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AI explanation
It turns out, as the number of architecture graduates dwindled, so did their grand designs for futuristic buildings. This led to a decrease in the demand for construction nationwide, putting the brakes on new projects. With fewer buildings springing up, there was no 'archi-texture' for urban sprawl, and people simply didn't have to travel as far, leading to a 'concrete' reduction in the need for gasoline. Who knew the future of Japanese architecture could have such a 'gassy' impact on the nation's fuel consumption!
Model: dalle-3
Prompt: [ Inspired by bauhaus ] Create an image of a group of architects proudly receiving their master's degrees in a bustling city in Japan. Their faces beam with pride as they hold their certificates and stand in front of a newly designed building. Next to them, a modern gas station pumps gasoline into a few cars. Show the connection between the two scenes; fewer buildings being constructed lead to a reduction in traffic and a decrease in the need for gasoline in Japan. 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: Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan. 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: inspired by bauhaus Pop art Cute cartoon Cutsy graphics A Discovery magazine cover image
ChatGPT: Inspired by bauhaus
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 Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan, in the following situation: Fewer architects means fewer buildings, which means fewer cars driving to those buildings, which means less need for gasoline in Japan. It's simple architectural math.. Keep the description simple.
ChatGPT: In a bustling city in Japan, a group of architects proudly receive their Master's degrees in Architecture and related services. Their faces beam with pride as they hold their certificates and stand in front of a newly designed building. Nearby, a gas station pumps gasoline into a few cars, as the traffic in the area has reduced due to the fewer buildings being constructed. The link between the two becomes clear - less construction means fewer cars, resulting in less need for gasoline in Japan.
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: [ Inspired by bauhaus ] and depicting this scene: In a bustling city in Japan, a group of architects proudly receive their Master's degrees in Architecture and related services. Their faces beam with pride as they hold their certificates and stand in front of a newly designed building. Nearby, a gas station pumps gasoline into a few cars, as the traffic in the area has reduced due to the fewer buildings being constructed. The link between the two becomes clear - less construction means fewer cars, resulting in less need for gasoline in Japan. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ Inspired by bauhaus ] Create an image of a group of architects proudly receiving their master's degrees in a bustling city in Japan. Their faces beam with pride as they hold their certificates and stand in front of a newly designed building. Next to them, a modern gas station pumps gasoline into a few cars. Show the connection between the two scenes; fewer buildings being constructed lead to a reduction in traffic and a decrease in the need for gasoline in Japan.
*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 Master's degrees awarded in Architecture and related services caused Gasoline pumped in Japan to decrease. Include one good pun.
AI academic paper
 |
Building Connections: The Architectural Influence on Japanese Gasoline Consumption The Journal of Irreverent Architectural Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan. 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 National Center for Education Statistics and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9678684 and p < 0.01 for 2012 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]]
"Building Connections: The Architectural Influence on Japanese Gasoline Consumption"
[[ABSTRACT]]
The relationship between the number of Master's degrees awarded in architecture and related services and the quantity of gasoline pumped in Japan has long been a source of curiosity in both the academic and architectural spheres. In this study, we set out to examine this peculiar association using a ten-year dataset from the National Center for Education Statistics and the Energy Information Administration. Our analysis revealed a striking correlation coefficient of 0.9678684 and a p-value of less than 0.01, signifying a robust statistical link between these seemingly unrelated variables. While the mere mention of architecture and gasoline might evoke images of fuel-efficient buildings or gas station-inspired designs, our findings underscore the intricate, if not utterly surprising, interplay between these domains. The implications of our research extend beyond mere statistical connections, prompting contemplation on the synergistic exchanges between the world of architecture and the consumption of gasoline in the Land of the Rising Sun.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
"Building Connections: The Architectural Influence on Japanese Gasoline Consumption"
[[ABSTRACT]]
The relationship between the number of Master's degrees awarded in architecture and related services and the quantity of gasoline pumped in Japan has long been a source of curiosity in both the academic and architectural spheres. In this study, we set out to examine this peculiar association using a ten-year dataset from the National Center for Education Statistics and the Energy Information Administration. Our analysis revealed a striking correlation coefficient of 0.9678684 and a p-value of less than 0.01, signifying a robust statistical link between these seemingly unrelated variables. While the mere mention of architecture and gasoline might evoke images of fuel-efficient buildings or gas station-inspired designs, our findings underscore the intricate, if not utterly surprising, interplay between these domains. The implications of our research extend beyond mere statistical connections, prompting contemplation on the synergistic exchanges between the world of architecture and the consumption of gasoline in the Land of the Rising Sun.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the realm of academic inquiry, one encounters a multitude of tantalizing enigmas, and none more peculiar perhaps than the seemingly unlikely relationship between architectural education and gasoline consumption. Our quest for knowledge in this fascinating domain has led us to undertake a comprehensive investigation into the intertwined realms of architecture and fuel usage in the context of Japan. Though at first glance, one might be inclined to dismiss such an association as fanciful or farfetched, the data unearthed in this study yield a revelation of unexpected correlations and connections.
The allure of architectural splendor and the hum of gasoline pumps seem worlds apart, residing in different orbits of influence. However, the pursuit of knowledge often delves into the unlikeliest of intersections, and the provocatively improbable bond between the conferral of Master's degrees in architecture and the act of filling up gas tanks cannot be ignored. While we anticipate skepticism and raised eyebrows at our inquiry, our findings have painted a picture that is as captivating as it is confounding. Perhaps, in the land of cherry blossoms and Zen gardens, the dance of architectural innovation and fuel consumption performs a waltz we had hitherto failed to fathom.
As we embark on this academic odyssey, we invite our esteemed readers to join us in exploring the engaging interplay between these seemingly disconnected realms. Trust us when we assure you, dear readers, that the discovery of a strong statistical link between these variables has left us as wide-eyed as a student encountering their first blueprint. So, buckle up and prepare for a journey through the captivating domains of architecture and gasoline, where the line between practicality and the picturesque blurs, and where every fuel-efficient edifice might fuel further inquiry into the mysteries of consumption and design.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan. 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 you might move on to cartoons and children's shows that you watched for research.
Here is the title and abstract of the paper:
[[TITLE]]
"Building Connections: The Architectural Influence on Japanese Gasoline Consumption"
[[ABSTRACT]]
The relationship between the number of Master's degrees awarded in architecture and related services and the quantity of gasoline pumped in Japan has long been a source of curiosity in both the academic and architectural spheres. In this study, we set out to examine this peculiar association using a ten-year dataset from the National Center for Education Statistics and the Energy Information Administration. Our analysis revealed a striking correlation coefficient of 0.9678684 and a p-value of less than 0.01, signifying a robust statistical link between these seemingly unrelated variables. While the mere mention of architecture and gasoline might evoke images of fuel-efficient buildings or gas station-inspired designs, our findings underscore the intricate, if not utterly surprising, interplay between these domains. The implications of our research extend beyond mere statistical connections, prompting contemplation on the synergistic exchanges between the world of architecture and the consumption of gasoline in the Land of the Rising Sun.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the realm of academic inquiry, one encounters a multitude of tantalizing enigmas, and none more peculiar perhaps than the seemingly unlikely relationship between architectural education and gasoline consumption. Our quest for knowledge in this fascinating domain has led us to undertake a comprehensive investigation into the intertwined realms of architecture and fuel usage in the context of Japan. Though at first glance, one might be inclined to dismiss such an association as fanciful or farfetched, the data unearthed in this study yield a revelation of unexpected correlations and connections.
The allure of architectural splendor and the hum of gasoline pumps seem worlds apart, residing in different orbits of influence. However, the pursuit of knowledge often delves into the unlikeliest of intersections, and the provocatively improbable bond between the conferral of Master's degrees in architecture and the act of filling up gas tanks cannot be ignored. While we anticipate skepticism and raised eyebrows at our inquiry, our findings have painted a picture that is as captivating as it is confounding. Perhaps, in the land of cherry blossoms and Zen gardens, the dance of architectural innovation and fuel consumption performs a waltz we had hitherto failed to fathom.
As we embark on this academic odyssey, we invite our esteemed readers to join us in exploring the engaging interplay between these seemingly disconnected realms. Trust us when we assure you, dear readers, that the discovery of a strong statistical link between these variables has left us as wide-eyed as a student encountering their first blueprint. So, buckle up and prepare for a journey through the captivating domains of architecture and gasoline, where the line between practicality and the picturesque blurs, and where every fuel-efficient edifice might fuel further inquiry into the mysteries of consumption and design.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The subject of architectural education and its potential influence on gasoline consumption in Japan has prompted scholarly inquiry into the unlikely connection between these two divergent realms. The study by Smith (2015) sheds light on the educational landscape, emphasizing the significance of advanced degrees in architecture and related services. This study provides a robust analysis of the enrollment trends and graduation rates in Master's programs, setting the stage for our investigation into the potential impact of such educational pursuits on societal phenomena, including fuel consumption.
Moving beyond the traditional confines of academic literature, Doe (2018) delves into the dynamics of energy usage in Japan, offering a comprehensive examination of the nation's reliance on gasoline as a primary fuel source. This study uncovers the intricate web of factors influencing gasoline consumption patterns, laying the groundwork for our exploration into the uncharted territory of architectural influences on fuel usage.
Jones (2020) further contributes to the scholarly discourse by exploring the architectural innovations in urban planning and infrastructure development, presenting a compelling case for the far-reaching implications of architectural advancements on societal behaviors. While these works form the bedrock of serious inquiry into our subject matter, it is imperative to acknowledge the diverse sources of inspiration that have shaped our understanding of this unconventional relationship.
Taking a cue from non-academic literature, "The Architecture of Happiness" by Alain de Botton and "The Fountainhead" by Ayn Rand offer philosophical reflections and fictional narratives that transcend the traditional boundaries of architectural discourse, instigating contemplation on the emotional and ideological underpinnings of architectural design.
On a lighter note, the cartoon series "Bob the Builder" and the whimsical world of "The Magic School Bus" have provided unexpected insights into the imaginative aspects of architectural vision and its potential ramifications on societal infrastructure. While not conventional sources of scholarly inquiry, these diverse influences have shaped our perspective and infused our approach with a sense of playful curiosity.
As we navigate the uncharted waters of this interdisciplinary exploration, we acknowledge the unexpected sources of inspiration that have enriched our understanding of the enigmatic interplay between architecture and gasoline consumption. In the words of Frank Lloyd Wright, "An architect's most useful tools are an eraser at the drafting board, and a wrecking bar at the site." Similarly, our journey into this research endeavor has demanded a delicate balance between scholarly rigor and a willingness to embrace the unexpected, as we strive to unravel the mysteries of the architectural influence on Japanese gasoline consumption.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Energy Information Administration . You used data from 2012 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]]
"Building Connections: The Architectural Influence on Japanese Gasoline Consumption"
[[ABSTRACT]]
The relationship between the number of Master's degrees awarded in architecture and related services and the quantity of gasoline pumped in Japan has long been a source of curiosity in both the academic and architectural spheres. In this study, we set out to examine this peculiar association using a ten-year dataset from the National Center for Education Statistics and the Energy Information Administration. Our analysis revealed a striking correlation coefficient of 0.9678684 and a p-value of less than 0.01, signifying a robust statistical link between these seemingly unrelated variables. While the mere mention of architecture and gasoline might evoke images of fuel-efficient buildings or gas station-inspired designs, our findings underscore the intricate, if not utterly surprising, interplay between these domains. The implications of our research extend beyond mere statistical connections, prompting contemplation on the synergistic exchanges between the world of architecture and the consumption of gasoline in the Land of the Rising Sun.
[[INTRODUCTION]]
In the realm of academic inquiry, one encounters a multitude of tantalizing enigmas, and none more peculiar perhaps than the seemingly unlikely relationship between architectural education and gasoline consumption. Our quest for knowledge in this fascinating domain has led us to undertake a comprehensive investigation into the intertwined realms of architecture and fuel usage in the context of Japan. Though at first glance, one might be inclined to dismiss such an association as fanciful or farfetched, the data unearthed in this study yield a revelation of unexpected correlations and connections.
The allure of architectural splendor and the hum of gasoline pumps seem worlds apart, residing in different orbits of influence. However, the pursuit of knowledge often delves into the unlikeliest of intersections, and the provocatively improbable bond between the conferral of Master's degrees in architecture and the act of filling up gas tanks cannot be ignored. While we anticipate skepticism and raised eyebrows at our inquiry, our findings have painted a picture that is as captivating as it is confounding. Perhaps, in the land of cherry blossoms and Zen gardens, the dance of architectural innovation and fuel consumption performs a waltz we had hitherto failed to fathom.
As we embark on this academic odyssey, we invite our esteemed readers to join us in exploring the engaging interplay between these seemingly disconnected realms. Trust us when we assure you, dear readers, that the discovery of a strong statistical link between these variables has left us as wide-eyed as a student encountering their first blueprint. So, buckle up and prepare for a journey through the captivating domains of architecture and gasoline, where the line between practicality and the picturesque blurs, and where every fuel-efficient edifice might fuel further inquiry into the mysteries of consumption and design.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unravel the enigmatic connection between the conferral of Master's degrees in architecture and the audacious act of refueling in the Land of the Rising Sun, we embarked on a quest that would make even the boldest of explorers quiver in their loafers. Our first task was to gather a prodigious amount of data from the vast expanse of the internet, akin to casting a colossal net in the digital ocean. We cast our net wide, only to find ourselves ensnaring information primarily from the National Center for Education Statistics (NCES) and the Energy Information Administration (EIA). From these repositories of knowledge, we secured a treasure trove of data spanning from 2012 to 2021, allowing us to paint a comprehensive portrait of educational accomplishments and gasoline galore in the archipelago.
In this pursuit of statistical enlightenment, we took a moment to marvel at the unending stream of numeric insights bestowed upon us by the NCES and the EIA. With fervor and a touch of whimsy, we held these datasets aloft as our trusted companions in this journey through the labyrinthine nexus of architecture and fuel. As we delved into the numerical tapestry, we encountered a diverse array of variables, from the number of Master's degrees awarded in architecture and related services to the voluminous quantities of gasoline pumped in Japan – a curious coupling indeed!
To wrangle these hordes of data into a form conducive to rigorous analysis, we wielded the formidable powers of statistical software, casting spells of computation and transformation with the fervor of scholarly sorcerers. Through the incantations of regression analysis, we sought to divine the mystical equation that would unveil the intricate dance between architectural education and gasoline gorging. Our spells summoned forth correlation coefficients and p-values, as we meticulously teased out the threads connecting these apparently disparate domains.
Furthermore, as the custodians of intellectual rigor, we enacted meticulous protocols to ensure the validity and reliability of our investigation. We established stringent inclusion criteria to ascertain the purity of our dataset, akin to the discerning gaze of a discerning sommelier inspecting the finest vintages. Ensuring the quality and integrity of our data, we embraced the principles of transparency and precision, safeguarding our findings against the encroachment of statistical maleficence.
Finally, to infuse an elemental touch of qualitative understanding into our quantitative odyssey, we engaged in robust discourse and debate within our research team, harnessing collective expertise and perspectives akin to the fusion of artistic sensibilities and scientific inquiry.
In essence, our methodology encapsulated a grand tapestry of data collection, statistical enchantment, and scholarly discourse, all undertaken with the adventurous spirit of intrepid researchers striding forth in this quixotic pursuit of knowledge.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Energy Information Administration .
For the time period 2012 to 2021, you found a correlation 0.9678684, r-squared of 0.9367693, 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]]
"Building Connections: The Architectural Influence on Japanese Gasoline Consumption"
[[ABSTRACT]]
The relationship between the number of Master's degrees awarded in architecture and related services and the quantity of gasoline pumped in Japan has long been a source of curiosity in both the academic and architectural spheres. In this study, we set out to examine this peculiar association using a ten-year dataset from the National Center for Education Statistics and the Energy Information Administration. Our analysis revealed a striking correlation coefficient of 0.9678684 and a p-value of less than 0.01, signifying a robust statistical link between these seemingly unrelated variables. While the mere mention of architecture and gasoline might evoke images of fuel-efficient buildings or gas station-inspired designs, our findings underscore the intricate, if not utterly surprising, interplay between these domains. The implications of our research extend beyond mere statistical connections, prompting contemplation on the synergistic exchanges between the world of architecture and the consumption of gasoline in the Land of the Rising Sun.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the realm of academic inquiry, one encounters a multitude of tantalizing enigmas, and none more peculiar perhaps than the seemingly unlikely relationship between architectural education and gasoline consumption. Our quest for knowledge in this fascinating domain has led us to undertake a comprehensive investigation into the intertwined realms of architecture and fuel usage in the context of Japan. Though at first glance, one might be inclined to dismiss such an association as fanciful or farfetched, the data unearthed in this study yield a revelation of unexpected correlations and connections.
The allure of architectural splendor and the hum of gasoline pumps seem worlds apart, residing in different orbits of influence. However, the pursuit of knowledge often delves into the unlikeliest of intersections, and the provocatively improbable bond between the conferral of Master's degrees in architecture and the act of filling up gas tanks cannot be ignored. While we anticipate skepticism and raised eyebrows at our inquiry, our findings have painted a picture that is as captivating as it is confounding. Perhaps, in the land of cherry blossoms and Zen gardens, the dance of architectural innovation and fuel consumption performs a waltz we had hitherto failed to fathom.
As we embark on this academic odyssey, we invite our esteemed readers to join us in exploring the engaging interplay between these seemingly disconnected realms. Trust us when we assure you, dear readers, that the discovery of a strong statistical link between these variables has left us as wide-eyed as a student encountering their first blueprint. So, buckle up and prepare for a journey through the captivating domains of architecture and gasoline, where the line between practicality and the picturesque blurs, and where every fuel-efficient edifice might fuel further inquiry into the mysteries of consumption and design.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
In unraveling the perplexing connectivity between the conferral of Master's degrees in architecture and related services and the consumption of gasoline in Japan, our analysis bore witness to a remarkable correlation coefficient of 0.9678684. The robustness of this correlation was further underscored by the r-squared value of 0.9367693, with a p-value of less than 0.01 reinforcing the statistical significance of our findings.
As depicted in Fig. 1, our scatterplot provides a visual representation of the substantial relationship between the number of Master's degrees awarded in architecture and the volume of gasoline pumped in Japan. The points on the plot align in a harmonious fashion, reminiscent of the meticulous balance sought in architectural compositions. It appears that the ebb and flow of the academic journey of architecture and the consumption of gasoline in Japan share a synchronous rhythm, akin to the meticulous choreography of a well-designed structure.
This unexpected correlation defies conventional wisdom, challenging preconceived notions about the distinctiveness of these two domains. Much like the unexpected pairing of savory and sweet flavors in a culinary dish, our research sheds light on a symbiotic relationship that transcends immediate perception.
In light of our findings, it is evident that the tides of influence between these two seemingly disparate realms run deeper than mere happenstance. The implications of our discovery call for a reevaluation of the interconnectedness of academic disciplines and societal patterns, prompting a rethinking of the boundaries that demarcate the scholarly and the practical.
Our exploration of this unanticipated nexus between architecture and gasoline in Japan serves as a testament to the unending enigma that pervades the world of research, reminding us that even in the most unexpected corners, curiosity and insight await.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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]]
"Building Connections: The Architectural Influence on Japanese Gasoline Consumption"
[[ABSTRACT]]
The relationship between the number of Master's degrees awarded in architecture and related services and the quantity of gasoline pumped in Japan has long been a source of curiosity in both the academic and architectural spheres. In this study, we set out to examine this peculiar association using a ten-year dataset from the National Center for Education Statistics and the Energy Information Administration. Our analysis revealed a striking correlation coefficient of 0.9678684 and a p-value of less than 0.01, signifying a robust statistical link between these seemingly unrelated variables. While the mere mention of architecture and gasoline might evoke images of fuel-efficient buildings or gas station-inspired designs, our findings underscore the intricate, if not utterly surprising, interplay between these domains. The implications of our research extend beyond mere statistical connections, prompting contemplation on the synergistic exchanges between the world of architecture and the consumption of gasoline in the Land of the Rising Sun.
[[LITERATURE REVIEW]]
The subject of architectural education and its potential influence on gasoline consumption in Japan has prompted scholarly inquiry into the unlikely connection between these two divergent realms. The study by Smith (2015) sheds light on the educational landscape, emphasizing the significance of advanced degrees in architecture and related services. This study provides a robust analysis of the enrollment trends and graduation rates in Master's programs, setting the stage for our investigation into the potential impact of such educational pursuits on societal phenomena, including fuel consumption.
Moving beyond the traditional confines of academic literature, Doe (2018) delves into the dynamics of energy usage in Japan, offering a comprehensive examination of the nation's reliance on gasoline as a primary fuel source. This study uncovers the intricate web of factors influencing gasoline consumption patterns, laying the groundwork for our exploration into the uncharted territory of architectural influences on fuel usage.
Jones (2020) further contributes to the scholarly discourse by exploring the architectural innovations in urban planning and infrastructure development, presenting a compelling case for the far-reaching implications of architectural advancements on societal behaviors. While these works form the bedrock of serious inquiry into our subject matter, it is imperative to acknowledge the diverse sources of inspiration that have shaped our understanding of this unconventional relationship.
Taking a cue from non-academic literature, "The Architecture of Happiness" by Alain de Botton and "The Fountainhead" by Ayn Rand offer philosophical reflections and fictional narratives that transcend the traditional boundaries of architectural discourse, instigating contemplation on the emotional and ideological underpinnings of architectural design.
On a lighter note, the cartoon series "Bob the Builder" and the whimsical world of "The Magic School Bus" have provided unexpected insights into the imaginative aspects of architectural vision and its potential ramifications on societal infrastructure. While not conventional sources of scholarly inquiry, these diverse influences have shaped our perspective and infused our approach with a sense of playful curiosity.
As we navigate the uncharted waters of this interdisciplinary exploration, we acknowledge the unexpected sources of inspiration that have enriched our understanding of the enigmatic interplay between architecture and gasoline consumption. In the words of Frank Lloyd Wright, "An architect's most useful tools are an eraser at the drafting board, and a wrecking bar at the site." Similarly, our journey into this research endeavor has demanded a delicate balance between scholarly rigor and a willingness to embrace the unexpected, as we strive to unravel the mysteries of the architectural influence on Japanese gasoline consumption.
[[RESULTS]]
In unraveling the perplexing connectivity between the conferral of Master's degrees in architecture and related services and the consumption of gasoline in Japan, our analysis bore witness to a remarkable correlation coefficient of 0.9678684. The robustness of this correlation was further underscored by the r-squared value of 0.9367693, with a p-value of less than 0.01 reinforcing the statistical significance of our findings.
As depicted in Fig. 1, our scatterplot provides a visual representation of the substantial relationship between the number of Master's degrees awarded in architecture and the volume of gasoline pumped in Japan. The points on the plot align in a harmonious fashion, reminiscent of the meticulous balance sought in architectural compositions. It appears that the ebb and flow of the academic journey of architecture and the consumption of gasoline in Japan share a synchronous rhythm, akin to the meticulous choreography of a well-designed structure.
This unexpected correlation defies conventional wisdom, challenging preconceived notions about the distinctiveness of these two domains. Much like the unexpected pairing of savory and sweet flavors in a culinary dish, our research sheds light on a symbiotic relationship that transcends immediate perception.
In light of our findings, it is evident that the tides of influence between these two seemingly disparate realms run deeper than mere happenstance. The implications of our discovery call for a reevaluation of the interconnectedness of academic disciplines and societal patterns, prompting a rethinking of the boundaries that demarcate the scholarly and the practical.
Our exploration of this unanticipated nexus between architecture and gasoline in Japan serves as a testament to the unending enigma that pervades the world of research, reminding us that even in the most unexpected corners, curiosity and insight await.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our study has uncovered a compelling relationship between the conferral of Master's degrees in architecture and related services and the consumption of gasoline in Japan, solidifying the inherent bond between the cerebral realm of architectural education and the tangible world of gasoline usage. These findings not only uphold the previous research on the subject but also add a layer of complexity to the discourse, emphasizing the harmonious dance between scholarly pursuits and societal patterns.
Taking a lighthearted approach, let's revisit some of the unorthodox inspirations from our literature review, shall we? The whimsical "Bob the Builder" might have seemed like mere childhood nostalgia, but it subtly hinted at the intricate web of influences that shape our built environment. As for "The Magic School Bus," one might initially dismiss it as mere entertainment, yet its imaginative portrayal of architectural concepts cannot be overlooked. Much like these unexpected sources of inspiration, our research delves into the realm of whimsy and wonder to unravel the mysteries of the architectural influence on Japanese gasoline consumption.
The statistical robustness of our correlation coefficient further validates the unorthodox notion that the academic journey of architecture and the consumption of gasoline in Japan share a synchronous rhythm. This tantalizing correlation resoundingly echoes the insights from Smith's (2015) emphasis on the significance of advanced degrees in architecture and related services, as well as Doe's (2018) comprehensive examination of Japan's reliance on gasoline as a primary fuel source. In a similar vein, Jones (2020) laid the groundwork for understanding the far-reaching implications of architectural advancements on societal behaviors, a foundation that our findings build upon.
Our scatterplot, akin to the meticulous balance sought in architectural compositions, visually illustrates the surprising synchronicity between the conferral of Master's degrees in architecture and the volume of gasoline pumped in Japan. This juxtaposition challenges preconceived notions, akin to the unexpected pairing of savory and sweet flavors in a culinary dish, shedding light on a symbiotic relationship that transcends immediate perception.
As our research unearths the interconnectedness of academic disciplines and societal patterns, we are reminded that even in the most unexpected corners, curiosity and insight await. This study not only demonstrates the improbable connectivity between architecture and gasoline consumption but also underscores the broader interplay between seemingly unrelated domains, fostering contemplation on the intricate tapestry of influences that shape our world.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Master's degrees awarded in Architecture and related services and Gasoline pumped in Japan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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]]
"Building Connections: The Architectural Influence on Japanese Gasoline Consumption"
[[ABSTRACT]]
The relationship between the number of Master's degrees awarded in architecture and related services and the quantity of gasoline pumped in Japan has long been a source of curiosity in both the academic and architectural spheres. In this study, we set out to examine this peculiar association using a ten-year dataset from the National Center for Education Statistics and the Energy Information Administration. Our analysis revealed a striking correlation coefficient of 0.9678684 and a p-value of less than 0.01, signifying a robust statistical link between these seemingly unrelated variables. While the mere mention of architecture and gasoline might evoke images of fuel-efficient buildings or gas station-inspired designs, our findings underscore the intricate, if not utterly surprising, interplay between these domains. The implications of our research extend beyond mere statistical connections, prompting contemplation on the synergistic exchanges between the world of architecture and the consumption of gasoline in the Land of the Rising Sun.
[[INTRDUCTION]]
In the realm of academic inquiry, one encounters a multitude of tantalizing enigmas, and none more peculiar perhaps than the seemingly unlikely relationship between architectural education and gasoline consumption. Our quest for knowledge in this fascinating domain has led us to undertake a comprehensive investigation into the intertwined realms of architecture and fuel usage in the context of Japan. Though at first glance, one might be inclined to dismiss such an association as fanciful or farfetched, the data unearthed in this study yield a revelation of unexpected correlations and connections.
The allure of architectural splendor and the hum of gasoline pumps seem worlds apart, residing in different orbits of influence. However, the pursuit of knowledge often delves into the unlikeliest of intersections, and the provocatively improbable bond between the conferral of Master's degrees in architecture and the act of filling up gas tanks cannot be ignored. While we anticipate skepticism and raised eyebrows at our inquiry, our findings have painted a picture that is as captivating as it is confounding. Perhaps, in the land of cherry blossoms and Zen gardens, the dance of architectural innovation and fuel consumption performs a waltz we had hitherto failed to fathom.
As we embark on this academic odyssey, we invite our esteemed readers to join us in exploring the engaging interplay between these seemingly disconnected realms. Trust us when we assure you, dear readers, that the discovery of a strong statistical link between these variables has left us as wide-eyed as a student encountering their first blueprint. So, buckle up and prepare for a journey through the captivating domains of architecture and gasoline, where the line between practicality and the picturesque blurs, and where every fuel-efficient edifice might fuel further inquiry into the mysteries of consumption and design.
[[RESULTS]]
In unraveling the perplexing connectivity between the conferral of Master's degrees in architecture and related services and the consumption of gasoline in Japan, our analysis bore witness to a remarkable correlation coefficient of 0.9678684. The robustness of this correlation was further underscored by the r-squared value of 0.9367693, with a p-value of less than 0.01 reinforcing the statistical significance of our findings.
As depicted in Fig. 1, our scatterplot provides a visual representation of the substantial relationship between the number of Master's degrees awarded in architecture and the volume of gasoline pumped in Japan. The points on the plot align in a harmonious fashion, reminiscent of the meticulous balance sought in architectural compositions. It appears that the ebb and flow of the academic journey of architecture and the consumption of gasoline in Japan share a synchronous rhythm, akin to the meticulous choreography of a well-designed structure.
This unexpected correlation defies conventional wisdom, challenging preconceived notions about the distinctiveness of these two domains. Much like the unexpected pairing of savory and sweet flavors in a culinary dish, our research sheds light on a symbiotic relationship that transcends immediate perception.
In light of our findings, it is evident that the tides of influence between these two seemingly disparate realms run deeper than mere happenstance. The implications of our discovery call for a reevaluation of the interconnectedness of academic disciplines and societal patterns, prompting a rethinking of the boundaries that demarcate the scholarly and the practical.
Our exploration of this unanticipated nexus between architecture and gasoline in Japan serves as a testament to the unending enigma that pervades the world of research, reminding us that even in the most unexpected corners, curiosity and insight await.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the correlation between the conferral of Master's degrees in architecture and related services and the consumption of gasoline in Japan, as evident from our study, is indeed a revelation that challenges conventional wisdom. The robust statistical link, akin to the seamless fusion of sushi and sashimi, underscores the intricate interplay between these seemingly unrelated domains. Our findings illuminate a thought-provoking dynamic, much like the enchanting blend of tradition and modernity in Japanese culture.
The tantalizing interconnection between architectural academia and the fuel industry, resembling the delicate balance of flavors in a bento box, calls for continued exploration and contemplation. However, it is our firm assertion, like the resolute stance of Mount Fuji, that no further research is needed in this area. The rarity and piquancy of this correlation, likened to the allure of a rare cherry blossom in full bloom, stand as a testament to the intriguing mysteries that unfold at the nexus of divergent disciplines. As the sun sets on this enlightening endeavor, we bid adieu to further investigations in this arena, content in the richness of our findings and the unexpected discoveries that have graced our academic odyssey.
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 Building Connections: The Architectural Influence on Japanese Gasoline Consumption. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Irreverent Architectural 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 Building Connections: The Architectural Influence on Japanese Gasoline Consumption. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Urban Design and Energy Efficiency
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 Building Connections: The Architectural Influence on Japanese Gasoline Consumption with an abstract of The relationship between the number of Master's degrees awarded in architecture and related services and the quantity of gasoline pumped in Japan has long been a source of curiosity in both the academic and architectural spheres. In this study, we set out to examine this peculiar association using a ten-year dataset from the National Center for Education Statistics and the Energy Information Administration. Our analysis revealed a striking correlation coefficient of 0.9678684 and a p-value of less than 0.01, signifying a robust statistical link between these seemingly unrelated variables. While the mere mention of architecture and gasoline might evoke images of fuel-efficient buildings or gas station-inspired designs, our findings underscore the intricate, if not utterly surprising, interplay between these domains. The implications of our research extend beyond mere statistical connections, prompting contemplation on the synergistic exchanges between the world of architecture and the consumption of gasoline in the Land of the Rising Sun.
ChatGPT:
"Master's degrees in architecture Japan," "gasoline consumption Japan," "architectural influence on gasoline consumption," "correlation between architecture education and gasoline use," "statistical link architecture gasoline consumption"
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Master's degrees awarded in ArchitectureDetailed data title: Master's degrees conferred by postsecondary institutions in Architecture and related services
Source: National Center for Education Statistics
See what else correlates with Master's degrees awarded in Architecture
Gasoline pumped in Japan
Detailed data title: Volume of gasoline pumped consumed in Japan in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Gasoline pumped in Japan
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 = 0.9367693 (Coefficient of determination)
This means 93.7% of the change in the one variable (i.e., Gasoline pumped in Japan) is predictable based on the change in the other (i.e., Master's degrees awarded in Architecture) over the 10 years from 2012 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.5E-6. 0.0000044860291580249260000000
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 0.97 in 0.00045% of random cases. Said differently, if you correlated 222,914 random variables You don't actually need 222 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 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.
[ 0.87, 0.99 ] 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.
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Master's degrees awarded in Architecture (Degrees awarded) | 8448 | 8095 | 8048 | 8006 | 7991 | 7883 | 7291 | 7311 | 6799 | 6321 |
| Gasoline pumped in Japan (Million Barrels/Day) | 982.888 | 951.466 | 922.408 | 913.764 | 913.317 | 886.025 | 878.088 | 853.649 | 789.311 | 772.477 |
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([8448,8095,8048,8006,7991,7883,7291,7311,6799,6321,])
array_2 = np.array([982.888,951.466,922.408,913.764,913.317,886.025,878.088,853.649,789.311,772.477,])
array_1_name = "Master's degrees awarded in Architecture"
array_2_name = "Gasoline pumped in Japan"
# 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 Master's degrees awarded in Architecture
- Line chart for only Gasoline pumped in Japan
- AI-generated correlation image
- The spurious research paper: Building Connections: The Architectural Influence on Japanese Gasoline Consumption
Your rating skills are legendary!
Correlation ID: 3134 · Black Variable ID: 1312 · Red Variable ID: 24575
