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AI explanation
The surge in hydropower from the Dominican Republic is sparking a new wave of creativity in the region. The increased flow of clean energy is electrifying Dominican writers and fueling their imaginations, leading to a flood of captivating fiction that's making a splash in the literary world. It's like they say, when it reigns, it pours captivating stories, and the current is certainly in favor of these electrifying Dominican authors! So, it's not just the rivers in the Dominican Republic that are flowing, but also the ink of creativity, cascading into the literary landscape and leaving readers all amped up for these new tales!
Model: dalle-3
Prompt: A futuristic scene unfolds as a majestic hydroelectric dam looms over the rushing waters in the Dominican Republic. Its sleek, metal structure harmonizes with the natural power it harnesses. Meanwhile, in a buzzing, high-tech room within the futuristic skyscrapers of New York City, a group of authors sits surrounded by glowing, immersive technology. The energy from the hydroelectric dam transcends the ocean, manifesting as pulsing, vibrant streams of light that connect directly to the pens of the authors. As they write, a surge of inspiration electrifies their creative process, bringing their imaginative stories to life in a vivid display. The powerhouse of literary brilliance emerges as the creativity, fueled by the hydroelectric power, seamlessly flows into the world of New York Times Fiction Best Sellers, creating a dynamic and visually striking fusion of art and technology. 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: Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers. 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: Art nouveau Charcoal An image that looks like it is a scene from 'Star Wars' Sci-fi fantacy Futuristic
ChatGPT: Futuristic
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 Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers, in the following situation: The increased flow of energy from the Dominican Republic is revving up the creative juices of New York Times Fiction Best Sellers authors. The surge in hydroelectric power is electrifying their imaginations, causing a literal power surge in the literary world. The wave of inspiration is making a splash, as authors tap into the current of ideas flowing from the Caribbean. It's a real page-turner of a story, as the ebb and flow of energy from the Dominican Republic is sparking a plot twist in the best sellers list. It seems the Dominican Republic is not just generating electricity, but also generating a novel approach to storytelling in the Big Apple.. Keep the description simple.
ChatGPT: In the Dominican Republic, a powerful hydroelectric dam stands tall, harnessing the surging energy of the rushing waters. Meanwhile, across the ocean in New York City, a group of authors sit huddled in a buzzing room with vibrant energy. As they write, the effective surge of inspiration is powering their pens, and their imaginative stories come to life. The pulse of creativity, ignited by the Dominican Republic's hydroelectric power, flows seamlessly into the world of New York Times Fiction Best Sellers, creating a dynamic rhythm of literary brilliance.
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: [ Futuristic ] and depicting this scene: In the Dominican Republic, a powerful hydroelectric dam stands tall, harnessing the surging energy of the rushing waters. Meanwhile, across the ocean in New York City, a group of authors sit huddled in a buzzing room with vibrant energy. As they write, the effective surge of inspiration is powering their pens, and their imaginative stories come to life. The pulse of creativity, ignited by the Dominican Republic's hydroelectric power, flows seamlessly into the world of New York Times Fiction Best Sellers, creating a dynamic rhythm of literary brilliance. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: A futuristic scene unfolds as a majestic hydroelectric dam looms over the rushing waters in the Dominican Republic. Its sleek, metal structure harmonizes with the natural power it harnesses. Meanwhile, in a buzzing, high-tech room within the futuristic skyscrapers of New York City, a group of authors sits surrounded by glowing, immersive technology. The energy from the hydroelectric dam transcends the ocean, manifesting as pulsing, vibrant streams of light that connect directly to the pens of the authors. As they write, a surge of inspiration electrifies their creative process, bringing their imaginative stories to life in a vivid display. The powerhouse of literary brilliance emerges as the creativity, fueled by the hydroelectric power, seamlessly flows into the world of New York Times Fiction Best Sellers, creating a dynamic and visually striking fusion of art and technology.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Hydopower energy generated in Dominican Republic caused New York Times Fiction Best Sellers to increase. Include one good pun.
AI academic paper
 |
Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers The Journal of Literary Hydropower Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title punny if you can come up with clever pun. If not, make it sound serious.
Your research team used data from Energy Information Administration and Hawes to assess this nagging question. You found a correlation coefficient of 0.7277531 and p < 0.01 for 1980 to 2014.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers
[[ABSTRACT]]
This paper delves into the surprising connection between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers. With a current of excitement and a dam fine dataset at our fingertips, we delve into the electrifying relationship between renewable energy and literary success. Our research team harnessed data from the Energy Information Administration and Hawes to investigate this conundrum. Utilizing statistical analyses, we uncovered a shocking correlation coefficient of 0.7277531 and p < 0.01 for the period spanning 1980 to 2014. Just when you thought fiction and hydroelectricity were poles apart, our findings illuminate an unexpected current of connection. Let's say, when it comes to literary success, this research really makes a splash!
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers
[[ABSTRACT]]
This paper delves into the surprising connection between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers. With a current of excitement and a dam fine dataset at our fingertips, we delve into the electrifying relationship between renewable energy and literary success. Our research team harnessed data from the Energy Information Administration and Hawes to investigate this conundrum. Utilizing statistical analyses, we uncovered a shocking correlation coefficient of 0.7277531 and p < 0.01 for the period spanning 1980 to 2014. Just when you thought fiction and hydroelectricity were poles apart, our findings illuminate an unexpected current of connection. Let's say, when it comes to literary success, this research really makes a splash!
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The unlikely link between hydropower energy generation in the Dominican Republic and the New York Times Fiction Best Sellers list has sparked curiosity within academic and literary circles. While one might initially assume these two subjects to be as different as night and day, our research aims to shed light on the unexpected relationship between renewable energy production and the success of fiction novels. With the power of statistical analysis at our fingertips, we aim to surge through the data to unravel this enigmatic connection.
Now, you might be thinking, "What does the flow of water in the Dominican Republic have to do with the flow of words in the New York Times Best Sellers?" Well, we're here to make waves and uncover the currents that tie these seemingly disparate elements into a shocking synergistic relationship.
Picture this: What do you get when you cross a bestselling fiction novel with a hydroelectric dam? A "current" affair that electrifies both the literary and renewable energy landscapes, of course! But fear not, dear reader, as we navigate these pun-infused waters, we will stay firmly grounded in the rigorous application of statistical methods to uncover the truth behind this perplexing correlation.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.
Here is the title and abstract of the paper:
[[TITLE]]
Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers
[[ABSTRACT]]
This paper delves into the surprising connection between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers. With a current of excitement and a dam fine dataset at our fingertips, we delve into the electrifying relationship between renewable energy and literary success. Our research team harnessed data from the Energy Information Administration and Hawes to investigate this conundrum. Utilizing statistical analyses, we uncovered a shocking correlation coefficient of 0.7277531 and p < 0.01 for the period spanning 1980 to 2014. Just when you thought fiction and hydroelectricity were poles apart, our findings illuminate an unexpected current of connection. Let's say, when it comes to literary success, this research really makes a splash!
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The unlikely link between hydropower energy generation in the Dominican Republic and the New York Times Fiction Best Sellers list has sparked curiosity within academic and literary circles. While one might initially assume these two subjects to be as different as night and day, our research aims to shed light on the unexpected relationship between renewable energy production and the success of fiction novels. With the power of statistical analysis at our fingertips, we aim to surge through the data to unravel this enigmatic connection.
Now, you might be thinking, "What does the flow of water in the Dominican Republic have to do with the flow of words in the New York Times Best Sellers?" Well, we're here to make waves and uncover the currents that tie these seemingly disparate elements into a shocking synergistic relationship.
Picture this: What do you get when you cross a bestselling fiction novel with a hydroelectric dam? A "current" affair that electrifies both the literary and renewable energy landscapes, of course! But fear not, dear reader, as we navigate these pun-infused waters, we will stay firmly grounded in the rigorous application of statistical methods to uncover the truth behind this perplexing correlation.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The literature surrounding the interplay between hydropower energy generated in the Dominican Republic and New York Times Fiction Best Sellers is, to put it mildly, not as deep as the proverbial well of statistical analyses. Smith and Doe (2010) examined the trends in renewable energy production in the Caribbean, while Jones (2012) focused on the impact of hydropower on the economic development of the Dominican Republic. Despite such attempts to delve into the implications of hydropower, the direct connection between hydroelectricity and literary success remains largely unexplored. It's like entering uncharted territory, but with puns and power dynamics!
In "Energy Economics: Concepts, Issues, Markets, and Governance," the authors posit that the hydroelectric potential of the Dominican Republic remains largely untapped due to various economic and infrastructural challenges. This reminds me of a good dam joke: Why was the math book sad? Because it had too many problems. Similarly, the potential for a connection between hydropower and literary success in the New York Times Best Sellers list remains untapped and in need of exploration.
Turning to non-fiction works related to renewable energy and the publishing industry, "Hydropower Development in the Dominican Republic: The Challenges of Harnessing an Abundant Resource" provides insights into the potential and challenges of hydropower in the region. The prospect of bridging the gap between hydroelectricity and literary success is indeed a "novel" idea that requires further examination. Now, here's a shocking pun for you: I used to have a job at a hydroelectric plant, but then I got "bored."
As we venture into the world of fiction, titles such as "The Power" and "The Electric Hotel" evoke themes that could be tangentially related to the electrifying potential of hydropower and the literary landscape. Could the energy of hydropower be metaphorically flowing through the narratives of bestselling fiction works? It's as though we're turning the page to reveal not just literary currents, but electrical ones as well!
Further delving into non-conventional sources, it is worth noting a rather unorthodox approach to literature review conducted by this research team, involving a detailed analysis of randomly collected CVS receipts for any potential mention of hydropower energy and bestselling fiction novels. Alas, the results yielded little more than discounts on shampoo and a surprising number of candy purchases. But fear not, dear reader, for we remain firmly anchored in the world of credible research and statistical analyses!
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Hawes . You used data from 1980 to 2014
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]]
Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers
[[ABSTRACT]]
This paper delves into the surprising connection between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers. With a current of excitement and a dam fine dataset at our fingertips, we delve into the electrifying relationship between renewable energy and literary success. Our research team harnessed data from the Energy Information Administration and Hawes to investigate this conundrum. Utilizing statistical analyses, we uncovered a shocking correlation coefficient of 0.7277531 and p < 0.01 for the period spanning 1980 to 2014. Just when you thought fiction and hydroelectricity were poles apart, our findings illuminate an unexpected current of connection. Let's say, when it comes to literary success, this research really makes a splash!
[[INTRODUCTION]]
The unlikely link between hydropower energy generation in the Dominican Republic and the New York Times Fiction Best Sellers list has sparked curiosity within academic and literary circles. While one might initially assume these two subjects to be as different as night and day, our research aims to shed light on the unexpected relationship between renewable energy production and the success of fiction novels. With the power of statistical analysis at our fingertips, we aim to surge through the data to unravel this enigmatic connection.
Now, you might be thinking, "What does the flow of water in the Dominican Republic have to do with the flow of words in the New York Times Best Sellers?" Well, we're here to make waves and uncover the currents that tie these seemingly disparate elements into a shocking synergistic relationship.
Picture this: What do you get when you cross a bestselling fiction novel with a hydroelectric dam? A "current" affair that electrifies both the literary and renewable energy landscapes, of course! But fear not, dear reader, as we navigate these pun-infused waters, we will stay firmly grounded in the rigorous application of statistical methods to uncover the truth behind this perplexing correlation.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
Sample Selection:
To tackle the electrifying question of the connection between hydropower energy generated in the Dominican Republic and New York Times Fiction Best Sellers, our research team embarked on a journey that would make even the most seasoned statisticians do a double take. We initially selected a sample of hydroelectric power production data from the Energy Information Administration, focusing on the period from 1980 to 2014. As for the literary counterpart, we sourced the New York Times Fiction Best Sellers list, amassing a river of information from Hawes that flowed from the same time frame. Our sample selection process was as meticulous as a hydroelectric engineer inspecting a turbine, ensuring that we harnessed data representative of both the energy landscape in the Dominican Republic and the literary successes gracing the Best Sellers list.
Statistical Analyses:
With our datasets in hand, we dove into the statistical depths, ready to ride the waves of analysis and test the currents of correlation. First, we computed the correlation coefficient between hydropower energy generation in the Dominican Republic and the appearance of fiction novels on the illustrious Times list. Our calculations burst forth with a correlation coefficient of 0.7277531, accompanied by a p-value of less than 0.01, demonstrating a statistically significant relationship between these seemingly unrelated phenomena. It's almost as shocking as finding out your favorite author moonlights as a hydroelectric engineer! This statistical shocker had us reeling, reinforcing the notion that truth can indeed be stranger than fiction.
Regression Analysis:
To further navigate the hydro-powered connection between the Dominican Republic and New York Times Fiction Best Sellers, we cast our statistical net wider and conducted a multiple regression analysis. We sought to untangle the web of variables that might impact this captivating correlation. Our robust model unraveled the complex interaction of hydroelectric power production, literary success, and other influential factors, providing a deeper understanding of this intriguing relationship. This isn't just a case of water under the bridge – our multiple regression analysis plunged headfirst into the depths, surfacing with illuminating insights into the interconnected nature of renewable energy and literary triumphs.
In conclusion, our research methodology deftly navigated the ebbs and flows of statistical analysis, unravelling an unexpected and compelling connection between hydropower energy in the Dominican Republic and the illustrious New York Times Fiction Best Sellers. Our findings demonstrate that beneath the surface of seemingly unrelated phenomena, there lies an electrifying current that ties literature and renewable energy production together in a way that's statistically significant, and quite frankly, quite the page-turner.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Hawes .
For the time period 1980 to 2014, you found a correlation 0.7277531, r-squared of 0.5296246, 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]]
Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers
[[ABSTRACT]]
This paper delves into the surprising connection between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers. With a current of excitement and a dam fine dataset at our fingertips, we delve into the electrifying relationship between renewable energy and literary success. Our research team harnessed data from the Energy Information Administration and Hawes to investigate this conundrum. Utilizing statistical analyses, we uncovered a shocking correlation coefficient of 0.7277531 and p < 0.01 for the period spanning 1980 to 2014. Just when you thought fiction and hydroelectricity were poles apart, our findings illuminate an unexpected current of connection. Let's say, when it comes to literary success, this research really makes a splash!
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The unlikely link between hydropower energy generation in the Dominican Republic and the New York Times Fiction Best Sellers list has sparked curiosity within academic and literary circles. While one might initially assume these two subjects to be as different as night and day, our research aims to shed light on the unexpected relationship between renewable energy production and the success of fiction novels. With the power of statistical analysis at our fingertips, we aim to surge through the data to unravel this enigmatic connection.
Now, you might be thinking, "What does the flow of water in the Dominican Republic have to do with the flow of words in the New York Times Best Sellers?" Well, we're here to make waves and uncover the currents that tie these seemingly disparate elements into a shocking synergistic relationship.
Picture this: What do you get when you cross a bestselling fiction novel with a hydroelectric dam? A "current" affair that electrifies both the literary and renewable energy landscapes, of course! But fear not, dear reader, as we navigate these pun-infused waters, we will stay firmly grounded in the rigorous application of statistical methods to uncover the truth behind this perplexing correlation.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The investigation into the relationship between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers revealed a surprising correlation. The correlation coefficient of 0.7277531 demonstrated a moderately strong positive relationship between these two seemingly unrelated domains. This finding suggests that as hydropower energy generation in the Dominican Republic increased, there was a corresponding tendency for more fiction novels to make their mark on the New York Times Best Sellers list.
In the world of statistical analysis, a correlation coefficient of this magnitude is nothing to brush off like water off a duck's back. This result provides solid evidence of a tangible link between the flow of hydropower energy and the flow of successful fiction novels. It seems that there's more than just a current of water running through the pages of these best sellers.
The r-squared value of 0.5296246 further supports the substantial impact of hydropower energy generation in the Dominican Republic on the success of fiction novels in the literary market. This indicates that approximately 53% of the variability in fiction best seller success can be explained by the variations in hydropower energy production. Who would have thought that the ebb and flow of hydropower could have such a profound influence on the ebb and flow of literary fame?
Additionally, the p-value of less than 0.01 provides strong evidence to reject the null hypothesis, further reinforcing the significance of the relationship between these two variables. It's safe to say that the connection between hydropower energy generation in the Dominican Republic and New York Times fiction best sellers is more than just a coincidence; it holds statistical water.
To visually illustrate the documented correlation, a scatterplot (Fig. 1) is presented, showcasing the unmistakable pattern of association between hydropower energy generation in the Dominican Republic and the success of fiction novels on the New York Times Best Sellers list. This figure emphasizes the robustness of the observed relationship and showcases the undeniable synergy between these unexpected partners in success.
In conclusion, the results of this study highlight the unanticipated link between hydropower energy generation in the Dominican Republic and the success of fiction novels in the New York Times Best Sellers list. This unexpected current of connection defies conventional wisdom and emphasizes the importance of considering unconventional influences on literary success. It's clear that in the world of statistics, there's always a "dam" surprising result waiting to be uncovered.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers
[[ABSTRACT]]
This paper delves into the surprising connection between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers. With a current of excitement and a dam fine dataset at our fingertips, we delve into the electrifying relationship between renewable energy and literary success. Our research team harnessed data from the Energy Information Administration and Hawes to investigate this conundrum. Utilizing statistical analyses, we uncovered a shocking correlation coefficient of 0.7277531 and p < 0.01 for the period spanning 1980 to 2014. Just when you thought fiction and hydroelectricity were poles apart, our findings illuminate an unexpected current of connection. Let's say, when it comes to literary success, this research really makes a splash!
[[LITERATURE REVIEW]]
The literature surrounding the interplay between hydropower energy generated in the Dominican Republic and New York Times Fiction Best Sellers is, to put it mildly, not as deep as the proverbial well of statistical analyses. Smith and Doe (2010) examined the trends in renewable energy production in the Caribbean, while Jones (2012) focused on the impact of hydropower on the economic development of the Dominican Republic. Despite such attempts to delve into the implications of hydropower, the direct connection between hydroelectricity and literary success remains largely unexplored. It's like entering uncharted territory, but with puns and power dynamics!
In "Energy Economics: Concepts, Issues, Markets, and Governance," the authors posit that the hydroelectric potential of the Dominican Republic remains largely untapped due to various economic and infrastructural challenges. This reminds me of a good dam joke: Why was the math book sad? Because it had too many problems. Similarly, the potential for a connection between hydropower and literary success in the New York Times Best Sellers list remains untapped and in need of exploration.
Turning to non-fiction works related to renewable energy and the publishing industry, "Hydropower Development in the Dominican Republic: The Challenges of Harnessing an Abundant Resource" provides insights into the potential and challenges of hydropower in the region. The prospect of bridging the gap between hydroelectricity and literary success is indeed a "novel" idea that requires further examination. Now, here's a shocking pun for you: I used to have a job at a hydroelectric plant, but then I got "bored."
As we venture into the world of fiction, titles such as "The Power" and "The Electric Hotel" evoke themes that could be tangentially related to the electrifying potential of hydropower and the literary landscape. Could the energy of hydropower be metaphorically flowing through the narratives of bestselling fiction works? It's as though we're turning the page to reveal not just literary currents, but electrical ones as well!
Further delving into non-conventional sources, it is worth noting a rather unorthodox approach to literature review conducted by this research team, involving a detailed analysis of randomly collected CVS receipts for any potential mention of hydropower energy and bestselling fiction novels. Alas, the results yielded little more than discounts on shampoo and a surprising number of candy purchases. But fear not, dear reader, for we remain firmly anchored in the world of credible research and statistical analyses!
[[RESULTS]]
The investigation into the relationship between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers revealed a surprising correlation. The correlation coefficient of 0.7277531 demonstrated a moderately strong positive relationship between these two seemingly unrelated domains. This finding suggests that as hydropower energy generation in the Dominican Republic increased, there was a corresponding tendency for more fiction novels to make their mark on the New York Times Best Sellers list.
In the world of statistical analysis, a correlation coefficient of this magnitude is nothing to brush off like water off a duck's back. This result provides solid evidence of a tangible link between the flow of hydropower energy and the flow of successful fiction novels. It seems that there's more than just a current of water running through the pages of these best sellers.
The r-squared value of 0.5296246 further supports the substantial impact of hydropower energy generation in the Dominican Republic on the success of fiction novels in the literary market. This indicates that approximately 53% of the variability in fiction best seller success can be explained by the variations in hydropower energy production. Who would have thought that the ebb and flow of hydropower could have such a profound influence on the ebb and flow of literary fame?
Additionally, the p-value of less than 0.01 provides strong evidence to reject the null hypothesis, further reinforcing the significance of the relationship between these two variables. It's safe to say that the connection between hydropower energy generation in the Dominican Republic and New York Times fiction best sellers is more than just a coincidence; it holds statistical water.
To visually illustrate the documented correlation, a scatterplot (Fig. 1) is presented, showcasing the unmistakable pattern of association between hydropower energy generation in the Dominican Republic and the success of fiction novels on the New York Times Best Sellers list. This figure emphasizes the robustness of the observed relationship and showcases the undeniable synergy between these unexpected partners in success.
In conclusion, the results of this study highlight the unanticipated link between hydropower energy generation in the Dominican Republic and the success of fiction novels in the New York Times Best Sellers list. This unexpected current of connection defies conventional wisdom and emphasizes the importance of considering unconventional influences on literary success. It's clear that in the world of statistics, there's always a "dam" surprising result waiting to be uncovered.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our findings not only support the uncharted hypothesis of a relationship between hydropower energy generated in the Dominican Republic and New York Times Fiction Best Sellers but also shed light on the electrifying impact of renewable energy on the literary landscape. It is plausible to envision the flow of hydropower energy as an invisible current that not only powers turbines but also propels fiction novels into the mainstream literary sphere. It seems that these two seemingly distinct domains are more interconnected than we previously surmised, much like a well-crafted pun snuck into a serious academic discussion.
Taking a closer look at the literature review, which provided the initial spark for our research endeavor, we can see that the existing works touched upon the economic and infrastructural facets of hydropower energy generation in the Dominican Republic. Our findings not only concur with these prior studies but also pave the way for a more expansive exploration of the interdisciplinary implications of renewable energy sources. Much like a dam joke, the alignment of our results with these previous works brings a sense of coherence and continuity to the scholarly discourse.
Moreover, the non-conventional approach to literature review, involving an analysis of randomly collected CVS receipts, although yielding humorous anecdotes, emphasizes the methodological rigor and dedication to exhaustively exploring all potential avenues of inquiry. While the whimsical nature of this approach may elicit a chuckle or two, its underlying commitment to thoroughness encapsulates the essence of scholarly curiosity and diligence.
In line with the urbane tone of our literature review, our results not only validate the initial hypothesis but also present a statistically robust demonstration of the relationship between hydropower energy generation in the Dominican Republic and the success of fiction novels in the New York Times Best Sellers list. The substantial correlation coefficient and r-squared value incontrovertibly underscore the magnitude of this previously unexplored connection, akin to a captivating plot twist in a bestselling thriller.
In essence, our findings not only contribute to the burgeoning field of interdisciplinary research but also evoke a renewed appreciation for the multifaceted influences that shape literary success. This study serves as a testament to the unexpected currents and undercurrents that permeate the realms of renewable energy and literature, reminding us that in the domain of statistical analyses, there's always room for a "dam" good surprise.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Hydopower energy generated in Dominican Republic and New York Times Fiction Best Sellers. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers
[[ABSTRACT]]
This paper delves into the surprising connection between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers. With a current of excitement and a dam fine dataset at our fingertips, we delve into the electrifying relationship between renewable energy and literary success. Our research team harnessed data from the Energy Information Administration and Hawes to investigate this conundrum. Utilizing statistical analyses, we uncovered a shocking correlation coefficient of 0.7277531 and p < 0.01 for the period spanning 1980 to 2014. Just when you thought fiction and hydroelectricity were poles apart, our findings illuminate an unexpected current of connection. Let's say, when it comes to literary success, this research really makes a splash!
[[INTRDUCTION]]
The unlikely link between hydropower energy generation in the Dominican Republic and the New York Times Fiction Best Sellers list has sparked curiosity within academic and literary circles. While one might initially assume these two subjects to be as different as night and day, our research aims to shed light on the unexpected relationship between renewable energy production and the success of fiction novels. With the power of statistical analysis at our fingertips, we aim to surge through the data to unravel this enigmatic connection.
Now, you might be thinking, "What does the flow of water in the Dominican Republic have to do with the flow of words in the New York Times Best Sellers?" Well, we're here to make waves and uncover the currents that tie these seemingly disparate elements into a shocking synergistic relationship.
Picture this: What do you get when you cross a bestselling fiction novel with a hydroelectric dam? A "current" affair that electrifies both the literary and renewable energy landscapes, of course! But fear not, dear reader, as we navigate these pun-infused waters, we will stay firmly grounded in the rigorous application of statistical methods to uncover the truth behind this perplexing correlation.
[[RESULTS]]
The investigation into the relationship between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers revealed a surprising correlation. The correlation coefficient of 0.7277531 demonstrated a moderately strong positive relationship between these two seemingly unrelated domains. This finding suggests that as hydropower energy generation in the Dominican Republic increased, there was a corresponding tendency for more fiction novels to make their mark on the New York Times Best Sellers list.
In the world of statistical analysis, a correlation coefficient of this magnitude is nothing to brush off like water off a duck's back. This result provides solid evidence of a tangible link between the flow of hydropower energy and the flow of successful fiction novels. It seems that there's more than just a current of water running through the pages of these best sellers.
The r-squared value of 0.5296246 further supports the substantial impact of hydropower energy generation in the Dominican Republic on the success of fiction novels in the literary market. This indicates that approximately 53% of the variability in fiction best seller success can be explained by the variations in hydropower energy production. Who would have thought that the ebb and flow of hydropower could have such a profound influence on the ebb and flow of literary fame?
Additionally, the p-value of less than 0.01 provides strong evidence to reject the null hypothesis, further reinforcing the significance of the relationship between these two variables. It's safe to say that the connection between hydropower energy generation in the Dominican Republic and New York Times fiction best sellers is more than just a coincidence; it holds statistical water.
To visually illustrate the documented correlation, a scatterplot (Fig. 1) is presented, showcasing the unmistakable pattern of association between hydropower energy generation in the Dominican Republic and the success of fiction novels on the New York Times Best Sellers list. This figure emphasizes the robustness of the observed relationship and showcases the undeniable synergy between these unexpected partners in success.
In conclusion, the results of this study highlight the unanticipated link between hydropower energy generation in the Dominican Republic and the success of fiction novels in the New York Times Best Sellers list. This unexpected current of connection defies conventional wisdom and emphasizes the importance of considering unconventional influences on literary success. It's clear that in the world of statistics, there's always a "dam" surprising result waiting to be uncovered.
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Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In the currents of statistical analysis, our research has surged to illuminate the shocking connection between hydropower energy generation in the Dominican Republic and the success of fiction novels in the New York Times Best Sellers list. The moderately strong positive correlation coefficient of 0.7277531 flows through our study, revealing that as hydropower energy production increased in the Dominican Republic, so did the likelihood of fiction novels making waves on the prestigious best seller list.
Our findings splash cold water on the assumption that these disparate domains could not be interconnected. However, it seems that when it comes to literary success, there's more than just a "novel" approach at play. It appears that the flow of water in the Dominican Republic can indeed influence the "flow" of words in best-selling fiction! Seems like a "current" affair, doesn't it?
The substantial r-square value of 0.5296246 further propels our understanding of this enthralling relationship, emphasizing the sizable impact of hydropower energy generation on the variability in fiction best seller success. With a p-value of less than 0.01, the evidence unequivocally supports the rejection of the null hypothesis, leaving the undeniable conclusion that this connection "holds water."
In light of this, it seems that our research has made quite a "splash" in elucidating this unexpected link between renewable energy and literary triumph. At this juncture, it's safe to say that the "current" state of knowledge in this area has been thoroughly illuminated. It appears no further research is needed to dam the flow of insights that this study has provided.
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 Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Literary Hydropower 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 Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers. Respond only with the name of a fictional organization.
ChatGPT:
The Association for Transcontinental Literary Hydrology
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 Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers with an abstract of This paper delves into the surprising connection between hydropower energy generated in the Dominican Republic and New York Times fiction best sellers. With a current of excitement and a dam fine dataset at our fingertips, we delve into the electrifying relationship between renewable energy and literary success. Our research team harnessed data from the Energy Information Administration and Hawes to investigate this conundrum. Utilizing statistical analyses, we uncovered a shocking correlation coefficient of 0.7277531 and p < 0.01 for the period spanning 1980 to 2014. Just when you thought fiction and hydroelectricity were poles apart, our findings illuminate an unexpected current of connection. Let's say, when it comes to literary success, this research really makes a splash!
ChatGPT:
Dominican Republic, New York Times, fiction best sellers, hydropower energy, renewable energy, literature, Energy Information Administration, statistical analysis, correlation coefficient, hydroelectricity, literary success, data analysis, research, relationship, connection, dataset
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Hydopower energy generated in Dominican RepublicDetailed data title: Total hydopower energy generated in Dominican Republic in billion kWh
Source: Energy Information Administration
See what else correlates with Hydopower energy generated in Dominican Republic
New York Times Fiction Best Sellers
Detailed data title: Number of unique fictional books on the New York Times Best Seller List (counting repeat books only once)
Source: Hawes
See what else correlates with New York Times Fiction Best Sellers
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 = 0.5296246 (Coefficient of determination)
This means 53% of the change in the one variable (i.e., New York Times Fiction Best Sellers) is predictable based on the change in the other (i.e., Hydopower energy generated in Dominican Republic) over the 35 years from 1980 through 2014.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 7.3E-7. 0.0000007283085700627902000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.73 in 7.3E-5% of random cases. Said differently, if you correlated 1,373,044 random variables You don't actually need 1 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 34 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 34 because we have two variables measured over a period of 35 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.
[ 0.52, 0.85 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | |
| Hydopower energy generated in Dominican Republic (Billion kWh) | 0.572 | 0.809 | 0.749 | 0.772 | 0.509 | 1.025 | 0.891 | 0.94 | 0.842 | 0.592 | 0.391 | 0.552 | 0.528 | 1.118 | 0.528 | 0.598 | 0.854 | 0.658 | 0.726 | 1.088 | 0.754 | 0.696 | 0.871 | 1.193 | 1.6 | 1.908 | 1.75 | 1.701 | 1.384 | 1.464 | 1.435 | 1.531 | 1.784 | 1.883 | 1.323 |
| New York Times Fiction Best Sellers (NYT Best Sellers) | 7 | 5 | 6 | 6 | 7 | 10 | 9 | 9 | 7 | 9 | 10 | 9 | 10 | 5 | 10 | 9 | 12 | 10 | 13 | 12 | 14 | 21 | 23 | 14 | 14 | 23 | 20 | 20 | 34 | 35 | 31 | 36 | 35 | 31 | 20 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0.572,0.809,0.749,0.772,0.509,1.025,0.891,0.94,0.842,0.592,0.391,0.552,0.528,1.118,0.528,0.598,0.854,0.658,0.726,1.088,0.754,0.696,0.871,1.193,1.6,1.908,1.75,1.701,1.384,1.464,1.435,1.531,1.784,1.883,1.323,])
array_2 = np.array([7,5,6,6,7,10,9,9,7,9,10,9,10,5,10,9,12,10,13,12,14,21,23,14,14,23,20,20,34,35,31,36,35,31,20,])
array_1_name = "Hydopower energy generated in Dominican Republic"
array_2_name = "New York Times Fiction Best Sellers"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Hydopower energy generated in Dominican Republic
- Line chart for only New York Times Fiction Best Sellers
- AI-generated correlation image
- The spurious research paper: Flowing Words: Uncovering the Hydro-Powered Connection between the Dominican Republic and New York Times Fiction Best Sellers
I'm genuinely thankful for your rating!
Correlation ID: 1366 · Black Variable ID: 23636 · Red Variable ID: 96
