generated in Albania. 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: A scene from Skyrim Steampunk A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Cyberpunk Low poly
ChatGPT: Cyberpunk

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 animal scientists in Ohio and Solar power generated in Albania, in the following situation: As the animal scientists in Ohio honed their skills of communication and teamwork, their collective aura of productivity and ingenuity inadvertently resonated across the globe, inspiring the people of Albania to harness the power of the sun in unprecedented ways. It's almost as if the secret to solar energy lay not in engineering or technology, but in the hoofbeats of a thousand grazing cows and the oinks of contented pigs. Truly, it's a case of agricultural wizardry leading to a sunny revolution half a world away!. Keep the description simple.
ChatGPT: In a rural scene, animal scientists in Ohio work together in a bustling barn, exchanging ideas and collaborating. Nearby, in Albania, solar panels gleam in the sun, their power illuminating the countryside. The collective efforts of the Ohio scientists seem to have inspired the Albanians to embrace solar energy, as they work to harness the sun's power in innovative ways amidst their agricultural landscape.

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: [ Cyberpunk ] and depicting this scene: In a rural scene, animal scientists in Ohio work together in a bustling barn, exchanging ideas and collaborating. Nearby, in Albania, solar panels gleam in the sun, their power illuminating the countryside. The collective efforts of the Ohio scientists seem to have inspired the Albanians to embrace solar energy, as they work to harness the sun's power in innovative ways amidst their agricultural landscape. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image where a bustling, futuristic barn with sleek, cyberpunk architecture stands dominantly in a rural Ohio landscape. Within the barn, animal scientists clad in high-tech attire collaborate amid glowing holographic displays and advanced machinery. Meanwhile, in a nearby Albanian countryside, dazzling cyberpunk-infused solar panels catch the sunlight, casting a captivating sheen across the agricultural terrain. The fusion of traditional farming and cutting-edge technology presents a harmonious blend, symbolizing the powerful influence of the Ohio scientists on the embracement of solar energy in the Albanian countryside.

*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.

Model: gpt-3.5-turbo-1106 (fine-tuned)
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 animal scientists in Ohio caused Solar power generated in Albania to increase.

AI academic paper

(Because p < 0.01)
Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania

Journal of Transcontinental Agricultural and Renewable Energy Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!
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 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 animal scientists in Ohio and Solar power generated in Albania. Make lots of 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 Bureau of Larbor Statistics and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.7912180 and p < 0.01 for 2010 to 2019.

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]]
"Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania"

[[ABSTRACT]]
In this paper, we delve into the hilarious yet strangely compelling relationship between the number of animal scientists in the great state of Ohio and the solar power generated halfway across the globe in Albania. Combining the data from the Bureau of Labor Statistics and the Energy Information Administration, our research team has crunched the numbers and uncovered a perplexing correlation coefficient of 0.7912180, with a statistically significant p-value of less than 0.01. While many may assume there is no connection between these two seemingly random variables, our findings suggest otherwise. Join us as we dissect this improbable association and shine a light on the unexpected synergies between agricultural expertise and renewable energy production.


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 animal scientists in Ohio and Solar power generated in Albania. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
"Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania"

[[ABSTRACT]]
In this paper, we delve into the hilarious yet strangely compelling relationship between the number of animal scientists in the great state of Ohio and the solar power generated halfway across the globe in Albania. Combining the data from the Bureau of Labor Statistics and the Energy Information Administration, our research team has crunched the numbers and uncovered a perplexing correlation coefficient of 0.7912180, with a statistically significant p-value of less than 0.01. While many may assume there is no connection between these two seemingly random variables, our findings suggest otherwise. Join us as we dissect this improbable association and shine a light on the unexpected synergies between agricultural expertise and renewable energy production.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The world of scientific research often takes us on unexpected journeys, leading us down peculiar paths and uncovering correlations that leave us scratching our heads in bemusement. In that spirit, we set out to investigate a rather unusual relationship between the number of animal scientists in Ohio and the solar power generated in Albania. As the old saying goes, "When life gives you solar power data and animal scientists, you conduct a correlation study!"

At first glance, one might wonder if this scholarly endeavor is as bewildering as a cat trying to understand quantum physics. However, our initial puzzlement turned into genuine curiosity as we delved into the seemingly unrelated realms of agricultural zoology and renewable energy generation. While the connection between these two subjects seems as enigmatic as deciphering ancient hieroglyphs, the data revealed an unexpected association that left our research team both astounded and amused.

The goal of this paper is not only to present our findings but also to share in the delight of unraveling this curiously correlated conundrum. So, grab your lab coat and your sun hat as we embark on this scientific romp through the cornfields of Ohio and the sun-soaked plains of Albania. Let's peel back this peculiar pairing and shine a spotlight on the surprising symbiosis between animal science and solar power.


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 animal scientists in Ohio and Solar power generated in Albania. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
"Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania"

[[ABSTRACT]]
In this paper, we delve into the hilarious yet strangely compelling relationship between the number of animal scientists in the great state of Ohio and the solar power generated halfway across the globe in Albania. Combining the data from the Bureau of Labor Statistics and the Energy Information Administration, our research team has crunched the numbers and uncovered a perplexing correlation coefficient of 0.7912180, with a statistically significant p-value of less than 0.01. While many may assume there is no connection between these two seemingly random variables, our findings suggest otherwise. Join us as we dissect this improbable association and shine a light on the unexpected synergies between agricultural expertise and renewable energy production.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The world of scientific research often takes us on unexpected journeys, leading us down peculiar paths and uncovering correlations that leave us scratching our heads in bemusement. In that spirit, we set out to investigate a rather unusual relationship between the number of animal scientists in Ohio and the solar power generated in Albania. As the old saying goes, "When life gives you solar power data and animal scientists, you conduct a correlation study!"
At first glance, one might wonder if this scholarly endeavor is as bewildering as a cat trying to understand quantum physics. However, our initial puzzlement turned into genuine curiosity as we delved into the seemingly unrelated realms of agricultural zoology and renewable energy generation. While the connection between these two subjects seems as enigmatic as deciphering ancient hieroglyphs, the data revealed an unexpected association that left our research team both astounded and amused.
The goal of this paper is not only to present our findings but also to share in the delight of unraveling this curiously correlated conundrum. So, grab your lab coat and your sun hat as we embark on this scientific romp through the cornfields of Ohio and the sun-soaked plains of Albania. Let's peel back this peculiar pairing and shine a spotlight on the surprising symbiosis between animal science and solar power.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In "The Agricultural Landscape of Ohio," Smith and Doe examine the distribution and expertise of animal scientists in the state of Ohio, providing a comprehensive analysis of the demographics and educational backgrounds of individuals engaged in agricultural sciences. Their work sheds light on the vital role played by animal scientists in promoting sustainable agricultural practices and advancing animal welfare within the state.

Similarly, Jones and Smith, in their seminal work "Renewable Energy in the Balkans," explore the burgeoning solar power industry in Albania, offering insights into the factors driving the growth of renewable energy infrastructure in the region. Through meticulous data analysis and on-the-ground investigations, the authors unravel the complexities of solar power generation, providing a thorough examination of Albania's transition towards greener energy solutions.

On a tangentially related note, "The Solar-Powered Cow: A Tale of Energy Innovation," delves into the whimsical world of fictional narratives, depicting a utopian society where cows are equipped with solar panels on their backs, leading to a bovine-led energy revolution. While this work may seem far-fetched, it serves as a reminder of the imaginative possibilities intertwined with both animal science and solar power.

Expanding further into the realm of fictional literature, "The Sun-Drenched Farm Chronicles" presents a series of novels set in rural Ohio, where protagonists navigate the complexities of agricultural life while also grappling with the allure of harnessing solar energy on their farms. While the characters' exploits may veer into the realm of fiction, the undercurrent of agricultural innovation and renewable energy integration provides a captivating backdrop to the narrative.

In a daring departure from conventional academic sources, our research team undertook a lighthearted perusal of unconventional material, including the back labels of shampoo bottles found in various laboratories and agricultural research facilities. While the contents of these labels were not directly related to our research inquiry, they did provide a momentary diversion and a newfound appreciation for the intricate world of hair care products. While the validity of insights garnered from shampoo bottle labels may be dubious, we maintain that in the spirit of scholarly inquiry, even the most unconventional sources warrant a cursory acknowledgment.

In conclusion, the interplay between animal scientists in Ohio and solar power generation in Albania presents a tapestry of unexpected connections and comical juxtapositions. Through our literature review, we have traversed the serious, the imaginative, and the downright absurd, all in pursuit of unraveling the intriguing correlations at the heart of our research endeavor.


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 animal scientists in Ohio and Solar power generated in Albania. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Energy Information Administration . You used data from 2010 to 2019

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]]
"Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania"

[[ABSTRACT]]
In this paper, we delve into the hilarious yet strangely compelling relationship between the number of animal scientists in the great state of Ohio and the solar power generated halfway across the globe in Albania. Combining the data from the Bureau of Labor Statistics and the Energy Information Administration, our research team has crunched the numbers and uncovered a perplexing correlation coefficient of 0.7912180, with a statistically significant p-value of less than 0.01. While many may assume there is no connection between these two seemingly random variables, our findings suggest otherwise. Join us as we dissect this improbable association and shine a light on the unexpected synergies between agricultural expertise and renewable energy production.

[[INTRODUCTION]]
The world of scientific research often takes us on unexpected journeys, leading us down peculiar paths and uncovering correlations that leave us scratching our heads in bemusement. In that spirit, we set out to investigate a rather unusual relationship between the number of animal scientists in Ohio and the solar power generated in Albania. As the old saying goes, "When life gives you solar power data and animal scientists, you conduct a correlation study!"
At first glance, one might wonder if this scholarly endeavor is as bewildering as a cat trying to understand quantum physics. However, our initial puzzlement turned into genuine curiosity as we delved into the seemingly unrelated realms of agricultural zoology and renewable energy generation. While the connection between these two subjects seems as enigmatic as deciphering ancient hieroglyphs, the data revealed an unexpected association that left our research team both astounded and amused.
The goal of this paper is not only to present our findings but also to share in the delight of unraveling this curiously correlated conundrum. So, grab your lab coat and your sun hat as we embark on this scientific romp through the cornfields of Ohio and the sun-soaked plains of Albania. Let's peel back this peculiar pairing and shine a spotlight on the surprising symbiosis between animal science and solar power.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To uncover the mysterious connection between the number of animal scientists in Ohio and the solar power generated in Albania, a combination of rigorous data collection and a sprinkle of whimsical statistical analysis was employed. Our research team scoured the vast expanse of the internet, navigating through the tangled web of information with the determination of a bloodhound on the scent. While we encountered myriad distractions and tempting clickbait along the way, our focus remained steadfast on the pursuit of this peculiar correlation.

The primary sources for our data were the hallowed archives of the Bureau of Labor Statistics and the Energy Information Administration. These beacons of statistical insight provided us with a wealth of information spanning the illustrious years from 2010 to 2019. Simultaneously, we endeavored to embrace the spirit of inclusivity by encompassing the full breadth of diverse sources, much like gathering an eclectic ensemble cast for a scientific theater production.

In an act of data wrangling that would make even the most unkempt sheep envy our prowess, we meticulously parsed through the numbers, sifting out the outliers and anomalies with the precision of a surgeon separating conjoined statistical twins. Our approach was as methodical as a farmer meticulously plowing her field before the planting season, ensuring that each piece of data was tended to with care and attention.

With the arsenal of statistical tools at our disposal, including the likes of correlation analysis and regression modeling, we harnessed the power of numbers to unravel the enigmatic relationship between these disparate variables. Our statistical tests were conducted with a rigor that rivaled the intensity of a competitive game of statistical limbo, as we aimed to explore just how low the p-value could go.

As with any scientific endeavor, our quest for knowledge was imbued with a touch of lighthearted curiosity, akin to stumbling upon a corn maze and gleefully succumbing to its whimsical twists and turns. Despite the unconventional nature of our research question, our commitment to scientific rigor remained as unwavering as a GPS navigating through rural farmland—it may encounter the occasional detour, but the ultimate destination is always within reach.

Now that the stage has been set and the data meticulously poised for analysis, we invite you to join us as we peel back the layers of this unlikely pairing and shed light on the unexpected dance between animal scientists and solar power generation. With our methodology firmly rooted in both precision and playfulness, let us embark on this scientific escapade with a wink and a nod to the whimsy of statistical exploration.


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 animal scientists in Ohio and Solar power generated in Albania. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

For the time period 2010 to 2019, you found a correlation 0.7912180, r-squared of 0.6260259, 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]]
"Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania"

[[ABSTRACT]]
In this paper, we delve into the hilarious yet strangely compelling relationship between the number of animal scientists in the great state of Ohio and the solar power generated halfway across the globe in Albania. Combining the data from the Bureau of Labor Statistics and the Energy Information Administration, our research team has crunched the numbers and uncovered a perplexing correlation coefficient of 0.7912180, with a statistically significant p-value of less than 0.01. While many may assume there is no connection between these two seemingly random variables, our findings suggest otherwise. Join us as we dissect this improbable association and shine a light on the unexpected synergies between agricultural expertise and renewable energy production.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The world of scientific research often takes us on unexpected journeys, leading us down peculiar paths and uncovering correlations that leave us scratching our heads in bemusement. In that spirit, we set out to investigate a rather unusual relationship between the number of animal scientists in Ohio and the solar power generated in Albania. As the old saying goes, "When life gives you solar power data and animal scientists, you conduct a correlation study!"
At first glance, one might wonder if this scholarly endeavor is as bewildering as a cat trying to understand quantum physics. However, our initial puzzlement turned into genuine curiosity as we delved into the seemingly unrelated realms of agricultural zoology and renewable energy generation. While the connection between these two subjects seems as enigmatic as deciphering ancient hieroglyphs, the data revealed an unexpected association that left our research team both astounded and amused.
The goal of this paper is not only to present our findings but also to share in the delight of unraveling this curiously correlated conundrum. So, grab your lab coat and your sun hat as we embark on this scientific romp through the cornfields of Ohio and the sun-soaked plains of Albania. Let's peel back this peculiar pairing and shine a spotlight on the surprising symbiosis between animal science and solar power.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

**[[RESULTS]]**

Our investigation into the connection between the number of animal scientists in Ohio and the solar power generated in Albania yielded intriguing results. The correlation coefficient between these seemingly unrelated variables was found to be 0.7912180, indicating a moderately strong positive relationship. This unexpected association left our research team both scratching our heads and marveling at the whims of statistical fate.

The coefficient of determination, denoted by r-squared, was calculated to be 0.6260259, signifying that approximately 62.6% of the variability in the solar power generated in Albania can be explained by the number of animal scientists in Ohio. This statistical nugget of insight only adds to the mystique surrounding this unanticipated intercontinental relationship.

Furthermore, the p-value of less than 0.01 provides compelling evidence to reject the null hypothesis, indicating that this correlation is indeed statistically significant. The incredulous whispers in the academic corridors are almost audible as the scientific community processes the revelation of this unlikely bond between two disparate domains.

*Fig. 1* showcases the undeniable correlation between the number of animal scientists in Ohio and the solar power generated in Albania, leaving audiences simultaneously flabbergasted and bemused. The scatterplot provides visual confirmation of this unexpected link, urging us to reconsider the boundaries of conventional wisdom and embrace the enigmatic dance of data.

These results invite us to ponder the mysterious alignment of celestial bodies and academic disciplines, reminding us that the scientific journey is often a delightful maze of improbable connections. As we sip our tea and mull over these perplexing findings, let us revel in the sheer absurdity and magic of statistical exploration.


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 animal scientists in Ohio and Solar power generated in Albania. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
"Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania"

[[ABSTRACT]]
In this paper, we delve into the hilarious yet strangely compelling relationship between the number of animal scientists in the great state of Ohio and the solar power generated halfway across the globe in Albania. Combining the data from the Bureau of Labor Statistics and the Energy Information Administration, our research team has crunched the numbers and uncovered a perplexing correlation coefficient of 0.7912180, with a statistically significant p-value of less than 0.01. While many may assume there is no connection between these two seemingly random variables, our findings suggest otherwise. Join us as we dissect this improbable association and shine a light on the unexpected synergies between agricultural expertise and renewable energy production.

[[LITERATURE REVIEW]]
In "The Agricultural Landscape of Ohio," Smith and Doe examine the distribution and expertise of animal scientists in the state of Ohio, providing a comprehensive analysis of the demographics and educational backgrounds of individuals engaged in agricultural sciences. Their work sheds light on the vital role played by animal scientists in promoting sustainable agricultural practices and advancing animal welfare within the state.
Similarly, Jones and Smith, in their seminal work "Renewable Energy in the Balkans," explore the burgeoning solar power industry in Albania, offering insights into the factors driving the growth of renewable energy infrastructure in the region. Through meticulous data analysis and on-the-ground investigations, the authors unravel the complexities of solar power generation, providing a thorough examination of Albania's transition towards greener energy solutions.
On a tangentially related note, "The Solar-Powered Cow: A Tale of Energy Innovation," delves into the whimsical world of fictional narratives, depicting a utopian society where cows are equipped with solar panels on their backs, leading to a bovine-led energy revolution. While this work may seem far-fetched, it serves as a reminder of the imaginative possibilities intertwined with both animal science and solar power.
Expanding further into the realm of fictional literature, "The Sun-Drenched Farm Chronicles" presents a series of novels set in rural Ohio, where protagonists navigate the complexities of agricultural life while also grappling with the allure of harnessing solar energy on their farms. While the characters' exploits may veer into the realm of fiction, the undercurrent of agricultural innovation and renewable energy integration provides a captivating backdrop to the narrative.
In a daring departure from conventional academic sources, our research team undertook a lighthearted perusal of unconventional material, including the back labels of shampoo bottles found in various laboratories and agricultural research facilities. While the contents of these labels were not directly related to our research inquiry, they did provide a momentary diversion and a newfound appreciation for the intricate world of hair care products. While the validity of insights garnered from shampoo bottle labels may be dubious, we maintain that in the spirit of scholarly inquiry, even the most unconventional sources warrant a cursory acknowledgment.
In conclusion, the interplay between animal scientists in Ohio and solar power generation in Albania presents a tapestry of unexpected connections and comical juxtapositions. Through our literature review, we have traversed the serious, the imaginative, and the downright absurd, all in pursuit of unraveling the intriguing correlations at the heart of our research endeavor.

[[RESULTS]]
Our investigation into the connection between the number of animal scientists in Ohio and the solar power generated in Albania yielded intriguing results. The correlation coefficient between these seemingly unrelated variables was found to be 0.7912180, indicating a moderately strong positive relationship. This unexpected association left our research team both scratching our heads and marveling at the whims of statistical fate.
The coefficient of determination, denoted by r-squared, was calculated to be 0.6260259, signifying that approximately 62.6% of the variability in the solar power generated in Albania can be explained by the number of animal scientists in Ohio. This statistical nugget of insight only adds to the mystique surrounding this unanticipated intercontinental relationship.
Furthermore, the p-value of less than 0.01 provides compelling evidence to reject the null hypothesis, indicating that this correlation is indeed statistically significant. The incredulous whispers in the academic corridors are almost audible as the scientific community processes the revelation of this unlikely bond between two disparate domains.
*Fig. 1* showcases the undeniable correlation between the number of animal scientists in Ohio and the solar power generated in Albania, leaving audiences simultaneously flabbergasted and bemused. The scatterplot provides visual confirmation of this unexpected link, urging us to reconsider the boundaries of conventional wisdom and embrace the enigmatic dance of data.
These results invite us to ponder the mysterious alignment of celestial bodies and academic disciplines, reminding us that the scientific journey is often a delightful maze of improbable connections. As we sip our tea and mull over these perplexing findings, let us revel in the sheer absurdity and magic of statistical exploration.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The findings of our study present a puzzling yet compelling narrative that challenges conventional wisdom and delights in the unexpected connections between animal science in Ohio and solar power generation in Albania. As we reflect upon the serious, the imaginative, and the downright absurd threads woven into our literature review, we find that our results surprisingly align with prior research in both expected and unexpected ways.

Smith and Doe's analysis of the agricultural landscape of Ohio offers a sobering perspective on the critical role of animal scientists in promoting sustainable agricultural practices. Similarly, Jones and Smith's exploration of renewable energy in Albania sheds light on the factors driving the growth of solar power generation in the region. Intriguingly, our findings reveal a statistically significant correlation between the number of animal scientists in Ohio and the solar power generated in Albania, thereby supporting the notion that expertise in agricultural sciences may have unforeseen implications in the domain of renewable energy.

On a cheeky note, our whimsical perusal of "The Solar-Powered Cow: A Tale of Energy Innovation" seems to hold a smidgen of truth in light of our results. While the image of bovine-led solar panels may seem far-fetched, our data paints a picture of interconnectedness that stretches the bounds of conventional scientific understanding.

The scatterplot displayed in *Fig. 1* acts as a visual testament to the unexpected relationship between these two variables, prompting us to contemplate the whims of statistical fate and the serendipitous interplay of seemingly disparate domains. With an r-squared value of 0.6260259, we find that a sizable portion of the variability in solar power generation in Albania can indeed be explained by the number of animal scientists in Ohio, reaffirming the intricate web of correlations hinted at in the literature.

As we delve deeper into the mystique surrounding this intercontinental association, our study beckons us to revel in the delightful absurdity and magic of statistical exploration. Notions of disciplinary boundaries and geographic segregation give way to the playful dance of data, urging us to embrace the quirkiness of scientific inquiry. In the grand tapestry of scholarly pursuits, our findings serve as a reminder that the most unexpected correlations may yet hold nuggets of truth waiting to be unearthed.

Our enigmatic findings raise more questions than they answer, inciting a fervor of curiosity and intrigue within the scientific community. As we eagerly anticipate further research and exploration in this uncharted territory, let us approach the confluence of animal science and solar power with a tinge of whimsy and a dash of statistical rigor, for therein lies the beauty of scholarly pursuit.


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 animal scientists in Ohio and Solar power generated in Albania. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania"

[[ABSTRACT]]
In this paper, we delve into the hilarious yet strangely compelling relationship between the number of animal scientists in the great state of Ohio and the solar power generated halfway across the globe in Albania. Combining the data from the Bureau of Labor Statistics and the Energy Information Administration, our research team has crunched the numbers and uncovered a perplexing correlation coefficient of 0.7912180, with a statistically significant p-value of less than 0.01. While many may assume there is no connection between these two seemingly random variables, our findings suggest otherwise. Join us as we dissect this improbable association and shine a light on the unexpected synergies between agricultural expertise and renewable energy production.

[[INTRDUCTION]]
The world of scientific research often takes us on unexpected journeys, leading us down peculiar paths and uncovering correlations that leave us scratching our heads in bemusement. In that spirit, we set out to investigate a rather unusual relationship between the number of animal scientists in Ohio and the solar power generated in Albania. As the old saying goes, "When life gives you solar power data and animal scientists, you conduct a correlation study!"
At first glance, one might wonder if this scholarly endeavor is as bewildering as a cat trying to understand quantum physics. However, our initial puzzlement turned into genuine curiosity as we delved into the seemingly unrelated realms of agricultural zoology and renewable energy generation. While the connection between these two subjects seems as enigmatic as deciphering ancient hieroglyphs, the data revealed an unexpected association that left our research team both astounded and amused.
The goal of this paper is not only to present our findings but also to share in the delight of unraveling this curiously correlated conundrum. So, grab your lab coat and your sun hat as we embark on this scientific romp through the cornfields of Ohio and the sun-soaked plains of Albania. Let's peel back this peculiar pairing and shine a spotlight on the surprising symbiosis between animal science and solar power.

[[RESULTS]]
Our investigation into the connection between the number of animal scientists in Ohio and the solar power generated in Albania yielded intriguing results. The correlation coefficient between these seemingly unrelated variables was found to be 0.7912180, indicating a moderately strong positive relationship. This unexpected association left our research team both scratching our heads and marveling at the whims of statistical fate.
The coefficient of determination, denoted by r-squared, was calculated to be 0.6260259, signifying that approximately 62.6% of the variability in the solar power generated in Albania can be explained by the number of animal scientists in Ohio. This statistical nugget of insight only adds to the mystique surrounding this unanticipated intercontinental relationship.
Furthermore, the p-value of less than 0.01 provides compelling evidence to reject the null hypothesis, indicating that this correlation is indeed statistically significant. The incredulous whispers in the academic corridors are almost audible as the scientific community processes the revelation of this unlikely bond between two disparate domains.
*Fig. 1* showcases the undeniable correlation between the number of animal scientists in Ohio and the solar power generated in Albania, leaving audiences simultaneously flabbergasted and bemused. The scatterplot provides visual confirmation of this unexpected link, urging us to reconsider the boundaries of conventional wisdom and embrace the enigmatic dance of data.
These results invite us to ponder the mysterious alignment of celestial bodies and academic disciplines, reminding us that the scientific journey is often a delightful maze of improbable connections. As we sip our tea and mull over these perplexing findings, let us revel in the sheer absurdity and magic of statistical exploration.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has illuminated an unexpected and downright chuckle-worthy connection between the number of animal scientists in Ohio and the solar power generated in Albania. While the correlation coefficient of 0.7912180 may prompt raised eyebrows and quizzical expressions, the statistical significance of this bond cannot be denied – much like the undeniable force of gravity or the allure of a cheeseburger at midnight.

The r-squared value of 0.6260259 further underscores the influence of Ohio's agricultural expertise on Albania's solar energy output, leaving us with a statistical puzzle as perplexing as a Rubik's Cube in a dark room. Our scatterplot, as whimsical as a Jackson Pollock painting, visually encapsulates this bewildering relationship, inviting us to marvel at the often absurd beauty of statistical serendipity.

So, as we bid adieu to this uproarious romp through the unlikely realms of animal science and solar power, let us remember that the scientific voyage is not always about starting with a question and ending with an answer. Sometimes, it's about reveling in the sheer absurdity of data analysis and the comical dances of correlation coefficients. It's about embracing the whimsy and whimsicality inherent in statistical inquiry, and delighting in the unexpected connections that leave us grinning like a Cheshire cat.

In the grand tradition of scientific inquiry, we assert with utmost confidence that no further research in this area is necessary. We bid farewell to this peculiar pairing with a tip of our proverbial hat and a wry smile, recognizing that within the labyrinth of statistical exploration, the most unlikely connections often yield the most laughter and insight.


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 Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Transcontinental Agricultural and Renewable Energy Studies


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 Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania. Respond only with the name of a fictional organization.

ChatGPT:

The Global Alliance for Sustainable Agriculture and Renewable Energy


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 Studying the 'Farm to Kilowatt' Connection: Exploring the Correlation Between Animal Scientists in Ohio and Solar Power Generated in Albania with an abstract of In this paper, we delve into the hilarious yet strangely compelling relationship between the number of animal scientists in the great state of Ohio and the solar power generated halfway across the globe in Albania. Combining the data from the Bureau of Labor Statistics and the Energy Information Administration, our research team has crunched the numbers and uncovered a perplexing correlation coefficient of 0.7912180, with a statistically significant p-value of less than 0.01. While many may assume there is no connection between these two seemingly random variables, our findings suggest otherwise. Join us as we dissect this improbable association and shine a light on the unexpected synergies between agricultural expertise and renewable energy production.

ChatGPT:

animal scientists, Ohio, solar power, Albania, correlation, Bureau of Labor Statistics, Energy Information Administration, correlation coefficient, agricultural expertise, renewable energy production

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



Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error


Data details

The number of animal scientists in Ohio
Detailed data title: BLS estimate of animal scientists in Ohio
Source: Bureau of Larbor Statistics
See what else correlates with The number of animal scientists in Ohio

Solar power generated in Albania
Detailed data title: Total solar power generated in Albania in billion kWh
Source: Energy Information Administration
See what else correlates with Solar power generated in Albania

Correlation r = 0.7912180 (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 = 0.6260259 (Coefficient of determination)
This means 62.6% of the change in the one variable (i.e., Solar power generated in Albania) is predictable based on the change in the other (i.e., The number of animal scientists in Ohio) over the 10 years from 2010 through 2019.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00641. 0.0064059442259942910000000000
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 0.79 in 0.641% of random cases. Said differently, if you correlated 156 random variables Which I absolutely did.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.32, 0.95 ] 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.
2010201120122013201420152016201720182019
The number of animal scientists in Ohio (Animal Scientists)4040506070110806030150
Solar power generated in Albania (Billion kWh)0.00050.00080.00090.0010.0010.0010.0020.0010.0010.022




Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. 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.
  3. 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.




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([40,40,50,60,70,110,80,60,30,150,])
array_2 = np.array([0.0005,0.0008,0.0009,0.001,0.001,0.001,0.002,0.001,0.001,0.022,])
array_1_name = "The number of animal scientists in Ohio"
array_2_name = "Solar power generated in Albania"

# 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:


View another random correlation

How fun was this correlation?

Your correlation inspection deserves a standing ovation!


Correlation ID: 4223 · Black Variable ID: 17282 · Red Variable ID: 23447
about · subscribe · emailme@tylervigen.com · twitter

CC BY 4.0