Spurious correlation #3,764 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Solar power generated in United Arab Emirates and the second variable is Google searches for 'why do i have a migraine'. The chart goes from 2009 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 Solar power generated in United Arab Emirates and the second variable is Google searches for 'why do i have a migraine'. The chart goes from 2009 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

The increase in solar power generated in the United Arab Emirates is leading to a surge in ultra-bright sunlight being emitted. This intense light is being reflected off the shiny buildings and desert landscapes, creating blinding glares. People are squinting more, which is putting a strain on their eye muscles and triggering migraines. Furthermore, the rise in solar energy production has inadvertently stimulated the production of 'solar-photon-endorphins' in the atmosphere, which, when inhaled, are disrupting brain chemistry and leading to an increase in migraines. But on the bright side, at least the UAE is bringing a whole new meaning to the term 'power trip!'

^{Show image generation prompt} Model: dalle-3
Prompt: Create an image of a Polaroid photo capturing the blazing sunlight over a vast expanse in the United Arab Emirates. Show the radiant solar panels glistening with energy as they harness the intense rays. Present individuals squinting and shielding their faces from the dazzling sunlight, conveying the discomfort caused by the brightness. Also depict people using their phones and computers, furrowing their brows in frustration as they seek answers to their escalating tension headaches, exuding a sense of discomfort and frustration from the overpowering sunlight. 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: Solar power generated in United Arab Emirates and Google searches for 'why do i have a migraine'. 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 Realistic Low poly Psychedelic a Polaroid photo
ChatGPT: A Polaroid photo

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 Solar power generated in United Arab Emirates and Google searches for 'why do i have a migraine', in the following situation: Because the increase in solar power in the United Arab Emirates is giving the sun more energy to shine extra brightly, causing people to squint more and scrunch their faces up, which then leads to tension headaches and ultimately an increase in searches for "why do I have a migraine." It's a bright idea gone awry!. Keep the description simple.
ChatGPT: In the United Arab Emirates, the bright sun shines down, making the solar panels glow with power. People squint and scrunch their faces as they try to shield their eyes from the intense sunlight. Meanwhile, on their phones and computers, they search "why do I have a migraine" as the tension headaches increase.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A Polaroid photo ] and depicting this scene: In the United Arab Emirates, the bright sun shines down, making the solar panels glow with power. People squint and scrunch their faces as they try to shield their eyes from the intense sunlight. Meanwhile, on their phones and computers, they search "why do I have a migraine" as the tension headaches increase. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a Polaroid photo capturing the blazing sunlight over a vast expanse in the United Arab Emirates. Show the radiant solar panels glistening with energy as they harness the intense rays. Present individuals squinting and shielding their faces from the dazzling sunlight, conveying the discomfort caused by the brightness. Also depict people using their phones and computers, furrowing their brows in frustration as they seek answers to their escalating tension headaches, exuding a sense of discomfort and frustration from the overpowering sunlight.

*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 Solar power generated in United Arab Emirates caused why do i have a migraine (Google searches for 'why do i have a migraine') to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)

Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine'

Journal of Solar Psychology

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 Solar power generated in United Arab Emirates and Google searches for 'why do i have a migraine'. 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 some cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine'

[[ABSTRACT]]
In this study, we explore the illuminating connection between the burgeoning solar power generation in the United Arab Emirates and the curious surge in Google searches for 'why do I have a migraine'. With data sourced from the Energy Information Administration and Google Trends, we embarked on the enlightening journey of statistical analysis to uncover the shadowy link between the rays of solar power and the throbbing concerns of headache sufferers. Our findings revealed a remarkably bright correlation coefficient of 0.9661237, with a dazzling p-value of less than 0.01, for the years 2009 to 2021. While our results shed light on this connection, our study also gives rise to numerous questions and possibilities, leaving us to ponder whether the mirage of correlation is just a trick of the light or a radiant insight into the enigmatic relationship between renewable energy and personal health.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of renewable energy and public health has long been a topic of interest among researchers, policymakers, and individuals seeking to understand the holistic impact of energy sources on human well-being. In recent years, the United Arab Emirates (UAE) has made significant strides in the realm of solar power generation, harnessing the potent rays of the sun to illuminate homes, power industries, and, apparently, inspire curious web searches related to headaches. Enter the enigmatic query, "why do I have a migraine," a digital beacon drawing individuals into the virtual realm of ailment-related inquiries while the UAE's solar prowess shines on. It is within this context that we set out to uncover the perhaps unexpected, if not somewhat dazzling, relationship between the two seemingly disparate phenomena.
Our inquiry inevitably led us on a whirlwind journey through data sets, statistical analyses, and a barrage of puns about shedding light on shadowy connections. As we harnessed the power of numbers, we found ourselves straddling the realms of solar physics and the intricacies of human physiology, figuratively basking in the glow of statistical significance and grappling with the shadowy complexities of correlation. Our study, while rooted in the empirical and methodical traditions of research, is not immune to the lighthearted whims of scientific inquiry, much like a solar flare on the surface of a scholarly discourse.
With this paper, we aim to shed light on the compelling correlation between solar power generation and the quest for headache-related answers, all while embracing the illuminating potential of interdisciplinary research. As we delve into the intricacies of our findings, we invite readers to join us on this radiant expedition and, perhaps, emerge with a newfound appreciation for the sunny side of statistical exploration. After all, who knew that solar irradiance and search habits could converge in such a luminous manner?

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The intriguing connection between solar power generation in the UAE and Google searches for "why do I have a migraine" has piqued the curiosity of researchers across various disciplines. Smith et al. (2015) delved into the realms of renewable energy and public health, shedding light on the potential interplay between environmental factors and health outcomes. Their work set the stage for our own investigation into the radiant relationship between solar power and the virtual quest for migraine-related explanations.

Doe and Jones (2019) examined patterns of internet searches related to health concerns, uncovering the ways in which regional variations in environmental factors may influence the virtual queries of individuals seeking medical information. While their study did not specifically focus on solar power, it hinted at the broader implications of environmental influences on online search behavior, serving as a beacon of inspiration for our own research.

In "Renewable Energy and Human Health" by Green (2018), the author explores the physiological and psychological impacts of embracing renewable energy sources, offering insight into the potential health benefits of transitioning away from traditional fossil fuels. This work provided a theoretical backdrop for our investigation, challenging us to consider the luminous effects of solar energy on human well-being beyond mere physical sustenance.

Turning to the realm of fiction, "Solar Flares and Sensory Surprises" by Lightyear (2002) delves into the whimsical world of solar phenomena and their unexpected effects on human perception. While not a scholarly work, this imaginative exploration of the interplay between sunlight and sensory experiences offers a playful contrast to the empirical studies guiding our own inquiry.

Additionally, the animated series "Solar Powered Adventures" and the children's show "The Sunny Search Squad" both feature characters embarking on radiant quests, albeit in entirely different contexts. While these fictional narratives may not directly elucidate the relationship between solar power and migraine-related searches, they serve as reminders of the pervasive influence of sunlight and the human quest for understanding, even in the most unexpected of settings.

With these diverse sources as our guiding lights, we embark on our own radiant expedition into the nexus of solar power generation and the curious virtual exploration of migraine-related queries. As we illuminate the path ahead, we remain ever mindful of the illuminating potential of interdisciplinary research and the unexpected insights that await in the bright corners of scholarly inquiry.

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 Solar power generated in United Arab Emirates and Google searches for 'why do i have a migraine'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Google Trends . You used data from 2009 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]]
Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine'

[[ABSTRACT]]
In this study, we explore the illuminating connection between the burgeoning solar power generation in the United Arab Emirates and the curious surge in Google searches for 'why do I have a migraine'. With data sourced from the Energy Information Administration and Google Trends, we embarked on the enlightening journey of statistical analysis to uncover the shadowy link between the rays of solar power and the throbbing concerns of headache sufferers. Our findings revealed a remarkably bright correlation coefficient of 0.9661237, with a dazzling p-value of less than 0.01, for the years 2009 to 2021. While our results shed light on this connection, our study also gives rise to numerous questions and possibilities, leaving us to ponder whether the mirage of correlation is just a trick of the light or a radiant insight into the enigmatic relationship between renewable energy and personal health.

[[INTRODUCTION]]
The intersection of renewable energy and public health has long been a topic of interest among researchers, policymakers, and individuals seeking to understand the holistic impact of energy sources on human well-being. In recent years, the United Arab Emirates (UAE) has made significant strides in the realm of solar power generation, harnessing the potent rays of the sun to illuminate homes, power industries, and, apparently, inspire curious web searches related to headaches. Enter the enigmatic query, "why do I have a migraine," a digital beacon drawing individuals into the virtual realm of ailment-related inquiries while the UAE's solar prowess shines on. It is within this context that we set out to uncover the perhaps unexpected, if not somewhat dazzling, relationship between the two seemingly disparate phenomena.
Our inquiry inevitably led us on a whirlwind journey through data sets, statistical analyses, and a barrage of puns about shedding light on shadowy connections. As we harnessed the power of numbers, we found ourselves straddling the realms of solar physics and the intricacies of human physiology, figuratively basking in the glow of statistical significance and grappling with the shadowy complexities of correlation. Our study, while rooted in the empirical and methodical traditions of research, is not immune to the lighthearted whims of scientific inquiry, much like a solar flare on the surface of a scholarly discourse.
With this paper, we aim to shed light on the compelling correlation between solar power generation and the quest for headache-related answers, all while embracing the illuminating potential of interdisciplinary research. As we delve into the intricacies of our findings, we invite readers to join us on this radiant expedition and, perhaps, emerge with a newfound appreciation for the sunny side of statistical exploration. After all, who knew that solar irradiance and search habits could converge in such a luminous manner?

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Amidst the swirling currents of data and the radiant glow of statistical analysis, our methodology sought to illuminate the shadowy connection between solar power generation in the United Arab Emirates and the search for answers to throbbing cranial dilemmas. Our quest for methodological rigor began with the procurement of data from two disparate yet curiously complementary sources: the Energy Information Administration (EIA) and the interactive marvel of modern curiosity known as Google Trends.

The EIA, a bastion of energy-related information, provided us with a wealth of data on solar power generation in the United Arab Emirates from 2009 to 2021. We immersed ourselves in the irradiance levels, capacity additions, and photovoltaic installations, basking in the warmth of solar energy data while maintaining a healthy SPF of skepticism.

In parallel, we ventured into the digital labyrinth of Google Trends, where the enigmatic queries for 'why do I have a migraine' awaited us. We engaged in the delicate dance of keyword selection and geographic specificity, ensuring that our exploration of this curious search trend was as robust as a well-engineered solar panel.

With data in hand, we unleashed the formidable powers of statistical analysis, leveraging correlations and time series methods to cast light upon the potential relationship between solar power generation and migraine-related searches. Our statistical toolkit gleamed with the luster of regression models, autoregressive integrated moving average (ARIMA) techniques, and the occasional dash of cross-correlation analysis, akin to a cosmic ballet of numerical acrobatics.

As we delved deeper into our methodological odyssey, we remained vigilant against the perils of spurious correlations, employing rigorous diagnostic tests and model validation procedures to safeguard our findings against the lurking shadows of statistical chicanery. Throughout this process, we maintained a steadfast commitment to transparency and reproducibility, ensuring that our methods, like the photons from the sun, could be scrutinized with the precision of a solar telescope.

Amid the methodological rigors, our team embraced the serendipitous moments of whimsy, acknowledging the illuminating potential of humor in the often sober landscape of research. After all, what is statistical inquiry without the occasional pun about light and enlightenment? In this spirit, our methodology stands as a testament to the dual pursuit of rigor and levity, much like the coexistence of wave-particle duality in the quantum realm.

In the expanse of methods both conventional and quirky, our approach sought to balance the gravity of empirical investigation with the buoyancy of scientific curiosity, much like a solar sail harnessing the gentle pressure of photons. As we unfold the tapestry of our methodology, we invite readers to bask in the glow of our methodological sun, encouraging them to join us in this radiant celebration of interdisciplinary inquiry.

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 Solar power generated in United Arab Emirates and Google searches for 'why do i have a migraine'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine'

[[ABSTRACT]]
In this study, we explore the illuminating connection between the burgeoning solar power generation in the United Arab Emirates and the curious surge in Google searches for 'why do I have a migraine'. With data sourced from the Energy Information Administration and Google Trends, we embarked on the enlightening journey of statistical analysis to uncover the shadowy link between the rays of solar power and the throbbing concerns of headache sufferers. Our findings revealed a remarkably bright correlation coefficient of 0.9661237, with a dazzling p-value of less than 0.01, for the years 2009 to 2021. While our results shed light on this connection, our study also gives rise to numerous questions and possibilities, leaving us to ponder whether the mirage of correlation is just a trick of the light or a radiant insight into the enigmatic relationship between renewable energy and personal health.

[[LITERATURE REVIEW]]
The intriguing connection between solar power generation in the UAE and Google searches for "why do I have a migraine" has piqued the curiosity of researchers across various disciplines. Smith et al. (2015) delved into the realms of renewable energy and public health, shedding light on the potential interplay between environmental factors and health outcomes. Their work set the stage for our own investigation into the radiant relationship between solar power and the virtual quest for migraine-related explanations.
Doe and Jones (2019) examined patterns of internet searches related to health concerns, uncovering the ways in which regional variations in environmental factors may influence the virtual queries of individuals seeking medical information. While their study did not specifically focus on solar power, it hinted at the broader implications of environmental influences on online search behavior, serving as a beacon of inspiration for our own research.
In "Renewable Energy and Human Health" by Green (2018), the author explores the physiological and psychological impacts of embracing renewable energy sources, offering insight into the potential health benefits of transitioning away from traditional fossil fuels. This work provided a theoretical backdrop for our investigation, challenging us to consider the luminous effects of solar energy on human well-being beyond mere physical sustenance.
Turning to the realm of fiction, "Solar Flares and Sensory Surprises" by Lightyear (2002) delves into the whimsical world of solar phenomena and their unexpected effects on human perception. While not a scholarly work, this imaginative exploration of the interplay between sunlight and sensory experiences offers a playful contrast to the empirical studies guiding our own inquiry.
Additionally, the animated series "Solar Powered Adventures" and the children's show "The Sunny Search Squad" both feature characters embarking on radiant quests, albeit in entirely different contexts. While these fictional narratives may not directly elucidate the relationship between solar power and migraine-related searches, they serve as reminders of the pervasive influence of sunlight and the human quest for understanding, even in the most unexpected of settings.
With these diverse sources as our guiding lights, we embark on our own radiant expedition into the nexus of solar power generation and the curious virtual exploration of migraine-related queries. As we illuminate the path ahead, we remain ever mindful of the illuminating potential of interdisciplinary research and the unexpected insights that await in the bright corners of scholarly inquiry.

[[RESULTS]]
Our investigation into the relationship between solar power generation in the United Arab Emirates and Google searches for 'why do I have a migraine' yielded some rather dazzling results. The statistical analysis revealed a remarkably strong correlation coefficient of 0.9661237, with an r-squared value of 0.9333949, and a p-value of less than 0.01. In other words, there's a gleaming connection between the two variables, enough to make even the sun jealous. We're talking about a correlation so bright, you might want to grab your favorite pair of shades before digging into these findings.
While correlation does not imply causation, it's hard not to feel a bit starstruck by the magnitude of this relationship. The scatterplot (Fig. 1) we've included depicts this correlation, and it's safe to say that the data points are practically sunbathing in the radiance of statistical significance.
Now, we're not ones to make grand, sweeping claims, but these results do give new meaning to the concept of a "light bulb moment." It's as if the bright idea of solar energy is casting a vivid spotlight on the age-old inquiry of headache causation, so much so that we can't help but feel a surge of illumination ourselves. While we can't say for certain whether solar power generation directly influences migraine-related searches, there's certainly a beam of hope that this research will guide future inquiries into the dazzling interplay between renewable energy and public health, all while giving us a few chuckles along the way.
In the spirit of scientific inquiry, we urge readers not to stare directly at these results for too long—after all, prolonged exposure to such bright correlations might just leave you seeing stars.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study have left us feeling positively radiant, as they not only support, but practically shine a spotlight on the prior research that hinted at the captivating connection between solar power generation in the United Arab Emirates and the virtual pursuit of migraine-related explanations. The correlation coefficient of 0.9661237, coupled with the strikingly low p-value of less than 0.01, illuminates the path towards a deeper understanding of the radiant relationship between renewable energy and human health concerns.

Coming back to the literature review, the work of Smith et al. (2015) provided an enlightening foundation, much like a well-placed skylight, for our own investigation. The synergistic dance of solar energy and the enigmatic queries about migraine causation has been affirmed by our findings, offering a luminous validation of their pioneering exploration into renewable energy and public health. Doe and Jones (2019)'s investigation into internet search patterns related to health concerns also receives a well-deserved nod of appreciation, as the regional variations in environmental factors they uncovered align harmoniously with the sunlit path our own study has tread. This confluence of research findings is the equivalent of stumbling upon a bright, shining constellation of scholarly inquiry, each study casting its own unique glow on the interconnectedness of human health and environmental influences.

Now, while we must bid adieu to the fictional realm of "Solar Flares and Sensory Surprises" by Lightyear (2002), it's worth noting that our empirical findings have lent a touch of empirical grounding to the whimsical musings of solar phenomena and human experience. With a twinkle in our eyes and a nod to the luminous narratives of "Solar Powered Adventures" and "The Sunny Search Squad", we acknowledge that reality has indeed outshone fiction in revealing the unexpected ways in which sunlight and human inquiry intersect.

Our results not only toe the line of conventional scientific inquiry but bask in the playful glow of statistical significance, urging us to recognize that this radiant correlation offers a promising avenue for future research. While we resist the temptation to make grand, solar-powered claims, there's no denying that this radiant association has sparked a light-hearted, albeit statistically robust, conversation about the intertwined destinies of renewable energy and the human quest for answers, leaving us with a heightened sense of scientific wonder. After all, who knew that the sun's luminous embrace could shed such bright insight on the shadowy world of migraine-related searches?

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 Solar power generated in United Arab Emirates and Google searches for 'why do i have a migraine'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine'

[[ABSTRACT]]
In this study, we explore the illuminating connection between the burgeoning solar power generation in the United Arab Emirates and the curious surge in Google searches for 'why do I have a migraine'. With data sourced from the Energy Information Administration and Google Trends, we embarked on the enlightening journey of statistical analysis to uncover the shadowy link between the rays of solar power and the throbbing concerns of headache sufferers. Our findings revealed a remarkably bright correlation coefficient of 0.9661237, with a dazzling p-value of less than 0.01, for the years 2009 to 2021. While our results shed light on this connection, our study also gives rise to numerous questions and possibilities, leaving us to ponder whether the mirage of correlation is just a trick of the light or a radiant insight into the enigmatic relationship between renewable energy and personal health.

[[INTRDUCTION]]
The intersection of renewable energy and public health has long been a topic of interest among researchers, policymakers, and individuals seeking to understand the holistic impact of energy sources on human well-being. In recent years, the United Arab Emirates (UAE) has made significant strides in the realm of solar power generation, harnessing the potent rays of the sun to illuminate homes, power industries, and, apparently, inspire curious web searches related to headaches. Enter the enigmatic query, "why do I have a migraine," a digital beacon drawing individuals into the virtual realm of ailment-related inquiries while the UAE's solar prowess shines on. It is within this context that we set out to uncover the perhaps unexpected, if not somewhat dazzling, relationship between the two seemingly disparate phenomena.
Our inquiry inevitably led us on a whirlwind journey through data sets, statistical analyses, and a barrage of puns about shedding light on shadowy connections. As we harnessed the power of numbers, we found ourselves straddling the realms of solar physics and the intricacies of human physiology, figuratively basking in the glow of statistical significance and grappling with the shadowy complexities of correlation. Our study, while rooted in the empirical and methodical traditions of research, is not immune to the lighthearted whims of scientific inquiry, much like a solar flare on the surface of a scholarly discourse.
With this paper, we aim to shed light on the compelling correlation between solar power generation and the quest for headache-related answers, all while embracing the illuminating potential of interdisciplinary research. As we delve into the intricacies of our findings, we invite readers to join us on this radiant expedition and, perhaps, emerge with a newfound appreciation for the sunny side of statistical exploration. After all, who knew that solar irradiance and search habits could converge in such a luminous manner?

[[RESULTS]]
Our investigation into the relationship between solar power generation in the United Arab Emirates and Google searches for 'why do I have a migraine' yielded some rather dazzling results. The statistical analysis revealed a remarkably strong correlation coefficient of 0.9661237, with an r-squared value of 0.9333949, and a p-value of less than 0.01. In other words, there's a gleaming connection between the two variables, enough to make even the sun jealous. We're talking about a correlation so bright, you might want to grab your favorite pair of shades before digging into these findings.
While correlation does not imply causation, it's hard not to feel a bit starstruck by the magnitude of this relationship. The scatterplot (Fig. 1) we've included depicts this correlation, and it's safe to say that the data points are practically sunbathing in the radiance of statistical significance.
Now, we're not ones to make grand, sweeping claims, but these results do give new meaning to the concept of a "light bulb moment." It's as if the bright idea of solar energy is casting a vivid spotlight on the age-old inquiry of headache causation, so much so that we can't help but feel a surge of illumination ourselves. While we can't say for certain whether solar power generation directly influences migraine-related searches, there's certainly a beam of hope that this research will guide future inquiries into the dazzling interplay between renewable energy and public health, all while giving us a few chuckles along the way.
In the spirit of scientific inquiry, we urge readers not to stare directly at these results for too long—after all, prolonged exposure to such bright correlations might just leave you seeing stars.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has uncovered a radiant correlation between solar power generation in the United Arab Emirates and the surge in Google searches for 'why do I have a migraine'. The statistically significant correlation coefficient of 0.9661237 has left us feeling sun-kissed and perhaps a tad bit dazzled. The scatterplot practically glistens with the brilliance of this relationship, making us wonder if we should trade our data sets for sunscreen. While correlation doesn't equal causation, the connection between solar power and headache-related searches is shining brighter than a supernova.

However, as much as we'd love to bask in the glow of these findings forever, it seems our work here is done. After all, there's only so much we can say about solar power and migraines before we start sounding like wannabe astrophysicists. So, with that, we confidently assert that this is a shining example of research that needs no further investigation.

And remember, when it comes to solar power and migraines, it's always best to keep a sunny disposition and a healthy sense of humor. After all, who knew that renewable energy could shed light on the shady mysteries of human health? It may just be the brightest idea in research yet.

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 Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine'. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Solar Psychology

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 Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine'. Respond only with the name of a fictional organization.

ChatGPT:

The Association for Solar-Powered Neurological Inquiry

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 Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine' with an abstract of In this study, we explore the illuminating connection between the burgeoning solar power generation in the United Arab Emirates and the curious surge in Google searches for 'why do I have a migraine'. With data sourced from the Energy Information Administration and Google Trends, we embarked on the enlightening journey of statistical analysis to uncover the shadowy link between the rays of solar power and the throbbing concerns of headache sufferers. Our findings revealed a remarkably bright correlation coefficient of 0.9661237, with a dazzling p-value of less than 0.01, for the years 2009 to 2021. While our results shed light on this connection, our study also gives rise to numerous questions and possibilities, leaving us to ponder whether the mirage of correlation is just a trick of the light or a radiant insight into the enigmatic relationship between renewable energy and personal health.

ChatGPT:

solar power generation, Google searches, migraine, United Arab Emirates, statistical analysis, correlation coefficient, renewable energy, personal health, Energy Information Administration, Google Trends

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

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Data details

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

Google searches for 'why do i have a migraine'
Detailed data title: Relative volume of Google searches for 'why do i have a migraine' (Worldwide, without quotes)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'why do i have a migraine'

Correlation r = 0.9661237 (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 = 0.9333949 (Coefficient of determination)
This means 93.3% of the change in the one variable (i.e., Google searches for 'why do i have a migraine') is predictable based on the change in the other (i.e., Solar power generated in United Arab Emirates) over the 13 years from 2009 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.2E-8.^Show 0.0000000819006368082299100000
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 0.97 in 8.2E-6% of random cases. Said differently, if you correlated 12,209,917 random variables^Note You don't actually need 12 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 12 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 12 because we have two variables measured over a period of 13 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.

[ 0.89, 0.99 ] 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.

	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Solar power generated in United Arab Emirates (Billion kWh)	0.01	0.02	0.034	0.019	0.076	0.296	0.297	0.314	0.739	1.309	3.788	5.485	6.6917
Google searches for 'why do i have a migraine' (Rel. search volume)	2	2	2.66667	4.41667	4.75	5.08333	6.41667	6.25	9.5	10.3333	13.9167	20.0833	21.9167

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.
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.

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([0.01,0.02,0.034,0.019,0.076,0.296,0.297,0.314,0.739,1.309,3.788,5.485,6.6917,])
array_2 = np.array([2,2,2.66667,4.41667,4.75,5.08333,6.41667,6.25,9.5,10.3333,13.9167,20.0833,21.9167,])
array_1_name = "Solar power generated in United Arab Emirates"
array_2_name = "Google searches for 'why do i have a migraine'"

# 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 Solar power generated in United Arab Emirates
Line chart for only Google searches for 'why do i have a migraine'
AI-generated correlation image
The spurious research paper: Lighting Up the Search: A Sunny Connection Between Solar Power Generation and Google Searches for 'Why Do I Have a Migraine'

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Correlation ID: 3764 · Black Variable ID: 24066 · Red Variable ID: 1512


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