Spurious correlation #4,635 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air pollution in Reno, Nevada and the second variable is Google searches for 'Gangnam Style'. The chart goes from 2012 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 Air pollution in Reno, Nevada and the second variable is Google searches for 'Gangnam Style'. The chart goes from 2012 to 2023, and the two variables track closely in value over that time.

Download png, svg

AI explanation

Less air pollution means clearer thinking. Clearer thinking meant no one felt the urge to Gangnam Style.

^{Show image generation prompt} Model: dalle-3
Prompt: [ inspired by bauhaus ] Generate an image of Reno, Nevada with a clean, minimalist aesthetic. Show a bustling city scene with people walking freely in clear, pollution-free air. The sky should be clear, and the overall composition should convey a sense of focus and mindfulness. Avoid depicting the Gangnam Style dance, and instead highlight the serene atmosphere and lively activity in the city. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Air pollution in Reno, Nevada and Google searches for 'Gangnam Style'. 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: Minimalism Pop art Cutsy graphics Cutsy graphics inspired by bauhaus
ChatGPT: inspired by bauhaus

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Air pollution in Reno, Nevada and Google searches for 'Gangnam Style', in the following situation: Less air pollution means clearer thinking. Clearer thinking meant no one felt the urge to Gangnam Style.. Keep the description simple.
ChatGPT: In Reno, Nevada, the sky is clear and the air is fresh as people walk freely without masks. The city is bustling with activity, but no one seems to be doing the iconic "Gangnam Style" dance, as their minds are focused and clear from the pollution-free air.

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: [ inspired by bauhaus ] and depicting this scene: In Reno, Nevada, the sky is clear and the air is fresh as people walk freely without masks. The city is bustling with activity, but no one seems to be doing the iconic "Gangnam Style" dance, as their minds are focused and clear from the pollution-free air. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ inspired by bauhaus ] Generate an image of Reno, Nevada with a clean, minimalist aesthetic. Show a bustling city scene with people walking freely in clear, pollution-free air. The sky should be clear, and the overall composition should convey a sense of focus and mindfulness. Avoid depicting the Gangnam Style dance, and instead highlight the serene atmosphere and lively activity in the city.

*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 a decrease in Air pollution in Reno, Nevada caused Gangnam Style (Google searches for 'Gangnam Style') to decrease.

AI academic paper

(Because p < 0.01)

The Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno

The Journal of Comical Environmental Studies

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 Air pollution in Reno, Nevada and Google searches for 'Gangnam Style'. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
The Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno

[[ABSTRACT]]
In this groundbreaking study, we delve into the obscure yet mysteriously exhilarating connection between air pollution in Reno, Nevada, and the Google searches for the infamous "Gangnam Style" phenomenon. While this may seem like an unusual pairing, our findings reveal a significant correlation between the two, prompting an exploration of the underlying factors and potential implications.

Venturing into uncharted territory, we harnessed data from the Environmental Protection Agency to quantify the levels of air pollution in Reno over the years. Simultaneously, we plumbed the depths of Google Trends to extract the ebbs and flows of "Gangnam Style" searches within the region. Unsurprisingly, our team's enthusiasm was palpable, and we eagerly awaited the results, crossing our fingers for a paradigm-shifting revelation.

Upon conducting rigorous analyses, including the esteemed Pearson correlation coefficient and the ever-elusive p-value, we were met with a staggering correlation coefficient of 0.8017114, signifying a robust relationship. The p-value, donning its cloak of statistical significance (p < 0.01), further fortified our burgeoning theory.

Additionally, we uncovered a time window spanning from 2012 to 2023, during which the synergy between air pollution and "Gangnam Style" searches was most pronounced, akin to a harmonious dance. You could say our findings were as clear as the atmospheric haze on a smoggy day in Reno!

As we marveled at the peculiar bond between these seemingly disparate elements, we couldn't help but reflect on a fitting dad joke: What do you get when you cross air pollution with "Gangnam Style"? A breathless pursuit of K-pop amidst an ozone-induced frenzy!

Overall, our research illuminates an unconventional avenue of inquiry, inviting further exploration into the interplay between cultural phenomena and environmental factors. So, let's saddle up and ride into the sunset of knowledge, equipped with data that merited a collective "Eh, sexy statistics!"

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the saying goes, "What happens in Reno stays in Reno," but we beg to differ. In this pursuit of unraveling the enigmatic web of correlations, we stumbled upon a curious nexus: the intertwining trajectories of air pollution in Reno, Nevada, and the meteoric rise of Google searches for the sensational "Gangnam Style." It's a tale as old as time – well, at least as old as 2012.
Picture this: A dusty town nestled amid the Sierra Nevada mountains, where the air quality oscillates like a pendulum and the faint strains of "Gangnam Style" echo through the streets. One might ponder, "What does air pollution have to do with a globally infectious K-pop hit?" Well, as we embarked on this multidimensional odyssey, we were determined to bridge this gap, armed with equal parts scientific rigor and whimsical curiosity. After all, every study could use a healthy dose of Gangnam jive, don't you think?
With a twinkle in our eyes and a spring in our statistical step, we delved into the realm of data extraction and manipulation, like cowboys wrangling elusive cattle. As we corralled the voluminous information from the Environmental Protection Agency and Google Trends, we couldn't help but muse – are we embarking on a modern-day Gold Rush, with data nuggets as our coveted treasures? Our quest was grander than a mere statistical analysis; it was an expedition into the unknown, propelled by an insatiable thirst for discovery.
Gazing upon the prodigious dataset, we couldn't shake the feeling that we were about to unveil a hidden gem, akin to stumbling upon a cleverly disguised Easter egg. As the numbers danced before our eyes, we found ourselves embracing the unexpected humor in our rigorous pursuits, much like a well-crafted dad joke waiting to be delivered at a moment's notice. Ah, the serendipity of research – it's like finding a surprise punchline in the midst of a serious conversation.
But I digress; let's circle back to the crux of our investigation. Our study seeks to untangle the intricate relationship between air pollution and the "Gangnam Style" phenomenon, shedding light on the convergence of disparate elements in a way that would make even the most discerning connoisseur of eccentric correlations raise an eyebrow. So, saddle up and join us in this contemplation of culture, environment, and the delightfully unexpected connections that lie in their midst.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The connection between environmental factors and cultural phenomena has captivated researchers and enthusiasts alike. Numerous studies have sought to unravel the intricate dance between these seemingly disparate elements - much like trying to find rhythm in a waltz between air molecules and pop music. In "Smith et al.," the authors find lorem and ipsum pertaining to the impact of environmental conditions on societal behavior, laying the groundwork for our exploration of the connection between air pollution in Reno, Nevada, and the Google searches for "Gangnam Style."

As we wade through the sea of literature, we encounter "Doe and Jones," who delve into the effects of air pollution on psychological well-being, reminding us that even the air we breathe can carry a tune of varied emotions and responses. It seems the polluted air is not only full of particles but also potential plot twists in the grand narrative of cultural phenomena.

Turning the pages further, we encounter "Air Pollution and Its Affect on Society" by John Cleanair, a notably descriptive and straightforward title that offers insights into how air pollution manifests in everyday life. Little did we know that this literary treasure trove would inform our understanding of the unexpected phenomenon we sought to uncover.

Venturing beyond the realms of non-fiction, we cast our gaze upon "The Great Smog of Gangnam" by Jane Fictitious, a novel that, although fictional, captures the essence of a bewitching interplay between a metropolitan landscape and a viral cultural trend. It's as if the pages of this tale were whispering about the hidden connections we were about to unearth.

And then, dear readers, brace yourselves. In our pursuit of knowledge, we went where no researcher had gone before. We delved into the mysterious realm of... CVS receipts. Yes, you read that right. We scoured countless CVS receipts, hoping to find some cryptic clues about the air pollution-Gangnam Style nexus. Alas, we only found discounts on toilet paper and the occasional coupon for breath mints. But hey, we left no stone unturned in our quest for enlightenment, even if it meant combing through grocery store ephemera!

With each page turned and each data point analyzed, our journey took on a life of its own, akin to a rollercoaster ride through the whimsical and the bizarre. And as we emerged from this literary extravaganza, we came to a singular realization: the unanswered questions in research are much like the elusive last slice of pizza at a party – everyone wants it, but only a few get to savor it.

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 Air pollution in Reno, Nevada and Google searches for 'Gangnam Style'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from Environmental Protection Agency and Google Trends . You used data from 2012 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 Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno

[[ABSTRACT]]
In this groundbreaking study, we delve into the obscure yet mysteriously exhilarating connection between air pollution in Reno, Nevada, and the Google searches for the infamous "Gangnam Style" phenomenon. While this may seem like an unusual pairing, our findings reveal a significant correlation between the two, prompting an exploration of the underlying factors and potential implications.

Venturing into uncharted territory, we harnessed data from the Environmental Protection Agency to quantify the levels of air pollution in Reno over the years. Simultaneously, we plumbed the depths of Google Trends to extract the ebbs and flows of "Gangnam Style" searches within the region. Unsurprisingly, our team's enthusiasm was palpable, and we eagerly awaited the results, crossing our fingers for a paradigm-shifting revelation.

Upon conducting rigorous analyses, including the esteemed Pearson correlation coefficient and the ever-elusive p-value, we were met with a staggering correlation coefficient of 0.8017114, signifying a robust relationship. The p-value, donning its cloak of statistical significance (p < 0.01), further fortified our burgeoning theory.

Additionally, we uncovered a time window spanning from 2012 to 2023, during which the synergy between air pollution and "Gangnam Style" searches was most pronounced, akin to a harmonious dance. You could say our findings were as clear as the atmospheric haze on a smoggy day in Reno!

As we marveled at the peculiar bond between these seemingly disparate elements, we couldn't help but reflect on a fitting dad joke: What do you get when you cross air pollution with "Gangnam Style"? A breathless pursuit of K-pop amidst an ozone-induced frenzy!

Overall, our research illuminates an unconventional avenue of inquiry, inviting further exploration into the interplay between cultural phenomena and environmental factors. So, let's saddle up and ride into the sunset of knowledge, equipped with data that merited a collective "Eh, sexy statistics!"

[[INTRODUCTION]]
As the saying goes, "What happens in Reno stays in Reno," but we beg to differ. In this pursuit of unraveling the enigmatic web of correlations, we stumbled upon a curious nexus: the intertwining trajectories of air pollution in Reno, Nevada, and the meteoric rise of Google searches for the sensational "Gangnam Style." It's a tale as old as time – well, at least as old as 2012.
Picture this: A dusty town nestled amid the Sierra Nevada mountains, where the air quality oscillates like a pendulum and the faint strains of "Gangnam Style" echo through the streets. One might ponder, "What does air pollution have to do with a globally infectious K-pop hit?" Well, as we embarked on this multidimensional odyssey, we were determined to bridge this gap, armed with equal parts scientific rigor and whimsical curiosity. After all, every study could use a healthy dose of Gangnam jive, don't you think?
With a twinkle in our eyes and a spring in our statistical step, we delved into the realm of data extraction and manipulation, like cowboys wrangling elusive cattle. As we corralled the voluminous information from the Environmental Protection Agency and Google Trends, we couldn't help but muse – are we embarking on a modern-day Gold Rush, with data nuggets as our coveted treasures? Our quest was grander than a mere statistical analysis; it was an expedition into the unknown, propelled by an insatiable thirst for discovery.
Gazing upon the prodigious dataset, we couldn't shake the feeling that we were about to unveil a hidden gem, akin to stumbling upon a cleverly disguised Easter egg. As the numbers danced before our eyes, we found ourselves embracing the unexpected humor in our rigorous pursuits, much like a well-crafted dad joke waiting to be delivered at a moment's notice. Ah, the serendipity of research – it's like finding a surprise punchline in the midst of a serious conversation.
But I digress; let's circle back to the crux of our investigation. Our study seeks to untangle the intricate relationship between air pollution and the "Gangnam Style" phenomenon, shedding light on the convergence of disparate elements in a way that would make even the most discerning connoisseur of eccentric correlations raise an eyebrow. So, saddle up and join us in this contemplation of culture, environment, and the delightfully unexpected connections that lie in their midst.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To embark on our whimsical yet rigorous investigation, we employed an eclectic mix of data collection methods that can be likened to a delightful fusion dish, blending the flavors of scientific precision with a sprinkle of waggish charm. Just like crafting a culinary masterpiece, our approach required careful consideration of ingredients and a dash of creative flair – because what's research without a pinch of pizzazz?

Data Collection: The Environmental Protection Agency (EPA) served as our primary source of air pollution data, offering a smorgasbord of pollutant measurements to satiate our hunger for environmental insights. We meticulously combed through air quality indices, particulate matter concentrations, and gaseous emissions, analogous to a treasure hunt for the elusive connective tissue between air pollution and "Gangnam Style" fervor.

Dad Joke Alert: Why did the air pollution dataset break up with the others? It just needed some space – preferably devoid of harmful pollutants!

Meanwhile, we harnessed the ethereal power of Google Trends to capture the zeitgeist of "Gangnam Style" searches in the Reno, Nevada region. Like intrepid digital anthropologists, we scoured the virtual landscape for temporal spikes and valleys in search activity, akin to following the footprints of a cultural phenomenon in the digital sand. Our query was simple yet profound: How does a catchy Korean pop tune harmonize with the ebb and flow of atmospheric pollutants? It's a conundrum worthy of a whimsical limerick, wouldn't you agree?

Data Preprocessing: Ah, the crucible of data preprocessing – where raw information metamorphoses into a refined concoction, much like a scientific alchemist transmuting base metals into gold. We sifted through copious volumes of air pollution and search query data, cleansing the proverbial grains of noise from the data haystack. Outliers were scrutinized with an eagle eye, and missing values were coaxed into revealing their absence with gentle yet insistent nudges, as if nudging a reluctant cat off the keyboard.

Dad Joke Alert: Why don't data points ever get lonely? Because they always make meaningful connections – and perhaps a few statistically significant ones!

Statistical Analysis: As pioneers in the domain of peculiar correlations, we employed the venerable Pearson correlation coefficient to quantify the relationship between air pollution levels and "Gangnam Style" searches. This statistical stalwart served as our compass in navigating the tumultuous seas of correlation, guiding us toward the elusive shores of scientific significance. Additionally, we unleashed the formidable power of time series analysis to discern the temporal dynamics of this unlikely duo, illuminating the peaks and plateaus where air pollution and K-pop harmonized like an unexpected duet.

Dad Joke Alert: What did the statistician say to the geologist? Let's put our heads together and unearth some rock-solid correlations – and maybe a few puns along the way!

Temporal Analysis: Our exploration of the temporal facets of our data conjured visions of a grand symphony, with air pollution and "Gangnam Style" entwining in a choreographed ballet of statistical intrigue. We examined seasonal trends, cyclic patterns, and transient anomalies with the fervor of ardent detectives, chasing clues in a mystery novel that defied conventional genres. As the data unfolded before us, we couldn't help but appreciate the quirky humor nestled in the midst of our intellectual pursuits, much like discovering a well-placed punchline in a labyrinthine joke.

Dad Joke Alert: Why did the statistician bring a ladder to the bar? Because he heard the drinks were on the house – and he was eager to climb the heights of statistical significance!

In summary, our methodology embraced a harmonious blend of scientific rigor, digital sleuthing, and a sprinkle of whimsy – much like a delectable recipe for uncovering correlations in unconventional domains. With this tapestry of methodological ingenuity, we set the stage for a revelatory exploration of the symbiotic dance between air pollution and "Gangnam Style" searches, inviting the scientific community to join us in this merry jig of discovery. And who knows – perhaps amidst our findings, we'll stumble upon a few surprising punchlines waiting to be unveiled.

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 Air pollution in Reno, Nevada and Google searches for 'Gangnam Style'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Limit your response to 500 tokens.

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

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

[[TITLE]]
The Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno

[[ABSTRACT]]
In this groundbreaking study, we delve into the obscure yet mysteriously exhilarating connection between air pollution in Reno, Nevada, and the Google searches for the infamous "Gangnam Style" phenomenon. While this may seem like an unusual pairing, our findings reveal a significant correlation between the two, prompting an exploration of the underlying factors and potential implications.

Venturing into uncharted territory, we harnessed data from the Environmental Protection Agency to quantify the levels of air pollution in Reno over the years. Simultaneously, we plumbed the depths of Google Trends to extract the ebbs and flows of "Gangnam Style" searches within the region. Unsurprisingly, our team's enthusiasm was palpable, and we eagerly awaited the results, crossing our fingers for a paradigm-shifting revelation.

Upon conducting rigorous analyses, including the esteemed Pearson correlation coefficient and the ever-elusive p-value, we were met with a staggering correlation coefficient of 0.8017114, signifying a robust relationship. The p-value, donning its cloak of statistical significance (p < 0.01), further fortified our burgeoning theory.

Additionally, we uncovered a time window spanning from 2012 to 2023, during which the synergy between air pollution and "Gangnam Style" searches was most pronounced, akin to a harmonious dance. You could say our findings were as clear as the atmospheric haze on a smoggy day in Reno!

As we marveled at the peculiar bond between these seemingly disparate elements, we couldn't help but reflect on a fitting dad joke: What do you get when you cross air pollution with "Gangnam Style"? A breathless pursuit of K-pop amidst an ozone-induced frenzy!

Overall, our research illuminates an unconventional avenue of inquiry, inviting further exploration into the interplay between cultural phenomena and environmental factors. So, let's saddle up and ride into the sunset of knowledge, equipped with data that merited a collective "Eh, sexy statistics!"

[[LITERATURE REVIEW]]
The connection between environmental factors and cultural phenomena has captivated researchers and enthusiasts alike. Numerous studies have sought to unravel the intricate dance between these seemingly disparate elements - much like trying to find rhythm in a waltz between air molecules and pop music. In "Smith et al.," the authors find lorem and ipsum pertaining to the impact of environmental conditions on societal behavior, laying the groundwork for our exploration of the connection between air pollution in Reno, Nevada, and the Google searches for "Gangnam Style."
As we wade through the sea of literature, we encounter "Doe and Jones," who delve into the effects of air pollution on psychological well-being, reminding us that even the air we breathe can carry a tune of varied emotions and responses. It seems the polluted air is not only full of particles but also potential plot twists in the grand narrative of cultural phenomena.
Turning the pages further, we encounter "Air Pollution and Its Affect on Society" by John Cleanair, a notably descriptive and straightforward title that offers insights into how air pollution manifests in everyday life. Little did we know that this literary treasure trove would inform our understanding of the unexpected phenomenon we sought to uncover.
Venturing beyond the realms of non-fiction, we cast our gaze upon "The Great Smog of Gangnam" by Jane Fictitious, a novel that, although fictional, captures the essence of a bewitching interplay between a metropolitan landscape and a viral cultural trend. It's as if the pages of this tale were whispering about the hidden connections we were about to unearth.
And then, dear readers, brace yourselves. In our pursuit of knowledge, we went where no researcher had gone before. We delved into the mysterious realm of... CVS receipts. Yes, you read that right. We scoured countless CVS receipts, hoping to find some cryptic clues about the air pollution-Gangnam Style nexus. Alas, we only found discounts on toilet paper and the occasional coupon for breath mints. But hey, we left no stone unturned in our quest for enlightenment, even if it meant combing through grocery store ephemera!
With each page turned and each data point analyzed, our journey took on a life of its own, akin to a rollercoaster ride through the whimsical and the bizarre. And as we emerged from this literary extravaganza, we came to a singular realization: the unanswered questions in research are much like the elusive last slice of pizza at a party – everyone wants it, but only a few get to savor it.

[[RESULTS]]
Our findings unveiled a substantial correlation between air pollution in Reno, Nevada, and the frequency of Google searches for "Gangnam Style." The Pearson correlation coefficient of 0.8017114 highlighted a strong positive relationship between these seemingly unrelated variables. It seems the air pollution in Reno wasn't the only thing causing people to gasp – the allure of "Gangnam Style" had a similar effect!
On the statistical dance floor, the computed r-squared of 0.6427411 elegantly demonstrated that approximately 64% of the variability in "Gangnam Style" searches could be explained by variations in air pollution levels. It's as if the air pollution served as the DJ, setting the tempo for the rhythmic outbursts of "Gangnam Style" queries.
And let's not forget about our dear friend, the p-value. With a p-value of less than 0.01, our results didn't just make heads turn; they practically waltzed in and demanded attention. This indicated that the observed correlation was highly unlikely to be a product of random chance, lending further credence to the robust association we uncovered.
Fig. 1 illustrates this captivating relationship with a scatterplot that showcases the tight clustering of data points, akin to a harmonious choreography between air pollution levels and "Gangnam Style" searches. It's almost as if the data itself wanted to bust out into a spontaneous dance routine – though we can't confirm whether it would've included any Gangnam moves.
As we pored over these intriguing results, we were struck by a poignant thought: the melding of air pollution and "Gangnam Style" searches in Reno is proof that sometimes, the most unexpected duets can produce the most captivating symphonies. It's a bit like witnessing a peculiar yet strangely delightful mash-up of musical genres – imagine a fusion of K-pop and the ominous hum of air purifiers, resulting in a symphony that leaves you simultaneously perplexed and captivated.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our findings have not only shed light on the significant correlation between air pollution in Reno, Nevada, and Google searches for "Gangnam Style," but they have also reinforced the prior research we encountered in our literary escapade. As we strap on our intellectual dancing shoes and waltz through the implications, it's crucial to underscore the importance of our results in illuminating the nuanced interplay between environmental factors and cultural trends.

Firstly, the work of Smith et al. provided a sturdy launching pad for our investigation, emphasizing the impact of environmental conditions on societal behavior. It's as if they handed us the sheet music to an enthralling composition, and we, with bated breath, awaited the crescendo – which, in this case, manifested as a robust correlation coefficient of 0.8017114. Talk about a symphony of statistical significance indeed!

The literature also introduced us to the notion that air pollution can affect psychological well-being, as deftly explored by Doe and Jones. Our investigation echoes their sentiments by revealing a substantial association between air pollution and the fervor for "Gangnam Style." The psychological impact of air pollution appears to extend beyond conventional measures and dance into the realm of cultural preferences, almost like the soundtrack to an unpredictable psychological thriller – or should we say "thriller, Gangnam Style"?

Moreover, our results align with Cleanair's observations regarding the manifestation of air pollution in everyday life, albeit in an unexpectedly harmonious manner. The air pollution in Reno seems to have choreographed an intriguing dance with the cultural phenomenon of "Gangnam Style," inviting us to contemplate the intricate ways in which environmental factors can sway popular interests. It's like witnessing an impromptu tango between nature and nurture, with "Gangnam Style" as the tantalizing partner.

And let's not forget Jane Fictitious's "The Great Smog of Gangnam," which, despite its fictional nature, inadvertently foreshadowed our uncanny findings. Who would have thought that a fictional work would serve as a harbinger of our scholarly excavation into the synergy between smog and social media searches? It's almost as if we were living out a real-life mystery novel, with "Gangnam Style" as the enigmatic detective cracking yet another case of environmental intrigue.

As we reflect on these theoretical underpinnings, we can't help but savor the irony – or should we say "iron-K-pop?" – of our discovery. Our research has not only validated prior insights but has also transcended the bounds of conventional knowledge, ushering in a new era of interdisciplinary inquiry at the intersection of environmental science and popular culture. It's akin to a scientific rendition of "Gangnam Style," where the unexpected becomes the norm, and the unconventional takes center stage.

With our discussion poised on the cusp of a collaborative tango between air pollution and "Gangnam Style," we leave you with a parting thought: while the road to uncovering these enthralling correlations may have been an intellectual whirlwind, our findings resonate as a testament to the unyielding curiosity of scientific inquiry, where even the most unsuspecting phenomena can entwine in a mesmerizing duet. Just remember, when it comes to exploring the mysteries of research, there's no such thing as too much pun – er, fun!

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 Air pollution in Reno, Nevada and Google searches for 'Gangnam Style'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno

[[ABSTRACT]]
In this groundbreaking study, we delve into the obscure yet mysteriously exhilarating connection between air pollution in Reno, Nevada, and the Google searches for the infamous "Gangnam Style" phenomenon. While this may seem like an unusual pairing, our findings reveal a significant correlation between the two, prompting an exploration of the underlying factors and potential implications.

Venturing into uncharted territory, we harnessed data from the Environmental Protection Agency to quantify the levels of air pollution in Reno over the years. Simultaneously, we plumbed the depths of Google Trends to extract the ebbs and flows of "Gangnam Style" searches within the region. Unsurprisingly, our team's enthusiasm was palpable, and we eagerly awaited the results, crossing our fingers for a paradigm-shifting revelation.

Upon conducting rigorous analyses, including the esteemed Pearson correlation coefficient and the ever-elusive p-value, we were met with a staggering correlation coefficient of 0.8017114, signifying a robust relationship. The p-value, donning its cloak of statistical significance (p < 0.01), further fortified our burgeoning theory.

Additionally, we uncovered a time window spanning from 2012 to 2023, during which the synergy between air pollution and "Gangnam Style" searches was most pronounced, akin to a harmonious dance. You could say our findings were as clear as the atmospheric haze on a smoggy day in Reno!

As we marveled at the peculiar bond between these seemingly disparate elements, we couldn't help but reflect on a fitting dad joke: What do you get when you cross air pollution with "Gangnam Style"? A breathless pursuit of K-pop amidst an ozone-induced frenzy!

Overall, our research illuminates an unconventional avenue of inquiry, inviting further exploration into the interplay between cultural phenomena and environmental factors. So, let's saddle up and ride into the sunset of knowledge, equipped with data that merited a collective "Eh, sexy statistics!"

[[INTRDUCTION]]
As the saying goes, "What happens in Reno stays in Reno," but we beg to differ. In this pursuit of unraveling the enigmatic web of correlations, we stumbled upon a curious nexus: the intertwining trajectories of air pollution in Reno, Nevada, and the meteoric rise of Google searches for the sensational "Gangnam Style." It's a tale as old as time – well, at least as old as 2012.
Picture this: A dusty town nestled amid the Sierra Nevada mountains, where the air quality oscillates like a pendulum and the faint strains of "Gangnam Style" echo through the streets. One might ponder, "What does air pollution have to do with a globally infectious K-pop hit?" Well, as we embarked on this multidimensional odyssey, we were determined to bridge this gap, armed with equal parts scientific rigor and whimsical curiosity. After all, every study could use a healthy dose of Gangnam jive, don't you think?
With a twinkle in our eyes and a spring in our statistical step, we delved into the realm of data extraction and manipulation, like cowboys wrangling elusive cattle. As we corralled the voluminous information from the Environmental Protection Agency and Google Trends, we couldn't help but muse – are we embarking on a modern-day Gold Rush, with data nuggets as our coveted treasures? Our quest was grander than a mere statistical analysis; it was an expedition into the unknown, propelled by an insatiable thirst for discovery.
Gazing upon the prodigious dataset, we couldn't shake the feeling that we were about to unveil a hidden gem, akin to stumbling upon a cleverly disguised Easter egg. As the numbers danced before our eyes, we found ourselves embracing the unexpected humor in our rigorous pursuits, much like a well-crafted dad joke waiting to be delivered at a moment's notice. Ah, the serendipity of research – it's like finding a surprise punchline in the midst of a serious conversation.
But I digress; let's circle back to the crux of our investigation. Our study seeks to untangle the intricate relationship between air pollution and the "Gangnam Style" phenomenon, shedding light on the convergence of disparate elements in a way that would make even the most discerning connoisseur of eccentric correlations raise an eyebrow. So, saddle up and join us in this contemplation of culture, environment, and the delightfully unexpected connections that lie in their midst.

[[RESULTS]]
Our findings unveiled a substantial correlation between air pollution in Reno, Nevada, and the frequency of Google searches for "Gangnam Style." The Pearson correlation coefficient of 0.8017114 highlighted a strong positive relationship between these seemingly unrelated variables. It seems the air pollution in Reno wasn't the only thing causing people to gasp – the allure of "Gangnam Style" had a similar effect!
On the statistical dance floor, the computed r-squared of 0.6427411 elegantly demonstrated that approximately 64% of the variability in "Gangnam Style" searches could be explained by variations in air pollution levels. It's as if the air pollution served as the DJ, setting the tempo for the rhythmic outbursts of "Gangnam Style" queries.
And let's not forget about our dear friend, the p-value. With a p-value of less than 0.01, our results didn't just make heads turn; they practically waltzed in and demanded attention. This indicated that the observed correlation was highly unlikely to be a product of random chance, lending further credence to the robust association we uncovered.
Fig. 1 illustrates this captivating relationship with a scatterplot that showcases the tight clustering of data points, akin to a harmonious choreography between air pollution levels and "Gangnam Style" searches. It's almost as if the data itself wanted to bust out into a spontaneous dance routine – though we can't confirm whether it would've included any Gangnam moves.
As we pored over these intriguing results, we were struck by a poignant thought: the melding of air pollution and "Gangnam Style" searches in Reno is proof that sometimes, the most unexpected duets can produce the most captivating symphonies. It's a bit like witnessing a peculiar yet strangely delightful mash-up of musical genres – imagine a fusion of K-pop and the ominous hum of air purifiers, resulting in a symphony that leaves you simultaneously perplexed and captivated.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unearthed a compelling association between air pollution in Reno, Nevada, and the fervent Google searches for "Gangnam Style." It appears that the invisible hand of pollution may have been orchestrating an unforeseen dance of digital curiosity, akin to a confluence between K-pop and gasp-pop. Our findings not only validate the existence of this extraordinary correlation but also hint at the nuanced interplay between cultural zeitgeists and environmental influences.

Now, it's time for a dad joke intermission: What do you get when you mix air pollution with a catchy K-pop tune? A breath of fresh "hare"! (Get it? Because rabbits are fresh air enthusiasts!)

The robust correlation coefficient and the statistically significant p-value have bolstered our confidence in the legitimacy of this unorthodox relationship. To put it simply, it's as undeniable as the allure of an infectious pop melody – or a particularly persistent earworm that refuses to vacate your mind.

But as we wrap up this investigation, it's essential to acknowledge that our study is not merely an eccentric dalliance into quirky correlations. It underscores the importance of embracing unexpected connections and fostering a sense of whimsy within the realm of scientific inquiry. After all, what's research without a sprinkle of unpredictability and a dash of serendipitous marvel?

So, in the spirit of academic integrity and lighthearted merriment, we declare with utmost conviction that no further research is needed in this area. Let's allow this peculiar symphony of air pollution and "Gangnam Style" to reverberate in the annals of research history, leaving behind a harmonious echo of unexpected correlations and lighthearted puns.

And with that, we bid adieu to this merry dance of data, leaving behind a trail of mirth and a newfound appreciation for the delightful chaos of research pursuits. Gangnam on, dear readers, and may your scientific endeavors always embody the joyous spirit of a spontaneous K-pop flash mob amidst an atmospheric haze.

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 Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Comical Environmental Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Quirky Environmental Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno with an abstract of In this groundbreaking study, we delve into the obscure yet mysteriously exhilarating connection between air pollution in Reno, Nevada, and the Google searches for the infamous "Gangnam Style" phenomenon. While this may seem like an unusual pairing, our findings reveal a significant correlation between the two, prompting an exploration of the underlying factors and potential implications.
Venturing into uncharted territory, we harnessed data from the Environmental Protection Agency to quantify the levels of air pollution in Reno over the years. Simultaneously, we plumbed the depths of Google Trends to extract the ebbs and flows of "Gangnam Style" searches within the region. Unsurprisingly, our team's enthusiasm was palpable, and we eagerly awaited the results, crossing our fingers for a paradigm-shifting revelation.
Upon conducting rigorous analyses, including the esteemed Pearson correlation coefficient and the ever-elusive p-value, we were met with a staggering correlation coefficient of 0.8017114, signifying a robust relationship. The p-value, donning its cloak of statistical significance (p < 0.01), further fortified our burgeoning theory.
Additionally, we uncovered a time window spanning from 2012 to 2023, during which the synergy between air pollution and "Gangnam Style" searches was most pronounced, akin to a harmonious dance. You could say our findings were as clear as the atmospheric haze on a smoggy day in Reno!
As we marveled at the peculiar bond between these seemingly disparate elements, we couldn't help but reflect on a fitting dad joke: What do you get when you cross air pollution with "Gangnam Style"? A breathless pursuit of K-pop amidst an ozone-induced frenzy!
Overall, our research illuminates an unconventional avenue of inquiry, inviting further exploration into the interplay between cultural phenomena and environmental factors. So, let's saddle up and ride into the sunset of knowledge, equipped with data that merited a collective "Eh, sexy statistics!

ChatGPT:

"Gangnam Style" Google searches, air pollution in Reno, Nevada, correlation analysis, Google Trends, Environmental Protection Agency data, Pearson correlation coefficient, p-value, cultural phenomena, environmental factors, K-pop phenomenon, air pollution effects, data analysis, unusual correlations

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

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Data details

Air pollution in Reno, Nevada
Detailed data title: Percentage of days with moderate or worse air quality in Reno, NV
Source: Environmental Protection Agency
See what else correlates with Air pollution in Reno, Nevada

Google searches for 'Gangnam Style'
Detailed data title: Relative volume of Google searches for 'Gangnam Style' (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 'Gangnam Style'

Correlation r = 0.8017114 (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 = 0.6427411 (Coefficient of determination)
This means 64.3% of the change in the one variable (i.e., Google searches for 'Gangnam Style') is predictable based on the change in the other (i.e., Air pollution in Reno, Nevada) over the 12 years from 2012 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0017.^Show 0.0017121699158229560000000000
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 0.8 in 0.17% of random cases. Said differently, if you correlated 584 random variables^Note Which I absolutely did.
with the same 11 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.

[ 0.42, 0.94 ] 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.

	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023
Air pollution in Reno, Nevada (Bad air quality days)	60.6557	58.6301	52.8767	43.5616	36.0656	44.6575	41.6438	33.1507	34.6995	45.7534	37.2603	43.956
Google searches for 'Gangnam Style' (Rel. search volume)	36.9	20.3333	4.66667	2.83333	1.33333	1	1	1	1	1	1	1

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

Try it yourself

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

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([60.6557,58.6301,52.8767,43.5616,36.0656,44.6575,41.6438,33.1507,34.6995,45.7534,37.2603,43.956,])
array_2 = np.array([36.9,20.3333,4.66667,2.83333,1.33333,1,1,1,1,1,1,1,])
array_1_name = "Air pollution in Reno, Nevada"
array_2_name = "Google searches for 'Gangnam Style'"

# 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 Air pollution in Reno, Nevada
Line chart for only Google searches for 'Gangnam Style'
AI-generated correlation image
The spurious research paper: The Gangnam Style Google Search Gig: Grasping the Gasped Air Pollution in Reno

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Correlation ID: 4635 · Black Variable ID: 21135 · Red Variable ID: 1442


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