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AI explanation
As the saying goes, "less management information, more control of gas emission!" It seems that as the supply of Management Information Systems professionals has dwindled, there's been a natural gasp in the demand for Liquefied Petroleum Gas in Lithuania. It's a case of 'Ctrl Alt Deplete' as the decrease in qualified individuals has led to a 'disconnect' in the industry, creating a 'power outage' in the job market. Looks like they'll need to 'reboot' their strategies to avoid 'burning out' in this field! It's a 'system error' that's leaving everyone 'gasping' for a solution, and the job market is feeling the heat as a result. With fewer experts to 'navigate' the industry, it's clear that when it comes to Management Information Systems, the stakes are high - or should I say, the 'gas' is high! This correlation is really 'fired up' the debate about the impact of education on global industries. Looks like they'll need to 'streamline' their approach to education to avoid a 'deficit' in the workforce. It's a 'sector' where every 'byte' of knowledge counts, and the shortage of qualified professionals is definitely putting the industry in 'power-saving mode'.
Model: dalle-3
Prompt: Generate an image of a sleek, high-tech classroom with a few students dressed in graduation gowns, receiving their Associates degrees in Management Information Systems. The room is filled with futuristic technology, such as holographic displays and advanced learning tools. Outside the classroom, a truck equipped with cutting-edge GPS and monitoring systems delivers a few tanks of Liquefied Petroleum Gas to a local business in Lithuania. The scene should capture the contrast between the futuristic educational environment and the practical, high-tech delivery of vital resources outside. 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: Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania. 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: High-tech Futuristic Cute 2D animation inspired by bauhaus Hyper-realistic
ChatGPT: High-tech
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania, in the following situation: As the number of management information systems graduates decreased, so did the number of qualified individuals to properly manage the distribution of Liquefied petroleum gas in Lithuania, leading to a decrease in its overall usage.. Keep the description simple.
ChatGPT: A classroom with a few students receiving their Associates degrees in Management Information Systems, while outside, a truck delivers fewer tanks of Liquefied Petroleum Gas to a local business in Lithuania.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ High-tech ] and depicting this scene: A classroom with a few students receiving their Associates degrees in Management Information Systems, while outside, a truck delivers fewer tanks of Liquefied Petroleum Gas to a local business in Lithuania. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a sleek, high-tech classroom with a few students dressed in graduation gowns, receiving their Associates degrees in Management Information Systems. The room is filled with futuristic technology, such as holographic displays and advanced learning tools. Outside the classroom, a truck equipped with cutting-edge GPS and monitoring systems delivers a few tanks of Liquefied Petroleum Gas to a local business in Lithuania. The scene should capture the contrast between the futuristic educational environment and the practical, high-tech delivery of vital resources outside.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how a decrease in Associates degrees awarded in Management information systems caused Liquefied petroleum gas used in Lithuania to decrease. Include one good pun.
AI academic paper
 |
Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania The International Journal of Quirky Technology Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title a clever pun.
Your research team used data from National Center for Education Statistics and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9556364 and p < 0.01 for 2011 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]]
"Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania"
[[ABSTRACT]]
This paper seeks to investigate the peculiar relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. Despite initial skepticism about the potential correlation, our research team utilized data from the National Center for Education Statistics and the Energy Information Administration to uncover a strong and statistically significant association. The correlation coefficient of 0.9556364 and p < 0.01 for the period from 2011 to 2021 offers compelling evidence of this unexpected connection. We discuss potential explanations for this curious correlation and its implications for the fields of education and energy consumption. Our findings are sure to spark lively discussions, and perhaps a few raised eyebrows, within the academic community.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania. 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]]
"Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania"
[[ABSTRACT]]
This paper seeks to investigate the peculiar relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. Despite initial skepticism about the potential correlation, our research team utilized data from the National Center for Education Statistics and the Energy Information Administration to uncover a strong and statistically significant association. The correlation coefficient of 0.9556364 and p < 0.01 for the period from 2011 to 2021 offers compelling evidence of this unexpected connection. We discuss potential explanations for this curious correlation and its implications for the fields of education and energy consumption. Our findings are sure to spark lively discussions, and perhaps a few raised eyebrows, within the academic community.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The intersection of Management Information Systems (MIS) and Liquefied Petroleum Gas (LPG) may seem like an unlikely duo, akin to mixing oil and water, or in this case, mixing gas and data. However, as researchers, we are constantly on the lookout for unexpected connections, much like accidentally stumbling upon a hidden gem while sifting through mountains of data. Our curious minds were piqued, but skeptical, as we embarked on this journey to explore the enigmatic relationship between the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania.
Some may question the validity of investigating such seemingly disparate variables, but as esteemed scholars, we are no strangers to embracing the unconventional and uncovering hidden patterns, much like uncovering a needle in a haystack or spotting a statistical anomaly within a sea of data points. After all, in the world of research, the path less traveled often leads to the most intriguing discoveries.
The quest to unravel this peculiar correlation led us to delve into the depths of data, armed with our trusty statistical tools and an insatiable thirst for knowledge. We meticulously gathered information from the National Center for Education Statistics and the Energy Information Administration, meticulously sifting through countless datasets with the precision of a forensic scientist analyzing evidence.
As we toiled through the data, navigating through the labyrinth of numbers and variables, we were met with an unexpected revelation – a correlation coefficient of 0.9556364, with a p-value less than 0.01. It was a moment of sheer astonishment, akin to stumbling upon a statistical unicorn, as we realized the magnitude of this association. This statistical strength left no room for doubt, prompting us to delve deeper into the potential implications and explanations for this mysteriously robust connection.
In the subsequent sections of this paper, we will dissect the intricacies of this unforeseen linkage, teasing apart potential causal mechanisms and shedding light on the implications for both the realms of education and energy consumption. Brace yourselves for a journey through the labyrinth of statistical significance, sprinkled with a dash of scholarly conjecture and a pinch of wry academic humor. Our findings are not only bound to raise eyebrows but may also ignite a lively symphony of scholarly discourse, akin to the collision of particles in a research laboratory, as we unravel this gas-tly connection between MIS degrees and LPG consumption in Lithuania.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania. 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. Perhaps you also got inspiration from some board games that are vaugely related.
Here is the title and abstract of the paper:
[[TITLE]]
"Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania"
[[ABSTRACT]]
This paper seeks to investigate the peculiar relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. Despite initial skepticism about the potential correlation, our research team utilized data from the National Center for Education Statistics and the Energy Information Administration to uncover a strong and statistically significant association. The correlation coefficient of 0.9556364 and p < 0.01 for the period from 2011 to 2021 offers compelling evidence of this unexpected connection. We discuss potential explanations for this curious correlation and its implications for the fields of education and energy consumption. Our findings are sure to spark lively discussions, and perhaps a few raised eyebrows, within the academic community.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of Management Information Systems (MIS) and Liquefied Petroleum Gas (LPG) may seem like an unlikely duo, akin to mixing oil and water, or in this case, mixing gas and data. However, as researchers, we are constantly on the lookout for unexpected connections, much like accidentally stumbling upon a hidden gem while sifting through mountains of data. Our curious minds were piqued, but skeptical, as we embarked on this journey to explore the enigmatic relationship between the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania.
Some may question the validity of investigating such seemingly disparate variables, but as esteemed scholars, we are no strangers to embracing the unconventional and uncovering hidden patterns, much like uncovering a needle in a haystack or spotting a statistical anomaly within a sea of data points. After all, in the world of research, the path less traveled often leads to the most intriguing discoveries.
The quest to unravel this peculiar correlation led us to delve into the depths of data, armed with our trusty statistical tools and an insatiable thirst for knowledge. We meticulously gathered information from the National Center for Education Statistics and the Energy Information Administration, meticulously sifting through countless datasets with the precision of a forensic scientist analyzing evidence.
As we toiled through the data, navigating through the labyrinth of numbers and variables, we were met with an unexpected revelation – a correlation coefficient of 0.9556364, with a p-value less than 0.01. It was a moment of sheer astonishment, akin to stumbling upon a statistical unicorn, as we realized the magnitude of this association. This statistical strength left no room for doubt, prompting us to delve deeper into the potential implications and explanations for this mysteriously robust connection.
In the subsequent sections of this paper, we will dissect the intricacies of this unforeseen linkage, teasing apart potential causal mechanisms and shedding light on the implications for both the realms of education and energy consumption. Brace yourselves for a journey through the labyrinth of statistical significance, sprinkled with a dash of scholarly conjecture and a pinch of wry academic humor. Our findings are not only bound to raise eyebrows but may also ignite a lively symphony of scholarly discourse, akin to the collision of particles in a research laboratory, as we unravel this gas-tly connection between MIS degrees and LPG consumption in Lithuania.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "The Data Odyssey: Traversing the Information Seas," Smith and Doe explore the enigmatic world of data patterns, urging scholars to embrace the unexpected, much like stumbling upon a hidden cave of statistical wonders. Similarly, Jones et al., in "The Statistical Conundrum: Unraveling Patterns in the Abyss of Data," advocate for the exploration of unusual relationships, emphasizing the exhilarating thrill of uncovering statistical anomalies, akin to finding a diamond in the rough of numerical chaos.
While the literature on the direct connection between Management Information Systems (MIS) degrees and Liquefied Petroleum Gas (LPG) consumption is scarce, our research team delved into the realms of fiction for inspiration, drawing on tales of unexpected correlations and peculiar couplings. In "The Statistical Adventures of Sherlock Holmes," the eponymous detective unravels perplexing connections, demonstrating that even the most improbable pairings can hold hidden truths beneath their enigmatic surface. Similarly, in "The Curious Case of the Correlating Ciphers," the protagonist navigates through a landscape of cryptic associations, mirroring our own expedition through the tangled web of MIS degrees and LPG consumption in Lithuania.
Drawing unconventional parallels from the world of board games, we found inspiration in the dynamics of strategic pairings. Just as skilled players manipulate the intricate relationships of resources in games such as "Settlers of Catan" and "Ticket to Ride," our research endeavors to unravel the strategic interplay between educational pursuits in MIS and energy utilization in the form of LPG. After all, much like a well-played game, uncovering unexpected correlations requires a keen eye for patterns and a willingness to traverse uncharted territory in the pursuit of knowledge.
As our literature review has playfully demonstrated, while the field of statistics may be replete with rigorous analyses and scholarly discussions, it also offers ample opportunities for lighthearted exploration and unexpected revelations. In the subsequent sections of this paper, we will delve into the empirical findings that spring from this unlikely nexus of academic pursuits and energy consumption, embracing the whimsy of scholarly inquiry while maintaining a steadfast commitment to robust statistical analysis and interpretation.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania. 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 Center for Education Statistics and Energy Information Administration . You used data from 2011 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]]
"Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania"
[[ABSTRACT]]
This paper seeks to investigate the peculiar relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. Despite initial skepticism about the potential correlation, our research team utilized data from the National Center for Education Statistics and the Energy Information Administration to uncover a strong and statistically significant association. The correlation coefficient of 0.9556364 and p < 0.01 for the period from 2011 to 2021 offers compelling evidence of this unexpected connection. We discuss potential explanations for this curious correlation and its implications for the fields of education and energy consumption. Our findings are sure to spark lively discussions, and perhaps a few raised eyebrows, within the academic community.
[[INTRODUCTION]]
The intersection of Management Information Systems (MIS) and Liquefied Petroleum Gas (LPG) may seem like an unlikely duo, akin to mixing oil and water, or in this case, mixing gas and data. However, as researchers, we are constantly on the lookout for unexpected connections, much like accidentally stumbling upon a hidden gem while sifting through mountains of data. Our curious minds were piqued, but skeptical, as we embarked on this journey to explore the enigmatic relationship between the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania.
Some may question the validity of investigating such seemingly disparate variables, but as esteemed scholars, we are no strangers to embracing the unconventional and uncovering hidden patterns, much like uncovering a needle in a haystack or spotting a statistical anomaly within a sea of data points. After all, in the world of research, the path less traveled often leads to the most intriguing discoveries.
The quest to unravel this peculiar correlation led us to delve into the depths of data, armed with our trusty statistical tools and an insatiable thirst for knowledge. We meticulously gathered information from the National Center for Education Statistics and the Energy Information Administration, meticulously sifting through countless datasets with the precision of a forensic scientist analyzing evidence.
As we toiled through the data, navigating through the labyrinth of numbers and variables, we were met with an unexpected revelation – a correlation coefficient of 0.9556364, with a p-value less than 0.01. It was a moment of sheer astonishment, akin to stumbling upon a statistical unicorn, as we realized the magnitude of this association. This statistical strength left no room for doubt, prompting us to delve deeper into the potential implications and explanations for this mysteriously robust connection.
In the subsequent sections of this paper, we will dissect the intricacies of this unforeseen linkage, teasing apart potential causal mechanisms and shedding light on the implications for both the realms of education and energy consumption. Brace yourselves for a journey through the labyrinth of statistical significance, sprinkled with a dash of scholarly conjecture and a pinch of wry academic humor. Our findings are not only bound to raise eyebrows but may also ignite a lively symphony of scholarly discourse, akin to the collision of particles in a research laboratory, as we unravel this gas-tly connection between MIS degrees and LPG consumption in Lithuania.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unearth the covert connection between the conferment of associates degrees in Management Information Systems (MIS) and the utilization of Liquefied Petroleum Gas (LPG) in Lithuania, our research team employed a multifaceted approach that combined elements of data mining, statistical analysis, and a touch of whimsical curiosity. Our data gathering process resembled a scientific scavenger hunt, as we scoured the digital landscapes of the National Center for Education Statistics and the Energy Information Administration, akin to intrepid explorers on a quest for elusive treasure.
The quantitative aspect of our methodology involved retrieving longitudinal data on the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania from the years 2011 to 2021. The data from these disparate sources were amalgamated using the mystical art of data fusion, transforming a medley of statistics into a harmonious symphony of interconnected variables.
In order to establish the strength and nature of the relationship between the two seemingly incongruous variables, we called upon the venerable tools of statistical analysis. Our trusty companions, correlation analysis and regression modeling, accompanied us on this scholarly escapade, providing insight into the patterns and trends lurking within the labyrinthine expanse of data points.
The formidable correlation coefficient and p-value emerged as the crowning jewels of our analysis, illuminating the unexpected robustness of the association between the bestowal of MIS degrees and the utilization of LPG. These statistical titans stood as incontrovertible evidence of the remarkable connection, akin to unearthing a rare artifact amidst a trove of mundane relics.
In interpreting the findings, we operated with the sagacity of seasoned detectives, piecing together clues and constructing plausible narratives to elucidate the enigmatic relationship. Our journey through the gauntlet of data analysis was imbued with both diligent rigor and a lighthearted spirit, akin to embarking on a whimsical quest through the annals of statistical intrigue.
The subsequent sections of this paper will unravel the intricacies of this unsuspected nexus, offering insightful interpretations and raising thoughtful questions about the implications of this gas-tly connection. Join us as we venture through the corridors of statistical significance and scholarly discourse, blending rigorous inquiry with a dash of academic levity to unveil the unforeseen ties between MIS degrees and LPG consumption in Lithuania.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania. 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 Center for Education Statistics and Energy Information Administration .
For the time period 2011 to 2021, you found a correlation 0.9556364, r-squared of 0.9132410, 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]]
"Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania"
[[ABSTRACT]]
This paper seeks to investigate the peculiar relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. Despite initial skepticism about the potential correlation, our research team utilized data from the National Center for Education Statistics and the Energy Information Administration to uncover a strong and statistically significant association. The correlation coefficient of 0.9556364 and p < 0.01 for the period from 2011 to 2021 offers compelling evidence of this unexpected connection. We discuss potential explanations for this curious correlation and its implications for the fields of education and energy consumption. Our findings are sure to spark lively discussions, and perhaps a few raised eyebrows, within the academic community.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of Management Information Systems (MIS) and Liquefied Petroleum Gas (LPG) may seem like an unlikely duo, akin to mixing oil and water, or in this case, mixing gas and data. However, as researchers, we are constantly on the lookout for unexpected connections, much like accidentally stumbling upon a hidden gem while sifting through mountains of data. Our curious minds were piqued, but skeptical, as we embarked on this journey to explore the enigmatic relationship between the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania.
Some may question the validity of investigating such seemingly disparate variables, but as esteemed scholars, we are no strangers to embracing the unconventional and uncovering hidden patterns, much like uncovering a needle in a haystack or spotting a statistical anomaly within a sea of data points. After all, in the world of research, the path less traveled often leads to the most intriguing discoveries.
The quest to unravel this peculiar correlation led us to delve into the depths of data, armed with our trusty statistical tools and an insatiable thirst for knowledge. We meticulously gathered information from the National Center for Education Statistics and the Energy Information Administration, meticulously sifting through countless datasets with the precision of a forensic scientist analyzing evidence.
As we toiled through the data, navigating through the labyrinth of numbers and variables, we were met with an unexpected revelation – a correlation coefficient of 0.9556364, with a p-value less than 0.01. It was a moment of sheer astonishment, akin to stumbling upon a statistical unicorn, as we realized the magnitude of this association. This statistical strength left no room for doubt, prompting us to delve deeper into the potential implications and explanations for this mysteriously robust connection.
In the subsequent sections of this paper, we will dissect the intricacies of this unforeseen linkage, teasing apart potential causal mechanisms and shedding light on the implications for both the realms of education and energy consumption. Brace yourselves for a journey through the labyrinth of statistical significance, sprinkled with a dash of scholarly conjecture and a pinch of wry academic humor. Our findings are not only bound to raise eyebrows but may also ignite a lively symphony of scholarly discourse, akin to the collision of particles in a research laboratory, as we unravel this gas-tly connection between MIS degrees and LPG consumption in Lithuania.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The statistical analysis of the relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania revealed a striking correlation coefficient of 0.9556364. This near-perfect correlation would make even the most stoic statistician crack a smile, or at least raise an eyebrow in disbelief. The coefficient of determination (r-squared) further confirmed the robustness of this association, standing at a formidable 0.9132410. It seems that these two variables are intertwined in a dance of statistical significance, waltzing together in a manner that defies conventional wisdom.
Furthermore, the p-value of less than 0.01 provided compelling evidence to reject the null hypothesis that there is no relationship between MIS degrees and LPG consumption. In other words, the likelihood of such a strong association occurring by chance is as rare as finding a four-leaf clover in a field of data points. The stars seemed to have aligned, or perhaps the data points aligned, to unveil this curious connection between the academic realm of MIS and the energy domain of LPG consumption in Lithuania.
To visually encapsulate this astonishing discovery, we present Fig. 1, a scatterplot that vividly illustrates the remarkably strong correlation between the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania. The points in the plot form a nearly perfect straight line, as if the data itself is eager to showcase this unexpected relationship. It's almost as if the data points are saying, "We may seem unrelated, but statistically speaking, we're a perfect match!"
Overall, our findings provide compelling evidence of a gas-tly connection between MIS degrees and LPG consumption in Lithuania. The implications of this unanticipated relationship, much like a statistical butterfly effect, are bound to reverberate through the realms of education and energy consumption, paving the way for further exploration and scholarly discourse. It just goes to show, in the world of research, expect the unexpected, and embrace the statistical surprises that await in the labyrinth of data analysis.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania. 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]]
"Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania"
[[ABSTRACT]]
This paper seeks to investigate the peculiar relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. Despite initial skepticism about the potential correlation, our research team utilized data from the National Center for Education Statistics and the Energy Information Administration to uncover a strong and statistically significant association. The correlation coefficient of 0.9556364 and p < 0.01 for the period from 2011 to 2021 offers compelling evidence of this unexpected connection. We discuss potential explanations for this curious correlation and its implications for the fields of education and energy consumption. Our findings are sure to spark lively discussions, and perhaps a few raised eyebrows, within the academic community.
[[LITERATURE REVIEW]]
In "The Data Odyssey: Traversing the Information Seas," Smith and Doe explore the enigmatic world of data patterns, urging scholars to embrace the unexpected, much like stumbling upon a hidden cave of statistical wonders. Similarly, Jones et al., in "The Statistical Conundrum: Unraveling Patterns in the Abyss of Data," advocate for the exploration of unusual relationships, emphasizing the exhilarating thrill of uncovering statistical anomalies, akin to finding a diamond in the rough of numerical chaos.
While the literature on the direct connection between Management Information Systems (MIS) degrees and Liquefied Petroleum Gas (LPG) consumption is scarce, our research team delved into the realms of fiction for inspiration, drawing on tales of unexpected correlations and peculiar couplings. In "The Statistical Adventures of Sherlock Holmes," the eponymous detective unravels perplexing connections, demonstrating that even the most improbable pairings can hold hidden truths beneath their enigmatic surface. Similarly, in "The Curious Case of the Correlating Ciphers," the protagonist navigates through a landscape of cryptic associations, mirroring our own expedition through the tangled web of MIS degrees and LPG consumption in Lithuania.
Drawing unconventional parallels from the world of board games, we found inspiration in the dynamics of strategic pairings. Just as skilled players manipulate the intricate relationships of resources in games such as "Settlers of Catan" and "Ticket to Ride," our research endeavors to unravel the strategic interplay between educational pursuits in MIS and energy utilization in the form of LPG. After all, much like a well-played game, uncovering unexpected correlations requires a keen eye for patterns and a willingness to traverse uncharted territory in the pursuit of knowledge.
As our literature review has playfully demonstrated, while the field of statistics may be replete with rigorous analyses and scholarly discussions, it also offers ample opportunities for lighthearted exploration and unexpected revelations. In the subsequent sections of this paper, we will delve into the empirical findings that spring from this unlikely nexus of academic pursuits and energy consumption, embracing the whimsy of scholarly inquiry while maintaining a steadfast commitment to robust statistical analysis and interpretation.
[[RESULTS]]
The statistical analysis of the relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania revealed a striking correlation coefficient of 0.9556364. This near-perfect correlation would make even the most stoic statistician crack a smile, or at least raise an eyebrow in disbelief. The coefficient of determination (r-squared) further confirmed the robustness of this association, standing at a formidable 0.9132410. It seems that these two variables are intertwined in a dance of statistical significance, waltzing together in a manner that defies conventional wisdom.
Furthermore, the p-value of less than 0.01 provided compelling evidence to reject the null hypothesis that there is no relationship between MIS degrees and LPG consumption. In other words, the likelihood of such a strong association occurring by chance is as rare as finding a four-leaf clover in a field of data points. The stars seemed to have aligned, or perhaps the data points aligned, to unveil this curious connection between the academic realm of MIS and the energy domain of LPG consumption in Lithuania.
To visually encapsulate this astonishing discovery, we present Fig. 1, a scatterplot that vividly illustrates the remarkably strong correlation between the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania. The points in the plot form a nearly perfect straight line, as if the data itself is eager to showcase this unexpected relationship. It's almost as if the data points are saying, "We may seem unrelated, but statistically speaking, we're a perfect match!"
Overall, our findings provide compelling evidence of a gas-tly connection between MIS degrees and LPG consumption in Lithuania. The implications of this unanticipated relationship, much like a statistical butterfly effect, are bound to reverberate through the realms of education and energy consumption, paving the way for further exploration and scholarly discourse. It just goes to show, in the world of research, expect the unexpected, and embrace the statistical surprises that await in the labyrinth of data analysis.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of this study have unearthed a connection between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania that is as perplexing as it is intriguing. While initially we may have approached this research endeavor with a raised eyebrow and a sense of skepticism, the statistical findings assert themselves with a resounding confidence, much like a magician pulling a rabbit out of a hat – unexpected, yet undeniably present.
As we reflect on the literature review, we cannot help but recall the adventurous spirit of Smith and Doe, who encouraged researchers to embrace the quirks and mysteries of data patterns. Our findings stand as a testament to their call for embracing the unexpected, serving as a real-world example of stumbling upon a statistical oasis in the otherwise arid landscape of traditional research hypotheses. Similarly, the playful references to fiction and board games in our literature review take on new significance as we witness the improbable coupling of MIS degrees and LPG consumption being revealed as a statistically robust union. It appears that statistical anomalies and peculiar couplings are not solely the realm of whimsical tales but can indeed hold a place in the empirical world of research.
The strong correlation coefficient, the formidable coefficient of determination, and the minuscule p-value all align like stars in a statistical constellation to assert the validity of this unexpected relationship. Much like the uncovering of a hidden gem in a mountain of numerical data, our discovery challenges conventional expectations and warrants a reevaluation of the seemingly disparate domains of education and energy consumption. It is as if the data points themselves have conspired to unveil a relationship that transcends the realms of probability and offers a glimpse into the tantalizing mysteries of statistical associations.
The perfectly straight line depicted in the scatterplot seems to beckon the viewer to embrace the unexpected connection between MIS degrees and LPG consumption, almost as if the data points are gleefully whispering, "Don't be misled by appearances; statistically speaking, we're a match made in research heaven!" It is a quirky revelation, to say the least, but one that demands serious consideration and further exploration, much like stumbling upon a statistical eureka moment in the labyrinth of data analysis.
In conclusion, our findings support the pursuit of unexpected correlations and the romanticism of statistical anomalies, underlining the notion that even the most improbable pairings can hold hidden truths beneath their enigmatic surface. As we continue to unravel the statistical enigma of MIS degrees and LPG consumption in Lithuania, let us approach this gas-tly connection with an open mind and a sense of scientific curiosity, embracing the statistical surprises that await in the complex tapestry of empirical research.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Associates degrees awarded in Management information systems and Liquefied petroleum gas used in Lithuania. 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]]
"Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania"
[[ABSTRACT]]
This paper seeks to investigate the peculiar relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. Despite initial skepticism about the potential correlation, our research team utilized data from the National Center for Education Statistics and the Energy Information Administration to uncover a strong and statistically significant association. The correlation coefficient of 0.9556364 and p < 0.01 for the period from 2011 to 2021 offers compelling evidence of this unexpected connection. We discuss potential explanations for this curious correlation and its implications for the fields of education and energy consumption. Our findings are sure to spark lively discussions, and perhaps a few raised eyebrows, within the academic community.
[[INTRDUCTION]]
The intersection of Management Information Systems (MIS) and Liquefied Petroleum Gas (LPG) may seem like an unlikely duo, akin to mixing oil and water, or in this case, mixing gas and data. However, as researchers, we are constantly on the lookout for unexpected connections, much like accidentally stumbling upon a hidden gem while sifting through mountains of data. Our curious minds were piqued, but skeptical, as we embarked on this journey to explore the enigmatic relationship between the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania.
Some may question the validity of investigating such seemingly disparate variables, but as esteemed scholars, we are no strangers to embracing the unconventional and uncovering hidden patterns, much like uncovering a needle in a haystack or spotting a statistical anomaly within a sea of data points. After all, in the world of research, the path less traveled often leads to the most intriguing discoveries.
The quest to unravel this peculiar correlation led us to delve into the depths of data, armed with our trusty statistical tools and an insatiable thirst for knowledge. We meticulously gathered information from the National Center for Education Statistics and the Energy Information Administration, meticulously sifting through countless datasets with the precision of a forensic scientist analyzing evidence.
As we toiled through the data, navigating through the labyrinth of numbers and variables, we were met with an unexpected revelation – a correlation coefficient of 0.9556364, with a p-value less than 0.01. It was a moment of sheer astonishment, akin to stumbling upon a statistical unicorn, as we realized the magnitude of this association. This statistical strength left no room for doubt, prompting us to delve deeper into the potential implications and explanations for this mysteriously robust connection.
In the subsequent sections of this paper, we will dissect the intricacies of this unforeseen linkage, teasing apart potential causal mechanisms and shedding light on the implications for both the realms of education and energy consumption. Brace yourselves for a journey through the labyrinth of statistical significance, sprinkled with a dash of scholarly conjecture and a pinch of wry academic humor. Our findings are not only bound to raise eyebrows but may also ignite a lively symphony of scholarly discourse, akin to the collision of particles in a research laboratory, as we unravel this gas-tly connection between MIS degrees and LPG consumption in Lithuania.
[[RESULTS]]
The statistical analysis of the relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania revealed a striking correlation coefficient of 0.9556364. This near-perfect correlation would make even the most stoic statistician crack a smile, or at least raise an eyebrow in disbelief. The coefficient of determination (r-squared) further confirmed the robustness of this association, standing at a formidable 0.9132410. It seems that these two variables are intertwined in a dance of statistical significance, waltzing together in a manner that defies conventional wisdom.
Furthermore, the p-value of less than 0.01 provided compelling evidence to reject the null hypothesis that there is no relationship between MIS degrees and LPG consumption. In other words, the likelihood of such a strong association occurring by chance is as rare as finding a four-leaf clover in a field of data points. The stars seemed to have aligned, or perhaps the data points aligned, to unveil this curious connection between the academic realm of MIS and the energy domain of LPG consumption in Lithuania.
To visually encapsulate this astonishing discovery, we present Fig. 1, a scatterplot that vividly illustrates the remarkably strong correlation between the number of associates degrees awarded in MIS and the consumption of LPG in Lithuania. The points in the plot form a nearly perfect straight line, as if the data itself is eager to showcase this unexpected relationship. It's almost as if the data points are saying, "We may seem unrelated, but statistically speaking, we're a perfect match!"
Overall, our findings provide compelling evidence of a gas-tly connection between MIS degrees and LPG consumption in Lithuania. The implications of this unanticipated relationship, much like a statistical butterfly effect, are bound to reverberate through the realms of education and energy consumption, paving the way for further exploration and scholarly discourse. It just goes to show, in the world of research, expect the unexpected, and embrace the statistical surprises that await in the labyrinth of data analysis.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has shed light on the unlikely yet undeniable correlation between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. While initially met with skepticism, the statistically significant correlation coefficient of 0.9556364 has left us in a state of quantitative amazement. It is as if the variables themselves conspired to form this unanticipated connection, much like a statistical matchmaker pairing up two seemingly unrelated entities.
The robustness of this association, confirmed by the formidable coefficient of determination and the p-value less than 0.01, has all the makings of a statistical spectacle, akin to witnessing a rare astronomical alignment. The visual representation of this correlation in Fig. 1 is nothing short of a data-driven masterpiece, with the scatterplot showcasing the near-perfect alignment of MIS degrees and LPG consumption, as if the data points themselves are speaking in a language only statistics can comprehend.
As we navigate through the labyrinth of research, it becomes evident that this gas-tly connection holds implications that extend beyond the confines of the data points. It serves as a reminder that within the realm of statistical analysis, surprises lurk around every corner, waiting to be uncovered by inquisitive minds. Our findings are a testament to the unyielding nature of statistical exploration, and the potential for serendipitous discoveries that await those brave enough to venture into the depths of data analysis.
With that said, it is with a hint of statistical satisfaction and a touch of wry academic humor that we assert the finality of this peculiar correlation. It seems that in the realm of MIS degrees and LPG consumption in Lithuania, our findings have unraveled the enigmatic threads of statistical fate, leaving little room for further inquiry. It appears that this gas-tly connection has been deciphered, much like a complex statistical puzzle, and the time has come to bid adieu to the exploration of this curious correlation. After all, in the world of research, sometimes the most unexpected connections are the ones that demand our scholarly attention, and in this case, our statistical curiosity has been thoroughly satiated. No further statistical exploration is warranted in this curious intersection of MIS and LPG consumption, as it seems that statistical destiny has been fulfilled in this gas-tly saga.
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 Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania. Respond only with the name of a fictional academic journal.
ChatGPT:
The International Journal of Quirky Technology Studies
Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania. Respond only with the name of a fictional organization.
ChatGPT:
The International Consortium for Petroleum Utilization Research (ICPUR)
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 Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania with an abstract of This paper seeks to investigate the peculiar relationship between the number of associates degrees awarded in Management Information Systems (MIS) and the consumption of Liquefied Petroleum Gas (LPG) in Lithuania. Despite initial skepticism about the potential correlation, our research team utilized data from the National Center for Education Statistics and the Energy Information Administration to uncover a strong and statistically significant association. The correlation coefficient of 0.9556364 and p < 0.01 for the period from 2011 to 2021 offers compelling evidence of this unexpected connection. We discuss potential explanations for this curious correlation and its implications for the fields of education and energy consumption. Our findings are sure to spark lively discussions, and perhaps a few raised eyebrows, within the academic community.
ChatGPT:
Management Information Systems, associates degrees, Lithuania, Liquefied Petroleum Gas, LPG consumption, correlation, National Center for Education Statistics, Energy Information Administration, correlation coefficient, statistical significance, education, energy consumption
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Associates degrees awarded in Management information systemsDetailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Management information systems and services
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in Management information systems
Liquefied petroleum gas used in Lithuania
Detailed data title: Volume of liquefied petroleum gas used consumed in Lithuania in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Liquefied petroleum gas used in Lithuania
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 = 0.9132410 (Coefficient of determination)
This means 91.3% of the change in the one variable (i.e., Liquefied petroleum gas used in Lithuania) is predictable based on the change in the other (i.e., Associates degrees awarded in Management information systems) over the 11 years from 2011 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.5E-6. 0.0000044793627590334510000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.96 in 0.00045% of random cases. Said differently, if you correlated 223,246 random variables You don't actually need 223 thousand 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 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.
[ 0.83, 0.99 ] 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.
| 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Associates degrees awarded in Management information systems (Degrees awarded) | 1244 | 1164 | 1085 | 1176 | 987 | 935 | 953 | 921 | 943 | 854 | 766 |
| Liquefied petroleum gas used in Lithuania (Million Barrels/Day) | 6.26027 | 6.08743 | 5.71507 | 5.46849 | 5.15068 | 5.03825 | 4.93151 | 4.63288 | 4.66575 | 4.18579 | 3.97808 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([1244,1164,1085,1176,987,935,953,921,943,854,766,])
array_2 = np.array([6.26027,6.08743,5.71507,5.46849,5.15068,5.03825,4.93151,4.63288,4.66575,4.18579,3.97808,])
array_1_name = "Associates degrees awarded in Management information systems"
array_2_name = "Liquefied petroleum gas used in Lithuania"
# 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:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Associates degrees awarded in Management information systems
- Line chart for only Liquefied petroleum gas used in Lithuania
- AI-generated correlation image
- The spurious research paper: Management Information Systems: A Gas-tly Connection to Liquefied Petroleum in Lithuania
Cheers to you for rating this correlation!
Correlation ID: 3201 · Black Variable ID: 1216 · Red Variable ID: 24642
