Spurious correlation #3,367 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Yogurt consumption and the second variable is Nuclear power generation in Romania. The chart goes from 1996 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 Yogurt consumption and the second variable is Nuclear power generation in Romania. The chart goes from 1996 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As yogurt consumption increased, so did the level of active cultures in people's digestive systems. This led to a spike in collective brainpower, resulting in the development of innovative energy production ideas. Essentially, the yogurt-eating population was fueled by 'probiotically' enhanced brain function, leading to a 'fission' for innovation in nuclear power in Romania. It was truly a case of dairy fueling the core of creativity!

^{Show image generation prompt} Model: dalle-3
Prompt: Using the style [ High-tech ], generate an image of a bustling Romanian dairy farm. In the scene, a line of people is enjoying creamy yogurt under the shade of a tall wind turbine. Just beyond the fields, a sleek nuclear power plant stands, its cooling towers emitting gentle steam. The surplus milk is being transported from the farm to the power plant, where it fuels the nuclear reactors. The image should convey a sense of innovation and technological advancement in the utilization of dairy products for sustainable energy generation. 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: Yogurt consumption and Nuclear power generation in Romania. 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: Parallax art Cutsy graphics Cyberpunk Vaporwave High-tech
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 Yogurt consumption and Nuclear power generation in Romania, in the following situation: Because as the popularity of yogurt increased in Romania, so did the demand for milk. This led to a surplus of milk and the need for innovative solutions to avoid waste. Consequently, the surplus milk was used to power the nuclear reactors, hence increasing nuclear power generation in Romania.. Keep the description simple.
ChatGPT: In a bustling Romanian dairy farm, a line of people can be seen enjoying creamy yogurt under the shade of a tall wind turbine. Just beyond the fields, a sleek nuclear power plant stands, its cooling towers emitting gentle steam. The surplus milk is being transported from the farm to the power plant, where it fuels the nuclear reactors, serving as a symbol of the innovative solution to avoid waste and increase nuclear power generation in Romania.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ High-tech ] and depicting this scene: In a bustling Romanian dairy farm, a line of people can be seen enjoying creamy yogurt under the shade of a tall wind turbine. Just beyond the fields, a sleek nuclear power plant stands, its cooling towers emitting gentle steam. The surplus milk is being transported from the farm to the power plant, where it fuels the nuclear reactors, serving as a symbol of the innovative solution to avoid waste and increase nuclear power generation in Romania. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Using the style [ High-tech ], generate an image of a bustling Romanian dairy farm. In the scene, a line of people is enjoying creamy yogurt under the shade of a tall wind turbine. Just beyond the fields, a sleek nuclear power plant stands, its cooling towers emitting gentle steam. The surplus milk is being transported from the farm to the power plant, where it fuels the nuclear reactors. The image should convey a sense of innovation and technological advancement in the utilization of dairy products for sustainable energy generation.

*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 (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 Yogurt consumption caused Nuclear power generation in Romania to increase. Include one good pun.

AI academic paper

(Because p < 0.01)

Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania

Journal of Fermented Sciences

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 Yogurt consumption and Nuclear power generation in Romania. 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 cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
"Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania"

[[ABSTRACT]]
There has been skepticism and skepticism and skepticism about the potential link between the seemingly unrelated realms of yogurt consumption and nuclear power generation, particularly in the context of Romania. This study delves into the creamy correlation between these two disparate elements, utilizing data from the USDA and the Energy Information Administration. Our findings reveal a surprisingly robust correlation coefficient of 0.9088994 and a p-value of less than 0.01 for the period spanning 1996 to 2021. The results suggest that there may indeed be an intriguing symbiotic relationship between yogurt consumption and nuclear power generation in Romania, challenging traditional assumptions about unrelatedness. This research sheds light on the unexpected interplay between seemingly unrelated factors and underscores the imperative of examining unconventional connections in the pursuit of scientific understanding.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The phrase "stranger things have happened" takes on a whole new meaning in light of the tantalizing link between yogurt consumption and nuclear power generation in Romania. At first glance, one may be forgiven for thinking that these two subjects are about as related as cheese and motorcycles. However, as the saying goes, "the proof of the pudding is in the eating" – or in this case, in the seismic readings from nuclear reactors.
While some may roll their eyes at the idea of probing such an unlikely pairing, it is precisely this fascination with the unexpected that drives scientific inquiry. Indeed, as researchers, it is our duty to explore the uncharted territories of knowledge, even if that means venturing into the labyrinthine world of dairy products and atomic energy.
By dissecting these seemingly disconnected phenomena, we hope to enrich our understanding of both the sociocultural dynamics surrounding yogurt consumption and the complex mechanisms underpinning nuclear power generation. As we embark on this improbable journey, we invite you to join us in unraveling the enigmatic interplay between creamy cultures and nuclear fission. After all, as the Romans might have said, "in vino veritas, in lacte potentia" – in yogurt, there might just be power.
Let us delve into this curious conundrum, armed with data and a healthy dollop of skepticism. Let the pursuit of knowledge take us to unexpected realms, where the curds of curiosity meet the nuclear nucleus.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The current body of research on the connection between yogurt consumption and nuclear power generation in Romania is characterized by a dearth of empirical evidence. Despite the scarcity of studies on this peculiar nexus, several noteworthy investigations have contributed to the discourse on the subject matter. Smith et al. (2015) examined the potential synergies between fermented dairy products and energy production, highlighting the need for interdisciplinary exploration. In a similar vein, Doe and Jones (2018) proposed a theoretical framework for understanding the interplay between culinary habits and electricity generation in Eastern Europe. However, the empirical validation of these conceptual constructs remains elusive, prompting the present inquiry into this enigmatic relationship.

Turning to related literature, "The Yogurt Cookbook: Recipes from the Culinary Cosmos" by Chef Gourmand (2017) offers valuable insights into the diverse manifestations of yogurt in culinary traditions, potentially informing the cultural context of yogurt consumption in Romania. Furthermore, "Nuclear Fission: Unleashing the Power Within" by Dr. Atom Splitter (2019) provides a comprehensive overview of nuclear power generation, laying the groundwork for a nuanced understanding of the technical aspects underpinning this form of energy production.

In the realm of fiction, "War and Yogurt" by Leo Toltsoy (1869) presents an allegorical narrative that intricately intertwines the political tumult of 19th-century Russia with the symbolic significance of yogurt consumption. Similarly, "The Nuclear Yogurt Conspiracy" by Agatha Crispy (1976) weaves a gripping tale of espionage and radioactive dairy products, captivating readers with its whimsical blend of intrigue and probiotics.

Additionally, anecdotal evidence from social media platforms has contributed to the discourse surrounding yogurt consumption and nuclear power generation in Romania. A tweet by @YogurtEnthusiast states, "Who knew that the key to sustainable energy lies in a cup of yogurt? #YogurtPower" (2018), sparking curiosity and speculation about the potential symbiosis between these seemingly disparate domains.

In light of the multifaceted literature - both scholarly and fictional - as well as the intriguing insights offered by online discourse, the present study seeks to elucidate the intricate interplay between yogurt consumption and nuclear power generation in Romania.

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 Yogurt consumption and Nuclear power generation in Romania. Make lots of jokes, goofy observations, and puns.

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 1996 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]]
"Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania"

[[ABSTRACT]]
There has been skepticism and skepticism and skepticism about the potential link between the seemingly unrelated realms of yogurt consumption and nuclear power generation, particularly in the context of Romania. This study delves into the creamy correlation between these two disparate elements, utilizing data from the USDA and the Energy Information Administration. Our findings reveal a surprisingly robust correlation coefficient of 0.9088994 and a p-value of less than 0.01 for the period spanning 1996 to 2021. The results suggest that there may indeed be an intriguing symbiotic relationship between yogurt consumption and nuclear power generation in Romania, challenging traditional assumptions about unrelatedness. This research sheds light on the unexpected interplay between seemingly unrelated factors and underscores the imperative of examining unconventional connections in the pursuit of scientific understanding.

[[INTRODUCTION]]
The phrase "stranger things have happened" takes on a whole new meaning in light of the tantalizing link between yogurt consumption and nuclear power generation in Romania. At first glance, one may be forgiven for thinking that these two subjects are about as related as cheese and motorcycles. However, as the saying goes, "the proof of the pudding is in the eating" – or in this case, in the seismic readings from nuclear reactors.
While some may roll their eyes at the idea of probing such an unlikely pairing, it is precisely this fascination with the unexpected that drives scientific inquiry. Indeed, as researchers, it is our duty to explore the uncharted territories of knowledge, even if that means venturing into the labyrinthine world of dairy products and atomic energy.
By dissecting these seemingly disconnected phenomena, we hope to enrich our understanding of both the sociocultural dynamics surrounding yogurt consumption and the complex mechanisms underpinning nuclear power generation. As we embark on this improbable journey, we invite you to join us in unraveling the enigmatic interplay between creamy cultures and nuclear fission. After all, as the Romans might have said, "in vino veritas, in lacte potentia" – in yogurt, there might just be power.
Let us delve into this curious conundrum, armed with data and a healthy dollop of skepticism. Let the pursuit of knowledge take us to unexpected realms, where the curds of curiosity meet the nuclear nucleus.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unravel the mysterious connection between yogurt consumption and nuclear power generation in Romania, a multifaceted approach was employed, resembling the complexity of untangling a ball of yarn after a kitten's playtime. The research team scoured the vast expanse of the internet, venturing into the digital wilderness to retrieve relevant data sources from the United States Department of Agriculture (USDA) and the Energy Information Administration (EIA). While some may raise an eyebrow at the choice of these specific sources, it is crucial to remember that in the virtual jungle of information, one must tread carefully to avoid falling victim to the perils of unreliable data.

The data spanned a substantial period from 1996 to 2021, capturing the tumultuous changes in both yogurt consumption patterns and nuclear power generation in the Romanian landscape. After meticulously gathering the datasets, the research team engaged in a painstaking process of data cleansing, akin to the meticulous extraction of pomegranate seeds – separating the juicy insights from extraneous pulp. This involved identifying and rectifying any inconsistencies, outliers, and missing values, ensuring that the empirical foundation of the study stood firm, much like a well-constructed scaffolding supporting a scientific edifice.

Following the data cleansing process, a robust statistical analysis was undertaken to unveil the potential correlation between yogurt consumption and nuclear power generation. The correlation coefficient was computed with mathematical precision, akin to balancing a delicate equation on the edge of a Bunsen burner. The significance of the correlation was assessed through hypothesis testing, subjecting the data to the rigorous scrutiny demanded by the scientific method – akin to placing a hypothesis under the proverbial microscope to scrutinize its microbial mysteries.

The multifaceted nature of the data was accounted for through sophisticated modeling techniques, designed to capture the intricate dance of variables encompassing yogurt consumption and nuclear power generation. This involved the deft maneuvering of statistical software, orchestrating a symphony of data points to compose a harmonious melody that resonated with scientific significance. Each variable was scrutinized, poked, and prodded, much like a cheese connoisseur assessing the nuances of a delicately aged Roquefort.

In conclusion, the research methodology applied in this study embraced the complexity of the subject matter, employing a blend of rigorous data collection, thorough cleansing, and sophisticated statistical analysis. The journey from data acquisition to analysis resembled navigating a maze of flavors and fissions, ultimately culminating in the articulation of a robust correlation between yogurt consumption and nuclear power generation in Romania.

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 Yogurt consumption and Nuclear power generation in Romania. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania"

[[ABSTRACT]]
There has been skepticism and skepticism and skepticism about the potential link between the seemingly unrelated realms of yogurt consumption and nuclear power generation, particularly in the context of Romania. This study delves into the creamy correlation between these two disparate elements, utilizing data from the USDA and the Energy Information Administration. Our findings reveal a surprisingly robust correlation coefficient of 0.9088994 and a p-value of less than 0.01 for the period spanning 1996 to 2021. The results suggest that there may indeed be an intriguing symbiotic relationship between yogurt consumption and nuclear power generation in Romania, challenging traditional assumptions about unrelatedness. This research sheds light on the unexpected interplay between seemingly unrelated factors and underscores the imperative of examining unconventional connections in the pursuit of scientific understanding.

[[LITERATURE REVIEW]]
The current body of research on the connection between yogurt consumption and nuclear power generation in Romania is characterized by a dearth of empirical evidence. Despite the scarcity of studies on this peculiar nexus, several noteworthy investigations have contributed to the discourse on the subject matter. Smith et al. (2015) examined the potential synergies between fermented dairy products and energy production, highlighting the need for interdisciplinary exploration. In a similar vein, Doe and Jones (2018) proposed a theoretical framework for understanding the interplay between culinary habits and electricity generation in Eastern Europe. However, the empirical validation of these conceptual constructs remains elusive, prompting the present inquiry into this enigmatic relationship.
Turning to related literature, "The Yogurt Cookbook: Recipes from the Culinary Cosmos" by Chef Gourmand (2017) offers valuable insights into the diverse manifestations of yogurt in culinary traditions, potentially informing the cultural context of yogurt consumption in Romania. Furthermore, "Nuclear Fission: Unleashing the Power Within" by Dr. Atom Splitter (2019) provides a comprehensive overview of nuclear power generation, laying the groundwork for a nuanced understanding of the technical aspects underpinning this form of energy production.
In the realm of fiction, "War and Yogurt" by Leo Toltsoy (1869) presents an allegorical narrative that intricately intertwines the political tumult of 19th-century Russia with the symbolic significance of yogurt consumption. Similarly, "The Nuclear Yogurt Conspiracy" by Agatha Crispy (1976) weaves a gripping tale of espionage and radioactive dairy products, captivating readers with its whimsical blend of intrigue and probiotics.
Additionally, anecdotal evidence from social media platforms has contributed to the discourse surrounding yogurt consumption and nuclear power generation in Romania. A tweet by @YogurtEnthusiast states, "Who knew that the key to sustainable energy lies in a cup of yogurt? #YogurtPower" (2018), sparking curiosity and speculation about the potential symbiosis between these seemingly disparate domains.
In light of the multifaceted literature - both scholarly and fictional - as well as the intriguing insights offered by online discourse, the present study seeks to elucidate the intricate interplay between yogurt consumption and nuclear power generation in Romania.

[[RESULTS]]
The correlation analysis conducted between yogurt consumption and nuclear power generation in Romania yielded intriguing findings. The correlation coefficient of 0.9088994 indicates a strong positive relationship between the two variables. This robust correlation was further underscored by an r-squared value of 0.8260981, signifying that approximately 82.6% of the variation in nuclear power generation can be explained by yogurt consumption. With a p-value of less than 0.01, the evidence supports the rejection of the null hypothesis, indicating a statistically significant relationship between these seemingly unrelated domains.
The scatterplot (Fig. 1) visually encapsulates the compelling connection between yogurt consumption and nuclear power generation. The graph showcases a remarkable upward trend, demonstrating how as yogurt consumption increased, nuclear power generation also experienced a corresponding rise. This visual representation further accentuates the strength of the correlation, as the data points align in a strikingly coherent manner. One might say this correlation is "wheyt" beyond our expectations!
These findings challenge preconceived notions and beckon us to embrace the unanticipated dynamics at play in the realms of dairy delights and atomic energy. The unexpected synchronization between yogurt and nuclear power in Romania paints a vivid picture of the multifaceted interdependencies that underpin societal and technological phenomena, reminding us that the world of data analysis is both complex and delightfully surprising.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study provide compelling support for the existence of a robust correlation between yogurt consumption and nuclear power generation in Romania. The strong positive relationship, as indicated by the correlation coefficient of 0.9088994 and the substantial r-squared value of 0.8260981, aligns with prior speculative works that hinted at the potential interconnectedness of these seemingly incongruous domains.

Drawing on the literary tapestry woven by Chef Gourmand, Dr. Atom Splitter, Leo Toltsoy, and Agatha Crispy, it becomes apparent that the cultural, symbolic, and even fictional representations of yogurt and nuclear power may have inadvertently hinted at a deeper truth. The whimsical tales of espionage and the culinary cosmos, when viewed through the lens of our empirical findings, take on new shades of meaning. It seems that the yogurt conspiracy may not be confined to the realm of fiction after all, and perhaps Chef Gourmand's "culinary cosmos" transcends the boundaries of gastronomic indulgence to encompass energy dynamics as well.

While it may be tempting to dismiss such observations as mere flights of fancy, the statistical significance of our results compels us to cast a broader net of inquiry. The evidence challenges us to recalibrate our understanding of the complex interplay between dietary habits and energy infrastructure, emphasizing the need for interdisciplinary collaboration to unravel the enigma of yogurt power.

In light of these findings, it becomes evident that Twitter's @YogurtEnthusiast unwittingly stumbled upon a prescient truth. The key to sustainable energy, it seems, may indeed lie in the creamy contents of a humble cup of yogurt. The age-old adage of "you are what you eat" takes on a new resonance in the context of nuclear power, beckoning us to reconsider the potential symbiotic relationship between human dietary choices and technological advancements.

In essence, our study not only illuminates the unexpected union of yogurt and nuclear power but also underscores the imperative of embracing unconventional connections in scientific inquiry. As we await further validation and exploration of this tantalizing correlation, let us remain open to the delightful surprises that emerge from the depths of data analysis and the curious intersections of human ingenuity.

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 Yogurt consumption and Nuclear power generation in Romania. Make lots of jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania"

[[ABSTRACT]]
There has been skepticism and skepticism and skepticism about the potential link between the seemingly unrelated realms of yogurt consumption and nuclear power generation, particularly in the context of Romania. This study delves into the creamy correlation between these two disparate elements, utilizing data from the USDA and the Energy Information Administration. Our findings reveal a surprisingly robust correlation coefficient of 0.9088994 and a p-value of less than 0.01 for the period spanning 1996 to 2021. The results suggest that there may indeed be an intriguing symbiotic relationship between yogurt consumption and nuclear power generation in Romania, challenging traditional assumptions about unrelatedness. This research sheds light on the unexpected interplay between seemingly unrelated factors and underscores the imperative of examining unconventional connections in the pursuit of scientific understanding.

[[INTRDUCTION]]
The phrase "stranger things have happened" takes on a whole new meaning in light of the tantalizing link between yogurt consumption and nuclear power generation in Romania. At first glance, one may be forgiven for thinking that these two subjects are about as related as cheese and motorcycles. However, as the saying goes, "the proof of the pudding is in the eating" – or in this case, in the seismic readings from nuclear reactors.
While some may roll their eyes at the idea of probing such an unlikely pairing, it is precisely this fascination with the unexpected that drives scientific inquiry. Indeed, as researchers, it is our duty to explore the uncharted territories of knowledge, even if that means venturing into the labyrinthine world of dairy products and atomic energy.
By dissecting these seemingly disconnected phenomena, we hope to enrich our understanding of both the sociocultural dynamics surrounding yogurt consumption and the complex mechanisms underpinning nuclear power generation. As we embark on this improbable journey, we invite you to join us in unraveling the enigmatic interplay between creamy cultures and nuclear fission. After all, as the Romans might have said, "in vino veritas, in lacte potentia" – in yogurt, there might just be power.
Let us delve into this curious conundrum, armed with data and a healthy dollop of skepticism. Let the pursuit of knowledge take us to unexpected realms, where the curds of curiosity meet the nuclear nucleus.

[[RESULTS]]
The correlation analysis conducted between yogurt consumption and nuclear power generation in Romania yielded intriguing findings. The correlation coefficient of 0.9088994 indicates a strong positive relationship between the two variables. This robust correlation was further underscored by an r-squared value of 0.8260981, signifying that approximately 82.6% of the variation in nuclear power generation can be explained by yogurt consumption. With a p-value of less than 0.01, the evidence supports the rejection of the null hypothesis, indicating a statistically significant relationship between these seemingly unrelated domains.
The scatterplot (Fig. 1) visually encapsulates the compelling connection between yogurt consumption and nuclear power generation. The graph showcases a remarkable upward trend, demonstrating how as yogurt consumption increased, nuclear power generation also experienced a corresponding rise. This visual representation further accentuates the strength of the correlation, as the data points align in a strikingly coherent manner. One might say this correlation is "wheyt" beyond our expectations!
These findings challenge preconceived notions and beckon us to embrace the unanticipated dynamics at play in the realms of dairy delights and atomic energy. The unexpected synchronization between yogurt and nuclear power in Romania paints a vivid picture of the multifaceted interdependencies that underpin societal and technological phenomena, reminding us that the world of data analysis is both complex and delightfully surprising.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our exploration of the intricate interplay between yogurt consumption and nuclear power generation in Romania has yielded some truly tantalizing findings. Who would have thought that the creamy goodness of yogurt and the nuclear reactors would have anything in common? It seems that in the enigmatic world of data analysis, even the most unlikely bedfellows can come together in a statistically significant correlation.

As we delve into the implications of our findings, it becomes evident that the phrase "you are what you eat" takes on a whole new meaning in the context of nuclear energy. It appears that the citizens of Romania, by partaking in their daily dose of yogurt, might be unknowingly fueling not only their bodies but also the nuclear power industry. This symbiotic relationship between dairy consumption and atomic energy is enough to make anyone curdle with excitement!

Our research not only challenges traditional assumptions but also underscores the imperative of examining unconventional connections in the pursuit of scientific understanding. Who knows what other unexpected links we might uncover if we continue to sift through seemingly unrelated data sets? The possibilities are as endless as a never-ending tub of yogurt.

Therefore, based on the robust correlation coefficient and statistically significant relationship we have uncovered, we can confidently assert that no more research is needed in this area. The yogurt-nuclear power nexus has been thoroughly explored, and the results speak for themselves – or perhaps, gently stir themselves into a creamy 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 Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Fermented Sciences

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 Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania. Respond only with the name of a fictional organization.

ChatGPT:

International Consortium for Dairy Energy Research

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 Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania with an abstract of There has been skepticism and skepticism and skepticism about the potential link between the seemingly unrelated realms of yogurt consumption and nuclear power generation, particularly in the context of Romania. This study delves into the creamy correlation between these two disparate elements, utilizing data from the USDA and the Energy Information Administration. Our findings reveal a surprisingly robust correlation coefficient of 0.9088994 and a p-value of less than 0.01 for the period spanning 1996 to 2021. The results suggest that there may indeed be an intriguing symbiotic relationship between yogurt consumption and nuclear power generation in Romania, challenging traditional assumptions about unrelatedness. This research sheds light on the unexpected interplay between seemingly unrelated factors and underscores the imperative of examining unconventional connections in the pursuit of scientific understanding.

ChatGPT:

yogurt consumption, nuclear power generation, Romania, correlation, USDA, Energy Information Administration, symbiotic relationship, unconventional connections, scientific understanding

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

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Data details

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

Nuclear power generation in Romania
Detailed data title: Total nuclear power generation in Romania in billion kWh
Source: Energy Information Administration
See what else correlates with Nuclear power generation in Romania

Correlation r = 0.9088994 (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 = 0.8260981 (Coefficient of determination)
This means 82.6% of the change in the one variable (i.e., Nuclear power generation in Romania) is predictable based on the change in the other (i.e., Yogurt consumption) over the 26 years from 1996 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.3E-10.^Show 0.0000000001345842306943741700
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 0.91 in 1.3E-8% of random cases. Said differently, if you correlated 7,430,291,014 random variables^Note You don't actually need 7 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 25 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 25 because we have two variables measured over a period of 26 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.

[ 0.8, 0.96 ] 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.

	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Yogurt consumption (Pounds per person)	5.9	5.7	5.9	6.1	6.5	7	8	8.6	9.2	10.3	11.1	11.6	11.7	12.5	13.4	13.6	14	14.9	14.9	14.4	13.7	13.7	13.6	13.4	13.6	14.3
Nuclear power generation in Romania (Billion kWh)	0.91	5.13022	4.9	4.81	5.225	5.037	5.11	4.54	5.271	5.113	5.178	7.07854	10.334	10.82	10.705	10.811	10.564	10.6958	10.754	10.698	10.366	10.5579	10.4417	10.3454	10.5567	10.3767

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.

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([5.9,5.7,5.9,6.1,6.5,7,8,8.6,9.2,10.3,11.1,11.6,11.7,12.5,13.4,13.6,14,14.9,14.9,14.4,13.7,13.7,13.6,13.4,13.6,14.3,])
array_2 = np.array([0.91,5.13022,4.9,4.81,5.225,5.037,5.11,4.54,5.271,5.113,5.178,7.07854,10.334,10.82,10.705,10.811,10.564,10.6958,10.754,10.698,10.366,10.5579,10.4417,10.3454,10.5567,10.3767,])
array_1_name = "Yogurt consumption"
array_2_name = "Nuclear power generation in Romania"

# 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 Yogurt consumption
Line chart for only Nuclear power generation in Romania
AI-generated correlation image
The spurious research paper: Yogurt Power: Exploring the Cultured Connection Between Yogurt Consumption and Nuclear Power Generation in Romania

View another random correlation

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Correlation ID: 3367 · Black Variable ID: 568 · Red Variable ID: 23914


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