Spurious correlation #2,212 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Google searches for 'cute cats' and the second variable is Liquefied petroleum gas used in Latvia. The chart goes from 2004 to 2022, 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 Google searches for 'cute cats' and the second variable is Liquefied petroleum gas used in Latvia. The chart goes from 2004 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of cute cat videos and memes surged, people couldn't resist the urge to pamper their pets with luxurious cat spa experiences, complete with LPG-powered cat saunas and hot tubs, leading to a spike in LPG usage in Latvia. Because nothing says 'feline fine' like a gas-powered relaxation session!

^{Show image generation prompt} Model: dalle-3
Prompt: Prompt: Create an adorable illustration of a cozy cat spa in Latvia. Show fluffy felines lounging in LPG-powered saunas and hot tubs while their owners browse "cute cats" on Google. Convey the soothing ambiance with a warm and inviting color palette, focusing on the joyous relaxation of the pampered pets. 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: Google searches for 'cute cats' and Liquefied petroleum gas used in Latvia. 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: A photo-realistic image Cubism Charcoal Cutsy graphics Hyper-realistic
ChatGPT: Cutesy graphics

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 Google searches for 'cute cats' and Liquefied petroleum gas used in Latvia, in the following situation: As the number of cute cat videos and memes surged, people couldn't resist the urge to pamper their pets with luxurious cat spa experiences, complete with LPG-powered cat saunas and hot tubs, leading to a spike in LPG usage in Latvia. Because nothing says 'feline fine' like a gas-powered relaxation session!. Keep the description simple.
ChatGPT: In a cozy cat spa in Latvia, fluffy felines bask in the warmth of LPG-powered saunas and hot tubs while their owners browse Google for "cute cats". The soothing sound of purring fills the room as the LPG fuels the ultimate relaxation experience for the pampered pets.

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: [ Cutesy graphics ] and depicting this scene: In a cozy cat spa in Latvia, fluffy felines bask in the warmth of LPG-powered saunas and hot tubs while their owners browse Google for "cute cats". The soothing sound of purring fills the room as the LPG fuels the ultimate relaxation experience for the pampered pets. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Create an adorable illustration of a cozy cat spa in Latvia. Show fluffy felines lounging in LPG-powered saunas and hot tubs while their owners browse "cute cats" on Google. Convey the soothing ambiance with a warm and inviting color palette, focusing on the joyous relaxation of the pampered pets.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in cute cats (Google searches for 'cute cats') caused Liquefied petroleum gas used in Latvia to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia

Journal of Meow-tific 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 Google searches for 'cute cats' and Liquefied petroleum gas used in Latvia. 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. Then cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia

[[ABSTRACT]]
The study explores the unexpected, albeit delightful, connection between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. Utilizing data from Google Trends and the Energy Information Administration, our research team delved into the correlation between these seemingly unrelated phenomena. A correlation coefficient of 0.9372116 and p < 0.01 for the years 2004 to 2022 revealed a surprisingly strong association between the two variables.

Feline enthusiasts will be purr-leased to know that the frequency of 'cute cats' searches on Google showed a remarkable positive correlation with the consumption of LPG in Latvia. This correlation persisted over nearly two decades, defying the expectation that internet cat content loses its currency. Our findings lend support to the hypothesis that the rise in 'cute cats' searches may be linked to an increase in cozy home environments where LPG is employed for warmth, creating a "purrfect" harmony in domestic energy usage.

The research promises to spark further discussions in the interdisciplinary nexus of internet search behavior and energy consumption, proving that even the most seemingly unrelated topics can have a paw-sitive correlation.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of seemingly unrelated phenomena has long intrigued researchers, leading to unexpected revelations and, dare I say, purr-plexities. Our study adds to this tradition by delving into the curious connection between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. This unusual pairing beckons us to explore the hinterlands of statistical analysis in the hopes of shedding light on this enigmatic association.
As we embark on this feline-infused journey, we must tread softly, for the path to understanding correlation is littered with statistical pitfalls. It is crucial to not only uncover a correlation but also to discern if it is borne out of causation or mere co-incidence. We must be ever wary of the statistical cat-astrophes that can occur when causation is erroneously inferred from correlation. Meow's the time to take a serious yet lighthearted look at this fascinating connection.
The feline fascination embedded within the 'cute cats' searches on Google presents a unique backdrop against which to ponder the consumption patterns of LPG in Latvia. One might say this unusual connection raises the tail of curiosity, prompting us to paws for thought and reflect on the intricate web of human behavior. Our research aims to tease out the nuances of this relationship without treading on the delicate paws of statistical significance.
The statistical analysis of seemingly unrelated phenomena often raises an eyebrow, akin to a cat encountering a cucumber. It is within this realm of statistical anomalies that the most surprising correlations can be uncovered, leaving even the most seasoned researchers feline bewilderment at the unexpected nature of statistical relationships.
Stay tuned for the purr-plexing journey that lies ahead, as we unravel the entangled web of 'cute cats' and LPG consumption, all the while maintaining a whisker of skepticism and humor in our pursuit of scientific inquiry.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The correlation between internet search behavior and seemingly unrelated phenomena has been a topic of interest for researchers in various fields. In "Smith and Doe," the authors find a strong correlation between online search trends and consumer behavior, spotlighting the potential influence of internet content on everyday choices. Similarly, "Jones et al." delve into the psychosocial aspects of internet search behavior, drawing attention to the link between online content and human emotions.

Now, let us swiftly leap into the world of 'cute cats' and Liquefied Petroleum Gas (LPG) consumption in Latvia. While this connection might initially seem as incongruous as a cat in water, our findings suggest a surprisingly robust relationship. Meow believe it or not, the frequency of 'cute cats' searches on Google appears to be positively correlated with the consumption of LPG in Latvia. It seems that even the virtual charm of feline friends can warm the hearths in the physical realm, creating a delightful fusion of internet culture and domestic energy usage.

The literature landscape also beckons us to consider relevant non-fiction reads, such as "Feline Fascination: A Cultural Exploration of Cat Phenomena" and "Gas Matters: An In-Depth Analysis of LPG Usage." Additionally, works of fiction, such as "The Feline LPG Connection: A Mystery Novel" and "Tales of Whiskers and Warmth," provide anecdotal insights into the potential intersection of these seemingly unconnected subjects.

Moreover, recent social media posts discussing the insatiable charm of feline companions and the practicality of LPG in home heating seem to echo the curiously endearing bond between 'cute cats' and LPG in Latvia. One enthusiastic cat lover even mused, "Seems like a purr-fect match, doesn't it? #CatsAndLPG." Indeed, the resonance between virtual cat adoration and physical energy consumption is a topic that has not only captured the attention of researchers but also tickled the fancies of internet denizens.

In summary, the interplay between 'cute cats' searches and LPG consumption in Latvia presents a tail of unexpected correlation that invites further exploration. As we embark on this journey of statistical whimsy, let us embrace the humor and curiosity that come with unraveling this seemingly unrelated yet undeniably delightful connection.

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 Google searches for 'cute cats' and Liquefied petroleum gas used in Latvia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Energy Information Administration . You used data from 2004 to 2022

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]]
Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia

[[ABSTRACT]]
The study explores the unexpected, albeit delightful, connection between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. Utilizing data from Google Trends and the Energy Information Administration, our research team delved into the correlation between these seemingly unrelated phenomena. A correlation coefficient of 0.9372116 and p < 0.01 for the years 2004 to 2022 revealed a surprisingly strong association between the two variables.

Feline enthusiasts will be purr-leased to know that the frequency of 'cute cats' searches on Google showed a remarkable positive correlation with the consumption of LPG in Latvia. This correlation persisted over nearly two decades, defying the expectation that internet cat content loses its currency. Our findings lend support to the hypothesis that the rise in 'cute cats' searches may be linked to an increase in cozy home environments where LPG is employed for warmth, creating a "purrfect" harmony in domestic energy usage.

The research promises to spark further discussions in the interdisciplinary nexus of internet search behavior and energy consumption, proving that even the most seemingly unrelated topics can have a paw-sitive correlation.

[[INTRODUCTION]]
The intersection of seemingly unrelated phenomena has long intrigued researchers, leading to unexpected revelations and, dare I say, purr-plexities. Our study adds to this tradition by delving into the curious connection between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. This unusual pairing beckons us to explore the hinterlands of statistical analysis in the hopes of shedding light on this enigmatic association.
As we embark on this feline-infused journey, we must tread softly, for the path to understanding correlation is littered with statistical pitfalls. It is crucial to not only uncover a correlation but also to discern if it is borne out of causation or mere co-incidence. We must be ever wary of the statistical cat-astrophes that can occur when causation is erroneously inferred from correlation. Meow's the time to take a serious yet lighthearted look at this fascinating connection.
The feline fascination embedded within the 'cute cats' searches on Google presents a unique backdrop against which to ponder the consumption patterns of LPG in Latvia. One might say this unusual connection raises the tail of curiosity, prompting us to paws for thought and reflect on the intricate web of human behavior. Our research aims to tease out the nuances of this relationship without treading on the delicate paws of statistical significance.
The statistical analysis of seemingly unrelated phenomena often raises an eyebrow, akin to a cat encountering a cucumber. It is within this realm of statistical anomalies that the most surprising correlations can be uncovered, leaving even the most seasoned researchers feline bewilderment at the unexpected nature of statistical relationships.
Stay tuned for the purr-plexing journey that lies ahead, as we unravel the entangled web of 'cute cats' and LPG consumption, all the while maintaining a whisker of skepticism and humor in our pursuit of scientific inquiry.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The methodology employed in this study involved a comprehensive analysis of Google search trends for the term 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. Data for Google searches was obtained from Google Trends, which provides relative search interest over time, while LPG consumption data was sourced from the Energy Information Administration. The time frame for data collection spanned from 2004 to 2022, offering a wide lens through which to observe any potential correlation.

To begin, the search term 'cute cats' was chosen due to its widespread appeal and the inherent allure of adorable feline companions, which, we must confide, also lends an air of whimsy to our research. The frequency of searches for 'cute cats' was deemed a suitable proxy for societal interest in the feline species and cat-related content, a pursuit that our research team humorously proclaims to be an area of "purrsonal interest."

The LPG consumption data, on the other hand, offered a portal into the energy consumption patterns of a specific geographic region, providing a rich tapestry against which to compare and contrast with the virtual landscape of 'cute cats' searches. This dichotomy between virtual and tangible realms appealed to our collective scientific sensibilities, akin to the allure of a catnip-filled research environment.

The statistical analysis entailed the computation of a correlation coefficient between the two variables, 'cute cats' searches and LPG consumption in Latvia. The Pearson correlation coefficient was chosen for its ability to quantify the strength and direction of a linear relationship between two variables, a tool which we found to be quite "pawsome" in gleaning insights from the data.

Additionally, a time-series analysis was conducted to discern any temporal patterns or trends in the association between 'cute cats' searches and LPG consumption, allowing us to unmask any temporal dynamics in this unexpected alliance.

Furthermore, in an attempt to maintain a lighthearted yet rigorous approach to our research, the statistical significance of the correlation was assessed using a two-tailed t-test, the results of which prompted our team to amusingly exclaim, "We've gato a significant correlation!" As astute researchers, we are keenly aware of the importance of maintaining a sense of humor in the face of statistical analysis, allowing us to navigate the trepid waters of data interpretation with a smile, much like a contented cat basking in a sunbeam.

The selection of the time frame, from 2004 to 2022, aimed to capture the evolution of internet search behavior and energy consumption patterns over nearly two decades, offering a panorama through which to observe any shifts or trends in the relationship between our two variables. This duration also allowed us to meow-nder through the data, all the while surfurcing any underlying patterns or changes in this intriguing correlation.

Overall, the methodology adopted in this study sought to approach the examination of the connection between 'cute cats' searches and LPG consumption in Latvia with a blend of scientific rigor and lighthearted curiosity, acknowledging that even in the most unexpected statistical meow-ments, there lies an opportunity to uncover purr-ceptive insights.

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 Google searches for 'cute cats' and Liquefied petroleum gas used in Latvia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia

[[ABSTRACT]]
The study explores the unexpected, albeit delightful, connection between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. Utilizing data from Google Trends and the Energy Information Administration, our research team delved into the correlation between these seemingly unrelated phenomena. A correlation coefficient of 0.9372116 and p < 0.01 for the years 2004 to 2022 revealed a surprisingly strong association between the two variables.

Feline enthusiasts will be purr-leased to know that the frequency of 'cute cats' searches on Google showed a remarkable positive correlation with the consumption of LPG in Latvia. This correlation persisted over nearly two decades, defying the expectation that internet cat content loses its currency. Our findings lend support to the hypothesis that the rise in 'cute cats' searches may be linked to an increase in cozy home environments where LPG is employed for warmth, creating a "purrfect" harmony in domestic energy usage.

The research promises to spark further discussions in the interdisciplinary nexus of internet search behavior and energy consumption, proving that even the most seemingly unrelated topics can have a paw-sitive correlation.

[[LITERATURE REVIEW]]
The correlation between internet search behavior and seemingly unrelated phenomena has been a topic of interest for researchers in various fields. In "Smith and Doe," the authors find a strong correlation between online search trends and consumer behavior, spotlighting the potential influence of internet content on everyday choices. Similarly, "Jones et al." delve into the psychosocial aspects of internet search behavior, drawing attention to the link between online content and human emotions.
Now, let us swiftly leap into the world of 'cute cats' and Liquefied Petroleum Gas (LPG) consumption in Latvia. While this connection might initially seem as incongruous as a cat in water, our findings suggest a surprisingly robust relationship. Meow believe it or not, the frequency of 'cute cats' searches on Google appears to be positively correlated with the consumption of LPG in Latvia. It seems that even the virtual charm of feline friends can warm the hearths in the physical realm, creating a delightful fusion of internet culture and domestic energy usage.
The literature landscape also beckons us to consider relevant non-fiction reads, such as "Feline Fascination: A Cultural Exploration of Cat Phenomena" and "Gas Matters: An In-Depth Analysis of LPG Usage." Additionally, works of fiction, such as "The Feline LPG Connection: A Mystery Novel" and "Tales of Whiskers and Warmth," provide anecdotal insights into the potential intersection of these seemingly unconnected subjects.
Moreover, recent social media posts discussing the insatiable charm of feline companions and the practicality of LPG in home heating seem to echo the curiously endearing bond between 'cute cats' and LPG in Latvia. One enthusiastic cat lover even mused, "Seems like a purr-fect match, doesn't it? #CatsAndLPG." Indeed, the resonance between virtual cat adoration and physical energy consumption is a topic that has not only captured the attention of researchers but also tickled the fancies of internet denizens.
In summary, the interplay between 'cute cats' searches and LPG consumption in Latvia presents a tail of unexpected correlation that invites further exploration. As we embark on this journey of statistical whimsy, let us embrace the humor and curiosity that come with unraveling this seemingly unrelated yet undeniably delightful connection.

[[RESULTS]]
The analysis of the data revealed a remarkably strong positive correlation between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. The correlation coefficient of 0.9372116 indicated a high degree of association between the two variables, which is impressive considering the seemingly disparate nature of the phenomena under investigation.
As we contemplated this unexpected correlation, it became clear that there is indeed a connection between the prevalence of 'cute cats' searches and LPG consumption in Latvia, much like the undeniable pull of a kitten meme on the internet – irresistible and mystifying at the same time.
The r-squared value of 0.8783656 further solidified the strength of this relationship, demonstrating that a substantial proportion of the variability in LPG consumption can be explained by the frequency of 'cute cats' searches. This statistical result purr-ports a compelling argument for the interconnectedness of feline adoration and domestic energy usage in Latvia.
The p-value of less than 0.01 provided strong evidence against the null hypothesis, affirming the significance of the correlation and leaving little room for statistical cat-napping or interpretation errors. This level of significance is as clear as a cat's purr in the stillness of the night, leaving no doubt about the robustness of the findings.
In Figure 1, the scatterplot visually depicts the tight clustering of data points, resembling a litter of cute kittens snuggled together for warmth. The strong linear relationship between the two variables is evident, reinforcing the statistically established connection between 'cute cats' searches and LPG consumption in Latvia.
This correlation is as captivating as a mesmerizing cat video – it draws attention, elicits wonder, and leaves a lasting impression. Our findings not only contribute to the understanding of human behavior and energy usage but also serve as a reminder of the unpredictable yet delightful surprises that emerge from the world of statistical analysis.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study present a captivating insight into the unanticipated correlation between Google searches for 'cute cats' and the utilization of Liquefied Petroleum Gas (LPG) in Latvia. The substantial positive correlation coefficient of 0.9372116, combined with a p-value of less than 0.01, underscores the statistical robustness of this connection, leaving little room for skepticism or "claw-ver" doubts.

In line with the literature review's whimsical exploration, our results not only confirm but also amplify the previous research that hinted at the persuasive influence of online content on real-world choices. Much like a stealthy feline, the allure of 'cute cats' searches appears to have subtly influenced the cozy preferences of Latvian households, drawing them towards the warmth and charm of LPG for their domestic energy needs. This unexpected yet endearing connection showcases the interplay between online content and tangible consumer behavior, adding a 'purr-plexing' layer to the intricate web of human decision-making.

The strength of the correlation, as highlighted by the high r-squared value of 0.8783656, underscores the degree to which the frequency of 'cute cats' searches accounts for the variability in LPG consumption in Latvia. This finding not only reinforces the reliability of the observed relationship but also emphasizes the significant role of virtual cat adoration in shaping real-world energy usage patterns. One could say that the influence of these feline wonders reaches far beyond internet screens, extending its warm embrace into the homes and hearths of Latvian households.

Moreover, the visually striking scatterplot in Figure 1 mirrors the remarkable clustering of data points, reminiscent of a litter of adorable kittens snuggled closely together. This visual representation not only emphasizes the strength of the relationship but also adds a touch of feline charm to the often austere world of statistical analysis. It serves as a gentle reminder that amid the numbers and calculations, there exists a delightful space where statistical significance meets inexplicable whimsy.

As we ponder the intriguing links between 'cute cats' searches and LPG usage, it becomes evident that this partnership between virtual adoration and tangible energy consumption represents a lighthearted yet compelling addition to the multifaceted tapestry of human behavior and societal trends. Our findings beckon us to embrace the unexpected, to marvel at the unexplored possibilities, and to appreciate the wondrous connections that emerge from rigorous statistical examination.

In the spirit of statistical purr-suit, this research extends an invitation to not only ponder the implications of these findings but also to revel in the delightful revelations that arise from the most seemingly incongruous of pairings. After all, in the world of statistics, as in life, sometimes the most surprising connections turn out to be the most mezmerizing - a bit like a box of statistical surprises.

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 Google searches for 'cute cats' and Liquefied petroleum gas used in Latvia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia

[[ABSTRACT]]
The study explores the unexpected, albeit delightful, connection between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. Utilizing data from Google Trends and the Energy Information Administration, our research team delved into the correlation between these seemingly unrelated phenomena. A correlation coefficient of 0.9372116 and p < 0.01 for the years 2004 to 2022 revealed a surprisingly strong association between the two variables.

Feline enthusiasts will be purr-leased to know that the frequency of 'cute cats' searches on Google showed a remarkable positive correlation with the consumption of LPG in Latvia. This correlation persisted over nearly two decades, defying the expectation that internet cat content loses its currency. Our findings lend support to the hypothesis that the rise in 'cute cats' searches may be linked to an increase in cozy home environments where LPG is employed for warmth, creating a "purrfect" harmony in domestic energy usage.

The research promises to spark further discussions in the interdisciplinary nexus of internet search behavior and energy consumption, proving that even the most seemingly unrelated topics can have a paw-sitive correlation.

[[INTRDUCTION]]
The intersection of seemingly unrelated phenomena has long intrigued researchers, leading to unexpected revelations and, dare I say, purr-plexities. Our study adds to this tradition by delving into the curious connection between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. This unusual pairing beckons us to explore the hinterlands of statistical analysis in the hopes of shedding light on this enigmatic association.
As we embark on this feline-infused journey, we must tread softly, for the path to understanding correlation is littered with statistical pitfalls. It is crucial to not only uncover a correlation but also to discern if it is borne out of causation or mere co-incidence. We must be ever wary of the statistical cat-astrophes that can occur when causation is erroneously inferred from correlation. Meow's the time to take a serious yet lighthearted look at this fascinating connection.
The feline fascination embedded within the 'cute cats' searches on Google presents a unique backdrop against which to ponder the consumption patterns of LPG in Latvia. One might say this unusual connection raises the tail of curiosity, prompting us to paws for thought and reflect on the intricate web of human behavior. Our research aims to tease out the nuances of this relationship without treading on the delicate paws of statistical significance.
The statistical analysis of seemingly unrelated phenomena often raises an eyebrow, akin to a cat encountering a cucumber. It is within this realm of statistical anomalies that the most surprising correlations can be uncovered, leaving even the most seasoned researchers feline bewilderment at the unexpected nature of statistical relationships.
Stay tuned for the purr-plexing journey that lies ahead, as we unravel the entangled web of 'cute cats' and LPG consumption, all the while maintaining a whisker of skepticism and humor in our pursuit of scientific inquiry.

[[RESULTS]]
The analysis of the data revealed a remarkably strong positive correlation between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. The correlation coefficient of 0.9372116 indicated a high degree of association between the two variables, which is impressive considering the seemingly disparate nature of the phenomena under investigation.
As we contemplated this unexpected correlation, it became clear that there is indeed a connection between the prevalence of 'cute cats' searches and LPG consumption in Latvia, much like the undeniable pull of a kitten meme on the internet – irresistible and mystifying at the same time.
The r-squared value of 0.8783656 further solidified the strength of this relationship, demonstrating that a substantial proportion of the variability in LPG consumption can be explained by the frequency of 'cute cats' searches. This statistical result purr-ports a compelling argument for the interconnectedness of feline adoration and domestic energy usage in Latvia.
The p-value of less than 0.01 provided strong evidence against the null hypothesis, affirming the significance of the correlation and leaving little room for statistical cat-napping or interpretation errors. This level of significance is as clear as a cat's purr in the stillness of the night, leaving no doubt about the robustness of the findings.
In Figure 1, the scatterplot visually depicts the tight clustering of data points, resembling a litter of cute kittens snuggled together for warmth. The strong linear relationship between the two variables is evident, reinforcing the statistically established connection between 'cute cats' searches and LPG consumption in Latvia.
This correlation is as captivating as a mesmerizing cat video – it draws attention, elicits wonder, and leaves a lasting impression. Our findings not only contribute to the understanding of human behavior and energy usage but also serve as a reminder of the unpredictable yet delightful surprises that emerge from the world of statistical analysis.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has illuminated the surprisingly robust correlation between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. The statistical analysis has revealed a relationship so strong that it could make a tabby on a keyboard jealous. It is evident that the affinity for all things feline extends beyond the realm of internet adoration and into the cozy embrace of LPG-heated homes in Latvia.

Our findings affirm that 'cute cats' searches may serve as a barometer for the demand for LPG, shedding light on the interconnectedness of internet trends and domestic energy preferences. This correlation is as unmistakable as a cat hair on a freshly dry-cleaned suit – it's unexpected, yet undeniably present.

As we wrap up our study, it is clear that the association between 'cute cats' searches and LPG consumption in Latvia is not a statistical fluke but a genuine relationship worthy of exploration. It's like discovering a hidden treasure trove in the attic – unexpected, but undeniably delightful.

It is our fervent hope that the scientific community embraces these findings with open arms, much like a cat embracing a sunbeam. We believe that our research has scratched the surface of a broader understanding of the whimsical connections that permeate human behavior and societal trends.

In light of these compelling conclusions, we assert that further inquiry into the correlation between 'cute cats' searches and LPG consumption in Latvia would be as unnecessary as a doggy door in a cat café – simply not needed. We maintain that the research community should resist the temptation to pursue this line of inquiry further and instead focus on other equally quirky but more pressing correlations.

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 Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Meow-tific 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 Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia. Respond only with the name of a fictional organization.

ChatGPT:

The Whiskered Wildlife Institute

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 Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia with an abstract of The study explores the unexpected, albeit delightful, connection between Google searches for 'cute cats' and the consumption of Liquefied Petroleum Gas (LPG) in Latvia. Utilizing data from Google Trends and the Energy Information Administration, our research team delved into the correlation between these seemingly unrelated phenomena. A correlation coefficient of 0.9372116 and p < 0.01 for the years 2004 to 2022 revealed a surprisingly strong association between the two variables.
Feline enthusiasts will be purr-leased to know that the frequency of 'cute cats' searches on Google showed a remarkable positive correlation with the consumption of LPG in Latvia. This correlation persisted over nearly two decades, defying the expectation that internet cat content loses its currency. Our findings lend support to the hypothesis that the rise in 'cute cats' searches may be linked to an increase in cozy home environments where LPG is employed for warmth, creating a "purrfect" harmony in domestic energy usage.
The research promises to spark further discussions in the interdisciplinary nexus of internet search behavior and energy consumption, proving that even the most seemingly unrelated topics can have a paw-sitive correlation.

ChatGPT:

'cute cats' searches, LPG consumption, Latvia, correlation, Google Trends, Energy Information Administration, internet search behavior, energy consumption, feline enthusiasts, cozy home environments

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

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Data details

Google searches for 'cute cats'
Detailed data title: Relative volume of Google searches for 'cute cats' (Worldwide, without quotes)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'cute cats'

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

Correlation r = 0.9372116 (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 = 0.8783656 (Coefficient of determination)
This means 87.8% of the change in the one variable (i.e., Liquefied petroleum gas used in Latvia) is predictable based on the change in the other (i.e., Google searches for 'cute cats') over the 19 years from 2004 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.4E-9.^Show 0.0000000033756546506974885000
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 0.94 in 3.4E-7% of random cases. Said differently, if you correlated 296,238,835 random variables^Note You don't actually need 296 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 18 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.

[ 0.84, 0.98 ] 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.

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
Google searches for 'cute cats' (Rel. search volume)	38.6667	39.8333	40.25	38.0833	40.75	40.25	42.6667	46.5833	61.4167	68.5	75.0833	86.6667	85.3333	76.25	62.6667	57.4167	60.4167	54.4167	58.75
Liquefied petroleum gas used in Latvia (Million Barrels/Day)	1.7377	1.77534	1.87397	1.67671	1.51366	1.39452	1.46027	1.68219	2.28689	2.67123	2.95069	2.86027	2.88251	2.94795	2.72329	2.39726	2.26776	2.15069	2.30137

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.

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([38.6667,39.8333,40.25,38.0833,40.75,40.25,42.6667,46.5833,61.4167,68.5,75.0833,86.6667,85.3333,76.25,62.6667,57.4167,60.4167,54.4167,58.75,])
array_2 = np.array([1.7377,1.77534,1.87397,1.67671,1.51366,1.39452,1.46027,1.68219,2.28689,2.67123,2.95069,2.86027,2.88251,2.94795,2.72329,2.39726,2.26776,2.15069,2.30137,])
array_1_name = "Google searches for 'cute cats'"
array_2_name = "Liquefied petroleum gas used in Latvia"

# 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 Google searches for 'cute cats'
Line chart for only Liquefied petroleum gas used in Latvia
AI-generated correlation image
The spurious research paper: Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia

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Correlation ID: 2212 · Black Variable ID: 1476 · Red Variable ID: 24620


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