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AI explanation
As the number of bridge and lock tenders in Massachusetts increased, there was a corresponding surge in enthusiasm for operating machinery. This unexpected jolt of energy was mysteriously transmitted through the Earth's core to Antarctica, sparking a boom in electricity generation. It seems the power of Massachusetts' 'tender' loving care knows no bounds!
Model: dalle-3
Prompt: Generate an image that captures the essence of a high-tech revolution and the majesty of Antarctica's icy landscapes. Show a futuristic facility emitting vibrant waves of electricity, powered by the awe-struck faces of travelers gazing at the stunning frozen beauty of Antarctica. The landscape should be dominated by icy peaks, glittering glaciers, and an otherworldly aura, with the travelers' expressions showing amazement and wonder. The high-tech elements should feel seamlessly integrated into the serene, natural surroundings, evoking a sense of harmonious coexistence between advanced technology and untamed wilderness. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: a Polaroid photo Sci-fi fantacy inspired by bauhaus High-tech Low poly
ChatGPT: High-tech
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica, in the following situation: As the number of bridge and lock tenders in Massachusetts decreases, more people become "unlocked" and free to travel to Antarctica. These travelers constantly gaze at stunning landscapes, generating so much electricity with their "shocking" beauty that it powers the continent.. Keep the description simple.
ChatGPT: As the number of bridge and lock tenders in Massachusetts decreases, more people become "unlocked" and free to travel to Antarctica. Over in Antarctica, these travelers stand in awe of the stunning icy landscapes, their amazed faces generating waves of electricity that power the entire continent.
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: [ High-tech ] and depicting this scene: As the number of bridge and lock tenders in Massachusetts decreases, more people become "unlocked" and free to travel to Antarctica. Over in Antarctica, these travelers stand in awe of the stunning icy landscapes, their amazed faces generating waves of electricity that power the entire continent. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that captures the essence of a high-tech revolution and the majesty of Antarctica's icy landscapes. Show a futuristic facility emitting vibrant waves of electricity, powered by the awe-struck faces of travelers gazing at the stunning frozen beauty of Antarctica. The landscape should be dominated by icy peaks, glittering glaciers, and an otherworldly aura, with the travelers' expressions showing amazement and wonder. The high-tech elements should feel seamlessly integrated into the serene, natural surroundings, evoking a sense of harmonious coexistence between advanced technology and untamed wilderness.
*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 increases in The number of bridge and lock tenders in Massachusetts positively influenced Electricity generation in Antarctica. Add a funny one-liner at the end.
AI academic paper
 |
Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink The Journal of Quirky Infrastructure Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica. Make lots of jokes, goofy observations, and puns.
Rhyme words in the title.
Your research team used data from Bureau of Larbor Statistics and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.8761766 and p < 0.01 for 2005 to 2016.
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]]
Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink
[[ABSTRACT]]
This paper presents a peculiar investigation into the seemingly unrelated worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. With a dash of humor and a sprinkle of data analysis, we aim to shed light on the unexpected connection between these two seemingly disparate domains. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our research team takes a whimsical yet rigorous approach to assess the relationship that has left many scratching their heads. The correlation coefficient of 0.8761766 and p < 0.01 for the period from 2005 to 2016 raises eyebrows and elicits curiosity. Our findings not only entertain but also underscore the importance of looking beyond conventional wisdom in the pursuit of scientific inquiry. So, join us on this thrilling adventure as we unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
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 The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica. Make lots of 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]]
Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink
[[ABSTRACT]]
This paper presents a peculiar investigation into the seemingly unrelated worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. With a dash of humor and a sprinkle of data analysis, we aim to shed light on the unexpected connection between these two seemingly disparate domains. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our research team takes a whimsical yet rigorous approach to assess the relationship that has left many scratching their heads. The correlation coefficient of 0.8761766 and p < 0.01 for the period from 2005 to 2016 raises eyebrows and elicits curiosity. Our findings not only entertain but also underscore the importance of looking beyond conventional wisdom in the pursuit of scientific inquiry. So, join us on this thrilling adventure as we unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
Like two ships passing in the night, the worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica seem to navigate separate currents. Yet, in the murky waters of statistical analysis, we stumbled upon a strange current that appeared to tie these two disparate domains together. As researchers, we are no strangers to finding surprising correlations in the tangled web of data, but this particular link was akin to catching a fish with a magnet - utterly puzzling yet strangely fascinating.
In the oceans of data from the Bureau of Labor Statistics and the Energy Information Administration, our research team embarked on a journey filled with unexpected twists and turns. Armed with spreadsheets and an arsenal of puns, we set out to decipher the connection between the number of bridge and lock tenders in Massachusetts and the enigma of electricity generation in the land of eternal ice. Our adventure, much like a roller coaster, was equal parts thrilling and stomach-churning, fueled by caffeine and the occasional punchline.
Drawing on the wisdom of statistical analysis and the whimsy of a detective novel, our investigation unearthed a correlation coefficient of 0.8761766 and a p-value of less than 0.01 for the period spanning from 2005 to 2016. If numbers could raise their eyebrows in surprise, surely these would have done so. Our findings beckoned us to look beyond the obvious and dare to explore the unconventional in the pursuit of scientific inquiry.
As we delve into the heart of this peculiar puzzle, we invite you, dear readers, to don your thinking caps and join us in unraveling the enigmatic kink between the bridge and lock tenders and the electricity rink. Prepare to be amused, bemused, and perhaps even slightly confused as we embark on this delightful escapade through the seemingly uncharted waters of statistical oddities and unexpected connections.
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 The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica. Make lots of jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.
Here is the title and abstract of the paper:
[[TITLE]]
Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink
[[ABSTRACT]]
This paper presents a peculiar investigation into the seemingly unrelated worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. With a dash of humor and a sprinkle of data analysis, we aim to shed light on the unexpected connection between these two seemingly disparate domains. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our research team takes a whimsical yet rigorous approach to assess the relationship that has left many scratching their heads. The correlation coefficient of 0.8761766 and p < 0.01 for the period from 2005 to 2016 raises eyebrows and elicits curiosity. Our findings not only entertain but also underscore the importance of looking beyond conventional wisdom in the pursuit of scientific inquiry. So, join us on this thrilling adventure as we unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Like two ships passing in the night, the worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica seem to navigate separate currents. Yet, in the murky waters of statistical analysis, we stumbled upon a strange current that appeared to tie these two disparate domains together. As researchers, we are no strangers to finding surprising correlations in the tangled web of data, but this particular link was akin to catching a fish with a magnet - utterly puzzling yet strangely fascinating.
In the oceans of data from the Bureau of Labor Statistics and the Energy Information Administration, our research team embarked on a journey filled with unexpected twists and turns. Armed with spreadsheets and an arsenal of puns, we set out to decipher the connection between the number of bridge and lock tenders in Massachusetts and the enigma of electricity generation in the land of eternal ice. Our adventure, much like a roller coaster, was equal parts thrilling and stomach-churning, fueled by caffeine and the occasional punchline.
Drawing on the wisdom of statistical analysis and the whimsy of a detective novel, our investigation unearthed a correlation coefficient of 0.8761766 and a p-value of less than 0.01 for the period spanning from 2005 to 2016. If numbers could raise their eyebrows in surprise, surely these would have done so. Our findings beckoned us to look beyond the obvious and dare to explore the unconventional in the pursuit of scientific inquiry.
As we delve into the heart of this peculiar puzzle, we invite you, dear readers, to don your thinking caps and join us in unraveling the enigmatic kink between the bridge and lock tenders and the electricity rink. Prepare to be amused, bemused, and perhaps even slightly confused as we embark on this delightful escapade through the seemingly uncharted waters of statistical oddities and unexpected connections.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
As we anchor our investigation of the perplexing correlation between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica, we first turn our attention to the work of Smith et al. In their seminal study "Bridging the Gap: Employment Patterns in Massachusetts," Smith et al. highlight the diverse roles undertaken by bridge and lock tenders within the state, shedding light on the often overlooked yet crucial aspects of maritime traffic regulation and infrastructure maintenance. While their work does not directly touch upon electricity generation, it lays the groundwork for understanding the multifaceted responsibilities of these unsung heroes of Massachusetts' waterways.
Doe's comprehensive analysis in "Currents and Connections: Exploring Electricity Generation in Extreme Environments" provides valuable insights into the challenges and innovations in remote power generation, including the intricacies of Antarctic electricity production. However, the specific link between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica remains uncharted in Doe's work.
Jones' extensive research in "Locks, Bridges, and Beyond: A Comprehensive Study of Waterway Management" offers a detailed exploration of the operational dynamics and historical significance of locks and bridges across various regions. Despite the breadth of Jones' investigation, the direct intersection with the realm of electricity generation in Antarctica is but a distant horizon in the context of her work.
Venturing beyond the realm of empirical studies and data analysis, we pivot to the realm of literature and fictional narratives for potential insights into the elusive connection between bridge and lock tenders and electricity generation. "The Bridge Keeper's Dilemma" by A.F. Barnes may initially appear as a work of fiction, but its whimsical portrayal of a bridge tender's daily challenges hints at the underlying complexities of this often underappreciated profession. Meanwhile, "The Antarctica Chronicles" by K. Winter transports readers to the icy expanse of Antarctica, offering a fictional yet vivid portrayal of life and survival in a remote environment where electricity generation stands as a lifeline to warmth and light.
In our quest to embrace the unconventional and explore uncharted territories, we also draw inspiration from unexpected sources, including cartoons and children's shows, to infuse a sense of wonder into our research endeavors. Through the lens of animated series such as "Bob the Builder" and "Paw Patrol," we gain an offbeat yet endearing perspective on the vital roles of infrastructure maintenance and problem-solving, shedding light on the essential contributions of bridge and lock tenders in their animated worlds.
With our compass calibrated for curiosity and our sense of humor intact, we navigate the scholarly seas and imaginative realms alike, seeking to unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
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 The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Energy Information Administration . You used data from 2005 to 2016
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]]
Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink
[[ABSTRACT]]
This paper presents a peculiar investigation into the seemingly unrelated worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. With a dash of humor and a sprinkle of data analysis, we aim to shed light on the unexpected connection between these two seemingly disparate domains. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our research team takes a whimsical yet rigorous approach to assess the relationship that has left many scratching their heads. The correlation coefficient of 0.8761766 and p < 0.01 for the period from 2005 to 2016 raises eyebrows and elicits curiosity. Our findings not only entertain but also underscore the importance of looking beyond conventional wisdom in the pursuit of scientific inquiry. So, join us on this thrilling adventure as we unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
[[INTRODUCTION]]
Like two ships passing in the night, the worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica seem to navigate separate currents. Yet, in the murky waters of statistical analysis, we stumbled upon a strange current that appeared to tie these two disparate domains together. As researchers, we are no strangers to finding surprising correlations in the tangled web of data, but this particular link was akin to catching a fish with a magnet - utterly puzzling yet strangely fascinating.
In the oceans of data from the Bureau of Labor Statistics and the Energy Information Administration, our research team embarked on a journey filled with unexpected twists and turns. Armed with spreadsheets and an arsenal of puns, we set out to decipher the connection between the number of bridge and lock tenders in Massachusetts and the enigma of electricity generation in the land of eternal ice. Our adventure, much like a roller coaster, was equal parts thrilling and stomach-churning, fueled by caffeine and the occasional punchline.
Drawing on the wisdom of statistical analysis and the whimsy of a detective novel, our investigation unearthed a correlation coefficient of 0.8761766 and a p-value of less than 0.01 for the period spanning from 2005 to 2016. If numbers could raise their eyebrows in surprise, surely these would have done so. Our findings beckoned us to look beyond the obvious and dare to explore the unconventional in the pursuit of scientific inquiry.
As we delve into the heart of this peculiar puzzle, we invite you, dear readers, to don your thinking caps and join us in unraveling the enigmatic kink between the bridge and lock tenders and the electricity rink. Prepare to be amused, bemused, and perhaps even slightly confused as we embark on this delightful escapade through the seemingly uncharted waters of statistical oddities and unexpected connections.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unlock the secrets of the intriguing correlation between the number of bridge and lock tenders in Massachusetts and the electrifying world of electricity generation in Antarctica, our research team employed a whimsical yet methodical approach. Picture Sherlock Holmes donning a lab coat and wielding a calculator – that was the spirit with which we approached our data analysis.
First, we scoured the depths of the Bureau of Labor Statistics (BLS) and the Energy Information Administration (EIA) like eager treasure hunters on a digital expedition. Our trusty internet wagon was loaded with spreadsheets, databases, and a plethora of caffeinated beverages to keep our minds sharp and vigilant. With the precision of a watchmaker and the enthusiasm of a dog chasing its tail, we meticulously combed through the data spanning the years 2005 to 2016, ensuring no statistical stone was left unturned.
The number of bridge and lock tenders in Massachusetts was gathered with the same fervor and meticulousness as counting jellybeans in a jar at a county fair. We left no bridge un-crossed and no lock unturned, ensuring that our data capture was as comprehensive as possible. A series of conversations with industry experts and stakeholders provided valuable context and insights, akin to whispering secrets from the universe into our eager ears.
Simultaneously, we ventured into the icy terrain of Antarctica's electricity generation landscape, navigating through the frosty labyrinth of EIA data like intrepid explorers in search of hidden treasure. With fingers undoubtedly chilled from the digital cold, we pored over generation statistics, transmission volumes, and distribution patterns, collecting what can only be described as the scientific equivalent of snowflakes in a blizzard.
The statistical pilgrimage then took us on a journey through the whimsical yet formidable terrain of correlation analysis. Armed with the trusty tools of Pearson's correlation coefficient and a sprinkle of charm, we set out to quantify the peculiar relationship between the number of bridge and lock tenders in Massachusetts and the electricity generation rigmarole in Antarctica. Our statistical machinery hummed and whirred like a contented R2-D2, producing the eyebrow-raising correlation coefficient of 0.8761766 and a p-value that elicited a collective gasp from our research team.
In the spirit of whimsy and scientific rigor, our methodology transcended the typical confines of data analysis, infusing the mundane with moments of amusement and a touch of the unexpected. In the words of Sir Arthur Conan Doyle, "It is a capital mistake to theorize before one has data." In this delightful pursuit, we found ourselves agreeing with the esteemed words of the detective's creator, as we endeavored to let the data unfold its mysteries with all the merriment of a detective solving a case at a carnival.
As we donned our statistical deerstalkers and embarked on this scientific escapade, we remained steadfast in our commitment to uncovering the enchanting connection between the bridge and lock tenders and the electricity rink. This methodology, fueled by equal parts curiosity and caffeine, served as our trusty compass through the whimsical wilderness of unexpected correlations and delightful discoveries.
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 The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Energy Information Administration .
For the time period 2005 to 2016, you found a correlation 0.8761766, r-squared of 0.7676854, 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]]
Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink
[[ABSTRACT]]
This paper presents a peculiar investigation into the seemingly unrelated worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. With a dash of humor and a sprinkle of data analysis, we aim to shed light on the unexpected connection between these two seemingly disparate domains. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our research team takes a whimsical yet rigorous approach to assess the relationship that has left many scratching their heads. The correlation coefficient of 0.8761766 and p < 0.01 for the period from 2005 to 2016 raises eyebrows and elicits curiosity. Our findings not only entertain but also underscore the importance of looking beyond conventional wisdom in the pursuit of scientific inquiry. So, join us on this thrilling adventure as we unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
Like two ships passing in the night, the worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica seem to navigate separate currents. Yet, in the murky waters of statistical analysis, we stumbled upon a strange current that appeared to tie these two disparate domains together. As researchers, we are no strangers to finding surprising correlations in the tangled web of data, but this particular link was akin to catching a fish with a magnet - utterly puzzling yet strangely fascinating.
In the oceans of data from the Bureau of Labor Statistics and the Energy Information Administration, our research team embarked on a journey filled with unexpected twists and turns. Armed with spreadsheets and an arsenal of puns, we set out to decipher the connection between the number of bridge and lock tenders in Massachusetts and the enigma of electricity generation in the land of eternal ice. Our adventure, much like a roller coaster, was equal parts thrilling and stomach-churning, fueled by caffeine and the occasional punchline.
Drawing on the wisdom of statistical analysis and the whimsy of a detective novel, our investigation unearthed a correlation coefficient of 0.8761766 and a p-value of less than 0.01 for the period spanning from 2005 to 2016. If numbers could raise their eyebrows in surprise, surely these would have done so. Our findings beckoned us to look beyond the obvious and dare to explore the unconventional in the pursuit of scientific inquiry.
As we delve into the heart of this peculiar puzzle, we invite you, dear readers, to don your thinking caps and join us in unraveling the enigmatic kink between the bridge and lock tenders and the electricity rink. Prepare to be amused, bemused, and perhaps even slightly confused as we embark on this delightful escapade through the seemingly uncharted waters of statistical oddities and unexpected connections.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our investigation into the uncanny relationship between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica have unveiled a correlation coefficient of 0.8761766, a robust r-squared value of 0.7676854, and a p-value of less than 0.01 for the period from 2005 to 2016. These numbers not only raised an eyebrow or two but also prompted a round of applause from the statistical aficionados in the research community.
Fig. 1 beautifully encapsulates the strong correlation between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. The scatterplot is a visual feast for the eyes, akin to a well-choreographed dance between these seemingly disparate variables, leaving no room for doubt about their unexpectedly tight bond.
This finding is akin to stumbling upon a treasure map while doing laundry; it defies conventional wisdom and invites a playful game of connect-the-dots across geographic and occupational boundaries. Our results not only add a dash of whimsy to the realm of scientific inquiry but also serve as a humorous reminder of the unpredictability of data – much like trying to predict the next punchline in a stand-up comedy routine.
The substantial correlation coefficient and r-squared value suggest that there is more than meets the eye in this saga of bridge and lock tenders shaping the landscape of electricity generation in the icy realms of Antarctica. These results serve as a gentle tap on the shoulder, nudging us to acknowledge the serendipitous connections that often lurk beneath the surface of mundane statistical analyses.
In summary, our findings do more than just unlock the mystery of the bridge and lock tenders' influence on electricity generation in Antarctica; they add a touch of enigma and intrigue to the seemingly cut-and-dried world of research. Much like a good joke, this unexpected link between seemingly unrelated variables leaves us pondering the whimsical nature of scientific exploration.
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 The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica. Make lots of 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]]
Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink
[[ABSTRACT]]
This paper presents a peculiar investigation into the seemingly unrelated worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. With a dash of humor and a sprinkle of data analysis, we aim to shed light on the unexpected connection between these two seemingly disparate domains. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our research team takes a whimsical yet rigorous approach to assess the relationship that has left many scratching their heads. The correlation coefficient of 0.8761766 and p < 0.01 for the period from 2005 to 2016 raises eyebrows and elicits curiosity. Our findings not only entertain but also underscore the importance of looking beyond conventional wisdom in the pursuit of scientific inquiry. So, join us on this thrilling adventure as we unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
[[LITERATURE REVIEW]]
As we anchor our investigation of the perplexing correlation between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica, we first turn our attention to the work of Smith et al. In their seminal study "Bridging the Gap: Employment Patterns in Massachusetts," Smith et al. highlight the diverse roles undertaken by bridge and lock tenders within the state, shedding light on the often overlooked yet crucial aspects of maritime traffic regulation and infrastructure maintenance. While their work does not directly touch upon electricity generation, it lays the groundwork for understanding the multifaceted responsibilities of these unsung heroes of Massachusetts' waterways.
Doe's comprehensive analysis in "Currents and Connections: Exploring Electricity Generation in Extreme Environments" provides valuable insights into the challenges and innovations in remote power generation, including the intricacies of Antarctic electricity production. However, the specific link between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica remains uncharted in Doe's work.
Jones' extensive research in "Locks, Bridges, and Beyond: A Comprehensive Study of Waterway Management" offers a detailed exploration of the operational dynamics and historical significance of locks and bridges across various regions. Despite the breadth of Jones' investigation, the direct intersection with the realm of electricity generation in Antarctica is but a distant horizon in the context of her work.
Venturing beyond the realm of empirical studies and data analysis, we pivot to the realm of literature and fictional narratives for potential insights into the elusive connection between bridge and lock tenders and electricity generation. "The Bridge Keeper's Dilemma" by A.F. Barnes may initially appear as a work of fiction, but its whimsical portrayal of a bridge tender's daily challenges hints at the underlying complexities of this often underappreciated profession. Meanwhile, "The Antarctica Chronicles" by K. Winter transports readers to the icy expanse of Antarctica, offering a fictional yet vivid portrayal of life and survival in a remote environment where electricity generation stands as a lifeline to warmth and light.
In our quest to embrace the unconventional and explore uncharted territories, we also draw inspiration from unexpected sources, including cartoons and children's shows, to infuse a sense of wonder into our research endeavors. Through the lens of animated series such as "Bob the Builder" and "Paw Patrol," we gain an offbeat yet endearing perspective on the vital roles of infrastructure maintenance and problem-solving, shedding light on the essential contributions of bridge and lock tenders in their animated worlds.
With our compass calibrated for curiosity and our sense of humor intact, we navigate the scholarly seas and imaginative realms alike, seeking to unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
[[RESULTS]]
The results of our investigation into the uncanny relationship between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica have unveiled a correlation coefficient of 0.8761766, a robust r-squared value of 0.7676854, and a p-value of less than 0.01 for the period from 2005 to 2016. These numbers not only raised an eyebrow or two but also prompted a round of applause from the statistical aficionados in the research community.
Fig. 1 beautifully encapsulates the strong correlation between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. The scatterplot is a visual feast for the eyes, akin to a well-choreographed dance between these seemingly disparate variables, leaving no room for doubt about their unexpectedly tight bond.
This finding is akin to stumbling upon a treasure map while doing laundry; it defies conventional wisdom and invites a playful game of connect-the-dots across geographic and occupational boundaries. Our results not only add a dash of whimsy to the realm of scientific inquiry but also serve as a humorous reminder of the unpredictability of data – much like trying to predict the next punchline in a stand-up comedy routine.
The substantial correlation coefficient and r-squared value suggest that there is more than meets the eye in this saga of bridge and lock tenders shaping the landscape of electricity generation in the icy realms of Antarctica. These results serve as a gentle tap on the shoulder, nudging us to acknowledge the serendipitous connections that often lurk beneath the surface of mundane statistical analyses.
In summary, our findings do more than just unlock the mystery of the bridge and lock tenders' influence on electricity generation in Antarctica; they add a touch of enigma and intrigue to the seemingly cut-and-dried world of research. Much like a good joke, this unexpected link between seemingly unrelated variables leaves us pondering the whimsical nature of scientific exploration.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our findings have unfurled a rather peculiar tale of correlation and connection, weaving a narrative that transcends occupational boundaries and geographical distances. The robust correlation coefficient, r-squared value, and p-value coax us to ponder the inexplicable tether between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. It's almost as if the data itself is donning a pair of comedy glasses and winking at us mischievously, prompting more questions than definitive answers.
Our results validate the prior research with a dash of whimsy, reinforcing the overlooked significance of bridge and lock tenders in the grand tapestry of maritime operations within Massachusetts. Just as "Bob the Builder" imparts life lessons through animated adventures, our findings underscore the undeniably impactful roles of these tenders, albeit in the less buoyant realm of statistical analysis.
Doe's exploration of extreme environments in electricity generation, despite not directly intersecting with our peculiar linkage, inadvertently sets the stage for our unexpected discovery. It's akin to stumbling upon a hidden punchline in a complex statistical model, where the laughter echoes across the barren landscapes of research skepticism.
As for Jones' comprehensive study diving into waterway management, the distant horizon of electricity generation in Antarctica remains a tad closer now, thanks to our serendipitous findings. It's as if our results have reimagined the distant horizon as a whimsical funhouse mirror, distorting the conventional landscape of research and inviting us to jest at the seemingly uncrossable waters separating these diverse domains.
Our results don't just unlock the door to an unexpected correlation; they add a layer of complexity and amusement to the field of statistical analysis. It's as if statistical significance itself dons a carnival mask, parading through the realm of academia with a sly grin, challenging the staunch complacency of conventional research wisdom.
In essence, our discovery stands as a testament to the delightful unpredictability of scientific inquiry, reminding us that beneath the austere facade of data and statistics, there lies a realm of whimsy and wonder, where unexpected ties and correlations dance in joyous defiance of conventional logic.
As we revel in the delight of this unexpected link, we are reminded that the pursuit of knowledge can be just as playful and enigmatic as it is rigorous and disciplined. Much like the anticipation of a perfectly timed punchline, our findings provoke a sense of curiosity and amusement that elevates the scientific endeavor beyond the rigidity of conventional scholarship.
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 The number of bridge and lock tenders in Massachusetts and Electricity generation in Antarctica. Make lots of 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]]
Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink
[[ABSTRACT]]
This paper presents a peculiar investigation into the seemingly unrelated worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. With a dash of humor and a sprinkle of data analysis, we aim to shed light on the unexpected connection between these two seemingly disparate domains. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our research team takes a whimsical yet rigorous approach to assess the relationship that has left many scratching their heads. The correlation coefficient of 0.8761766 and p < 0.01 for the period from 2005 to 2016 raises eyebrows and elicits curiosity. Our findings not only entertain but also underscore the importance of looking beyond conventional wisdom in the pursuit of scientific inquiry. So, join us on this thrilling adventure as we unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
[[INTRDUCTION]]
Like two ships passing in the night, the worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica seem to navigate separate currents. Yet, in the murky waters of statistical analysis, we stumbled upon a strange current that appeared to tie these two disparate domains together. As researchers, we are no strangers to finding surprising correlations in the tangled web of data, but this particular link was akin to catching a fish with a magnet - utterly puzzling yet strangely fascinating.
In the oceans of data from the Bureau of Labor Statistics and the Energy Information Administration, our research team embarked on a journey filled with unexpected twists and turns. Armed with spreadsheets and an arsenal of puns, we set out to decipher the connection between the number of bridge and lock tenders in Massachusetts and the enigma of electricity generation in the land of eternal ice. Our adventure, much like a roller coaster, was equal parts thrilling and stomach-churning, fueled by caffeine and the occasional punchline.
Drawing on the wisdom of statistical analysis and the whimsy of a detective novel, our investigation unearthed a correlation coefficient of 0.8761766 and a p-value of less than 0.01 for the period spanning from 2005 to 2016. If numbers could raise their eyebrows in surprise, surely these would have done so. Our findings beckoned us to look beyond the obvious and dare to explore the unconventional in the pursuit of scientific inquiry.
As we delve into the heart of this peculiar puzzle, we invite you, dear readers, to don your thinking caps and join us in unraveling the enigmatic kink between the bridge and lock tenders and the electricity rink. Prepare to be amused, bemused, and perhaps even slightly confused as we embark on this delightful escapade through the seemingly uncharted waters of statistical oddities and unexpected connections.
[[RESULTS]]
The results of our investigation into the uncanny relationship between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica have unveiled a correlation coefficient of 0.8761766, a robust r-squared value of 0.7676854, and a p-value of less than 0.01 for the period from 2005 to 2016. These numbers not only raised an eyebrow or two but also prompted a round of applause from the statistical aficionados in the research community.
Fig. 1 beautifully encapsulates the strong correlation between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. The scatterplot is a visual feast for the eyes, akin to a well-choreographed dance between these seemingly disparate variables, leaving no room for doubt about their unexpectedly tight bond.
This finding is akin to stumbling upon a treasure map while doing laundry; it defies conventional wisdom and invites a playful game of connect-the-dots across geographic and occupational boundaries. Our results not only add a dash of whimsy to the realm of scientific inquiry but also serve as a humorous reminder of the unpredictability of data – much like trying to predict the next punchline in a stand-up comedy routine.
The substantial correlation coefficient and r-squared value suggest that there is more than meets the eye in this saga of bridge and lock tenders shaping the landscape of electricity generation in the icy realms of Antarctica. These results serve as a gentle tap on the shoulder, nudging us to acknowledge the serendipitous connections that often lurk beneath the surface of mundane statistical analyses.
In summary, our findings do more than just unlock the mystery of the bridge and lock tenders' influence on electricity generation in Antarctica; they add a touch of enigma and intrigue to the seemingly cut-and-dried world of research. Much like a good joke, this unexpected link between seemingly unrelated variables leaves us pondering the whimsical nature of scientific exploration.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has revealed a peculiar and unexpectedly strong correlation between the number of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. It appears that these seemingly unrelated domains are engaged in a covert dance, orchestrating a symphony of statistical intrigue that defies conventional wisdom. The correlation coefficient of 0.8761766 has not only raised eyebrows but has also sparked conversations about the whimsical nature of scientific inquiry. It's as if the bridge and lock tenders are secretly whispering to the Antarctic turbines, "You can't lock us out of this electricity rink!"
Our findings serve as a delightful reminder that in the world of data analysis, one must be prepared for surprises that are as unexpected as a unicorn sighting in a data center. The robust r-squared value of 0.7676854 further cements the notion that statistical relationships can be as surprising as a magician pulling a rabbit out of a hat – it's all about the unexpected connections that leave us in awe and amusement.
As we bid adieu to this quirky exploration, it's clear that the bridge and lock tenders in Massachusetts hold more power than meets the eye, perhaps whispering magical incantations that influence electricity generation in the frosty expanse of Antarctica. It's as if statistical averages are mere mortals in the presence of these enchanting variables, dancing to the beat of an unconventional drum.
In the spirit of scientific inquiry, we declare that no further research is needed in this area. Our findings have not only unlocked the enigmatic link but have also sprinkled a generous dose of whimsy into the usually staid world of research. Let us bask in the joy of this unexpected connection, like discovering a secret ingredient in a recipe that defies all culinary expectations. As we close this chapter, we invite fellow researchers to embrace the unexpected, for in the world of statistics, truth is often stranger than fiction.
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 Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Quirky Infrastructure 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 Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Eccentric Engineer 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 Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink with an abstract of This paper presents a peculiar investigation into the seemingly unrelated worlds of bridge and lock tenders in Massachusetts and electricity generation in Antarctica. With a dash of humor and a sprinkle of data analysis, we aim to shed light on the unexpected connection between these two seemingly disparate domains. Leveraging data from the Bureau of Labor Statistics and the Energy Information Administration, our research team takes a whimsical yet rigorous approach to assess the relationship that has left many scratching their heads. The correlation coefficient of 0.8761766 and p < 0.01 for the period from 2005 to 2016 raises eyebrows and elicits curiosity. Our findings not only entertain but also underscore the importance of looking beyond conventional wisdom in the pursuit of scientific inquiry. So, join us on this thrilling adventure as we unravel the mystery of the bridge and lock tenders' influence on electricity generation in the distant land of ice.
ChatGPT:
bridge tenders, lock tenders, Massachusetts, electricity generation, Antarctica, data analysis, correlation coefficient, Bureau of Labor Statistics, Energy Information Administration, scientific inquiry
*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
The number of bridge and lock tenders in MassachusettsDetailed data title: BLS estimate of bridge and lock tenders in Massachusetts
Source: Bureau of Larbor Statistics
See what else correlates with The number of bridge and lock tenders in Massachusetts
Electricity generation in Antarctica
Detailed data title: Total electricity generation in Antarctica in billion kWh
Source: Energy Information Administration
See what else correlates with Electricity generation in Antarctica
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 = 0.7676854 (Coefficient of determination)
This means 76.8% of the change in the one variable (i.e., Electricity generation in Antarctica) is predictable based on the change in the other (i.e., The number of bridge and lock tenders in Massachusetts) over the 12 years from 2005 through 2016.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00019. 0.0001855517773410205700000000
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 0.88 in 0.019% of random cases. Said differently, if you correlated 5,389 random variables Which I absolutely did.
with the same 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.
[ 0.61, 0.96 ] 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.
| 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | |
| The number of bridge and lock tenders in Massachusetts (Bridge And Lock Tenders) | 60 | 70 | 80 | 110 | 170 | 130 | 170 | 50 | 40 | 90 | 70 | 60 |
| Electricity generation in Antarctica (Billion kWh) | 0.002 | 0.002 | 0.002 | 0.002 | 0.004 | 0.004 | 0.004 | 0.0005 | 0.0005 | 0.0005 | 0.001 | 0.001 |
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([60,70,80,110,170,130,170,50,40,90,70,60,])
array_2 = np.array([0.002,0.002,0.002,0.002,0.004,0.004,0.004,0.0005,0.0005,0.0005,0.001,0.001,])
array_1_name = "The number of bridge and lock tenders in Massachusetts"
array_2_name = "Electricity generation in Antarctica"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only The number of bridge and lock tenders in Massachusetts
- Line chart for only Electricity generation in Antarctica
- AI-generated correlation image
- The spurious research paper: Unlocking the Link: Bridge and Lock Tenders' Kink in Electricity Rink
Your rating is pure awesomeness!
Correlation ID: 3477 · Black Variable ID: 17591 · Red Variable ID: 23455
