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AI explanation
As the music leadership in Hawaii dwindled, so did the inspiration for catchy tunes. This, in turn, led to a worldwide decrease in earworms. With fewer people unintentionally humming musical refrains, there was a noticeable dip in human kinetic energy. And as we all know, Germany relies heavily on the subtle, unconscious movements of its populace to generate electricity through the highly classified technology known as the Wiener-dance Generator. With the music mojo taking a hit in Hawaii, the Germans found themselves literally unable to keep the power flowing. Or perhaps it's just a shocking coincidence!
Model: dalle-3
Prompt: Generate an image simulating a Discovery magazine cover with a captivating scene: In Hawaii, a group of diverse musicians and composers gathers on a sun-kissed beach, surrounded by lush greenery and gentle waves. They are joyfully playing their instruments, and vibrant musical notes in various hues float around them, blending harmoniously with the natural surroundings. Meanwhile, in Germany, industrial power plants stand tall against a deep blue sky, emitting vibrant streams of energy that seem to resonate with the music from Hawaii. The scene beautifully captures the interconnectedness of music and energy, with the Earth's magnetic field acting as a conduit for this mesmerizing symphony. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: The number of music directors and composers in Hawaii and Electricity generation in Germany. 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: A Discovery magazine cover image Sci-fi fantacy Oragami An image that looks like it is a scene from A Disney Movie A Discovery magazine cover image
ChatGPT: A Discovery magazine cover image
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both The number of music directors and composers in Hawaii and Electricity generation in Germany, in the following situation: The increased musical vibrations from Hawaii were being picked up by the Earth's magnetic field and somehow boosting the efficiency of German power plants. It's like a giant, unintentional, musical energy exchange program between the islands and the mainland!. Keep the description simple.
ChatGPT: In Hawaii, a group of music directors and composers are gathered on the beach, playing their instruments and creating beautiful melodies. The musical notes ripple through the air, and in Germany, a series of power plants hum with energy. A mesmerizing symphony of music seems to be flowing through the Earth's magnetic field, enhancing the electricity generation in Germany.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A Discovery magazine cover image ] and depicting this scene: In Hawaii, a group of music directors and composers are gathered on the beach, playing their instruments and creating beautiful melodies. The musical notes ripple through the air, and in Germany, a series of power plants hum with energy. A mesmerizing symphony of music seems to be flowing through the Earth's magnetic field, enhancing the electricity generation in Germany. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image simulating a Discovery magazine cover with a captivating scene: In Hawaii, a group of diverse musicians and composers gathers on a sun-kissed beach, surrounded by lush greenery and gentle waves. They are joyfully playing their instruments, and vibrant musical notes in various hues float around them, blending harmoniously with the natural surroundings. Meanwhile, in Germany, industrial power plants stand tall against a deep blue sky, emitting vibrant streams of energy that seem to resonate with the music from Hawaii. The scene beautifully captures the interconnectedness of music and energy, with the Earth's magnetic field acting as a conduit for this mesmerizing symphony.
*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 a decrease in The number of music directors and composers in Hawaii caused Electricity generation in Germany to decrease.
AI academic paper
 |
Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany The Journal of Transnational Consonance 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 The number of music directors and composers in Hawaii and Electricity generation in Germany. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title a clever pun.
Your research team used data from Bureau of Larbor Statistics and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.8506721 and p < 0.01 for 2003 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany
[[ABSTRACT]]
This research delves into the intersecting realms of music and energy by examining the unique relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our study scrutinizes the statistical connection between these seemingly disparate factors. We employed advanced statistical analysis to calculate a correlation coefficient of 0.8506721 and established a significant p-value of less than 0.01, indicating a robust association between the variables from 2003 to 2021. Our findings provoke further contemplation of the potential influences of cultural and economic dynamics on energy production, while also presenting a whimsical juxtaposition of artistic creativity and technological innovation.
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 The number of music directors and composers in Hawaii and Electricity generation in Germany. 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.
Here is the title and abstract of the paper:
[[TITLE]]
Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany
[[ABSTRACT]]
This research delves into the intersecting realms of music and energy by examining the unique relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our study scrutinizes the statistical connection between these seemingly disparate factors. We employed advanced statistical analysis to calculate a correlation coefficient of 0.8506721 and established a significant p-value of less than 0.01, indicating a robust association between the variables from 2003 to 2021. Our findings provoke further contemplation of the potential influences of cultural and economic dynamics on energy production, while also presenting a whimsical juxtaposition of artistic creativity and technological innovation.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The intertwining of seemingly unrelated variables has long captivated the curious minds of researchers, often leading to intriguing discoveries and unexpected revelations. In the domain of music and energy, the relationship between the number of music directors and composers in Hawaii and electricity generation in Germany is an unprecedented juxtaposition that is as harmonious as it is electrifying. This study embarks on a symphonic endeavor to unravel the enigmatic connection between these two seemingly disparate elements, weaving a melodic tale of statistical intrigue and empirical curiosity.
The juxtaposition of music directors and composers in the tropical paradise of Hawaii with the electrifying energy landscape of Germany may seem like a motley assortment of notes on first impression. However, as we dive deeper into the data and wield the tools of statistics with adept precision, we find that there is more than meets the eye - or the ear, for that matter. As we seek to explore this unconventional harmony, our endeavor is not merely about the confluence of statistical variables; it is about orchestrating a narrative that harmonizes the realms of culture and technology, art and innovation, and melody and kilowatts.
As we march to the crescendo of this paper, our analysis weaves a symphony of statistical significance, delving into the multifaceted interplay between the artistic fervor of music and the mechanical currents of energy generation. Our study aims to strike a chord with the scholarly community, shedding light on the potential implications of cultural dynamics on the production of energy, all while playing a lighthearted tune on the unexpected parallels between an orchestra conductor and a power grid operator.
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 The number of music directors and composers in Hawaii and Electricity generation in Germany. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some cartoons and childrens' shows that you watched that are related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany
[[ABSTRACT]]
This research delves into the intersecting realms of music and energy by examining the unique relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our study scrutinizes the statistical connection between these seemingly disparate factors. We employed advanced statistical analysis to calculate a correlation coefficient of 0.8506721 and established a significant p-value of less than 0.01, indicating a robust association between the variables from 2003 to 2021. Our findings provoke further contemplation of the potential influences of cultural and economic dynamics on energy production, while also presenting a whimsical juxtaposition of artistic creativity and technological innovation.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intertwining of seemingly unrelated variables has long captivated the curious minds of researchers, often leading to intriguing discoveries and unexpected revelations. In the domain of music and energy, the relationship between the number of music directors and composers in Hawaii and electricity generation in Germany is an unprecedented juxtaposition that is as harmonious as it is electrifying. This study embarks on a symphonic endeavor to unravel the enigmatic connection between these two seemingly disparate elements, weaving a melodic tale of statistical intrigue and empirical curiosity.
The juxtaposition of music directors and composers in the tropical paradise of Hawaii with the electrifying energy landscape of Germany may seem like a motley assortment of notes on first impression. However, as we dive deeper into the data and wield the tools of statistics with adept precision, we find that there is more than meets the eye - or the ear, for that matter. As we seek to explore this unconventional harmony, our endeavor is not merely about the confluence of statistical variables; it is about orchestrating a narrative that harmonizes the realms of culture and technology, art and innovation, and melody and kilowatts.
As we march to the crescendo of this paper, our analysis weaves a symphony of statistical significance, delving into the multifaceted interplay between the artistic fervor of music and the mechanical currents of energy generation. Our study aims to strike a chord with the scholarly community, shedding light on the potential implications of cultural dynamics on the production of energy, all while playing a lighthearted tune on the unexpected parallels between an orchestra conductor and a power grid operator.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "Musical Compositions and Electric Kettles: Exploring Unlikely Alliances" by Smith, the authors find that the correlation between the number of music directors and composers in Hawaii and electricity generation in Germany is a topic deserving of scholarly attention. This seemingly curious association sets the stage for our investigation into the realms of cultural expression and energy production, prompting a delightful synergy between the baton-wielding conductors of symphonies and the conductive pathways of electrical grids.
Adding a whimsical spin to our review, Doe et al. in "Symphonic Waves: A Sonata of Statistical Relationships" draw attention to the rhythmically synchronous fluctuations observed in the phenomenon under scrutiny. This serendipitous synchronicity opens the door to exploring the potential harmonies and crescendos of statistical significance that emerge from examining the playful interplay between the creative energies of musical talent and the electrifying forces harnessed in power generation.
As we further survey the landscape of literature, it is impossible to disregard the seminal work of Jones in "Harmonious Energies: A Conductor's Guide to Electricity Generation," where a metaphorical baton directs our attention towards the intricate choreography of statistical association. The meticulously orchestrated connection between these seemingly incongruent variables invites us to harmonize our understanding of music and electricity, conducting a symphony of statistical inquiry and intellectual merrymaking.
Expanding our repertoire of references, "The Spark of Symphony" by Mozart and "The Electrifying Overture" by Beethoven present fictitious accounts of orchestral brilliance and dazzling electrical displays that, while not academic in nature, inspire the whimsical reverie that undergirds our investigation. The playful spirit of creativity and discovery enshrined in these works serves as a vibrant testament to the lively interplay between the artistic fervor of music and the dynamic currents of energy generation.
In a crescendo of scholarly exploration, we must also acknowledge the formative influence of childhood cartoons and animated series, such as "The Magic School Bus" and "Little Einsteins," which, while not directly related to academic literature, provided early exposure to the mystique of science and music, igniting a youthful fascination with the potential intersections of creativity and technical ingenuity. These childhood musings now find resonance in our rigorous quantitative analysis, as we navigate the complex interconnections between melody and megawatts with the same spirit of wonder and enthusiasm.
In sum, the literature surrounding the curious relationship between the number of music directors and composers in Hawaii and electricity generation in Germany reveals a rich tapestry of intellectual inquiry, spiced with a whimsical charm and a playful spirit that resonates with our own scholarly pursuit.
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 The number of music directors and composers in Hawaii and Electricity generation in Germany. 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 Bureau of Larbor Statistics and Energy Information Administration . You used data from 2003 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]]
Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany
[[ABSTRACT]]
This research delves into the intersecting realms of music and energy by examining the unique relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our study scrutinizes the statistical connection between these seemingly disparate factors. We employed advanced statistical analysis to calculate a correlation coefficient of 0.8506721 and established a significant p-value of less than 0.01, indicating a robust association between the variables from 2003 to 2021. Our findings provoke further contemplation of the potential influences of cultural and economic dynamics on energy production, while also presenting a whimsical juxtaposition of artistic creativity and technological innovation.
[[INTRODUCTION]]
The intertwining of seemingly unrelated variables has long captivated the curious minds of researchers, often leading to intriguing discoveries and unexpected revelations. In the domain of music and energy, the relationship between the number of music directors and composers in Hawaii and electricity generation in Germany is an unprecedented juxtaposition that is as harmonious as it is electrifying. This study embarks on a symphonic endeavor to unravel the enigmatic connection between these two seemingly disparate elements, weaving a melodic tale of statistical intrigue and empirical curiosity.
The juxtaposition of music directors and composers in the tropical paradise of Hawaii with the electrifying energy landscape of Germany may seem like a motley assortment of notes on first impression. However, as we dive deeper into the data and wield the tools of statistics with adept precision, we find that there is more than meets the eye - or the ear, for that matter. As we seek to explore this unconventional harmony, our endeavor is not merely about the confluence of statistical variables; it is about orchestrating a narrative that harmonizes the realms of culture and technology, art and innovation, and melody and kilowatts.
As we march to the crescendo of this paper, our analysis weaves a symphony of statistical significance, delving into the multifaceted interplay between the artistic fervor of music and the mechanical currents of energy generation. Our study aims to strike a chord with the scholarly community, shedding light on the potential implications of cultural dynamics on the production of energy, all while playing a lighthearted tune on the unexpected parallels between an orchestra conductor and a power grid operator.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
In order to disentangle the seemingly eclectic relationship between the number of music directors and composers in Hawaii and electricity generation in Germany, we employed a multifaceted approach that harmonized empirical data gathering, statistical analysis, and a touch of whimsical curiosity. Our research synthesized data from the Bureau of Labor Statistics and the Energy Information Administration, covering the years 2003 to 2021. This allowed us to capture the crescendos and diminuendos of the variables over a substantial period, ensuring a thorough exploration of their harmonious interplay.
Data Collection: Our research ensemble embarked on a virtuosic quest across the digital symphony of information, traversing the internet to source relevant data on the number of music directors and composers in Hawaii and electricity generation in Germany. The Bureau of Labor Statistics and the Energy Information Administration served as the principal stages for our data orchestration, providing a crescendo of meticulous records that formed the notes of our empirical score. This compilation of data was akin to assembling the diverse instrumental sections of an orchestra, each bringing its unique timbre to the symphony of statistical analysis.
Statistical Analysis: Just as a conductor guides the harmonious synchronization of musical instruments, we deftly wielded statistical tools to unravel the intricate nuances of the relationship between our variables. We orchestrated a crescendo of statistical analyses, including correlation coefficients, regression models, and time series analysis, lending a melodic structure to our empirical inquiry. Our use of advanced statistical techniques served as the baton that directed the interpretative dance of the variables, illuminating the symphonic connection between the number of music directors and composers in Hawaii and electricity generation in Germany.
Symphonic Interpretation: As we engaged in the allegro of statistical exploration, we were mindful of the need to appreciate the subtleties and crescendos within our data ensemble. Our investigation sought to not only unravel the statistical harmony between music and energy but also to evoke a whimsical appreciation for the interplay of cultural dynamics and technological prowess. Just as a maestro infuses life into musical compositions, we endeavored to present our findings with a flourish, advocating for contemplation of the whimsical juxtaposition of artistic creativity and technological innovation.
Rigorous validation processes and sensitivity analyses were also incorporated to ensure the robustness and resilience of our findings, akin to the meticulous tuning of musical instruments to achieve perfect resonance. Ultimately, our methodology encapsulated the fusion of empirical diligence and playful curiosity, creating a harmonious balance in our symphonic exploration of the interplay between music and energy.
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 The number of music directors and composers in Hawaii and Electricity generation in Germany. 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 Bureau of Larbor Statistics and Energy Information Administration .
For the time period 2003 to 2021, you found a correlation 0.8506721, r-squared of 0.7236430, 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]]
Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany
[[ABSTRACT]]
This research delves into the intersecting realms of music and energy by examining the unique relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our study scrutinizes the statistical connection between these seemingly disparate factors. We employed advanced statistical analysis to calculate a correlation coefficient of 0.8506721 and established a significant p-value of less than 0.01, indicating a robust association between the variables from 2003 to 2021. Our findings provoke further contemplation of the potential influences of cultural and economic dynamics on energy production, while also presenting a whimsical juxtaposition of artistic creativity and technological innovation.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intertwining of seemingly unrelated variables has long captivated the curious minds of researchers, often leading to intriguing discoveries and unexpected revelations. In the domain of music and energy, the relationship between the number of music directors and composers in Hawaii and electricity generation in Germany is an unprecedented juxtaposition that is as harmonious as it is electrifying. This study embarks on a symphonic endeavor to unravel the enigmatic connection between these two seemingly disparate elements, weaving a melodic tale of statistical intrigue and empirical curiosity.
The juxtaposition of music directors and composers in the tropical paradise of Hawaii with the electrifying energy landscape of Germany may seem like a motley assortment of notes on first impression. However, as we dive deeper into the data and wield the tools of statistics with adept precision, we find that there is more than meets the eye - or the ear, for that matter. As we seek to explore this unconventional harmony, our endeavor is not merely about the confluence of statistical variables; it is about orchestrating a narrative that harmonizes the realms of culture and technology, art and innovation, and melody and kilowatts.
As we march to the crescendo of this paper, our analysis weaves a symphony of statistical significance, delving into the multifaceted interplay between the artistic fervor of music and the mechanical currents of energy generation. Our study aims to strike a chord with the scholarly community, shedding light on the potential implications of cultural dynamics on the production of energy, all while playing a lighthearted tune on the unexpected parallels between an orchestra conductor and a power grid operator.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our analysis reveal a striking correlation between the number of music directors and composers in Hawaii and electricity generation in Germany from 2003 to 2021. Our research, akin to a well-conducted symphony, has unearthed a correlation coefficient of 0.8506721, indicating a strong positive relationship between these seemingly incongruous variables. The r-squared value of 0.7236430 underscores the robustness of this association, demonstrating that a substantial proportion of the variance in electricity generation in Germany can be elucidated by the number of music directors and composers in Hawaii. Furthermore, the p-value of less than 0.01 illuminates the statistical significance of our findings, leaving little room for doubt about the harmony between these disparate elements.
The strong correlation is humorously depicted in Fig. 1, where the scatterplot showcases the crescendo of the relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. The scatterplot graphically represents the harmonious interplay between the two variables, as if the data points were conducting an orchestral performance of their own.
These results, akin to an unexpected duet between a maestro and a power plant, transcend mere statistical findings and provoke contemplation of the interwoven tapestry of culture, creativity, and energy production. The findings strike a chord, not only in the realm of statistical analysis but also in the broader narrative of the colorful symphony of human endeavors. This study's findings are as delightful as discovering a hidden musical note in the score of statistical analyses. It beckons the scholarly community to ponder the potential influences of cultural and artistic dynamism on the generation of kilowatts and sparks a whimsical juxtaposition between the artistic fervor of symphonies and the mechanical currents of energy generation.
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 The number of music directors and composers in Hawaii and Electricity generation in Germany. 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]]
Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany
[[ABSTRACT]]
This research delves into the intersecting realms of music and energy by examining the unique relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our study scrutinizes the statistical connection between these seemingly disparate factors. We employed advanced statistical analysis to calculate a correlation coefficient of 0.8506721 and established a significant p-value of less than 0.01, indicating a robust association between the variables from 2003 to 2021. Our findings provoke further contemplation of the potential influences of cultural and economic dynamics on energy production, while also presenting a whimsical juxtaposition of artistic creativity and technological innovation.
[[LITERATURE REVIEW]]
In "Musical Compositions and Electric Kettles: Exploring Unlikely Alliances" by Smith, the authors find that the correlation between the number of music directors and composers in Hawaii and electricity generation in Germany is a topic deserving of scholarly attention. This seemingly curious association sets the stage for our investigation into the realms of cultural expression and energy production, prompting a delightful synergy between the baton-wielding conductors of symphonies and the conductive pathways of electrical grids.
Adding a whimsical spin to our review, Doe et al. in "Symphonic Waves: A Sonata of Statistical Relationships" draw attention to the rhythmically synchronous fluctuations observed in the phenomenon under scrutiny. This serendipitous synchronicity opens the door to exploring the potential harmonies and crescendos of statistical significance that emerge from examining the playful interplay between the creative energies of musical talent and the electrifying forces harnessed in power generation.
As we further survey the landscape of literature, it is impossible to disregard the seminal work of Jones in "Harmonious Energies: A Conductor's Guide to Electricity Generation," where a metaphorical baton directs our attention towards the intricate choreography of statistical association. The meticulously orchestrated connection between these seemingly incongruent variables invites us to harmonize our understanding of music and electricity, conducting a symphony of statistical inquiry and intellectual merrymaking.
Expanding our repertoire of references, "The Spark of Symphony" by Mozart and "The Electrifying Overture" by Beethoven present fictitious accounts of orchestral brilliance and dazzling electrical displays that, while not academic in nature, inspire the whimsical reverie that undergirds our investigation. The playful spirit of creativity and discovery enshrined in these works serves as a vibrant testament to the lively interplay between the artistic fervor of music and the dynamic currents of energy generation.
In a crescendo of scholarly exploration, we must also acknowledge the formative influence of childhood cartoons and animated series, such as "The Magic School Bus" and "Little Einsteins," which, while not directly related to academic literature, provided early exposure to the mystique of science and music, igniting a youthful fascination with the potential intersections of creativity and technical ingenuity. These childhood musings now find resonance in our rigorous quantitative analysis, as we navigate the complex interconnections between melody and megawatts with the same spirit of wonder and enthusiasm.
In sum, the literature surrounding the curious relationship between the number of music directors and composers in Hawaii and electricity generation in Germany reveals a rich tapestry of intellectual inquiry, spiced with a whimsical charm and a playful spirit that resonates with our own scholarly pursuit.
[[RESULTS]]
The results of our analysis reveal a striking correlation between the number of music directors and composers in Hawaii and electricity generation in Germany from 2003 to 2021. Our research, akin to a well-conducted symphony, has unearthed a correlation coefficient of 0.8506721, indicating a strong positive relationship between these seemingly incongruous variables. The r-squared value of 0.7236430 underscores the robustness of this association, demonstrating that a substantial proportion of the variance in electricity generation in Germany can be elucidated by the number of music directors and composers in Hawaii. Furthermore, the p-value of less than 0.01 illuminates the statistical significance of our findings, leaving little room for doubt about the harmony between these disparate elements.
The strong correlation is humorously depicted in Fig. 1, where the scatterplot showcases the crescendo of the relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. The scatterplot graphically represents the harmonious interplay between the two variables, as if the data points were conducting an orchestral performance of their own.
These results, akin to an unexpected duet between a maestro and a power plant, transcend mere statistical findings and provoke contemplation of the interwoven tapestry of culture, creativity, and energy production. The findings strike a chord, not only in the realm of statistical analysis but also in the broader narrative of the colorful symphony of human endeavors. This study's findings are as delightful as discovering a hidden musical note in the score of statistical analyses. It beckons the scholarly community to ponder the potential influences of cultural and artistic dynamism on the generation of kilowatts and sparks a whimsical juxtaposition between the artistic fervor of symphonies and the mechanical currents of energy generation.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our investigation into the surprising connection between the number of music directors and composers in Hawaii and electricity generation in Germany has yielded compelling results that align with prior research and invite further speculation. The robust correlation coefficient of 0.8506721, indicative of a strong positive relationship, not only echoes the findings of previous studies but also adds a colorful crescendo to the emerging symphony of statistical inquiry. The statistical significance reflected in the p-value of less than 0.01 provides a reassuring resonance to the delirious dance of music and electricity as they twirl in the ballroom of quantitative analysis.
The delightful assonance of our results with the prior work of Smith and Doe et al. highlights the serendipitous synchronicity observed in our findings, akin to the harmonious harmony of a well-tuned orchestra. Indeed, just as a composer crafts a sonata, our statistical analysis has artfully unraveled the complex notes of correlation between the variables, orchestrating a symphony of data that resonates with the poignant pizzicato of prior research.
The whimsical pairing of a maestro and a power plant, as depicted in our scatterplot, mirrors the captivating juxtaposition of artistic creativity and technical proficiency that animates the intersection of music and energy. Just as a fugue weaves intricate melodies, our findings weave a tale of statistical intrigue that captures the playful spirit of intellectual merrymaking. This interplay of cultural expression and energy production, while initially raising an eyebrow, now strikes a chord of scholarly contemplation, perhaps inspiring future research to shed light on the nuanced dynamics behind this unexpected harmony.
In essence, our results not only harmonize with the previous literature but also infuse a fresh note of whimsy into the scholarly dialogue on the interplay between music directors and composers in Hawaii and electricity generation in Germany. As we pause to consider the vibrant crescendo of statistical association documented in our study, we are reminded of the capricious capers and merry melodies that underscore the unpredictable yet captivating symphony of scientific exploration.
Our findings, like an unexpected encore at a concert, provoke a smile and an eager anticipation of further movements in the melody of statistical inquiry. The eleventh-hour arrival of statistical significance in this unanticipated duet between the creative fervor of music and the mechanical hum of energy production beckons the scholarly community to embrace the lighthearted reverie of improbable statistical associations and to herald the potential for new harmonies in the playful realm of quantitative analysis.
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 The number of music directors and composers in Hawaii and Electricity generation in Germany. 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]]
Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany
[[ABSTRACT]]
This research delves into the intersecting realms of music and energy by examining the unique relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our study scrutinizes the statistical connection between these seemingly disparate factors. We employed advanced statistical analysis to calculate a correlation coefficient of 0.8506721 and established a significant p-value of less than 0.01, indicating a robust association between the variables from 2003 to 2021. Our findings provoke further contemplation of the potential influences of cultural and economic dynamics on energy production, while also presenting a whimsical juxtaposition of artistic creativity and technological innovation.
[[INTRDUCTION]]
The intertwining of seemingly unrelated variables has long captivated the curious minds of researchers, often leading to intriguing discoveries and unexpected revelations. In the domain of music and energy, the relationship between the number of music directors and composers in Hawaii and electricity generation in Germany is an unprecedented juxtaposition that is as harmonious as it is electrifying. This study embarks on a symphonic endeavor to unravel the enigmatic connection between these two seemingly disparate elements, weaving a melodic tale of statistical intrigue and empirical curiosity.
The juxtaposition of music directors and composers in the tropical paradise of Hawaii with the electrifying energy landscape of Germany may seem like a motley assortment of notes on first impression. However, as we dive deeper into the data and wield the tools of statistics with adept precision, we find that there is more than meets the eye - or the ear, for that matter. As we seek to explore this unconventional harmony, our endeavor is not merely about the confluence of statistical variables; it is about orchestrating a narrative that harmonizes the realms of culture and technology, art and innovation, and melody and kilowatts.
As we march to the crescendo of this paper, our analysis weaves a symphony of statistical significance, delving into the multifaceted interplay between the artistic fervor of music and the mechanical currents of energy generation. Our study aims to strike a chord with the scholarly community, shedding light on the potential implications of cultural dynamics on the production of energy, all while playing a lighthearted tune on the unexpected parallels between an orchestra conductor and a power grid operator.
[[RESULTS]]
The results of our analysis reveal a striking correlation between the number of music directors and composers in Hawaii and electricity generation in Germany from 2003 to 2021. Our research, akin to a well-conducted symphony, has unearthed a correlation coefficient of 0.8506721, indicating a strong positive relationship between these seemingly incongruous variables. The r-squared value of 0.7236430 underscores the robustness of this association, demonstrating that a substantial proportion of the variance in electricity generation in Germany can be elucidated by the number of music directors and composers in Hawaii. Furthermore, the p-value of less than 0.01 illuminates the statistical significance of our findings, leaving little room for doubt about the harmony between these disparate elements.
The strong correlation is humorously depicted in Fig. 1, where the scatterplot showcases the crescendo of the relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. The scatterplot graphically represents the harmonious interplay between the two variables, as if the data points were conducting an orchestral performance of their own.
These results, akin to an unexpected duet between a maestro and a power plant, transcend mere statistical findings and provoke contemplation of the interwoven tapestry of culture, creativity, and energy production. The findings strike a chord, not only in the realm of statistical analysis but also in the broader narrative of the colorful symphony of human endeavors. This study's findings are as delightful as discovering a hidden musical note in the score of statistical analyses. It beckons the scholarly community to ponder the potential influences of cultural and artistic dynamism on the generation of kilowatts and sparks a whimsical juxtaposition between the artistic fervor of symphonies and the mechanical currents of energy generation.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In closing, our research has orchestrated a compelling narrative that underscores the surprising connection between the number of music directors and composers in Hawaii and electricity generation in Germany. The statistical melody we have uncovered, akin to a symphonic opus, resonates with a correlation coefficient of 0.8506721 and a robust r-squared value of 0.7236430, leaving little room for doubt about the harmonious interplay between these seemingly incongruous variables. The statistically significant p-value further emphasizes the delightful duet between cultural dynamism and energy production.
This intriguing association, much like a symphony, leaves us pondering the potential influences of artistic fervor on the generation of kilowatts, offering a whimsical interplay between the artistic creativity of composers and the mechanical currents of energy generation. Our findings strike a chord in the scholarly community, provoking contemplation of the multifaceted interplay between culture and technology, art and innovation, and melody and kilowatts. As we conclude this symphonic journey, it is evident that no further research is needed in this area - the statistical crescendo we have composed speaks volumes, and the curtain falls on this intriguing interplay between music and electricity generation.
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 Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Transnational Consonance
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 Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Comparative Music and Energy Studies
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 Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany with an abstract of This research delves into the intersecting realms of music and energy by examining the unique relationship between the number of music directors and composers in Hawaii and electricity generation in Germany. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our study scrutinizes the statistical connection between these seemingly disparate factors. We employed advanced statistical analysis to calculate a correlation coefficient of 0.8506721 and established a significant p-value of less than 0.01, indicating a robust association between the variables from 2003 to 2021. Our findings provoke further contemplation of the potential influences of cultural and economic dynamics on energy production, while also presenting a whimsical juxtaposition of artistic creativity and technological innovation.
ChatGPT:
orchestral analysis, music directors, composers, Hawaii, electricity generation, Germany, statistical analysis, correlation coefficient, cultural dynamics, economic dynamics, energy production, artistic creativity, technological innovation
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
The number of music directors and composers in HawaiiDetailed data title: BLS estimate of music directors and composers in Hawaii
Source: Bureau of Larbor Statistics
See what else correlates with The number of music directors and composers in Hawaii
Electricity generation in Germany
Detailed data title: Total electricity generation in Germany in billion kWh
Source: Energy Information Administration
See what else correlates with Electricity generation in Germany
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 = 0.7236430 (Coefficient of determination)
This means 72.4% of the change in the one variable (i.e., Electricity generation in Germany) is predictable based on the change in the other (i.e., The number of music directors and composers in Hawaii) over the 19 years from 2003 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.9E-6. 0.0000039327829050435940000000
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 0.85 in 0.00039% of random cases. Said differently, if you correlated 254,273 random variables You don't actually need 254 thousand 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 18 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.
[ 0.65, 0.94 ] 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.
| 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| The number of music directors and composers in Hawaii (Laborers) | 90 | 110 | 100 | 140 | 110 | 130 | 110 | 120 | 90 | 100 | 140 | 160 | 150 | 160 | 160 | 160 | 100 | 80 | 70 |
| Electricity generation in Germany (Billion kWh) | 572.726 | 579.742 | 577.686 | 594.113 | 598.547 | 600.122 | 558.121 | 592.761 | 575.676 | 591.389 | 601.497 | 592.096 | 611.511 | 616.084 | 620.118 | 607.557 | 577.612 | 545.361 | 557.144 |
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. - Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves.
Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([90,110,100,140,110,130,110,120,90,100,140,160,150,160,160,160,100,80,70,])
array_2 = np.array([572.726,579.742,577.686,594.113,598.547,600.122,558.121,592.761,575.676,591.389,601.497,592.096,611.511,616.084,620.118,607.557,577.612,545.361,557.144,])
array_1_name = "The number of music directors and composers in Hawaii"
array_2_name = "Electricity generation in Germany"
# 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.
Full license details.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only The number of music directors and composers in Hawaii
- Line chart for only Electricity generation in Germany
- AI-generated correlation image
- The spurious research paper: Conducting an Orchestral Analysis: Exploring the Interplay Between Music Directors in Hawaii and Electricity Generation in Germany
Thanks for being the explorer we needed!
Correlation ID: 2374 · Black Variable ID: 7002 · Red Variable ID: 23683
