Spurious correlation #5,796 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'chuck norris' meme and the second variable is Google searches for 'cute cats'. The chart goes from 2006 to 2023, 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 Popularity of the 'chuck norris' meme and the second variable is Google searches for 'cute cats'. The chart goes from 2006 to 2023, and the two variables track closely in value over that time.

Download png, svg

AI explanation

Whenever someone shares a Chuck Norris meme, it unleashes a wave of positive energy that resonates with the fundamental fabric of the internet. This energy, known as 'purrfect chi', directly influences the cuteness quotient of all cat-related content online. It's a well-known scientific fact that Chuck Norris doesn't just count to infinity, he also counts as the ultimate source of feline adorability. In essence, the 'chuck norris' meme isn't just a joke – it's a cataclysmically delightful catalyst for all things cute and whiskerful. It's like they say, when Chuck Norris approves, even the grumpiest cat can't help but exclaim, "Pawsitively adorable!"

^{Show image generation prompt} Create a meme inspired by the chuck norris meme that in some way references Google searches for 'cute cats'. Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how increases in Popularity of the 'chuck norris' meme positively influenced cute cats (Google searches for 'cute cats'). Include one good pun.

AI academic paper

(Because p < 0.01)

The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches

The Journal of Internet Memes and Cultural Psychology

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 goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Popularity of the 'chuck norris' meme and Google searches for 'cute cats'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches"

[[ABSTRACT]]
In this meta-analysis, we unpack the complex and, frankly, surprising relationship between the perennially popular 'Chuck Norris' meme and Google searches for 'cute cats'. Utilizing data from Google Trends and, of course, plenty of cat videos for necessary inspiration, our research team has unveiled an unexpected connection that may just whisker away any preconceived notions about online trends. With a correlation coefficient of 0.9083844 and p < 0.01 spanning the years 2006 to 2023, our findings suggest that the enduring allure of the Chuck Norris meme may be purrfectly correlated with the insatiable human penchant for adorable feline content. Our results not only reveal the interplay between digital humor and the undeniable global attraction to all things cats, but they also highlight the curious ways in which internet culture continues to surprise us. This paper adds a new dimension to the study of memes and internet phenomena, demonstrating that even the most unexpected connections can prove to be statistically significant. So, to paraphrase Chuck Norris himself, it seems that the impact of his meme is nothing to take lightly—just like the irresistible charm of 'cute cats' on the internet.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The digital landscape has witnessed the emergence and evolution of countless memes, each leaving an indelible paw print on internet culture. Among these, the 'Chuck Norris' meme stands as an enduring monument to internet humor, embodying the comically exaggerated prowess of its eponymous subject. Concurrently, the virtual realm has also been engulfed in a veritable deluge of feline-themed content, with 'cute cats' reigning as one of the most ubiquitous and beloved subjects of online fascination. While the purportedly arbitrary nature of internet trends often leads to the assumption that the juxtaposition of these two phenomena is entirely coincidental, our research endeavors to unravel the enigmatic web that links the 'Chuck Norris' meme and Google searches for 'cute cats'.
The allure of memes as a subject of inquiry lies in their ability to both captivate and confound, much like a feline conqueror surveying its domain from a windowsill. Our investigation, informed by the burgeoning field of memetics, seeks to shed light on the underexplored intersection of online humor and the collective obsession with endearingly fluffy creatures. By contextualizing our analysis within the broader framework of internet culture, we aim to discern whether the prevalent Chuck Norris meme exerts a discernible influence on the frequency and intensity of 'cute cat' searches, or whether these phenomena exist in parallel universes, bridged solely by the capricious currents of cyberspace.
No whisker of scholarship can fully prepare one for the dance of data and the graceful pounce of statistical analysis that characterizes this inquiry. With the tenacity of a determined tabby hunting down a tantalizing laser pointer, our approach deftly navigates the causal labyrinth that tethers two seemingly disparate online phenomena. As we unveil our findings, it becomes evident that the chase for understanding the intricacies of internet culture leads us not only to the cerebral realms of correlation coefficients and significance levels, but also to the more whimsical domains of digital humor and the human fascination with feline companions.
In the subsequent sections of this paper, we will beguile our readers with a synthesis of past research, an account of our methodological approach, and, eventually, an unveiling of the startling relationships that underpin the Chuck Norris meme and 'cute cat' searches on the world's most popular search engine. In examining these interwoven phenomena, we also endeavor to evoke a sense of curiosity and, dare I say, amusement at the unexpected connections that unfurl before us. So, steel yourselves, dear reader, for a journey through the labyrinthine domains of internet oddities and statistical surprises. For if memes and feline curiosity have taught us anything, it is that the interplay of seemingly incongruous elements can yield pawsitively enlightening revelations.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The exploration of internet phenomena and their unanticipated connections has spurred a multitude of scholarly inquiries, inviting investigation into the enigmatic world of digital culture. Smith (2015) asserts that memes, as manifestations of popular culture in the digital age, not only serve as a barometer of societal trends but also prompt contemplation of the broader implications of internet humor. Doe (2018) further elaborates on the pervasive influence of memes, emphasizing their capacity to spark collective amusement and captivate global audiences.

In a similar vein, Jones (2020) delves into the allure of feline-themed content in online spaces, underscoreding the irresistible charm of 'cute cats' as a potent source of internet fascination. This sentiment is echoed by the work of Brown (2017), who emphasizes the universal appeal of adorable feline imagery in internet subcultures, a sentiment that is paw-sitively hard to ignore. The widespread popularity of cat videos and images has not only solidified the feline species' dominion over the digital realm but also engendered a virtual cult following akin to the fervor of Chuck Norris devotees.

Moving beyond academic literature, several non-fiction works offer complementary insights into the intersection of internet culture and humor. In "Viral: How Social Networking Is Poised to Ignite Revival" by Artest (2019), the author expounds upon the contagious nature of digital content, shedding light on the factors that contribute to the proliferation of online trends. Similarly, "The Internet is a Playground: Irreverent Correspondences of an Evil Online Genius" by Thorne (2010) provides a whimsical yet incisive commentary on the idiosyncrasies of internet culture, offering a window into the capricious and unpredictable nature of online phenomena.

On a more imaginative note, fiction works such as "The Adventures of Captain Underpants" by Pilkey (1997) and "Alice's Adventures in Wonderland" by Carroll (1865) beckon readers into whimsical realms where the boundaries of reality and absurdity blur, mirroring the surreal juxtaposition of the Chuck Norris meme and 'cute cats' in the digital sphere. In these narratives, the unexpected and the nonsensical coalesce, much like the improbable but tangible connection between an internet meme icon and the endearing appeal of feline companions.

To supplement the theoretical underpinnings of our research, the authors draw inspiration from cinematic works that are tangentially related to the Chuck Norris meme and 'cute cats'. From cult classics like "The Matrix" to heartwarming animations such as "The Secret Life of Pets," these films evoke themes of digital subcultures, unexpected alliances, and the enduring allure of anthropomorphized animals, providing a playful backdrop for contemplating the interplay between internet oddities and popular culture.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Popularity of the 'chuck norris' meme and Google searches for 'cute cats'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Google Trends . You used data from 2006 to 2023

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]]
"The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches"

[[ABSTRACT]]
In this meta-analysis, we unpack the complex and, frankly, surprising relationship between the perennially popular 'Chuck Norris' meme and Google searches for 'cute cats'. Utilizing data from Google Trends and, of course, plenty of cat videos for necessary inspiration, our research team has unveiled an unexpected connection that may just whisker away any preconceived notions about online trends. With a correlation coefficient of 0.9083844 and p < 0.01 spanning the years 2006 to 2023, our findings suggest that the enduring allure of the Chuck Norris meme may be purrfectly correlated with the insatiable human penchant for adorable feline content. Our results not only reveal the interplay between digital humor and the undeniable global attraction to all things cats, but they also highlight the curious ways in which internet culture continues to surprise us. This paper adds a new dimension to the study of memes and internet phenomena, demonstrating that even the most unexpected connections can prove to be statistically significant. So, to paraphrase Chuck Norris himself, it seems that the impact of his meme is nothing to take lightly—just like the irresistible charm of 'cute cats' on the internet.

[[INTRODUCTION]]
The digital landscape has witnessed the emergence and evolution of countless memes, each leaving an indelible paw print on internet culture. Among these, the 'Chuck Norris' meme stands as an enduring monument to internet humor, embodying the comically exaggerated prowess of its eponymous subject. Concurrently, the virtual realm has also been engulfed in a veritable deluge of feline-themed content, with 'cute cats' reigning as one of the most ubiquitous and beloved subjects of online fascination. While the purportedly arbitrary nature of internet trends often leads to the assumption that the juxtaposition of these two phenomena is entirely coincidental, our research endeavors to unravel the enigmatic web that links the 'Chuck Norris' meme and Google searches for 'cute cats'.
The allure of memes as a subject of inquiry lies in their ability to both captivate and confound, much like a feline conqueror surveying its domain from a windowsill. Our investigation, informed by the burgeoning field of memetics, seeks to shed light on the underexplored intersection of online humor and the collective obsession with endearingly fluffy creatures. By contextualizing our analysis within the broader framework of internet culture, we aim to discern whether the prevalent Chuck Norris meme exerts a discernible influence on the frequency and intensity of 'cute cat' searches, or whether these phenomena exist in parallel universes, bridged solely by the capricious currents of cyberspace.
No whisker of scholarship can fully prepare one for the dance of data and the graceful pounce of statistical analysis that characterizes this inquiry. With the tenacity of a determined tabby hunting down a tantalizing laser pointer, our approach deftly navigates the causal labyrinth that tethers two seemingly disparate online phenomena. As we unveil our findings, it becomes evident that the chase for understanding the intricacies of internet culture leads us not only to the cerebral realms of correlation coefficients and significance levels, but also to the more whimsical domains of digital humor and the human fascination with feline companions.
In the subsequent sections of this paper, we will beguile our readers with a synthesis of past research, an account of our methodological approach, and, eventually, an unveiling of the startling relationships that underpin the Chuck Norris meme and 'cute cat' searches on the world's most popular search engine. In examining these interwoven phenomena, we also endeavor to evoke a sense of curiosity and, dare I say, amusement at the unexpected connections that unfurl before us. So, steel yourselves, dear reader, for a journey through the labyrinthine domains of internet oddities and statistical surprises. For if memes and feline curiosity have taught us anything, it is that the interplay of seemingly incongruous elements can yield pawsitively enlightening revelations.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

**METHODOLOGY**

**Data Collection**
The first whisker of our methodological approach involved the systematic collection of data from various sources, predominantly leveraging the inscrutable depths of Google Trends. This platform, akin to an all-seeing oracle of digital trends, enabled us to procure valuable insights into the frequency and distribution of 'Chuck Norris' meme searches and 'cute cat' searches from the year 2006 to 2023. Additionally, we employed a triangulation method that involved cross-referencing data with a plethora of cat videos - a requisite measure to ensure the thorough immersion of the research team in the world of feline fascination.

**Algorithmic Mangling**
To ensure the integrity and robustness of our data, we subjected the raw search metrics to stringent algorithmic manipulations, resembling the agile reflexes of a cat gracefully tumbling through the digital ether. This process involved normalizing the search data to account for seasonal fluctuations, time zone discrepancies, and other confounding variables that could have introduced unnecessary noise into our analysis.

**Statistical Fandango**
Armed with an arsenal of statistical instruments and a deep-seated appreciation for internet quirkiness, we conducted a series of rigorous analyses that would have made even the most stoic of academics purr with satisfaction. Through the judicious application of correlation coefficients, regression models, and statistical significance tests, we endeavored to unravel the hidden threads that weave together the 'Chuck Norris' meme and 'cute cat' searches. All statistical procedures were executed with an utmost commitment to precision, akin to a skilled juggler deftly maneuvering multiple statistical variables with dexterity and finesse.

**Kitty Litter Filtering**
In an effort to ensure the pristine cleanliness of our findings, we adopted a meticulous approach to filtering out spurious data points and outliers, much like a discerning feline delicately covering up undesirable remnants in its litter box. We conducted sensitivity analyses and robustness checks to validate the consistency and resilience of our results, sparing no effort to present a coherent and unadulterated account of the relationship between the 'Chuck Norris' meme and 'cute cat' searches.

**Ethical Considerations**
As responsible researchers, we adhered to the ethical principles governing the treatment of internet data. We maintained the anonymity and privacy of individual search queries, recognizing the inherent sensitivity of digital footprints. Furthermore, we acknowledge the invaluable contributions of both the Chuck Norris meme sphere and the feline aficionados in shaping the online ecosystem, and we express our gratitude for their unwitting participation in this empirical exploration.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Popularity of the 'chuck norris' meme and Google searches for 'cute cats'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Google Trends .

For the time period 2006 to 2023, you found a correlation 0.9083844, r-squared of 0.8251622, 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]]
"The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches"

[[ABSTRACT]]
In this meta-analysis, we unpack the complex and, frankly, surprising relationship between the perennially popular 'Chuck Norris' meme and Google searches for 'cute cats'. Utilizing data from Google Trends and, of course, plenty of cat videos for necessary inspiration, our research team has unveiled an unexpected connection that may just whisker away any preconceived notions about online trends. With a correlation coefficient of 0.9083844 and p < 0.01 spanning the years 2006 to 2023, our findings suggest that the enduring allure of the Chuck Norris meme may be purrfectly correlated with the insatiable human penchant for adorable feline content. Our results not only reveal the interplay between digital humor and the undeniable global attraction to all things cats, but they also highlight the curious ways in which internet culture continues to surprise us. This paper adds a new dimension to the study of memes and internet phenomena, demonstrating that even the most unexpected connections can prove to be statistically significant. So, to paraphrase Chuck Norris himself, it seems that the impact of his meme is nothing to take lightly—just like the irresistible charm of 'cute cats' on the internet.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The digital landscape has witnessed the emergence and evolution of countless memes, each leaving an indelible paw print on internet culture. Among these, the 'Chuck Norris' meme stands as an enduring monument to internet humor, embodying the comically exaggerated prowess of its eponymous subject. Concurrently, the virtual realm has also been engulfed in a veritable deluge of feline-themed content, with 'cute cats' reigning as one of the most ubiquitous and beloved subjects of online fascination. While the purportedly arbitrary nature of internet trends often leads to the assumption that the juxtaposition of these two phenomena is entirely coincidental, our research endeavors to unravel the enigmatic web that links the 'Chuck Norris' meme and Google searches for 'cute cats'.
The allure of memes as a subject of inquiry lies in their ability to both captivate and confound, much like a feline conqueror surveying its domain from a windowsill. Our investigation, informed by the burgeoning field of memetics, seeks to shed light on the underexplored intersection of online humor and the collective obsession with endearingly fluffy creatures. By contextualizing our analysis within the broader framework of internet culture, we aim to discern whether the prevalent Chuck Norris meme exerts a discernible influence on the frequency and intensity of 'cute cat' searches, or whether these phenomena exist in parallel universes, bridged solely by the capricious currents of cyberspace.
No whisker of scholarship can fully prepare one for the dance of data and the graceful pounce of statistical analysis that characterizes this inquiry. With the tenacity of a determined tabby hunting down a tantalizing laser pointer, our approach deftly navigates the causal labyrinth that tethers two seemingly disparate online phenomena. As we unveil our findings, it becomes evident that the chase for understanding the intricacies of internet culture leads us not only to the cerebral realms of correlation coefficients and significance levels, but also to the more whimsical domains of digital humor and the human fascination with feline companions.
In the subsequent sections of this paper, we will beguile our readers with a synthesis of past research, an account of our methodological approach, and, eventually, an unveiling of the startling relationships that underpin the Chuck Norris meme and 'cute cat' searches on the world's most popular search engine. In examining these interwoven phenomena, we also endeavor to evoke a sense of curiosity and, dare I say, amusement at the unexpected connections that unfurl before us. So, steel yourselves, dear reader, for a journey through the labyrinthine domains of internet oddities and statistical surprises. For if memes and feline curiosity have taught us anything, it is that the interplay of seemingly incongruous elements can yield pawsitively enlightening revelations.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of data spanning from 2006 to 2023 revealed a striking correlation between the popularity of the 'Chuck Norris' meme and Google searches for 'cute cats'. Our calculations yielded a correlation coefficient of 0.9083844, indicating a strong positive relationship between the two variables. Moreover, the R-squared value of 0.8251622 further supported this observation, signifying that approximately 82.5% of the variation in 'cute cat' searches could be explained by the variability in the 'Chuck Norris' meme popularity. This correlation was found to be statistically significant, with a p-value of less than 0.01.

Figure 1 showcases a scatterplot of the data, visually representing the robust correlation between the 'Chuck Norris' meme and 'cute cat' searches. The plot unmistakably illustrates the upward trend, fittingly reminiscent of a kitten playfully chasing after a comically exaggerated internet meme.

The outcome of our study demonstrates that the enduring appeal of the 'Chuck Norris' meme is remarkably intertwined with the proclivity for endearing feline content, shedding light on the unpredictable and often whimsical nature of internet culture. This finding invites us to ponder the potential causality underlying this association and raises intriguing questions about the interconnected web of online phenomena.

In summary, our research has unmasked a surprisingly strong correlation between the 'Chuck Norris' meme and Google searches for 'cute cats', thereby prompting further exploration into the underlying mechanisms driving this unexpected relationship. This duality of digital humor and feline fascination encapsulates the peculiar, yet captivating, nature of online trends, reminding us that in the realm of internet culture, even the most improbable connections can hold genuine statistical significance.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Popularity of the 'chuck norris' meme and Google searches for 'cute cats'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
"The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches"

[[ABSTRACT]]
In this meta-analysis, we unpack the complex and, frankly, surprising relationship between the perennially popular 'Chuck Norris' meme and Google searches for 'cute cats'. Utilizing data from Google Trends and, of course, plenty of cat videos for necessary inspiration, our research team has unveiled an unexpected connection that may just whisker away any preconceived notions about online trends. With a correlation coefficient of 0.9083844 and p < 0.01 spanning the years 2006 to 2023, our findings suggest that the enduring allure of the Chuck Norris meme may be purrfectly correlated with the insatiable human penchant for adorable feline content. Our results not only reveal the interplay between digital humor and the undeniable global attraction to all things cats, but they also highlight the curious ways in which internet culture continues to surprise us. This paper adds a new dimension to the study of memes and internet phenomena, demonstrating that even the most unexpected connections can prove to be statistically significant. So, to paraphrase Chuck Norris himself, it seems that the impact of his meme is nothing to take lightly—just like the irresistible charm of 'cute cats' on the internet.

[[LITERATURE REVIEW]]
The exploration of internet phenomena and their unanticipated connections has spurred a multitude of scholarly inquiries, inviting investigation into the enigmatic world of digital culture. Smith (2015) asserts that memes, as manifestations of popular culture in the digital age, not only serve as a barometer of societal trends but also prompt contemplation of the broader implications of internet humor. Doe (2018) further elaborates on the pervasive influence of memes, emphasizing their capacity to spark collective amusement and captivate global audiences.
In a similar vein, Jones (2020) delves into the allure of feline-themed content in online spaces, underscoreding the irresistible charm of 'cute cats' as a potent source of internet fascination. This sentiment is echoed by the work of Brown (2017), who emphasizes the universal appeal of adorable feline imagery in internet subcultures, a sentiment that is paw-sitively hard to ignore. The widespread popularity of cat videos and images has not only solidified the feline species' dominion over the digital realm but also engendered a virtual cult following akin to the fervor of Chuck Norris devotees.
Moving beyond academic literature, several non-fiction works offer complementary insights into the intersection of internet culture and humor. In "Viral: How Social Networking Is Poised to Ignite Revival" by Artest (2019), the author expounds upon the contagious nature of digital content, shedding light on the factors that contribute to the proliferation of online trends. Similarly, "The Internet is a Playground: Irreverent Correspondences of an Evil Online Genius" by Thorne (2010) provides a whimsical yet incisive commentary on the idiosyncrasies of internet culture, offering a window into the capricious and unpredictable nature of online phenomena.
On a more imaginative note, fiction works such as "The Adventures of Captain Underpants" by Pilkey (1997) and "Alice's Adventures in Wonderland" by Carroll (1865) beckon readers into whimsical realms where the boundaries of reality and absurdity blur, mirroring the surreal juxtaposition of the Chuck Norris meme and 'cute cats' in the digital sphere. In these narratives, the unexpected and the nonsensical coalesce, much like the improbable but tangible connection between an internet meme icon and the endearing appeal of feline companions.
To supplement the theoretical underpinnings of our research, the authors draw inspiration from cinematic works that are tangentially related to the Chuck Norris meme and 'cute cats'. From cult classics like "The Matrix" to heartwarming animations such as "The Secret Life of Pets," these films evoke themes of digital subcultures, unexpected alliances, and the enduring allure of anthropomorphized animals, providing a playful backdrop for contemplating the interplay between internet oddities and popular culture.

[[RESULTS]]
The analysis of data spanning from 2006 to 2023 revealed a striking correlation between the popularity of the 'Chuck Norris' meme and Google searches for 'cute cats'. Our calculations yielded a correlation coefficient of 0.9083844, indicating a strong positive relationship between the two variables. Moreover, the R-squared value of 0.8251622 further supported this observation, signifying that approximately 82.5% of the variation in 'cute cat' searches could be explained by the variability in the 'Chuck Norris' meme popularity. This correlation was found to be statistically significant, with a p-value of less than 0.01.
Figure 1 showcases a scatterplot of the data, visually representing the robust correlation between the 'Chuck Norris' meme and 'cute cat' searches. The plot unmistakably illustrates the upward trend, fittingly reminiscent of a kitten playfully chasing after a comically exaggerated internet meme.
The outcome of our study demonstrates that the enduring appeal of the 'Chuck Norris' meme is remarkably intertwined with the proclivity for endearing feline content, shedding light on the unpredictable and often whimsical nature of internet culture. This finding invites us to ponder the potential causality underlying this association and raises intriguing questions about the interconnected web of online phenomena.
In summary, our research has unmasked a surprisingly strong correlation between the 'Chuck Norris' meme and Google searches for 'cute cats', thereby prompting further exploration into the underlying mechanisms driving this unexpected relationship. This duality of digital humor and feline fascination encapsulates the peculiar, yet captivating, nature of online trends, reminding us that in the realm of internet culture, even the most improbable connections can hold genuine statistical significance.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The compelling findings of our study not only corroborate existing literature on memes and digital culture but also engender a feline-fuelled contemplation of the whimsical interconnectedness of online phenomena. Our results echo the sentiments of Smith (2015) and Doe (2018), who emphasize the pervasive influence of memes and their capacity to captivate global audiences. The unexpected alliance between the enduring 'Chuck Norris' meme and the perennial charm of 'cute cats' indeed stands as a testament to the enigmatic allure of internet humor and cultural manifestations, resonating with the prior scholarly discourse.

As we consider the entangled web of internet oddities and popular culture, it is impossible to overlook the parallels between our findings and the non-fiction works of Artest (2019) and Thorne (2010). Just as these authors expound upon the contagious nature of digital content and the capricious, unpredictable aspects of online phenomena, our research spotlights the serendipitous yet statistically significant correlation between an iconic internet meme and the irresistible pull of adorable feline companions. The unexpected connection uncovered in our study harkens back to the humor and unpredictability emphasized in these works, asserting once again that the internet is indeed a playground of delightful surprises.

Moreover, the interplay between the Chuck Norris meme and 'cute cats' resonates with the imaginative narratives of Pilkey (1997) and Carroll (1865), where reality and absurdity seamlessly intertwine. In a similarly whimsical vein, our findings reveal the tangible link between two seemingly disparate entities, prompting contemplation of the surreal and nonsensical aspects of internet culture that mirror the fantastical narratives of these authors.

All in all, the robust correlation between the 'Chuck Norris' meme and Google searches for 'cute cats' spotlighted in our study underscores the idiosyncrasies and inherent unpredictability of internet culture, emphasizing that even the most unlikely connections can bear genuine statistical significance. Our results not only contribute to the broader discourse on digital phenomena and humor but also invite further exploration into the curious mechanisms underpinning the interplay between disparate facets of online culture.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Popularity of the 'chuck norris' meme and Google searches for 'cute cats'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
"The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches"

[[ABSTRACT]]
In this meta-analysis, we unpack the complex and, frankly, surprising relationship between the perennially popular 'Chuck Norris' meme and Google searches for 'cute cats'. Utilizing data from Google Trends and, of course, plenty of cat videos for necessary inspiration, our research team has unveiled an unexpected connection that may just whisker away any preconceived notions about online trends. With a correlation coefficient of 0.9083844 and p < 0.01 spanning the years 2006 to 2023, our findings suggest that the enduring allure of the Chuck Norris meme may be purrfectly correlated with the insatiable human penchant for adorable feline content. Our results not only reveal the interplay between digital humor and the undeniable global attraction to all things cats, but they also highlight the curious ways in which internet culture continues to surprise us. This paper adds a new dimension to the study of memes and internet phenomena, demonstrating that even the most unexpected connections can prove to be statistically significant. So, to paraphrase Chuck Norris himself, it seems that the impact of his meme is nothing to take lightly—just like the irresistible charm of 'cute cats' on the internet.

[[INTRDUCTION]]
The digital landscape has witnessed the emergence and evolution of countless memes, each leaving an indelible paw print on internet culture. Among these, the 'Chuck Norris' meme stands as an enduring monument to internet humor, embodying the comically exaggerated prowess of its eponymous subject. Concurrently, the virtual realm has also been engulfed in a veritable deluge of feline-themed content, with 'cute cats' reigning as one of the most ubiquitous and beloved subjects of online fascination. While the purportedly arbitrary nature of internet trends often leads to the assumption that the juxtaposition of these two phenomena is entirely coincidental, our research endeavors to unravel the enigmatic web that links the 'Chuck Norris' meme and Google searches for 'cute cats'.
The allure of memes as a subject of inquiry lies in their ability to both captivate and confound, much like a feline conqueror surveying its domain from a windowsill. Our investigation, informed by the burgeoning field of memetics, seeks to shed light on the underexplored intersection of online humor and the collective obsession with endearingly fluffy creatures. By contextualizing our analysis within the broader framework of internet culture, we aim to discern whether the prevalent Chuck Norris meme exerts a discernible influence on the frequency and intensity of 'cute cat' searches, or whether these phenomena exist in parallel universes, bridged solely by the capricious currents of cyberspace.
No whisker of scholarship can fully prepare one for the dance of data and the graceful pounce of statistical analysis that characterizes this inquiry. With the tenacity of a determined tabby hunting down a tantalizing laser pointer, our approach deftly navigates the causal labyrinth that tethers two seemingly disparate online phenomena. As we unveil our findings, it becomes evident that the chase for understanding the intricacies of internet culture leads us not only to the cerebral realms of correlation coefficients and significance levels, but also to the more whimsical domains of digital humor and the human fascination with feline companions.
In the subsequent sections of this paper, we will beguile our readers with a synthesis of past research, an account of our methodological approach, and, eventually, an unveiling of the startling relationships that underpin the Chuck Norris meme and 'cute cat' searches on the world's most popular search engine. In examining these interwoven phenomena, we also endeavor to evoke a sense of curiosity and, dare I say, amusement at the unexpected connections that unfurl before us. So, steel yourselves, dear reader, for a journey through the labyrinthine domains of internet oddities and statistical surprises. For if memes and feline curiosity have taught us anything, it is that the interplay of seemingly incongruous elements can yield pawsitively enlightening revelations.

[[RESULTS]]
The analysis of data spanning from 2006 to 2023 revealed a striking correlation between the popularity of the 'Chuck Norris' meme and Google searches for 'cute cats'. Our calculations yielded a correlation coefficient of 0.9083844, indicating a strong positive relationship between the two variables. Moreover, the R-squared value of 0.8251622 further supported this observation, signifying that approximately 82.5% of the variation in 'cute cat' searches could be explained by the variability in the 'Chuck Norris' meme popularity. This correlation was found to be statistically significant, with a p-value of less than 0.01.
Figure 1 showcases a scatterplot of the data, visually representing the robust correlation between the 'Chuck Norris' meme and 'cute cat' searches. The plot unmistakably illustrates the upward trend, fittingly reminiscent of a kitten playfully chasing after a comically exaggerated internet meme.
The outcome of our study demonstrates that the enduring appeal of the 'Chuck Norris' meme is remarkably intertwined with the proclivity for endearing feline content, shedding light on the unpredictable and often whimsical nature of internet culture. This finding invites us to ponder the potential causality underlying this association and raises intriguing questions about the interconnected web of online phenomena.
In summary, our research has unmasked a surprisingly strong correlation between the 'Chuck Norris' meme and Google searches for 'cute cats', thereby prompting further exploration into the underlying mechanisms driving this unexpected relationship. This duality of digital humor and feline fascination encapsulates the peculiar, yet captivating, nature of online trends, reminding us that in the realm of internet culture, even the most improbable connections can hold genuine statistical significance.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unraveled a statistically significant correlation between the enduring charm of the 'Chuck Norris' meme and the insatiable human penchant for Google searches for 'cute cats'. The robust correlation coefficient of 0.9083844 and the p-value of less than 0.01 firmly establish a compelling association between these seemingly unrelated phenomena. It appears that the internet's affection for feline adorableness is not just a fluke, but rather a consequence of the gravitational pull of Chuck Norris's digital persona, much like a cat being drawn to a cozy cardboard box.

Our findings highlight the intriguing interplay between digital humor and the global attraction to all things cats, shedding light on the capricious and oftentimes unpredictable nature of internet culture. It seems that even the most unexpected connections can prove to be statistically significant, affirming the adage that truth is indeed stranger than internet fiction.

This study underscores the need for further examination of the underlying mechanisms driving this unexpected relationship. As we meow-ve forward in the realm of internet culture, it becomes evident that the impact of the Chuck Norris meme is nothing to take lightly—much like the irresistible charm of 'cute cats' on the internet.

In the immortal words of Chuck Norris, "There is no theory of evolution. Just a list of creatures I have allowed to live," and it seems that the 'Chuck Norris' meme has allowed the propagation of feline fascination in the virtual domain. As such, it is safe to say that further research in this area is truly unnecessary. After all, why continue to explore when we have already uncovered the purrfect correlation between the 'Chuck Norris' meme and the universal magnetism of 'cute cats' on the web?

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 The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Internet Memes and Cultural Psychology

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 The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Internet Culture Research and Analysis

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 The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches with an abstract of In this meta-analysis, we unpack the complex and, frankly, surprising relationship between the perennially popular 'Chuck Norris' meme and Google searches for 'cute cats'. Utilizing data from Google Trends and, of course, plenty of cat videos for necessary inspiration, our research team has unveiled an unexpected connection that may just whisker away any preconceived notions about online trends. With a correlation coefficient of 0.9083844 and p < 0.01 spanning the years 2006 to 2023, our findings suggest that the enduring allure of the Chuck Norris meme may be purrfectly correlated with the insatiable human penchant for adorable feline content. Our results not only reveal the interplay between digital humor and the undeniable global attraction to all things cats, but they also highlight the curious ways in which internet culture continues to surprise us. This paper adds a new dimension to the study of memes and internet phenomena, demonstrating that even the most unexpected connections can prove to be statistically significant. So, to paraphrase Chuck Norris himself, it seems that the impact of his meme is nothing to take lightly—just like the irresistible charm of 'cute cats' on the internet.

ChatGPT:

Chuck Norris meme, cute cat searches, internet memes, correlation coefficient, Google Trends, digital humor, internet culture, cat videos, online trends, statistical significance

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

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Data details

Popularity of the 'chuck norris' meme
Detailed data title: Relative volume of Google searches for 'chuck norris meme' (without quotes, in the United States)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.

See what else correlates with Popularity of the 'chuck norris' meme

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'

Correlation r = 0.9083844 (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 = 0.8251622 (Coefficient of determination)
This means 82.5% of the change in the one variable (i.e., Google searches for 'cute cats') is predictable based on the change in the other (i.e., Popularity of the 'chuck norris' meme) over the 18 years from 2006 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.9E-7.^Show 0.0000001866063861543481000000
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 0.91 in 1.9E-5% of random cases. Said differently, if you correlated 5,358,873 random variables^Note You don't actually need 5 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 17 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 17 because we have two variables measured over a period of 18 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.

[ 0.77, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023
Popularity of the 'chuck norris' meme (Relative popularity)	6.55556	6.44444	2.4	2.54545	4.4	11.5	37.75	37.75	41.6667	51	55.75	64	48.0833	40	36.0833	16.0833	14.9167	15.25
Google searches for 'cute cats' (Rel. search volume)	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	55.3333

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

Try it yourself

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

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([6.55556,6.44444,2.4,2.54545,4.4,11.5,37.75,37.75,41.6667,51,55.75,64,48.0833,40,36.0833,16.0833,14.9167,15.25,])
array_2 = np.array([40.25,38.0833,40.75,40.25,42.6667,46.5833,61.4167,68.5,75.0833,86.6667,85.3333,76.25,62.6667,57.4167,60.4167,54.4167,58.75,55.3333,])
array_1_name = "Popularity of the 'chuck norris' meme"
array_2_name = "Google searches for 'cute cats'"

# 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 Popularity of the 'chuck norris' meme
Line chart for only Google searches for 'cute cats'
AI-generated correlation image
The spurious research paper: The Cat's Meow: Exploring the Chuck Norris Meme and Its Impact on Cute Cat Searches

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Correlation ID: 5796 · Black Variable ID: 25159 · Red Variable ID: 1476


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