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AI explanation
Perhaps the Republican Senators were really good at "campaign managing" and their victory speeches were so inspiring, they motivated a wave of individuals to "vote" with their careers and dive into the financial services industry. It's like they say, when it comes to boosting job numbers, these Senators really know how to "balance the books" of influence!
Model: dalle-3
Prompt: Generate an image of a bustling city street in Pop art style, depicting a crowd of people lined up outside polling stations, casting their votes for Republican Senators. Nearby, a group of enthusiastic individuals clad in business attire eagerly pour through the doors of a financial services firm, inspired by the victory speeches of the Senators. Capture the buzz of excitement in the air as the city experiences a surge in both republican votes and the number of financial services agents, painting a picture of newfound energy and optimism in the local community. The image should be vibrant and dynamic, with bold, contrasting colors typical of Pop art. 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: Votes for Republican Senators in New Jersey and The number of financial services sales agents in New Jersey. 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: Cybernetic art Charcoal Pop art Glitch art Cubism
ChatGPT: Pop 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 Votes for Republican Senators in New Jersey and The number of financial services sales agents in New Jersey, in the following situation: Perhaps the Republican Senators were really good at "campaign managing" and their victory speeches were so inspiring, they motivated a wave of individuals to "vote" with their careers and dive into the financial services industry. It's like they say, when it comes to boosting job numbers, these Senators really know how to "balance the books" of influence!. Keep the description simple.
ChatGPT: In a bustling city in New Jersey, a crowd of people lined up outside the polling stations, casting their votes for Republican Senators, while nearby, a group of enthusiastic individuals clad in business attire eagerly pour through the doors of a financial services firm, inspired by the victory speeches of the Senators. The buzz of excitement fills the air as the city experiences a surge in both republican votes and the number of financial services agents, painting a picture of newfound energy and optimism in the local community.
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: [ Pop art ] and depicting this scene: In a bustling city in New Jersey, a crowd of people lined up outside the polling stations, casting their votes for Republican Senators, while nearby, a group of enthusiastic individuals clad in business attire eagerly pour through the doors of a financial services firm, inspired by the victory speeches of the Senators. The buzz of excitement fills the air as the city experiences a surge in both republican votes and the number of financial services agents, painting a picture of newfound energy and optimism in the local community. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a bustling city street in Pop art style, depicting a crowd of people lined up outside polling stations, casting their votes for Republican Senators. Nearby, a group of enthusiastic individuals clad in business attire eagerly pour through the doors of a financial services firm, inspired by the victory speeches of the Senators. Capture the buzz of excitement in the air as the city experiences a surge in both republican votes and the number of financial services agents, painting a picture of newfound energy and optimism in the local community. The image should be vibrant and dynamic, with bold, contrasting colors typical of Pop art.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Republican votes for Senators in New Jersey caused The number of financial services sales agents in New Jersey to increase. Include one good pun.
AI academic paper
 |
Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study The Garden State Journal of Political and Economic Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican votes for Senators in New Jersey and The number of financial services sales agents in New Jersey. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Include a pun in the title.
Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.9617501 and p < 0.01 for 2003 to 2020.
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]]
Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study
[[ABSTRACT]]
This scholarly inquiry delves into the astonishing correlation between Republican votes for Senators in New Jersey and the presence of financial services sales agents within the great state. Employing meticulous data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics for the years 2003 to 2020, our investigation reveals a striking correlation coefficient of 0.9617501 with a p-value of less than 0.01. Our findings not only illuminate the influence of political leanings on economic activity but also highlight the interconnectedness of political nuances and professional realms. As we unravel this enigma, we urge readers to approach our findings with both skepticism and, dare we say, a sense of fiscal humor. After all, discovering such intricate relationships in the financial and political landscape is akin to stumbling upon a hidden treasure in the Garden State.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican votes for Senators in New Jersey and The number of financial services sales agents in New Jersey. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study
[[ABSTRACT]]
This scholarly inquiry delves into the astonishing correlation between Republican votes for Senators in New Jersey and the presence of financial services sales agents within the great state. Employing meticulous data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics for the years 2003 to 2020, our investigation reveals a striking correlation coefficient of 0.9617501 with a p-value of less than 0.01. Our findings not only illuminate the influence of political leanings on economic activity but also highlight the interconnectedness of political nuances and professional realms. As we unravel this enigma, we urge readers to approach our findings with both skepticism and, dare we say, a sense of fiscal humor. After all, discovering such intricate relationships in the financial and political landscape is akin to stumbling upon a hidden treasure in the Garden State.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
The Garden State, renowned for its delicious tomatoes and its residents' fervent belief in the superiority of Jersey Shore over other summer destinations, also serves as an excellent backdrop for our scholarly investigation. As we peel away the layers of this most curious onion, we bring into focus the interplay between political preferences and the professional realm of financial service sales agents.
New Jersey, often overshadowed by its flashy neighbor New York, nevertheless boasts a thriving financial sector, with financial services sales agents playing a pivotal role in the state's economic landscape. But what role, if any, do political leanings play in the distribution and activity of these essential professionals? This is the question that captivates our inquisitive minds and propels our journey into the heart of the Garden State's political and economic labyrinth.
Politics, with its intricate dance of power plays and policy jousts, and finance, with its volatility and unpredictability, are two realms that seemingly operate in separate silos. However, our investigation seeks to unearth potential linkages, connections, and associations that might intertwine these spheres in ways we have yet to fathom.
We understand that the mere mention of "Republican votes" and "financial agents" might inspire raised eyebrows and perplexed looks, akin to encountering a pineapple pizza enthusiast in a room full of traditionalists. Yet, as researchers, we must venture into uncharted territories with both curiosity and stoicism, much like an intrepid explorer navigating through uncharted waters while steadfastly clutching a compass.
The analysis that follows is not merely an exercise in quantitative wizardry; it is an attempt to paint a rich, nuanced portrait of the complex tapestry that is New Jersey's political and financial ecosystem. So, with analytical tools in hand and a steady resolve, we beckon you to embark on this scholarly expedition as we unravel the Jersey-Come-and-See Study – a study that is a testament to our commitment to unearthing the unexpected and, dare we say, injecting a spark of levity into the often solemn corridors of academia.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican votes for Senators in New Jersey and The number of financial services sales agents in New Jersey. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some cartoons and childrens' shows that you watched that are related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study
[[ABSTRACT]]
This scholarly inquiry delves into the astonishing correlation between Republican votes for Senators in New Jersey and the presence of financial services sales agents within the great state. Employing meticulous data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics for the years 2003 to 2020, our investigation reveals a striking correlation coefficient of 0.9617501 with a p-value of less than 0.01. Our findings not only illuminate the influence of political leanings on economic activity but also highlight the interconnectedness of political nuances and professional realms. As we unravel this enigma, we urge readers to approach our findings with both skepticism and, dare we say, a sense of fiscal humor. After all, discovering such intricate relationships in the financial and political landscape is akin to stumbling upon a hidden treasure in the Garden State.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The Garden State, renowned for its delicious tomatoes and its residents' fervent belief in the superiority of Jersey Shore over other summer destinations, also serves as an excellent backdrop for our scholarly investigation. As we peel away the layers of this most curious onion, we bring into focus the interplay between political preferences and the professional realm of financial service sales agents.
New Jersey, often overshadowed by its flashy neighbor New York, nevertheless boasts a thriving financial sector, with financial services sales agents playing a pivotal role in the state's economic landscape. But what role, if any, do political leanings play in the distribution and activity of these essential professionals? This is the question that captivates our inquisitive minds and propels our journey into the heart of the Garden State's political and economic labyrinth.
Politics, with its intricate dance of power plays and policy jousts, and finance, with its volatility and unpredictability, are two realms that seemingly operate in separate silos. However, our investigation seeks to unearth potential linkages, connections, and associations that might intertwine these spheres in ways we have yet to fathom.
We understand that the mere mention of "Republican votes" and "financial agents" might inspire raised eyebrows and perplexed looks, akin to encountering a pineapple pizza enthusiast in a room full of traditionalists. Yet, as researchers, we must venture into uncharted territories with both curiosity and stoicism, much like an intrepid explorer navigating through uncharted waters while steadfastly clutching a compass.
The analysis that follows is not merely an exercise in quantitative wizardry; it is an attempt to paint a rich, nuanced portrait of the complex tapestry that is New Jersey's political and financial ecosystem. So, with analytical tools in hand and a steady resolve, we beckon you to embark on this scholarly expedition as we unravel the Jersey-Come-and-See Study – a study that is a testament to our commitment to unearthing the unexpected and, dare we say, injecting a spark of levity into the often solemn corridors of academia.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The connection between political leanings and economic activity has long fascinated scholars, policymakers, and curious onlookers alike. In their seminal work, Smith and Doe (2009) delve into the intricate relationship between political affiliations and economic outcomes, uncovering compelling evidence of the nuanced interplay between these seemingly distinct realms. Building upon this foundation, Jones et al. (2014) expand the discourse to explore the regional variations in political preferences and their potential impact on local economies, providing illuminating insights into the web of interconnectedness between politics and finance.
Turning to the field of economic geography, "The Geography of Wealth and Poverty" by Brown (2017) offers a comprehensive analysis of the geographical distribution of economic activities, shedding light on the spatial dimensions of economic phenomena. This intricate web of connections between political affiliations and regional economic landscapes finds itself further examined in "The Economic Atlas of the United States" by White et al. (2016), where the authors map out the complex interplay of political nuances and economic realities across the nation.
As we delve deeper into the literature, we encounter an unexpected twist, veering into the realm of fiction. From George Orwell's "Animal Farm" to Ayn Rand's "Atlas Shrugged," the portrayal of political ideologies and their potential impact on economic structures provides a lens through which we can glean unconventional insights into the intersection of politics and finance. Such literary escapades push the boundaries of conventional discourse, infusing our scholarly journey with an unexpected dash of whimsy and imagination.
Expanding our purview beyond the written word, let us not discount the influence of visual storytelling on our understanding of political and economic realms. The animated series "Pinky and the Brain" and "Schoolhouse Rock!" may seem whimsical and light-hearted on the surface, but within their narratives lie subtle reflections of power dynamics and economic imperatives that echo the complexities we seek to unravel in our own investigation. These seemingly disparate threads of inquiry remind us that the study of political and economic interconnections often defies traditional boundaries, inviting us to approach our findings with a sense of playful curiosity.
As we wade through this eclectic mix of scholarly works, literary musings, and childhood nostalgia, we are reminded of the multifaceted nature of our inquiry. With each source offering a unique vantage point on the enigmatic fusion of politics and finance, we embark on a quest that is as intellectually rigorous as it is unexpectedly delightful.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican votes for Senators in New Jersey and The number of financial services sales agents in New Jersey. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Bureau of Larbor Statistics . You used data from 2003 to 2020
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]]
Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study
[[ABSTRACT]]
This scholarly inquiry delves into the astonishing correlation between Republican votes for Senators in New Jersey and the presence of financial services sales agents within the great state. Employing meticulous data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics for the years 2003 to 2020, our investigation reveals a striking correlation coefficient of 0.9617501 with a p-value of less than 0.01. Our findings not only illuminate the influence of political leanings on economic activity but also highlight the interconnectedness of political nuances and professional realms. As we unravel this enigma, we urge readers to approach our findings with both skepticism and, dare we say, a sense of fiscal humor. After all, discovering such intricate relationships in the financial and political landscape is akin to stumbling upon a hidden treasure in the Garden State.
[[INTRODUCTION]]
INTRODUCTION
The Garden State, renowned for its delicious tomatoes and its residents' fervent belief in the superiority of Jersey Shore over other summer destinations, also serves as an excellent backdrop for our scholarly investigation. As we peel away the layers of this most curious onion, we bring into focus the interplay between political preferences and the professional realm of financial service sales agents.
New Jersey, often overshadowed by its flashy neighbor New York, nevertheless boasts a thriving financial sector, with financial services sales agents playing a pivotal role in the state's economic landscape. But what role, if any, do political leanings play in the distribution and activity of these essential professionals? This is the question that captivates our inquisitive minds and propels our journey into the heart of the Garden State's political and economic labyrinth.
Politics, with its intricate dance of power plays and policy jousts, and finance, with its volatility and unpredictability, are two realms that seemingly operate in separate silos. However, our investigation seeks to unearth potential linkages, connections, and associations that might intertwine these spheres in ways we have yet to fathom.
We understand that the mere mention of "Republican votes" and "financial agents" might inspire raised eyebrows and perplexed looks, akin to encountering a pineapple pizza enthusiast in a room full of traditionalists. Yet, as researchers, we must venture into uncharted territories with both curiosity and stoicism, much like an intrepid explorer navigating through uncharted waters while steadfastly clutching a compass.
The analysis that follows is not merely an exercise in quantitative wizardry; it is an attempt to paint a rich, nuanced portrait of the complex tapestry that is New Jersey's political and financial ecosystem. So, with analytical tools in hand and a steady resolve, we beckon you to embark on this scholarly expedition as we unravel the Jersey-Come-and-See Study – a study that is a testament to our commitment to unearthing the unexpected and, dare we say, injecting a spark of levity into the often solemn corridors of academia.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unpack the intricate relationship between Republican votes for Senators in New Jersey and the concentration of financial services sales agents within the state, our research team embarked on a pursuit akin to finding the proverbial needle in a haystack. Our journey began with the procurement of data spanning the years 2003 to 2020, a period during which the political and economic landscapes of the Garden State experienced their fair share of ebbs and flows, much like the tides along the Jersey Shore.
Data Collection:
We scoured the digital seas, casting our net wide across the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics. Navigating through the choppy waters of online repositories, our intrepid researchers captured the elusive numbers and figures that encapsulate the essence of political voting patterns and the distribution of financial professionals within New Jersey. With these data in tow, we were armed and ready to embark on our quest for correlation amidst the statistical mists.
Correlation Analysis:
Upon our return to the safe harbor of our research domain, we set about unfurling the metaphorical treasure map of statistical techniques. Armed with computing tools that rivaled the sophistication of a Swiss army knife, we calculated correlation coefficients, p-values, and confidence intervals with the precision of a seasoned cartographer mapping uncharted territories. Our findings not only galvanized our resolve but also painted a rich tableau of the interconnectedness of political leanings and economic activities within the Garden State.
Statistical Model:
To model the relationship between Republican votes for Senators and the presence of financial services sales agents, we employed a variety of statistical frameworks that mirrored the diversity of the Jersey populace. From regression models reminiscent of the merging of highways at the infamous "Pulaski Skyway" to time-series analyses reflecting the ebb and flow of Jersey Shore waves, our statistical arsenal was as varied as the flavors of saltwater taffy that line the boardwalks of Atlantic City.
Sensitivity Analysis:
As seasoned navigators of the empirical sea, we recognized the need to test the robustness of our findings in the face of potential storms and tempests. We subjected our results to rigorous sensitivity analyses that encompassed bootstrapping techniques and Monte Carlo simulations. Much like a crew ensuring the seaworthiness of a vessel before setting sail, we scrutinized our findings to withstand the tides of skepticism and scrutiny.
Robustness Checks:
The comprehensiveness of our study demanded rigorous robustness checks that rival the thoroughness with which a Jersey resident checks for the perfect slice of pizza. Our analyses were subjected to a battery of diagnostic tests to ensure their resilience and reliability, leaving no stone unturned much like an archeologist excavating the ruins of a forgotten Atlantic City casino.
In summary, our methodology combined the rigor of academic inquiry with the playfulness of a day at the Jersey Shore, epitomizing our devotion to unraveling the hidden dynamics of political and professional landscapes with equal measures of precision and, dare we say, an unexpected splash of levity.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican votes for Senators in New Jersey and The number of financial services sales agents in New Jersey. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Bureau of Larbor Statistics .
For the time period 2003 to 2020, you found a correlation 0.9617501, r-squared of 0.9249632, 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]]
Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study
[[ABSTRACT]]
This scholarly inquiry delves into the astonishing correlation between Republican votes for Senators in New Jersey and the presence of financial services sales agents within the great state. Employing meticulous data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics for the years 2003 to 2020, our investigation reveals a striking correlation coefficient of 0.9617501 with a p-value of less than 0.01. Our findings not only illuminate the influence of political leanings on economic activity but also highlight the interconnectedness of political nuances and professional realms. As we unravel this enigma, we urge readers to approach our findings with both skepticism and, dare we say, a sense of fiscal humor. After all, discovering such intricate relationships in the financial and political landscape is akin to stumbling upon a hidden treasure in the Garden State.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The Garden State, renowned for its delicious tomatoes and its residents' fervent belief in the superiority of Jersey Shore over other summer destinations, also serves as an excellent backdrop for our scholarly investigation. As we peel away the layers of this most curious onion, we bring into focus the interplay between political preferences and the professional realm of financial service sales agents.
New Jersey, often overshadowed by its flashy neighbor New York, nevertheless boasts a thriving financial sector, with financial services sales agents playing a pivotal role in the state's economic landscape. But what role, if any, do political leanings play in the distribution and activity of these essential professionals? This is the question that captivates our inquisitive minds and propels our journey into the heart of the Garden State's political and economic labyrinth.
Politics, with its intricate dance of power plays and policy jousts, and finance, with its volatility and unpredictability, are two realms that seemingly operate in separate silos. However, our investigation seeks to unearth potential linkages, connections, and associations that might intertwine these spheres in ways we have yet to fathom.
We understand that the mere mention of "Republican votes" and "financial agents" might inspire raised eyebrows and perplexed looks, akin to encountering a pineapple pizza enthusiast in a room full of traditionalists. Yet, as researchers, we must venture into uncharted territories with both curiosity and stoicism, much like an intrepid explorer navigating through uncharted waters while steadfastly clutching a compass.
The analysis that follows is not merely an exercise in quantitative wizardry; it is an attempt to paint a rich, nuanced portrait of the complex tapestry that is New Jersey's political and financial ecosystem. So, with analytical tools in hand and a steady resolve, we beckon you to embark on this scholarly expedition as we unravel the Jersey-Come-and-See Study – a study that is a testament to our commitment to unearthing the unexpected and, dare we say, injecting a spark of levity into the often solemn corridors of academia.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data collected from 2003 to 2020 revealed a significant and eyebrow-raising correlation between Republican votes for Senators in New Jersey and the number of financial services sales agents in the state. The correlation coefficient of 0.9617501 indicates a strong positive relationship between these two variables. In other words, as the Republican votes for Senators in New Jersey increased, so did the number of financial services sales agents in the state, painting a picture of interconnectedness that would make even a spider jealous.
The calculated r-squared value of 0.9249632 further solidifies the strength of this relationship, explaining approximately 92.5% of the variation in the number of financial services sales agents based on the Republican votes for Senators in New Jersey. It's as if they're dancing the salsa – tightly intertwined and almost inseparable.
With a p-value of less than 0.01, the evidence overwhelmingly supports the notion that there is a significant association between conservative political leanings and the vibrant community of financial services sales agents in the Garden State. One might say it's an unlikely "meant to be" match, akin to finding a winning lottery ticket in a forgotten coat pocket.
Fig. 1, not just a mere scatterplot but a visual representation of this symphony of data, vividly illustrates how the number of financial services sales agents rises in harmony with the Republican votes for Senators in New Jersey. It's almost as if the votes whisper sweet nothings into the ears of the financial agents, enticing them to flourish and thrive in the state.
These findings not only shed light on the symbiotic relationship between politics and professional domains but also highlight the unpredictable and delightful surprises that emerge from the enigmatic world of data analysis. As researchers, we are left astounded by the depth of the correlation we have uncovered, much like stumbling upon a pot of gold at the end of a statistical rainbow.
In concluding, one must approach these findings with a sense of marvel and, perhaps, a smirk of amusement. After all, who would have thought that the ebb and flow of political tides would have such a pronounced impact on the landscape of financial professionals in the Garden State? It's a reminder that, in the world of data and statistics, even the most unexpected relationships can sprout like wildflowers in an untouched meadow.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican votes for Senators in New Jersey and The number of financial services sales agents in New Jersey. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study
[[ABSTRACT]]
This scholarly inquiry delves into the astonishing correlation between Republican votes for Senators in New Jersey and the presence of financial services sales agents within the great state. Employing meticulous data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics for the years 2003 to 2020, our investigation reveals a striking correlation coefficient of 0.9617501 with a p-value of less than 0.01. Our findings not only illuminate the influence of political leanings on economic activity but also highlight the interconnectedness of political nuances and professional realms. As we unravel this enigma, we urge readers to approach our findings with both skepticism and, dare we say, a sense of fiscal humor. After all, discovering such intricate relationships in the financial and political landscape is akin to stumbling upon a hidden treasure in the Garden State.
[[LITERATURE REVIEW]]
The connection between political leanings and economic activity has long fascinated scholars, policymakers, and curious onlookers alike. In their seminal work, Smith and Doe (2009) delve into the intricate relationship between political affiliations and economic outcomes, uncovering compelling evidence of the nuanced interplay between these seemingly distinct realms. Building upon this foundation, Jones et al. (2014) expand the discourse to explore the regional variations in political preferences and their potential impact on local economies, providing illuminating insights into the web of interconnectedness between politics and finance.
Turning to the field of economic geography, "The Geography of Wealth and Poverty" by Brown (2017) offers a comprehensive analysis of the geographical distribution of economic activities, shedding light on the spatial dimensions of economic phenomena. This intricate web of connections between political affiliations and regional economic landscapes finds itself further examined in "The Economic Atlas of the United States" by White et al. (2016), where the authors map out the complex interplay of political nuances and economic realities across the nation.
As we delve deeper into the literature, we encounter an unexpected twist, veering into the realm of fiction. From George Orwell's "Animal Farm" to Ayn Rand's "Atlas Shrugged," the portrayal of political ideologies and their potential impact on economic structures provides a lens through which we can glean unconventional insights into the intersection of politics and finance. Such literary escapades push the boundaries of conventional discourse, infusing our scholarly journey with an unexpected dash of whimsy and imagination.
Expanding our purview beyond the written word, let us not discount the influence of visual storytelling on our understanding of political and economic realms. The animated series "Pinky and the Brain" and "Schoolhouse Rock!" may seem whimsical and light-hearted on the surface, but within their narratives lie subtle reflections of power dynamics and economic imperatives that echo the complexities we seek to unravel in our own investigation. These seemingly disparate threads of inquiry remind us that the study of political and economic interconnections often defies traditional boundaries, inviting us to approach our findings with a sense of playful curiosity.
As we wade through this eclectic mix of scholarly works, literary musings, and childhood nostalgia, we are reminded of the multifaceted nature of our inquiry. With each source offering a unique vantage point on the enigmatic fusion of politics and finance, we embark on a quest that is as intellectually rigorous as it is unexpectedly delightful.
[[RESULTS]]
The analysis of the data collected from 2003 to 2020 revealed a significant and eyebrow-raising correlation between Republican votes for Senators in New Jersey and the number of financial services sales agents in the state. The correlation coefficient of 0.9617501 indicates a strong positive relationship between these two variables. In other words, as the Republican votes for Senators in New Jersey increased, so did the number of financial services sales agents in the state, painting a picture of interconnectedness that would make even a spider jealous.
The calculated r-squared value of 0.9249632 further solidifies the strength of this relationship, explaining approximately 92.5% of the variation in the number of financial services sales agents based on the Republican votes for Senators in New Jersey. It's as if they're dancing the salsa – tightly intertwined and almost inseparable.
With a p-value of less than 0.01, the evidence overwhelmingly supports the notion that there is a significant association between conservative political leanings and the vibrant community of financial services sales agents in the Garden State. One might say it's an unlikely "meant to be" match, akin to finding a winning lottery ticket in a forgotten coat pocket.
Fig. 1, not just a mere scatterplot but a visual representation of this symphony of data, vividly illustrates how the number of financial services sales agents rises in harmony with the Republican votes for Senators in New Jersey. It's almost as if the votes whisper sweet nothings into the ears of the financial agents, enticing them to flourish and thrive in the state.
These findings not only shed light on the symbiotic relationship between politics and professional domains but also highlight the unpredictable and delightful surprises that emerge from the enigmatic world of data analysis. As researchers, we are left astounded by the depth of the correlation we have uncovered, much like stumbling upon a pot of gold at the end of a statistical rainbow.
In concluding, one must approach these findings with a sense of marvel and, perhaps, a smirk of amusement. After all, who would have thought that the ebb and flow of political tides would have such a pronounced impact on the landscape of financial professionals in the Garden State? It's a reminder that, in the world of data and statistics, even the most unexpected relationships can sprout like wildflowers in an untouched meadow.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The remarkably strong correlation between Republican votes for Senators in New Jersey and the burgeoning presence of financial services sales agents in the state provides compelling evidence of the intricate interplay between political leanings and economic activities. Our findings, in a surprising alignment with the literature, echo the nuanced web of interconnectedness weaved by previous scholars. The whimsical inclusion of literary and visual inspirations in our literature review, dissected with the utmost seriousness, reminds us that scholarly pursuits often tread uncharted territories of creativity and curiosity, much like a treasure hunt in a labyrinth of intellectual stimulation.
Drawing on the works of Smith and Doe (2009) and Jones et al. (2014), our results affirm the existence of a tangible link between political preferences and regional economic dynamics. The unexpected detour into the domain of fiction serves as a whimsical reminder that even the most unconventional sources can offer unexpected insights worthy of scholarly consideration. In our case, the revelation of a significant association between conservative political leanings and the thriving community of financial services sales agents in the Garden State, akin to finding a rare pearl in an oyster, validates the unconventional approach we have embraced throughout our scholarly journey.
It is evident that the interplay of political nuances and economic realities is far more than a mere statistical dance – it is a complex tango that shapes the economic landscape in intricate ways. As visibly illustrated in our findings, the dance continues with the distinct rise of financial services sales agents in parallel with the growth in Republican votes for Senators in New Jersey. This symbiotic relationship, akin to two puzzle pieces fitting snugly together, not only reaffirms the significance of political inclinations in shaping economic activities but also underscores the delightful surprises that emerge from the analysis of empirical data.
In essence, our study takes a seemingly improbable connection and elevates it to a significant realm of understanding, much like finding unexpected wisdom in a jest. This unlikely marriage between political leanings and financial professionals in New Jersey, akin to discovering a secret handshake between two seemingly unrelated entities, serves as a reminder that scholarly pursuits, much like life itself, can often unfold with a twist of plot worthy of a grand narrative.
The unfolding of this quirky correlation, against all conventional odds, invites us to approach the intersection of politics and finance with a sense of wonder and whimsy, as we navigate through uncharted seas of intellectual inquiry, occasionally encountering hidden gems amidst the tides of data and statistical analysis. After all, in the world of scholarly exploration, even the most improbable findings can nudge us to embrace the serendipitous and unexpected with open arms, like stumbling upon a hidden treasure map in the most unlikely of places.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican votes for Senators in New Jersey and The number of financial services sales agents in New Jersey. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study
[[ABSTRACT]]
This scholarly inquiry delves into the astonishing correlation between Republican votes for Senators in New Jersey and the presence of financial services sales agents within the great state. Employing meticulous data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics for the years 2003 to 2020, our investigation reveals a striking correlation coefficient of 0.9617501 with a p-value of less than 0.01. Our findings not only illuminate the influence of political leanings on economic activity but also highlight the interconnectedness of political nuances and professional realms. As we unravel this enigma, we urge readers to approach our findings with both skepticism and, dare we say, a sense of fiscal humor. After all, discovering such intricate relationships in the financial and political landscape is akin to stumbling upon a hidden treasure in the Garden State.
[[INTRDUCTION]]
INTRODUCTION
The Garden State, renowned for its delicious tomatoes and its residents' fervent belief in the superiority of Jersey Shore over other summer destinations, also serves as an excellent backdrop for our scholarly investigation. As we peel away the layers of this most curious onion, we bring into focus the interplay between political preferences and the professional realm of financial service sales agents.
New Jersey, often overshadowed by its flashy neighbor New York, nevertheless boasts a thriving financial sector, with financial services sales agents playing a pivotal role in the state's economic landscape. But what role, if any, do political leanings play in the distribution and activity of these essential professionals? This is the question that captivates our inquisitive minds and propels our journey into the heart of the Garden State's political and economic labyrinth.
Politics, with its intricate dance of power plays and policy jousts, and finance, with its volatility and unpredictability, are two realms that seemingly operate in separate silos. However, our investigation seeks to unearth potential linkages, connections, and associations that might intertwine these spheres in ways we have yet to fathom.
We understand that the mere mention of "Republican votes" and "financial agents" might inspire raised eyebrows and perplexed looks, akin to encountering a pineapple pizza enthusiast in a room full of traditionalists. Yet, as researchers, we must venture into uncharted territories with both curiosity and stoicism, much like an intrepid explorer navigating through uncharted waters while steadfastly clutching a compass.
The analysis that follows is not merely an exercise in quantitative wizardry; it is an attempt to paint a rich, nuanced portrait of the complex tapestry that is New Jersey's political and financial ecosystem. So, with analytical tools in hand and a steady resolve, we beckon you to embark on this scholarly expedition as we unravel the Jersey-Come-and-See Study – a study that is a testament to our commitment to unearthing the unexpected and, dare we say, injecting a spark of levity into the often solemn corridors of academia.
[[RESULTS]]
The analysis of the data collected from 2003 to 2020 revealed a significant and eyebrow-raising correlation between Republican votes for Senators in New Jersey and the number of financial services sales agents in the state. The correlation coefficient of 0.9617501 indicates a strong positive relationship between these two variables. In other words, as the Republican votes for Senators in New Jersey increased, so did the number of financial services sales agents in the state, painting a picture of interconnectedness that would make even a spider jealous.
The calculated r-squared value of 0.9249632 further solidifies the strength of this relationship, explaining approximately 92.5% of the variation in the number of financial services sales agents based on the Republican votes for Senators in New Jersey. It's as if they're dancing the salsa – tightly intertwined and almost inseparable.
With a p-value of less than 0.01, the evidence overwhelmingly supports the notion that there is a significant association between conservative political leanings and the vibrant community of financial services sales agents in the Garden State. One might say it's an unlikely "meant to be" match, akin to finding a winning lottery ticket in a forgotten coat pocket.
Fig. 1, not just a mere scatterplot but a visual representation of this symphony of data, vividly illustrates how the number of financial services sales agents rises in harmony with the Republican votes for Senators in New Jersey. It's almost as if the votes whisper sweet nothings into the ears of the financial agents, enticing them to flourish and thrive in the state.
These findings not only shed light on the symbiotic relationship between politics and professional domains but also highlight the unpredictable and delightful surprises that emerge from the enigmatic world of data analysis. As researchers, we are left astounded by the depth of the correlation we have uncovered, much like stumbling upon a pot of gold at the end of a statistical rainbow.
In concluding, one must approach these findings with a sense of marvel and, perhaps, a smirk of amusement. After all, who would have thought that the ebb and flow of political tides would have such a pronounced impact on the landscape of financial professionals in the Garden State? It's a reminder that, in the world of data and statistics, even the most unexpected relationships can sprout like wildflowers in an untouched meadow.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In concluding this scholarly endeavor, it is crucial to emphasize the gravity of the correlation uncovered between Republican votes for Senators in New Jersey and the flourishing community of financial services sales agents in the state. The findings not only warrant further investigation but also serve as a gentle reminder that in the domain of statistics, even the most unexpected relationships can yield fascinating discoveries.
The implications of our study stretch far and wide, much like the allure of a Jersey Shore boardwalk in the summertime. It prompts contemplation on the intricate dance between political dynamics and professional spheres, infusing a sense of wonder akin to stumbling upon a diamond in the rough. This correlation, with a strength comparable to a Garden State tomato vine holding up its ripe fruits, underscores the interconnectedness we often fail to discern in the labyrinthine landscape of economic and political forces.
As we bid adieu to this Jersey-Come-and-See Study, it becomes evident that no more research in this area is needed. The results speak for themselves, and the idea of uncovering more relationships between unexpected factors is about as likely as finding a unicorn in a cornfield. Therefore, this study stands as a testament to the serendipitous nature of statistical analysis and serves as a gentle nudge to approach research findings with a sprinkle of curiosity and a dash of humor. Thank you for accompanying us on this academic journey.
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 Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study. Respond only with the name of a fictional academic journal.
ChatGPT:
The Garden State Journal of Political and Economic 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 Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Economic Growth and Political Impact Studies
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study with an abstract of This scholarly inquiry delves into the astonishing correlation between Republican votes for Senators in New Jersey and the presence of financial services sales agents within the great state. Employing meticulous data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Bureau of Labor Statistics for the years 2003 to 2020, our investigation reveals a striking correlation coefficient of 0.9617501 with a p-value of less than 0.01. Our findings not only illuminate the influence of political leanings on economic activity but also highlight the interconnectedness of political nuances and professional realms. As we unravel this enigma, we urge readers to approach our findings with both skepticism and, dare we say, a sense of fiscal humor. After all, discovering such intricate relationships in the financial and political landscape is akin to stumbling upon a hidden treasure in the Garden State.
ChatGPT:
Republican votes, New Jersey, financial services, sales agents, correlation, MIT Election Data and Science Lab, Harvard Dataverse, Bureau of Labor Statistics, 2003-2020, correlation coefficient, p-value, political influence, economic activity, professional realms, fiscal humor, hidden treasure
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
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Data details
Votes for Republican Senators in New JerseyDetailed data title: Total number of votes cast for Federal Republican Senate candidates in New Jersey
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Republican Senators in New Jersey
The number of financial services sales agents in New Jersey
Detailed data title: BLS estimate of securities, commodities, and financial services sales agents in New Jersey
Source: Bureau of Larbor Statistics
See what else correlates with The number of financial services sales agents in New Jersey
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 = 0.9249632 (Coefficient of determination)
This means 92.5% of the change in the one variable (i.e., The number of financial services sales agents in New Jersey) is predictable based on the change in the other (i.e., Votes for Republican Senators in New Jersey) over the 6 years from 2003 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0022. 0.0021666057029918580000000000
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 0.96 in 0.22% of random cases. Said differently, if you correlated 462 random variables Which I absolutely did.
with the same 5 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 5 because we have two variables measured over a period of 6 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.
[ 0.68, 1 ] 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.
| 2006 | 2008 | 2012 | 2014 | 2018 | 2020 | |
| Votes for Republican Senators in New Jersey (Total votes) | 997775 | 1461020 | 1329530 | 791297 | 1357360 | 1817050 |
| The number of financial services sales agents in New Jersey (Laborers) | 11180 | 15390 | 13900 | 9990 | 15440 | 16680 |
Why this works
- Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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. - Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
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([997775,1461020,1329530,791297,1357360,1817050,])
array_2 = np.array([11180,15390,13900,9990,15440,16680,])
array_1_name = "Votes for Republican Senators in New Jersey"
array_2_name = "The number of financial services sales agents in New Jersey"
# 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 Votes for Republican Senators in New Jersey
- Line chart for only The number of financial services sales agents in New Jersey
- AI-generated correlation image
- The spurious research paper: Conservative Votes Influence on Financial Agent Flourish in the Garden State: A Jersey-Come-and-See Study
Thanks for being the explorer we needed!
Correlation ID: 5726 · Black Variable ID: 26283 · Red Variable ID: 11663
