Download png, svg
AI explanation
As the distance between Uranus and the Sun increases, the gravitational pull on Earth's tectonic plates weakens. This leads to subtle shifts in the Earth's crust, creating fissures that release long-trapped pockets of methane gas. This coincides with a spike in demand for natural gas in New Zealand, thereby driving up the consumption of fossil fuels.
Model: dalle-3
Prompt: Generate an image showing a picturesque New Zealand countryside with quaint houses and thick plumes of smoke rising from chimneys against a backdrop of a subtly shifting Uranus in the distant solar system. The scene should represent the determination of the people of New Zealand to combat the colder weather by embracing the increased use of fossil fuels for warmth, all while showcasing the subtle shifts in the cosmic realm. 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 distance between Uranus and the Sun and Fossil fuel use in New Zealand. 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 TIME magazine cover image Steampunk Surrealism A TIME magazine cover image Minimalism
ChatGPT: A TIME magazine cover image
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both The distance between Uranus and the Sun and Fossil fuel use in New Zealand, in the following situation: Because as the distance between Uranus and the Sun increased, it caused a shift in the gravitational pull on Earth, leading to a slight tilt in the planet's axis. This tilt resulted in a change in the climate of New Zealand, making the country colder and increasing the demand for fossil fuels for heating. And when it comes to meeting energy needs, people in New Zealand are not willing to let things go south, no matter how far out in the solar system the cause may be.. Keep the description simple.
ChatGPT: In the chilly countryside of New Zealand, thick plumes of smoke rise from chimneys as residents burn more fossil fuels to keep warm. Meanwhile, in the distant reaches of the solar system, Uranus slowly drifts further from the Sun, causing a subtle shift in Earth's axis. Despite the solar system's workings, the determined people of New Zealand bundle up and embrace the need for increased fossil fuel use to combat the colder weather.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A TIME magazine cover image ] and depicting this scene: In the chilly countryside of New Zealand, thick plumes of smoke rise from chimneys as residents burn more fossil fuels to keep warm. Meanwhile, in the distant reaches of the solar system, Uranus slowly drifts further from the Sun, causing a subtle shift in Earth's axis. Despite the solar system's workings, the determined people of New Zealand bundle up and embrace the need for increased fossil fuel use to combat the colder weather. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image showing a picturesque New Zealand countryside with quaint houses and thick plumes of smoke rising from chimneys against a backdrop of a subtly shifting Uranus in the distant solar system. The scene should represent the determination of the people of New Zealand to combat the colder weather by embracing the increased use of fossil fuels for warmth, all while showcasing the subtle shifts in the cosmic realm.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in The distance between Uranus and the Sun caused Fossil fuel use in New Zealand to increase.\Make it sound serious until the end.
AI academic paper
 |
Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand The Journal of Cosmic Conundrums Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between The distance between Uranus and the Sun and Fossil fuel use in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title an alliteration.
Your research team used data from Caclculated using Astropy and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.8209711 and p < 0.01 for 1980 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand
[[ABSTRACT]]
This paper delves into the seemingly disparate realms of planetary astronomy and terrestrial energy economics to uncover the surprising interplay between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand. Leveraging data from Astropy and the Energy Information Administration, our research team unearthed a correlation coefficient of 0.8209711 and a p-value less than 0.01 for the time period spanning 1980 to 2021. Our findings challenge conventional wisdom and perhaps even planetary order, as we invite readers to ponder whether Uranus holds a gravitational, or perhaps galactic, sway over New Zealand's fossil fuel preferences. While our results may seem out of this world, they offer a unique lens through which to view the celestial and the terrestrial in a unified, albeit peculiar, light.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between The distance between Uranus and the Sun and Fossil fuel use in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand
[[ABSTRACT]]
This paper delves into the seemingly disparate realms of planetary astronomy and terrestrial energy economics to uncover the surprising interplay between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand. Leveraging data from Astropy and the Energy Information Administration, our research team unearthed a correlation coefficient of 0.8209711 and a p-value less than 0.01 for the time period spanning 1980 to 2021. Our findings challenge conventional wisdom and perhaps even planetary order, as we invite readers to ponder whether Uranus holds a gravitational, or perhaps galactic, sway over New Zealand's fossil fuel preferences. While our results may seem out of this world, they offer a unique lens through which to view the celestial and the terrestrial in a unified, albeit peculiar, light.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The astute correlation between celestial mechanics and earthly energy consumption has long captivated researchers across disparate disciplines. In this study, we embark on a peculiar journey to investigate the hitherto unexplored relationship between the distance from Uranus to the Sun and fossil fuel use in New Zealand. It is not simply a matter of ascribing causality to cosmic coincidences, but rather, to delve into the underlying mechanisms that may align the vaults of Uranus with the pipelines of New Zealand's energy infrastructure.
As we delve into this cosmic conundrum, it is prudent to acknowledge the inherent skepticism that may accompany such a seemingly far-fetched hypothesis. It's understandable to raise an eyebrow, or perhaps a telescope, at the notion that distant Uranus holds any sway over terrestrial energy consumption patterns. Yet, as we unfold these astronomical accounts side by side with the earthly consumption data, a peculiar pattern begins to emerge, like a constellation revealing itself against the dark canvas of the night sky.
The premise of this inquiry was not born out of some fanciful flight of imagination, nor from the depths of a cosmic daydream. Rather, it emerged from a thoughtful perusal of data that led us to wonder: could there be an unseen force, an unappreciated influence, or even an unknown gravitational pull linking the orbits of Uranus and the furnaces of New Zealand's energy usage? The statistical rigor employed in our investigation endeavors to tease out any latent correlations and ascertain whether they are indeed statistically significant, in the true spirit of empirical inquiry.
But as we delve into these cosmic and terrestrial spheres, we are reminded that our search for insight into this interplanetary partnership is not just about uncovering statistical patterns or intriguing correlations. It's about opening ourselves up to the possibility that the universe operates on scales and in ways that elude our current understanding, and that perhaps, just perhaps, the celestial harmonies of Uranus and the mundane machinations of New Zealand's energy economy are not as distant as they might seem at first glance.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between The distance between Uranus and the Sun and Fossil fuel use in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.
Here is the title and abstract of the paper:
[[TITLE]]
Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand
[[ABSTRACT]]
This paper delves into the seemingly disparate realms of planetary astronomy and terrestrial energy economics to uncover the surprising interplay between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand. Leveraging data from Astropy and the Energy Information Administration, our research team unearthed a correlation coefficient of 0.8209711 and a p-value less than 0.01 for the time period spanning 1980 to 2021. Our findings challenge conventional wisdom and perhaps even planetary order, as we invite readers to ponder whether Uranus holds a gravitational, or perhaps galactic, sway over New Zealand's fossil fuel preferences. While our results may seem out of this world, they offer a unique lens through which to view the celestial and the terrestrial in a unified, albeit peculiar, light.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The astute correlation between celestial mechanics and earthly energy consumption has long captivated researchers across disparate disciplines. In this study, we embark on a peculiar journey to investigate the hitherto unexplored relationship between the distance from Uranus to the Sun and fossil fuel use in New Zealand. It is not simply a matter of ascribing causality to cosmic coincidences, but rather, to delve into the underlying mechanisms that may align the vaults of Uranus with the pipelines of New Zealand's energy infrastructure.
As we delve into this cosmic conundrum, it is prudent to acknowledge the inherent skepticism that may accompany such a seemingly far-fetched hypothesis. It's understandable to raise an eyebrow, or perhaps a telescope, at the notion that distant Uranus holds any sway over terrestrial energy consumption patterns. Yet, as we unfold these astronomical accounts side by side with the earthly consumption data, a peculiar pattern begins to emerge, like a constellation revealing itself against the dark canvas of the night sky.
The premise of this inquiry was not born out of some fanciful flight of imagination, nor from the depths of a cosmic daydream. Rather, it emerged from a thoughtful perusal of data that led us to wonder: could there be an unseen force, an unappreciated influence, or even an unknown gravitational pull linking the orbits of Uranus and the furnaces of New Zealand's energy usage? The statistical rigor employed in our investigation endeavors to tease out any latent correlations and ascertain whether they are indeed statistically significant, in the true spirit of empirical inquiry.
But as we delve into these cosmic and terrestrial spheres, we are reminded that our search for insight into this interplanetary partnership is not just about uncovering statistical patterns or intriguing correlations. It's about opening ourselves up to the possibility that the universe operates on scales and in ways that elude our current understanding, and that perhaps, just perhaps, the celestial harmonies of Uranus and the mundane machinations of New Zealand's energy economy are not as distant as they might seem at first glance.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "The Celestial Mechanics of Uranus," Smith et al. elucidate the intricate orbital dynamics of the seventh planet from the Sun, shedding light on its unique axial tilt and peculiar rotational characteristics. Their rigorous analysis lays the foundation for our exploration into the potential link between Uranus' astronomical attributes and earthly energy consumption patterns. Furthermore, Doe's seminal work "Planetary Influence on Terrestrial Phenomena" offers insights into the historical precedents of planetary influences on terrestrial events, prompting us to consider the possibility of a celestial hand, or perhaps a celestial glove, in shaping human activities.
Turning our attention to the economic sphere, Jones et al. analyze the historical trajectory of fossil fuel use in New Zealand in "Economic Drivers of Energy Consumption." Their comprehensive study provides a nuanced understanding of the complex interplay of economic, social, and environmental factors that shape energy consumption patterns in the island nation. The juxtaposition of these studies presents a tantalizing prospect: the convergence of planetary motions and energy economics in an unexpected pas de deux.
Delving into the realm of non-fiction literature, "The Planets" by Dava Sobel recounts the captivating narratives of the solar system's celestial denizens, offering a panorama of Uranus' enigmatic allure. Similarly, "Energy Transitions: History, Requirements, Prospects" by Vaclav Smil provides a comprehensive overview of the historical evolution of energy systems, prompting us to consider the intersection of planetary distances and energy transitions in a new light.
On the fictional front, the dystopian visions of energy scarcity in Margaret Atwood's "Oryx and Crake" and the cosmic yearnings in Douglas Adams' "The Hitchhiker's Guide to the Galaxy" offer allegorical reflections on the precarious balance between planetary dynamics and human energy needs, albeit in a tongue-in-cheek manner.
Moreover, a cursory perusal of social media reveals a tweet by @SpaceEnthusiast99 positing a speculative link between Uranus' celestial choreography and New Zealand's carbon emissions, provoking a flurry of replies ranging from astute observations to whimsical musings. While social media may serve as a breeding ground for outlandish theories, it nevertheless underscores the pervasiveness of discussions around celestial influences on earthly phenomena.
These heterogeneous sources collectively weave a tapestry of knowledge that beckons us to contemplate the improbable interplay of Uranus' celestial dance and New Zealand's energy landscape, guiding our inquiry into uncharted cosmic and economic territories.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between The distance between Uranus and the Sun and Fossil fuel use in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from Caclculated using Astropy and Energy Information Administration . You used data from 1980 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]]
Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand
[[ABSTRACT]]
This paper delves into the seemingly disparate realms of planetary astronomy and terrestrial energy economics to uncover the surprising interplay between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand. Leveraging data from Astropy and the Energy Information Administration, our research team unearthed a correlation coefficient of 0.8209711 and a p-value less than 0.01 for the time period spanning 1980 to 2021. Our findings challenge conventional wisdom and perhaps even planetary order, as we invite readers to ponder whether Uranus holds a gravitational, or perhaps galactic, sway over New Zealand's fossil fuel preferences. While our results may seem out of this world, they offer a unique lens through which to view the celestial and the terrestrial in a unified, albeit peculiar, light.
[[INTRODUCTION]]
The astute correlation between celestial mechanics and earthly energy consumption has long captivated researchers across disparate disciplines. In this study, we embark on a peculiar journey to investigate the hitherto unexplored relationship between the distance from Uranus to the Sun and fossil fuel use in New Zealand. It is not simply a matter of ascribing causality to cosmic coincidences, but rather, to delve into the underlying mechanisms that may align the vaults of Uranus with the pipelines of New Zealand's energy infrastructure.
As we delve into this cosmic conundrum, it is prudent to acknowledge the inherent skepticism that may accompany such a seemingly far-fetched hypothesis. It's understandable to raise an eyebrow, or perhaps a telescope, at the notion that distant Uranus holds any sway over terrestrial energy consumption patterns. Yet, as we unfold these astronomical accounts side by side with the earthly consumption data, a peculiar pattern begins to emerge, like a constellation revealing itself against the dark canvas of the night sky.
The premise of this inquiry was not born out of some fanciful flight of imagination, nor from the depths of a cosmic daydream. Rather, it emerged from a thoughtful perusal of data that led us to wonder: could there be an unseen force, an unappreciated influence, or even an unknown gravitational pull linking the orbits of Uranus and the furnaces of New Zealand's energy usage? The statistical rigor employed in our investigation endeavors to tease out any latent correlations and ascertain whether they are indeed statistically significant, in the true spirit of empirical inquiry.
But as we delve into these cosmic and terrestrial spheres, we are reminded that our search for insight into this interplanetary partnership is not just about uncovering statistical patterns or intriguing correlations. It's about opening ourselves up to the possibility that the universe operates on scales and in ways that elude our current understanding, and that perhaps, just perhaps, the celestial harmonies of Uranus and the mundane machinations of New Zealand's energy economy are not as distant as they might seem at first glance.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
In order to elucidate the curious connection between the distance from Uranus to the Sun and fossil fuel use in New Zealand, a comprehensive and astutely devised methodology was employed. Data collection commenced in the hallowed halls of the internet, where vast repositories of information were sifted through with the precision of an astronomer searching for new celestial bodies. While some might consider the use of online data sources to be a mere shot in the dark, or perhaps a journey to the outer reaches of the information cosmos, it ultimately proved to be a fruitful endeavor.
The primary sources leveraged for this investigation were the illustrious Astropy, revered for its celestial demarcation capabilities, and the venerable Energy Information Administration, known for shedding light on the terrestrial terrain of energy consumption patterns. The data spanned a temporal tapestry extending from 1980 to 2021, capturing an epoch of both celestial and earthly vicissitudes. The calculated Uranus-Sun distances, juxtaposed with the fossil fuel usage metrics of New Zealand, set the stage for a statistical ballet of orbital and economic data points.
Employing a methodological moonwalk through the annals of research, the correlation between planetary distance and energy usage was parsed, prodded, and pondered with the rigor befitting such a cosmically inclined inquiry. The data underwent meticulous scrutiny, akin to the careful sifting through of minerals in search of hidden gems, to reveal any underlying patterns that might hint at a gravitational tango between Uranus and New Zealand's energy consumption trends.
In delving into this peculiar pairing of planetary perturbations and terrestrial tonnages, statistical analyses were employed to ascertain the existence and strength of any discernible association. The time-honored Pearson correlation coefficient served as our compass through the expansive cosmos of data points, while the formidable p-value stood as a celestial gatekeeper of statistical significance.
Furthermore, to validate the robustness of our findings and to ensure that our discerned correlations were not merely artifacts of chance, a series of sensitivity analyses were conducted. These analyses probed the data from various angles and distances, like satellites orbiting a celestial body, to confirm that the unearthed correlations were not mere phantoms in the astral mist, but rather genuine celestial and terrestrial harmonies.
As the data were wrangled, analyzed, and weaved into a statistical tapestry, the spirit of empirical inquiry reigned supreme, guiding this endeavor to extract untold truths from the depths of celestial and terrestrial data realms. It's clear that in seeking to understand the interplay between Uranus' celestial wanderings and New Zealand's terrestrial energy dance, this study danced to the rhythms of both cosmic curiosity and statistical precision. The uncharted territories of the data cosmos revealed their mysteries, yielding insights that might just rewrite the cosmic energy economics playbook as we know it.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between The distance between Uranus and the Sun and Fossil fuel use in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from Caclculated using Astropy and Energy Information Administration .
For the time period 1980 to 2021, you found a correlation 0.8209711, r-squared of 0.6739936, 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]]
Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand
[[ABSTRACT]]
This paper delves into the seemingly disparate realms of planetary astronomy and terrestrial energy economics to uncover the surprising interplay between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand. Leveraging data from Astropy and the Energy Information Administration, our research team unearthed a correlation coefficient of 0.8209711 and a p-value less than 0.01 for the time period spanning 1980 to 2021. Our findings challenge conventional wisdom and perhaps even planetary order, as we invite readers to ponder whether Uranus holds a gravitational, or perhaps galactic, sway over New Zealand's fossil fuel preferences. While our results may seem out of this world, they offer a unique lens through which to view the celestial and the terrestrial in a unified, albeit peculiar, light.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The astute correlation between celestial mechanics and earthly energy consumption has long captivated researchers across disparate disciplines. In this study, we embark on a peculiar journey to investigate the hitherto unexplored relationship between the distance from Uranus to the Sun and fossil fuel use in New Zealand. It is not simply a matter of ascribing causality to cosmic coincidences, but rather, to delve into the underlying mechanisms that may align the vaults of Uranus with the pipelines of New Zealand's energy infrastructure.
As we delve into this cosmic conundrum, it is prudent to acknowledge the inherent skepticism that may accompany such a seemingly far-fetched hypothesis. It's understandable to raise an eyebrow, or perhaps a telescope, at the notion that distant Uranus holds any sway over terrestrial energy consumption patterns. Yet, as we unfold these astronomical accounts side by side with the earthly consumption data, a peculiar pattern begins to emerge, like a constellation revealing itself against the dark canvas of the night sky.
The premise of this inquiry was not born out of some fanciful flight of imagination, nor from the depths of a cosmic daydream. Rather, it emerged from a thoughtful perusal of data that led us to wonder: could there be an unseen force, an unappreciated influence, or even an unknown gravitational pull linking the orbits of Uranus and the furnaces of New Zealand's energy usage? The statistical rigor employed in our investigation endeavors to tease out any latent correlations and ascertain whether they are indeed statistically significant, in the true spirit of empirical inquiry.
But as we delve into these cosmic and terrestrial spheres, we are reminded that our search for insight into this interplanetary partnership is not just about uncovering statistical patterns or intriguing correlations. It's about opening ourselves up to the possibility that the universe operates on scales and in ways that elude our current understanding, and that perhaps, just perhaps, the celestial harmonies of Uranus and the mundane machinations of New Zealand's energy economy are not as distant as they might seem at first glance.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
In exploring the unexpected nexus between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand, our research uncovered a remarkably robust correlation. Over the time period from 1980 to 2021, we found a correlation coefficient of 0.8209711, indicating a strong positive relationship between these seemingly disparate variables. This coefficient suggests that as the distance from Uranus to the Sun changes, there is a corresponding change in fossil fuel use in New Zealand, defying conventional expectations and eliciting a wry astronomical smile.
Furthermore, the coefficient of determination (r-squared) of 0.6739936 indicates that approximately 67.4% of the variability in New Zealand's fossil fuel use can be explained by the variation in the distance between Uranus and the Sun. It's as if the celestial bodies and the earthly energy patterns are engaging in an intricate dance, with Uranus orchestrating the movements of New Zealand's energy consumption from its distant cosmic stage.
To supplement these statistical findings, a scatterplot (Fig. 1) visually depicts the robust correlation between the distance from Uranus to the Sun and fossil fuel use in New Zealand. The data points align themselves obediently to the trajectory of the correlation, almost as if they are adhering to an unseen gravitational force emanating from the icy depths of Uranus.
The statistical evidence provided by the correlation coefficient and the scatterplot supports the notion of a tangible relationship between celestial distances and earthly energy choices, inviting us to contemplate the cosmic forces at play in shaping New Zealand's energy landscape. While it may be tempting to dismiss these findings as mere statistical curiosities, the strength and significance of the correlation compel us to reconsider the conventional boundaries of causality and correlation, and perhaps to look to the skies for guidance in understanding earthly phenomena.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between The distance between Uranus and the Sun and Fossil fuel use in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand
[[ABSTRACT]]
This paper delves into the seemingly disparate realms of planetary astronomy and terrestrial energy economics to uncover the surprising interplay between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand. Leveraging data from Astropy and the Energy Information Administration, our research team unearthed a correlation coefficient of 0.8209711 and a p-value less than 0.01 for the time period spanning 1980 to 2021. Our findings challenge conventional wisdom and perhaps even planetary order, as we invite readers to ponder whether Uranus holds a gravitational, or perhaps galactic, sway over New Zealand's fossil fuel preferences. While our results may seem out of this world, they offer a unique lens through which to view the celestial and the terrestrial in a unified, albeit peculiar, light.
[[LITERATURE REVIEW]]
In "The Celestial Mechanics of Uranus," Smith et al. elucidate the intricate orbital dynamics of the seventh planet from the Sun, shedding light on its unique axial tilt and peculiar rotational characteristics. Their rigorous analysis lays the foundation for our exploration into the potential link between Uranus' astronomical attributes and earthly energy consumption patterns. Furthermore, Doe's seminal work "Planetary Influence on Terrestrial Phenomena" offers insights into the historical precedents of planetary influences on terrestrial events, prompting us to consider the possibility of a celestial hand, or perhaps a celestial glove, in shaping human activities.
Turning our attention to the economic sphere, Jones et al. analyze the historical trajectory of fossil fuel use in New Zealand in "Economic Drivers of Energy Consumption." Their comprehensive study provides a nuanced understanding of the complex interplay of economic, social, and environmental factors that shape energy consumption patterns in the island nation. The juxtaposition of these studies presents a tantalizing prospect: the convergence of planetary motions and energy economics in an unexpected pas de deux.
Delving into the realm of non-fiction literature, "The Planets" by Dava Sobel recounts the captivating narratives of the solar system's celestial denizens, offering a panorama of Uranus' enigmatic allure. Similarly, "Energy Transitions: History, Requirements, Prospects" by Vaclav Smil provides a comprehensive overview of the historical evolution of energy systems, prompting us to consider the intersection of planetary distances and energy transitions in a new light.
On the fictional front, the dystopian visions of energy scarcity in Margaret Atwood's "Oryx and Crake" and the cosmic yearnings in Douglas Adams' "The Hitchhiker's Guide to the Galaxy" offer allegorical reflections on the precarious balance between planetary dynamics and human energy needs, albeit in a tongue-in-cheek manner.
Moreover, a cursory perusal of social media reveals a tweet by @SpaceEnthusiast99 positing a speculative link between Uranus' celestial choreography and New Zealand's carbon emissions, provoking a flurry of replies ranging from astute observations to whimsical musings. While social media may serve as a breeding ground for outlandish theories, it nevertheless underscores the pervasiveness of discussions around celestial influences on earthly phenomena.
These heterogeneous sources collectively weave a tapestry of knowledge that beckons us to contemplate the improbable interplay of Uranus' celestial dance and New Zealand's energy landscape, guiding our inquiry into uncharted cosmic and economic territories.
[[RESULTS]]
In exploring the unexpected nexus between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand, our research uncovered a remarkably robust correlation. Over the time period from 1980 to 2021, we found a correlation coefficient of 0.8209711, indicating a strong positive relationship between these seemingly disparate variables. This coefficient suggests that as the distance from Uranus to the Sun changes, there is a corresponding change in fossil fuel use in New Zealand, defying conventional expectations and eliciting a wry astronomical smile.
Furthermore, the coefficient of determination (r-squared) of 0.6739936 indicates that approximately 67.4% of the variability in New Zealand's fossil fuel use can be explained by the variation in the distance between Uranus and the Sun. It's as if the celestial bodies and the earthly energy patterns are engaging in an intricate dance, with Uranus orchestrating the movements of New Zealand's energy consumption from its distant cosmic stage.
To supplement these statistical findings, a scatterplot (Fig. 1) visually depicts the robust correlation between the distance from Uranus to the Sun and fossil fuel use in New Zealand. The data points align themselves obediently to the trajectory of the correlation, almost as if they are adhering to an unseen gravitational force emanating from the icy depths of Uranus.
The statistical evidence provided by the correlation coefficient and the scatterplot supports the notion of a tangible relationship between celestial distances and earthly energy choices, inviting us to contemplate the cosmic forces at play in shaping New Zealand's energy landscape. While it may be tempting to dismiss these findings as mere statistical curiosities, the strength and significance of the correlation compel us to reconsider the conventional boundaries of causality and correlation, and perhaps to look to the skies for guidance in understanding earthly phenomena.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The analysis presented in this research paper illuminates a surprising connection between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand, challenging conventional notions of causality and inviting a deeper contemplation of planetary influences on terrestrial events. As we delve into the implications of our findings, it becomes apparent that the celestial dance of Uranus may wield a more profound influence on human activities than previously envisaged.
Our results echo the musings of Doe and Smith et al., who subtly hinted at the potential interplay between planetary attributes and terrestrial phenomena. While their work may initially appear to be grounded in celestial mechanics, our findings lend empirical support to the notion that planetary motions may reverberate through the fabric of human endeavors, shaping energy consumption patterns in unexpected ways. The robust correlation coefficient of 0.8209711 and the coefficient of determination of 0.6739936 offer compelling evidence of a tangible relationship between the celestial distance and earthly energy choices, positioning Uranus as an unconventional yet potent player in New Zealand's energy landscape.
The juxtaposition of these seemingly incongruous realms prompts a reconsideration of the boundaries between the cosmic and the earthly. The whimsical tweet by @SpaceEnthusiast99, once dismissed as fanciful speculation, now emerges as a prescient spark that ignited a discourse on the interplay of celestial choreography and human energy needs. The amalgamation of non-fictional and fictional literature serves as a testament to the pervasive allure of planetary dynamics and human energy quests, urging us to acknowledge the planetary forces that may underpin our terrestrial narratives.
While our findings may initially elicit a wry astronomical smile, they pave the way for a deeper exploration of the gravitational, or perhaps galactic, sway of celestial bodies on human activities. The unexpected nexus between Uranus' distance from the Sun and New Zealand's fossil fuel use serves as a harbinger of uncharted cosmic and economic territories, catalyzing a paradigm shift in our understanding of planetary influences on terrestrial events. Thus, we are reminded to behold the celestial dance with a blend of awe and introspection, recognizing that even the most distant cosmic entities may shape the terrestrial in an unexpected pas de deux.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between The distance between Uranus and the Sun and Fossil fuel use in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand
[[ABSTRACT]]
This paper delves into the seemingly disparate realms of planetary astronomy and terrestrial energy economics to uncover the surprising interplay between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand. Leveraging data from Astropy and the Energy Information Administration, our research team unearthed a correlation coefficient of 0.8209711 and a p-value less than 0.01 for the time period spanning 1980 to 2021. Our findings challenge conventional wisdom and perhaps even planetary order, as we invite readers to ponder whether Uranus holds a gravitational, or perhaps galactic, sway over New Zealand's fossil fuel preferences. While our results may seem out of this world, they offer a unique lens through which to view the celestial and the terrestrial in a unified, albeit peculiar, light.
[[INTRDUCTION]]
The astute correlation between celestial mechanics and earthly energy consumption has long captivated researchers across disparate disciplines. In this study, we embark on a peculiar journey to investigate the hitherto unexplored relationship between the distance from Uranus to the Sun and fossil fuel use in New Zealand. It is not simply a matter of ascribing causality to cosmic coincidences, but rather, to delve into the underlying mechanisms that may align the vaults of Uranus with the pipelines of New Zealand's energy infrastructure.
As we delve into this cosmic conundrum, it is prudent to acknowledge the inherent skepticism that may accompany such a seemingly far-fetched hypothesis. It's understandable to raise an eyebrow, or perhaps a telescope, at the notion that distant Uranus holds any sway over terrestrial energy consumption patterns. Yet, as we unfold these astronomical accounts side by side with the earthly consumption data, a peculiar pattern begins to emerge, like a constellation revealing itself against the dark canvas of the night sky.
The premise of this inquiry was not born out of some fanciful flight of imagination, nor from the depths of a cosmic daydream. Rather, it emerged from a thoughtful perusal of data that led us to wonder: could there be an unseen force, an unappreciated influence, or even an unknown gravitational pull linking the orbits of Uranus and the furnaces of New Zealand's energy usage? The statistical rigor employed in our investigation endeavors to tease out any latent correlations and ascertain whether they are indeed statistically significant, in the true spirit of empirical inquiry.
But as we delve into these cosmic and terrestrial spheres, we are reminded that our search for insight into this interplanetary partnership is not just about uncovering statistical patterns or intriguing correlations. It's about opening ourselves up to the possibility that the universe operates on scales and in ways that elude our current understanding, and that perhaps, just perhaps, the celestial harmonies of Uranus and the mundane machinations of New Zealand's energy economy are not as distant as they might seem at first glance.
[[RESULTS]]
In exploring the unexpected nexus between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand, our research uncovered a remarkably robust correlation. Over the time period from 1980 to 2021, we found a correlation coefficient of 0.8209711, indicating a strong positive relationship between these seemingly disparate variables. This coefficient suggests that as the distance from Uranus to the Sun changes, there is a corresponding change in fossil fuel use in New Zealand, defying conventional expectations and eliciting a wry astronomical smile.
Furthermore, the coefficient of determination (r-squared) of 0.6739936 indicates that approximately 67.4% of the variability in New Zealand's fossil fuel use can be explained by the variation in the distance between Uranus and the Sun. It's as if the celestial bodies and the earthly energy patterns are engaging in an intricate dance, with Uranus orchestrating the movements of New Zealand's energy consumption from its distant cosmic stage.
To supplement these statistical findings, a scatterplot (Fig. 1) visually depicts the robust correlation between the distance from Uranus to the Sun and fossil fuel use in New Zealand. The data points align themselves obediently to the trajectory of the correlation, almost as if they are adhering to an unseen gravitational force emanating from the icy depths of Uranus.
The statistical evidence provided by the correlation coefficient and the scatterplot supports the notion of a tangible relationship between celestial distances and earthly energy choices, inviting us to contemplate the cosmic forces at play in shaping New Zealand's energy landscape. While it may be tempting to dismiss these findings as mere statistical curiosities, the strength and significance of the correlation compel us to reconsider the conventional boundaries of causality and correlation, and perhaps to look to the skies for guidance in understanding earthly phenomena.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our investigation into the correlation between the distance from Uranus to the Sun and fossil fuel use in New Zealand has unearthed a truly unique and unexpected relationship. The statistically robust correlation coefficient of 0.8209711 and the substantial coefficient of determination of 0.6739936 reveal a compelling interplay between the celestial positioning of Uranus and the energy consumption patterns of New Zealand. It's as if Uranus is whispering, or perhaps conspiring, to influence the fuel choices of a distant terrestrial realm. These findings challenge conventional wisdom and nudge us to ponder the cosmic symphony at play in shaping earthly energy dynamics.
This peculiar connection may prompt some to raise an eyebrow, or even question if our findings are "out of this world." However, the statistical evidence firmly supports the existence of a tangible relationship, inviting us to contemplate the celestial forces at play in shaping New Zealand's energy landscape. It appears that the cosmic dance of Uranus may indeed be orchestrating the movements of New Zealand's energy consumption from its distant cosmic stage, defying conventional expectations and eliciting a wry astronomical smile.
While the statistical significance of our findings may seem perplexing at first glance, it is imperative to recognize the potential implications for both the fields of planetary astronomy and terrestrial energy economics. The notion that distant celestial bodies may hold sway over terrestrial energy consumption patterns challenges us to expand our perspectives and consider unorthodox sources of influence in our earthly affairs. It also emphasizes the need for interdisciplinary collaboration that transcends traditional boundaries, as we navigate the uncharted territories of interplanetary interactions and their implications for terrestrial activities.
In light of these groundbreaking revelations, we assert that further research in this domain may not yield significant incremental insights and may, in fact, lead us down a cosmic rabbit hole with diminishing returns. Therefore, we cautiously conclude our investigation on this uniquely entertaining note, acknowledging that the cosmic and the terrestrial, while seemingly disparate, may harbor unexpected harmonies that continue to elude our complete understanding.
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 Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Cosmic Conundrums
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 Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand. Respond only with the name of a fictional organization.
ChatGPT:
The Consortium for Planetary Energy Relations Studies
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 Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand with an abstract of This paper delves into the seemingly disparate realms of planetary astronomy and terrestrial energy economics to uncover the surprising interplay between the distance from Uranus to the Sun and fossil fuel consumption in New Zealand. Leveraging data from Astropy and the Energy Information Administration, our research team unearthed a correlation coefficient of 0.8209711 and a p-value less than 0.01 for the time period spanning 1980 to 2021. Our findings challenge conventional wisdom and perhaps even planetary order, as we invite readers to ponder whether Uranus holds a gravitational, or perhaps galactic, sway over New Zealand's fossil fuel preferences. While our results may seem out of this world, they offer a unique lens through which to view the celestial and the terrestrial in a unified, albeit peculiar, light.
ChatGPT:
Uranus, Sun distance, fossil fuel use, New Zealand, correlation coefficient, p-value, Astropy, Energy Information Administration, planetary astronomy, energy economics, gravitational influence, galactic sway, celestial influence
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
The distance between Uranus and the SunDetailed data title: The average distance between Uranus and the Sun as measured on the first day of each month
Source: Caclculated using Astropy
Additional Info: I wrote a Python script using Astropy to calculate the distance between the named planets on the first day of each month for every year.
See what else correlates with The distance between Uranus and the Sun
Fossil fuel use in New Zealand
Detailed data title: Total fossil fuel use in New Zealand in billion kWh
Source: Energy Information Administration
See what else correlates with Fossil fuel use in New Zealand
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 = 0.6739936 (Coefficient of determination)
This means 67.4% of the change in the one variable (i.e., Fossil fuel use in New Zealand) is predictable based on the change in the other (i.e., The distance between Uranus and the Sun) over the 42 years from 1980 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.8E-11. 0.0000000000277663389444230800
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 0.82 in 2.8E-9% of random cases. Said differently, if you correlated 36,014,830,835 random variables You don't actually need 36 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 41 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 41 because we have two variables measured over a period of 42 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.
[ 0.69, 0.9 ] 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.
| 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| The distance between Uranus and the Sun (Planetary distance (AU)) | 18.7519 | 18.816 | 18.8813 | 18.9473 | 19.0136 | 19.0797 | 19.1456 | 19.2114 | 19.2773 | 19.343 | 19.4085 | 19.4735 | 19.5377 | 19.6002 | 19.6602 | 19.7172 | 19.7706 | 19.8197 | 19.8643 | 19.9045 | 19.9405 | 19.9724 | 20.0008 | 20.0257 | 20.0475 | 20.0658 | 20.0804 | 20.0909 | 20.0968 | 20.0975 | 20.0929 | 20.0826 | 20.0668 | 20.0459 | 20.0203 | 19.9907 | 19.9574 | 19.9211 | 19.882 | 19.8403 | 19.7956 | 19.748 |
| Fossil fuel use in New Zealand (Billion kWh) | 1.92217 | 2.20517 | 4.81829 | 4.93356 | 5.28686 | 6.5089 | 5.03713 | 5.57818 | 5.84795 | 6.00414 | 5.96517 | 7.03569 | 8.36818 | 7.29746 | 5.78365 | 5.37904 | 7.07343 | 10.3098 | 8.44043 | 10.6056 | 10.2739 | 13.3415 | 11.4106 | 12.7974 | 10.8938 | 14.1305 | 14.1698 | 13.9943 | 14.5123 | 11.373 | 11.1302 | 9.8314 | 11.5562 | 10.3082 | 8.37664 | 8.11157 | 6.32036 | 7.66568 | 6.7792 | 7.53939 | 8.11043 | 7.71047 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is. - Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves.
Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. 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([18.7519,18.816,18.8813,18.9473,19.0136,19.0797,19.1456,19.2114,19.2773,19.343,19.4085,19.4735,19.5377,19.6002,19.6602,19.7172,19.7706,19.8197,19.8643,19.9045,19.9405,19.9724,20.0008,20.0257,20.0475,20.0658,20.0804,20.0909,20.0968,20.0975,20.0929,20.0826,20.0668,20.0459,20.0203,19.9907,19.9574,19.9211,19.882,19.8403,19.7956,19.748,])
array_2 = np.array([1.92217,2.20517,4.81829,4.93356,5.28686,6.5089,5.03713,5.57818,5.84795,6.00414,5.96517,7.03569,8.36818,7.29746,5.78365,5.37904,7.07343,10.3098,8.44043,10.6056,10.2739,13.3415,11.4106,12.7974,10.8938,14.1305,14.1698,13.9943,14.5123,11.373,11.1302,9.8314,11.5562,10.3082,8.37664,8.11157,6.32036,7.66568,6.7792,7.53939,8.11043,7.71047,])
array_1_name = "The distance between Uranus and the Sun"
array_2_name = "Fossil fuel use in New Zealand"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only The distance between Uranus and the Sun
- Line chart for only Fossil fuel use in New Zealand
- AI-generated correlation image
- The spurious research paper: Uranus' Unusual Unison: Unraveling the Unanticipated Unveiling of the Unconventional Connection between Uranus-Sun Distance and Fossil Fuel Use in New Zealand
Your dedication to rating warms my heart!
Correlation ID: 3265 · Black Variable ID: 1934 · Red Variable ID: 23855
