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Spurious correlation #2,198 · 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 corn grown in Texas and the second variable is National Lacrosse Champions' Final Point.  The chart goes from 2005 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

The decrease in GMO use led to a decrease in corn production, which in turn led to a shortage of corn syrup. With less corn syrup available, the lacrosse team had to switch to a different sports drink, which affected their performance, ultimately causing a decrease in their final point.

Model: dalle-3
Prompt: An image that looks like it is a scene from a Disney Movie, depicting a breathtaking moment in a Texas cornfield. A group of lacrosse players, adorned in colorful uniforms, is triumphantly tossing their sticks in the air as they celebrate a spectacular victory. The vibrant cornstalks surround them, creating a striking contrast against the clear blue sky and the radiant glow of the afternoon sun. The scene exudes a sense of sheer joy and exhilaration, capturing the essence of victory amidst the beauty of nature. 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 corn grown in Texas and National Lacrosse Champions' Final Point. 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: Cutsy graphics Magic realism An image that looks like it is a scene from A Disney Movie Cutsy art illustration inspired by bauhaus
ChatGPT: An image that looks like it is a scene from A Disney Movie

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 corn grown in Texas and National Lacrosse Champions' Final Point together. Keep the description simple.
ChatGPT: In a sprawling cornfield in Texas, the tall stalks of genetically modified corn reach for the sky under the bright sun. Amidst the golden rows, a group of spirited lacrosse players celebrate their victory, holding their lacrosse sticks high as they score the final point in the championship match. Corn husks rustle in the breeze as the players cheer in triumph, blending the agricultural landscape with the thrill of victory.

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: [ An image that looks like it is a scene from A Disney Movie ] and depicting this scene: In a sprawling cornfield in Texas, the tall stalks of genetically modified corn reach for the sky under the bright sun. Amidst the golden rows, a group of spirited lacrosse players celebrate their victory, holding their lacrosse sticks high as they score the final point in the championship match. Corn husks rustle in the breeze as the players cheer in triumph, blending the agricultural landscape with the thrill of victory. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image that looks like it is a scene from a Disney Movie, depicting a breathtaking moment in a Texas cornfield. A group of lacrosse players, adorned in colorful uniforms, is triumphantly tossing their sticks in the air as they celebrate a spectacular victory. The vibrant cornstalks surround them, creating a striking contrast against the clear blue sky and the radiant glow of the afternoon sun. The scene exudes a sense of sheer joy and exhilaration, capturing the essence of victory amidst the beauty of nature.

*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.

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 GMO use in corn grown in Texas caused National Lacrosse Champions' Final Point to decrease.

AI academic paper

(Because p < 0.01)
Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point

The Journal of Genetically Modified Organism Impact Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between GMO use in corn grown in Texas and National Lacrosse Champions' Final Point. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title seem clever.

Your research team used data from USDA and Wikipedia to assess this nagging question. You found a correlation coefficient of 0.9503075 and p < 0.01 for 2005 to 2022.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
"Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point"

[[ABSTRACT]]
The potential impact of genetically modified organisms (GMOs) in Texas corn on the final point scored by the National Lacrosse Champions has been a topic of scientific inquiry marinated in skepticism and curiosity. Utilizing data from the USDA and Wikipedia, this study examines the correlation between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions over the period of 2005 to 2022. The findings reveal a strikingly high correlation coefficient of 0.9503075 with p < 0.01, suggesting a robust association between these seemingly disparate elements.

One could say the relationship between GMOs in Texas corn and lacrosse success is "ear-resistible"! This unexpected connection may stem from the impact of GMOs on the overall agricultural landscape, which could indirectly influence the enthusiasm and vigor of the National Lacrosse Champions. Given the significant findings, further investigation into the mechanisms underlying this association is warranted.

The results of this study not only shed light on the influence of GMOs in Texas corn, but they also underscore the unanticipated interplay between agriculture and athletic achievements. So, next time someone says GMOs and lacrosse don't mix, you can confidently reply, "Actually, they're quite a-MAIZE-ing duo!"


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between GMO use in corn grown in Texas and National Lacrosse Champions' Final Point. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point"

[[ABSTRACT]]
The potential impact of genetically modified organisms (GMOs) in Texas corn on the final point scored by the National Lacrosse Champions has been a topic of scientific inquiry marinated in skepticism and curiosity. Utilizing data from the USDA and Wikipedia, this study examines the correlation between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions over the period of 2005 to 2022. The findings reveal a strikingly high correlation coefficient of 0.9503075 with p < 0.01, suggesting a robust association between these seemingly disparate elements.

One could say the relationship between GMOs in Texas corn and lacrosse success is "ear-resistible"! This unexpected connection may stem from the impact of GMOs on the overall agricultural landscape, which could indirectly influence the enthusiasm and vigor of the National Lacrosse Champions. Given the significant findings, further investigation into the mechanisms underlying this association is warranted.

The results of this study not only shed light on the influence of GMOs in Texas corn, but they also underscore the unanticipated interplay between agriculture and athletic achievements. So, next time someone says GMOs and lacrosse don't mix, you can confidently reply, "Actually, they're quite a-MAIZE-ing duo!"

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Genetically modified organisms (GMOs) have been the subject of intense debate and scrutiny, much like a sourdough starter that just won't rise. The potential impact of GMOs in agriculture on unrelated fields, such as sports performance, has been an area of particular intrigue, akin to discovering that the Loch Ness Monster is actually just a giant eel with an affinity for deep-sea hide-and-seek.

The aim of this study is to unravel the enigmatic relationship between the use of GMOs in corn cultivated in the Lone Star State and the final point scoring of the National Lacrosse Champions. This curious connection between biotechnology and sports success is reminiscent of a physicist's attempt to explain the laws of motion using interpretive dance – surprising, yet oddly captivating.

To our knowledge, no prior research has delved into the association between GMO usage in a specific state's corn and the performance of a single sports team. It's akin to stumbling upon a four-leaf clover in a tomato patch - unexpected and potentially paradigm-shifting.

Drawing data from the USDA and Wikipedia, we embarked on a statistical expedition to unravel this seemingly implausible linkage, much like field biologists tracking the migration patterns of elusive wildebeest. Our analysis spanned the years 2005 to 2022, aiming to harvest insights from a cornucopia of information.

The outcomes of this investigation promise to enrich our understanding not only of the intersection between agricultural practices and athletic outcomes but also of the unanticipated ripple effects of GMO utilization. It’s like finding out that a cup of coffee can also serve as a makeshift fertilizer – surprising and strangely pragmatic.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between GMO use in corn grown in Texas and National Lacrosse Champions' Final Point. 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
"Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point"

[[ABSTRACT]]
The potential impact of genetically modified organisms (GMOs) in Texas corn on the final point scored by the National Lacrosse Champions has been a topic of scientific inquiry marinated in skepticism and curiosity. Utilizing data from the USDA and Wikipedia, this study examines the correlation between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions over the period of 2005 to 2022. The findings reveal a strikingly high correlation coefficient of 0.9503075 with p < 0.01, suggesting a robust association between these seemingly disparate elements.

One could say the relationship between GMOs in Texas corn and lacrosse success is "ear-resistible"! This unexpected connection may stem from the impact of GMOs on the overall agricultural landscape, which could indirectly influence the enthusiasm and vigor of the National Lacrosse Champions. Given the significant findings, further investigation into the mechanisms underlying this association is warranted.

The results of this study not only shed light on the influence of GMOs in Texas corn, but they also underscore the unanticipated interplay between agriculture and athletic achievements. So, next time someone says GMOs and lacrosse don't mix, you can confidently reply, "Actually, they're quite a-MAIZE-ing duo!"

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Genetically modified organisms (GMOs) have been the subject of intense debate and scrutiny, much like a sourdough starter that just won't rise. The potential impact of GMOs in agriculture on unrelated fields, such as sports performance, has been an area of particular intrigue, akin to discovering that the Loch Ness Monster is actually just a giant eel with an affinity for deep-sea hide-and-seek.
The aim of this study is to unravel the enigmatic relationship between the use of GMOs in corn cultivated in the Lone Star State and the final point scoring of the National Lacrosse Champions. This curious connection between biotechnology and sports success is reminiscent of a physicist's attempt to explain the laws of motion using interpretive dance – surprising, yet oddly captivating.
To our knowledge, no prior research has delved into the association between GMO usage in a specific state's corn and the performance of a single sports team. It's akin to stumbling upon a four-leaf clover in a tomato patch - unexpected and potentially paradigm-shifting.
Drawing data from the USDA and Wikipedia, we embarked on a statistical expedition to unravel this seemingly implausible linkage, much like field biologists tracking the migration patterns of elusive wildebeest. Our analysis spanned the years 2005 to 2022, aiming to harvest insights from a cornucopia of information.
The outcomes of this investigation promise to enrich our understanding not only of the intersection between agricultural practices and athletic outcomes but also of the unanticipated ripple effects of GMO utilization. It’s like finding out that a cup of coffee can also serve as a makeshift fertilizer – surprising and strangely pragmatic.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The connection between GMO use in Texas corn and the final point scored by the National Lacrosse Champions has been a topic of inquiry that has drawn the attention of various scholars over the years. Smith et al. (2010) examine the impact of GMOs on agricultural productivity, while Doe and Jones (2015) investigate the performance outcomes of collegiate sports teams. The intersection of these two fields may seem as unlikely as a penguin waddling into a tropical paradise, but the potential implications are as intriguing as a detective novel set in a corn maze.

In "The Omnivore's Dilemma," Pollan delves into the complexities of the modern food industry, offering insights into the cultivation of GMO crops in Texas. On the other hand, "Fast Food Nation" by Schlosser provides a sobering account of the impact of industrial agriculture on food production. The relevance of these works to our research is as clear as the corn on the cob at a summer picnic.

Moving into the realm of fiction, "The Corn Maiden and Other Nightmares" by Joyce Carol Oates explores themes of terror and suspense, with a title that humorously aligns with our investigation. Similarly, "Children of the Corn" by Stephen King may not offer literal insights into GMO usage in Texas, but its title is too corny to ignore.

On a lighter note, "SpongeBob SquarePants" and "The Magic School Bus" are television shows that, while not directly related to our research, exemplify the spirit of curiosity and exploration that underpins scientific inquiry. One might say that our search for correlations between GMOs and lacrosse success is akin to SpongeBob's quest for the perfect Krabby Patty recipe - unexpected, yet oddly captivating.

In conclusion, the existing literature provides a varied landscape of perspectives and themes that offer valuable context for our investigation. The unexpected intersections and playful references in this body of work illuminate the diverse and, at times, amusing nature of scholarly inquiry, underscoring the importance of approaching research with a spirit of open-mindedness and exploration.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between GMO use in corn grown in Texas and National Lacrosse Champions' Final Point. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from USDA and Wikipedia . You used data from 2005 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]]
"Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point"

[[ABSTRACT]]
The potential impact of genetically modified organisms (GMOs) in Texas corn on the final point scored by the National Lacrosse Champions has been a topic of scientific inquiry marinated in skepticism and curiosity. Utilizing data from the USDA and Wikipedia, this study examines the correlation between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions over the period of 2005 to 2022. The findings reveal a strikingly high correlation coefficient of 0.9503075 with p < 0.01, suggesting a robust association between these seemingly disparate elements.

One could say the relationship between GMOs in Texas corn and lacrosse success is "ear-resistible"! This unexpected connection may stem from the impact of GMOs on the overall agricultural landscape, which could indirectly influence the enthusiasm and vigor of the National Lacrosse Champions. Given the significant findings, further investigation into the mechanisms underlying this association is warranted.

The results of this study not only shed light on the influence of GMOs in Texas corn, but they also underscore the unanticipated interplay between agriculture and athletic achievements. So, next time someone says GMOs and lacrosse don't mix, you can confidently reply, "Actually, they're quite a-MAIZE-ing duo!"

[[INTRODUCTION]]
Genetically modified organisms (GMOs) have been the subject of intense debate and scrutiny, much like a sourdough starter that just won't rise. The potential impact of GMOs in agriculture on unrelated fields, such as sports performance, has been an area of particular intrigue, akin to discovering that the Loch Ness Monster is actually just a giant eel with an affinity for deep-sea hide-and-seek.
The aim of this study is to unravel the enigmatic relationship between the use of GMOs in corn cultivated in the Lone Star State and the final point scoring of the National Lacrosse Champions. This curious connection between biotechnology and sports success is reminiscent of a physicist's attempt to explain the laws of motion using interpretive dance – surprising, yet oddly captivating.
To our knowledge, no prior research has delved into the association between GMO usage in a specific state's corn and the performance of a single sports team. It's akin to stumbling upon a four-leaf clover in a tomato patch - unexpected and potentially paradigm-shifting.
Drawing data from the USDA and Wikipedia, we embarked on a statistical expedition to unravel this seemingly implausible linkage, much like field biologists tracking the migration patterns of elusive wildebeest. Our analysis spanned the years 2005 to 2022, aiming to harvest insights from a cornucopia of information.
The outcomes of this investigation promise to enrich our understanding not only of the intersection between agricultural practices and athletic outcomes but also of the unanticipated ripple effects of GMO utilization. It’s like finding out that a cup of coffee can also serve as a makeshift fertilizer – surprising and strangely pragmatic.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection: The data used in this study were harvested from a variety of sources including the United States Department of Agriculture (USDA) and the font of all knowledge, Wikipedia. The period of analysis spanned from 2005 to 2022, encompassing a robust time frame for evaluating potential correlations between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions. The use of online sources elicited a cornucopia of information, without which our investigation would have been as barren as a field of non-GMO corn.

The Statistical Harvest: To address the research objectives, a bountiful harvest of statistical analyses was undertaken. First, a correlation analysis was conducted to assess the relationship between the proportion of GMO corn production in Texas and the final point scoring of the National Lacrosse Champions. This analysis aimed to unearth potential associations between these variables and not just to *kernel* the terabytes of data collected.

Next, a regression analysis was employed to delve deeper into the potential causal mechanisms underlying the observed correlation. By scrutinizing the impact of GMO use in Texas corn on lacrosse final point scoring while controlling for other relevant variables, this analysis sought to separate the *chaff* from the *wheat* in teasing out the true significance of GMOs in this unexpected context.

Further, a series of robustness checks were conducted to ensure the resilience of our findings. Sensitivity analyses and additional regressions were utilized to affirm the stability of the correlation between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions. These analyses were performed with the precision and care of a wine sommelier distinguishing between a merlot and a cabernet sauvignon.

Control Variables: To mitigate the risk of spurious relationships and misattributions, several potential confounding variables were included in the analyses. These included factors such as weather patterns, cross-pollination dynamics, and variations in lacrosse tournament structures. By considering these factors, we aimed to prevent any *cornfusion* in ascribing causality to the observed correlations.

Ethical Considerations: Throughout the research process, the ethical principles of scientific inquiry were upheld. All data were handled with the diligence and respect befitting a scholarly investigation. Moreover, privacy concerns were assured, as no individual-level data were utilized, so as not to inadvertently tread on any *corns*.

In summary, the methodology employed in this study was robustly designed to uncover the intriguing relationship between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions. By leveraging an array of statistical analyses and diligently addressing potential confounding factors, our approach aimed to cultivate a deeper understanding of this surprisingly fertile nexus between agricultural biotechnology and athletic achievement.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the 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 corn grown in Texas and National Lacrosse Champions' Final Point. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2005 to 2022, you found a correlation 0.9503075, r-squared of 0.9030844, 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]]
"Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point"

[[ABSTRACT]]
The potential impact of genetically modified organisms (GMOs) in Texas corn on the final point scored by the National Lacrosse Champions has been a topic of scientific inquiry marinated in skepticism and curiosity. Utilizing data from the USDA and Wikipedia, this study examines the correlation between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions over the period of 2005 to 2022. The findings reveal a strikingly high correlation coefficient of 0.9503075 with p < 0.01, suggesting a robust association between these seemingly disparate elements.

One could say the relationship between GMOs in Texas corn and lacrosse success is "ear-resistible"! This unexpected connection may stem from the impact of GMOs on the overall agricultural landscape, which could indirectly influence the enthusiasm and vigor of the National Lacrosse Champions. Given the significant findings, further investigation into the mechanisms underlying this association is warranted.

The results of this study not only shed light on the influence of GMOs in Texas corn, but they also underscore the unanticipated interplay between agriculture and athletic achievements. So, next time someone says GMOs and lacrosse don't mix, you can confidently reply, "Actually, they're quite a-MAIZE-ing duo!"

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Genetically modified organisms (GMOs) have been the subject of intense debate and scrutiny, much like a sourdough starter that just won't rise. The potential impact of GMOs in agriculture on unrelated fields, such as sports performance, has been an area of particular intrigue, akin to discovering that the Loch Ness Monster is actually just a giant eel with an affinity for deep-sea hide-and-seek.
The aim of this study is to unravel the enigmatic relationship between the use of GMOs in corn cultivated in the Lone Star State and the final point scoring of the National Lacrosse Champions. This curious connection between biotechnology and sports success is reminiscent of a physicist's attempt to explain the laws of motion using interpretive dance – surprising, yet oddly captivating.
To our knowledge, no prior research has delved into the association between GMO usage in a specific state's corn and the performance of a single sports team. It's akin to stumbling upon a four-leaf clover in a tomato patch - unexpected and potentially paradigm-shifting.
Drawing data from the USDA and Wikipedia, we embarked on a statistical expedition to unravel this seemingly implausible linkage, much like field biologists tracking the migration patterns of elusive wildebeest. Our analysis spanned the years 2005 to 2022, aiming to harvest insights from a cornucopia of information.
The outcomes of this investigation promise to enrich our understanding not only of the intersection between agricultural practices and athletic outcomes but also of the unanticipated ripple effects of GMO utilization. It’s like finding out that a cup of coffee can also serve as a makeshift fertilizer – surprising and strangely pragmatic.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The correlation analysis between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions revealed a strong and positive correlation coefficient of 0.9503075, indicating a remarkably robust association. This relationship is as clear as a freshly washed lab beaker – no murky interpretations here!

The r-squared value of 0.9030844 further emphasizes the strength of this connection, highlighting that approximately 90% of the variability in the lacrosse champions' final point scoring can be explained by the variation in GMO use in Texas corn. It's almost as if the GMOs are whispering, "corn gratulations" to the athletic achievers!

The p-value of less than 0.01 indicates that the observed correlation is statistically significant, suggesting that the likelihood of such a strong association occurring by chance is lower than finding a needle in a haystack, or as we could say, a "gene" in a genome.

Fig. 1 illustrates the scatterplot depicting this substantial correlation between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions. The points on the plot align as harmoniously as players in a well-coached team, demonstrating the undeniable bond between these seemingly disconnected variables.

The unexpected connection between agricultural practices and sporting achievements raises fascinating questions about the potential avenues for future research in this domain. It might be time to consider genetically modifying lacrosse sticks, too – after all, if GMOs can positively impact corn, maybe they can help the champions "stalk" their opponents with even greater accuracy!


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between GMO use in corn grown in Texas and National Lacrosse Champions' Final Point. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point"

[[ABSTRACT]]
The potential impact of genetically modified organisms (GMOs) in Texas corn on the final point scored by the National Lacrosse Champions has been a topic of scientific inquiry marinated in skepticism and curiosity. Utilizing data from the USDA and Wikipedia, this study examines the correlation between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions over the period of 2005 to 2022. The findings reveal a strikingly high correlation coefficient of 0.9503075 with p < 0.01, suggesting a robust association between these seemingly disparate elements.

One could say the relationship between GMOs in Texas corn and lacrosse success is "ear-resistible"! This unexpected connection may stem from the impact of GMOs on the overall agricultural landscape, which could indirectly influence the enthusiasm and vigor of the National Lacrosse Champions. Given the significant findings, further investigation into the mechanisms underlying this association is warranted.

The results of this study not only shed light on the influence of GMOs in Texas corn, but they also underscore the unanticipated interplay between agriculture and athletic achievements. So, next time someone says GMOs and lacrosse don't mix, you can confidently reply, "Actually, they're quite a-MAIZE-ing duo!"

[[LITERATURE REVIEW]]
The connection between GMO use in Texas corn and the final point scored by the National Lacrosse Champions has been a topic of inquiry that has drawn the attention of various scholars over the years. Smith et al. (2010) examine the impact of GMOs on agricultural productivity, while Doe and Jones (2015) investigate the performance outcomes of collegiate sports teams. The intersection of these two fields may seem as unlikely as a penguin waddling into a tropical paradise, but the potential implications are as intriguing as a detective novel set in a corn maze.
In "The Omnivore's Dilemma," Pollan delves into the complexities of the modern food industry, offering insights into the cultivation of GMO crops in Texas. On the other hand, "Fast Food Nation" by Schlosser provides a sobering account of the impact of industrial agriculture on food production. The relevance of these works to our research is as clear as the corn on the cob at a summer picnic.
Moving into the realm of fiction, "The Corn Maiden and Other Nightmares" by Joyce Carol Oates explores themes of terror and suspense, with a title that humorously aligns with our investigation. Similarly, "Children of the Corn" by Stephen King may not offer literal insights into GMO usage in Texas, but its title is too corny to ignore.
On a lighter note, "SpongeBob SquarePants" and "The Magic School Bus" are television shows that, while not directly related to our research, exemplify the spirit of curiosity and exploration that underpins scientific inquiry. One might say that our search for correlations between GMOs and lacrosse success is akin to SpongeBob's quest for the perfect Krabby Patty recipe - unexpected, yet oddly captivating.
In conclusion, the existing literature provides a varied landscape of perspectives and themes that offer valuable context for our investigation. The unexpected intersections and playful references in this body of work illuminate the diverse and, at times, amusing nature of scholarly inquiry, underscoring the importance of approaching research with a spirit of open-mindedness and exploration.

[[RESULTS]]
The correlation analysis between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions revealed a strong and positive correlation coefficient of 0.9503075, indicating a remarkably robust association. This relationship is as clear as a freshly washed lab beaker – no murky interpretations here!
The r-squared value of 0.9030844 further emphasizes the strength of this connection, highlighting that approximately 90% of the variability in the lacrosse champions' final point scoring can be explained by the variation in GMO use in Texas corn. It's almost as if the GMOs are whispering, "corn gratulations" to the athletic achievers!
The p-value of less than 0.01 indicates that the observed correlation is statistically significant, suggesting that the likelihood of such a strong association occurring by chance is lower than finding a needle in a haystack, or as we could say, a "gene" in a genome.
Fig. 1 illustrates the scatterplot depicting this substantial correlation between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions. The points on the plot align as harmoniously as players in a well-coached team, demonstrating the undeniable bond between these seemingly disconnected variables.
The unexpected connection between agricultural practices and sporting achievements raises fascinating questions about the potential avenues for future research in this domain. It might be time to consider genetically modifying lacrosse sticks, too – after all, if GMOs can positively impact corn, maybe they can help the champions "stalk" their opponents with even greater accuracy!

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study not only corroborate but also significantly amplify the existing literature on the relationship between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions, supporting the notion that this unexpected association is as real as a microscope slide under high power. The robust positive correlation coefficient and the strikingly low p-value lend substantial credence to the hypothesis that GMOs and lacrosse success are not just casually related, but rather intertwined like the strands of a double helix.

This unexpected connection between agricultural practices and athletic achievements has the potential to revolutionize the way we perceive the interplay between seemingly disparate fields. It seems that the synergistic effects of GMOs on corn production extend beyond the agricultural realm, permeating into the competitive spirit and performance of the National Lacrosse Champions.

The r-squared value of 0.9030844 indicates that approximately 90% of the variability in the lacrosse champions' final point scoring can be explained by the variation in GMO use in Texas corn. This substantial level of explanation is as comforting as a warm blanket on a cold laboratory bench, providing a clear and concise understanding of the impact of GMOs on the athletic prowess of the champions.

The scatterplot depicted in Fig. 1 serves as a visual testament to the undeniable bond between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions. The alignment of the data points is as precise as a well-calibrated spectrophotometer, leaving little room for doubt regarding the strength of this association.

This unexpected relationship opens the door to a plethora of intriguing questions and potential avenues for future research. Perhaps it's time for scientists and sports enthusiasts alike to consider the broader implications of GMO usage in sporting equipment and athletic performance. After all, if GMOs can have such a profound impact on corn, who's to say they can't help the champions "stalk" their opponents with even greater precision on the lacrosse field?


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between GMO use in corn grown in Texas and National Lacrosse Champions' Final Point. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point"

[[ABSTRACT]]
The potential impact of genetically modified organisms (GMOs) in Texas corn on the final point scored by the National Lacrosse Champions has been a topic of scientific inquiry marinated in skepticism and curiosity. Utilizing data from the USDA and Wikipedia, this study examines the correlation between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions over the period of 2005 to 2022. The findings reveal a strikingly high correlation coefficient of 0.9503075 with p < 0.01, suggesting a robust association between these seemingly disparate elements.

One could say the relationship between GMOs in Texas corn and lacrosse success is "ear-resistible"! This unexpected connection may stem from the impact of GMOs on the overall agricultural landscape, which could indirectly influence the enthusiasm and vigor of the National Lacrosse Champions. Given the significant findings, further investigation into the mechanisms underlying this association is warranted.

The results of this study not only shed light on the influence of GMOs in Texas corn, but they also underscore the unanticipated interplay between agriculture and athletic achievements. So, next time someone says GMOs and lacrosse don't mix, you can confidently reply, "Actually, they're quite a-MAIZE-ing duo!"

[[INTRDUCTION]]
Genetically modified organisms (GMOs) have been the subject of intense debate and scrutiny, much like a sourdough starter that just won't rise. The potential impact of GMOs in agriculture on unrelated fields, such as sports performance, has been an area of particular intrigue, akin to discovering that the Loch Ness Monster is actually just a giant eel with an affinity for deep-sea hide-and-seek.
The aim of this study is to unravel the enigmatic relationship between the use of GMOs in corn cultivated in the Lone Star State and the final point scoring of the National Lacrosse Champions. This curious connection between biotechnology and sports success is reminiscent of a physicist's attempt to explain the laws of motion using interpretive dance – surprising, yet oddly captivating.
To our knowledge, no prior research has delved into the association between GMO usage in a specific state's corn and the performance of a single sports team. It's akin to stumbling upon a four-leaf clover in a tomato patch - unexpected and potentially paradigm-shifting.
Drawing data from the USDA and Wikipedia, we embarked on a statistical expedition to unravel this seemingly implausible linkage, much like field biologists tracking the migration patterns of elusive wildebeest. Our analysis spanned the years 2005 to 2022, aiming to harvest insights from a cornucopia of information.
The outcomes of this investigation promise to enrich our understanding not only of the intersection between agricultural practices and athletic outcomes but also of the unanticipated ripple effects of GMO utilization. It’s like finding out that a cup of coffee can also serve as a makeshift fertilizer – surprising and strangely pragmatic.

[[RESULTS]]
The correlation analysis between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions revealed a strong and positive correlation coefficient of 0.9503075, indicating a remarkably robust association. This relationship is as clear as a freshly washed lab beaker – no murky interpretations here!
The r-squared value of 0.9030844 further emphasizes the strength of this connection, highlighting that approximately 90% of the variability in the lacrosse champions' final point scoring can be explained by the variation in GMO use in Texas corn. It's almost as if the GMOs are whispering, "corn gratulations" to the athletic achievers!
The p-value of less than 0.01 indicates that the observed correlation is statistically significant, suggesting that the likelihood of such a strong association occurring by chance is lower than finding a needle in a haystack, or as we could say, a "gene" in a genome.
Fig. 1 illustrates the scatterplot depicting this substantial correlation between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions. The points on the plot align as harmoniously as players in a well-coached team, demonstrating the undeniable bond between these seemingly disconnected variables.
The unexpected connection between agricultural practices and sporting achievements raises fascinating questions about the potential avenues for future research in this domain. It might be time to consider genetically modifying lacrosse sticks, too – after all, if GMOs can positively impact corn, maybe they can help the champions "stalk" their opponents with even greater accuracy!

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

The findings of this study illuminate a remarkably strong association between GMO use in corn grown in Texas and the final point scoring of the National Lacrosse Champions. This unexpected correlation highlights the far-reaching impact of agricultural practices on seemingly unrelated domains, much like realizing that a potato can power a lightbulb in a science fair project.

The extraordinary correlation coefficient of 0.9503075, reminiscent of a perfectly executed pun, underscores the robustness of this connection. It's as if the GMOs are saying, "Oh, you sweet corn-gratulations!" to the lacrosse champions for their high-scoring performances.

The statistically significant p-value of less than 0.01 further solidifies the validity of this relationship, suggesting that the likelihood of such a strong association occurring by chance is as rare as finding a kernel of truth in a cornfield – or should we say, "a gene in a genome"?

While the precise mechanisms underlying this intriguing correlation remain ripe for further exploration, the results of this study emphasize the need to acknowledge and investigate the unexpected interplay between agricultural variables and athletic achievements. One might even say that GMOs and lacrosse make an a-MAIZE-ing duo, much like a perfect dad joke at a family barbecue.

Given the compelling nature of the findings, it is evident that no further research is needed in this area. The connection between GMO use in Texas corn and the final point scoring of the National Lacrosse Champions has been unequivocally established, leaving us with a-MAIZE-ing food for thought and a rich harvest of statistical insights.


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 Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Genetically Modified Organism Impact 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 Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Agrobiotech Athletic Advancements


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 Stalk-ing Success: The Corny Connection Between GMO Use in Texas Corn and National Lacrosse Champions' Final Point with an abstract of The potential impact of genetically modified organisms (GMOs) in Texas corn on the final point scored by the National Lacrosse Champions has been a topic of scientific inquiry marinated in skepticism and curiosity. Utilizing data from the USDA and Wikipedia, this study examines the correlation between the use of GMOs in corn grown in Texas and the final point scoring of the National Lacrosse Champions over the period of 2005 to 2022. The findings reveal a strikingly high correlation coefficient of 0.9503075 with p < 0.01, suggesting a robust association between these seemingly disparate elements.
One could say the relationship between GMOs in Texas corn and lacrosse success is "ear-resistible"! This unexpected connection may stem from the impact of GMOs on the overall agricultural landscape, which could indirectly influence the enthusiasm and vigor of the National Lacrosse Champions. Given the significant findings, further investigation into the mechanisms underlying this association is warranted.
The results of this study not only shed light on the influence of GMOs in Texas corn, but they also underscore the unanticipated interplay between agriculture and athletic achievements. So, next time someone says GMOs and lacrosse don't mix, you can confidently reply, "Actually, they're quite a-MAIZE-ing duo!

ChatGPT:

GMOs, Texas corn, National Lacrosse Champions, GMO impact, Texas corn production, Lacrosse success, Genetically modified organisms, Agriculture and sports, Association between GMOs and athletic achievements, Connection between agriculture and athletic performance, Texas corn and lacrosse scoring, USDA data, GMOs and agricultural landscape

*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 corn grown in Texas
Detailed data title: Percent of all corn planted in Texas that is genetically modified to be herbicide-tolerant (HT), but not insect-resistant (Bt)
Source: USDA
See what else correlates with GMO use in corn grown in Texas

National Lacrosse Champions' Final Point
Detailed data title: National Lacrosse Champions' Final Points
Source: Wikipedia
See what else correlates with National Lacrosse Champions' Final Point

Correlation r = 0.9503075 (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 = 0.9030844 (Coefficient of determination)
This means 90.3% of the change in the one variable (i.e., National Lacrosse Champions' Final Point) is predictable based on the change in the other (i.e., GMO use in corn grown in Texas) over the 18 years from 2005 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.6E-9. 0.0000000015989234047570370000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.95 in 1.6E-7% of random cases. Said differently, if you correlated 625,420,828 random variables You don't actually need 625 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 17 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 17 because we have two variables measured over a period of 18 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.87, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
200520062007200820092010201120122013201420152016201720182019202020212022
GMO use in corn grown in Texas (GMO corn %)42373731302724212017121113129898
National Lacrosse Champions' Final Point (Points)1916131412158911222222002




Why this works

  1. 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.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([42,37,37,31,30,27,24,21,20,17,12,11,13,12,9,8,9,8,])
array_2 = np.array([19,16,13,14,12,15,8,9,11,2,2,2,2,2,2,0,0,2,])
array_1_name = "GMO use in corn grown in Texas"
array_2_name = "National Lacrosse Champions' Final Point"

# 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)



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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.

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Correlation ID: 2198 · Black Variable ID: 736 · Red Variable ID: 133
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