about · email me · subscribe
Spurious correlation #1,787 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is UFO sightings in Connecticut and the second variable is Liquefied petroleum gas used in Thailand.  The chart goes from 1980 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

The UFOs were actually powered by LPG from Thailand, but due to a mix-up in their advanced technology, they inadvertently created a tractor beam effect, drawing LPG molecules towards them as they flew over Connecticut, thereby increasing the supply in Thailand. Remember, it's not just humans who are gassy in this universe!

Model: dalle-3
Prompt: Generate an image with the surrealist style of a TIME magazine cover image. On the left side of the image, depict a rural area in Connecticut with a group of people gazing up in awe as a brightly glowing UFO hovers in the night sky. On the right side, portray a bustling city in Thailand where a street food vendor expertly maneuvers a flaming wok fueled by liquefied petroleum gas, creating sizzling aromas that fill the air. The scene should be visually captivating, with a seamless blend of rural and urban settings to create an otherworldly feel. 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: UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand. 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: An image that looks like it is a scene from 'Star Wars' Pop art Low poly inspired by bauhaus A TIME magazine cover image
ChatGPT: A TIME magazine cover image

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 UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand together. Keep the description simple.
ChatGPT: In a rural area of Connecticut, a group of people gaze up in amazement as a UFO hovers in the night sky. Meanwhile, in a bustling city in Thailand, a street food vendor expertly wields a flaming wok fueled by liquefied petroleum gas, sending sizzling aromas into the air.

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: [ A TIME magazine cover image ] and depicting this scene: In a rural area of Connecticut, a group of people gaze up in amazement as a UFO hovers in the night sky. Meanwhile, in a bustling city in Thailand, a street food vendor expertly wields a flaming wok fueled by liquefied petroleum gas, sending sizzling aromas into the air. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image with the surrealist style of a TIME magazine cover image. On the left side of the image, depict a rural area in Connecticut with a group of people gazing up in awe as a brightly glowing UFO hovers in the night sky. On the right side, portray a bustling city in Thailand where a street food vendor expertly maneuvers a flaming wok fueled by liquefied petroleum gas, creating sizzling aromas that fill the air. The scene should be visually captivating, with a seamless blend of rural and urban settings to create an otherworldly feel.

*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.

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 UFO sightings in Connecticut caused Liquefied petroleum gas used in Thailand to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)
Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand

Journal of Extraterrestrial Studies and Petroleum Geopolitics

Jan 2024

Reminder: This paper is AI-generated. Not real!
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 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 UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title an alliteration.

Your research team used data from National UFO Reporting Center and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9365583 and p < 0.01 for 1980 to 2021.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand

[[ABSTRACT]]
This research endeavors to investigate the potential connection between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand. Utilizing data from the National UFO Reporting Center and the Energy Information Administration, an empirical analysis was conducted over the period of 1980 to 2021. The results yielded a notable correlation coefficient of 0.9365583 with a statistically significant p-value of less than 0.01, suggesting a strong association between these seemingly disparate phenomena. While the astute reader may raise an eyebrow at such an unexpected correlation, our findings present a compelling case for further exploration of the cosmic forces that may be influencing earthly energy consumption patterns. The implications of these results may extend beyond the realm of conventional understanding, inviting a broader dialogue on the interconnectedness of celestial occurrences and terrestrial activities.


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 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 UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand

[[ABSTRACT]]
This research endeavors to investigate the potential connection between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand. Utilizing data from the National UFO Reporting Center and the Energy Information Administration, an empirical analysis was conducted over the period of 1980 to 2021. The results yielded a notable correlation coefficient of 0.9365583 with a statistically significant p-value of less than 0.01, suggesting a strong association between these seemingly disparate phenomena. While the astute reader may raise an eyebrow at such an unexpected correlation, our findings present a compelling case for further exploration of the cosmic forces that may be influencing earthly energy consumption patterns. The implications of these results may extend beyond the realm of conventional understanding, inviting a broader dialogue on the interconnectedness of celestial occurrences and terrestrial activities.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intertwining of celestial sightings and earthly energy consumption has long fascinated researchers and casual stargazers alike. While anecdotal evidence of UFO sightings has often been dismissed as the stuff of science fiction, rigorous empirical analysis may shed light on the potential connection to earthly phenomena. Similarly, the global consumption of Liquefied Petroleum Gas (LPG) has been the subject of numerous studies, but a link to extraterrestrial activity has not been a commonly explored avenue.

The current study aims to bridge these seemingly unrelated topics by investigating the potential relationship between UFO sightings in Connecticut and the consumption of LPG in Thailand. This cross-continental inquiry ventures beyond conventional research boundaries, laying the groundwork for a novel exploration of cosmic intrigue and terrestrial energy patterns. The unexpected connection between these disparate variables invites a reconsideration of the forces at play in our interconnected world.

As we delve into this enigmatic correlation, it is important to approach the analysis with a keen eye for methodological rigor and a touch of curiosity about the uncharted territories of statistical inquiry. The juxtaposition of UFO sightings and LPG consumption may elicit a quizzical glance from even the most seasoned researchers, but it is precisely this unexpected juxtaposition that prompts a reevaluation of our understanding of causal relationships and statistical anomalies.

Indeed, the statistical findings of this study, while thought-provoking, beckon the scientific community to embrace a touch of whimsy and wonder as we unravel the mysteries that lie at the intersection of cosmic phenomena and earthly energy consumption. As we journey through the annals of empirical investigation, let us not forget to look up at the stars – perhaps there, among the constellations, lies the key to unlocking the enigma of UFO sightings and LPG consumption.

In the next section, we embark on a methodical exposition of the data sources, empirical analysis, and findings that underpin this unconventional but captivating exploration of celestial and earthly interactions.


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 UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand

[[ABSTRACT]]
This research endeavors to investigate the potential connection between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand. Utilizing data from the National UFO Reporting Center and the Energy Information Administration, an empirical analysis was conducted over the period of 1980 to 2021. The results yielded a notable correlation coefficient of 0.9365583 with a statistically significant p-value of less than 0.01, suggesting a strong association between these seemingly disparate phenomena. While the astute reader may raise an eyebrow at such an unexpected correlation, our findings present a compelling case for further exploration of the cosmic forces that may be influencing earthly energy consumption patterns. The implications of these results may extend beyond the realm of conventional understanding, inviting a broader dialogue on the interconnectedness of celestial occurrences and terrestrial activities.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intertwining of celestial sightings and earthly energy consumption has long fascinated researchers and casual stargazers alike. While anecdotal evidence of UFO sightings has often been dismissed as the stuff of science fiction, rigorous empirical analysis may shed light on the potential connection to earthly phenomena. Similarly, the global consumption of Liquefied Petroleum Gas (LPG) has been the subject of numerous studies, but a link to extraterrestrial activity has not been a commonly explored avenue.
The current study aims to bridge these seemingly unrelated topics by investigating the potential relationship between UFO sightings in Connecticut and the consumption of LPG in Thailand. This cross-continental inquiry ventures beyond conventional research boundaries, laying the groundwork for a novel exploration of cosmic intrigue and terrestrial energy patterns. The unexpected connection between these disparate variables invites a reconsideration of the forces at play in our interconnected world.
As we delve into this enigmatic correlation, it is important to approach the analysis with a keen eye for methodological rigor and a touch of curiosity about the uncharted territories of statistical inquiry. The juxtaposition of UFO sightings and LPG consumption may elicit a quizzical glance from even the most seasoned researchers, but it is precisely this unexpected juxtaposition that prompts a reevaluation of our understanding of causal relationships and statistical anomalies.
Indeed, the statistical findings of this study, while thought-provoking, beckon the scientific community to embrace a touch of whimsy and wonder as we unravel the mysteries that lie at the intersection of cosmic phenomena and earthly energy consumption. As we journey through the annals of empirical investigation, let us not forget to look up at the stars – perhaps there, among the constellations, lies the key to unlocking the enigma of UFO sightings and LPG consumption.
In the next section, we embark on a methodical exposition of the data sources, empirical analysis, and findings that underpin this unconventional but captivating exploration of celestial and earthly interactions.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The interplay between celestial phenomena and terrestrial activities has captivated the scientific community for decades. This section presents an exploration of the existing literature that delineates the potential connection between UFO sightings in Connecticut and Liquefied Petroleum Gas (LPG) consumption in Thailand.

Smith et al. (2005) examined the cultural significance of UFO sightings and their impact on local communities, shedding light on the psychological implications of extraterrestrial encounters. In a similar vein, Doe and Jones (2010) investigated the patterns of energy consumption in Southeast Asia, offering insights into the regional variations in LPG usage.

Moving beyond the conventional academic corpus, "The X-Files: Earthly Energies Exposed" delves into the speculative realm of alien interactions with earthly energy sources, offering a fictional but thought-provoking narrative. Moreover, "Close Encounters of the Cooking Kind" by Spielberg et al. (1977) presents a whimsical exploration of interstellar beings' gastronomic preferences and their potential influence on LPG usage patterns.

In a departure from traditional scholarly sources, the researchers engaged with popular culture, including episodes of "Scooby-Doo" and "The Jetsons," to glean insights into the portrayal of extraterrestrial encounters and futuristic energy consumption dynamics. While not academically rigorous, these sources provided a lighthearted backdrop for the investigation of unconventional correlations.

The juxtaposition of these disparate sources lays the foundation for a comprehensive understanding of the multidimensional forces at play in the correlation between UFO sightings in Connecticut and LPG consumption in Thailand. This eclectic mix of academic, fictional, and popular culture sources sets the stage for a nuanced examination of the potential cosmic influences on earthly energy patterns.

The authors find themselves grappling with the unexpected twists and turns that emerge from this unconventional synthesis of literature, simultaneously underscored by the gravity of the research question and punctuated by moments of levity inherent in the investigation of celestial and terrestrial phenomena.


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 UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from National UFO Reporting Center and Energy Information Administration . You used data from 1980 to 2021

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand

[[ABSTRACT]]
This research endeavors to investigate the potential connection between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand. Utilizing data from the National UFO Reporting Center and the Energy Information Administration, an empirical analysis was conducted over the period of 1980 to 2021. The results yielded a notable correlation coefficient of 0.9365583 with a statistically significant p-value of less than 0.01, suggesting a strong association between these seemingly disparate phenomena. While the astute reader may raise an eyebrow at such an unexpected correlation, our findings present a compelling case for further exploration of the cosmic forces that may be influencing earthly energy consumption patterns. The implications of these results may extend beyond the realm of conventional understanding, inviting a broader dialogue on the interconnectedness of celestial occurrences and terrestrial activities.

[[INTRODUCTION]]
The intertwining of celestial sightings and earthly energy consumption has long fascinated researchers and casual stargazers alike. While anecdotal evidence of UFO sightings has often been dismissed as the stuff of science fiction, rigorous empirical analysis may shed light on the potential connection to earthly phenomena. Similarly, the global consumption of Liquefied Petroleum Gas (LPG) has been the subject of numerous studies, but a link to extraterrestrial activity has not been a commonly explored avenue.
The current study aims to bridge these seemingly unrelated topics by investigating the potential relationship between UFO sightings in Connecticut and the consumption of LPG in Thailand. This cross-continental inquiry ventures beyond conventional research boundaries, laying the groundwork for a novel exploration of cosmic intrigue and terrestrial energy patterns. The unexpected connection between these disparate variables invites a reconsideration of the forces at play in our interconnected world.
As we delve into this enigmatic correlation, it is important to approach the analysis with a keen eye for methodological rigor and a touch of curiosity about the uncharted territories of statistical inquiry. The juxtaposition of UFO sightings and LPG consumption may elicit a quizzical glance from even the most seasoned researchers, but it is precisely this unexpected juxtaposition that prompts a reevaluation of our understanding of causal relationships and statistical anomalies.
Indeed, the statistical findings of this study, while thought-provoking, beckon the scientific community to embrace a touch of whimsy and wonder as we unravel the mysteries that lie at the intersection of cosmic phenomena and earthly energy consumption. As we journey through the annals of empirical investigation, let us not forget to look up at the stars – perhaps there, among the constellations, lies the key to unlocking the enigma of UFO sightings and LPG consumption.
In the next section, we embark on a methodical exposition of the data sources, empirical analysis, and findings that underpin this unconventional but captivating exploration of celestial and earthly interactions.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data utilized for this peculiar investigation were sourced from the National UFO Reporting Center and the Energy Information Administration. The National UFO Reporting Center provided comprehensive records of reported UFO sightings in Connecticut, capturing the enigmatic and ethereal more than 40 years of extraterrestrial encounters. Meanwhile, the Energy Information Administration yielded a trove of data on Liquefied Petroleum Gas (LPG) consumption in Thailand from the year 1980 to 2021. The combination of these seemingly incongruous datasets set the stage for an exploratory analysis of cosmic and earthly phenomena.

Empirical Analysis:
To navigate the ethereal terrain of UFO sightings and the tangible realm of LPG consumption, a multifaceted empirical approach was employed. First, the temporal patterns of UFO sightings in Connecticut were meticulously scrutinized for any celestial synchronicities. Next, the consumption patterns of LPG in Thailand were subjected to rigorous statistical scrutiny, unraveling the terrestrial ebbs and flows of energy utilization. Finally, a nuanced statistical analysis, including correlation coefficients and p-values, was executed to discern the potential interplay between these disparate variables.

Thorough Statistical Examination:
In conducting this unorthodox investigation, the research team engaged in a thorough statistical examination, employing a variety of analytical tools and tests. The correlation coefficient, often hailed as the compass of statistical associations, guided the exploration of the relationship between UFO sightings in Connecticut and LPG consumption in Thailand. Complemented by a statistically significant p-value, this analytical compass pointed towards an unexpected, but compelling, association between these ostensibly unrelated variables.

An Unconventional Analytical Lens:
While conventional statistical methodologies formed the backbone of this investigation, the research team approached the analysis with a dash of unconventionalism and a sprinkle of cosmic curiosity. The unexpected juxtaposition of UFO sightings and LPG consumption beckoned a reevaluation of standard statistical procedures, inviting a broader consideration of the interplay between celestial occurrences and terrestrial activities.

In scrutinizing the intertwining of UFO sightings and LPG consumption, the research team shone a statistical spotlight on this hitherto unexplored intersection. The empirical journey encountered its fair share of statistical anomalies and cosmic conundrums, each beckoning the researchers to harness a blend of methodological rigor and celestial intrigue in pursuit of a deeper understanding of the interconnectedness between cosmic phenomena and earthly energy consumption.


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 UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from National UFO Reporting Center and Energy Information Administration .

For the time period 1980 to 2021, you found a correlation 0.9365583, r-squared of 0.8771414, 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]]
Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand

[[ABSTRACT]]
This research endeavors to investigate the potential connection between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand. Utilizing data from the National UFO Reporting Center and the Energy Information Administration, an empirical analysis was conducted over the period of 1980 to 2021. The results yielded a notable correlation coefficient of 0.9365583 with a statistically significant p-value of less than 0.01, suggesting a strong association between these seemingly disparate phenomena. While the astute reader may raise an eyebrow at such an unexpected correlation, our findings present a compelling case for further exploration of the cosmic forces that may be influencing earthly energy consumption patterns. The implications of these results may extend beyond the realm of conventional understanding, inviting a broader dialogue on the interconnectedness of celestial occurrences and terrestrial activities.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intertwining of celestial sightings and earthly energy consumption has long fascinated researchers and casual stargazers alike. While anecdotal evidence of UFO sightings has often been dismissed as the stuff of science fiction, rigorous empirical analysis may shed light on the potential connection to earthly phenomena. Similarly, the global consumption of Liquefied Petroleum Gas (LPG) has been the subject of numerous studies, but a link to extraterrestrial activity has not been a commonly explored avenue.
The current study aims to bridge these seemingly unrelated topics by investigating the potential relationship between UFO sightings in Connecticut and the consumption of LPG in Thailand. This cross-continental inquiry ventures beyond conventional research boundaries, laying the groundwork for a novel exploration of cosmic intrigue and terrestrial energy patterns. The unexpected connection between these disparate variables invites a reconsideration of the forces at play in our interconnected world.
As we delve into this enigmatic correlation, it is important to approach the analysis with a keen eye for methodological rigor and a touch of curiosity about the uncharted territories of statistical inquiry. The juxtaposition of UFO sightings and LPG consumption may elicit a quizzical glance from even the most seasoned researchers, but it is precisely this unexpected juxtaposition that prompts a reevaluation of our understanding of causal relationships and statistical anomalies.
Indeed, the statistical findings of this study, while thought-provoking, beckon the scientific community to embrace a touch of whimsy and wonder as we unravel the mysteries that lie at the intersection of cosmic phenomena and earthly energy consumption. As we journey through the annals of empirical investigation, let us not forget to look up at the stars – perhaps there, among the constellations, lies the key to unlocking the enigma of UFO sightings and LPG consumption.
In the next section, we embark on a methodical exposition of the data sources, empirical analysis, and findings that underpin this unconventional but captivating exploration of celestial and earthly interactions.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The empirical analysis of the potential relationship between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand unveiled a striking correlation coefficient of 0.9365583 over the period of 1980 to 2021. This strong correlation, coupled with an r-squared value of 0.8771414 and a p-value of less than 0.01, suggests a robust association between these seemingly incongruent variables. The statistical significance of these findings serves as a testament to the unexpected connections that can emerge from diligent inquiry.

Figure 1 depicts the scatterplot illustrating the pronounced correlation between UFO sightings in Connecticut and LPG consumption in Thailand. While the scatterplot remains stoically silent on the cosmic forces at play, it unquestionably portrays the coherence between these disparate phenomena.

The statistically significant correlation between UFO sightings and LPG consumption prompts contemplation on the cosmic forces that may be shaping earthly energy consumption patterns. Perhaps, as we gaze skyward, there is an unseen hand guiding the terrestrial utilization of LPG, subtly influencing human activities from the celestial realm. These findings challenge us to embrace unconventional perspectives and open our minds to the interplay of cosmic phenomena and earthly endeavors.


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 UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand

[[ABSTRACT]]
This research endeavors to investigate the potential connection between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand. Utilizing data from the National UFO Reporting Center and the Energy Information Administration, an empirical analysis was conducted over the period of 1980 to 2021. The results yielded a notable correlation coefficient of 0.9365583 with a statistically significant p-value of less than 0.01, suggesting a strong association between these seemingly disparate phenomena. While the astute reader may raise an eyebrow at such an unexpected correlation, our findings present a compelling case for further exploration of the cosmic forces that may be influencing earthly energy consumption patterns. The implications of these results may extend beyond the realm of conventional understanding, inviting a broader dialogue on the interconnectedness of celestial occurrences and terrestrial activities.

[[LITERATURE REVIEW]]
The interplay between celestial phenomena and terrestrial activities has captivated the scientific community for decades. This section presents an exploration of the existing literature that delineates the potential connection between UFO sightings in Connecticut and Liquefied Petroleum Gas (LPG) consumption in Thailand.
Smith et al. (2005) examined the cultural significance of UFO sightings and their impact on local communities, shedding light on the psychological implications of extraterrestrial encounters. In a similar vein, Doe and Jones (2010) investigated the patterns of energy consumption in Southeast Asia, offering insights into the regional variations in LPG usage.
Moving beyond the conventional academic corpus, "The X-Files: Earthly Energies Exposed" delves into the speculative realm of alien interactions with earthly energy sources, offering a fictional but thought-provoking narrative. Moreover, "Close Encounters of the Cooking Kind" by Spielberg et al. (1977) presents a whimsical exploration of interstellar beings' gastronomic preferences and their potential influence on LPG usage patterns.
In a departure from traditional scholarly sources, the researchers engaged with popular culture, including episodes of "Scooby-Doo" and "The Jetsons," to glean insights into the portrayal of extraterrestrial encounters and futuristic energy consumption dynamics. While not academically rigorous, these sources provided a lighthearted backdrop for the investigation of unconventional correlations.
The juxtaposition of these disparate sources lays the foundation for a comprehensive understanding of the multidimensional forces at play in the correlation between UFO sightings in Connecticut and LPG consumption in Thailand. This eclectic mix of academic, fictional, and popular culture sources sets the stage for a nuanced examination of the potential cosmic influences on earthly energy patterns.
The authors find themselves grappling with the unexpected twists and turns that emerge from this unconventional synthesis of literature, simultaneously underscored by the gravity of the research question and punctuated by moments of levity inherent in the investigation of celestial and terrestrial phenomena.

[[RESULTS]]
The empirical analysis of the potential relationship between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand unveiled a striking correlation coefficient of 0.9365583 over the period of 1980 to 2021. This strong correlation, coupled with an r-squared value of 0.8771414 and a p-value of less than 0.01, suggests a robust association between these seemingly incongruent variables. The statistical significance of these findings serves as a testament to the unexpected connections that can emerge from diligent inquiry.
Figure 1 depicts the scatterplot illustrating the pronounced correlation between UFO sightings in Connecticut and LPG consumption in Thailand. While the scatterplot remains stoically silent on the cosmic forces at play, it unquestionably portrays the coherence between these disparate phenomena.
The statistically significant correlation between UFO sightings and LPG consumption prompts contemplation on the cosmic forces that may be shaping earthly energy consumption patterns. Perhaps, as we gaze skyward, there is an unseen hand guiding the terrestrial utilization of LPG, subtly influencing human activities from the celestial realm. These findings challenge us to embrace unconventional perspectives and open our minds to the interplay of cosmic phenomena and earthly endeavors.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The findings of our empirical analysis affirm the presence of a compelling correlation between UFO sightings in Connecticut and Liquefied Petroleum Gas (LPG) consumption in Thailand. These results lend support to the prior research that has hinted at the interconnectedness of celestial occurrences and terrestrial activities. The unexpected correlation coefficient of 0.9365583 echoes the sentiments expressed by Smith et al. (2005) and Doe and Jones (2010), underscoring the cosmic intrigue that imbues our earthly existence. While the initial exploration of this connection may have raised a few eyebrows akin to an alien encounter, our results substantiate the notion that there may be more to the celestial and earthly interplay than meets the eye.

The statistical significance of this correlation, reflected in the p-value of less than 0.01, serves as a gentle reminder that even the most offbeat hypotheses warrant earnest consideration. The gravity of this unanticipated association is akin to the gravitational pull of extraterrestrial forces, compelling us to delve further into the cosmic forces that may be at play. As the scatterplot dutifully portrays the coherence between UFO sightings and LPG consumption, we are urged to contemplate the ethereal hand that may be guiding terrestrial energy utilization, much like a guiding star amid cosmic darkness.

The unexpected twists and turns encountered in this unconventional synthesis of literature, with its lighthearted knowledge gleaned from "The X-Files: Earthly Energies Exposed" and the whimsical exploration of alien gastronomic preferences in "Close Encounters of the Cooking Kind," intertwine with our rigorous empirical analysis to present a multifaceted understanding of the cosmic influences on earthly energy patterns. This eclectic mix of sources not only provides a nuanced backdrop for our investigation but also underscores the complexity of the cosmic and terrestrial interplay, punctuated by moments of levity inherent in the investigation of celestial and terrestrial phenomena.

In this pursuit of knowledge, the unexpected correlations that emerge from diligent inquiry enliven the research landscape with a touch of cosmic whimsy, enriching our understanding of the grand tapestry of celestial and earthly happenings. These findings beckon us to embrace unconventional perspectives and open our minds to the interplay of cosmic phenomena and earthly endeavors, inviting scholars to join us in this cosmic dance of statistical significance and cosmic correlations.


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 UFO sightings in Connecticut and Liquefied petroleum gas used in Thailand. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand

[[ABSTRACT]]
This research endeavors to investigate the potential connection between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand. Utilizing data from the National UFO Reporting Center and the Energy Information Administration, an empirical analysis was conducted over the period of 1980 to 2021. The results yielded a notable correlation coefficient of 0.9365583 with a statistically significant p-value of less than 0.01, suggesting a strong association between these seemingly disparate phenomena. While the astute reader may raise an eyebrow at such an unexpected correlation, our findings present a compelling case for further exploration of the cosmic forces that may be influencing earthly energy consumption patterns. The implications of these results may extend beyond the realm of conventional understanding, inviting a broader dialogue on the interconnectedness of celestial occurrences and terrestrial activities.

[[INTRDUCTION]]
The intertwining of celestial sightings and earthly energy consumption has long fascinated researchers and casual stargazers alike. While anecdotal evidence of UFO sightings has often been dismissed as the stuff of science fiction, rigorous empirical analysis may shed light on the potential connection to earthly phenomena. Similarly, the global consumption of Liquefied Petroleum Gas (LPG) has been the subject of numerous studies, but a link to extraterrestrial activity has not been a commonly explored avenue.
The current study aims to bridge these seemingly unrelated topics by investigating the potential relationship between UFO sightings in Connecticut and the consumption of LPG in Thailand. This cross-continental inquiry ventures beyond conventional research boundaries, laying the groundwork for a novel exploration of cosmic intrigue and terrestrial energy patterns. The unexpected connection between these disparate variables invites a reconsideration of the forces at play in our interconnected world.
As we delve into this enigmatic correlation, it is important to approach the analysis with a keen eye for methodological rigor and a touch of curiosity about the uncharted territories of statistical inquiry. The juxtaposition of UFO sightings and LPG consumption may elicit a quizzical glance from even the most seasoned researchers, but it is precisely this unexpected juxtaposition that prompts a reevaluation of our understanding of causal relationships and statistical anomalies.
Indeed, the statistical findings of this study, while thought-provoking, beckon the scientific community to embrace a touch of whimsy and wonder as we unravel the mysteries that lie at the intersection of cosmic phenomena and earthly energy consumption. As we journey through the annals of empirical investigation, let us not forget to look up at the stars – perhaps there, among the constellations, lies the key to unlocking the enigma of UFO sightings and LPG consumption.
In the next section, we embark on a methodical exposition of the data sources, empirical analysis, and findings that underpin this unconventional but captivating exploration of celestial and earthly interactions.

[[RESULTS]]
The empirical analysis of the potential relationship between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand unveiled a striking correlation coefficient of 0.9365583 over the period of 1980 to 2021. This strong correlation, coupled with an r-squared value of 0.8771414 and a p-value of less than 0.01, suggests a robust association between these seemingly incongruent variables. The statistical significance of these findings serves as a testament to the unexpected connections that can emerge from diligent inquiry.
Figure 1 depicts the scatterplot illustrating the pronounced correlation between UFO sightings in Connecticut and LPG consumption in Thailand. While the scatterplot remains stoically silent on the cosmic forces at play, it unquestionably portrays the coherence between these disparate phenomena.
The statistically significant correlation between UFO sightings and LPG consumption prompts contemplation on the cosmic forces that may be shaping earthly energy consumption patterns. Perhaps, as we gaze skyward, there is an unseen hand guiding the terrestrial utilization of LPG, subtly influencing human activities from the celestial realm. These findings challenge us to embrace unconventional perspectives and open our minds to the interplay of cosmic phenomena and earthly endeavors.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In light of the compelling correlation coefficient and statistical significance revealed in this study, the exploration of the interplay between UFO sightings in Connecticut and Liquefied Petroleum Gas (LPG) consumption in Thailand has unveiled a cosmic conundrum worthy of further scrutiny. While the unexpected association between these phenomena may initially raise eyebrows and prompt wry quips about alien interventions in earthly energy patterns, the statistical evidence stands as a beacon of empirical inquiry in uncharted territories.

One cannot help but entertain the notion of cosmic gas stations frequented by extraterrestrial visitors, who perhaps favor refueling with LPG while making their spectral sojourns across the planet. The pronounced correlation begs the question: are celestial energies influencing earthly consumption patterns, or are earthly activities attracting extraterrestrial attention? These existential musings serve as a reminder of the whimsical wonders that can emerge from statistical analysis when delving into the cosmic abyss of variable relationships.

While the findings of this study elicit a lighthearted reconsideration of cosmic influences on earthly endeavors, it is crucial to acknowledge the limitations inherent in statistical correlation and the potential for spurious relationships. However, the study's robust p-value and r-squared value provide a sturdy foundation for future investigations that may shed further light on the enigmatic interplay between celestial sightings and earthly energy consumption.

In conclusion, the unexpected correlation between UFO sightings and LPG consumption paints a picture of cosmic intrigue that invites both whimsy and wonder. However, the statistical evidence demands earnest consideration, prompting us to peer through the telescopic lens of empirical investigation and illuminate the mysteries lurking at the intersection of the cosmic and the terrestrial. Therefore, we assert that no further research in this unconventional yet captivating area is warranted.


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 Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Extraterrestrial Studies and Petroleum Geopolitics


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 Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Extraterrestrial Studies and Energy Solutions


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 Unraveling UFOs and Unleaded Unleashed: Exploring the Interplay Between UFO Sightings in Connecticut and Liquefied Petroleum Gas in Thailand with an abstract of This research endeavors to investigate the potential connection between UFO sightings in Connecticut and the consumption of Liquefied Petroleum Gas (LPG) in Thailand. Utilizing data from the National UFO Reporting Center and the Energy Information Administration, an empirical analysis was conducted over the period of 1980 to 2021. The results yielded a notable correlation coefficient of 0.9365583 with a statistically significant p-value of less than 0.01, suggesting a strong association between these seemingly disparate phenomena. While the astute reader may raise an eyebrow at such an unexpected correlation, our findings present a compelling case for further exploration of the cosmic forces that may be influencing earthly energy consumption patterns. The implications of these results may extend beyond the realm of conventional understanding, inviting a broader dialogue on the interconnectedness of celestial occurrences and terrestrial activities.

ChatGPT:

UFO sightings, Connecticut, Liquefied Petroleum Gas, LPG, Thailand, correlation, National UFO Reporting Center, Energy Information Administration, empirical analysis, cosmic forces, interplay, celestial occurrences, terrestrial activities

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



Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error


Data details

UFO sightings in Connecticut
Detailed data title: UFO sightings reported in Connecticut
Source: National UFO Reporting Center
See what else correlates with UFO sightings in Connecticut

Liquefied petroleum gas used in Thailand
Detailed data title: Volume of liquefied petroleum gas used consumed in Thailand in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Liquefied petroleum gas used in Thailand

Correlation r = 0.9365583 (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 = 0.8771414 (Coefficient of determination)
This means 87.7% of the change in the one variable (i.e., Liquefied petroleum gas used in Thailand) is predictable based on the change in the other (i.e., UFO sightings in Connecticut) over the 42 years from 1980 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.2E-20. 0.0000000000000000000819092192
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 0.94 in 8.2E-18% of random cases. Said differently, if you correlated 12,208,637,925,827,037,184 random variables You don't actually need 12 quintillion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 41 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 41 because we have two variables measured over a period of 42 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.

[ 0.88, 0.97 ] 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.
198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021
UFO sightings in Connecticut (UFO sightings)813457125523543791114152135193136263060606465741521328879688277909944
Liquefied petroleum gas used in Thailand (Million Barrels/Day)19.120818.267216.986818.267219.88919.2061202224283233353842475757575973.736583.070384.922788.564189.6304100.282113.685132.754153.799167.693192.617221.384236.66241.845241.447214195209.277211.212206.734182.517194.801




Why this works

  1. 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.
  2. 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.
  3. 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.
  4. Outlandish outliers: There are "outliers" in this data. In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

    For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.

    (This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
    They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.




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([8,1,3,4,5,7,1,2,5,5,2,3,5,4,3,7,9,11,14,15,21,35,19,31,36,26,30,60,60,64,65,74,152,132,88,79,68,82,77,90,99,44,])
array_2 = np.array([19.1208,18.2672,16.9868,18.2672,19.889,19.2061,20,22,24,28,32,33,35,38,42,47,57,57,57,59,73.7365,83.0703,84.9227,88.5641,89.6304,100.282,113.685,132.754,153.799,167.693,192.617,221.384,236.66,241.845,241.447,214,195,209.277,211.212,206.734,182.517,194.801,])
array_1_name = "UFO sightings in Connecticut"
array_2_name = "Liquefied petroleum gas used in Thailand"

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

Download images for these variables:


View another random correlation

How fun was this correlation?

Bravo! Your evaluation rocks!


Correlation ID: 1787 · Black Variable ID: 1171 · Red Variable ID: 24985
about · subscribe · emailme@tylervigen.com · twitter

CC BY 4.0