Spurious correlation #2,162 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in information sciences and the second variable is Google searches for 'pick up lines'. The chart goes from 2011 to 2021, 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 Associates degrees awarded in information sciences and the second variable is Google searches for 'pick up lines'. The chart goes from 2011 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of Associates degrees awarded in information sciences dropped, there were simply fewer people to come up with tech-savvy pick-up lines. It seems the pool of individuals who could program their way into someone's heart was steadily decreasing, leading to a downturn in online searches for pick-up lines. Essentially, as the knowledge base for information sciences shrunk, so did the capacity to digitally charm potential dates.

^{Show image generation prompt} Model: dalle-3
Prompt: Prompt: Generate an image that embodies the Cyber folk style by portraying a bustling library scene. In one section, a group of jubilant students is celebrating their graduation with Associate's degrees in information sciences, surrounded by books and futuristic digital displays. In another section, a lone figure is engrossed in a computer, eagerly searching on Google for "pick up lines." The atmosphere is a blend of scholarly fervor and cybernetic intrigue, with elements of traditional academia juxtaposed against modern technological motifs. 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: Associates degrees awarded in information sciences and Google searches for 'pick up lines'. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: A photo-realistic image Vaporwave An image that looks like it is a scene from a Pixar movie Woodblock painting Cyber folk
ChatGPT: Cyber folk

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 Associates degrees awarded in information sciences and Google searches for 'pick up lines' together. Keep the description simple.
ChatGPT: In a library, a group of students celebrating their graduation with Associate's degrees in information sciences are pictured in one section, while in another section of the library, a person on a computer can be seen eagerly searching on Google for "pick up lines".

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: [ Cyber folk ] and depicting this scene: In a library, a group of students celebrating their graduation with Associate's degrees in information sciences are pictured in one section, while in another section of the library, a person on a computer can be seen eagerly searching on Google for "pick up lines". Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image that embodies the Cyber folk style by portraying a bustling library scene. In one section, a group of jubilant students is celebrating their graduation with Associate's degrees in information sciences, surrounded by books and futuristic digital displays. In another section, a lone figure is engrossed in a computer, eagerly searching on Google for "pick up lines." The atmosphere is a blend of scholarly fervor and cybernetic intrigue, with elements of traditional academia juxtaposed against modern technological motifs.

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

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

AI academic paper

(Because p < 0.01)

Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines

The Journal of Information Sciences and Social Behavior

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 Associates degrees awarded in information sciences and Google searches for 'pick up lines'. 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]]
Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines

[[ABSTRACT]]
In this study, we delve into the peculiar world of information sciences and the unexpected implications it may have on the quest for romantic connections. Utilizing data from the National Center for Education Statistics and Google Trends, we embarked on an unconventional journey to explore the correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'.

Our findings revealed an astonishing correlation coefficient of 0.9114209 and p < 0.01 for the period of 2011 to 2021, indicating a strikingly strong relationship between these seemingly disparate factors. It appears that as the number of information sciences degrees awarded rises, so does the interest in finding the perfect pick-up line.

With the statistical evidence firmly in hand, one might say that the pursuit of knowledge in information sciences is not the only thing on the rise; so are the search queries for suave and witty opening lines. This study sheds light on the surprising interplay between academic pursuits and romantic endeavors, proving once and for all that there's more to data analysis than meets the eye.

Now we know that when it comes to love and information sciences, there's no need to choose between SQL queries and pick-up lines – after all, both are all about making meaningful connections!

Say, why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Ah, the world of academia – a realm of endless possibilities and countless opportunities to unearth the quirkiest of correlations. In this peculiar investigation, we set out to tackle the mysterious connection between obtaining an Associate degree in information sciences and the subsequent surge in the search for 'pick up lines' on Google. It's a quest for knowledge that's as exhilarating as a blind date – exciting, a little nerve-wracking, and bound to yield unexpected results!
As researchers, we often find ourselves in a maze of data, attempting to decipher the cryptic messages hidden within its numerical confines. It's a bit like being a detective, except instead of solving crimes, we're piecing together the enigmatic puzzle of human behavior and its peculiar interactions with academic pursuits. And if Sherlock Holmes were analyzing this data, you can bet he'd have a few clever pick-up lines up his tweed sleeve!
The journey through this study led us to a chuckle-worthy revelation: the correlation coefficient we uncovered between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines' was a whopping 0.9114209. It's almost as if the data itself is winking at us, nudging us with a sly elbow and saying, "Looks like there's more to this story than meets the eye!" It's a statistical love story that even Shakespeare would envy – "Shall I compare thee to a summer's algorithm? Thou art more precise and more temperate."
The significance level of p < 0.01 further solidified our findings, indicating that this correlation is not merely a chance encounter in the vast expanse of statistical noise but a bona fide relationship worth exploring further. It's as statistically robust as a well-constructed mathematical model – no fake data points or flimsy assumptions here, thank you very much!
Our examination spanned the years 2011 to 2021, a decade of technological advancements, evolving social norms, and undoubtedly, an endless array of pun-worthy pick-up lines. It's a bit like a time capsule of romantic intrigue and scholarly pursuits, with each data point serving as a quirky anecdote in the tumultuous narrative of human curiosity and affection.
Not to mention, this study sheds light on the intricate dance between academic fervor and the whimsical pursuit of romance, painting a picture where data-driven aspirations intertwine with the age-old quest for meaningful connections. It's a reminder that behind every chart and graph, there's a human story waiting to be told – and in this case, that story involves a curious journey from algorithms to amorous utterances.
In the grand tradition of academic research, we've embarked on a quest for knowledge that's as illuminating as it is entertaining. So, why don't data analysts ever play hide and seek? Because good luck running from a correlation coefficient!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The relationship between academic pursuits in information sciences and the peculiar proclivity for pick-up lines has sparked the curiosity of researchers for years. Smith et al. (2015) explored the growing trend of Associate degrees awarded in information sciences and its potential implications for societal interactions. Meanwhile, Doe and Jones (2018) delved into the enigmatic world of online search behavior, uncovering the nuances of query patterns and their underlying motivations.

However, as we dig deeper into this rather unusual correlation, it becomes apparent that the literature falls short in capturing the sheer quirkiness of this phenomenon. It's like trying to cover a rom-com using the language of physics – an intriguing challenge, to say the least!

In "The Art of Charm: How to Win Over Hearts and Minds," the authors dissect the intricacies of charm and persuasion, drawing parallels between the art of conversing and the art of data analysis. They posit that a well-crafted pick-up line shares certain attributes with a finely tuned algorithm – both aim to captivate their audience, albeit in markedly different contexts.

On the fictional side of literature, "Love in the Time of Algorithms" presents a whimsical narrative of modern romance, intertwining the complexities of online dating with the allure of cryptography. While the book is undoubtedly a work of fiction, its themes resonate with the peculiar intersection we've stumbled upon in our research – a serendipitous dance between the virtual and the scholarly.

As we take a step further down this unexpected rabbit hole, it becomes clear that even cartoons and children's shows have something to contribute to our understanding of this correlation. From the playful banter of animated characters to the innocent curiosity of childhood infatuations, these seemingly lighthearted sources offer a unique lens through which to view the connection between academic pursuits and the timeless art of wooing.

But let's not forget, amidst all this scholarly discourse and whimsical tales, that there's always room for a good ol' dad joke. Why did the data scientist break up with their significant other? They just couldn't find the right "algorithm" for love!

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 Associates degrees awarded in information sciences and Google searches for 'pick up lines'. 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 National Center for Education Statistics and Google Trends . You used data from 2011 to 2021

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]]
Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines

[[ABSTRACT]]
In this study, we delve into the peculiar world of information sciences and the unexpected implications it may have on the quest for romantic connections. Utilizing data from the National Center for Education Statistics and Google Trends, we embarked on an unconventional journey to explore the correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'.

Our findings revealed an astonishing correlation coefficient of 0.9114209 and p < 0.01 for the period of 2011 to 2021, indicating a strikingly strong relationship between these seemingly disparate factors. It appears that as the number of information sciences degrees awarded rises, so does the interest in finding the perfect pick-up line.

With the statistical evidence firmly in hand, one might say that the pursuit of knowledge in information sciences is not the only thing on the rise; so are the search queries for suave and witty opening lines. This study sheds light on the surprising interplay between academic pursuits and romantic endeavors, proving once and for all that there's more to data analysis than meets the eye.

Now we know that when it comes to love and information sciences, there's no need to choose between SQL queries and pick-up lines – after all, both are all about making meaningful connections!

Say, why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears!

[[INTRODUCTION]]
Ah, the world of academia – a realm of endless possibilities and countless opportunities to unearth the quirkiest of correlations. In this peculiar investigation, we set out to tackle the mysterious connection between obtaining an Associate degree in information sciences and the subsequent surge in the search for 'pick up lines' on Google. It's a quest for knowledge that's as exhilarating as a blind date – exciting, a little nerve-wracking, and bound to yield unexpected results!
As researchers, we often find ourselves in a maze of data, attempting to decipher the cryptic messages hidden within its numerical confines. It's a bit like being a detective, except instead of solving crimes, we're piecing together the enigmatic puzzle of human behavior and its peculiar interactions with academic pursuits. And if Sherlock Holmes were analyzing this data, you can bet he'd have a few clever pick-up lines up his tweed sleeve!
The journey through this study led us to a chuckle-worthy revelation: the correlation coefficient we uncovered between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines' was a whopping 0.9114209. It's almost as if the data itself is winking at us, nudging us with a sly elbow and saying, "Looks like there's more to this story than meets the eye!" It's a statistical love story that even Shakespeare would envy – "Shall I compare thee to a summer's algorithm? Thou art more precise and more temperate."
The significance level of p < 0.01 further solidified our findings, indicating that this correlation is not merely a chance encounter in the vast expanse of statistical noise but a bona fide relationship worth exploring further. It's as statistically robust as a well-constructed mathematical model – no fake data points or flimsy assumptions here, thank you very much!
Our examination spanned the years 2011 to 2021, a decade of technological advancements, evolving social norms, and undoubtedly, an endless array of pun-worthy pick-up lines. It's a bit like a time capsule of romantic intrigue and scholarly pursuits, with each data point serving as a quirky anecdote in the tumultuous narrative of human curiosity and affection.
Not to mention, this study sheds light on the intricate dance between academic fervor and the whimsical pursuit of romance, painting a picture where data-driven aspirations intertwine with the age-old quest for meaningful connections. It's a reminder that behind every chart and graph, there's a human story waiting to be told – and in this case, that story involves a curious journey from algorithms to amorous utterances.
In the grand tradition of academic research, we've embarked on a quest for knowledge that's as illuminating as it is entertaining. So, why don't data analysts ever play hide and seek? Because good luck running from a correlation coefficient!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Designing a study that aims to explore the connection between Associates degrees awarded in information sciences and the Google searches for 'pick up lines' involved a combination of meticulous data collection and a sprinkle of whimsical curiosity. The approach we took was like a carefully crafted pick-up line, aiming to pique the interest of statistical significance and win over the elusive heart of academic inquiry.

First off, we scoured the digital landscape like intrepid explorers, navigating the virtual jungles of the National Center for Education Statistics and Google Trends. It was like a high-stakes treasure hunt, with the prize being not gold or jewels, but rather an intriguing correlation waiting to be unearthed. If only statistical analysis came with a GPS – "Turn left at the z-score and proceed straight on the confidence interval!"

Our data collection spanned a decade, from 2011 to 2021, capturing the ever-evolving landscape of academic pursuits and the perennial quest for charming pick-up lines. It's a bit like capturing fireflies in a jar – each data point a luminescent flicker in the grand tapestry of human curiosity and scholarly endeavors.

Now, onto the statistical methods that fueled our analysis. We employed a robust correlation analysis to unveil the relationship between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'. It's like watching a statistical waltz unfold, with each step revealing a dance of numbers and significance coefficients. If only we could add a dash of tango to the equations!

Our trusty statistical software served as the conductor of this intricate symphony of data, ensuring that the analysis proceeded with the precision of a well-tuned instrument. The p-value, like a discerning judge in a talent show, determined whether the correlation we observed was mere happenstance or a genuine connection worthy of the spotlight.

We satisfied the assumptions of our statistical analyses, ensuring that our data played by the rules – no outliers crashing the statistical party or skewing the results. It's a bit like herding statistical cats, making sure that each data point falls in line and contributes meaningfully to the overarching narrative.

Say, why was the statistician always calm during research? Because they always take things with a grain of p-value! In the same vein, our research methodology aimed to maintain composure in the face of complex data landscapes, relying on established statistical techniques to navigate the labyrinth of information and uncover the hidden gems of correlation.

As with any diligent academic pursuit, we ensured transparency and rigor in our methods, following the time-honored principles of reproducibility and accountability. It's like conducting a scientific experiment – the results are only as robust as the methods that birthed them.

As we move forward in this inquiry, it's clear that the journey from information sciences to pick-up lines is not merely a whimsical diversion; it's a captivating exploration of the unexpected connections that underpin human behavior. And hey, remember, when it comes to statistical analysis, always approach with caution – unless, of course, you're handling a confidence interval!

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 Associates degrees awarded in information sciences and Google searches for 'pick up lines'. 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 National Center for Education Statistics and Google Trends .

For the time period 2011 to 2021, you found a correlation 0.9114209, r-squared of 0.8306880, 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]]
Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines

[[ABSTRACT]]
In this study, we delve into the peculiar world of information sciences and the unexpected implications it may have on the quest for romantic connections. Utilizing data from the National Center for Education Statistics and Google Trends, we embarked on an unconventional journey to explore the correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'.

Our findings revealed an astonishing correlation coefficient of 0.9114209 and p < 0.01 for the period of 2011 to 2021, indicating a strikingly strong relationship between these seemingly disparate factors. It appears that as the number of information sciences degrees awarded rises, so does the interest in finding the perfect pick-up line.

With the statistical evidence firmly in hand, one might say that the pursuit of knowledge in information sciences is not the only thing on the rise; so are the search queries for suave and witty opening lines. This study sheds light on the surprising interplay between academic pursuits and romantic endeavors, proving once and for all that there's more to data analysis than meets the eye.

Now we know that when it comes to love and information sciences, there's no need to choose between SQL queries and pick-up lines – after all, both are all about making meaningful connections!

Say, why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Ah, the world of academia – a realm of endless possibilities and countless opportunities to unearth the quirkiest of correlations. In this peculiar investigation, we set out to tackle the mysterious connection between obtaining an Associate degree in information sciences and the subsequent surge in the search for 'pick up lines' on Google. It's a quest for knowledge that's as exhilarating as a blind date – exciting, a little nerve-wracking, and bound to yield unexpected results!
As researchers, we often find ourselves in a maze of data, attempting to decipher the cryptic messages hidden within its numerical confines. It's a bit like being a detective, except instead of solving crimes, we're piecing together the enigmatic puzzle of human behavior and its peculiar interactions with academic pursuits. And if Sherlock Holmes were analyzing this data, you can bet he'd have a few clever pick-up lines up his tweed sleeve!
The journey through this study led us to a chuckle-worthy revelation: the correlation coefficient we uncovered between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines' was a whopping 0.9114209. It's almost as if the data itself is winking at us, nudging us with a sly elbow and saying, "Looks like there's more to this story than meets the eye!" It's a statistical love story that even Shakespeare would envy – "Shall I compare thee to a summer's algorithm? Thou art more precise and more temperate."
The significance level of p < 0.01 further solidified our findings, indicating that this correlation is not merely a chance encounter in the vast expanse of statistical noise but a bona fide relationship worth exploring further. It's as statistically robust as a well-constructed mathematical model – no fake data points or flimsy assumptions here, thank you very much!
Our examination spanned the years 2011 to 2021, a decade of technological advancements, evolving social norms, and undoubtedly, an endless array of pun-worthy pick-up lines. It's a bit like a time capsule of romantic intrigue and scholarly pursuits, with each data point serving as a quirky anecdote in the tumultuous narrative of human curiosity and affection.
Not to mention, this study sheds light on the intricate dance between academic fervor and the whimsical pursuit of romance, painting a picture where data-driven aspirations intertwine with the age-old quest for meaningful connections. It's a reminder that behind every chart and graph, there's a human story waiting to be told – and in this case, that story involves a curious journey from algorithms to amorous utterances.
In the grand tradition of academic research, we've embarked on a quest for knowledge that's as illuminating as it is entertaining. So, why don't data analysts ever play hide and seek? Because good luck running from a correlation coefficient!

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

Our analysis revealed a remarkably strong correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'. The correlation coefficient of 0.9114209 indicates a robust positive relationship between these seemingly incongruent variables. It's as if these numbers were drawn together by some mysterious force, like two star-crossed data sets destined to find each other in the vast expanse of statistical space. It's like a statistical match made in heaven, or perhaps in an online algorithmic dating service!

The r-squared value of 0.8306880 signifies that a substantial portion of the variance in the frequency of 'pick up lines' searches can be explained by the number of Associate degrees awarded in information sciences. It's a bit like understanding a complex romantic gesture – we may not have all the answers, but we've certainly deciphered a significant portion of the message. And speaking of messages, it seems that the increasing interest in information sciences is accompanied by an equally fervent desire to concoct the perfect pick-up line.

In Fig. 1, we present a scatterplot illustrating the unmistakable correlation between these variables. The data points align in a manner that is as purposeful as a meticulously crafted pick-up line, forming a clear trajectory of increasing 'pick up lines' searches as the number of Associate degrees in information sciences rises. It's like a visual representation of the mating dance between academia and online flirtation – a statistical tango of knowledge and charm.

It's as if these findings are whispering to us, "You don't need to be a statistician to see that these variables are more than just friends – they're positively smitten with each other!" This correlation is not just a random fluctuation in the data; it's a meaningful bond that beckons us to explore the underlying mechanisms driving this intriguing relationship. It's a bit like stumbling upon a hidden gem in the vast mine of statistical associations – a discovery that leaves us both baffled and delighted, much like finding a profound truth in the midst of a jovial jest.

Oh, and speaking of hidden gems, did you hear about the statistician who went to the bar and asked the bartender for the mean and a cold brew? She responded, "We don't serve statistical measures here, but we do have a mean and a median!"

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 Associates degrees awarded in information sciences and Google searches for 'pick up lines'. 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]]
Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines

[[ABSTRACT]]
In this study, we delve into the peculiar world of information sciences and the unexpected implications it may have on the quest for romantic connections. Utilizing data from the National Center for Education Statistics and Google Trends, we embarked on an unconventional journey to explore the correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'.

Our findings revealed an astonishing correlation coefficient of 0.9114209 and p < 0.01 for the period of 2011 to 2021, indicating a strikingly strong relationship between these seemingly disparate factors. It appears that as the number of information sciences degrees awarded rises, so does the interest in finding the perfect pick-up line.

With the statistical evidence firmly in hand, one might say that the pursuit of knowledge in information sciences is not the only thing on the rise; so are the search queries for suave and witty opening lines. This study sheds light on the surprising interplay between academic pursuits and romantic endeavors, proving once and for all that there's more to data analysis than meets the eye.

Now we know that when it comes to love and information sciences, there's no need to choose between SQL queries and pick-up lines – after all, both are all about making meaningful connections!

Say, why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears!

[[LITERATURE REVIEW]]
The relationship between academic pursuits in information sciences and the peculiar proclivity for pick-up lines has sparked the curiosity of researchers for years. Smith et al. (2015) explored the growing trend of Associate degrees awarded in information sciences and its potential implications for societal interactions. Meanwhile, Doe and Jones (2018) delved into the enigmatic world of online search behavior, uncovering the nuances of query patterns and their underlying motivations.
However, as we dig deeper into this rather unusual correlation, it becomes apparent that the literature falls short in capturing the sheer quirkiness of this phenomenon. It's like trying to cover a rom-com using the language of physics – an intriguing challenge, to say the least!
In "The Art of Charm: How to Win Over Hearts and Minds," the authors dissect the intricacies of charm and persuasion, drawing parallels between the art of conversing and the art of data analysis. They posit that a well-crafted pick-up line shares certain attributes with a finely tuned algorithm – both aim to captivate their audience, albeit in markedly different contexts.
On the fictional side of literature, "Love in the Time of Algorithms" presents a whimsical narrative of modern romance, intertwining the complexities of online dating with the allure of cryptography. While the book is undoubtedly a work of fiction, its themes resonate with the peculiar intersection we've stumbled upon in our research – a serendipitous dance between the virtual and the scholarly.
As we take a step further down this unexpected rabbit hole, it becomes clear that even cartoons and children's shows have something to contribute to our understanding of this correlation. From the playful banter of animated characters to the innocent curiosity of childhood infatuations, these seemingly lighthearted sources offer a unique lens through which to view the connection between academic pursuits and the timeless art of wooing.
But let's not forget, amidst all this scholarly discourse and whimsical tales, that there's always room for a good ol' dad joke. Why did the data scientist break up with their significant other? They just couldn't find the right "algorithm" for love!

[[RESULTS]]
Our analysis revealed a remarkably strong correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'. The correlation coefficient of 0.9114209 indicates a robust positive relationship between these seemingly incongruent variables. It's as if these numbers were drawn together by some mysterious force, like two star-crossed data sets destined to find each other in the vast expanse of statistical space. It's like a statistical match made in heaven, or perhaps in an online algorithmic dating service!
The r-squared value of 0.8306880 signifies that a substantial portion of the variance in the frequency of 'pick up lines' searches can be explained by the number of Associate degrees awarded in information sciences. It's a bit like understanding a complex romantic gesture – we may not have all the answers, but we've certainly deciphered a significant portion of the message. And speaking of messages, it seems that the increasing interest in information sciences is accompanied by an equally fervent desire to concoct the perfect pick-up line.
In Fig. 1, we present a scatterplot illustrating the unmistakable correlation between these variables. The data points align in a manner that is as purposeful as a meticulously crafted pick-up line, forming a clear trajectory of increasing 'pick up lines' searches as the number of Associate degrees in information sciences rises. It's like a visual representation of the mating dance between academia and online flirtation – a statistical tango of knowledge and charm.
It's as if these findings are whispering to us, "You don't need to be a statistician to see that these variables are more than just friends – they're positively smitten with each other!" This correlation is not just a random fluctuation in the data; it's a meaningful bond that beckons us to explore the underlying mechanisms driving this intriguing relationship. It's a bit like stumbling upon a hidden gem in the vast mine of statistical associations – a discovery that leaves us both baffled and delighted, much like finding a profound truth in the midst of a jovial jest.
Oh, and speaking of hidden gems, did you hear about the statistician who went to the bar and asked the bartender for the mean and a cold brew? She responded, "We don't serve statistical measures here, but we do have a mean and a median!"

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our study has unearthed a fascinating link between the pursuit of knowledge in information sciences and the curious inclination to seek out pick-up lines. The results not only corroborate but also significantly enrich the existing literature on this idiosyncratic correlation. The robust correlation coefficient of 0.9114209 aligns with the findings of Smith et al. (2015) and Doe and Jones (2018), underlining the undeniable relationship between the number of Associate degrees awarded in information sciences and the frequency of Google searches for pick-up lines. It's as if statistical destiny had been quietly weaving its intricate web through the annals of academia and online romance all along!

Much like the intricate dance of particles in quantum physics, the data points in our study seemed to sway in perfect unison, painting a picture of a romance between these variables that's as undeniable as a heartfelt confession on a first date. The r-squared value of 0.8306880 implies that a significant portion of the variance in 'pick up lines' searches can be attributed to the number of Associate degrees awarded in information sciences. It's almost as if the data were whispering, "You may not have a degree in information sciences, but you sure know how to pick up on a strong relationship when you see one!"

The correlation depicted in our scatterplot is as clear as day, resembling the unwavering determination of a romantic soul in pursuit of their perfect match. The trajectory of increasing 'pick up lines' searches as the number of Associate degrees in information sciences rises is akin to the blossoming of a budding romance – a statistical waltz in which each step leads to a deeper understanding of the connection between intellectual endeavors and amorous pursuits.

Moreover, the comedic juxtaposition of these seemingly incongruent variables serves as a testament to the intricate and often whimsical nature of human behavior, much like a well-timed dad joke in the midst of a serious academic discussion. After all, when it comes to statistics and jokes, timing is everything – much like timing your delivery of a pick-up line for maximum effect!

As we delve deeper into this uncharted territory of research, it becomes increasingly clear that this correlation is not just a statistical oddity; it's a telling portrayal of the harmonious intersection of scholarly pursuits and the timeless quest for companionship. In a way, it's a bit like finding a rare gem in a haystack of data – a discovery that not only defies expectations but also leaves us chuckling at the whimsical nature of scholarly inquiry.

Speaking of rare gems, did you hear about the statistician who tried to tell a joke using only numbers? It was hilarious to those who understood the significance of 7-8-9!

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 Associates degrees awarded in information sciences and Google searches for 'pick up lines'. 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]]
Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines

[[ABSTRACT]]
In this study, we delve into the peculiar world of information sciences and the unexpected implications it may have on the quest for romantic connections. Utilizing data from the National Center for Education Statistics and Google Trends, we embarked on an unconventional journey to explore the correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'.

Our findings revealed an astonishing correlation coefficient of 0.9114209 and p < 0.01 for the period of 2011 to 2021, indicating a strikingly strong relationship between these seemingly disparate factors. It appears that as the number of information sciences degrees awarded rises, so does the interest in finding the perfect pick-up line.

With the statistical evidence firmly in hand, one might say that the pursuit of knowledge in information sciences is not the only thing on the rise; so are the search queries for suave and witty opening lines. This study sheds light on the surprising interplay between academic pursuits and romantic endeavors, proving once and for all that there's more to data analysis than meets the eye.

Now we know that when it comes to love and information sciences, there's no need to choose between SQL queries and pick-up lines – after all, both are all about making meaningful connections!

Say, why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears!

[[INTRDUCTION]]
Ah, the world of academia – a realm of endless possibilities and countless opportunities to unearth the quirkiest of correlations. In this peculiar investigation, we set out to tackle the mysterious connection between obtaining an Associate degree in information sciences and the subsequent surge in the search for 'pick up lines' on Google. It's a quest for knowledge that's as exhilarating as a blind date – exciting, a little nerve-wracking, and bound to yield unexpected results!
As researchers, we often find ourselves in a maze of data, attempting to decipher the cryptic messages hidden within its numerical confines. It's a bit like being a detective, except instead of solving crimes, we're piecing together the enigmatic puzzle of human behavior and its peculiar interactions with academic pursuits. And if Sherlock Holmes were analyzing this data, you can bet he'd have a few clever pick-up lines up his tweed sleeve!
The journey through this study led us to a chuckle-worthy revelation: the correlation coefficient we uncovered between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines' was a whopping 0.9114209. It's almost as if the data itself is winking at us, nudging us with a sly elbow and saying, "Looks like there's more to this story than meets the eye!" It's a statistical love story that even Shakespeare would envy – "Shall I compare thee to a summer's algorithm? Thou art more precise and more temperate."
The significance level of p < 0.01 further solidified our findings, indicating that this correlation is not merely a chance encounter in the vast expanse of statistical noise but a bona fide relationship worth exploring further. It's as statistically robust as a well-constructed mathematical model – no fake data points or flimsy assumptions here, thank you very much!
Our examination spanned the years 2011 to 2021, a decade of technological advancements, evolving social norms, and undoubtedly, an endless array of pun-worthy pick-up lines. It's a bit like a time capsule of romantic intrigue and scholarly pursuits, with each data point serving as a quirky anecdote in the tumultuous narrative of human curiosity and affection.
Not to mention, this study sheds light on the intricate dance between academic fervor and the whimsical pursuit of romance, painting a picture where data-driven aspirations intertwine with the age-old quest for meaningful connections. It's a reminder that behind every chart and graph, there's a human story waiting to be told – and in this case, that story involves a curious journey from algorithms to amorous utterances.
In the grand tradition of academic research, we've embarked on a quest for knowledge that's as illuminating as it is entertaining. So, why don't data analysts ever play hide and seek? Because good luck running from a correlation coefficient!

[[RESULTS]]
Our analysis revealed a remarkably strong correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'. The correlation coefficient of 0.9114209 indicates a robust positive relationship between these seemingly incongruent variables. It's as if these numbers were drawn together by some mysterious force, like two star-crossed data sets destined to find each other in the vast expanse of statistical space. It's like a statistical match made in heaven, or perhaps in an online algorithmic dating service!
The r-squared value of 0.8306880 signifies that a substantial portion of the variance in the frequency of 'pick up lines' searches can be explained by the number of Associate degrees awarded in information sciences. It's a bit like understanding a complex romantic gesture – we may not have all the answers, but we've certainly deciphered a significant portion of the message. And speaking of messages, it seems that the increasing interest in information sciences is accompanied by an equally fervent desire to concoct the perfect pick-up line.
In Fig. 1, we present a scatterplot illustrating the unmistakable correlation between these variables. The data points align in a manner that is as purposeful as a meticulously crafted pick-up line, forming a clear trajectory of increasing 'pick up lines' searches as the number of Associate degrees in information sciences rises. It's like a visual representation of the mating dance between academia and online flirtation – a statistical tango of knowledge and charm.
It's as if these findings are whispering to us, "You don't need to be a statistician to see that these variables are more than just friends – they're positively smitten with each other!" This correlation is not just a random fluctuation in the data; it's a meaningful bond that beckons us to explore the underlying mechanisms driving this intriguing relationship. It's a bit like stumbling upon a hidden gem in the vast mine of statistical associations – a discovery that leaves us both baffled and delighted, much like finding a profound truth in the midst of a jovial jest.
Oh, and speaking of hidden gems, did you hear about the statistician who went to the bar and asked the bartender for the mean and a cold brew? She responded, "We don't serve statistical measures here, but we do have a mean and a median!"

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, the correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines' has left us not only enlightened but also tickled by the unexpected dance between academic pursuits and romantic endeavors. Our findings have provided compelling evidence of a robust positive relationship, akin to the magnetic attraction between a nerd and a witty one-liner at a science fiction convention.

The correlation coefficient of 0.9114209 may just be the Romeo to our Juliet, compelling us to exclaim, "O data points, wherefore art thou so well-aligned?" It's as if the numbers themselves have orchestrated a statistical serenade, harmonizing in perfect numerical tandem.

As for the r-squared value of 0.8306880, it's like understanding the majority of a quirky knock-knock joke – we may not know the punchline, but we've deciphered a significant portion of the humor. And oh, the scatterplot – it's like a romantic tableau, illustrating a blossoming courtship between knowledge and charm, with data points that twirl and tango in statistical synchrony.

In the grand tradition of academic conclusions, we assert with unwavering confidence that no further research is needed in this area. Our exploration has not only shed light on this endearing correlation but also left us with a chuckling appreciation for the delightful unpredictability of statistical relationships. After all, in the realm of data analysis, as in the pursuit of love, sometimes the most extraordinary discoveries emerge from the most unconventional pairings.

And on that note, a parting dad joke: Did you hear about the statistician who became a gardener? She found that her plants grew best when she gave them plenty of 'mu' and 'sigma-tion'.

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 Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Information Sciences and Social Behavior

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 Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Behavioral Research

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 Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines with an abstract of In this study, we delve into the peculiar world of information sciences and the unexpected implications it may have on the quest for romantic connections. Utilizing data from the National Center for Education Statistics and Google Trends, we embarked on an unconventional journey to explore the correlation between the number of Associate degrees awarded in information sciences and the frequency of Google searches for 'pick up lines'.
Our findings revealed an astonishing correlation coefficient of 0.9114209 and p < 0.01 for the period of 2011 to 2021, indicating a strikingly strong relationship between these seemingly disparate factors. It appears that as the number of information sciences degrees awarded rises, so does the interest in finding the perfect pick-up line.
With the statistical evidence firmly in hand, one might say that the pursuit of knowledge in information sciences is not the only thing on the rise; so are the search queries for suave and witty opening lines. This study sheds light on the surprising interplay between academic pursuits and romantic endeavors, proving once and for all that there's more to data analysis than meets the eye.
Now we know that when it comes to love and information sciences, there's no need to choose between SQL queries and pick-up lines – after all, both are all about making meaningful connections!
Say, why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears!

ChatGPT:

information sciences, associate degrees, Google searches, pick up lines, correlation, National Center for Education Statistics, Google Trends, academic pursuits, romantic endeavors, data analysis, statistical evidence, suave pick-up lines, witty pick-up lines, meaningful connections

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

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Data details

Associates degrees awarded in information sciences
Detailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Computer and information sciences and support services
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in information sciences

Google searches for 'pick up lines'
Detailed data title: Relative volume of Google searches for 'pick up lines' (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 'pick up lines'

Correlation r = 0.9114209 (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 = 0.8306880 (Coefficient of determination)
This means 83.1% of the change in the one variable (i.e., Google searches for 'pick up lines') is predictable based on the change in the other (i.e., Associates degrees awarded in information sciences) over the 11 years from 2011 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 9.4E-5.^Show 0.0000942744817926064900000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.91 in 0.0094% of random cases. Said differently, if you correlated 10,607 random variables^Note Which I absolutely did.
with the same 10 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.

[ 0.69, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Associates degrees awarded in information sciences (Degrees awarded)	37689	41250	38954	37646	36420	30571	31171	31496	32001	32037	34164
Google searches for 'pick up lines' (Rel. search volume)	68.6667	80.4167	64.5833	67.5	65.3333	53.4167	51.5	43.8333	47.8333	57.6667	53.5

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

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

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([37689,41250,38954,37646,36420,30571,31171,31496,32001,32037,34164,])
array_2 = np.array([68.6667,80.4167,64.5833,67.5,65.3333,53.4167,51.5,43.8333,47.8333,57.6667,53.5,])
array_1_name = "Associates degrees awarded in information sciences"
array_2_name = "Google searches for 'pick up lines'"

# 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 Associates degrees awarded in information sciences
Line chart for only Google searches for 'pick up lines'
AI-generated correlation image
The spurious research paper: Degrees of Pickup: An Examination of the Correlation Between Information Sciences Associate Degrees and Google Searches for Pick Up Lines

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Correlation ID: 2162 · Black Variable ID: 1222 · Red Variable ID: 1500


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