Download png, svg
AI explanation
The smog in Bellingham inadvertently carried with it tiny, industrious particles that sparked a newfound interest in clean fuel alternatives. It's like the saying goes, when there's smog in Bellingham, there's a gas opportunity in Kyrgyzstan!
Model: dalle-3
Prompt: [ Concept art ] A panoramic view of the city skyline of Bellingham, Washington, is shown in the background, with a thick haze of smog enveloping the buildings. The sky is a muted blend of gray and brown tones, creating an eerie atmosphere. In the foreground, a family in traditional Kyrgyz attire is gathered around a portable liquefied petroleum gas stove, preparing dinner outdoors. The warm glow of the stove contrasts with the smog-filled backdrop, symbolizing the contrast between traditional and clean fuel alternatives. The scene captures the global impact of pollution and the growing importance of sustainable energy sources. 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: Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan. 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: Concept art An image that looks like it is a scene from 'Star Wars' Woodblock painting Cute cartoon Cybernetic art
ChatGPT: Concept art
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 Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan, in the following situation: The smog in Bellingham inadvertently carried with it tiny, industrious particles that sparked a newfound interest in clean fuel alternatives. It's like the saying goes, when there's smog in Bellingham, there's a gas opportunity in Kyrgyzstan!. Keep the description simple.
ChatGPT: In Bellingham, Washington, the city skyline is shrouded in a hazy smog, while in Kyrgyzstan, a family is using a portable liquefied petroleum gas stove to prepare dinner outdoors. The smog from Bellingham carries tiny particles across the globe, sparking a newfound interest in clean fuel alternatives, symbolized by the use of LPG in Kyrgyzstan.
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: [ Concept art ] and depicting this scene: In Bellingham, Washington, the city skyline is shrouded in a hazy smog, while in Kyrgyzstan, a family is using a portable liquefied petroleum gas stove to prepare dinner outdoors. The smog from Bellingham carries tiny particles across the globe, sparking a newfound interest in clean fuel alternatives, symbolized by the use of LPG in Kyrgyzstan. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ Concept art ] A panoramic view of the city skyline of Bellingham, Washington, is shown in the background, with a thick haze of smog enveloping the buildings. The sky is a muted blend of gray and brown tones, creating an eerie atmosphere. In the foreground, a family in traditional Kyrgyz attire is gathered around a portable liquefied petroleum gas stove, preparing dinner outdoors. The warm glow of the stove contrasts with the smog-filled backdrop, symbolizing the contrast between traditional and clean fuel alternatives. The scene captures the global impact of pollution and the growing importance of sustainable energy sources.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how increases in Air pollution in Bellingham, Washington positively influenced Liquefied petroleum gas used in Kyrgyzstan. Include one good pun.
AI academic paper
 |
When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan The Journal of Ecological Connections and Global Impacts 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 Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title punny if you can come up with clever pun. If not, make it sound serious.
Your research team used data from Environmental Protection Agency and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.8043502 and p < 0.01 for 1994 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]]
When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan
[[ABSTRACT]]
This paper delves into the seemingly unrelated but surprisingly connected realms of air quality in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. Leveraging data from the Environmental Protection Agency and the Energy Information Administration, we embarked on a quest to unravel the mysterious correlation between these two disparate entities.
Our findings revealed a remarkable correlation coefficient of 0.8043502 and a p-value less than 0.01 for the years 1994 to 2021. This statistical evidence not only supports our hypothesis but also prompts a chuckle or two like a good dad joke at a barbecue.
In conclusion, this study highlights the unexpected interconnectedness of seemingly unrelated phenomena. As we analyze the pungent link between air pollution in Bellingham and LPG use in Kyrgyzstan, we invite readers to join us in embracing the humorous side of scientific discovery. After all, what's a research paper without a little gas-related humor?
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 Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Here is the title and abstract of the paper:
[[TITLE]]
When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan
[[ABSTRACT]]
This paper delves into the seemingly unrelated but surprisingly connected realms of air quality in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. Leveraging data from the Environmental Protection Agency and the Energy Information Administration, we embarked on a quest to unravel the mysterious correlation between these two disparate entities.
Our findings revealed a remarkable correlation coefficient of 0.8043502 and a p-value less than 0.01 for the years 1994 to 2021. This statistical evidence not only supports our hypothesis but also prompts a chuckle or two like a good dad joke at a barbecue.
In conclusion, this study highlights the unexpected interconnectedness of seemingly unrelated phenomena. As we analyze the pungent link between air pollution in Bellingham and LPG use in Kyrgyzstan, we invite readers to join us in embracing the humorous side of scientific discovery. After all, what's a research paper without a little gas-related humor?
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
As we delve into the hazy world of air pollution in Bellingham, Washington, and the utilization of liquefied petroleum gas (LPG) in the picturesque landscapes of Kyrgyzstan, we embark on a journey filled with unexpected twists and turns, much like a thrilling roller-coaster ride.
The correlation between these two seemingly disconnected subjects may seem as puzzling as trying to understand a gas leak in the dark - but fear not, for we have shed light on this enigma.
Air pollution and LPG usage have been discussed in silos, much like two distant relatives at a family gathering who never quite find a common topic. It’s almost as if they were oil and water, but what we discovered is that they actually do mix.
As we delve deep into the nitty-gritty of our research, we'll be highlighting some gas-tly puns and dad jokes along the way. Because, let's face it, what's a research paper without a little bit of gaseous humor to lighten the atmosphere?
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 Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan
[[ABSTRACT]]
This paper delves into the seemingly unrelated but surprisingly connected realms of air quality in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. Leveraging data from the Environmental Protection Agency and the Energy Information Administration, we embarked on a quest to unravel the mysterious correlation between these two disparate entities.
Our findings revealed a remarkable correlation coefficient of 0.8043502 and a p-value less than 0.01 for the years 1994 to 2021. This statistical evidence not only supports our hypothesis but also prompts a chuckle or two like a good dad joke at a barbecue.
In conclusion, this study highlights the unexpected interconnectedness of seemingly unrelated phenomena. As we analyze the pungent link between air pollution in Bellingham and LPG use in Kyrgyzstan, we invite readers to join us in embracing the humorous side of scientific discovery. After all, what's a research paper without a little gas-related humor?
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As we delve into the hazy world of air pollution in Bellingham, Washington, and the utilization of liquefied petroleum gas (LPG) in the picturesque landscapes of Kyrgyzstan, we embark on a journey filled with unexpected twists and turns, much like a thrilling roller-coaster ride.
The correlation between these two seemingly disconnected subjects may seem as puzzling as trying to understand a gas leak in the dark - but fear not, for we have shed light on this enigma.
Air pollution and LPG usage have been discussed in silos, much like two distant relatives at a family gathering who never quite find a common topic. It’s almost as if they were oil and water, but what we discovered is that they actually do mix.
As we delve deep into the nitty-gritty of our research, we'll be highlighting some gas-tly puns and dad jokes along the way. Because, let's face it, what's a research paper without a little bit of gaseous humor to lighten the atmosphere?
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The literature on air pollution in Bellingham, Washington and the consumption of liquefied petroleum gas (LPG) in Kyrgyzstan presents a dichotomy of serious research and whimsical inquiry. Smith et al. (2015) examined the adverse health effects of air pollution in urban environments, while Doe and Jones (2018) explored the economic repercussions of LPG usage in developing countries. However, they may have overlooked the potential for some gas-related humor along the way.
In "The Air Pollution in Modern Society," the authors find that particulate matter and nitrogen oxides pose significant risks to public health, but they fail to acknowledge the air of comedy that hovers amidst the pollutants - much like an invisible yet unmistakable scent of a tantalizing dad joke.
Furthermore, "Understanding Global LPG Markets" sheds light on the widespread use of LPG for cooking and heating purposes, yet it neglects to ignite the flame of laughter that could accompany its usage. It feels like a missed opportunity, much like forgetting to turn off the gas stove after cooking a fantastic meal!
Turning toward non-fiction works that offer a ‘breath’ of fresh air in exploring similar themes, we find "The Omnivore's Dilemma" and "This Changes Everything," both of which provide insights into the intersection of environmental issues and energy consumption. Yet, they fail to acknowledge the potential for some ‘heated’ humor that could lighten the atmosphere - much like a well-placed dad joke at a dinner party.
On the fiction side, "The Poisonwood Bible" and "The Wind-Up Bird Chronicle" present environmental and socio-political themes that ‘exhale’ a palpable connection to our research topic. However, they seem to miss the chance to ‘fuel’ our understanding with a touch of levity - much like a failed attempt to light a gas grill at a summer cookout.
Lastly, board games such as "Terraforming Mars" and "Power Grid" offer simulated experiences of environmental management and energy resource allocation. And although these games may not explicitly feature dad jokes, they certainly provide a ‘gassy’ platform for playful banter and humor, akin to a friendly competition fuelled by laughter and strategy.
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 Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Environmental Protection Agency and Energy Information Administration . You used data from 1994 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]]
When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan
[[ABSTRACT]]
This paper delves into the seemingly unrelated but surprisingly connected realms of air quality in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. Leveraging data from the Environmental Protection Agency and the Energy Information Administration, we embarked on a quest to unravel the mysterious correlation between these two disparate entities.
Our findings revealed a remarkable correlation coefficient of 0.8043502 and a p-value less than 0.01 for the years 1994 to 2021. This statistical evidence not only supports our hypothesis but also prompts a chuckle or two like a good dad joke at a barbecue.
In conclusion, this study highlights the unexpected interconnectedness of seemingly unrelated phenomena. As we analyze the pungent link between air pollution in Bellingham and LPG use in Kyrgyzstan, we invite readers to join us in embracing the humorous side of scientific discovery. After all, what's a research paper without a little gas-related humor?
[[INTRODUCTION]]
As we delve into the hazy world of air pollution in Bellingham, Washington, and the utilization of liquefied petroleum gas (LPG) in the picturesque landscapes of Kyrgyzstan, we embark on a journey filled with unexpected twists and turns, much like a thrilling roller-coaster ride.
The correlation between these two seemingly disconnected subjects may seem as puzzling as trying to understand a gas leak in the dark - but fear not, for we have shed light on this enigma.
Air pollution and LPG usage have been discussed in silos, much like two distant relatives at a family gathering who never quite find a common topic. It’s almost as if they were oil and water, but what we discovered is that they actually do mix.
As we delve deep into the nitty-gritty of our research, we'll be highlighting some gas-tly puns and dad jokes along the way. Because, let's face it, what's a research paper without a little bit of gaseous humor to lighten the atmosphere?
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the peculiar correlation between air pollution in Bellingham, Washington, and the utilization of liquefied petroleum gas (LPG) in Kyrgyzstan, we employed a variety of methodological techniques that were as calculated as a precise gas-to-air ratio for an optimal flame. Our data collection predominantly involved mining information from the Environmental Protection Agency and the Energy Information Administration, akin to excavating buried treasure in the vast expanse of the internet. We cast a wide net, encompassing data from 1994 to 2021, allowing us to capture the intricate dance of atmospheric pollutants and LPG consumption over time.
To quantify the level of air pollution in Bellingham, we utilized intricate air quality monitoring data sourced from the pleasingly named Air Quality System (AQS). Our approach was as clear as the air on a brisk autumn day, as we scrutinized various pollutants such as particulate matter, nitrogen dioxide, and sulfur dioxide. We ensured the inclusion of data from multiple monitoring stations across Bellingham, as overlooking any station would have been as tragic as leaving a lone candle unlit in a blackout.
On the other side of the globe, our investigation into LPG usage in Kyrgyzstan involved sifting through copious amounts of energy consumption statistics. The Energy Information Administration’s data on LPG consumption provided a wealth of information, painting a vivid picture of the LPG market in Kyrgyzstan. Much like navigating a labyrinth, we meticulously combed through the labyrinthine dataset to discern patterns and trends, ensuring no statistical stone was unturned.
To establish the connection between the two seemingly disparate entities, we employed robust statistical analyses that were as finely calibrated as a precision gas meter. Our methodology involved employing correlation analysis to quantify the relationship between air pollution in Bellingham and LPG usage in Kyrgyzstan. The statistical software served as our trusty compass, guiding us through the data maze to uncover the elusive link.
Every statistical analysis was accompanied by an equally precise dad joke, ensuring the proceedings remained lighthearted. After all, what’s a research paper without a few puns to keep the atmosphere as buoyant as a helium balloon?
Overall, our methodology was akin to a well-choreographed symphony, harmonizing meticulous data collection, rigorous statistical analysis, and a sprinkling of gaseous humor to lighten the scholarly atmosphere.
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 Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Environmental Protection Agency and Energy Information Administration .
For the time period 1994 to 2021, you found a correlation 0.8043502, r-squared of 0.6469793, 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]]
When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan
[[ABSTRACT]]
This paper delves into the seemingly unrelated but surprisingly connected realms of air quality in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. Leveraging data from the Environmental Protection Agency and the Energy Information Administration, we embarked on a quest to unravel the mysterious correlation between these two disparate entities.
Our findings revealed a remarkable correlation coefficient of 0.8043502 and a p-value less than 0.01 for the years 1994 to 2021. This statistical evidence not only supports our hypothesis but also prompts a chuckle or two like a good dad joke at a barbecue.
In conclusion, this study highlights the unexpected interconnectedness of seemingly unrelated phenomena. As we analyze the pungent link between air pollution in Bellingham and LPG use in Kyrgyzstan, we invite readers to join us in embracing the humorous side of scientific discovery. After all, what's a research paper without a little gas-related humor?
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
As we delve into the hazy world of air pollution in Bellingham, Washington, and the utilization of liquefied petroleum gas (LPG) in the picturesque landscapes of Kyrgyzstan, we embark on a journey filled with unexpected twists and turns, much like a thrilling roller-coaster ride.
The correlation between these two seemingly disconnected subjects may seem as puzzling as trying to understand a gas leak in the dark - but fear not, for we have shed light on this enigma.
Air pollution and LPG usage have been discussed in silos, much like two distant relatives at a family gathering who never quite find a common topic. It’s almost as if they were oil and water, but what we discovered is that they actually do mix.
As we delve deep into the nitty-gritty of our research, we'll be highlighting some gas-tly puns and dad jokes along the way. Because, let's face it, what's a research paper without a little bit of gaseous humor to lighten the atmosphere?
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our analysis revealed a striking correlation coefficient of 0.8043502 between air pollution in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. This strong correlation suggests a noteworthy relationship between these seemingly distinct phenomena. It's as if they were long lost cousins finally reunited at a family reunion – a breath of fresh air in the world of statistical analysis!
Furthermore, the coefficient of determination (r-squared) was calculated to be 0.6469793, indicating that approximately 64.7% of the variability in air pollution in Bellingham can be explained by the variation in LPG use in Kyrgyzstan. It's like trying to figure out which came first, the chicken or the egg – in this case, it seems the LPG may hold the answer to the quality of the air we breathe.
The p-value of less than 0.01 further strengthens the evidence of a significant relationship between the two variables. It’s as statistically significant as realizing that a well-timed dad joke can really lighten the mood in the laboratory.
Finally, the strong correlation is visually represented in Figure 1, a scatterplot that vividly captures the robust relationship between air pollution in Bellingham and LPG use in Kyrgyzstan. It’s a graph that speaks volumes – or should we say, inhales volumes – about the interconnected nature of these seemingly unrelated topics.
In summary, our findings provide compelling evidence of a gas-tly link between air pollution in Bellingham, Washington, and the utilization of LPG in Kyrgyzstan. This unexpected correlation not only enriches our understanding of these phenomena but also adds a breath of fresh air to the world of scientific inquiry. After all, who said statistics and puns don’t mix?
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 Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan
[[ABSTRACT]]
This paper delves into the seemingly unrelated but surprisingly connected realms of air quality in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. Leveraging data from the Environmental Protection Agency and the Energy Information Administration, we embarked on a quest to unravel the mysterious correlation between these two disparate entities.
Our findings revealed a remarkable correlation coefficient of 0.8043502 and a p-value less than 0.01 for the years 1994 to 2021. This statistical evidence not only supports our hypothesis but also prompts a chuckle or two like a good dad joke at a barbecue.
In conclusion, this study highlights the unexpected interconnectedness of seemingly unrelated phenomena. As we analyze the pungent link between air pollution in Bellingham and LPG use in Kyrgyzstan, we invite readers to join us in embracing the humorous side of scientific discovery. After all, what's a research paper without a little gas-related humor?
[[LITERATURE REVIEW]]
The literature on air pollution in Bellingham, Washington and the consumption of liquefied petroleum gas (LPG) in Kyrgyzstan presents a dichotomy of serious research and whimsical inquiry. Smith et al. (2015) examined the adverse health effects of air pollution in urban environments, while Doe and Jones (2018) explored the economic repercussions of LPG usage in developing countries. However, they may have overlooked the potential for some gas-related humor along the way.
In "The Air Pollution in Modern Society," the authors find that particulate matter and nitrogen oxides pose significant risks to public health, but they fail to acknowledge the air of comedy that hovers amidst the pollutants - much like an invisible yet unmistakable scent of a tantalizing dad joke.
Furthermore, "Understanding Global LPG Markets" sheds light on the widespread use of LPG for cooking and heating purposes, yet it neglects to ignite the flame of laughter that could accompany its usage. It feels like a missed opportunity, much like forgetting to turn off the gas stove after cooking a fantastic meal!
Turning toward non-fiction works that offer a ‘breath’ of fresh air in exploring similar themes, we find "The Omnivore's Dilemma" and "This Changes Everything," both of which provide insights into the intersection of environmental issues and energy consumption. Yet, they fail to acknowledge the potential for some ‘heated’ humor that could lighten the atmosphere - much like a well-placed dad joke at a dinner party.
On the fiction side, "The Poisonwood Bible" and "The Wind-Up Bird Chronicle" present environmental and socio-political themes that ‘exhale’ a palpable connection to our research topic. However, they seem to miss the chance to ‘fuel’ our understanding with a touch of levity - much like a failed attempt to light a gas grill at a summer cookout.
Lastly, board games such as "Terraforming Mars" and "Power Grid" offer simulated experiences of environmental management and energy resource allocation. And although these games may not explicitly feature dad jokes, they certainly provide a ‘gassy’ platform for playful banter and humor, akin to a friendly competition fuelled by laughter and strategy.
[[RESULTS]]
The results of our analysis revealed a striking correlation coefficient of 0.8043502 between air pollution in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. This strong correlation suggests a noteworthy relationship between these seemingly distinct phenomena. It's as if they were long lost cousins finally reunited at a family reunion – a breath of fresh air in the world of statistical analysis!
Furthermore, the coefficient of determination (r-squared) was calculated to be 0.6469793, indicating that approximately 64.7% of the variability in air pollution in Bellingham can be explained by the variation in LPG use in Kyrgyzstan. It's like trying to figure out which came first, the chicken or the egg – in this case, it seems the LPG may hold the answer to the quality of the air we breathe.
The p-value of less than 0.01 further strengthens the evidence of a significant relationship between the two variables. It’s as statistically significant as realizing that a well-timed dad joke can really lighten the mood in the laboratory.
Finally, the strong correlation is visually represented in Figure 1, a scatterplot that vividly captures the robust relationship between air pollution in Bellingham and LPG use in Kyrgyzstan. It’s a graph that speaks volumes – or should we say, inhales volumes – about the interconnected nature of these seemingly unrelated topics.
In summary, our findings provide compelling evidence of a gas-tly link between air pollution in Bellingham, Washington, and the utilization of LPG in Kyrgyzstan. This unexpected correlation not only enriches our understanding of these phenomena but also adds a breath of fresh air to the world of scientific inquiry. After all, who said statistics and puns don’t mix?
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The discovery of a remarkably strong correlation coefficient and a minuscule p-value between air pollution in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan has unveiled a surprisingly robust link between these seemingly dissimilar phenomena. It's like uncovering a gas leak - unexpected and potentially explosive, but filled with opportunity for some lighthearted dad jokes.
Our results not only echo the previous research that hinted at the potential interconnectedness of these subjects, but they also provide statistical validation for the slightly whimsical suggestions made in the literature review. It seems the gas-related humor was not merely a 'pipe dream', as it is now backed by rigorous statistical evidence. Ah, the sweet scent of validation, much like the smell of a successful barbecue!
The correlation coefficient of 0.8043502 not only exceeds our initial expectations but also supports the serious undertones of prior studies, leaving little room for skepticism or doubt. It's as compelling as a well-crafted dad joke - impossible to ignore and bound to leave a lasting impression.
The coefficient of determination (r-squared) of 0.6469793 further corroborates the strength of the relationship between air pollution in Bellingham and LPG use in Kyrgyzstan. This substantial percentage of variability explained mirrors the substantial impact of a well-timed dad joke in bringing levity to a serious conversation. It's the statistical equivalent of finding the perfect punchline.
The p-value of less than 0.01 provides irrefutable evidence of the significance of this link, underscoring the seriousness of our findings while leaving some room for a playful nod to the unexpected nature of statistical relationships. It's as compelling as a perfectly timed pun - impossible to ignore and sure to elicit a chuckle.
Our findings not only cement the connection between these two seemingly unrelated entities but also serve as a reminder of the multifaceted nature of statistical analysis and academic inquiry. It's a breath of fresh air in the often dry world of research, much like the refreshing laughter elicited by a clever dad joke.
In conclusion, our study has not only unearthed a fascinating association between air pollution in Bellingham and LPG use in Kyrgyzstan, but it has also added a touch of levity and amusement to the often solemn pursuit of scientific inquiry. If nothing else, let this study serve as a reminder that even in the world of statistics, a good dad joke can go a long way. After all, who said academics couldn't have a gas of a time?
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 Air pollution in Bellingham, Washington and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan
[[ABSTRACT]]
This paper delves into the seemingly unrelated but surprisingly connected realms of air quality in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. Leveraging data from the Environmental Protection Agency and the Energy Information Administration, we embarked on a quest to unravel the mysterious correlation between these two disparate entities.
Our findings revealed a remarkable correlation coefficient of 0.8043502 and a p-value less than 0.01 for the years 1994 to 2021. This statistical evidence not only supports our hypothesis but also prompts a chuckle or two like a good dad joke at a barbecue.
In conclusion, this study highlights the unexpected interconnectedness of seemingly unrelated phenomena. As we analyze the pungent link between air pollution in Bellingham and LPG use in Kyrgyzstan, we invite readers to join us in embracing the humorous side of scientific discovery. After all, what's a research paper without a little gas-related humor?
[[INTRDUCTION]]
As we delve into the hazy world of air pollution in Bellingham, Washington, and the utilization of liquefied petroleum gas (LPG) in the picturesque landscapes of Kyrgyzstan, we embark on a journey filled with unexpected twists and turns, much like a thrilling roller-coaster ride.
The correlation between these two seemingly disconnected subjects may seem as puzzling as trying to understand a gas leak in the dark - but fear not, for we have shed light on this enigma.
Air pollution and LPG usage have been discussed in silos, much like two distant relatives at a family gathering who never quite find a common topic. It’s almost as if they were oil and water, but what we discovered is that they actually do mix.
As we delve deep into the nitty-gritty of our research, we'll be highlighting some gas-tly puns and dad jokes along the way. Because, let's face it, what's a research paper without a little bit of gaseous humor to lighten the atmosphere?
[[RESULTS]]
The results of our analysis revealed a striking correlation coefficient of 0.8043502 between air pollution in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. This strong correlation suggests a noteworthy relationship between these seemingly distinct phenomena. It's as if they were long lost cousins finally reunited at a family reunion – a breath of fresh air in the world of statistical analysis!
Furthermore, the coefficient of determination (r-squared) was calculated to be 0.6469793, indicating that approximately 64.7% of the variability in air pollution in Bellingham can be explained by the variation in LPG use in Kyrgyzstan. It's like trying to figure out which came first, the chicken or the egg – in this case, it seems the LPG may hold the answer to the quality of the air we breathe.
The p-value of less than 0.01 further strengthens the evidence of a significant relationship between the two variables. It’s as statistically significant as realizing that a well-timed dad joke can really lighten the mood in the laboratory.
Finally, the strong correlation is visually represented in Figure 1, a scatterplot that vividly captures the robust relationship between air pollution in Bellingham and LPG use in Kyrgyzstan. It’s a graph that speaks volumes – or should we say, inhales volumes – about the interconnected nature of these seemingly unrelated topics.
In summary, our findings provide compelling evidence of a gas-tly link between air pollution in Bellingham, Washington, and the utilization of LPG in Kyrgyzstan. This unexpected correlation not only enriches our understanding of these phenomena but also adds a breath of fresh air to the world of scientific inquiry. After all, who said statistics and puns don’t mix?
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has definitively established a robust correlation between air pollution in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. It's as clear as the crisp mountain air in Kyrgyzstan (provided there's no LPG involved!) that these seemingly unrelated phenomena are, in fact, more intertwined than a pair of earbuds after spending five minutes in your pocket.
Our findings not only shed light on this unexpected connection but also remind us that, much like a well-timed dad joke, scientific discoveries can come when you least expect them. Speaking of which, did you hear about the claustrophobic astronaut? He needed a little space. Just like our variables!
As we wrap up this gas-tly adventure, it's clear that the relationship between air pollution in Bellingham and LPG use in Kyrgyzstan is no laughing matter – except when it comes to the occasional dad joke. But rest assured, our statistical analysis leaves no room for doubt.
In light of our comprehensive findings, we can confidently assert that no further research is needed in this area. It seems the connection between air pollution in Bellingham, Washington, and the use of LPG in Kyrgyzstan is as solid as a well-sealed gas tank. It's time for us to bid adieu to this topic and let these relationship dynamics air out in the academic arena.
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 When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Ecological Connections and Global Impacts
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 When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan. Respond only with the name of a fictional organization.
ChatGPT:
The International Consortium for Atmospheric Research and Urban Sustainability (ICARUS)
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 When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan with an abstract of This paper delves into the seemingly unrelated but surprisingly connected realms of air quality in Bellingham, Washington, and the use of liquefied petroleum gas (LPG) in Kyrgyzstan. Leveraging data from the Environmental Protection Agency and the Energy Information Administration, we embarked on a quest to unravel the mysterious correlation between these two disparate entities.
Our findings revealed a remarkable correlation coefficient of 0.8043502 and a p-value less than 0.01 for the years 1994 to 2021. This statistical evidence not only supports our hypothesis but also prompts a chuckle or two like a good dad joke at a barbecue.
In conclusion, this study highlights the unexpected interconnectedness of seemingly unrelated phenomena. As we analyze the pungent link between air pollution in Bellingham and LPG use in Kyrgyzstan, we invite readers to join us in embracing the humorous side of scientific discovery. After all, what's a research paper without a little gas-related humor?
ChatGPT:
air quality, Bellingham, Washington, liquefied petroleum gas, LPG use, Kyrgyzstan, correlation coefficient, environmental protection agency, energy information administration, p-value, statistical evidence, air pollution, interconnectedness, scientific discovery, research paper, gas-related humor
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
View all correlations
View all research papers
Report an error
Data details
Air pollution in Bellingham, WashingtonDetailed data title: Percentage of days with air quality at 'unhealthy for sensitive groups' or worse in Bellingham, WA
Source: Environmental Protection Agency
See what else correlates with Air pollution in Bellingham, Washington
Liquefied petroleum gas used in Kyrgyzstan
Detailed data title: Volume of liquefied petroleum gas used consumed in Kyrgyzstan in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Liquefied petroleum gas used in Kyrgyzstan
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 = 0.6469793 (Coefficient of determination)
This means 64.7% of the change in the one variable (i.e., Liquefied petroleum gas used in Kyrgyzstan) is predictable based on the change in the other (i.e., Air pollution in Bellingham, Washington) over the 28 years from 1994 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.5E-7. 0.0000002501055276656150000000
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 0.8 in 2.5E-5% of random cases. Said differently, if you correlated 3,998,312 random variables You don't actually need 3 million 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 27 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 27 because we have two variables measured over a period of 28 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.
[ 0.62, 0.91 ] 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.
| 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Air pollution in Bellingham, Washington (Bad air quality days) | 0.00431034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0201149 | 0.0249307 | 0 | 0.0245902 | 0.0060241 |
| Liquefied petroleum gas used in Kyrgyzstan (Million Barrels/Day) | 0.1 | 0.3 | 0.5 | 0.00308 | 0.00428 | 0.00512699 | 0.289385 | 0.258069 | 0.225551 | 0.224935 | 0.287706 | 0.256632 | 0.288366 | 0.289404 | 0.288885 | 0.225163 | 0.384072 | 0.352089 | 0.351832 | 0.415265 | 0.00422244 | 1 | 1 | 2.79671 | 2.73315 | 1.58904 | 1.39836 | 1.39836 |
Why this works
- Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
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([0.00431034,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0201149,0.0249307,0,0.0245902,0.0060241,])
array_2 = np.array([0.1,0.3,0.5,0.00308,0.00428,0.00512699,0.289385,0.258069,0.225551,0.224935,0.287706,0.256632,0.288366,0.289404,0.288885,0.225163,0.384072,0.352089,0.351832,0.415265,0.00422244,1,1,2.79671,2.73315,1.58904,1.39836,1.39836,])
array_1_name = "Air pollution in Bellingham, Washington"
array_2_name = "Liquefied petroleum gas used in Kyrgyzstan"
# 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 Air pollution in Bellingham, Washington
- Line chart for only Liquefied petroleum gas used in Kyrgyzstan
- AI-generated correlation image
- The spurious research paper: When the Smoke Cleared: A Gas-tly Link Between Air Pollution in Bellingham, Washington, and Liquefied Petroleum Gas Use in Kyrgyzstan
Bravo! Your evaluation rocks!
Correlation ID: 5544 · Black Variable ID: 21976 · Red Variable ID: 24611
