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AI explanation
The decrease in kerosene used in Namibia led to fewer moths being attracted to the stadium lights, resulting in less distraction for the players, and ultimately, a lower score for the winning team in the Super Bowl. Looks like the real MVP was the moth repellant company!
Model: dalle-3
Prompt: [ Concept art ] Create an image showing a warm, celebratory scene in a small Namibian village. A group of people has gathered around a roaring kerosene lamp, the warm glow illuminating their faces as they celebrate the Super Bowl. The winning team's score is displayed on a makeshift scoreboard, adding to the excitement. Villagers cheer and high-five each other, exuding palpable joy under the cozy light of the kerosene lamp. 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: Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl. 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: Concept art Psychedelic Cutsy graphics Cutsy graphics Oragami
ChatGPT: Concept art
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 Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl together. Keep the description simple.
ChatGPT: In a small Namibian village, a group of people gather around a roaring kerosene lamp as they celebrate the Super Bowl. The winning team's score is displayed on a makeshift scoreboard, and the excitement in the air is palpable as the villagers cheer and high-five each other under the warm glow of the kerosene lamp.
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: [ Concept art ] and depicting this scene: In a small Namibian village, a group of people gather around a roaring kerosene lamp as they celebrate the Super Bowl. The winning team's score is displayed on a makeshift scoreboard, and the excitement in the air is palpable as the villagers cheer and high-five each other under the warm glow of the kerosene lamp. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ Concept art ] Create an image showing a warm, celebratory scene in a small Namibian village. A group of people has gathered around a roaring kerosene lamp, the warm glow illuminating their faces as they celebrate the Super Bowl. The winning team's score is displayed on a makeshift scoreboard, adding to the excitement. Villagers cheer and high-five each other, exuding palpable joy under the cozy light of the kerosene lamp.
*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 Kerosene used in Namibia caused Points Scored by Winning Team in Super Bowl to decrease. Add a funny one-liner at the end.
AI academic paper
 |
Fueling Victory: The Kerosene Connection to Super Bowl Success The Journal of Sports Science and Superstitions 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 Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl. 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 Energy Information Administration and Wikipedia to assess this nagging question. You found a correlation coefficient of 0.5502365 and p < 0.01 for 1990 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]]
"Fueling Victory: The Kerosene Connection to Super Bowl Success"
[[ABSTRACT]]
This study delves into the intriguing correlation between the consumption of kerosene in Namibia and the points scored by the victorious team in the Super Bowl over the period of 1990 to 2021. Utilizing data from the Energy Information Administration and Wikipedia, we present a statistical analysis that reveals a correlation coefficient of 0.5502365 and p < 0.01, suggesting a significant relationship between these seemingly disparate variables. Our findings challenge conventional wisdom, shedding light on the unexpected ways in which energy consumption may impact sporting outcomes. The implications of these results are as illuminating as the kerosene itself, with potential ramifications for strategies employed by Super Bowl contenders and the broader understanding of the influence of energy sources on athletic achievements. This paper aims to ignite further inquiry into unconventional influences on sporting events and represents a beacon of humor and curiosity in the scholarly landscape.
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 Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl. 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]]
"Fueling Victory: The Kerosene Connection to Super Bowl Success"
[[ABSTRACT]]
This study delves into the intriguing correlation between the consumption of kerosene in Namibia and the points scored by the victorious team in the Super Bowl over the period of 1990 to 2021. Utilizing data from the Energy Information Administration and Wikipedia, we present a statistical analysis that reveals a correlation coefficient of 0.5502365 and p < 0.01, suggesting a significant relationship between these seemingly disparate variables. Our findings challenge conventional wisdom, shedding light on the unexpected ways in which energy consumption may impact sporting outcomes. The implications of these results are as illuminating as the kerosene itself, with potential ramifications for strategies employed by Super Bowl contenders and the broader understanding of the influence of energy sources on athletic achievements. This paper aims to ignite further inquiry into unconventional influences on sporting events and represents a beacon of humor and curiosity in the scholarly landscape.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
In the world of sports, victories and successes are often attributed to various factors such as talent, strategy, and sheer determination. However, in the realm of scientific inquiry, we are compelled to question whether there may exist hidden variables contributing to these outcomes. In this study, we venture into unexplored territory by investigating the peculiar relationship between the consumption of kerosene in Namibia and the points accrued by the triumphant team in the Super Bowl. While some might perceive this as an exercise in whimsy or a flight of fancy, our analysis reveals a statistically significant correlation, proving that sometimes the most unexpected connections can light the way to new discoveries.
The juxtaposition of kerosene and the Super Bowl may at first seem as incongruous as lab coats at a tailgate party, but we assure our esteemed colleagues that this endeavor is grounded in rigorous scientific inquiry. We endeavor to unveil the mysteries that underpin this unusual association and to demonstrate that the underlying statistical patterns are as undeniable as a rocket's red glare.
Notably, prior research has failed to kindle an investigation into such an enigmatic juxtaposition. We humbly seek to fill this scholarly void and ignite a spark of curiosity that could illuminate unexpected links between energy consumption and athletic prowess. As we shed light on these unexpected correlations, we hope to instigate further inquiries into the uncharted territories where science, sports, and statistics intersect.
In this paper, we aim to maintain a balance between scientific rigor and a lighthearted spirit, striving to infuse our findings with the kind of spark that illuminates a dark room. We believe this study will not only add fuel to the fire of scientific investigation but also serve as a beacon of levity and amusement in the often austere landscape of scholarly discourse. So let us embark on this enlightening journey together, as we illuminate the unexpected connections that bridge the worlds of energy consumption and athletic achievement.
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 Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl. 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 a couple popular internet memes that are related to one of the topics.
Here is the title and abstract of the paper:
[[TITLE]]
"Fueling Victory: The Kerosene Connection to Super Bowl Success"
[[ABSTRACT]]
This study delves into the intriguing correlation between the consumption of kerosene in Namibia and the points scored by the victorious team in the Super Bowl over the period of 1990 to 2021. Utilizing data from the Energy Information Administration and Wikipedia, we present a statistical analysis that reveals a correlation coefficient of 0.5502365 and p < 0.01, suggesting a significant relationship between these seemingly disparate variables. Our findings challenge conventional wisdom, shedding light on the unexpected ways in which energy consumption may impact sporting outcomes. The implications of these results are as illuminating as the kerosene itself, with potential ramifications for strategies employed by Super Bowl contenders and the broader understanding of the influence of energy sources on athletic achievements. This paper aims to ignite further inquiry into unconventional influences on sporting events and represents a beacon of humor and curiosity in the scholarly landscape.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
In the world of sports, victories and successes are often attributed to various factors such as talent, strategy, and sheer determination. However, in the realm of scientific inquiry, we are compelled to question whether there may exist hidden variables contributing to these outcomes. In this study, we venture into unexplored territory by investigating the peculiar relationship between the consumption of kerosene in Namibia and the points accrued by the triumphant team in the Super Bowl. While some might perceive this as an exercise in whimsy or a flight of fancy, our analysis reveals a statistically significant correlation, proving that sometimes the most unexpected connections can light the way to new discoveries.
The juxtaposition of kerosene and the Super Bowl may at first seem as incongruous as lab coats at a tailgate party, but we assure our esteemed colleagues that this endeavor is grounded in rigorous scientific inquiry. We endeavor to unveil the mysteries that underpin this unusual association and to demonstrate that the underlying statistical patterns are as undeniable as a rocket's red glare.
Notably, prior research has failed to kindle an investigation into such an enigmatic juxtaposition. We humbly seek to fill this scholarly void and ignite a spark of curiosity that could illuminate unexpected links between energy consumption and athletic prowess. As we shed light on these unexpected correlations, we hope to instigate further inquiries into the uncharted territories where science, sports, and statistics intersect.
In this paper, we aim to maintain a balance between scientific rigor and a lighthearted spirit, striving to infuse our findings with the kind of spark that illuminates a dark room. We believe this study will not only add fuel to the fire of scientific investigation but also serve as a beacon of levity and amusement in the often austere landscape of scholarly discourse. So let us embark on this enlightening journey together, as we illuminate the unexpected connections that bridge the worlds of energy consumption and athletic achievement.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
Smith, in "The Relationship Between Energy Consumption and Athletic Performance," examines the influence of various energy sources on athletes' achievements. While their study predominantly focuses on dietary energy intake and its impact on physical performance, their work provides a solid foundation for understanding the broader implications of energy consumption in sporting events. Although Smith does not specifically delve into the realms of kerosene, Namibia, or the Super Bowl, their findings provoke contemplation on the potential impact of unconventional energy sources on athletic outcomes.
Doe et al., in "Fueling Victory: The Role of Unconventional Energy Sources in Sports," present a comprehensive analysis of the influence of alternative energy sources on athletic success. Their research encompasses an array of non-traditional fuels, including biodiesel, solar power, and even the potential use of hamster wheels to generate energy for sporting events. While their study does not explore the specific nexus of kerosene consumption in Namibia and the Super Bowl, it sets the stage for considering the broader context of energy sources in the realm of sports.
Jones et al., in "Statistical Anomalies in Athletic Performance and Their Relation to Global Energy Consumption Patterns," venture into the uncharted territory of anomalous statistical relationships in sports and their potential link to worldwide energy usage. While their study is not centered on kerosene or the Super Bowl, their exploration of unexpected statistical patterns paves the way for our investigation into the curious correlation between kerosene usage in Namibia and the points scored by the winning team in the Super Bowl.
Expanding beyond academic research, works such as "Kerosene: A Comprehensive Guide" by Energy Experts and "The Super Bowl Phenomenon: Exploring the Intersections of Sport and Culture" by Sports Scholars offer valuable insights into the specific elements of our study. These sources provide background information on the characteristics and uses of kerosene, as well as the cultural and competitive significance of the Super Bowl.
In the realm of fiction, novels such as "The Namibian Kerosene Chronicles" by Fiction Writer and "Touchdowns and Tiki Torches: A Super Bowl Mystery" by Mystery Author may not offer empirical data, but their imaginative narratives hint at the captivating potential of blending kerosene and football in unexpected ways.
Furthermore, the internet meme “Kerosene Kicks and Super Bowl Slicks” may seem like a humorous take on our research topic, but it underscores the underexplored and potentially comedic aspects of this correlation. The meme's portrayal of a Namibian kerosene salesman attending the Super Bowl with unexpected consequences serves as a playful reminder of the whimsical nature of our inquiry and the potential for surprising revelations.
In reviewing the existing literature, it becomes apparent that while our specific correlation between kerosene consumption in Namibia and the Super Bowl outcomes may not have been directly addressed, the groundwork laid by previous research and the creative expressions in fiction and internet culture serve as inspirations for our own scholarly pursuit.
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 Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Wikipedia . You used data from 1990 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]]
"Fueling Victory: The Kerosene Connection to Super Bowl Success"
[[ABSTRACT]]
This study delves into the intriguing correlation between the consumption of kerosene in Namibia and the points scored by the victorious team in the Super Bowl over the period of 1990 to 2021. Utilizing data from the Energy Information Administration and Wikipedia, we present a statistical analysis that reveals a correlation coefficient of 0.5502365 and p < 0.01, suggesting a significant relationship between these seemingly disparate variables. Our findings challenge conventional wisdom, shedding light on the unexpected ways in which energy consumption may impact sporting outcomes. The implications of these results are as illuminating as the kerosene itself, with potential ramifications for strategies employed by Super Bowl contenders and the broader understanding of the influence of energy sources on athletic achievements. This paper aims to ignite further inquiry into unconventional influences on sporting events and represents a beacon of humor and curiosity in the scholarly landscape.
[[INTRODUCTION]]
INTRODUCTION
In the world of sports, victories and successes are often attributed to various factors such as talent, strategy, and sheer determination. However, in the realm of scientific inquiry, we are compelled to question whether there may exist hidden variables contributing to these outcomes. In this study, we venture into unexplored territory by investigating the peculiar relationship between the consumption of kerosene in Namibia and the points accrued by the triumphant team in the Super Bowl. While some might perceive this as an exercise in whimsy or a flight of fancy, our analysis reveals a statistically significant correlation, proving that sometimes the most unexpected connections can light the way to new discoveries.
The juxtaposition of kerosene and the Super Bowl may at first seem as incongruous as lab coats at a tailgate party, but we assure our esteemed colleagues that this endeavor is grounded in rigorous scientific inquiry. We endeavor to unveil the mysteries that underpin this unusual association and to demonstrate that the underlying statistical patterns are as undeniable as a rocket's red glare.
Notably, prior research has failed to kindle an investigation into such an enigmatic juxtaposition. We humbly seek to fill this scholarly void and ignite a spark of curiosity that could illuminate unexpected links between energy consumption and athletic prowess. As we shed light on these unexpected correlations, we hope to instigate further inquiries into the uncharted territories where science, sports, and statistics intersect.
In this paper, we aim to maintain a balance between scientific rigor and a lighthearted spirit, striving to infuse our findings with the kind of spark that illuminates a dark room. We believe this study will not only add fuel to the fire of scientific investigation but also serve as a beacon of levity and amusement in the often austere landscape of scholarly discourse. So let us embark on this enlightening journey together, as we illuminate the unexpected connections that bridge the worlds of energy consumption and athletic achievement.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
METHODOLOGY
Data Collection
The first step in our highly scholarly and not-at-all whimsical approach was the meticulous collection of data. We combed through the vast expanse of the internet, traversing realms from the Energy Information Administration to the hallowed halls of Wikipedia. Our esteemed and highly caffeinated research team scoured for data related to kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl. We assure the reader that despite the vast resources at our disposal, there were no attempts to sneak in distractions of cute kitten videos or speculate on what could happen if our statistical analysis went horribly wrong. No such antics occurred, this was a serious endeavor, we promise.
Statistical Analysis
Having emerged triumphant from the data collection phase, we ventured into the realm of statistical analysis. We employed the venerable Pearson correlation coefficient to measure the strength and direction of the relationship between kerosene consumption in Namibia and the points accrued by the Super Bowl victors. We utilized data from the period spanning 1990 to 2021, an interval that encapsulates the journey of kerosene and the dance of touchdowns and field goals in the Super Bowl. The use of such a broad timeframe allowed us to capture the arc of changing patterns and illuminate the statistical landscape with a beacon of insight. This process could sometimes be described as walking through a statistical valley of shadows, but we persevered, undeterred by the faint echoes of laughter as we ventured into the labyrinth of correlations.
Hypothesis Testing
The next phase of our inquiry involved hypothesis testing, where we sought to determine the significance of the relationship between kerosene consumption and Super Bowl success. With a twinkle in our eyes and a healthy dose of scientific skepticism, we set our sights on the elusive p-value. Our statistical analysis provided a p-value of less than 0.01, signaling a statistically significant association between these seemingly unrelated variables. We aim to assure the distinguished reader that the statistical analysis was conducted with the utmost care, and there was no temptation to replace p-values with pizzazz-values, no matter how much our whimsical side may have clamored for such mischief.
Ethical Considerations
At every step of this convoluted journey, we maintained a steadfast commitment to ethical research conduct. All statistical manipulations were performed with the utmost integrity, devoid of any attempts to influence the p-values to preferred levels. The study was conducted with rigorous adherence to academic integrity, and any potential bias was kept at bay, banished to the outer limits of scholarly inquiry. We also guarantee that no kerosene-related fires were started in the pursuit of statistical enlightenment, as this would have made our results rather incendiary.
In sum, this methodological approach laid the groundwork for our investigation into the kerosene-Super Bowl points scored nexus, combining the rigor of statistical analysis with a dash of scholarly levity. We hope that our methodological journey, fueled by caffeine and statistical prowess, will spark further inquiry into the unexpected connections between energy consumption and athletic triumphs.
So, dear reader, let us forge ahead through the labyrinth of statistics and strange correlations, with the spirit of inquiry as our torchlight and the pursuit of scientific insight as our guide.
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 Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Wikipedia .
For the time period 1990 to 2021, you found a correlation 0.5502365, r-squared of 0.3027602, 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]]
"Fueling Victory: The Kerosene Connection to Super Bowl Success"
[[ABSTRACT]]
This study delves into the intriguing correlation between the consumption of kerosene in Namibia and the points scored by the victorious team in the Super Bowl over the period of 1990 to 2021. Utilizing data from the Energy Information Administration and Wikipedia, we present a statistical analysis that reveals a correlation coefficient of 0.5502365 and p < 0.01, suggesting a significant relationship between these seemingly disparate variables. Our findings challenge conventional wisdom, shedding light on the unexpected ways in which energy consumption may impact sporting outcomes. The implications of these results are as illuminating as the kerosene itself, with potential ramifications for strategies employed by Super Bowl contenders and the broader understanding of the influence of energy sources on athletic achievements. This paper aims to ignite further inquiry into unconventional influences on sporting events and represents a beacon of humor and curiosity in the scholarly landscape.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
In the world of sports, victories and successes are often attributed to various factors such as talent, strategy, and sheer determination. However, in the realm of scientific inquiry, we are compelled to question whether there may exist hidden variables contributing to these outcomes. In this study, we venture into unexplored territory by investigating the peculiar relationship between the consumption of kerosene in Namibia and the points accrued by the triumphant team in the Super Bowl. While some might perceive this as an exercise in whimsy or a flight of fancy, our analysis reveals a statistically significant correlation, proving that sometimes the most unexpected connections can light the way to new discoveries.
The juxtaposition of kerosene and the Super Bowl may at first seem as incongruous as lab coats at a tailgate party, but we assure our esteemed colleagues that this endeavor is grounded in rigorous scientific inquiry. We endeavor to unveil the mysteries that underpin this unusual association and to demonstrate that the underlying statistical patterns are as undeniable as a rocket's red glare.
Notably, prior research has failed to kindle an investigation into such an enigmatic juxtaposition. We humbly seek to fill this scholarly void and ignite a spark of curiosity that could illuminate unexpected links between energy consumption and athletic prowess. As we shed light on these unexpected correlations, we hope to instigate further inquiries into the uncharted territories where science, sports, and statistics intersect.
In this paper, we aim to maintain a balance between scientific rigor and a lighthearted spirit, striving to infuse our findings with the kind of spark that illuminates a dark room. We believe this study will not only add fuel to the fire of scientific investigation but also serve as a beacon of levity and amusement in the often austere landscape of scholarly discourse. So let us embark on this enlightening journey together, as we illuminate the unexpected connections that bridge the worlds of energy consumption and athletic achievement.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The correlation analysis between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl over the period of 1990 to 2021 revealed a surprising relationship. The correlation coefficient of 0.5502365 indicated a moderate positive correlation between these seemingly unrelated variables. This suggests that as kerosene consumption in Namibia increased, so did the points scored by the victorious team in the Super Bowl, affirming the existence of this unexpected statistical connection.
The r-squared value of 0.3027602 further supported the strength of this correlation, indicating that approximately 30% of the variance in Super Bowl points scored could be explained by variations in kerosene consumption. This finding highlights the significant influence of kerosene consumption in Namibia on the outcome of the Super Bowl, challenging traditional notions of the determinants of athletic success.
The statistical significance of this relationship was confirmed by the p-value of less than 0.01, underlining the robustness of the observed correlation. While skeptics may raise eyebrows at the unlikely pairing of kerosene and Super Bowl triumphs, our findings provide compelling evidence of the existence of this unanticipated association.
The scatterplot (Fig. 1) visually depicts the strong positive correlation between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl. As kerosene consumption increases, there is a discernible trend of higher points scored by the victorious Super Bowl team, affirming the coherence of this peculiar relationship.
In summary, our analysis of the data from 1990 to 2021 has unveiled a remarkable correlation between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl. This unexpected connection challenges conventional wisdom and beckons for further examination of the impact of energy consumption on athletic achievements. The implications of these findings are as bright as a well-lit stadium, illuminating the potential influence of unconventional factors on sporting outcomes and igniting the curiosity of researchers and sports enthusiasts alike.
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 Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl. 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]]
"Fueling Victory: The Kerosene Connection to Super Bowl Success"
[[ABSTRACT]]
This study delves into the intriguing correlation between the consumption of kerosene in Namibia and the points scored by the victorious team in the Super Bowl over the period of 1990 to 2021. Utilizing data from the Energy Information Administration and Wikipedia, we present a statistical analysis that reveals a correlation coefficient of 0.5502365 and p < 0.01, suggesting a significant relationship between these seemingly disparate variables. Our findings challenge conventional wisdom, shedding light on the unexpected ways in which energy consumption may impact sporting outcomes. The implications of these results are as illuminating as the kerosene itself, with potential ramifications for strategies employed by Super Bowl contenders and the broader understanding of the influence of energy sources on athletic achievements. This paper aims to ignite further inquiry into unconventional influences on sporting events and represents a beacon of humor and curiosity in the scholarly landscape.
[[LITERATURE REVIEW]]
Smith, in "The Relationship Between Energy Consumption and Athletic Performance," examines the influence of various energy sources on athletes' achievements. While their study predominantly focuses on dietary energy intake and its impact on physical performance, their work provides a solid foundation for understanding the broader implications of energy consumption in sporting events. Although Smith does not specifically delve into the realms of kerosene, Namibia, or the Super Bowl, their findings provoke contemplation on the potential impact of unconventional energy sources on athletic outcomes.
Doe et al., in "Fueling Victory: The Role of Unconventional Energy Sources in Sports," present a comprehensive analysis of the influence of alternative energy sources on athletic success. Their research encompasses an array of non-traditional fuels, including biodiesel, solar power, and even the potential use of hamster wheels to generate energy for sporting events. While their study does not explore the specific nexus of kerosene consumption in Namibia and the Super Bowl, it sets the stage for considering the broader context of energy sources in the realm of sports.
Jones et al., in "Statistical Anomalies in Athletic Performance and Their Relation to Global Energy Consumption Patterns," venture into the uncharted territory of anomalous statistical relationships in sports and their potential link to worldwide energy usage. While their study is not centered on kerosene or the Super Bowl, their exploration of unexpected statistical patterns paves the way for our investigation into the curious correlation between kerosene usage in Namibia and the points scored by the winning team in the Super Bowl.
Expanding beyond academic research, works such as "Kerosene: A Comprehensive Guide" by Energy Experts and "The Super Bowl Phenomenon: Exploring the Intersections of Sport and Culture" by Sports Scholars offer valuable insights into the specific elements of our study. These sources provide background information on the characteristics and uses of kerosene, as well as the cultural and competitive significance of the Super Bowl.
In the realm of fiction, novels such as "The Namibian Kerosene Chronicles" by Fiction Writer and "Touchdowns and Tiki Torches: A Super Bowl Mystery" by Mystery Author may not offer empirical data, but their imaginative narratives hint at the captivating potential of blending kerosene and football in unexpected ways.
Furthermore, the internet meme “Kerosene Kicks and Super Bowl Slicks” may seem like a humorous take on our research topic, but it underscores the underexplored and potentially comedic aspects of this correlation. The meme's portrayal of a Namibian kerosene salesman attending the Super Bowl with unexpected consequences serves as a playful reminder of the whimsical nature of our inquiry and the potential for surprising revelations.
In reviewing the existing literature, it becomes apparent that while our specific correlation between kerosene consumption in Namibia and the Super Bowl outcomes may not have been directly addressed, the groundwork laid by previous research and the creative expressions in fiction and internet culture serve as inspirations for our own scholarly pursuit.
[[RESULTS]]
The correlation analysis between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl over the period of 1990 to 2021 revealed a surprising relationship. The correlation coefficient of 0.5502365 indicated a moderate positive correlation between these seemingly unrelated variables. This suggests that as kerosene consumption in Namibia increased, so did the points scored by the victorious team in the Super Bowl, affirming the existence of this unexpected statistical connection.
The r-squared value of 0.3027602 further supported the strength of this correlation, indicating that approximately 30% of the variance in Super Bowl points scored could be explained by variations in kerosene consumption. This finding highlights the significant influence of kerosene consumption in Namibia on the outcome of the Super Bowl, challenging traditional notions of the determinants of athletic success.
The statistical significance of this relationship was confirmed by the p-value of less than 0.01, underlining the robustness of the observed correlation. While skeptics may raise eyebrows at the unlikely pairing of kerosene and Super Bowl triumphs, our findings provide compelling evidence of the existence of this unanticipated association.
The scatterplot (Fig. 1) visually depicts the strong positive correlation between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl. As kerosene consumption increases, there is a discernible trend of higher points scored by the victorious Super Bowl team, affirming the coherence of this peculiar relationship.
In summary, our analysis of the data from 1990 to 2021 has unveiled a remarkable correlation between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl. This unexpected connection challenges conventional wisdom and beckons for further examination of the impact of energy consumption on athletic achievements. The implications of these findings are as bright as a well-lit stadium, illuminating the potential influence of unconventional factors on sporting outcomes and igniting the curiosity of researchers and sports enthusiasts alike.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The findings of our study showcasing the link between kerosene usage in Namibia and the points scored by the victorious Super Bowl team from 1990 to 2021 certainly raise eyebrows and spark curiosity. As we juggle these seemingly unrelated variables, it is essential to reconcile our results with the existing literature to understand the significance of this unexpected correlation.
Drawing from the work of Smith, whose exploration of energy sources and athletic performance resonates with the unconventional nature of our investigation, we can humorously consider the idea that perhaps ingesting kerosene could lead to heightened sporting prowess. However, let's keep our feet firmly grounded in the realm of reality and acknowledge that our findings, while surprising, have provided empirical support for the unorthodox impact of kerosene consumption on sporting events.
Furthermore, the study by Doe et al. discussing unconventional energy sources in sports, including the potential utilization of hamster wheels to generate energy, brings to mind the playful notion that perhaps the teams with the most fervently activated hamster wheels could be securing their Super Bowl triumphs through the power of alternative energy sources. While this remains speculative, our results indisputably underscore the relevance of examining atypical energy influences in the realm of sports.
The whimsical notions conveyed in the internet meme "Kerosene Kicks and Super Bowl Slicks" no longer appear purely facetious, as our research has lent statistical weight to the overlooked potential of kerosene's impact on athletic achievements. This reinforces the notion that from lighthearted memes to scholarly pursuits, unexpected connections can emerge, challenging traditional perspectives and opening avenues for further exploration in the intersection of energy and sporting outcomes.
In synthesizing these elements with the statistical robustness of our findings, it becomes evident that our study represents a departure from conventional research inquiries and injects a touch of amusement into the scholarly landscape. The correlation coefficient, r-squared value, and p-value serve as the empirical orchestra conducting a symphony of unexpected associations, captivating the attention of researchers and sparking discussions across the scientific community.
As we contemplate the significant implications of this correlation, riddled with puns about "lighting up the scoreboard" and "igniting sporting success," our findings beckon further investigation into the potential mechanisms underlying the influence of kerosene consumption on athletic achievements. This study, with its compelling statistical evidence, not only sheds light on the unanticipated nexus between kerosene in Namibia and Super Bowl triumphs but also sets the stage for future inquiries into the role of unconventional factors in the realm of sports.
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 Kerosene used in Namibia and Points Scored by Winning Team in Super Bowl. 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]]
"Fueling Victory: The Kerosene Connection to Super Bowl Success"
[[ABSTRACT]]
This study delves into the intriguing correlation between the consumption of kerosene in Namibia and the points scored by the victorious team in the Super Bowl over the period of 1990 to 2021. Utilizing data from the Energy Information Administration and Wikipedia, we present a statistical analysis that reveals a correlation coefficient of 0.5502365 and p < 0.01, suggesting a significant relationship between these seemingly disparate variables. Our findings challenge conventional wisdom, shedding light on the unexpected ways in which energy consumption may impact sporting outcomes. The implications of these results are as illuminating as the kerosene itself, with potential ramifications for strategies employed by Super Bowl contenders and the broader understanding of the influence of energy sources on athletic achievements. This paper aims to ignite further inquiry into unconventional influences on sporting events and represents a beacon of humor and curiosity in the scholarly landscape.
[[INTRDUCTION]]
INTRODUCTION
In the world of sports, victories and successes are often attributed to various factors such as talent, strategy, and sheer determination. However, in the realm of scientific inquiry, we are compelled to question whether there may exist hidden variables contributing to these outcomes. In this study, we venture into unexplored territory by investigating the peculiar relationship between the consumption of kerosene in Namibia and the points accrued by the triumphant team in the Super Bowl. While some might perceive this as an exercise in whimsy or a flight of fancy, our analysis reveals a statistically significant correlation, proving that sometimes the most unexpected connections can light the way to new discoveries.
The juxtaposition of kerosene and the Super Bowl may at first seem as incongruous as lab coats at a tailgate party, but we assure our esteemed colleagues that this endeavor is grounded in rigorous scientific inquiry. We endeavor to unveil the mysteries that underpin this unusual association and to demonstrate that the underlying statistical patterns are as undeniable as a rocket's red glare.
Notably, prior research has failed to kindle an investigation into such an enigmatic juxtaposition. We humbly seek to fill this scholarly void and ignite a spark of curiosity that could illuminate unexpected links between energy consumption and athletic prowess. As we shed light on these unexpected correlations, we hope to instigate further inquiries into the uncharted territories where science, sports, and statistics intersect.
In this paper, we aim to maintain a balance between scientific rigor and a lighthearted spirit, striving to infuse our findings with the kind of spark that illuminates a dark room. We believe this study will not only add fuel to the fire of scientific investigation but also serve as a beacon of levity and amusement in the often austere landscape of scholarly discourse. So let us embark on this enlightening journey together, as we illuminate the unexpected connections that bridge the worlds of energy consumption and athletic achievement.
[[RESULTS]]
The correlation analysis between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl over the period of 1990 to 2021 revealed a surprising relationship. The correlation coefficient of 0.5502365 indicated a moderate positive correlation between these seemingly unrelated variables. This suggests that as kerosene consumption in Namibia increased, so did the points scored by the victorious team in the Super Bowl, affirming the existence of this unexpected statistical connection.
The r-squared value of 0.3027602 further supported the strength of this correlation, indicating that approximately 30% of the variance in Super Bowl points scored could be explained by variations in kerosene consumption. This finding highlights the significant influence of kerosene consumption in Namibia on the outcome of the Super Bowl, challenging traditional notions of the determinants of athletic success.
The statistical significance of this relationship was confirmed by the p-value of less than 0.01, underlining the robustness of the observed correlation. While skeptics may raise eyebrows at the unlikely pairing of kerosene and Super Bowl triumphs, our findings provide compelling evidence of the existence of this unanticipated association.
The scatterplot (Fig. 1) visually depicts the strong positive correlation between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl. As kerosene consumption increases, there is a discernible trend of higher points scored by the victorious Super Bowl team, affirming the coherence of this peculiar relationship.
In summary, our analysis of the data from 1990 to 2021 has unveiled a remarkable correlation between kerosene consumption in Namibia and the points scored by the winning team in the Super Bowl. This unexpected connection challenges conventional wisdom and beckons for further examination of the impact of energy consumption on athletic achievements. The implications of these findings are as bright as a well-lit stadium, illuminating the potential influence of unconventional factors on sporting outcomes and igniting the curiosity of researchers and sports enthusiasts alike.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our investigation has cast a revealing light on the unorthodox association between kerosene consumption in Namibia and the points scored by the triumphant team in the Super Bowl. The statistically significant correlation we uncovered, like a beacon in the dark, challenges our understanding of the forces at play in athletic success. While the idea of kerosene prowess in football is as unexpected as a touchdown from a kicker, our findings are as robust as a well-inflated football.
This study ignites the flame of fascination in the seemingly unrelated realms of energy consumption and sporting triumphs. The potential implications are as bright as a well-lit stadium, sparking curiosity and prompting us to reevaluate our assumptions about the determinants of athletic achievement. Our contribution to the scholarly landscape serves as a light-hearted reminder that scientific inquiry can illuminate even the most unexpected connections, akin to a sparkler on the Fourth of July.
With these findings in mind, it's clear that further research in this area is as unnecessary as a flashlight in the sun. We hope our study sparks amusement and intellectual curiosity, shining a light on the delightful and unexpected intersections of seemingly unrelated variables. No more need be illuminated on the kerosene-Super Bowl connection, as this study has already shone a spotlight on this peculiar relationship.
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 Fueling Victory: The Kerosene Connection to Super Bowl Success. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Sports Science and Superstitions
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 Fueling Victory: The Kerosene Connection to Super Bowl Success. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Sports Science and Strategy
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 Fueling Victory: The Kerosene Connection to Super Bowl Success with an abstract of This study delves into the intriguing correlation between the consumption of kerosene in Namibia and the points scored by the victorious team in the Super Bowl over the period of 1990 to 2021. Utilizing data from the Energy Information Administration and Wikipedia, we present a statistical analysis that reveals a correlation coefficient of 0.5502365 and p < 0.01, suggesting a significant relationship between these seemingly disparate variables. Our findings challenge conventional wisdom, shedding light on the unexpected ways in which energy consumption may impact sporting outcomes. The implications of these results are as illuminating as the kerosene itself, with potential ramifications for strategies employed by Super Bowl contenders and the broader understanding of the influence of energy sources on athletic achievements. This paper aims to ignite further inquiry into unconventional influences on sporting events and represents a beacon of humor and curiosity in the scholarly landscape.
ChatGPT:
kerosene consumption, Namibia, Super Bowl success, correlation analysis, Energy Information Administration, statistical analysis, sports outcomes, energy consumption, athletic achievements
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Kerosene used in NamibiaDetailed data title: Volume of kerosene used consumed in Namibia in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Kerosene used in Namibia
Points Scored by Winning Team in Super Bowl
Source: Wikipedia
See what else correlates with Points Scored by Winning Team in Super Bowl
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 = 0.3027602 (Coefficient of determination)
This means 30.3% of the change in the one variable (i.e., Points Scored by Winning Team in Super Bowl) is predictable based on the change in the other (i.e., Kerosene used in Namibia) over the 32 years from 1990 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0011. 0.0011034515137075158000000000
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 0.55 in 0.11% of random cases. Said differently, if you correlated 906 random variables Which I absolutely did.
with the same 31 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 31 because we have two variables measured over a period of 32 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.
[ 0.25, 0.75 ] 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.
| 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Kerosene used in Namibia (Million Barrels/Day) | 0.7 | 0 | 0.5 | 0.3 | 0.3 | 0.3 | 0.3 | 0.3 | 0.3 | 0.4 | 0.105601 | 0.127068 | 0.0847123 | 0.0847123 | 0.0844809 | 0.0847123 | 0.10589 | 0.0635342 | 0.0633607 | 0 | 0.0211781 | 0.0423562 | 0.0633607 | 0.0423562 | 0.0423562 | 0.042356 | 0.04224 | 0.0423562 | 0.0423562 | 0.0434521 | 0.0415355 | 0.043827 |
| Points Scored by Winning Team in Super Bowl (Points scored) | 55 | 20 | 37 | 52 | 30 | 49 | 27 | 35 | 31 | 34 | 23 | 34 | 20 | 48 | 32 | 24 | 21 | 29 | 17 | 27 | 31 | 31 | 21 | 34 | 43 | 28 | 24 | 34 | 33 | 13 | 31 | 31 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0.7,0,0.5,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.105601,0.127068,0.0847123,0.0847123,0.0844809,0.0847123,0.10589,0.0635342,0.0633607,0,0.0211781,0.0423562,0.0633607,0.0423562,0.0423562,0.042356,0.04224,0.0423562,0.0423562,0.0434521,0.0415355,0.043827,])
array_2 = np.array([55,20,37,52,30,49,27,35,31,34,23,34,20,48,32,24,21,29,17,27,31,31,21,34,43,28,24,34,33,13,31,31,])
array_1_name = "Kerosene used in Namibia"
array_2_name = "Points Scored by Winning Team in Super Bowl"
# 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 Kerosene used in Namibia
- Line chart for only Points Scored by Winning Team in Super Bowl
- AI-generated correlation image
- The spurious research paper: Fueling Victory: The Kerosene Connection to Super Bowl Success
Your dedication to rating warms my heart!
Correlation ID: 2176 · Black Variable ID: 24725 · Red Variable ID: 532
