Spurious correlation #3,174 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in Nursing and the second variable is Liquefied petroleum gas used in Sudan. The chart goes from 2011 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in Nursing and the second variable is Liquefied petroleum gas used in Sudan. The chart goes from 2011 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of nursing graduates rose, so did their skill in handling gas, leading to lower rates of improper usage and more efficient LPG utilization. In other words, they were able to LPG-aspirate the best practices and didn't propane their knowledge. This created a real gas-tronomical shift in Sudan's LPG industry!

^{Show image generation prompt} Model: dalle-3
Prompt: An image that looks like it is a scene from 'Star Wars': In a bustling hospital in Sudan, nurses with freshly earned Associate's degrees in Nursing are seen tending to patients with ease and confidence. The efficient patient care they provide has visibly reduced stress levels among the healthcare workers. In the background, workers are seen carrying bottles of Liquefied Petroleum Gas (LPG) to fill the relaxing bubble baths that have become increasingly popular among the hospital staff seeking to unwind after a long day. Enhance the visual depiction of this prompt: Create an image that resembles a scene from 'Star Wars' set in a futuristic hospital on a desert planet. The nurses, adorned in advanced medical uniforms, possess an air of empathy and capability as they tend to patients with advanced medical technology. The hospital environment is a harmonious blend of futuristic architecture and desert landscape, with sleek medical equipment seamlessly integrated into the environment. In the background, workers are depicted transporting containers of Liquefied Petroleum Gas (LPG) to fill luxurious, advanced bubble baths, creating an otherworldly atmosphere of relaxation amidst the advanced medical care. 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 Nursing, registered nurse and other and Liquefied petroleum gas used in Sudan. 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: Oragami An image that looks like it is a scene from 'Star Wars' inspired by bauhaus Futuristic Minimalism
ChatGPT: An image that looks like it is a scene from 'Star Wars'

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 Nursing, registered nurse and other and Liquefied petroleum gas used in Sudan, in the following situation: Because the increase in Associates degrees in nursing led to more efficient patient care, resulting in reduced stress levels for healthcare workers, leading to an increase in demand for LPG for relaxing bubble baths in Sudan.. Keep the description simple.
ChatGPT: In a bustling hospital in Sudan, nurses with freshly earned Associate's degrees in Nursing are seen tending to patients with ease and confidence. The efficient patient care they provide has visibly reduced stress levels among the healthcare workers. In the background, workers are seen carrying bottles of Liquefied Petroleum Gas (LPG) to fill the relaxing bubble baths that have become increasingly popular among the hospital staff seeking to unwind after a long day.

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: [ An image that looks like it is a scene from 'Star Wars' ] and depicting this scene: In a bustling hospital in Sudan, nurses with freshly earned Associate's degrees in Nursing are seen tending to patients with ease and confidence. The efficient patient care they provide has visibly reduced stress levels among the healthcare workers. In the background, workers are seen carrying bottles of Liquefied Petroleum Gas (LPG) to fill the relaxing bubble baths that have become increasingly popular among the hospital staff seeking to unwind after a long day. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image that looks like it is a scene from 'Star Wars': In a bustling hospital in Sudan, nurses with freshly earned Associate's degrees in Nursing are seen tending to patients with ease and confidence. The efficient patient care they provide has visibly reduced stress levels among the healthcare workers. In the background, workers are seen carrying bottles of Liquefied Petroleum Gas (LPG) to fill the relaxing bubble baths that have become increasingly popular among the hospital staff seeking to unwind after a long day. Enhance the visual depiction of this prompt: Create an image that resembles a scene from 'Star Wars' set in a futuristic hospital on a desert planet. The nurses, adorned in advanced medical uniforms, possess an air of empathy and capability as they tend to patients with advanced medical technology. The hospital environment is a harmonious blend of futuristic architecture and desert landscape, with sleek medical equipment seamlessly integrated into the environment. In the background, workers are depicted transporting containers of Liquefied Petroleum Gas (LPG) to fill luxurious, advanced bubble baths, creating an otherworldly atmosphere of relaxation amidst the advanced medical care.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how increases in Associates degrees awarded in Nursing, registered nurse and other positively influenced Liquefied petroleum gas used in Sudan. Include one good pun.

AI academic paper

(Because p < 0.01)

A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan

The Journal of Eclectic Nurse Research

Jan 2024

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

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

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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Nursing, registered nurse and other and Liquefied petroleum gas used in Sudan. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
"A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan"

[[ABSTRACT]]
This study examines the fascinating, albeit unexpected, relationship between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the country of Sudan. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our research team delved into this curious correlation. The findings reveal a statistically significant correlation coefficient of 0.8689503 and p < 0.01 for the years 2011 to 2021, provoking curiosity and amusement alike. Our study sheds light on this peculiar interplay, offering insights that ignite further contemplation and, dare we say, fuel for thought.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The connection between Associates degrees awarded in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the sweltering deserts of Sudan may seem as unlikely as finding a polar bear in a penguin colony, but our research has unveiled a correlation that is as intriguing as it is unexpected.
As nursing students toil away in the classrooms, clinics, and hospitals, little do they know that the twinkling of their nursing pins could be fueling the demand for LPG in distant lands. Likewise, the citizens of Sudan, going about their daily routines, may be blissfully unaware that the flickering flame of their cooking stoves shares a mysterious connection with the diligent pursuits of nursing education.
This study aims to unravel this enigma, shining a spotlight on the entwined fates of nursing education and the utilization of LPG in Sudan. Leveraging robust data from the National Center for Education Statistics and the Energy Information Administration, our research team seeks to untangle the web of causality that links these seemingly disparate domains.
While the findings of this study may raise eyebrows and elicit curious smirks, they also hold promise in offering insights that provide fertile ground for further exploration. So, let us embark on this intellectual adventure, peering into the unexpected nexus of nursing education and LPG consumption in Sudan, and let the sparks of knowledge illuminate our path forward.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Numerous studies have attempted to unravel the mysteries of the healthcare education sector and energy consumption patterns. Smith et al. (2015) found that the awarding of Associates degrees in Nursing holds a significant place in the realm of healthcare workforce development, contributing to the nurturing of competent nursing professionals. Doe and Jones (2017) highlighted the pivotal role of Liquefied Petroleum Gas (LPG) in meeting energy needs, particularly in regions with limited access to traditional energy sources. These serious studies offer a foundational understanding of the independent dynamics of nursing education and LPG utilization.

Moving beyond the scholarly pursuits, works such as "Nursing Education and LPG: An Unlikely Romance" by Lorem Ipsum (2020) and "Cooking Up a Storm: The LPG Connection" by Ipsum Lorem (2018) peek into the intricacies of this unlikely relationship. The former delves into the motivations driving nursing students towards their educational pursuits, suggesting a potential ripple effect on LPG consumption. Meanwhile, the latter adopts a culinary lens to explore the impact of LPG utilization on household activities, hinting at a possible indirect influence of nursing education on the demand for LPG.

As if academic and non-fiction works were not enough, even fiction seems to dabble in the enigmatic connection between nursing education and LPG usage. Titles such as "The LPG Nurse Chronicles" by J.K. Rowling and "Gasping for Knowledge: A Nursing Tale" by George R.R. Martin add a whimsical touch to this perplexing correlation, blurring the lines between reality and imagination.

Furthermore, intriguing musings from social media posts have made their way into the discourse, with users speculating on the unexpected bond between the healthcare academic landscape and household energy preferences. "Just realized that the number of nursing degrees awarded is positively correlated with LPG usage in Sudan. Who knew nursing education had such explosive implications?" tweeted @NurseResearcher247, catalyzing a wave of bemused responses and emojis galore.

In summary, a diverse array of literature, ranging from scholarly articles to fictional narratives and social media snippets, sheds light on the unanticipated relationship between Associates degrees awarded in Nursing and LPG usage in Sudan. These sources, while differing in their tones and intents, collectively contribute to a comprehensive exploration of this unconventional correlation, inviting readers to ponder, chuckle, and perhaps be slightly befuddled by the intriguing interplay between these seemingly disparate domains.

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 Associates degrees awarded in Nursing, registered nurse and other and Liquefied petroleum gas used in Sudan. Make lots of jokes, goofy observations, and puns.

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]]
"A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan"

[[ABSTRACT]]
This study examines the fascinating, albeit unexpected, relationship between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the country of Sudan. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our research team delved into this curious correlation. The findings reveal a statistically significant correlation coefficient of 0.8689503 and p < 0.01 for the years 2011 to 2021, provoking curiosity and amusement alike. Our study sheds light on this peculiar interplay, offering insights that ignite further contemplation and, dare we say, fuel for thought.

[[INTRODUCTION]]
The connection between Associates degrees awarded in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the sweltering deserts of Sudan may seem as unlikely as finding a polar bear in a penguin colony, but our research has unveiled a correlation that is as intriguing as it is unexpected.
As nursing students toil away in the classrooms, clinics, and hospitals, little do they know that the twinkling of their nursing pins could be fueling the demand for LPG in distant lands. Likewise, the citizens of Sudan, going about their daily routines, may be blissfully unaware that the flickering flame of their cooking stoves shares a mysterious connection with the diligent pursuits of nursing education.
This study aims to unravel this enigma, shining a spotlight on the entwined fates of nursing education and the utilization of LPG in Sudan. Leveraging robust data from the National Center for Education Statistics and the Energy Information Administration, our research team seeks to untangle the web of causality that links these seemingly disparate domains.
While the findings of this study may raise eyebrows and elicit curious smirks, they also hold promise in offering insights that provide fertile ground for further exploration. So, let us embark on this intellectual adventure, peering into the unexpected nexus of nursing education and LPG consumption in Sudan, and let the sparks of knowledge illuminate our path forward.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To embark on our quest to unravel the mysterious connection between Associates degrees in Nursing and Liquefied Petroleum Gas (LPG) usage in Sudan, our research team employed a series of methodological maneuvers that would make even the most agile acrobat envious.

Firstly, we scoured the vast expanse of the internet, much like intrepid explorers on a digital safari, in search of relevant data pertaining to the awarding of Associates degrees in Nursing. The National Center for Education Statistics proved to be a veritable treasure trove of information, providing us with a wealth of data spanning the years 2011 to 2021. We then diligently combed through this trove, separating the nuggets of useful information from the proverbial pebbles of irrelevant data, and polished them to a high sheen for our analysis.

Akin to alchemists transmuting base metals into precious gold, we meticulously extracted data on LPG usage in Sudan from the Energy Information Administration, striving to unveil the hidden connections that lie beneath the surface. We gathered consumption figures, distribution patterns, and market trends, sifting through the data to discern the telltale signs of correlation with the issuance of Nursing Associates degrees.

With our pockets brimming with freshly gathered data, we applied statistical analyses that would make even the most formidable mathematicians nod in approval. Employing correlation coefficients and regression analyses, we sought to quantify the degree of association between these seemingly disparate domains, unveiling the tantalizing threads that weave them together.

In our pursuit of scientific enlightenment, we employed a variety of analytical tools and software, creating a tapestry of data visualizations that would put even the most renowned artists to shame. Through scatter plots, heat maps, and multidimensional projections, we endeavored to reveal the intricate dance of numbers that underlies the correlation between Nursing Associates degrees and LPG usage in Sudan.

Furthermore, in our efforts to ensure the robustness and reliability of our findings, we conducted sensitivity analyses and validation checks, rigorously testing the stability of our results under different scenarios and methodologies.

Finally, we put our findings to the test, subjecting them to peer review and scrutiny, inviting fellow scholars and experts to peer through the lens of our study and offer their own perspectives on the intriguing correlation we had unveiled.

In this manner, armed with a blend of tenacity, dexterity, and a touch of scholarly flair, our research team endeavored to unravel the enigmatic link between Nursing Associates degrees and LPG usage in Sudan, shedding light on a correlation that sparkles with both intrigue and scholarly rigor.

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 Associates degrees awarded in Nursing, registered nurse and other and Liquefied petroleum gas used in Sudan. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan"

[[ABSTRACT]]
This study examines the fascinating, albeit unexpected, relationship between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the country of Sudan. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our research team delved into this curious correlation. The findings reveal a statistically significant correlation coefficient of 0.8689503 and p < 0.01 for the years 2011 to 2021, provoking curiosity and amusement alike. Our study sheds light on this peculiar interplay, offering insights that ignite further contemplation and, dare we say, fuel for thought.

[[LITERATURE REVIEW]]
Numerous studies have attempted to unravel the mysteries of the healthcare education sector and energy consumption patterns. Smith et al. (2015) found that the awarding of Associates degrees in Nursing holds a significant place in the realm of healthcare workforce development, contributing to the nurturing of competent nursing professionals. Doe and Jones (2017) highlighted the pivotal role of Liquefied Petroleum Gas (LPG) in meeting energy needs, particularly in regions with limited access to traditional energy sources. These serious studies offer a foundational understanding of the independent dynamics of nursing education and LPG utilization.
Moving beyond the scholarly pursuits, works such as "Nursing Education and LPG: An Unlikely Romance" by Lorem Ipsum (2020) and "Cooking Up a Storm: The LPG Connection" by Ipsum Lorem (2018) peek into the intricacies of this unlikely relationship. The former delves into the motivations driving nursing students towards their educational pursuits, suggesting a potential ripple effect on LPG consumption. Meanwhile, the latter adopts a culinary lens to explore the impact of LPG utilization on household activities, hinting at a possible indirect influence of nursing education on the demand for LPG.
As if academic and non-fiction works were not enough, even fiction seems to dabble in the enigmatic connection between nursing education and LPG usage. Titles such as "The LPG Nurse Chronicles" by J.K. Rowling and "Gasping for Knowledge: A Nursing Tale" by George R.R. Martin add a whimsical touch to this perplexing correlation, blurring the lines between reality and imagination.
Furthermore, intriguing musings from social media posts have made their way into the discourse, with users speculating on the unexpected bond between the healthcare academic landscape and household energy preferences. "Just realized that the number of nursing degrees awarded is positively correlated with LPG usage in Sudan. Who knew nursing education had such explosive implications?" tweeted @NurseResearcher247, catalyzing a wave of bemused responses and emojis galore.
In summary, a diverse array of literature, ranging from scholarly articles to fictional narratives and social media snippets, sheds light on the unanticipated relationship between Associates degrees awarded in Nursing and LPG usage in Sudan. These sources, while differing in their tones and intents, collectively contribute to a comprehensive exploration of this unconventional correlation, inviting readers to ponder, chuckle, and perhaps be slightly befuddled by the intriguing interplay between these seemingly disparate domains.

[[RESULTS]]
The painstaking analysis of the data from the National Center for Education Statistics and the Energy Information Administration unveiled a statistically significant correlation coefficient of 0.8689503, with an r-squared of 0.7550746 and a p-value less than 0.01 for the years 2011 to 2021. This robust statistical evidence indicates a striking association between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the arid expanse of Sudan.
It is remarkable to consider the implications of this correlation. One could envision a scenario where a nursing student, diligently studying for their degree, unwittingly contributes to the demand for LPG on the other side of the world. Similarly, a household in Sudan, utilizing LPG for their cooking needs, unknowingly becomes a node in this surprising nexus with the field of nursing education.
Fig. 1, a scatterplot, starkly depicts the strong correlation between the number of Nursing Associates degrees awarded and the consumption of LPG in Sudan, a connection that is as captivating as it is unexpected. The plot vividly showcases the consistent trend over the studied period, leaving little doubt about the robustness of the relationship.
The results of this study not only provide a thought-provoking revelation but also open up a realm of intriguing possibilities for further exploration. The intersection of these seemingly disparate domains of nursing education and LPG consumption in Sudan beckons for deeper investigations to unearth the underlying mechanisms driving this unexpected connection.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of this study astonishingly affirm the findings of previous research that hinted at a link between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in Sudan. The substantial correlation coefficient of 0.8689503 and a p-value less than 0.01 underscore the robustness of this unexpected relationship. This correlation is indeed no mere flash in the pan – it seems to sizzle with statistical significance, sparking further contemplation among researchers and casual readers alike.

We must harken back to the tongue-in-cheek musings in the literature review that speculated on the possibility of a nursing student igniting demand for LPG from afar. It turns out that this playful proposition is not merely a flight of fancy but rather a compelling reality supported by rigorous statistical evidence. Indeed, the image of a nursing student exerting an unforeseen influence on LPG consumption is not only amusing but also an enticing avenue for scholarly exploration.

Furthermore, the unexpected correlations observed in this study may provide fodder for additional research endeavors. “Cooking Up a Storm: The LPG Connection” by Ipsum Lorem (2018) and the fictional work "The LPG Nurse Chronicles" by J.K. Rowling, which were playfully alluded to in the literature review, in some sense foretold the curious patterns uncovered in this study. These seemingly whimsical titles now carry an unmistakable weight of significance, challenging readers to consider the profound implications of this unlikely nexus between nursing education and household energy preferences.

The robust findings of this study elicit a myriad of questions and avenues for further inquiry. What underlying mechanisms drive this unexpected correlation? How might the demand for nursing education interact with household energy preferences in Sudan? Delving deeper into these questions may not only unravel the enigmatic connection between Associates degrees in Nursing and LPG usage but also offer valuable insights into the interplay between education and household behaviors.

In conclusion, the results of this study illuminate a surprising and significant association between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in Sudan. This unexpected correlation not only validates the musings and speculations peppered throughout the literature review but also invites researchers to kindle further explorations into this hitherto overlooked relationship.

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 Associates degrees awarded in Nursing, registered nurse and other and Liquefied petroleum gas used in Sudan. Make lots of jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan"

[[ABSTRACT]]
This study examines the fascinating, albeit unexpected, relationship between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the country of Sudan. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our research team delved into this curious correlation. The findings reveal a statistically significant correlation coefficient of 0.8689503 and p < 0.01 for the years 2011 to 2021, provoking curiosity and amusement alike. Our study sheds light on this peculiar interplay, offering insights that ignite further contemplation and, dare we say, fuel for thought.

[[INTRDUCTION]]
The connection between Associates degrees awarded in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the sweltering deserts of Sudan may seem as unlikely as finding a polar bear in a penguin colony, but our research has unveiled a correlation that is as intriguing as it is unexpected.
As nursing students toil away in the classrooms, clinics, and hospitals, little do they know that the twinkling of their nursing pins could be fueling the demand for LPG in distant lands. Likewise, the citizens of Sudan, going about their daily routines, may be blissfully unaware that the flickering flame of their cooking stoves shares a mysterious connection with the diligent pursuits of nursing education.
This study aims to unravel this enigma, shining a spotlight on the entwined fates of nursing education and the utilization of LPG in Sudan. Leveraging robust data from the National Center for Education Statistics and the Energy Information Administration, our research team seeks to untangle the web of causality that links these seemingly disparate domains.
While the findings of this study may raise eyebrows and elicit curious smirks, they also hold promise in offering insights that provide fertile ground for further exploration. So, let us embark on this intellectual adventure, peering into the unexpected nexus of nursing education and LPG consumption in Sudan, and let the sparks of knowledge illuminate our path forward.

[[RESULTS]]
The painstaking analysis of the data from the National Center for Education Statistics and the Energy Information Administration unveiled a statistically significant correlation coefficient of 0.8689503, with an r-squared of 0.7550746 and a p-value less than 0.01 for the years 2011 to 2021. This robust statistical evidence indicates a striking association between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the arid expanse of Sudan.
It is remarkable to consider the implications of this correlation. One could envision a scenario where a nursing student, diligently studying for their degree, unwittingly contributes to the demand for LPG on the other side of the world. Similarly, a household in Sudan, utilizing LPG for their cooking needs, unknowingly becomes a node in this surprising nexus with the field of nursing education.
Fig. 1, a scatterplot, starkly depicts the strong correlation between the number of Nursing Associates degrees awarded and the consumption of LPG in Sudan, a connection that is as captivating as it is unexpected. The plot vividly showcases the consistent trend over the studied period, leaving little doubt about the robustness of the relationship.
The results of this study not only provide a thought-provoking revelation but also open up a realm of intriguing possibilities for further exploration. The intersection of these seemingly disparate domains of nursing education and LPG consumption in Sudan beckons for deeper investigations to unearth the underlying mechanisms driving this unexpected connection.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, the findings of this study illuminate a connection between Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in Sudan that is as unexpected as stumbling upon a camel at a ski resort. The robust statistical evidence uncovers a correlation that sparks curiosity and amusement alike, prompting one to ponder the improbable interplay of nursing education and LPG demand in the sweltering deserts of Sudan.

The implications of this correlation are as surprising as finding a cactus in an ice cream parlor. One can't help but envision a scenario where a nursing student, diligently studying for their degree, unknowingly kindles the demand for LPG on the other side of the globe. Similarly, a household in Sudan, delighting in the convenience of LPG for their cooking needs, unwittingly becomes a cog in this unexpected nexus with the field of nursing education.

Fig. 1, the scatterplot, vividly captures this striking correlation, depicting a trend as clear as a mirage in the desert. The consistent relationship between the number of Nursing Associates degrees awarded and LPG consumption in Sudan leaves little doubt about the solidity of this surprising linkage. It's like seeing two unlikely acquaintances become the best of friends, leaving everyone scratching their heads.

In light of these revelations, one can't help but be buoyed by a chuckle and a spark of curiosity, igniting further contemplation and, dare we say, fuel for thought. The unexpected interplay of nursing education and LPG consumption in Sudan beckons for deeper investigations, akin to unraveling a mystery wrapped in an enigma deep-fried in surprise.

Therefore, we assert that no further research in this area is required, as the findings of this study are as delightful and unforeseen as finding a diamond in a coal mine. Let us bask in the whimsy of this correlation, leaving the door open for other equally delightful and unexpected research explorations to take the stage.

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 A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Eclectic Nurse Research

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 A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Global Energy and Nursing Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan with an abstract of This study examines the fascinating, albeit unexpected, relationship between the awarding of Associates degrees in Nursing and the consumption of Liquefied Petroleum Gas (LPG) in the country of Sudan. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our research team delved into this curious correlation. The findings reveal a statistically significant correlation coefficient of 0.8689503 and p < 0.01 for the years 2011 to 2021, provoking curiosity and amusement alike. Our study sheds light on this peculiar interplay, offering insights that ignite further contemplation and, dare we say, fuel for thought.

ChatGPT:

associates degrees in nursing, nursing education, nursing training, LPG usage, Sudan, correlation, statistical analysis, National Center for Education Statistics, Energy Information Administration, relationship between education and 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 Nursing
Detailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Nursing, registered nurse and other
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in Nursing

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

Correlation r = 0.8689503 (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 = 0.7550746 (Coefficient of determination)
This means 75.5% of the change in the one variable (i.e., Liquefied petroleum gas used in Sudan) is predictable based on the change in the other (i.e., Associates degrees awarded in Nursing) over the 11 years from 2011 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00052.^Show 0.0005156205223082216000000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.87 in 0.052% of random cases. Said differently, if you correlated 1,939 random variables^Note Which I absolutely did.
with the same 10 degrees of freedom, ^Note 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.

[ 0.56, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Associates degrees awarded in Nursing (Degrees awarded)	83021	84567	86377	86378	82904	78518	77051	77658	81070	82860	84117
Liquefied petroleum gas used in Sudan (Million Barrels/Day)	12.1108	13.8419	14.8633	15.0588	8	9	8	8	8.67616	11.9496	11.9496

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^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([83021,84567,86377,86378,82904,78518,77051,77658,81070,82860,84117,])
array_2 = np.array([12.1108,13.8419,14.8633,15.0588,8,9,8,8,8.67616,11.9496,11.9496,])
array_1_name = "Associates degrees awarded in Nursing"
array_2_name = "Liquefied petroleum gas used in Sudan"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

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

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Associates degrees awarded in Nursing
Line chart for only Liquefied petroleum gas used in Sudan
AI-generated correlation image
The spurious research paper: A Sparkling Connection: Exploring the Correlation Between Nursing Associates Degrees and Liquefied Petroleum Gas Usage in Sudan

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Correlation ID: 3174 · Black Variable ID: 1235 · Red Variable ID: 24948


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