Spurious correlation #3,873 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The distance between Uranus and the Sun and the second variable is Hydopower energy generated in New Zealand. The chart goes from 1980 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 The distance between Uranus and the Sun and the second variable is Hydopower energy generated in New Zealand. The chart goes from 1980 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

The gravitational pull of Uranus created a tidal effect on Earth's water, leading to a surge in hydroelectric power production in New Zealand. As Uranus moved farther away, it relieved some pressure on the water systems, allowing for more efficient energy generation.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a vaporwave-inspired surreal landscape, where the serene and spacious solar system is depicted in pastel colors with aesthetically pleasing planetary alignments. Uranus drifts comfortably distant from the Sun with a dreamy glow surrounding them. Meanwhile, in the lush landscape of New Zealand, the increased distance of Uranus has triggered a cascade of raindrops, filling the rivers with a gentle rush of water. Show mighty turbines spinning vigorously, creating a sense of energy and vibrancy in the surreal and dreamlike atmosphere. 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 Hydopower energy generated 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: Charcoal Cute 2D animation inspired by bauhaus Vaporwave Macabre
ChatGPT: Vaporwave

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 Hydopower energy generated in New Zealand, in the following situation: Because the distance between Uranus and the Sun increased, the gravitational pull created a ripple effect, causing more rainfall in New Zealand. This increased water flow then led to a boost in hydropower energy generation.. Keep the description simple.
ChatGPT: In a serene and spacious solar system, Uranus drifts comfortably distant from the warm embrace of the Sun. Meanwhile, in the lush landscape of New Zealand, the increased distance has triggered a cascade of raindrops, filling the rivers with a gentle rush of water. This surge of water is harnessed by mighty turbines, spinning vigorously and generating an abundance of clean and sustainable hydropower energy.

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: [ Vaporwave ] and depicting this scene: In a serene and spacious solar system, Uranus drifts comfortably distant from the warm embrace of the Sun. Meanwhile, in the lush landscape of New Zealand, the increased distance has triggered a cascade of raindrops, filling the rivers with a gentle rush of water. This surge of water is harnessed by mighty turbines, spinning vigorously and generating an abundance of clean and sustainable hydropower energy. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a vaporwave-inspired surreal landscape, where the serene and spacious solar system is depicted in pastel colors with aesthetically pleasing planetary alignments. Uranus drifts comfortably distant from the Sun with a dreamy glow surrounding them. Meanwhile, in the lush landscape of New Zealand, the increased distance of Uranus has triggered a cascade of raindrops, filling the rivers with a gentle rush of water. Show mighty turbines spinning vigorously, creating a sense of energy and vibrancy in the surreal and dreamlike atmosphere.

*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 The distance between Uranus and the Sun caused Hydopower energy generated in New Zealand to increase.

AI academic paper

(Because p < 0.01)

The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand

The Journal of Extraterrestrial Energy Research

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 goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Hydopower energy generated 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 name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand

[[ABSTRACT]]
In this paper, we explore the tangentially related concepts of celestial distances and earthly energy, investigating the peculiar relationship between the distance from Uranus to the Sun and hydropower energy generation in the picturesque land of New Zealand. Leveraging data sources such as Astropy for astronomical calculations and the Energy Information Administration for energy production figures, our research team embarked on a cosmic journey to unravel this enigmatic bond. Our analysis, covering the years 1980 to 2021, revealed a robust and statistically significant correlation coefficient of 0.7210869, with a p-value less than 0.01. The implications of these findings, while likely of little practical value, invite us to ponder the curious interplay of interplanetary dynamics and terrestrial pursuits. Amidst the vast expanse of space, it appears that the whims of Uranus exert a peculiar influence on the flow of hydroelectric currents in the verdant landscapes of New Zealand.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The interconnectedness of the cosmos and the Earth's systems has long fascinated scientists and enthusiasts alike. While the public's attention may gravitate towards more glamorous celestial phenomena, such as the supernovae or the enigmatic black holes, our study delves into the lesser-known realm of celestial distances and their seemingly improbable connection to energy generation on our humble planet. Specifically, we scrutinize the perplexing relationship between the distance from Uranus to the Sun and the generation of hydropower energy in the charming and verdant landscapes of New Zealand.
Though this research endeavor may seem to some as a mere flight of fancy, we assure the reader that it rests firmly on robust quantitative analysis and astrophysical calculations. As we embark on this cosmic exploration, it is crucial to note that our investigation is propelled by a genuine scientific curiosity, perhaps tinged with a hint of whimsy.
The distant and chilly Uranus, with its peculiar tilt and its mysterious composition, sits as the seventh planet from the Sun in our celestial neighborhood. Meanwhile, New Zealand, renowned for its stunning natural beauty and vibrant culture, relies significantly on hydropower as a primary source of renewable energy. The juxtaposition of these two seemingly disparate entities forms the crux of our inquiry, inviting us to ponder the intricate interplay between Uranus's orbital dynamics and the terrestrial endeavors of energy generation.
With the aid of advanced astronomical software and thorough energy production data, we scrutinized the intertwined fates of Uranus and New Zealand's hydropower facilities. Our endeavor has unearthed a statistically significant correlation that, while undoubtedly captivating, may leave some scratching their heads in bemusement and disbelief. Nevertheless, we forge ahead, navigating the cosmic currents to unravel this enigmatic bond between the distant ice giant and the gushing waters of New Zealand's hydropower infrastructure.
In the subsequent sections of this paper, we shall elucidate the methodology employed, present our findings, and ruminate on the potential implications of this celestial-terrestrial nexus. Embrace yourself for a journey that traverses the cosmic expanse and meanders through the verdant valleys of practical curiosity.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Smith et al. (2015) examined the gravitational effects of planetary distances on Earth's energy systems, delving into the potential correlations between celestial bodies and earthly energy sources. While their study encompassed a broad scope of planetary distances, it regrettably overlooked the specific relationship between Uranus-Sun distance and hydropower generation in New Zealand. In a similar vein, Doe and Jones (2018) explored the influence of cosmic events on earthly phenomena, albeit with a focus on solar flares and their impact on electrical grids. Despite their comprehensive analysis, the authors failed to venture into the realm of Uranus's orbital dynamics and its peculiar association with New Zealand's hydropower infrastructure.

Turning to more general sources, "Astrophysics for People in a Hurry" by Neil deGrasse Tyson delves into celestial mechanics with an engaging and accessible approach, providing a broader context for understanding the dynamics of planetary orbits. Furthermore, "Energy and Civilization: A History" by Vaclav Smil offers a comprehensive historical perspective on humanity's quest for energy, shedding light on the interconnectedness of energy generation and societal progress.

Transitioning to sources that provide a fictional lens on the topic at hand, H.G. Wells's "The War of the Worlds" offers a thrilling narrative that, while centered on Martian invaders rather than Uranian influences, sparks the imagination with its extraterrestrial themes. Ursula K. Le Guin's "The Dispossessed" paints a fascinating picture of life on a distant planet, prompting reflection on the human drive for sustainable energy and societal harmony.

On a more unconventional note, the research team diligently perused episodes of "The X-Files" for potential insights into celestial anomalies and their enigmatic connections to terrestrial affairs. Additionally, "Doctor Who" provided compelling albeit speculative considerations of planetary dynamics, offering an engaging departure from the conventional scientific discourse.

While the relevance of these sources to the specific inquiry at hand may seem tenuous at best, their diverse perspectives and imaginative allure served to infuse the research process with a dash of excitement and curiosity. As we delve into the substantive findings and implications in the subsequent sections, we encourage the reader to embrace the eclectic spirit of inquiry that guided our cosmic expedition.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Hydopower energy generated in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from 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]]
The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand

[[ABSTRACT]]
In this paper, we explore the tangentially related concepts of celestial distances and earthly energy, investigating the peculiar relationship between the distance from Uranus to the Sun and hydropower energy generation in the picturesque land of New Zealand. Leveraging data sources such as Astropy for astronomical calculations and the Energy Information Administration for energy production figures, our research team embarked on a cosmic journey to unravel this enigmatic bond. Our analysis, covering the years 1980 to 2021, revealed a robust and statistically significant correlation coefficient of 0.7210869, with a p-value less than 0.01. The implications of these findings, while likely of little practical value, invite us to ponder the curious interplay of interplanetary dynamics and terrestrial pursuits. Amidst the vast expanse of space, it appears that the whims of Uranus exert a peculiar influence on the flow of hydroelectric currents in the verdant landscapes of New Zealand.

[[INTRODUCTION]]
INTRODUCTION
The interconnectedness of the cosmos and the Earth's systems has long fascinated scientists and enthusiasts alike. While the public's attention may gravitate towards more glamorous celestial phenomena, such as the supernovae or the enigmatic black holes, our study delves into the lesser-known realm of celestial distances and their seemingly improbable connection to energy generation on our humble planet. Specifically, we scrutinize the perplexing relationship between the distance from Uranus to the Sun and the generation of hydropower energy in the charming and verdant landscapes of New Zealand.
Though this research endeavor may seem to some as a mere flight of fancy, we assure the reader that it rests firmly on robust quantitative analysis and astrophysical calculations. As we embark on this cosmic exploration, it is crucial to note that our investigation is propelled by a genuine scientific curiosity, perhaps tinged with a hint of whimsy.
The distant and chilly Uranus, with its peculiar tilt and its mysterious composition, sits as the seventh planet from the Sun in our celestial neighborhood. Meanwhile, New Zealand, renowned for its stunning natural beauty and vibrant culture, relies significantly on hydropower as a primary source of renewable energy. The juxtaposition of these two seemingly disparate entities forms the crux of our inquiry, inviting us to ponder the intricate interplay between Uranus's orbital dynamics and the terrestrial endeavors of energy generation.
With the aid of advanced astronomical software and thorough energy production data, we scrutinized the intertwined fates of Uranus and New Zealand's hydropower facilities. Our endeavor has unearthed a statistically significant correlation that, while undoubtedly captivating, may leave some scratching their heads in bemusement and disbelief. Nevertheless, we forge ahead, navigating the cosmic currents to unravel this enigmatic bond between the distant ice giant and the gushing waters of New Zealand's hydropower infrastructure.
In the subsequent sections of this paper, we shall elucidate the methodology employed, present our findings, and ruminate on the potential implications of this celestial-terrestrial nexus. Embrace yourself for a journey that traverses the cosmic expanse and meanders through the verdant valleys of practical curiosity.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To commence our cosmic quest into the interplay of celestial distances and earthly energy, we engaged in a methodological approach that balanced scientific rigor with a dash of whimsy. Our data collection process involved consulting a plethora of sources scattered across the internet, with a particular nod to Astropy for precise astronomical calculations and the Energy Information Administration for the pragmatic energy production figures. The interstellar dance between Uranus and the Sun, along with the hydroelectric symphony in the picturesque landscapes of New Zealand, beckoned us to undertake an analysis that defied conventional boundaries.

Our approach began with the retrieval of accurate data regarding the distance between Uranus and the Sun, spanning the years 1980 to 2021. Employing Astropy's astronomical alchemy, we transmuted these raw astronomical figures into a dataset suitable for numerical scrutiny, all while resisting the gravitational pull of confusion that often accompanies celestial measurements.

Simultaneously, we gathered information on the hydropower energy generation in New Zealand, harnessing the robust datasets offered by the Energy Information Administration. We meticulously navigated through the ebb and flow of hydropower production, harnessing the power of statistical software to distill these dynamic figures into a form amenable to quantitative analysis. Amidst this process, we maintained a steadfast focus on the interplanetary forces at play, allowing our minds to occasionally wander into the cosmic depths as we toiled through earthly energy statistics.

The amalgamation of these disparate datasets facilitated the creation of a comprehensive analysis, enabling us to scrutinize the potential connection between Uranus's celestial wanderings and the terrestrial hum of hydropower generation. Leveraging statistical tools and a dollop of astronomical intuition, we subjected these datasets to rigorous examination, questing for signs of correlation that would illuminate the mysterious interplay between the distant ice giant and the verdant energy landscapes of New Zealand.

To lend further gravity to our findings, we calculated the correlation coefficient and associated p-values, bestowing upon our analysis a scientific sheen that sparkled amidst the cosmic abyss. The robustness of our statistical methods, tempered with a sprinkle of interdisciplinary curiosity, paved the way for the unearthing of intriguing insights lurking amidst the celestial expanse and terrene energies.

In the subsequent sections, we shall unveil the esoteric findings of our cosmic odyssey, shedding light upon the unanticipated kinship between Uranus's distant majesty and New Zealand's aqueous energy symphony.Brace yourselves for a scientific journey that melds the whimsical with the empirical, where the lofty orbits of icy giants and the gushing waters of hydropower converge in an improbable cosmic ballet.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Hydopower energy generated in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

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

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

[[TITLE]]
The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand

[[ABSTRACT]]
In this paper, we explore the tangentially related concepts of celestial distances and earthly energy, investigating the peculiar relationship between the distance from Uranus to the Sun and hydropower energy generation in the picturesque land of New Zealand. Leveraging data sources such as Astropy for astronomical calculations and the Energy Information Administration for energy production figures, our research team embarked on a cosmic journey to unravel this enigmatic bond. Our analysis, covering the years 1980 to 2021, revealed a robust and statistically significant correlation coefficient of 0.7210869, with a p-value less than 0.01. The implications of these findings, while likely of little practical value, invite us to ponder the curious interplay of interplanetary dynamics and terrestrial pursuits. Amidst the vast expanse of space, it appears that the whims of Uranus exert a peculiar influence on the flow of hydroelectric currents in the verdant landscapes of New Zealand.

[[LITERATURE REVIEW]]
Smith et al. (2015) examined the gravitational effects of planetary distances on Earth's energy systems, delving into the potential correlations between celestial bodies and earthly energy sources. While their study encompassed a broad scope of planetary distances, it regrettably overlooked the specific relationship between Uranus-Sun distance and hydropower generation in New Zealand. In a similar vein, Doe and Jones (2018) explored the influence of cosmic events on earthly phenomena, albeit with a focus on solar flares and their impact on electrical grids. Despite their comprehensive analysis, the authors failed to venture into the realm of Uranus's orbital dynamics and its peculiar association with New Zealand's hydropower infrastructure.
Turning to more general sources, "Astrophysics for People in a Hurry" by Neil deGrasse Tyson delves into celestial mechanics with an engaging and accessible approach, providing a broader context for understanding the dynamics of planetary orbits. Furthermore, "Energy and Civilization: A History" by Vaclav Smil offers a comprehensive historical perspective on humanity's quest for energy, shedding light on the interconnectedness of energy generation and societal progress.
Transitioning to sources that provide a fictional lens on the topic at hand, H.G. Wells's "The War of the Worlds" offers a thrilling narrative that, while centered on Martian invaders rather than Uranian influences, sparks the imagination with its extraterrestrial themes. Ursula K. Le Guin's "The Dispossessed" paints a fascinating picture of life on a distant planet, prompting reflection on the human drive for sustainable energy and societal harmony.
On a more unconventional note, the research team diligently perused episodes of "The X-Files" for potential insights into celestial anomalies and their enigmatic connections to terrestrial affairs. Additionally, "Doctor Who" provided compelling albeit speculative considerations of planetary dynamics, offering an engaging departure from the conventional scientific discourse.
While the relevance of these sources to the specific inquiry at hand may seem tenuous at best, their diverse perspectives and imaginative allure served to infuse the research process with a dash of excitement and curiosity. As we delve into the substantive findings and implications in the subsequent sections, we encourage the reader to embrace the eclectic spirit of inquiry that guided our cosmic expedition.

[[RESULTS]]
The analysis of the data revealed a remarkable correlation between the distance from Uranus to the Sun and the annual hydropower energy generation in New Zealand. Our findings indicate a correlation coefficient of 0.7210869, indicative of a strong positive association between these seemingly disparate variables. The r-squared value of 0.5199663 suggests that approximately 52% of the variability in hydropower energy generation can be explained by the distance from Uranus to the Sun. Furthermore, the p-value of less than 0.01 underscores the statistical significance of the observed relationship, affirming the robustness of our conclusions.
To visually encapsulate this intriguing correlation, we present Figure 1, a scatterplot that vividly portrays the compelling association between the distance from Uranus to the Sun and the hydropower energy generation in New Zealand. This graphical representation serves as a testament to the unexpected cosmic dance that influences earthly energy dynamics.
The figure, while displaying a strong correlation, also serves as a visual reminder that science, much like life, is full of surprises and peculiar connections. Who would have thought that the distant, frigid orb of Uranus could have any bearing on the hydroelectric currents coursing through the breathtaking landscapes of New Zealand? The universe never fails to astonish, even in its seemingly mundane connections.
These results, while undoubtedly intriguing, invite further contemplation on the underlying mechanisms that may drive this cosmic-terrestrial nexus. Perhaps the orbital dynamics of Uranus subtly influence atmospheric and hydrological patterns on Earth, thereby impacting the generation of hydropower energy in New Zealand. Alternatively, we may be witnessing a mere celestial coincidence, a wry cosmic jest that eludes our current understanding.
In the subsequent sections, we will delve into the implications of these findings and contemplate the broader significance, if any, of the interplay between Uranus and New Zealand's energy landscape. Our analysis, while sober and methodical, has led us to a captivating confluence of the celestial and the mundane, urging us to embrace the whimsical forces that operate in the cosmic theater of existence.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of our investigation offer a compelling perspective on the interplay between celestial distances and terrestrial energy dynamics. Our research has confirmed and extended the prior work of Smith et al. (2015) and Doe and Jones (2018), shedding light on the hitherto unexplored relationship between the distance from Uranus to the Sun and hydropower generation in New Zealand. While the connection may appear whimsical at first glance, our results unequivocally validate the presence of a statistically significant correlation, a testament to the cosmic choreography that influences earthly energy systems.

Emanating from the cosmic depths, the subtle gravitational influences of Uranus seem to reach across the vast expanse of space to leave an indelible imprint on the hydroelectric currents coursing through the rivers and valleys of New Zealand. Indeed, as we contemplated the data, we marveled at the unseen forces at play, pondering the cosmic ballet that dictates the ebb and flow of energy in our world.

Drawing from the literature review, we must revisit our initial skepticism regarding the relevance of fictional works to our scientific inquiry. In light of our findings, the extraterrestrial themes of H.G. Wells's "The War of the Worlds" and the imaginative considerations of planetary dynamics in "Doctor Who" warrant a renewed appreciation. Who's to say that these imaginative explorations of celestial phenomena did not somehow capture a fraction of the truth that our empirical investigation has now substantiated? After all, as Carl Sagan famously said, "We are made of star-stuff," and it seems that the celestial bodies, including the distant Uranus, may play a role in shaping our earthly endeavors, including the harnessing of hydropower in New Zealand.

As we confront the unorthodox connection between Uranus and New Zealand's energy landscape, we are reminded that science, for all its rigor, is not impervious to delightful surprises. Indeed, the universe, much like a cosmic stand-up comedian, occasionally delivers punchlines that leave us reeling with amusement and astonishment. In this case, the notion that a planet over 2 billion kilometers away could influence the energy production of an island nation in the South Pacific is as delightful as it is confounding.

With a nod to the astrophysical community, our study prompts a reevaluation of which astronomical phenomena we consider to be relevant to earthly affairs. While Uranus may have been relegated to the outer fringes of our cosmic consciousness, it seems to have exerted an unexpected influence on the generation of hydropower in New Zealand. As we continue to explore the cosmic orchestra that shapes our world, we must remain open to the possibility that celestial bodies, even those that inspire puerile humor, can hold sway over the mechanisms of our daily lives.

In the absence of definitive mechanisms underlying this cosmic-terrestrial nexus, we are left with a conundrum that tantalizes the scientific imagination. Are we witnessing a symphony of gravitational perturbations, an intricate dance of planetary alignments, or simply an enigmatic confluence of numerical oddities? While the answer eludes us at present, the pursuit of understanding grants us the privilege of contemplating the wondrous mysteries that abound in our universe.

In the ensuing sections, we will leap from the cosmic dance floor to the practical considerations that arise from our findings, guiding the reader through the implications of this celestial tango for the energy landscape of New Zealand. But for now, let us revel in the cosmic caprice that has imbued our research with an unexpected dash of celestial merriment.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Hydopower energy generated in New Zealand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand

[[ABSTRACT]]
In this paper, we explore the tangentially related concepts of celestial distances and earthly energy, investigating the peculiar relationship between the distance from Uranus to the Sun and hydropower energy generation in the picturesque land of New Zealand. Leveraging data sources such as Astropy for astronomical calculations and the Energy Information Administration for energy production figures, our research team embarked on a cosmic journey to unravel this enigmatic bond. Our analysis, covering the years 1980 to 2021, revealed a robust and statistically significant correlation coefficient of 0.7210869, with a p-value less than 0.01. The implications of these findings, while likely of little practical value, invite us to ponder the curious interplay of interplanetary dynamics and terrestrial pursuits. Amidst the vast expanse of space, it appears that the whims of Uranus exert a peculiar influence on the flow of hydroelectric currents in the verdant landscapes of New Zealand.

[[INTRDUCTION]]
INTRODUCTION
The interconnectedness of the cosmos and the Earth's systems has long fascinated scientists and enthusiasts alike. While the public's attention may gravitate towards more glamorous celestial phenomena, such as the supernovae or the enigmatic black holes, our study delves into the lesser-known realm of celestial distances and their seemingly improbable connection to energy generation on our humble planet. Specifically, we scrutinize the perplexing relationship between the distance from Uranus to the Sun and the generation of hydropower energy in the charming and verdant landscapes of New Zealand.
Though this research endeavor may seem to some as a mere flight of fancy, we assure the reader that it rests firmly on robust quantitative analysis and astrophysical calculations. As we embark on this cosmic exploration, it is crucial to note that our investigation is propelled by a genuine scientific curiosity, perhaps tinged with a hint of whimsy.
The distant and chilly Uranus, with its peculiar tilt and its mysterious composition, sits as the seventh planet from the Sun in our celestial neighborhood. Meanwhile, New Zealand, renowned for its stunning natural beauty and vibrant culture, relies significantly on hydropower as a primary source of renewable energy. The juxtaposition of these two seemingly disparate entities forms the crux of our inquiry, inviting us to ponder the intricate interplay between Uranus's orbital dynamics and the terrestrial endeavors of energy generation.
With the aid of advanced astronomical software and thorough energy production data, we scrutinized the intertwined fates of Uranus and New Zealand's hydropower facilities. Our endeavor has unearthed a statistically significant correlation that, while undoubtedly captivating, may leave some scratching their heads in bemusement and disbelief. Nevertheless, we forge ahead, navigating the cosmic currents to unravel this enigmatic bond between the distant ice giant and the gushing waters of New Zealand's hydropower infrastructure.
In the subsequent sections of this paper, we shall elucidate the methodology employed, present our findings, and ruminate on the potential implications of this celestial-terrestrial nexus. Embrace yourself for a journey that traverses the cosmic expanse and meanders through the verdant valleys of practical curiosity.

[[RESULTS]]
The analysis of the data revealed a remarkable correlation between the distance from Uranus to the Sun and the annual hydropower energy generation in New Zealand. Our findings indicate a correlation coefficient of 0.7210869, indicative of a strong positive association between these seemingly disparate variables. The r-squared value of 0.5199663 suggests that approximately 52% of the variability in hydropower energy generation can be explained by the distance from Uranus to the Sun. Furthermore, the p-value of less than 0.01 underscores the statistical significance of the observed relationship, affirming the robustness of our conclusions.
To visually encapsulate this intriguing correlation, we present Figure 1, a scatterplot that vividly portrays the compelling association between the distance from Uranus to the Sun and the hydropower energy generation in New Zealand. This graphical representation serves as a testament to the unexpected cosmic dance that influences earthly energy dynamics.
The figure, while displaying a strong correlation, also serves as a visual reminder that science, much like life, is full of surprises and peculiar connections. Who would have thought that the distant, frigid orb of Uranus could have any bearing on the hydroelectric currents coursing through the breathtaking landscapes of New Zealand? The universe never fails to astonish, even in its seemingly mundane connections.
These results, while undoubtedly intriguing, invite further contemplation on the underlying mechanisms that may drive this cosmic-terrestrial nexus. Perhaps the orbital dynamics of Uranus subtly influence atmospheric and hydrological patterns on Earth, thereby impacting the generation of hydropower energy in New Zealand. Alternatively, we may be witnessing a mere celestial coincidence, a wry cosmic jest that eludes our current understanding.
In the subsequent sections, we will delve into the implications of these findings and contemplate the broader significance, if any, of the interplay between Uranus and New Zealand's energy landscape. Our analysis, while sober and methodical, has led us to a captivating confluence of the celestial and the mundane, urging us to embrace the whimsical forces that operate in the cosmic theater of existence.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation into the relationship between the distance from Uranus to the Sun and hydropower energy generation in New Zealand has illuminated a captivating connection that challenges conventional scientific paradigms. The robust correlation coefficient of 0.7210869 and the r-squared value of 0.5199663 underscore the statistically significant association between these seemingly incongruous variables. The scatterplot in Figure 1 vividly captures this cosmic-terrestrial interplay, serving as a visual testament to the whimsy that pervades the universe.

The implications of our findings invite contemplation and perhaps a touch of wonderment. While it is tempting to speculate about celestial mechanisms orchestrating earthly energies, we must exercise caution in attributing causality to this cosmic dance. The universe, it seems, delights in concocting enigmatic connections that challenge our understanding and ignite the flames of curiosity.

As we reflect on the broader significance of our research, we cannot help but marvel at the sublime intricacies of our cosmos. The distant, icy ballet of Uranus and the gushing waters of New Zealand's hydropower infrastructure remind us of the uncharted frontiers that await our exploration, beckoning us to embrace the delightful surprises that await amidst the cosmic expanse.

While our findings lend themselves to speculation and contemplation, it is essential to acknowledge the limitations of our study. Correlation, as we are reminded time and again, does not imply causation. The tantalizing correlation we have unearthed must be met with a healthy dose of skepticism and further scrutiny, lest we succumb to the allure of cosmic serendipity.

In light of these considerations, we assert that our investigation has navigated the realms of whimsy and scientific rigor, illuminating an unexpected correlation that defies conventional expectations. We implore future researchers to tread the cosmic pathways with cautious skepticism, bearing in mind the perplexing interplay of celestial distances and earthly endeavors.

In closing, we declare, with a hint of whimsy and a touch of scientific sobriety, that no further research is needed in this captivating, albeit perplexing, realm of cosmic-terrestrial intrigue. The universe has once again reminded us of its playful enigma, and we stand ready to embrace the marvels and mysteries that lie beyond the familiar confines of our terrestrial abode.

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 The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Extraterrestrial Energy Research

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 The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Planetary Energy Research (IPER)

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 The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand with an abstract of In this paper, we explore the tangentially related concepts of celestial distances and earthly energy, investigating the peculiar relationship between the distance from Uranus to the Sun and hydropower energy generation in the picturesque land of New Zealand. Leveraging data sources such as Astropy for astronomical calculations and the Energy Information Administration for energy production figures, our research team embarked on a cosmic journey to unravel this enigmatic bond. Our analysis, covering the years 1980 to 2021, revealed a robust and statistically significant correlation coefficient of 0.7210869, with a p-value less than 0.01. The implications of these findings, while likely of little practical value, invite us to ponder the curious interplay of interplanetary dynamics and terrestrial pursuits. Amidst the vast expanse of space, it appears that the whims of Uranus exert a peculiar influence on the flow of hydroelectric currents in the verdant landscapes of New Zealand.

ChatGPT:

Uranus-Sun distance, hydropower generation, New Zealand, celestial distances, energy production, Astropy, Energy Information Administration, interplanetary dynamics, terrestrial pursuits, hydropower energy, Uranus influence, hydroelectric currents, interplay of celestial and earthly phenomena

*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 Sun
Detailed 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: ^{See full details} 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

Hydopower energy generated in New Zealand
Detailed data title: Total hydopower energy generated in New Zealand in billion kWh
Source: Energy Information Administration
See what else correlates with Hydopower energy generated in New Zealand

Correlation r = 0.7210869 (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 = 0.5199663 (Coefficient of determination)
This means 52% of the change in the one variable (i.e., Hydopower energy generated 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 7.2E-8.^Show 0.0000000718704299731345700000
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 0.72 in 7.2E-6% of random cases. Said differently, if you correlated 13,913,928 random variables^Note You don't actually need 13 million 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, ^Note 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.

[ 0.53, 0.84 ] 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.

	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
Hydopower energy generated in New Zealand (Billion kWh)	19.171	19.483	18.121	19.554	20.173	19.5108	21.8767	21.7093	22.733	22.3333	22.9534	22.6655	20.8817	23.258	25.5787	27.2594	25.9211	23.0256	25.0661	22.6903	24.1906	21.4644	24.6243	23.3866	26.9677	23.0943	23.3375	23.4041	22.1239	23.9753	24.4792	24.8596	22.6677	22.7988	24.0749	24.2846	25.6757	24.9241	25.992	25.3427	24.0255	23.981

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([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([19.171,19.483,18.121,19.554,20.173,19.5108,21.8767,21.7093,22.733,22.3333,22.9534,22.6655,20.8817,23.258,25.5787,27.2594,25.9211,23.0256,25.0661,22.6903,24.1906,21.4644,24.6243,23.3866,26.9677,23.0943,23.3375,23.4041,22.1239,23.9753,24.4792,24.8596,22.6677,22.7988,24.0749,24.2846,25.6757,24.9241,25.992,25.3427,24.0255,23.981,])
array_1_name = "The distance between Uranus and the Sun"
array_2_name = "Hydopower energy generated 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. ^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 The distance between Uranus and the Sun
Line chart for only Hydopower energy generated in New Zealand
AI-generated correlation image
The spurious research paper: The Solar System's Watery Connection: Uranus-Sun Distance and Hydropower Generation in New Zealand

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Correlation ID: 3873 · Black Variable ID: 1934 · Red Variable ID: 23856


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