Spurious correlation #9,484 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of physicists in California and the second variable is Global sales revenue of elevators and escalators. The chart goes from 2006 to 2012, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of physicists in California and the second variable is Global sales revenue of elevators and escalators. The chart goes from 2006 to 2012, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of physicists in California soared, they couldn't resist the urge to conduct elaborate experiments on gravitational forces. This inadvertently led to groundbreaking discoveries in the field of elevator and escalator design, revolutionizing the way these vertical transport systems operated. With their newfound expertise, they began implementing out-of-this-world innovations, propelling the global sales revenue of elevators and escalators to new heights. It seems like these physicists really know how to lift the industry to the next floor!

^{Show image generation prompt} Model: dalle-3
Prompt: [Sci-fi fantasy] Generate an image of a bustling laboratory in California, with physicists gathered around a massive experiment setup. There is an air of excitement as the team carefully adjusts their equipment to measure gravitational forces. Meanwhile, across the globe, show elevators and escalators with sales charts shooting upwards to new heights, signaling an unprecedented surge in revenue. Depict the physicists having a moment of revelation, leading to innovative designs that lift the industry to the next floor. 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 physicists in California and Global sales revenue of elevators and escalators. 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: Symbolism Charcoal Voxel art Cyber folk Sci-fi fantacy
ChatGPT: Sci-fi fantasy

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 physicists in California and Global sales revenue of elevators and escalators, in the following situation: As the number of physicists in California soared, they couldn't resist the urge to conduct elaborate experiments on gravitational forces. This inadvertently led to groundbreaking discoveries in the field of elevator and escalator design, revolutionizing the way these vertical transport systems operated. With their newfound expertise, they began implementing out-of-this-world innovations, propelling the global sales revenue of elevators and escalators to new heights. It seems like these physicists really know how to lift the industry to the next floor!. Keep the description simple.
ChatGPT: In a bustling laboratory in California, a team of physicists gathered around a massive experiment setup. With excitement in the air, they carefully adjusted their equipment to measure gravitational forces. Meanwhile, across the globe, elevator and escalator sales charts shot upwards to new heights, signaling an unprecedented surge in revenue. In a moment of revelation, the physicists' breakthrough discovery led them to implement innovative designs to lift the industry to the next floor.

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: [ Sci-fi fantasy ] and depicting this scene: In a bustling laboratory in California, a team of physicists gathered around a massive experiment setup. With excitement in the air, they carefully adjusted their equipment to measure gravitational forces. Meanwhile, across the globe, elevator and escalator sales charts shot upwards to new heights, signaling an unprecedented surge in revenue. In a moment of revelation, the physicists' breakthrough discovery led them to implement innovative designs to lift the industry to the next floor. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [Sci-fi fantasy] Generate an image of a bustling laboratory in California, with physicists gathered around a massive experiment setup. There is an air of excitement as the team carefully adjusts their equipment to measure gravitational forces. Meanwhile, across the globe, show elevators and escalators with sales charts shooting upwards to new heights, signaling an unprecedented surge in revenue. Depict the physicists having a moment of revelation, leading to innovative designs that lift the industry to the next floor.

*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.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
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 The number of physicists in California caused Global sales revenue of elevators and escalators to increase.

AI academic paper

(Because p < 0.01)

Riding the Wave: The Physics of Elevating Profits in California

Journal of Coastal Business Dynamics

Feb 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between The number of physicists in California and Global sales revenue of elevators and escalators. 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
Riding the Wave: The Physics of Elevating Profits in California

[[ABSTRACT]]
This paper delves into the curious correlation between the number of physicists in California and the global sales revenue of elevators and escalators. With a nod to the laws of gravity, our research team used data from the Bureau of Labor Statistics and Statista to analyze this unexpected connection. The findings revealed a correlation coefficient of 0.9104252 and p < 0.01 for the years 2006 to 2012, demonstrating a remarkably strong link between the two variables. As we delve into this intriguing relationship, we aim to elevate our understanding of the underlying mechanisms and propel the field of economics into a new dimension.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The study of economics often provides surprises, and the correlation between the number of physicists in California and the global sales revenue of elevators and escalators is no exception. While many may be inclined to dismiss such a connection as mere coincidence, our research aims to demonstrate the contrary. As the saying goes, "what goes up must come down," but in the case of our study, what goes up may actually bring profits up as well!
Elevators and escalators operate on principles of physics, with gravitational forces, momentum, and friction playing a significant role in their function. It's no wonder that the presence of physicists in California, a hub for scientific innovation, could influence the sales revenue of these vertical transportation marvels. After all, who better to understand the forces at play in elevators and escalators than those who spend their days analyzing and tinkering with the fundamental laws of the universe?
The puns may be as endless as the possibilities suggested by this correlation. Could it be that the "elevating" presence of physicists is "lifting" the sales of elevators and escalators? Or is it simply an "upward trend" coinciding with the number of physicists present? As we ascend into the complexities of this relationship, our analysis aims to shed light on the underlying mechanisms at work and emphasize the importance of interdisciplinary connections across fields that may initially seem unrelated.
So, with all puns intended, let's ride the wave of curiosity and take the elevator to a higher understanding of this peculiar but potentially lucrative pairing.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Smith et al.," the authors find that the number of physicists in California has a significant positive correlation with the global sales revenue of elevators and escalators. Furthermore, "Doe and Jones" present similar findings, suggesting a strong association between the two variables. These initial studies set the stage for our exploration into the underlying dynamics of this unexpected relationship.

Turning to relevant literature, "The Physics of Elevators" provides a comprehensive overview of the scientific principles governing elevator operations. "The Rise and Fall of Economic Trends" offers insights into the market forces influencing sales revenue, while "California Dreaming: A Cultural History" delves into the unique characteristics of the Californian landscape.

As we aim to unravel the enigma of physicists and elevators, let us not overlook the potential influence of fiction. Works such as "Elevator to the Gallows" and "Escalator to Nowhere" may not provide empirical evidence, but their titles certainly capture the imagination. Concurrently, the board game "Elevator Action" introduces a playful dimension to our investigation, reminding us that the study of economics can be as unpredictable as navigating a multi-level elevator system in a bustling office building.

In summary, while the connection between the number of physicists in California and global sales revenue of elevators and escalators may seem whimsical at first glance, our literature review suggests that there is merit in further exploring this intriguing association. As we delve deeper into the analysis, perhaps we will uncover more surprises than just the unexpected link itself.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between The number of physicists in California and Global sales revenue of elevators and escalators. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Statista . You used data from 2006 to 2012

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]]
Riding the Wave: The Physics of Elevating Profits in California

[[ABSTRACT]]
This paper delves into the curious correlation between the number of physicists in California and the global sales revenue of elevators and escalators. With a nod to the laws of gravity, our research team used data from the Bureau of Labor Statistics and Statista to analyze this unexpected connection. The findings revealed a correlation coefficient of 0.9104252 and p < 0.01 for the years 2006 to 2012, demonstrating a remarkably strong link between the two variables. As we delve into this intriguing relationship, we aim to elevate our understanding of the underlying mechanisms and propel the field of economics into a new dimension.

[[INTRODUCTION]]
The study of economics often provides surprises, and the correlation between the number of physicists in California and the global sales revenue of elevators and escalators is no exception. While many may be inclined to dismiss such a connection as mere coincidence, our research aims to demonstrate the contrary. As the saying goes, "what goes up must come down," but in the case of our study, what goes up may actually bring profits up as well!
Elevators and escalators operate on principles of physics, with gravitational forces, momentum, and friction playing a significant role in their function. It's no wonder that the presence of physicists in California, a hub for scientific innovation, could influence the sales revenue of these vertical transportation marvels. After all, who better to understand the forces at play in elevators and escalators than those who spend their days analyzing and tinkering with the fundamental laws of the universe?
The puns may be as endless as the possibilities suggested by this correlation. Could it be that the "elevating" presence of physicists is "lifting" the sales of elevators and escalators? Or is it simply an "upward trend" coinciding with the number of physicists present? As we ascend into the complexities of this relationship, our analysis aims to shed light on the underlying mechanisms at work and emphasize the importance of interdisciplinary connections across fields that may initially seem unrelated.
So, with all puns intended, let's ride the wave of curiosity and take the elevator to a higher understanding of this peculiar but potentially lucrative pairing.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data for this study was gathered from a variety of sources, including the Bureau of Labor Statistics, Statista, and the world wide "inter-web" - a virtual network where the strands of data are woven together like a spider's web. We selected the years 2006 to 2012 for our analysis, as they represented an elevator pitch of time that encapsulated the fluctuations in the number of physicists in California and the global sales revenue of elevators and escalators.

To capture the number of physicists in California, we scoured the Bureau of Labor Statistics' occupational employment statistics, keeping a keen eye out for any quantum leaps in the data. Meanwhile, the global sales revenue of elevators and escalators was cunningly extracted from the recesses of Statista, like a hidden treasure waiting to be unearthed by intrepid researchers.

Variable Selection:
Our choice of variables was as meticulous as a physicist fine-tuning a delicate experiment. We opted for the number of physicists in California as our independent variable, symbolizing the brains behind the brawn of our investigation. Meanwhile, the global sales revenue of elevators and escalators served as our dependent variable, climbing or descending in response to the gravitational pull of the physicist population.

Data Analysis:
The data analysis process was as precise as determining the weight of an elevator full of physicists. We employed a series of statistical methods, including correlation analysis, to unravel the bond between the number of physicists in California and the global sales revenue of elevators and escalators. Our calculations were as rigorous as an elevator inspection, ensuring that the results reached heights of statistical significance.

Correlation Coefficient:
Once the data had been crunched, we arrived at a correlation coefficient of 0.9104252, resembling a firm handshake between the physicist population and elevator revenue. With a p-value of less than 0.01, our findings defied statistical gravity, pointing to a robust and significant relationship between the variables.

Model Validation:
To validate our findings, we conducted various sensitivity analyses and model diagnostics, ensuring that our results were as sturdy as an escalator in peak rush hour. As the laws of statistics dictate, we cross-validated our model to guard against any potential lurking confounding variables that might have sought to ride along on our elevator of discovery.

Limitations:
Despite our efforts to exhaustively scour the data universe, our study is not without its limitations. The nature of observational data introduces the specter of lurking variables, much like phantom elevator passengers whose presence may influence our observations. Furthermore, the temporal scope of our analysis may not capture the full extent of the dynamic relationship between physicists and elevator revenue, leaving the door ajar for future researchers to ascend to even greater heights of understanding.

In summary, our methodology was as crisp and rigorous as an elevator's ascent to the top floor, aiming to hoist our understanding of the interplay between physicists and the economic dynamics of vertical transportation.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between The number of physicists in California and Global sales revenue of elevators and escalators. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Statista .

For the time period 2006 to 2012, you found a correlation 0.9104252, r-squared of 0.8288740, 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]]
Riding the Wave: The Physics of Elevating Profits in California

[[ABSTRACT]]
This paper delves into the curious correlation between the number of physicists in California and the global sales revenue of elevators and escalators. With a nod to the laws of gravity, our research team used data from the Bureau of Labor Statistics and Statista to analyze this unexpected connection. The findings revealed a correlation coefficient of 0.9104252 and p < 0.01 for the years 2006 to 2012, demonstrating a remarkably strong link between the two variables. As we delve into this intriguing relationship, we aim to elevate our understanding of the underlying mechanisms and propel the field of economics into a new dimension.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The study of economics often provides surprises, and the correlation between the number of physicists in California and the global sales revenue of elevators and escalators is no exception. While many may be inclined to dismiss such a connection as mere coincidence, our research aims to demonstrate the contrary. As the saying goes, "what goes up must come down," but in the case of our study, what goes up may actually bring profits up as well!
Elevators and escalators operate on principles of physics, with gravitational forces, momentum, and friction playing a significant role in their function. It's no wonder that the presence of physicists in California, a hub for scientific innovation, could influence the sales revenue of these vertical transportation marvels. After all, who better to understand the forces at play in elevators and escalators than those who spend their days analyzing and tinkering with the fundamental laws of the universe?
The puns may be as endless as the possibilities suggested by this correlation. Could it be that the "elevating" presence of physicists is "lifting" the sales of elevators and escalators? Or is it simply an "upward trend" coinciding with the number of physicists present? As we ascend into the complexities of this relationship, our analysis aims to shed light on the underlying mechanisms at work and emphasize the importance of interdisciplinary connections across fields that may initially seem unrelated.
So, with all puns intended, let's ride the wave of curiosity and take the elevator to a higher understanding of this peculiar but potentially lucrative pairing.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of the analysis revealed a strikingly strong correlation between the number of physicists in California and the global sales revenue of elevators and escalators during the period from 2006 to 2012. The correlation coefficient of 0.9104252 indicates a remarkably robust relationship between these seemingly unrelated variables, suggesting that there may indeed be more to this connection than meets the eye. It's as if the economic and physical forces were in perfect harmony, like a well-calibrated elevator ascending smoothly to its destination floor.

Furthermore, the r-squared value of 0.8288740 illustrates that approximately 83% of the variation in global sales revenue of elevators and escalators can be explained by the number of physicists in California. This finding underscores the substantial influence that the physics community in the Golden State appears to exert on the performance of the vertical transportation industry. One might say that their impact is not just elevating the field of physics, but lifting the profits of elevator and escalator manufacturers as well.

The p-value of less than 0.01 provides strong evidence against the null hypothesis, indicating that the observed correlation is unlikely to have occurred by chance. While some might find it difficult to grasp the idea of physicists influencing sales in the elevator and escalator market, our findings suggest that this connection is not merely a "random walk" in the realm of economic data. It seems that the physicists are indeed "going up," and they are taking the sales figures with them.

The scatterplot (Fig. 1) visually represents the compelling relationship between the number of physicists in California and global sales revenue of elevators and escalators. The plot illustrates a clear pattern of increasing sales revenue as the number of physicists rises, resembling a graph that is "going up" on an upward trajectory. It's evident that these two variables are not simply "escalating" together by chance; there appears to be a tangible relationship at play, as if the laws of physics and the laws of economics are operating in tandem to elevate the industry's profitability.

In summary, the results of this analysis provide substantial evidence to support the intriguing connection between the number of physicists in California and the global sales revenue of elevators and escalators. While some may have assumed these variables to be as unrelated as fish and bicycles, our study demonstrates that they are, in fact, linked in a manner that defies traditional economic expectations. This unexpected correlation invites further examination of the intricate interplay between diverse fields, offering an elevated perspective on the inner workings of economic systems.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between The number of physicists in California and Global sales revenue of elevators and escalators. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
Riding the Wave: The Physics of Elevating Profits in California

[[ABSTRACT]]
This paper delves into the curious correlation between the number of physicists in California and the global sales revenue of elevators and escalators. With a nod to the laws of gravity, our research team used data from the Bureau of Labor Statistics and Statista to analyze this unexpected connection. The findings revealed a correlation coefficient of 0.9104252 and p < 0.01 for the years 2006 to 2012, demonstrating a remarkably strong link between the two variables. As we delve into this intriguing relationship, we aim to elevate our understanding of the underlying mechanisms and propel the field of economics into a new dimension.

[[LITERATURE REVIEW]]
In "Smith et al.," the authors find that the number of physicists in California has a significant positive correlation with the global sales revenue of elevators and escalators. Furthermore, "Doe and Jones" present similar findings, suggesting a strong association between the two variables. These initial studies set the stage for our exploration into the underlying dynamics of this unexpected relationship.
Turning to relevant literature, "The Physics of Elevators" provides a comprehensive overview of the scientific principles governing elevator operations. "The Rise and Fall of Economic Trends" offers insights into the market forces influencing sales revenue, while "California Dreaming: A Cultural History" delves into the unique characteristics of the Californian landscape.
As we aim to unravel the enigma of physicists and elevators, let us not overlook the potential influence of fiction. Works such as "Elevator to the Gallows" and "Escalator to Nowhere" may not provide empirical evidence, but their titles certainly capture the imagination. Concurrently, the board game "Elevator Action" introduces a playful dimension to our investigation, reminding us that the study of economics can be as unpredictable as navigating a multi-level elevator system in a bustling office building.
In summary, while the connection between the number of physicists in California and global sales revenue of elevators and escalators may seem whimsical at first glance, our literature review suggests that there is merit in further exploring this intriguing association. As we delve deeper into the analysis, perhaps we will uncover more surprises than just the unexpected link itself.

[[RESULTS]]
The results of the analysis revealed a strikingly strong correlation between the number of physicists in California and the global sales revenue of elevators and escalators during the period from 2006 to 2012. The correlation coefficient of 0.9104252 indicates a remarkably robust relationship between these seemingly unrelated variables, suggesting that there may indeed be more to this connection than meets the eye. It's as if the economic and physical forces were in perfect harmony, like a well-calibrated elevator ascending smoothly to its destination floor.
Furthermore, the r-squared value of 0.8288740 illustrates that approximately 83% of the variation in global sales revenue of elevators and escalators can be explained by the number of physicists in California. This finding underscores the substantial influence that the physics community in the Golden State appears to exert on the performance of the vertical transportation industry. One might say that their impact is not just elevating the field of physics, but lifting the profits of elevator and escalator manufacturers as well.
The p-value of less than 0.01 provides strong evidence against the null hypothesis, indicating that the observed correlation is unlikely to have occurred by chance. While some might find it difficult to grasp the idea of physicists influencing sales in the elevator and escalator market, our findings suggest that this connection is not merely a "random walk" in the realm of economic data. It seems that the physicists are indeed "going up," and they are taking the sales figures with them.
The scatterplot (Fig. 1) visually represents the compelling relationship between the number of physicists in California and global sales revenue of elevators and escalators. The plot illustrates a clear pattern of increasing sales revenue as the number of physicists rises, resembling a graph that is "going up" on an upward trajectory. It's evident that these two variables are not simply "escalating" together by chance; there appears to be a tangible relationship at play, as if the laws of physics and the laws of economics are operating in tandem to elevate the industry's profitability.
In summary, the results of this analysis provide substantial evidence to support the intriguing connection between the number of physicists in California and the global sales revenue of elevators and escalators. While some may have assumed these variables to be as unrelated as fish and bicycles, our study demonstrates that they are, in fact, linked in a manner that defies traditional economic expectations. This unexpected correlation invites further examination of the intricate interplay between diverse fields, offering an elevated perspective on the inner workings of economic systems.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study confirm and extend the prior research findings, suggesting a remarkably robust association between the number of physicists in California and the global sales revenue of elevators and escalators. The correlation coefficient of 0.9104252 observed in our analysis aligns with the conclusions of previous studies, highlighting a strong and consistent connection between these seemingly disparate variables. It seems that when it comes to the dynamics of elevating profits, the gravitational pull of physicists in California cannot be overlooked.

Our analysis not only supports the prior literature, but it also provides new insights into the mechanisms underlying this unexpected relationship. The substantial r-squared value of 0.8288740 indicates that a large proportion of the variation in global sales revenue of elevators and escalators can be explained by the number of physicists in California. This finding echoes the earlier work by Smith et al. and Doe and Jones, reaffirming the influential role of physicists in shaping the trajectory of the vertical transportation industry. It appears that the influence of physicists is not just a "theory in motion" but a tangible force driving the economic performance of the elevator and escalator market.

As we consider the implications of our findings, it becomes evident that the connection between physicists and elevator sales is not merely a "fanciful leap" in economic analysis. The p-value of less than 0.01 provides compelling evidence against the null hypothesis, dispelling any doubts about the statistical significance of this correlation. It seems that the physicists are not just "riding the wave"; they are generating a wave of economic impact that elevates the sales figures to new heights.

The scatterplot depicting the relationship between the number of physicists in California and global sales revenue of elevators and escalators visually encapsulates the striking correlation uncovered in our analysis. The upward trajectory of sales revenue as the number of physicists increases is akin to a graph that is "raising the bar" for our understanding of economic influencers. It's as if the physicists are not just "taking steps" towards progress, but they are propelling the elevator and escalator industry to ascend to unprecedented levels of profitability.

In conclusion, our study provides empirical support for the intriguing connection between the number of physicists in California and the global sales revenue of elevators and escalators. This correlation, while initially met with skepticism, has now been demonstrated with compelling evidence, offering an unconventional yet enlightening perspective on the interplay between physics and economics. As we contemplate the implications of these findings, it becomes clear that the elevator to economic insight may indeed be found in the physics of elevators themselves.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The number of physicists in California and Global sales revenue of elevators and escalators. Make lots of jokes, goofy observations, and puns.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Riding the Wave: The Physics of Elevating Profits in California

[[ABSTRACT]]
This paper delves into the curious correlation between the number of physicists in California and the global sales revenue of elevators and escalators. With a nod to the laws of gravity, our research team used data from the Bureau of Labor Statistics and Statista to analyze this unexpected connection. The findings revealed a correlation coefficient of 0.9104252 and p < 0.01 for the years 2006 to 2012, demonstrating a remarkably strong link between the two variables. As we delve into this intriguing relationship, we aim to elevate our understanding of the underlying mechanisms and propel the field of economics into a new dimension.

[[INTRDUCTION]]
The study of economics often provides surprises, and the correlation between the number of physicists in California and the global sales revenue of elevators and escalators is no exception. While many may be inclined to dismiss such a connection as mere coincidence, our research aims to demonstrate the contrary. As the saying goes, "what goes up must come down," but in the case of our study, what goes up may actually bring profits up as well!
Elevators and escalators operate on principles of physics, with gravitational forces, momentum, and friction playing a significant role in their function. It's no wonder that the presence of physicists in California, a hub for scientific innovation, could influence the sales revenue of these vertical transportation marvels. After all, who better to understand the forces at play in elevators and escalators than those who spend their days analyzing and tinkering with the fundamental laws of the universe?
The puns may be as endless as the possibilities suggested by this correlation. Could it be that the "elevating" presence of physicists is "lifting" the sales of elevators and escalators? Or is it simply an "upward trend" coinciding with the number of physicists present? As we ascend into the complexities of this relationship, our analysis aims to shed light on the underlying mechanisms at work and emphasize the importance of interdisciplinary connections across fields that may initially seem unrelated.
So, with all puns intended, let's ride the wave of curiosity and take the elevator to a higher understanding of this peculiar but potentially lucrative pairing.

[[RESULTS]]
The results of the analysis revealed a strikingly strong correlation between the number of physicists in California and the global sales revenue of elevators and escalators during the period from 2006 to 2012. The correlation coefficient of 0.9104252 indicates a remarkably robust relationship between these seemingly unrelated variables, suggesting that there may indeed be more to this connection than meets the eye. It's as if the economic and physical forces were in perfect harmony, like a well-calibrated elevator ascending smoothly to its destination floor.
Furthermore, the r-squared value of 0.8288740 illustrates that approximately 83% of the variation in global sales revenue of elevators and escalators can be explained by the number of physicists in California. This finding underscores the substantial influence that the physics community in the Golden State appears to exert on the performance of the vertical transportation industry. One might say that their impact is not just elevating the field of physics, but lifting the profits of elevator and escalator manufacturers as well.
The p-value of less than 0.01 provides strong evidence against the null hypothesis, indicating that the observed correlation is unlikely to have occurred by chance. While some might find it difficult to grasp the idea of physicists influencing sales in the elevator and escalator market, our findings suggest that this connection is not merely a "random walk" in the realm of economic data. It seems that the physicists are indeed "going up," and they are taking the sales figures with them.
The scatterplot (Fig. 1) visually represents the compelling relationship between the number of physicists in California and global sales revenue of elevators and escalators. The plot illustrates a clear pattern of increasing sales revenue as the number of physicists rises, resembling a graph that is "going up" on an upward trajectory. It's evident that these two variables are not simply "escalating" together by chance; there appears to be a tangible relationship at play, as if the laws of physics and the laws of economics are operating in tandem to elevate the industry's profitability.
In summary, the results of this analysis provide substantial evidence to support the intriguing connection between the number of physicists in California and the global sales revenue of elevators and escalators. While some may have assumed these variables to be as unrelated as fish and bicycles, our study demonstrates that they are, in fact, linked in a manner that defies traditional economic expectations. This unexpected correlation invites further examination of the intricate interplay between diverse fields, offering an elevated perspective on the inner workings of economic systems.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has illuminated a surprisingly robust correlation between the number of physicists in California and the global sales revenue of elevators and escalators. It seems that the physics community in the Golden State is not merely conducting experiments; they are also conducting the profits of the vertical transportation industry. The relationship between these variables is as strong as the cables lifting an elevator, defying gravity and conventional economic wisdom. It appears that the physicists are not just "going up" in their research; they are also propelling the sales figures skyward, creating an economic lift-off that mirrors their quest for celestial understanding.

The truly "elevating" nature of this connection may indeed be reminiscent of that thrilling sensation experienced in a fast-rising elevator. As we rise to the top floor of this analysis, it becomes clear that this unexpected correlation is not just a "fluke of nature" but a tangible phenomenon with tangible implications for our understanding of economic dynamics. Though it may seem like a "down-to-earth" matter, the influence of physicists on elevator and escalator sales is reaching new heights, defying the notion that economic outcomes are completely predictable.

In light of these findings, it seems that the relationship between the number of physicists in California and the global sales revenue of elevators and escalators is no mere "upward trend." It is a true partnership, akin to the harmonious synergy between the counterweights and pulleys of a well-engineered elevator system. We may be witnessing a case where economic and physical forces align to elevate the industry's profitability, reminding us that the laws of physics and the laws of economics are not as different as "apples and oranges."

Given the strength of the correlation and the clear implications for industry performance, it is evident that our understanding of economic systems can benefit from examining unconventional connections between seemingly disparate fields. Therefore, we assert that, with the results of this study, no further research is needed in this area. The elevator of knowledge has reached the top floor, and it's time to step out with confidence in our understanding of the interplay between physics and profits.

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 Riding the Wave: The Physics of Elevating Profits in California. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Coastal Business Dynamics

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 Riding the Wave: The Physics of Elevating Profits in California. Respond only with the name of a fictional organization.

ChatGPT:

National Institute of Economic and Financial Innovation (NIEFI)

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 Riding the Wave: The Physics of Elevating Profits in California with an abstract of This paper delves into the curious correlation between the number of physicists in California and the global sales revenue of elevators and escalators. With a nod to the laws of gravity, our research team used data from the Bureau of Labor Statistics and Statista to analyze this unexpected connection. The findings revealed a correlation coefficient of 0.9104252 and p < 0.01 for the years 2006 to 2012, demonstrating a remarkably strong link between the two variables. As we delve into this intriguing relationship, we aim to elevate our understanding of the underlying mechanisms and propel the field of economics into a new dimension.

ChatGPT:

"physics of elevating profits in California," "physicists in California and global sales revenue of elevators and escalators," "correlation coefficient between physicists and elevator sales," "Bureau of Labor Statistics elevator sales data," "Statista physics and economics research," "underlying mechanisms of physicist-elevator sales correlation," "elevator sales revenue in California," "impact of physics on economics," "economic implications of physicist population in California"

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.

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Data details

The number of physicists in California
Detailed data title: BLS estimate of physicists in California
Source: Bureau of Larbor Statistics
See what else correlates with The number of physicists in California

Global sales revenue of elevators and escalators
Source: Statista
See what else correlates with Global sales revenue of elevators and escalators

Correlation r = 0.9104252 (Pearson correlation coefficient)
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 = 0.8288740 (Coefficient of determination)
This means 82.9% of the change in the one variable (i.e., Global sales revenue of elevators and escalators) is predictable based on the change in the other (i.e., The number of physicists in California) over the 7 years from 2006 through 2012.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0044.^Show 0.0043929239514134980000000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note 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 0.91 in 0.44% of random cases. Said differently, if you correlated 228 random variables^Note Which I absolutely did.
with the same 6 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 6 because we have two variables measured over a period of 7 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.

[ 0.5, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} 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: ^Note 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	2007	2008	2009	2010	2011	2012
The number of physicists in California (Physicists)	1800	1700	2010	1880	2890	3030	3730
Global sales revenue of elevators and escalators (US Dollars)	4763400000	5395700000	6088850000	6275360000	6596800000	6911630000	8303220000

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^Note 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^Note 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. ^{Show the steps to do this.} 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([1800,1700,2010,1880,2890,3030,3730,])
array_2 = np.array([4763400000,5395700000,6088850000,6275360000,6596800000,6911630000,8303220000,])
array_1_name = "The number of physicists in California"
array_2_name = "Global sales revenue of elevators and escalators"

# 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. ^Note 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.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note 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
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Line chart for only The number of physicists in California
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AI-generated correlation image
The spurious research paper: Riding the Wave: The Physics of Elevating Profits in California

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Correlation ID: 9484 · Black Variable ID: 5367 · Red Variable ID: 452


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