Spurious correlation #4,785 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Electricity generation in Angola and the second variable is Total comments on SmarterEveryDay YouTube videos. The chart goes from 2007 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 Electricity generation in Angola and the second variable is Total comments on SmarterEveryDay YouTube videos. The chart goes from 2007 to 2021, and the two variables track closely in value over that time.

AI explanation

The surge of electric current in Angola created a literal spark in the brains of SmarterEveryDay viewers, leading to a shocking increase in their comment output. It's as if their thoughts were conducting a lively discussion on the power of electricity! Remember, with great power generation comes electric personalities!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image that captures the essence of bustling energy, combining the vibrant power plants of Angola with the dynamic dialogue flooding SmarterEveryDay's YouTube videos. The scene should glow with the electric excitement, symbolizing the lively exchange of ideas sparked by the very essence of electricity. Focus on capturing the luminous glow of the power plants against the backdrop of vibrant conversation in the online space, evoking the exhilarating atmosphere of a Disney movie scene. 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: Electricity generation in Angola and Total comments on SmarterEveryDay YouTube videos. 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: Data cyber art a funny image macro a funny image you would see on reddit Psychedelic An image that looks like it is a scene from A Disney Movie
ChatGPT: An image that looks like it is a scene from A Disney Movie

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 Electricity generation in Angola and Total comments on SmarterEveryDay YouTube videos, in the following situation: The surge of electric current in Angola created a literal spark in the brains of SmarterEveryDay viewers, leading to a shocking increase in their comment output. It's as if their thoughts were conducting a lively discussion on the power of electricity! Remember, with great power generation comes electric personalities!. Keep the description simple.
ChatGPT: In a vibrant scene, the electrifying power plants in Angola hum with energy, illuminating the landscape with a warm glow. Meanwhile, a flurry of comments floods the SmarterEveryDay YouTube videos, filling the screen with an electric buzz of conversation and sparking debates. It's as if the very essence of electricity has sparked a lively exchange of ideas among the viewers, creating an energized atmosphere.

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: [ An image that looks like it is a scene from A Disney Movie ] and depicting this scene: In a vibrant scene, the electrifying power plants in Angola hum with energy, illuminating the landscape with a warm glow. Meanwhile, a flurry of comments floods the SmarterEveryDay YouTube videos, filling the screen with an electric buzz of conversation and sparking debates. It's as if the very essence of electricity has sparked a lively exchange of ideas among the viewers, creating an energized atmosphere. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that captures the essence of bustling energy, combining the vibrant power plants of Angola with the dynamic dialogue flooding SmarterEveryDay's YouTube videos. The scene should glow with the electric excitement, symbolizing the lively exchange of ideas sparked by the very essence of electricity. Focus on capturing the luminous glow of the power plants against the backdrop of vibrant conversation in the online space, evoking the exhilarating atmosphere of a Disney movie scene.

*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 Electricity generation in Angola caused Total comments on SmarterEveryDay YouTube videos to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos

The Journal of Quirky Energy Studies

Jan 2024

^{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 Electricity generation in Angola and Total comments on SmarterEveryDay YouTube videos. 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
"Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos"

[[ABSTRACT]]
Generating electrifying findings, this research delves into the intriguing correlation between Angola's electricity generation and the total comments on SmarterEveryDay YouTube videos. Using data from the Energy Information Administration and YouTube, our research team uncovered a striking correlation coefficient of 0.9692281 and a p-value of less than 0.01 for the period spanning from 2007 to 2021. These findings spark a dynamic conversation, shedding light on the electrifying influence of energy generation on online engagement and revealing hidden currents in the digital landscape. Join us as we fuse quantitative analysis with a dash of humor and spark innovation in the field of interdisciplinary research.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the grand symphony of global energy production, Angola conducts its own electrifying performance. With its captivating rhythm of electricity generation, it has garnered attention from researchers, policymakers, and analysts. Meanwhile, on the digital stage of YouTube, the channel SmarterEveryDay has been drawing in viewers with its engaging content, sparking discussions and commentary from viewers across the globe. It is in this electrifying milieu that our research seeks to illuminate a less obvious, but no less intriguing, connection between the two phenomena.
As the saying goes, "opposites attract," and our study aims to bridge the seemingly disparate realms of energy production and online engagement. We could say we're riding the electron wave, diving into the sea of data, to create a literal and figurative buzz around this topic. Our motivation stems from a desire to turn up the voltage of interdisciplinary research, illuminating the dark corners of unexplored associations and, hopefully, sparking the interest of our readers.
The primary objective of this research endeavors to connect the dots between the electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. By examining these seemingly unrelated variables, we are taking steps toward unlocking a novel understanding of the intricate web of human behavior and energy dynamics. In doing so, we aim to shine a light on the dimly lit corridors of online engagement and its potential correlation with real-world energy activities.
Our inquiry into this uncommon combination of factors is not merely a curiosity-fueled endeavor but a calculated effort to unearth hidden patterns, like a scientific treasure hunt. We aim to electrify the academic community with our findings, buoyed by the conviction that, just like electrons in a circuit, sometimes unexpected connections can flow from seemingly disconnected elements. We're here to illuminate and entertain, to shed light while cracking a few electrifying jokes along the way. After all, who said academic research can't be a charged affair?
Stay tuned as we embark on this illuminating journey through the intricacies of data analysis and statistical inference, with a healthy dose of humor to keep things light. Together, we'll illuminate the path to understanding the dynamic interplay between Angola's electricity production and the digital discourse on SmarterEveryDay. It's time to flip the switch and dive into our findings. Let's light up this scientific arena, shall we?

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Existing literature provides a foundation for understanding the realms of energy generation and digital engagement, paving the way for our electrifying investigation into the relationship between Angola's electricity production and the total comments on SmarterEveryDay YouTube videos. Smith et al. (2015) explored the impact of renewable energy sources on social media engagement, shedding light on the potential connections between sustainable energy practices and online discourse. Similarly, Doe and Jones (2018) delved into the psychological aspects of online interactions, offering insights into the factors that drive user engagement with digital content, albeit not directly related to the shocking rockings of electricity generation in Angola.

Venturing beyond the direct confines of our research context, "The Grid: The Fraying Wires Between Americans and Our Energy Future" by Gretchen Bakke provides valuable insight into the socio-political dimensions of electricity generation, although it doesn't directly address the synergistic relationship between Angola's electricity and YouTube comments. Furthermore, in "Energy and Civilization: A History" by Vaclav Smil, the historical significance of energy production unfolds, contributing to a broader understanding of energy's role in human civilization, but alas, offering no illumination regarding the electrifying dynamics of online engagement.

Turning our attention to fictional works that may spark whimsical connections, "The Electric Kool-Aid Acid Test" by Tom Wolfe beckons with its zany title, juxtaposing electricity and subtle references to digital "likes" and "comments," albeit in a significantly different context. In a more science fiction-leaning vein, Isaac Asimov's "I, Robot" conjures futuristic musings and robotic interactions, which, though light-years away from our research focus, serves to inject a jolt of imagination into our review of literature. And on a completely unrelated note, the board game "Power Grid" offers strategic insight into managing energy resources and infrastructure, but is unlikely to shed any meaningful light on our specific research question, except perhaps to provide a shockingly good time during breaks from data analysis.

As we navigate this ocean of literature, we find ourselves in a sea of potential connections, currents of thought, and shockingly bad puns. It's an electrifying journey, and we hope to charge the academic atmosphere with our findings, igniting sparks of curiosity and amusement in equal measure. With this whimsically eclectic mix of literature in our wake, we are poised to plunge into our own analysis, embracing the thrill of discovery that awaits us in the depths of statistical inference and data interpretation. Let's flip the switch and illuminate the offbeat connection between Angola's energy generation and YouTube engagement – it's time to light the way to some electrifying revelations!

And with that, we're charged up and ready to delve deeper into our own research, electrified by the potential to add our unique spark to the academic conversation. Let's ride the lightning and see where it takes us!

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 Electricity generation in Angola and Total comments on SmarterEveryDay YouTube videos. 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 YouTube . You used data from 2007 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]]
"Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos"

[[ABSTRACT]]
Generating electrifying findings, this research delves into the intriguing correlation between Angola's electricity generation and the total comments on SmarterEveryDay YouTube videos. Using data from the Energy Information Administration and YouTube, our research team uncovered a striking correlation coefficient of 0.9692281 and a p-value of less than 0.01 for the period spanning from 2007 to 2021. These findings spark a dynamic conversation, shedding light on the electrifying influence of energy generation on online engagement and revealing hidden currents in the digital landscape. Join us as we fuse quantitative analysis with a dash of humor and spark innovation in the field of interdisciplinary research.

[[INTRODUCTION]]
In the grand symphony of global energy production, Angola conducts its own electrifying performance. With its captivating rhythm of electricity generation, it has garnered attention from researchers, policymakers, and analysts. Meanwhile, on the digital stage of YouTube, the channel SmarterEveryDay has been drawing in viewers with its engaging content, sparking discussions and commentary from viewers across the globe. It is in this electrifying milieu that our research seeks to illuminate a less obvious, but no less intriguing, connection between the two phenomena.
As the saying goes, "opposites attract," and our study aims to bridge the seemingly disparate realms of energy production and online engagement. We could say we're riding the electron wave, diving into the sea of data, to create a literal and figurative buzz around this topic. Our motivation stems from a desire to turn up the voltage of interdisciplinary research, illuminating the dark corners of unexplored associations and, hopefully, sparking the interest of our readers.
The primary objective of this research endeavors to connect the dots between the electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. By examining these seemingly unrelated variables, we are taking steps toward unlocking a novel understanding of the intricate web of human behavior and energy dynamics. In doing so, we aim to shine a light on the dimly lit corridors of online engagement and its potential correlation with real-world energy activities.
Our inquiry into this uncommon combination of factors is not merely a curiosity-fueled endeavor but a calculated effort to unearth hidden patterns, like a scientific treasure hunt. We aim to electrify the academic community with our findings, buoyed by the conviction that, just like electrons in a circuit, sometimes unexpected connections can flow from seemingly disconnected elements. We're here to illuminate and entertain, to shed light while cracking a few electrifying jokes along the way. After all, who said academic research can't be a charged affair?
Stay tuned as we embark on this illuminating journey through the intricacies of data analysis and statistical inference, with a healthy dose of humor to keep things light. Together, we'll illuminate the path to understanding the dynamic interplay between Angola's electricity production and the digital discourse on SmarterEveryDay. It's time to flip the switch and dive into our findings. Let's light up this scientific arena, shall we?

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To shed light (no, not literally) on the purported connection between electricity generation in Angola and the total number of engaging comments on SmarterEveryDay YouTube videos, our research team embarked on a journey that was equal parts illuminating and hair-raising. We sought to navigate the digital currents and quantitative rapids with the grace of a balletic electron, all while keeping our scientific compass pointed firmly toward robust statistical inference.

Data Collection:
Our methodological approach involved casting a wide net across the digital sea, pulling in data from the Energy Information Administration for Angola's electricity generation and diving into the depths of YouTube's comment sections to extract the total number of engaging comments on SmarterEveryDay's range of thought-provoking videos. We meticulously combed through data spanning from 2007 to 2021, ensuring that our analysis encapsulated a comprehensive snapshot of the fluctuating tides of electricity generation and the ever-evolving chatter in the digital realm.

Now, as any seasoned researcher will tell you, navigating the torrential waters of internet data collection can be akin to traversing an untamed river – fraught with unexpected twists, rocky patches of missing data, and the occasional whirlpool of misinformation. Nevertheless, armed with our trusty digital oars, or rather, analytical software tools, we steered our data collection vessel with unwavering determination.

Data Analysis:
With data in hand, we set sail for the choppy seas of statistical analysis, our sights set firmly on uncovering meaningful correlations amidst the digital waves. Employing a combination of robust correlations, quite the statisticians' equivalent to harnessing the power of a lightning storm in a jar, and regression analysis, we aimed to peel back the layers of variance and illuminate the underlying connections – not unlike a physicist unraveling the mysteries of subatomic particles, but with slightly less radiation.

Furthermore, it was imperative for us to test the robustness of the relationship between these seemingly disparate variables while rigorously combating the lurking lurking sea monsters of spurious correlations and confounding factors. We danced delicately, yet assertively, through the technical tango of hypothesis testing and p-values, ensuring that our findings were not merely statistical static, but dynamic currents of meaningful insight.

Model Building:
Building on the foundation of our statistical analysis, we endeavored to construct a model that could encapsulate the nuanced interplay between Angola's electricity generation and the viewers' captivating comments on SmarterEveryDay videos. Much like an architect designing a grand structure, we carefully selected appropriate model specifications, considering various transformations and specifications to ensure that our final model was not just window dressing, but a sturdy framework upon which our findings could stand tall.

Validation and Sensitivity Analysis:
Fleshing out our analysis, we subjected our model to rigorous validation and sensitivity analysis, scrutinizing its resilience to varying specifications and potential outliers. This stage of our methodology can be likened to stress-testing a bridge, carefully ensuring that it can weather even the most tempestuous of statistical storms without crumbling.

Overall, our methodology was not just a one-size-fits-all plug and play, but rather a bespoke blend of analytical techniques, data wrangling, and model tinkering, all interwoven with the subtlety of a masterful symphony conductor. We aim to illuminate your understanding of our methods, all while infusing a spark of humor to keep the scientific discussion lively and engaging – much like a burst of static electricity surprising you on a dry winter day.

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 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 Electricity generation in Angola and Total comments on SmarterEveryDay YouTube videos. 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 YouTube .

For the time period 2007 to 2021, you found a correlation 0.9692281, r-squared of 0.9394031, 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]]
"Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos"

[[ABSTRACT]]
Generating electrifying findings, this research delves into the intriguing correlation between Angola's electricity generation and the total comments on SmarterEveryDay YouTube videos. Using data from the Energy Information Administration and YouTube, our research team uncovered a striking correlation coefficient of 0.9692281 and a p-value of less than 0.01 for the period spanning from 2007 to 2021. These findings spark a dynamic conversation, shedding light on the electrifying influence of energy generation on online engagement and revealing hidden currents in the digital landscape. Join us as we fuse quantitative analysis with a dash of humor and spark innovation in the field of interdisciplinary research.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the grand symphony of global energy production, Angola conducts its own electrifying performance. With its captivating rhythm of electricity generation, it has garnered attention from researchers, policymakers, and analysts. Meanwhile, on the digital stage of YouTube, the channel SmarterEveryDay has been drawing in viewers with its engaging content, sparking discussions and commentary from viewers across the globe. It is in this electrifying milieu that our research seeks to illuminate a less obvious, but no less intriguing, connection between the two phenomena.
As the saying goes, "opposites attract," and our study aims to bridge the seemingly disparate realms of energy production and online engagement. We could say we're riding the electron wave, diving into the sea of data, to create a literal and figurative buzz around this topic. Our motivation stems from a desire to turn up the voltage of interdisciplinary research, illuminating the dark corners of unexplored associations and, hopefully, sparking the interest of our readers.
The primary objective of this research endeavors to connect the dots between the electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. By examining these seemingly unrelated variables, we are taking steps toward unlocking a novel understanding of the intricate web of human behavior and energy dynamics. In doing so, we aim to shine a light on the dimly lit corridors of online engagement and its potential correlation with real-world energy activities.
Our inquiry into this uncommon combination of factors is not merely a curiosity-fueled endeavor but a calculated effort to unearth hidden patterns, like a scientific treasure hunt. We aim to electrify the academic community with our findings, buoyed by the conviction that, just like electrons in a circuit, sometimes unexpected connections can flow from seemingly disconnected elements. We're here to illuminate and entertain, to shed light while cracking a few electrifying jokes along the way. After all, who said academic research can't be a charged affair?
Stay tuned as we embark on this illuminating journey through the intricacies of data analysis and statistical inference, with a healthy dose of humor to keep things light. Together, we'll illuminate the path to understanding the dynamic interplay between Angola's electricity production and the digital discourse on SmarterEveryDay. It's time to flip the switch and dive into our findings. Let's light up this scientific arena, shall we?

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our investigation electrify the academic landscape, as we unveil a notably high correlation between electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. Our analysis revealed a correlation coefficient of 0.9692281, indicating a strong positive relationship between these seemingly unrelated variables. This correlation coefficient illuminated the previously hidden resonance between energy production and online engagement, serving as a beacon in the murky sea of data.

Delving deeper into the statistical analysis, we found an r-squared value of 0.9394031, suggesting that approximately 93.94% of the variance in the total comments on SmarterEveryDay YouTube videos can be explained by the variation in Angola's electricity generation. In other words, our findings hint at a striking coherence between these two phenomena, emphasizing the entwined nature of energy dynamics and digital communication.

Additionally, the p-value of less than 0.01 provides strong evidence against the null hypothesis of no association, affirming the significance of the observed correlation. These results leave little room for doubt regarding the captivating link between Angola's electricity generation and the online discourse surrounding SmarterEveryDay.

Our enlightening findings are graphically showcased in Figure 1, where a scatterplot visually portrays the striking correlation between electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. The data points form a clear, upward-trending pattern, underscoring the pronounced relationship between these variables and serving as a visible testament to the synergy between energy production and digital engagement. As we always say in the world of academia, a picture is worth a thousand words, and this figure certainly sparks more than just scholarly curiosity.

In essence, our results illuminate the intricate interplay between energy generation and online interaction, providing a potent reminder of the unexpected connections that can emerge from the web of statistical analysis. As we reveled in the glow of our findings, we couldn't help but marvel at the electric rapport we uncovered between these distinct domains. After all, who knew that the flow of electrons and the flow of digital conversations could resonate so harmoniously?

Thus, our research not only electrifies the scientific community but also bolsters the understanding of how real-world energy activities can reverberate in the digital realm. It is our hope that these findings will energize future research endeavors and spark a surge of interdisciplinary exploration. After all, in the words of Thomas Edison, "Opportunity is missed by most people because it is dressed in overalls and looks like work." Well, we grabbed our overalls, rolled up our sleeves, and uncovered a current of curiosity that we hope will light the path for future investigations in this electrifying arena of study.

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 Electricity generation in Angola and Total comments on SmarterEveryDay YouTube videos. 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]]
"Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos"

[[ABSTRACT]]
Generating electrifying findings, this research delves into the intriguing correlation between Angola's electricity generation and the total comments on SmarterEveryDay YouTube videos. Using data from the Energy Information Administration and YouTube, our research team uncovered a striking correlation coefficient of 0.9692281 and a p-value of less than 0.01 for the period spanning from 2007 to 2021. These findings spark a dynamic conversation, shedding light on the electrifying influence of energy generation on online engagement and revealing hidden currents in the digital landscape. Join us as we fuse quantitative analysis with a dash of humor and spark innovation in the field of interdisciplinary research.

[[LITERATURE REVIEW]]
Existing literature provides a foundation for understanding the realms of energy generation and digital engagement, paving the way for our electrifying investigation into the relationship between Angola's electricity production and the total comments on SmarterEveryDay YouTube videos. Smith et al. (2015) explored the impact of renewable energy sources on social media engagement, shedding light on the potential connections between sustainable energy practices and online discourse. Similarly, Doe and Jones (2018) delved into the psychological aspects of online interactions, offering insights into the factors that drive user engagement with digital content, albeit not directly related to the shocking rockings of electricity generation in Angola.
Venturing beyond the direct confines of our research context, "The Grid: The Fraying Wires Between Americans and Our Energy Future" by Gretchen Bakke provides valuable insight into the socio-political dimensions of electricity generation, although it doesn't directly address the synergistic relationship between Angola's electricity and YouTube comments. Furthermore, in "Energy and Civilization: A History" by Vaclav Smil, the historical significance of energy production unfolds, contributing to a broader understanding of energy's role in human civilization, but alas, offering no illumination regarding the electrifying dynamics of online engagement.
Turning our attention to fictional works that may spark whimsical connections, "The Electric Kool-Aid Acid Test" by Tom Wolfe beckons with its zany title, juxtaposing electricity and subtle references to digital "likes" and "comments," albeit in a significantly different context. In a more science fiction-leaning vein, Isaac Asimov's "I, Robot" conjures futuristic musings and robotic interactions, which, though light-years away from our research focus, serves to inject a jolt of imagination into our review of literature. And on a completely unrelated note, the board game "Power Grid" offers strategic insight into managing energy resources and infrastructure, but is unlikely to shed any meaningful light on our specific research question, except perhaps to provide a shockingly good time during breaks from data analysis.
As we navigate this ocean of literature, we find ourselves in a sea of potential connections, currents of thought, and shockingly bad puns. It's an electrifying journey, and we hope to charge the academic atmosphere with our findings, igniting sparks of curiosity and amusement in equal measure. With this whimsically eclectic mix of literature in our wake, we are poised to plunge into our own analysis, embracing the thrill of discovery that awaits us in the depths of statistical inference and data interpretation. Let's flip the switch and illuminate the offbeat connection between Angola's energy generation and YouTube engagement – it's time to light the way to some electrifying revelations!
And with that, we're charged up and ready to delve deeper into our own research, electrified by the potential to add our unique spark to the academic conversation. Let's ride the lightning and see where it takes us!

[[RESULTS]]
The results of our investigation electrify the academic landscape, as we unveil a notably high correlation between electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. Our analysis revealed a correlation coefficient of 0.9692281, indicating a strong positive relationship between these seemingly unrelated variables. This correlation coefficient illuminated the previously hidden resonance between energy production and online engagement, serving as a beacon in the murky sea of data.
Delving deeper into the statistical analysis, we found an r-squared value of 0.9394031, suggesting that approximately 93.94% of the variance in the total comments on SmarterEveryDay YouTube videos can be explained by the variation in Angola's electricity generation. In other words, our findings hint at a striking coherence between these two phenomena, emphasizing the entwined nature of energy dynamics and digital communication.
Additionally, the p-value of less than 0.01 provides strong evidence against the null hypothesis of no association, affirming the significance of the observed correlation. These results leave little room for doubt regarding the captivating link between Angola's electricity generation and the online discourse surrounding SmarterEveryDay.
Our enlightening findings are graphically showcased in Figure 1, where a scatterplot visually portrays the striking correlation between electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. The data points form a clear, upward-trending pattern, underscoring the pronounced relationship between these variables and serving as a visible testament to the synergy between energy production and digital engagement. As we always say in the world of academia, a picture is worth a thousand words, and this figure certainly sparks more than just scholarly curiosity.
In essence, our results illuminate the intricate interplay between energy generation and online interaction, providing a potent reminder of the unexpected connections that can emerge from the web of statistical analysis. As we reveled in the glow of our findings, we couldn't help but marvel at the electric rapport we uncovered between these distinct domains. After all, who knew that the flow of electrons and the flow of digital conversations could resonate so harmoniously?
Thus, our research not only electrifies the scientific community but also bolsters the understanding of how real-world energy activities can reverberate in the digital realm. It is our hope that these findings will energize future research endeavors and spark a surge of interdisciplinary exploration. After all, in the words of Thomas Edison, "Opportunity is missed by most people because it is dressed in overalls and looks like work." Well, we grabbed our overalls, rolled up our sleeves, and uncovered a current of curiosity that we hope will light the path for future investigations in this electrifying arena of study.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our study has shed light on the captivating relationship between Angola's electricity generation and the total comments on SmarterEveryDay YouTube videos, revealing an electrifying correlation that defies conventional expectations. Building upon the whimsical connections identified in our literature review, we have successfully uncovered a current of curiosity that sparks innovation in interdisciplinary research.

The strong positive correlation coefficient of 0.9692281 unearthed in our analysis is consistent with the prior work of Smith et al. (2015), who emphasized the potential connections between sustainable energy practices and online discourse. Similarly, the psychological aspects of online interactions, as explored by Doe and Jones (2018), align with our findings, underscoring the entwined nature of energy dynamics and digital communication. While our study plunges into the realm of statistical inference and data interpretation, it is clear that these electrifying connections are not merely products of happenstance but resonate with the broader scholarly discourse.

Furthermore, our results exhibit a high r-squared value of 0.9394031, signifying that approximately 93.94% of the variance in the total comments on SmarterEveryDay YouTube videos can be elucidated by the variation in Angola's electricity generation. This aligns with the underlying current of prior research, which highlights the potential impact of energy production on online engagement and interaction.

The statistically significant p-value of less than 0.01 corroborates the robustness of our findings, vividly affirming the significance of the observed correlation. This not only bolsters the academic understanding of the interconnectedness between real-world energy activities and digital discourse but also serves as a beacon, illuminating the potential avenues for future interdisciplinary exploration in this dynamic and, might I add, shockingly illuminating area of study.

As we bask in the glow of our electrifying revelations, it becomes clear that the intricacies of energy dynamics and online interaction transcend conventional expectations, sparking a surge of interdisciplinary curiosity. The juxtaposition of these seemingly disparate domains not only energizes the scientific community but hints at the hitherto unseen potential for research to harness the surging current of knowledge in this electrifying arena.

In summary, our findings resonate not only with prior literature but also serve as a testament to the unforeseen coherence between energy production and online engagement. We invite fellow scholars to join us in riding the lightning of interdisciplinary exploration, as we harness the shockingly good energy of this intriguing correlation. After all, in the words of Benjamin Franklin, "Energy and persistence conquer all things." So, let's persist in our quest for knowledge and surge forth in unraveling the captivating connections that electrify the scientific landscape.

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 Electricity generation in Angola and Total comments on SmarterEveryDay YouTube videos. 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]]
"Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos"

[[ABSTRACT]]
Generating electrifying findings, this research delves into the intriguing correlation between Angola's electricity generation and the total comments on SmarterEveryDay YouTube videos. Using data from the Energy Information Administration and YouTube, our research team uncovered a striking correlation coefficient of 0.9692281 and a p-value of less than 0.01 for the period spanning from 2007 to 2021. These findings spark a dynamic conversation, shedding light on the electrifying influence of energy generation on online engagement and revealing hidden currents in the digital landscape. Join us as we fuse quantitative analysis with a dash of humor and spark innovation in the field of interdisciplinary research.

[[INTRDUCTION]]
In the grand symphony of global energy production, Angola conducts its own electrifying performance. With its captivating rhythm of electricity generation, it has garnered attention from researchers, policymakers, and analysts. Meanwhile, on the digital stage of YouTube, the channel SmarterEveryDay has been drawing in viewers with its engaging content, sparking discussions and commentary from viewers across the globe. It is in this electrifying milieu that our research seeks to illuminate a less obvious, but no less intriguing, connection between the two phenomena.
As the saying goes, "opposites attract," and our study aims to bridge the seemingly disparate realms of energy production and online engagement. We could say we're riding the electron wave, diving into the sea of data, to create a literal and figurative buzz around this topic. Our motivation stems from a desire to turn up the voltage of interdisciplinary research, illuminating the dark corners of unexplored associations and, hopefully, sparking the interest of our readers.
The primary objective of this research endeavors to connect the dots between the electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. By examining these seemingly unrelated variables, we are taking steps toward unlocking a novel understanding of the intricate web of human behavior and energy dynamics. In doing so, we aim to shine a light on the dimly lit corridors of online engagement and its potential correlation with real-world energy activities.
Our inquiry into this uncommon combination of factors is not merely a curiosity-fueled endeavor but a calculated effort to unearth hidden patterns, like a scientific treasure hunt. We aim to electrify the academic community with our findings, buoyed by the conviction that, just like electrons in a circuit, sometimes unexpected connections can flow from seemingly disconnected elements. We're here to illuminate and entertain, to shed light while cracking a few electrifying jokes along the way. After all, who said academic research can't be a charged affair?
Stay tuned as we embark on this illuminating journey through the intricacies of data analysis and statistical inference, with a healthy dose of humor to keep things light. Together, we'll illuminate the path to understanding the dynamic interplay between Angola's electricity production and the digital discourse on SmarterEveryDay. It's time to flip the switch and dive into our findings. Let's light up this scientific arena, shall we?

[[RESULTS]]
The results of our investigation electrify the academic landscape, as we unveil a notably high correlation between electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. Our analysis revealed a correlation coefficient of 0.9692281, indicating a strong positive relationship between these seemingly unrelated variables. This correlation coefficient illuminated the previously hidden resonance between energy production and online engagement, serving as a beacon in the murky sea of data.
Delving deeper into the statistical analysis, we found an r-squared value of 0.9394031, suggesting that approximately 93.94% of the variance in the total comments on SmarterEveryDay YouTube videos can be explained by the variation in Angola's electricity generation. In other words, our findings hint at a striking coherence between these two phenomena, emphasizing the entwined nature of energy dynamics and digital communication.
Additionally, the p-value of less than 0.01 provides strong evidence against the null hypothesis of no association, affirming the significance of the observed correlation. These results leave little room for doubt regarding the captivating link between Angola's electricity generation and the online discourse surrounding SmarterEveryDay.
Our enlightening findings are graphically showcased in Figure 1, where a scatterplot visually portrays the striking correlation between electricity generation in Angola and the total comments on SmarterEveryDay YouTube videos. The data points form a clear, upward-trending pattern, underscoring the pronounced relationship between these variables and serving as a visible testament to the synergy between energy production and digital engagement. As we always say in the world of academia, a picture is worth a thousand words, and this figure certainly sparks more than just scholarly curiosity.
In essence, our results illuminate the intricate interplay between energy generation and online interaction, providing a potent reminder of the unexpected connections that can emerge from the web of statistical analysis. As we reveled in the glow of our findings, we couldn't help but marvel at the electric rapport we uncovered between these distinct domains. After all, who knew that the flow of electrons and the flow of digital conversations could resonate so harmoniously?
Thus, our research not only electrifies the scientific community but also bolsters the understanding of how real-world energy activities can reverberate in the digital realm. It is our hope that these findings will energize future research endeavors and spark a surge of interdisciplinary exploration. After all, in the words of Thomas Edison, "Opportunity is missed by most people because it is dressed in overalls and looks like work." Well, we grabbed our overalls, rolled up our sleeves, and uncovered a current of curiosity that we hope will light the path for future investigations in this electrifying arena of study.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has shed an illuminating light on the unexpected correlation between Angola's electricity generation and the total comments on SmarterEveryDay YouTube videos. The robust correlation coefficient and p-value, like science's version of a power duo, have sparked excitement akin to witnessing a perfectly executed experiment. It's as if Isaac Newton himself descended from the heavens and exclaimed, "Eureka! For every action of electricity generation, there is an equal and opposite reaction of online engagement!"

Our findings have truly charged the atmosphere of interdisciplinary research, proving that even seemingly unrelated variables can conduct a harmonious symphony of statistical significance. We've unraveled a current of correlation that crackles with significance, demonstrating that when it comes to human behavior and energy dynamics, there may be more common ground than meets the eye. It's like discovering a love for quantum physics in the midst of a particle collision – unexpected, but utterly electrifying.

As we bid adieu to this hair-raising journey into the realm of data analysis and correlation, we assert that further research in this area would be like trying to reinvent the wheel – unnecessary and likely to generate some resistance. This study stands as a shining beacon, guiding future researchers through the bright and electrifying pathways of interdisciplinary investigation. After all, when the data speaks so loudly, there's no need for additional echoes.

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 Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Energy Studies

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 Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Research Advancement and Knowledge Exploration (SQuRAKE)

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 Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos with an abstract of Generating electrifying findings, this research delves into the intriguing correlation between Angola's electricity generation and the total comments on SmarterEveryDay YouTube videos. Using data from the Energy Information Administration and YouTube, our research team uncovered a striking correlation coefficient of 0.9692281 and a p-value of less than 0.01 for the period spanning from 2007 to 2021. These findings spark a dynamic conversation, shedding light on the electrifying influence of energy generation on online engagement and revealing hidden currents in the digital landscape. Join us as we fuse quantitative analysis with a dash of humor and spark innovation in the field of interdisciplinary research.

ChatGPT:

Angola electricity generation, SmarterEveryDay, YouTube comments, correlation coefficient, Energy Information Administration, online engagement, digital landscape, quantitative analysis, interdisciplinary research

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

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Data details

Electricity generation in Angola
Detailed data title: Total electricity generation in Angola in billion kWh
Source: Energy Information Administration
See what else correlates with Electricity generation in Angola

Total comments on SmarterEveryDay YouTube videos
Detailed data title: Total comments on SmarterEveryDay YouTube videos.
Source: YouTube
See what else correlates with Total comments on SmarterEveryDay YouTube videos

Correlation r = 0.9692281 (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 = 0.9394031 (Coefficient of determination)
This means 93.9% of the change in the one variable (i.e., Total comments on SmarterEveryDay YouTube videos) is predictable based on the change in the other (i.e., Electricity generation in Angola) over the 15 years from 2007 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.7E-9.^Show 0.0000000027181699003645710000
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 2.7E-7% of random cases. Said differently, if you correlated 367,894,590 random variables^Note You don't actually need 367 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 14 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 14 because we have two variables measured over a period of 15 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.

[ 0.91, 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.

	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Electricity generation in Angola (Billion kWh)	3.1488	4.06368	4.60554	5.31724	5.52336	6.03408	7.97606	9.21666	9.30914	10.2035	10.676	12.8319	15.4	16.6	16.4294
Total comments on SmarterEveryDay YouTube videos (Total comments)	1410	4835	552	4399	33209	61287	101901	76347	108435	91359	91582	130177	189788	215106	179020

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([3.1488,4.06368,4.60554,5.31724,5.52336,6.03408,7.97606,9.21666,9.30914,10.2035,10.676,12.8319,15.4,16.6,16.4294,])
array_2 = np.array([1410,4835,552,4399,33209,61287,101901,76347,108435,91359,91582,130177,189788,215106,179020,])
array_1_name = "Electricity generation in Angola"
array_2_name = "Total comments on SmarterEveryDay YouTube videos"

# 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
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Line chart for only Electricity generation in Angola
Line chart for only Total comments on SmarterEveryDay YouTube videos
AI-generated correlation image
The spurious research paper: Shocking Rockings: Unlocking the Connection Between Angola's Electricity Generation and Total Engaging Comments on SmarterEveryDay YouTube Videos

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Correlation ID: 4785 · Black Variable ID: 23452 · Red Variable ID: 25507


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