Spurious correlation #1,663 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is GMO use in soybeans and the second variable is Google searches for 'i cant even'. The chart goes from 2004 to 2022, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is GMO use in soybeans and the second variable is Google searches for 'i cant even'. The chart goes from 2004 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

The GMO soybeans were sending out confusing signals, leaving people feeling soy conflicted about everything else. As the soybeans grappled with their own identity crisis, it seems they were sowing the seeds of 'i cant soy even' in the hearts of internet users everywhere. It was a soy-ly misguided situation.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image that showcases photorealism, depicting a sprawling field of lush green soybean plants extending into the horizon. Within the field, there are several plants with visibly large, vibrant "GMO" labels adorning their leaves. Meanwhile, suspended in the sky above the field is a massive digital screen displaying a graph depicting a sharp increase in Google searches for "i can't even." The image should capture the contrast between the natural greenery and the technological display in a visually striking manner. 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: GMO use in soybeans and Google searches for 'i cant even'. 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: Photorealism Sci-fi fantacy A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Cybernetic art Sci-fi fantacy
ChatGPT: Photorealism

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 GMO use in soybeans and Google searches for 'i cant even' together. Keep the description simple.
ChatGPT: In the scene, there is a vast field of green soybean plants stretching into the distance. Some of the plants have large, vibrant "GMO" labels on their leaves. Meanwhile, in the sky above the field, a giant screen displays a graph showing a sharp increase in Google searches for "i can't even".

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: [ Photorealism ] and depicting this scene: In the scene, there is a vast field of green soybean plants stretching into the distance. Some of the plants have large, vibrant "GMO" labels on their leaves. Meanwhile, in the sky above the field, a giant screen displays a graph showing a sharp increase in Google searches for "i can't even". Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that showcases photorealism, depicting a sprawling field of lush green soybean plants extending into the horizon. Within the field, there are several plants with visibly large, vibrant "GMO" labels adorning their leaves. Meanwhile, suspended in the sky above the field is a massive digital screen displaying a graph depicting a sharp increase in Google searches for "i can't even." The image should capture the contrast between the natural greenery and the technological display in a visually striking manner.

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

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

AI academic paper

(Because p < 0.01)

Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection

The Journal of Agricultural Absurdity

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 GMO use in soybeans and Google searches for 'i cant even'. 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 name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection

[[ABSTRACT]]
In recent years, the prevalence of genetically modified organisms (GMOs) in soybeans has raised concerns about their potential impacts on human behavior and language trends. This study delves into the correlation between the use of GMO soybeans and the frequency of Google searches for the phrase 'i cant even'. As researchers, we couldn't even believe we were delving into this peculiar topic, but here we are.

Analyzing USDA data on GMO soybean cultivation alongside Google Trends data for 'i cant even' searches spanning 2004 to 2022, we found a remarkably strong correlation coefficient of 0.9208477 and p < 0.01. It's almost as if the GMO soybeans and people's collective exasperation are joined at the hip! We were so struck by this finding that we almost couldn't even contain our laughter.

This groundbreaking research sheds light on the interconnectedness of seemingly unrelated phenomena, showing the potential influence of agricultural practices on modern linguistic expressions. Our findings provoke the question: are genetically modified soybeans not just altering our food supply, but also our vernacular? It's food for thought, and perhaps a side of soybeans.

As we continue to sift through the data, we eagerly anticipate further exploration into the quirky relationship between agricultural innovation and contemporary language evolution. Rest assured, we'll keep you posted on all the soy-tally exciting updates.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
When it comes to agricultural advancements, there's always a kernel of curiosity that leads researchers down unexpected pathways. In this study, we embark on a soyjourn into the quirky realm of genetically modified soybeans and their potential impact on the exasperated utterances of "i cant even". Fascinatingly, this research sprouted from a kernel of an idea and blossomed into a soy-much-more-than-expected investigation.
The connection between GMO soybeans and people's collective exasperation seems almost too soy-real to be true, but as researchers, we are committed to peeling back the layers of this onion to uncover the soy-ber truths. It's truly a-maize-ing how the most unlikely pairings can yield fruitful insights.
By examining USDA data on GMO soybean cultivation and correlating it with Google Trends data for 'i cant even' searches, we aim to sow the seeds of understanding regarding the potential linguistic implications of agricultural practices. The correlation coefficient of 0.9208477 left us feeling almost as stunned as a corny pun at a farmers' market.
Our journey into this peculiar correlation reminds us of a classic dad joke: Why did the scarecrow win an award? Because he was outstanding in his field! Much like the bewildering success of that scarecrow, the remarkable association between GMO soybeans and frustrated language trends leaves us reeling with soy-prise.
As we delve further into this uncharted territory of botany-meets-linguistics, our findings not only raise eyebrows but also invite further exploration into the interconnectedness of human behavior and agricultural innovations. So, grab a cup of soy-milk and join us on this unconventional journey through the fields of GMO research and internet language trends. Rest assured, we'll make sure you're kept a-soy-cially distanced from any dull moments in this intellectually stimulating endeavor.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Smith et al." researchers elucidate the complex relationship between GMO soybeans and linguistic expressions, albeit with a more serious tone than we ourselves will adopt throughout this literature review. On the other hand, "Doe and Jones" provide a thorough exploration of linguistic trends and their connection to societal influences, setting the stage for our unorthodox investigation into the correlation between GMO soybeans and 'i cant even' Google searches.

Now, let's branch out and explore some related non-fiction works. In "The Omnivore's Dilemma" by Michael Pollan, the author delves into the influence of agricultural practices on the food we consume, inadvertently setting the stage for our venture into the curious world of soybeans and language. Adding a fictional twist, "The Bean Trees" by Barbara Kingsolver features a protagonist who embarks on a journey of self-discovery that parallels our own exploration into the mysteries of GMO soybeans.

On the more light-hearted side, shows like "Breaking Bad" spark curiosity about the influence of chemical processes on human behavior, albeit in a much more illicit context. This curiosity is what brought us to the intersection of genetically modified soybeans and contemporary language, a conundrum more puzzling than a botanist trying to grow a sense of humor.

Returning to our serious academic voice for just a moment, we further examine the groundbreaking research by "Lorem and Ipsum," who shed light on the impact of technological advancements on language evolution. This provides a compelling backdrop for our inquiry into the potential influence of GMO soybeans on linguistic patterns, though not nearly as compelling as the prospect of a soybean telling a really good pun.

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 GMO use in soybeans and Google searches for 'i cant even'. 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 USDA and Google Trends . You used data from 2004 to 2022

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection

[[ABSTRACT]]
In recent years, the prevalence of genetically modified organisms (GMOs) in soybeans has raised concerns about their potential impacts on human behavior and language trends. This study delves into the correlation between the use of GMO soybeans and the frequency of Google searches for the phrase 'i cant even'. As researchers, we couldn't even believe we were delving into this peculiar topic, but here we are.

Analyzing USDA data on GMO soybean cultivation alongside Google Trends data for 'i cant even' searches spanning 2004 to 2022, we found a remarkably strong correlation coefficient of 0.9208477 and p < 0.01. It's almost as if the GMO soybeans and people's collective exasperation are joined at the hip! We were so struck by this finding that we almost couldn't even contain our laughter.

This groundbreaking research sheds light on the interconnectedness of seemingly unrelated phenomena, showing the potential influence of agricultural practices on modern linguistic expressions. Our findings provoke the question: are genetically modified soybeans not just altering our food supply, but also our vernacular? It's food for thought, and perhaps a side of soybeans.

As we continue to sift through the data, we eagerly anticipate further exploration into the quirky relationship between agricultural innovation and contemporary language evolution. Rest assured, we'll keep you posted on all the soy-tally exciting updates.

[[INTRODUCTION]]
When it comes to agricultural advancements, there's always a kernel of curiosity that leads researchers down unexpected pathways. In this study, we embark on a soyjourn into the quirky realm of genetically modified soybeans and their potential impact on the exasperated utterances of "i cant even". Fascinatingly, this research sprouted from a kernel of an idea and blossomed into a soy-much-more-than-expected investigation.
The connection between GMO soybeans and people's collective exasperation seems almost too soy-real to be true, but as researchers, we are committed to peeling back the layers of this onion to uncover the soy-ber truths. It's truly a-maize-ing how the most unlikely pairings can yield fruitful insights.
By examining USDA data on GMO soybean cultivation and correlating it with Google Trends data for 'i cant even' searches, we aim to sow the seeds of understanding regarding the potential linguistic implications of agricultural practices. The correlation coefficient of 0.9208477 left us feeling almost as stunned as a corny pun at a farmers' market.
Our journey into this peculiar correlation reminds us of a classic dad joke: Why did the scarecrow win an award? Because he was outstanding in his field! Much like the bewildering success of that scarecrow, the remarkable association between GMO soybeans and frustrated language trends leaves us reeling with soy-prise.
As we delve further into this uncharted territory of botany-meets-linguistics, our findings not only raise eyebrows but also invite further exploration into the interconnectedness of human behavior and agricultural innovations. So, grab a cup of soy-milk and join us on this unconventional journey through the fields of GMO research and internet language trends. Rest assured, we'll make sure you're kept a-soy-cially distanced from any dull moments in this intellectually stimulating endeavor.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Now, let's spill the soybeans on how we conducted this out-of-the-ordinary research. Our approach was a mix of conventional data analysis and a sprinkle of unconventional thinking, like adding soy sauce to a chocolate cake recipe – not something you see every day, but surprisingly intriguing.

First, we harnessed the agricultural prowess of the United States Department of Agriculture (USDA) to procure data on the cultivation of genetically modified soybeans from 2004 to 2022. We also turned to the bountiful fields of Google Trends, reaping the search interest data for the perennially perplexing phrase 'i cant even' over the same timeframe. It's almost as if we were combining the ancient art of farming with the modern marvel of internet search analytics – talk about planting seeds of inquiry in the digital soil!

Now, to cultivate our analysis, we employed a peculiarly effective technique that we like to call the "GMO-Google Tango." This involved dancing back and forth between the USDA data and Google Trends, almost like doing the cha-cha-cha through a field of soybeans. We then conducted a rigorous statistical analysis, scrutinizing the correlation between the prevalence of GMO soybean cultivation and the frequency of 'i cant even' searches. It was a statistical tango of epic proportions, but we managed to keep our research mambo-jambo to a minimum.

To ensure the reliability of our analysis, we carefully pruned our dataset, removing any outliers that threatened to weed out the genuine associations between GMO soybeans and exasperated internet queries. Much like a diligent gardener tending to a patch of unruly sunflowers, we nurtured our data to yield the most a-peeling insights.

In calculating the all-important correlation coefficient, we employed advanced statistical tools and software, ensuring that our results were as robust as a well-fortified silo. And just like a diligent farmer checking the weather forecast, we also conducted various sensitivity analyses to test the resilience of our findings in the face of potential confounding variables. After all, we wanted to make sure our correlation was as sturdy as a barn in a windstorm.

The entire process was akin to orchestrating a complex symphony, with data points and statistical analyses harmonizing in a beautifully bizarre cacophony of agricultural and internet-related insights. It was like composing a song that seamlessly blends the elegance of a violin with the unpredictable beats of a techno track – a soy-phonious marvel that had us tapping our feet in research-induced glee.

We hope you enjoyed these field notes on our methodological approach. The next section "Results" will plant the seeds of interest in the minds of our readers, and we promise there won't be any GMO (Gargantuan 'Mazing Observations) included – just good old-fashioned data analysis.

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 GMO use in soybeans and Google searches for 'i cant even'. 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 USDA and Google Trends .

For the time period 2004 to 2022, you found a correlation 0.9208477, r-squared of 0.8479605, 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]]
Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection

[[ABSTRACT]]
In recent years, the prevalence of genetically modified organisms (GMOs) in soybeans has raised concerns about their potential impacts on human behavior and language trends. This study delves into the correlation between the use of GMO soybeans and the frequency of Google searches for the phrase 'i cant even'. As researchers, we couldn't even believe we were delving into this peculiar topic, but here we are.

Analyzing USDA data on GMO soybean cultivation alongside Google Trends data for 'i cant even' searches spanning 2004 to 2022, we found a remarkably strong correlation coefficient of 0.9208477 and p < 0.01. It's almost as if the GMO soybeans and people's collective exasperation are joined at the hip! We were so struck by this finding that we almost couldn't even contain our laughter.

This groundbreaking research sheds light on the interconnectedness of seemingly unrelated phenomena, showing the potential influence of agricultural practices on modern linguistic expressions. Our findings provoke the question: are genetically modified soybeans not just altering our food supply, but also our vernacular? It's food for thought, and perhaps a side of soybeans.

As we continue to sift through the data, we eagerly anticipate further exploration into the quirky relationship between agricultural innovation and contemporary language evolution. Rest assured, we'll keep you posted on all the soy-tally exciting updates.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
When it comes to agricultural advancements, there's always a kernel of curiosity that leads researchers down unexpected pathways. In this study, we embark on a soyjourn into the quirky realm of genetically modified soybeans and their potential impact on the exasperated utterances of "i cant even". Fascinatingly, this research sprouted from a kernel of an idea and blossomed into a soy-much-more-than-expected investigation.
The connection between GMO soybeans and people's collective exasperation seems almost too soy-real to be true, but as researchers, we are committed to peeling back the layers of this onion to uncover the soy-ber truths. It's truly a-maize-ing how the most unlikely pairings can yield fruitful insights.
By examining USDA data on GMO soybean cultivation and correlating it with Google Trends data for 'i cant even' searches, we aim to sow the seeds of understanding regarding the potential linguistic implications of agricultural practices. The correlation coefficient of 0.9208477 left us feeling almost as stunned as a corny pun at a farmers' market.
Our journey into this peculiar correlation reminds us of a classic dad joke: Why did the scarecrow win an award? Because he was outstanding in his field! Much like the bewildering success of that scarecrow, the remarkable association between GMO soybeans and frustrated language trends leaves us reeling with soy-prise.
As we delve further into this uncharted territory of botany-meets-linguistics, our findings not only raise eyebrows but also invite further exploration into the interconnectedness of human behavior and agricultural innovations. So, grab a cup of soy-milk and join us on this unconventional journey through the fields of GMO research and internet language trends. Rest assured, we'll make sure you're kept a-soy-cially distanced from any dull moments in this intellectually stimulating endeavor.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our analysis revealed a striking correlation between the use of genetically modified soybeans and the frequency of Google searches for the phrase 'i cant even'. From 2004 to 2022, we observed a correlation coefficient of 0.9208477, an r-squared value of 0.8479605, and a p-value of less than 0.01. It seems that GMO soybeans and collective exasperation are not just soy-mantically linked, but statistically significant as well. If correlation implies causation, we may have stumbled upon the soy-urce of a modern linguistic phenomenon!

Fig. 1 displays a scatterplot illustrating the strong positive correlation between the two variables. It's almost too perfect of a fit, like finding the soy to your milk or the beans to your toast. This visual representation leaves little room for doubt about the close association between GMO soybeans and people's exasperation levels. One might even say the relationship is as tight as two soybeans in a pod.

What does a soybean say when it introduces itself? "Fancy meeting edamame!" Our findings indicate that there's nothing coincidental about the connection between genetically modified soybeans and the exasperated expressions in internet search behavior. It's as if these soybeans have unleashed a 'soyful' wave of linguistic discontent across the digital landscape.

Overall, this study not only opens a proverbial can of GMO soybeans regarding the potential impact of agricultural practices on contemporary language trends, but it also sows the seeds for further investigation into the curious ways in which our dietary choices may influence our linguistic expressions. The implications of this research are something to soy about, and we look forward to seeing how this 'soyful' connection unfolds in future studies.

Stay tuned for more soy-prise findings, and remember, when it comes to GMO soybeans and internet language trends, we just couldn't even let this research opportunity bean passed us by!

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 GMO use in soybeans and Google searches for 'i cant even'. 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]]
Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection

[[ABSTRACT]]
In recent years, the prevalence of genetically modified organisms (GMOs) in soybeans has raised concerns about their potential impacts on human behavior and language trends. This study delves into the correlation between the use of GMO soybeans and the frequency of Google searches for the phrase 'i cant even'. As researchers, we couldn't even believe we were delving into this peculiar topic, but here we are.

Analyzing USDA data on GMO soybean cultivation alongside Google Trends data for 'i cant even' searches spanning 2004 to 2022, we found a remarkably strong correlation coefficient of 0.9208477 and p < 0.01. It's almost as if the GMO soybeans and people's collective exasperation are joined at the hip! We were so struck by this finding that we almost couldn't even contain our laughter.

This groundbreaking research sheds light on the interconnectedness of seemingly unrelated phenomena, showing the potential influence of agricultural practices on modern linguistic expressions. Our findings provoke the question: are genetically modified soybeans not just altering our food supply, but also our vernacular? It's food for thought, and perhaps a side of soybeans.

As we continue to sift through the data, we eagerly anticipate further exploration into the quirky relationship between agricultural innovation and contemporary language evolution. Rest assured, we'll keep you posted on all the soy-tally exciting updates.

[[LITERATURE REVIEW]]
In "Smith et al." researchers elucidate the complex relationship between GMO soybeans and linguistic expressions, albeit with a more serious tone than we ourselves will adopt throughout this literature review. On the other hand, "Doe and Jones" provide a thorough exploration of linguistic trends and their connection to societal influences, setting the stage for our unorthodox investigation into the correlation between GMO soybeans and 'i cant even' Google searches.
Now, let's branch out and explore some related non-fiction works. In "The Omnivore's Dilemma" by Michael Pollan, the author delves into the influence of agricultural practices on the food we consume, inadvertently setting the stage for our venture into the curious world of soybeans and language. Adding a fictional twist, "The Bean Trees" by Barbara Kingsolver features a protagonist who embarks on a journey of self-discovery that parallels our own exploration into the mysteries of GMO soybeans.
On the more light-hearted side, shows like "Breaking Bad" spark curiosity about the influence of chemical processes on human behavior, albeit in a much more illicit context. This curiosity is what brought us to the intersection of genetically modified soybeans and contemporary language, a conundrum more puzzling than a botanist trying to grow a sense of humor.
Returning to our serious academic voice for just a moment, we further examine the groundbreaking research by "Lorem and Ipsum," who shed light on the impact of technological advancements on language evolution. This provides a compelling backdrop for our inquiry into the potential influence of GMO soybeans on linguistic patterns, though not nearly as compelling as the prospect of a soybean telling a really good pun.

[[RESULTS]]
The results of our analysis revealed a striking correlation between the use of genetically modified soybeans and the frequency of Google searches for the phrase 'i cant even'. From 2004 to 2022, we observed a correlation coefficient of 0.9208477, an r-squared value of 0.8479605, and a p-value of less than 0.01. It seems that GMO soybeans and collective exasperation are not just soy-mantically linked, but statistically significant as well. If correlation implies causation, we may have stumbled upon the soy-urce of a modern linguistic phenomenon!
Fig. 1 displays a scatterplot illustrating the strong positive correlation between the two variables. It's almost too perfect of a fit, like finding the soy to your milk or the beans to your toast. This visual representation leaves little room for doubt about the close association between GMO soybeans and people's exasperation levels. One might even say the relationship is as tight as two soybeans in a pod.
What does a soybean say when it introduces itself? "Fancy meeting edamame!" Our findings indicate that there's nothing coincidental about the connection between genetically modified soybeans and the exasperated expressions in internet search behavior. It's as if these soybeans have unleashed a 'soyful' wave of linguistic discontent across the digital landscape.
Overall, this study not only opens a proverbial can of GMO soybeans regarding the potential impact of agricultural practices on contemporary language trends, but it also sows the seeds for further investigation into the curious ways in which our dietary choices may influence our linguistic expressions. The implications of this research are something to soy about, and we look forward to seeing how this 'soyful' connection unfolds in future studies.
Stay tuned for more soy-prise findings, and remember, when it comes to GMO soybeans and internet language trends, we just couldn't even let this research opportunity bean passed us by!

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our study has unveiled a compelling association between the cultivation of GMO soybeans and the frequency of 'i cant even' Google searches. These findings align with prior research, such as Smith et al., which hinted at the potential connection between GMO soybeans and linguistic expressions. Just as beans are a staple in many diets, our research showcases the staple role GMO soybeans play in contemporary language trends. It's like they're the all-purpose flour of linguistic evolution – versatile and fundamental!

The literature review section also touched on the influence of societal factors on language, akin to the exploration of linguistic trends and societal influences by Doe and Jones. In a soy-rrific twist, our research demonstrates how agricultural practices can serve as a catalyst for linguistic shifts, much like Grandma's secret ingredient that makes her cookies so unique – in our case, it's genetically modified soybeans hidden in the recipe of online expressions.

Furthermore, the intriguing exploration of technological advancements on language evolution by Lorem and Ipsum sets the stage for our investigation into the potential linguistic impact of GMO soybeans. It's almost as if they knew we'd be entering the soybean-soaked world of internet language trends! The overwhelming correlation we have observed serves as a compelling indication that GMO soybeans are not just altering our food supply, but also influencing our expression of frustration in the digital landscape. It's like discovering that soybeans are the unsung heroes of the linguistic pantry, adding that extra flavor of irritation to our everyday language.

Our results leave little room for doubt about the significant correlation between the use of genetically modified soybeans and 'i cant even' searches. The scatterplot illustrates a relationship tighter than a well-knit scarf on a winter's day, making it unmistakably clear that something about GMO soybeans seems to elicit collective exasperation in online search behavior. The findings echo the sentiment: "What did one soybean say to the other? 'We're in a pod together!'" This close association suggests that GMO soybeans might just be the soy-urce of modern linguistic phenomena, making them the ultimate origin story for our exasperated digital expressions.

In closing, as we ponder the implications of our findings, we're left with a soy-bewildering trail of inquiry into the ways in which our dietary choices may yield unexpected linguistic effects. The prospect of soybeans shaping our digital lingo is indeed a soy-ful area for further exploration. It's like finding a soybean in a haystack – unexpected, yet ripe for discovery. Stay tuned for more 'soyful' revelations in the intersection of agricultural practices and contemporary language trends. And remember, the next time you reach for soy products, consider the potential soyful impact they may have on your language – they could be shaping your expressions more than you know!

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 GMO use in soybeans and Google searches for 'i cant even'. 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]]
Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection

[[ABSTRACT]]
In recent years, the prevalence of genetically modified organisms (GMOs) in soybeans has raised concerns about their potential impacts on human behavior and language trends. This study delves into the correlation between the use of GMO soybeans and the frequency of Google searches for the phrase 'i cant even'. As researchers, we couldn't even believe we were delving into this peculiar topic, but here we are.

Analyzing USDA data on GMO soybean cultivation alongside Google Trends data for 'i cant even' searches spanning 2004 to 2022, we found a remarkably strong correlation coefficient of 0.9208477 and p < 0.01. It's almost as if the GMO soybeans and people's collective exasperation are joined at the hip! We were so struck by this finding that we almost couldn't even contain our laughter.

This groundbreaking research sheds light on the interconnectedness of seemingly unrelated phenomena, showing the potential influence of agricultural practices on modern linguistic expressions. Our findings provoke the question: are genetically modified soybeans not just altering our food supply, but also our vernacular? It's food for thought, and perhaps a side of soybeans.

As we continue to sift through the data, we eagerly anticipate further exploration into the quirky relationship between agricultural innovation and contemporary language evolution. Rest assured, we'll keep you posted on all the soy-tally exciting updates.

[[INTRDUCTION]]
When it comes to agricultural advancements, there's always a kernel of curiosity that leads researchers down unexpected pathways. In this study, we embark on a soyjourn into the quirky realm of genetically modified soybeans and their potential impact on the exasperated utterances of "i cant even". Fascinatingly, this research sprouted from a kernel of an idea and blossomed into a soy-much-more-than-expected investigation.
The connection between GMO soybeans and people's collective exasperation seems almost too soy-real to be true, but as researchers, we are committed to peeling back the layers of this onion to uncover the soy-ber truths. It's truly a-maize-ing how the most unlikely pairings can yield fruitful insights.
By examining USDA data on GMO soybean cultivation and correlating it with Google Trends data for 'i cant even' searches, we aim to sow the seeds of understanding regarding the potential linguistic implications of agricultural practices. The correlation coefficient of 0.9208477 left us feeling almost as stunned as a corny pun at a farmers' market.
Our journey into this peculiar correlation reminds us of a classic dad joke: Why did the scarecrow win an award? Because he was outstanding in his field! Much like the bewildering success of that scarecrow, the remarkable association between GMO soybeans and frustrated language trends leaves us reeling with soy-prise.
As we delve further into this uncharted territory of botany-meets-linguistics, our findings not only raise eyebrows but also invite further exploration into the interconnectedness of human behavior and agricultural innovations. So, grab a cup of soy-milk and join us on this unconventional journey through the fields of GMO research and internet language trends. Rest assured, we'll make sure you're kept a-soy-cially distanced from any dull moments in this intellectually stimulating endeavor.

[[RESULTS]]
The results of our analysis revealed a striking correlation between the use of genetically modified soybeans and the frequency of Google searches for the phrase 'i cant even'. From 2004 to 2022, we observed a correlation coefficient of 0.9208477, an r-squared value of 0.8479605, and a p-value of less than 0.01. It seems that GMO soybeans and collective exasperation are not just soy-mantically linked, but statistically significant as well. If correlation implies causation, we may have stumbled upon the soy-urce of a modern linguistic phenomenon!
Fig. 1 displays a scatterplot illustrating the strong positive correlation between the two variables. It's almost too perfect of a fit, like finding the soy to your milk or the beans to your toast. This visual representation leaves little room for doubt about the close association between GMO soybeans and people's exasperation levels. One might even say the relationship is as tight as two soybeans in a pod.
What does a soybean say when it introduces itself? "Fancy meeting edamame!" Our findings indicate that there's nothing coincidental about the connection between genetically modified soybeans and the exasperated expressions in internet search behavior. It's as if these soybeans have unleashed a 'soyful' wave of linguistic discontent across the digital landscape.
Overall, this study not only opens a proverbial can of GMO soybeans regarding the potential impact of agricultural practices on contemporary language trends, but it also sows the seeds for further investigation into the curious ways in which our dietary choices may influence our linguistic expressions. The implications of this research are something to soy about, and we look forward to seeing how this 'soyful' connection unfolds in future studies.
Stay tuned for more soy-prise findings, and remember, when it comes to GMO soybeans and internet language trends, we just couldn't even let this research opportunity bean passed us by!

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unveiled a remarkable correlation between the prevalence of GMO soybeans and the frequency of 'i cant even' Google searches. This soy-ry connection suggests that the impact of agricultural practices might extend beyond our plates and into our perplexed linguistic expressions. It's safe to say that GMO soybeans aren't just altering our food; they're also soy-mehow influencing our digital exasperation levels.

As we wrap up this study, we must reflect on the age-old question: What do you call a soybean who's known for his jokes? A real ham-flavored comedian! But in all seriousness, the implications of our findings on the intersection of agriculture and language are nothing to soy-snore at.

We confidently advocate for the adoption of a soy-free search for further research in this area, because let's face it: we've bean there, done that, and soy much has bean uncovered already!

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 Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Agricultural Absurdity

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 Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Agricultural Innovation and Research Excellence (SAIRE)

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 Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection with an abstract of In recent years, the prevalence of genetically modified organisms (GMOs) in soybeans has raised concerns about their potential impacts on human behavior and language trends. This study delves into the correlation between the use of GMO soybeans and the frequency of Google searches for the phrase 'i cant even'. As researchers, we couldn't even believe we were delving into this peculiar topic, but here we are.
Analyzing USDA data on GMO soybean cultivation alongside Google Trends data for 'i cant even' searches spanning 2004 to 2022, we found a remarkably strong correlation coefficient of 0.9208477 and p < 0.01. It's almost as if the GMO soybeans and people's collective exasperation are joined at the hip! We were so struck by this finding that we almost couldn't even contain our laughter.
This groundbreaking research sheds light on the interconnectedness of seemingly unrelated phenomena, showing the potential influence of agricultural practices on modern linguistic expressions. Our findings provoke the question: are genetically modified soybeans not just altering our food supply, but also our vernacular? It's food for thought, and perhaps a side of soybeans.
As we continue to sift through the data, we eagerly anticipate further exploration into the quirky relationship between agricultural innovation and contemporary language evolution. Rest assured, we'll keep you posted on all the soy-tally exciting updates.

ChatGPT:

GMO soybeans, language trends, Google searches, "I cant even", correlation, USDA data, agricultural practices, linguistic expressions, genetically modified organisms, soybean cultivation, contemporary language evolution, agricultural innovation, soybean impact on human behavior, GMO soybean impact

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

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Data details

GMO use in soybeans
Detailed data title: Percent of soybeans planted in United States that are genetically modified to be herbicide-tolerant (HT), but not insect-resistant (Bt)
Source: USDA
See what else correlates with GMO use in soybeans

Google searches for 'i cant even'
Detailed data title: Relative volume of Google searches for 'i cant even' (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 'i cant even'

Correlation r = 0.9208477 (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 = 0.8479605 (Coefficient of determination)
This means 84.8% of the change in the one variable (i.e., Google searches for 'i cant even') is predictable based on the change in the other (i.e., GMO use in soybeans) over the 19 years from 2004 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.3E-8.^Show 0.0000000228432675745674660000
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 0.92 in 2.3E-6% of random cases. Said differently, if you correlated 43,776,574 random variables^Note You don't actually need 43 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 18 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.8, 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.

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
GMO use in soybeans (GMO soybeans %)	85	87	89	91	92	91	93	94	93	93	94	94	94	94	94	94	94	95	95
Google searches for 'i cant even' (Rel. search volume)	11.8333	24	33.5833	32	34.75	37.5	60.25	63.3333	54.3333	63.25	70.8333	74.75	71.1667	72.4167	63	55.9167	64.0833	65	72.0833

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([85,87,89,91,92,91,93,94,93,93,94,94,94,94,94,94,94,95,95,])
array_2 = np.array([11.8333,24,33.5833,32,34.75,37.5,60.25,63.3333,54.3333,63.25,70.8333,74.75,71.1667,72.4167,63,55.9167,64.0833,65,72.0833,])
array_1_name = "GMO use in soybeans"
array_2_name = "Google searches for 'i cant even'"

# 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 GMO use in soybeans
Line chart for only Google searches for 'i cant even'
AI-generated correlation image
The spurious research paper: Soy Much on My Mind: The GMO-Soybean and 'I Cant Even' Google Searches Connection

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Correlation ID: 1663 · Black Variable ID: 828 · Red Variable ID: 1525


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