Download png, svg
AI explanation
As the gap widened, Neptune's gravitational pull inadvertently tugged on the Earth's crust, creating slightly more geothermal activity in Kenya. This led to a boost in geothermal power production, proving that even interplanetary spacing can't resist the allure of renewable energy! So, next time someone talks about astronomical distances, just remember, it may be the hidden key to unlocking Earth's energy potential. Who knew that our planetary neighbors were low-key influencers in the world of electricity generation! Keep an eye on the skies, folks – it seems like space truly is the hottest new frontier for Earth's power needs!
Model: dalle-3
Prompt: Generate an image of a dramatic cosmic landscape showing Neptune and Uranus drifting further apart, with Earth being influenced by their gravitational forces. The Earth's tectonic plates are shown shifting, resulting in increased volcanic activity in Kenya. Focusing on this region, include a visual of power plants harnessing geothermal energy amidst the volcanic landscapes. The overall scene should capture the grandeur of the cosmic system and the simultaneous energy production on Earth. 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 Neptune and Uranus and Geothermal power generated in Kenya. 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: Glitch art Pop art Cyber folk Realistic Whimsical illustration
ChatGPT: Realistic
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 Neptune and Uranus and Geothermal power generated in Kenya, in the following situation: Because as the distance between Neptune and Uranus increases, their gravitational pull on the Earth also increases, causing a shift in tectonic plates. This shift results in an increase in volcanic activity in Kenya, leading to higher geothermal power generation. So, the farther Neptune and Uranus move apart, the more energy Kenya gets from deep within the Earth.. Keep the description simple.
ChatGPT: Picture a vast cosmic system where Neptune and Uranus are slowly drifting apart, creating a widening gap between them. As they distance themselves, the Earth feels a stronger gravitational pull, causing the tectonic plates to shift. This leads to an upsurge in volcanic activity in Kenya. Amongst the volcanic landscapes, you see power plants generating geothermal energy, harnessing the Earth's heat to produce electricity for the region.
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: [ Realistic ] and depicting this scene: Picture a vast cosmic system where Neptune and Uranus are slowly drifting apart, creating a widening gap between them. As they distance themselves, the Earth feels a stronger gravitational pull, causing the tectonic plates to shift. This leads to an upsurge in volcanic activity in Kenya. Amongst the volcanic landscapes, you see power plants generating geothermal energy, harnessing the Earth's heat to produce electricity for the region. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a dramatic cosmic landscape showing Neptune and Uranus drifting further apart, with Earth being influenced by their gravitational forces. The Earth's tectonic plates are shown shifting, resulting in increased volcanic activity in Kenya. Focusing on this region, include a visual of power plants harnessing geothermal energy amidst the volcanic landscapes. The overall scene should capture the grandeur of the cosmic system and the simultaneous energy production on Earth.
*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 Neptune and Uranus caused Geothermal power generated in Kenya to increase.
AI academic paper
 |
Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya The Journal of Interplanetary Energy Dynamics Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and Geothermal power generated in Kenya. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Include a pun in the title.
Your research team used data from Caclculated using Astropy and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9163591 and p < 0.01 for 1981 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]]
"Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya"
[[ABSTRACT]]
This study delves into the intriguing connection between celestial bodies and terrestrial energy production, specifically focusing on the relationship between the distance separating Neptune and Uranus and the geothermal power generated in Kenya. Leveraging data from Astropy for astronomical calculations and the Energy Information Administration for geothermal production, our research team unearthed a correlation coefficient of 0.9163591, coupled with a p-value of less than 0.01, for the time span encompassing 1981 to 2021. While causation remains a mystery worthy of further investigation, these findings shed light on the cosmic dance of planets and its potential influence on earthly energy sources. The implications of our discovery prompt contemplation and curiosity, as we ponder whether the gravitational tango of Neptune and Uranus holds sway over the molten might of geothermal power in Kenya.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and Geothermal power generated in Kenya. 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.
Here is the title and abstract of the paper:
[[TITLE]]
"Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya"
[[ABSTRACT]]
This study delves into the intriguing connection between celestial bodies and terrestrial energy production, specifically focusing on the relationship between the distance separating Neptune and Uranus and the geothermal power generated in Kenya. Leveraging data from Astropy for astronomical calculations and the Energy Information Administration for geothermal production, our research team unearthed a correlation coefficient of 0.9163591, coupled with a p-value of less than 0.01, for the time span encompassing 1981 to 2021. While causation remains a mystery worthy of further investigation, these findings shed light on the cosmic dance of planets and its potential influence on earthly energy sources. The implications of our discovery prompt contemplation and curiosity, as we ponder whether the gravitational tango of Neptune and Uranus holds sway over the molten might of geothermal power in Kenya.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
The utilization of geothermal energy, derived from the Earth's heat, has become an increasingly important source of renewable power. The inherently boundless reservoirs of geothermal energy have piqued the interest of researchers and policymakers alike, leading to a burgeoning interest in understanding the factors that influence its production. However, while scientific inquiry has traditionally focused on geological and geographical parameters as primary determinants of geothermal potential, a novel line of investigation has emerged, one that gazes heavenward for answers.
The guise of planetary science, usually the domain of astronomers and cosmologists, has intersected with the realm of geothermal energy production. Specifically, this study embarked on an endeavor to discern the correlation, if any, between the distance separating the celestial bodies Neptune and Uranus and the generation of geothermal power in the East African nation of Kenya. This seemingly improbable link between astronomical distances and terrestrial energy production stands as the lodestar of our investigation, drawing from the inexhaustible well of curiosity that fuels scientific exploration.
The rationale for this inquiry rests on the principle that celestial dynamics, particularly the gravitational interplay between distant planets, may exert a subtle yet significant influence on Earth's geophysical phenomena. While the notion of planets orchestrating the production of geothermal energy may initially evoke skepticism, our analysis promises to unravel the web of connections that tie together the cosmic ballet and earthly energy resources.
As we delve into the depths of this cosmic enigma, it is imperative to acknowledge the skepticism and perhaps bemusement that may accompany such an unconventional pursuit. However, the frontiers of scientific exploration have often been marked by the unexpected and the counterintuitive, and it is with a blend of gravitas and mirth that we venture forth to unravel the mysteries that await.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and Geothermal power generated in Kenya. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.
Here is the title and abstract of the paper:
[[TITLE]]
"Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya"
[[ABSTRACT]]
This study delves into the intriguing connection between celestial bodies and terrestrial energy production, specifically focusing on the relationship between the distance separating Neptune and Uranus and the geothermal power generated in Kenya. Leveraging data from Astropy for astronomical calculations and the Energy Information Administration for geothermal production, our research team unearthed a correlation coefficient of 0.9163591, coupled with a p-value of less than 0.01, for the time span encompassing 1981 to 2021. While causation remains a mystery worthy of further investigation, these findings shed light on the cosmic dance of planets and its potential influence on earthly energy sources. The implications of our discovery prompt contemplation and curiosity, as we ponder whether the gravitational tango of Neptune and Uranus holds sway over the molten might of geothermal power in Kenya.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The utilization of geothermal energy, derived from the Earth's heat, has become an increasingly important source of renewable power. The inherently boundless reservoirs of geothermal energy have piqued the interest of researchers and policymakers alike, leading to a burgeoning interest in understanding the factors that influence its production. However, while scientific inquiry has traditionally focused on geological and geographical parameters as primary determinants of geothermal potential, a novel line of investigation has emerged, one that gazes heavenward for answers.
The guise of planetary science, usually the domain of astronomers and cosmologists, has intersected with the realm of geothermal energy production. Specifically, this study embarked on an endeavor to discern the correlation, if any, between the distance separating the celestial bodies Neptune and Uranus and the generation of geothermal power in the East African nation of Kenya. This seemingly improbable link between astronomical distances and terrestrial energy production stands as the lodestar of our investigation, drawing from the inexhaustible well of curiosity that fuels scientific exploration.
The rationale for this inquiry rests on the principle that celestial dynamics, particularly the gravitational interplay between distant planets, may exert a subtle yet significant influence on Earth's geophysical phenomena. While the notion of planets orchestrating the production of geothermal energy may initially evoke skepticism, our analysis promises to unravel the web of connections that tie together the cosmic ballet and earthly energy resources.
As we delve into the depths of this cosmic enigma, it is imperative to acknowledge the skepticism and perhaps bemusement that may accompany such an unconventional pursuit. However, the frontiers of scientific exploration have often been marked by the unexpected and the counterintuitive, and it is with a blend of gravitas and mirth that we venture forth to unravel the mysteries that await.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The quest to understand the mysterious and uncanny connection between the distance separating Neptune and Uranus and the generation of geothermal power in Kenya has led researchers down a curious path, marked by a blend of scientific rigor and whimsical speculation. This literature review encompasses a wide array of sources, ranging from serious scientific studies to more lighthearted and unconventional avenues of inquiry.
Smith and Doe (2017) examined the gravitational dynamics of the outer solar system and their potential impact on terrestrial geothermal activity. Their study, rooted in astrophysical principles, posited a theoretical framework for the influence of planetary distances on Earth's internal heat. Similarly, Jones et al. (2019) delved into the orbital mechanics of gas giants and their hypothetical resonance with geothermal hotspots, offering tantalizing conjectures on the celestial origins of earthly energy.
On the more terrestrial front, "Geothermal Energy: An Earthly Perspective" by Geoscientist et al. (2015) provided a comprehensive overview of geothermal resources and their geological underpinnings. This scholarly work laid the groundwork for understanding the intricate interplay between the planet's internal heat and its surface manifestations, setting the stage for our astral exploration of geothermal dynamics.
It is also worth noting the intersection of fiction and reality in the realm of celestial influences on terrestrial phenomena. Works such as "Cosmic Energies: Transcending Planetary Boundaries" by Space Enthusiast (2018) probe the speculative realms of cosmic energy transfer, blurring the lines between scientific inquiry and imaginative musings. Additionally, "Stars, Planets, and Power: The Celestial Gazetteer" by Astrologer (2016) offers a provocative take on the cosmic forces shaping earthly power dynamics, albeit within the context of astrology rather than astrophysics.
In a departure from conventional sources, this review also draws insights from unorthodox avenues of investigation. The perusal of fictional narratives, such as "The Geothermal Gambit: A Planetary Paradox" by Sci-Fi Writer (2014), unveils the imaginative terrain where planetary distances and geothermal prowess meld into a tapestry of otherworldly intrigue.
In a daring departure from scholarly convention, this investigation delved into the seemingly uncharted realm of unconventional sources. The back of shampoo bottles, inscribed with cryptic messages about "renewed energy and planetary balance," offered an unexpected blend of humor and cosmic contemplation, prompting a chuckle amidst the weighty pursuit of knowledge.
While the inclusion of unconventional sources may raise eyebrows within the orthodox confines of academic discourse, it is a testament to the boundless curiosity and unyielding quest for knowledge that propels this investigation. In the spirit of scientific inquiry, we have cast a wide net, embracing the spectrum of serious scholarship, imaginative speculation, and even the whimsical allure of unconventional wisdom.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and Geothermal power generated in Kenya. 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 1981 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]]
"Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya"
[[ABSTRACT]]
This study delves into the intriguing connection between celestial bodies and terrestrial energy production, specifically focusing on the relationship between the distance separating Neptune and Uranus and the geothermal power generated in Kenya. Leveraging data from Astropy for astronomical calculations and the Energy Information Administration for geothermal production, our research team unearthed a correlation coefficient of 0.9163591, coupled with a p-value of less than 0.01, for the time span encompassing 1981 to 2021. While causation remains a mystery worthy of further investigation, these findings shed light on the cosmic dance of planets and its potential influence on earthly energy sources. The implications of our discovery prompt contemplation and curiosity, as we ponder whether the gravitational tango of Neptune and Uranus holds sway over the molten might of geothermal power in Kenya.
[[INTRODUCTION]]
INTRODUCTION
The utilization of geothermal energy, derived from the Earth's heat, has become an increasingly important source of renewable power. The inherently boundless reservoirs of geothermal energy have piqued the interest of researchers and policymakers alike, leading to a burgeoning interest in understanding the factors that influence its production. However, while scientific inquiry has traditionally focused on geological and geographical parameters as primary determinants of geothermal potential, a novel line of investigation has emerged, one that gazes heavenward for answers.
The guise of planetary science, usually the domain of astronomers and cosmologists, has intersected with the realm of geothermal energy production. Specifically, this study embarked on an endeavor to discern the correlation, if any, between the distance separating the celestial bodies Neptune and Uranus and the generation of geothermal power in the East African nation of Kenya. This seemingly improbable link between astronomical distances and terrestrial energy production stands as the lodestar of our investigation, drawing from the inexhaustible well of curiosity that fuels scientific exploration.
The rationale for this inquiry rests on the principle that celestial dynamics, particularly the gravitational interplay between distant planets, may exert a subtle yet significant influence on Earth's geophysical phenomena. While the notion of planets orchestrating the production of geothermal energy may initially evoke skepticism, our analysis promises to unravel the web of connections that tie together the cosmic ballet and earthly energy resources.
As we delve into the depths of this cosmic enigma, it is imperative to acknowledge the skepticism and perhaps bemusement that may accompany such an unconventional pursuit. However, the frontiers of scientific exploration have often been marked by the unexpected and the counterintuitive, and it is with a blend of gravitas and mirth that we venture forth to unravel the mysteries that await.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
METHODOLOGY
Sample Selection and Data Collection
To explore the potential connection between the celestial dance of Neptune and Uranus and the terrestrial output of geothermal power in Kenya, our research team journeyed through the virtual cosmos of the internet, scavenging for nuggets of data gold. Utilizing a combination of advanced search algorithms and sheer perseverance, we combed through various repositories, with a nod of appreciation to Astropy and the Energy Information Administration for their indispensable contributions. The dataset, spanning the years 1981 to 2021, comprised information on the distances between Neptune and Uranus, as well as geothermal power production figures in Kenya.
Calculating Celestial Distances
For the celestial component of our investigation, Astropy was our trusty guide, leading us through the labyrinth of astronomical computations. The distances between Neptune and Uranus, crucial for our celestial meddling, were meticulously acquired through precise celestial mechanics and not-so-precise finger-crossing. After all, when dealing with the vast expanses of outer space, a sprinkle of cosmic luck never hurt anyone.
Unearthing Geothermal Power Figures
Our quest for geothermal power production data in Kenya led us to the lair of the Energy Information Administration, where we beckoned forth the numerical representations of terrestrial heat transmutation. The figures, though devoid of the celestial allure, held the potential to illuminate the terrestrial side of our cosmic conundrum.
Data Wrangling and Statistical Sorcery
With our hands full of celestial distances and terrestrial power production, we embarked on the ritualistic dance of data wrangling. Taming the wild numbers into obedient formations, we subjected them to the arcane arts of statistical analysis. Employing correlation coefficients and p-values as our enchanting tools, we sought to discern the tangled web of connections between the celestial and the terrestrial.
Correlating Celestial Magnitudes and Terrestrial Energies
The crux of our methodology entailed unearthing the numerical harmony between the chasmic expanse separating Neptune and Uranus and the geothermal might coursing through Kenya. Through rigorous statistical analysis, we sought to unveil the entwined influences of these disparate realms and determine if the cosmic symphony indeed resonated with earthly energies.
Limitations and Caveats
Amidst our scholarly sojourn, it is imperative to acknowledge the peculiarities and potential pitfalls that accompany such an interdisciplinary escapade. The marriage of celestial mechanics and earthly energy production, while beguiling, necessitates cautious interpretation and a discerning eye. We remain cognizant of the inherent limitations in inferring causality from correlation and the need for corroborative evidence to fortify our findings.
In conclusion, our methodology presents a whimsical blend of celestial acrobatics and terrestrial juggling, culminating in a cosmic exploration that traverses the realms of both wonder and statistical rigor. Through a zigzag of data pursuit and statistical incantations, we endeavored to parse the harmonious chords that may resonate between Neptune and Uranus and the geothermal powers of Kenya, with a sprinkle of humor and a dash of cosmic curiosity.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and Geothermal power generated in Kenya. 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 .
For the time period 1981 to 2021, you found a correlation 0.9163591, r-squared of 0.8397140, 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]]
"Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya"
[[ABSTRACT]]
This study delves into the intriguing connection between celestial bodies and terrestrial energy production, specifically focusing on the relationship between the distance separating Neptune and Uranus and the geothermal power generated in Kenya. Leveraging data from Astropy for astronomical calculations and the Energy Information Administration for geothermal production, our research team unearthed a correlation coefficient of 0.9163591, coupled with a p-value of less than 0.01, for the time span encompassing 1981 to 2021. While causation remains a mystery worthy of further investigation, these findings shed light on the cosmic dance of planets and its potential influence on earthly energy sources. The implications of our discovery prompt contemplation and curiosity, as we ponder whether the gravitational tango of Neptune and Uranus holds sway over the molten might of geothermal power in Kenya.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The utilization of geothermal energy, derived from the Earth's heat, has become an increasingly important source of renewable power. The inherently boundless reservoirs of geothermal energy have piqued the interest of researchers and policymakers alike, leading to a burgeoning interest in understanding the factors that influence its production. However, while scientific inquiry has traditionally focused on geological and geographical parameters as primary determinants of geothermal potential, a novel line of investigation has emerged, one that gazes heavenward for answers.
The guise of planetary science, usually the domain of astronomers and cosmologists, has intersected with the realm of geothermal energy production. Specifically, this study embarked on an endeavor to discern the correlation, if any, between the distance separating the celestial bodies Neptune and Uranus and the generation of geothermal power in the East African nation of Kenya. This seemingly improbable link between astronomical distances and terrestrial energy production stands as the lodestar of our investigation, drawing from the inexhaustible well of curiosity that fuels scientific exploration.
The rationale for this inquiry rests on the principle that celestial dynamics, particularly the gravitational interplay between distant planets, may exert a subtle yet significant influence on Earth's geophysical phenomena. While the notion of planets orchestrating the production of geothermal energy may initially evoke skepticism, our analysis promises to unravel the web of connections that tie together the cosmic ballet and earthly energy resources.
As we delve into the depths of this cosmic enigma, it is imperative to acknowledge the skepticism and perhaps bemusement that may accompany such an unconventional pursuit. However, the frontiers of scientific exploration have often been marked by the unexpected and the counterintuitive, and it is with a blend of gravitas and mirth that we venture forth to unravel the mysteries that await.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Upon conducting our rigorous statistical analysis, we found a remarkably strong correlation between the distance separating Neptune and Uranus and the generation of geothermal power in Kenya. The correlation coefficient of 0.9163591 and the r-squared value of 0.8397140 strongly indicate a robust relationship between these seemingly disparate phenomena. With a p-value of less than 0.01, the association observed is highly significant, prompting us to scrutinize the planetary dynamics with newfound interest.
Figure 1 illustrates the scatterplot displaying the compelling correlation between the distance between Neptune and Uranus and the geothermal power generated in Kenya. The data points form a clear, positively sloped trendline, emphasizing the intriguing alignment between these celestial and terrestrial variables.
While the striking correlation we unearthed captures attention, it is important to exercise caution in attributing causality. Nevertheless, the strength of the relationship espouses the need for deeper exploration into the potential mechanisms underlying this cosmic influence on earthly energy generation.
The implications of our findings transcend the conventional boundaries of scientific inquiry, leading us to contemplate the interconnectedness of interstellar dynamics and geothermal phenomena. As we walk the line between skepticism and intellectual curiosity, we are reminded of the whimsical dance of celestial bodies and the terrestrial manifestations of their gravitational tugs, hinting at an intricate celestial symphony influencing the earthly stage.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and Geothermal power generated in Kenya. 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]]
"Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya"
[[ABSTRACT]]
This study delves into the intriguing connection between celestial bodies and terrestrial energy production, specifically focusing on the relationship between the distance separating Neptune and Uranus and the geothermal power generated in Kenya. Leveraging data from Astropy for astronomical calculations and the Energy Information Administration for geothermal production, our research team unearthed a correlation coefficient of 0.9163591, coupled with a p-value of less than 0.01, for the time span encompassing 1981 to 2021. While causation remains a mystery worthy of further investigation, these findings shed light on the cosmic dance of planets and its potential influence on earthly energy sources. The implications of our discovery prompt contemplation and curiosity, as we ponder whether the gravitational tango of Neptune and Uranus holds sway over the molten might of geothermal power in Kenya.
[[LITERATURE REVIEW]]
The quest to understand the mysterious and uncanny connection between the distance separating Neptune and Uranus and the generation of geothermal power in Kenya has led researchers down a curious path, marked by a blend of scientific rigor and whimsical speculation. This literature review encompasses a wide array of sources, ranging from serious scientific studies to more lighthearted and unconventional avenues of inquiry.
Smith and Doe (2017) examined the gravitational dynamics of the outer solar system and their potential impact on terrestrial geothermal activity. Their study, rooted in astrophysical principles, posited a theoretical framework for the influence of planetary distances on Earth's internal heat. Similarly, Jones et al. (2019) delved into the orbital mechanics of gas giants and their hypothetical resonance with geothermal hotspots, offering tantalizing conjectures on the celestial origins of earthly energy.
On the more terrestrial front, "Geothermal Energy: An Earthly Perspective" by Geoscientist et al. (2015) provided a comprehensive overview of geothermal resources and their geological underpinnings. This scholarly work laid the groundwork for understanding the intricate interplay between the planet's internal heat and its surface manifestations, setting the stage for our astral exploration of geothermal dynamics.
It is also worth noting the intersection of fiction and reality in the realm of celestial influences on terrestrial phenomena. Works such as "Cosmic Energies: Transcending Planetary Boundaries" by Space Enthusiast (2018) probe the speculative realms of cosmic energy transfer, blurring the lines between scientific inquiry and imaginative musings. Additionally, "Stars, Planets, and Power: The Celestial Gazetteer" by Astrologer (2016) offers a provocative take on the cosmic forces shaping earthly power dynamics, albeit within the context of astrology rather than astrophysics.
In a departure from conventional sources, this review also draws insights from unorthodox avenues of investigation. The perusal of fictional narratives, such as "The Geothermal Gambit: A Planetary Paradox" by Sci-Fi Writer (2014), unveils the imaginative terrain where planetary distances and geothermal prowess meld into a tapestry of otherworldly intrigue.
In a daring departure from scholarly convention, this investigation delved into the seemingly uncharted realm of unconventional sources. The back of shampoo bottles, inscribed with cryptic messages about "renewed energy and planetary balance," offered an unexpected blend of humor and cosmic contemplation, prompting a chuckle amidst the weighty pursuit of knowledge.
While the inclusion of unconventional sources may raise eyebrows within the orthodox confines of academic discourse, it is a testament to the boundless curiosity and unyielding quest for knowledge that propels this investigation. In the spirit of scientific inquiry, we have cast a wide net, embracing the spectrum of serious scholarship, imaginative speculation, and even the whimsical allure of unconventional wisdom.
[[RESULTS]]
Upon conducting our rigorous statistical analysis, we found a remarkably strong correlation between the distance separating Neptune and Uranus and the generation of geothermal power in Kenya. The correlation coefficient of 0.9163591 and the r-squared value of 0.8397140 strongly indicate a robust relationship between these seemingly disparate phenomena. With a p-value of less than 0.01, the association observed is highly significant, prompting us to scrutinize the planetary dynamics with newfound interest.
Figure 1 illustrates the scatterplot displaying the compelling correlation between the distance between Neptune and Uranus and the geothermal power generated in Kenya. The data points form a clear, positively sloped trendline, emphasizing the intriguing alignment between these celestial and terrestrial variables.
While the striking correlation we unearthed captures attention, it is important to exercise caution in attributing causality. Nevertheless, the strength of the relationship espouses the need for deeper exploration into the potential mechanisms underlying this cosmic influence on earthly energy generation.
The implications of our findings transcend the conventional boundaries of scientific inquiry, leading us to contemplate the interconnectedness of interstellar dynamics and geothermal phenomena. As we walk the line between skepticism and intellectual curiosity, we are reminded of the whimsical dance of celestial bodies and the terrestrial manifestations of their gravitational tugs, hinting at an intricate celestial symphony influencing the earthly stage.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The crux of our study lies in the unusual yet fascinating correlation between the distance separating Neptune and Uranus and the generation of geothermal power in Kenya. Our findings, supported by a robust correlation coefficient and a p-value of statistical significance, have unveiled a peculiar association that begs further exploration.
Drawing from the literature review, we navigate a landscape that encompasses both traditional scientific inquiry and more unconventional perspectives. The whimsical notion of planetary distances influencing earthly energy production, initially a subject of lighthearted speculation, has emerged as a tangible thread of investigation. Indeed, the theoretical frameworks proposed by Smith and Doe (2017) and the tantalizing conjectures advanced by Jones et al. (2019) have found empirical validation through our research. The celestial dance of Neptune and Uranus, which may have elicited playful speculation in the past, now beckons serious scrutiny as we grapple with its implications for terrestrial energy dynamics.
Amidst the scholarly texts and imaginative musings, the inclusion of unconventional sources, such as the back of shampoo bottles, sparks moments of levity in the pursuit of knowledge. Yet, as we sift through the amalgam of serious scholarship, speculative writings, and unexpected sources, we are reminded of the kaleidoscopic nature of inquiry and the unexpected directions from which insights may emerge.
Our results serve as a testament to the curious intersections of science and whimsy, grounding the nebulous musings of fiction and humor in empirical evidence. The unforeseen synergy between esoteric celestial dynamics and earthly geothermal power begs us to reconsider the boundaries of scientific exploration and to embrace the unexpected as an avenue to discovery. As we navigate this curious terrain, we remain cognizant of the spectrum of perspectives that enrich our understanding, reminding ourselves that the pursuit of knowledge need not always adhere to the rigidity of convention.
In the stark illumination of our findings, we are beckoned to contemplate the cosmic symphony that may influence terrestrial phenomena, urging a harmonious interplay of scientific rigor and imaginative contemplation. Our journey transcends the mundane and ventures into the whimsical, where the gravitational tugs of distant planets intertwine with the molten might of geothermal power, crafting an intriguing narrative of interstellar intrigue and terrestrial consequence.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and Geothermal power generated in Kenya. 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]]
"Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya"
[[ABSTRACT]]
This study delves into the intriguing connection between celestial bodies and terrestrial energy production, specifically focusing on the relationship between the distance separating Neptune and Uranus and the geothermal power generated in Kenya. Leveraging data from Astropy for astronomical calculations and the Energy Information Administration for geothermal production, our research team unearthed a correlation coefficient of 0.9163591, coupled with a p-value of less than 0.01, for the time span encompassing 1981 to 2021. While causation remains a mystery worthy of further investigation, these findings shed light on the cosmic dance of planets and its potential influence on earthly energy sources. The implications of our discovery prompt contemplation and curiosity, as we ponder whether the gravitational tango of Neptune and Uranus holds sway over the molten might of geothermal power in Kenya.
[[INTRDUCTION]]
INTRODUCTION
The utilization of geothermal energy, derived from the Earth's heat, has become an increasingly important source of renewable power. The inherently boundless reservoirs of geothermal energy have piqued the interest of researchers and policymakers alike, leading to a burgeoning interest in understanding the factors that influence its production. However, while scientific inquiry has traditionally focused on geological and geographical parameters as primary determinants of geothermal potential, a novel line of investigation has emerged, one that gazes heavenward for answers.
The guise of planetary science, usually the domain of astronomers and cosmologists, has intersected with the realm of geothermal energy production. Specifically, this study embarked on an endeavor to discern the correlation, if any, between the distance separating the celestial bodies Neptune and Uranus and the generation of geothermal power in the East African nation of Kenya. This seemingly improbable link between astronomical distances and terrestrial energy production stands as the lodestar of our investigation, drawing from the inexhaustible well of curiosity that fuels scientific exploration.
The rationale for this inquiry rests on the principle that celestial dynamics, particularly the gravitational interplay between distant planets, may exert a subtle yet significant influence on Earth's geophysical phenomena. While the notion of planets orchestrating the production of geothermal energy may initially evoke skepticism, our analysis promises to unravel the web of connections that tie together the cosmic ballet and earthly energy resources.
As we delve into the depths of this cosmic enigma, it is imperative to acknowledge the skepticism and perhaps bemusement that may accompany such an unconventional pursuit. However, the frontiers of scientific exploration have often been marked by the unexpected and the counterintuitive, and it is with a blend of gravitas and mirth that we venture forth to unravel the mysteries that await.
[[RESULTS]]
Upon conducting our rigorous statistical analysis, we found a remarkably strong correlation between the distance separating Neptune and Uranus and the generation of geothermal power in Kenya. The correlation coefficient of 0.9163591 and the r-squared value of 0.8397140 strongly indicate a robust relationship between these seemingly disparate phenomena. With a p-value of less than 0.01, the association observed is highly significant, prompting us to scrutinize the planetary dynamics with newfound interest.
Figure 1 illustrates the scatterplot displaying the compelling correlation between the distance between Neptune and Uranus and the geothermal power generated in Kenya. The data points form a clear, positively sloped trendline, emphasizing the intriguing alignment between these celestial and terrestrial variables.
While the striking correlation we unearthed captures attention, it is important to exercise caution in attributing causality. Nevertheless, the strength of the relationship espouses the need for deeper exploration into the potential mechanisms underlying this cosmic influence on earthly energy generation.
The implications of our findings transcend the conventional boundaries of scientific inquiry, leading us to contemplate the interconnectedness of interstellar dynamics and geothermal phenomena. As we walk the line between skepticism and intellectual curiosity, we are reminded of the whimsical dance of celestial bodies and the terrestrial manifestations of their gravitational tugs, hinting at an intricate celestial symphony influencing the earthly stage.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
CONCLUSION
In conclusion, our investigation into the relationship between the distance separating Neptune and Uranus and the generation of geothermal power in Kenya has unveiled a compelling correlation, despite the seemingly extraterrestrial nature of the inquiry. The robust correlation coefficient of 0.9163591, coupled with the minuscule p-value, underscores the potency of the association observed. While our findings beckon further contemplation, it must be acknowledged that correlation does not necessarily imply causation. The implications of our discovery prompt a whimsical contemplation of celestial orchestration over earthly energy resources, challenging traditional paradigms of influence.
As we tread the ethereal line between astronomical incredulity and empirical rigor, the cosmic intrigue that underpins our findings elicits both scholarly rigor and a faint chuckle at the cosmic whimsy entwined within them. The gravitational tango of Neptune and Uranus may hold more sway over Earth's molten might than previously conceived, beckoning us to acknowledge the cosmic ballet unfolding above. With this, we assert that no further research is needed in this area.
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 Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Interplanetary Energy Dynamics
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 Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya. Respond only with the name of a fictional organization.
ChatGPT:
Society for Planetary Energy Dynamics Research
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya with an abstract of This study delves into the intriguing connection between celestial bodies and terrestrial energy production, specifically focusing on the relationship between the distance separating Neptune and Uranus and the geothermal power generated in Kenya. Leveraging data from Astropy for astronomical calculations and the Energy Information Administration for geothermal production, our research team unearthed a correlation coefficient of 0.9163591, coupled with a p-value of less than 0.01, for the time span encompassing 1981 to 2021. While causation remains a mystery worthy of further investigation, these findings shed light on the cosmic dance of planets and its potential influence on earthly energy sources. The implications of our discovery prompt contemplation and curiosity, as we ponder whether the gravitational tango of Neptune and Uranus holds sway over the molten might of geothermal power in Kenya.
ChatGPT:
Neptune, Uranus, celestial bodies, geothermal energy production, Kenya, correlation, astronomical calculations, Astropy, Energy Information Administration, correlation coefficient, p-value, 1981-2021, gravitational influence, planetary positions, geothermal power, planetary distance
*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 Neptune and UranusDetailed data title: The average distance between Neptune and Uranus 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 Neptune and Uranus
Geothermal power generated in Kenya
Detailed data title: Total geothermal power generated in Kenya in billion kWh
Source: Energy Information Administration
See what else correlates with Geothermal power generated in Kenya
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 = 0.8397140 (Coefficient of determination)
This means 84% of the change in the one variable (i.e., Geothermal power generated in Kenya) is predictable based on the change in the other (i.e., The distance between Neptune and Uranus) over the 41 years from 1981 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.3E-17. 0.0000000000000000431540283473
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 0.92 in 4.3E-15% of random cases. Said differently, if you correlated 23,172,807,691,372,028 random variables You don't actually need 23 quadrillion 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 40 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 40 because we have two variables measured over a period of 41 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.
[ 0.85, 0.95 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 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 Neptune and Uranus (Planetary distance (AU)) | 15.4436 | 14.7933 | 14.175 | 13.5911 | 13.0478 | 12.5485 | 12.0969 | 11.6964 | 11.3526 | 11.0685 | 10.8468 | 10.6896 | 10.5984 | 10.5729 | 10.6118 | 10.7129 | 10.8724 | 11.0862 | 11.3499 | 11.6596 | 12.0092 | 12.3947 | 12.8119 | 13.2579 | 13.7275 | 14.218 | 14.727 | 15.2532 | 15.7925 | 16.3438 | 16.906 | 17.4791 | 18.0597 | 18.6476 | 19.2423 | 19.8443 | 20.4507 | 21.0616 | 21.6768 | 22.2973 | 22.9204 |
| Geothermal power generated in Kenya (Billion kWh) | 0.037 | 0.091 | 0.248 | 0.22 | 0.318 | 0.368 | 0.359 | 0.323 | 0.323 | 0.326 | 0.297 | 0.272 | 0.272 | 0.261 | 0.39 | 0.393 | 0.366 | 0.39 | 0.383 | 0.429 | 0.48 | 0.386 | 0.787 | 1.035 | 1.003 | 1.012 | 1.02 | 1.179 | 1.339 | 1.453 | 1.498 | 1.579 | 1.906 | 3.206 | 4.481 | 4.689 | 4.871 | 5.169 | 5.235 | 5.06 | 5.123 |
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. - Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.
- 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([15.4436,14.7933,14.175,13.5911,13.0478,12.5485,12.0969,11.6964,11.3526,11.0685,10.8468,10.6896,10.5984,10.5729,10.6118,10.7129,10.8724,11.0862,11.3499,11.6596,12.0092,12.3947,12.8119,13.2579,13.7275,14.218,14.727,15.2532,15.7925,16.3438,16.906,17.4791,18.0597,18.6476,19.2423,19.8443,20.4507,21.0616,21.6768,22.2973,22.9204,])
array_2 = np.array([0.037,0.091,0.248,0.22,0.318,0.368,0.359,0.323,0.323,0.326,0.297,0.272,0.272,0.261,0.39,0.393,0.366,0.39,0.383,0.429,0.48,0.386,0.787,1.035,1.003,1.012,1.02,1.179,1.339,1.453,1.498,1.579,1.906,3.206,4.481,4.689,4.871,5.169,5.235,5.06,5.123,])
array_1_name = "The distance between Neptune and Uranus"
array_2_name = "Geothermal power generated in Kenya"
# 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.
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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 Neptune and Uranus
- Line chart for only Geothermal power generated in Kenya
- AI-generated correlation image
- The spurious research paper: Planetary Power Play: Exploring the Correlation Between Neptune-Uranus Distance and Geothermal Energy Production in Kenya
Bravo! Your evaluation rocks!
Correlation ID: 3259 · Black Variable ID: 1967 · Red Variable ID: 23767
