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Spurious correlation #4,822 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How geeky LockPickingLawyer YouTube video titles are and the second variable is Burglaries in Puerto Rico.  The chart goes from 2015 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the LockPickingLawyer's video titles became less geeky, his content became more accessible to a wider audience. This inadvertently led to an increase in amateur locksmithing skills among the residents of Puerto Rico. Consequently, would-be burglars found it increasingly challenging to engage in unlawful entry, ultimately leading to a decrease in burglaries in the region. Remember, you don't need a lock to keep a good joke in.

Model: dalle-3
Prompt: Generate an image of the LockPickingLawyer's sleek high-tech YouTube studio, with modern glass walls offering a view of the streets of Puerto Rico. On the studio walls, dynamically shifting digital displays showcase the evolving titles "Picking the Unpickable" and "Defeating the Toughest Locks," gradually transforming into "Easy Tricks for Beginners" and "How to Open Common Locks." Beyond the glass, residents of Puerto Rico gather around digital screens, engrossed in the accessible lockpicking tutorials, practicing their newfound skills. As the scene unfolds, would-be burglars are shown visibly struggling with locks that were once easy targets, reflecting a decrease in successful burglaries in the region. 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: How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico. 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: High-tech Cute cartoon 3D Pixar Style Cutsy graphics Parallax art
ChatGPT: High-tech

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 How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico, in the following situation: As the LockPickingLawyer's video titles became less geeky, his content became more accessible to a wider audience. This inadvertently led to an increase in amateur locksmithing skills among the residents of Puerto Rico. Consequently, would-be burglars found it increasingly challenging to engage in unlawful entry, ultimately leading to a decrease in burglaries in the region. Remember, you don't need a lock to keep a good joke in.. Keep the description simple.
ChatGPT: In the LockPickingLawyer's YouTube studio, the walls are adorned with titles like "Picking the Unpickable" and "Defeating the Toughest Locks." As the titles gradually shift to "Easy Tricks for Beginners" and "How to Open Common Locks," the scene outside the studio changes. In the streets of Puerto Rico, residents are seen watching the now more accessible videos with keen interest, practicing their newly acquired locksmithing skills. Meanwhile, would-be burglars are shown struggling with locks that were once easy targets, reflecting the decrease in successful burglaries in the region.

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: [ High-tech ] and depicting this scene: In the LockPickingLawyer's YouTube studio, the walls are adorned with titles like "Picking the Unpickable" and "Defeating the Toughest Locks." As the titles gradually shift to "Easy Tricks for Beginners" and "How to Open Common Locks," the scene outside the studio changes. In the streets of Puerto Rico, residents are seen watching the now more accessible videos with keen interest, practicing their newly acquired locksmithing skills. Meanwhile, would-be burglars are shown struggling with locks that were once easy targets, reflecting the decrease in successful burglaries in the region. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of the LockPickingLawyer's sleek high-tech YouTube studio, with modern glass walls offering a view of the streets of Puerto Rico. On the studio walls, dynamically shifting digital displays showcase the evolving titles "Picking the Unpickable" and "Defeating the Toughest Locks," gradually transforming into "Easy Tricks for Beginners" and "How to Open Common Locks." Beyond the glass, residents of Puerto Rico gather around digital screens, engrossed in the accessible lockpicking tutorials, practicing their newfound skills. As the scene unfolds, would-be burglars are shown visibly struggling with locks that were once easy targets, reflecting a decrease in successful burglaries in the region.

*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 How geeky LockPickingLawyer YouTube video titles are caused Burglaries in Puerto Rico to decrease.

AI academic paper

(Because p < 0.01)
Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament

The Journal of Locking and Legal Loopholes

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 witty academic researcher. Your writing sounds like it belongs in a statistics 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 How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico. Make lots of jokes, goofy observations, and puns.

Make the title an alliteration.

Your research team used data from AI analysis of YouTube video titles and FBI Criminal Justice Information Services to assess this nagging question. You found a correlation coefficient of 0.8900479 and p < 0.01 for 2015 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]]
Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament

[[ABSTRACT]]
This study delves into the unexpected and utterly confounding connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Leveraging a multidisciplinary approach, our research team utilized AI analysis of YouTube video titles and data from the FBI Criminal Justice Information Services to scrutinize this enigmatic association. We unearthed a striking correlation coefficient of 0.8900479 with a p-value less than 0.01 for the time period spanning 2015 to 2022. Brimming with witty observations and whimsical puns, this paper unveils the surprising nexus between lock-picking videos and burglary trends, challenging conventional wisdom and sparking laughter among researchers and readers alike.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament

[[ABSTRACT]]
This study delves into the unexpected and utterly confounding connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Leveraging a multidisciplinary approach, our research team utilized AI analysis of YouTube video titles and data from the FBI Criminal Justice Information Services to scrutinize this enigmatic association. We unearthed a striking correlation coefficient of 0.8900479 with a p-value less than 0.01 for the time period spanning 2015 to 2022. Brimming with witty observations and whimsical puns, this paper unveils the surprising nexus between lock-picking videos and burglary trends, challenging conventional wisdom and sparking laughter among researchers and readers alike.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

In the grand tapestry of the internet, there exists a peculiar corner where the art of lock picking meets the geeky allure of YouTube. At the center of this curiously captivating realm stands the LockPickingLawyer, a figure who has mastered the delicate dance of picking locks and sharing it with the world in a way that has garnered both fascination and amusement. Little did we know that hidden within the whimsical titles of his YouTube videos lay a connection that would tie him to a far more serious matter – burglaries in the Caribbean enclave of Puerto Rico.

As researchers, we often find ourselves navigating through the labyrinth of data with unyielding determination and a dash of humor. Hence, when the peculiar parallel between lock-picking videos and burglary rates in Puerto Rico came to our attention, we simply couldn’t resist the opportunity to unravel this confounding correlation. Our adventure led us to leverage the power of artificial intelligence to dissect the enigmatic YouTube video titles and to juxtapose them with the comprehensive data from the FBI Criminal Justice Information Services.

The results of our analysis unveiled a correlation coefficient that might make even the most stoic statistician raise an eyebrow – a staggering 0.8900479, all with a p-value of less than 0.01. As we sifted through the data spanning from 2015 to 2022, it became apparent that there was indeed more to the LockPickingLawyer's videos than met the eye.

In the pages that follow, we invite our esteemed colleagues and readers to join us on this fascinating pursuit of knowledge and whimsy. Prepare yourselves for a journey filled with witty observations, whimsical puns, and an exploration of the unexpected nexus between the captivating world of lock-picking videos and the sobering realities of burglary trends. Indeed, our findings challenge not only conventional wisdom but also promise to elicit both contemplation and chuckles, sparking laughter among researchers and readers alike. So let us embark on this peculiar picking adventure and dive into the puzzling parallels of the LockPickingLawyer's Puerto Rican predicament.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament

[[ABSTRACT]]
This study delves into the unexpected and utterly confounding connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Leveraging a multidisciplinary approach, our research team utilized AI analysis of YouTube video titles and data from the FBI Criminal Justice Information Services to scrutinize this enigmatic association. We unearthed a striking correlation coefficient of 0.8900479 with a p-value less than 0.01 for the time period spanning 2015 to 2022. Brimming with witty observations and whimsical puns, this paper unveils the surprising nexus between lock-picking videos and burglary trends, challenging conventional wisdom and sparking laughter among researchers and readers alike.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the grand tapestry of the internet, there exists a peculiar corner where the art of lock picking meets the geeky allure of YouTube. At the center of this curiously captivating realm stands the LockPickingLawyer, a figure who has mastered the delicate dance of picking locks and sharing it with the world in a way that has garnered both fascination and amusement. Little did we know that hidden within the whimsical titles of his YouTube videos lay a connection that would tie him to a far more serious matter – burglaries in the Caribbean enclave of Puerto Rico.
As researchers, we often find ourselves navigating through the labyrinth of data with unyielding determination and a dash of humor. Hence, when the peculiar parallel between lock-picking videos and burglary rates in Puerto Rico came to our attention, we simply couldn’t resist the opportunity to unravel this confounding correlation. Our adventure led us to leverage the power of artificial intelligence to dissect the enigmatic YouTube video titles and to juxtapose them with the comprehensive data from the FBI Criminal Justice Information Services.
The results of our analysis unveiled a correlation coefficient that might make even the most stoic statistician raise an eyebrow – a staggering 0.8900479, all with a p-value of less than 0.01. As we sifted through the data spanning from 2015 to 2022, it became apparent that there was indeed more to the LockPickingLawyer's videos than met the eye.
In the pages that follow, we invite our esteemed colleagues and readers to join us on this fascinating pursuit of knowledge and whimsy. Prepare yourselves for a journey filled with witty observations, whimsical puns, and an exploration of the unexpected nexus between the captivating world of lock-picking videos and the sobering realities of burglary trends. Indeed, our findings challenge not only conventional wisdom but also promise to elicit both contemplation and chuckles, sparking laughter among researchers and readers alike. So let us embark on this peculiar picking adventure and dive into the puzzling parallels of the LockPickingLawyer's Puerto Rican predicament.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In "Smith et al.," the authors find that the relationship between YouTube video titles and criminal behavior is a topic that merits further investigation, given the potential influence of media content on societal attitudes and actions. "Doe and Jones" suggest that the use of artificial intelligence in analyzing online content can provide valuable insights into the underlying patterns and associations, shedding light on otherwise elusive connections. These serious inquiries set the stage for our whimsically rigorous exploration of the enthralling correlation between the geeky video titles produced by the LockPickingLawyer and the occurrence of burglaries in the enchanting locale of Puerto Rico.

Venturing beyond the academic realm, the literature leads us to "The Art of Intrusion" by Kevin D. Mitnick and "Ghost in the Wires" by Kevin D. Mitnick, where the real-world exploits of hackers provide an intriguing backdrop for our own foray into the digital domain. With a whimsical twist, "The Burglar in the Library" by Lawrence Block and "The Lock Artist" by Steve Hamilton beckon to us, teasing the edges of relevance to our peculiar pursuit.

As our curiosity knows no bounds, we delved further into the obscure and the absurd, drawing inspiration from unexpected sources such as the cryptic codes of grocery store receipts and the enigmatic musings of fortune cookies. In our tireless quest for understanding, we embraced the whimsy that permeates the very essence of our peculiar picking adventure and brought forth a brand-new perspective that is as enlightening as it is entertaining. And so, armed with a dash of humor and a relentless pursuit of knowledge, we present our findings to the world, unlocking the puzzling parallels of a predicament that marries the worlds of lock-picking and burglary in a manner both captivating and comical.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and FBI Criminal Justice Information Services . You used data from 2015 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]]
Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament

[[ABSTRACT]]
This study delves into the unexpected and utterly confounding connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Leveraging a multidisciplinary approach, our research team utilized AI analysis of YouTube video titles and data from the FBI Criminal Justice Information Services to scrutinize this enigmatic association. We unearthed a striking correlation coefficient of 0.8900479 with a p-value less than 0.01 for the time period spanning 2015 to 2022. Brimming with witty observations and whimsical puns, this paper unveils the surprising nexus between lock-picking videos and burglary trends, challenging conventional wisdom and sparking laughter among researchers and readers alike.

[[INTRODUCTION]]
In the grand tapestry of the internet, there exists a peculiar corner where the art of lock picking meets the geeky allure of YouTube. At the center of this curiously captivating realm stands the LockPickingLawyer, a figure who has mastered the delicate dance of picking locks and sharing it with the world in a way that has garnered both fascination and amusement. Little did we know that hidden within the whimsical titles of his YouTube videos lay a connection that would tie him to a far more serious matter – burglaries in the Caribbean enclave of Puerto Rico.
As researchers, we often find ourselves navigating through the labyrinth of data with unyielding determination and a dash of humor. Hence, when the peculiar parallel between lock-picking videos and burglary rates in Puerto Rico came to our attention, we simply couldn’t resist the opportunity to unravel this confounding correlation. Our adventure led us to leverage the power of artificial intelligence to dissect the enigmatic YouTube video titles and to juxtapose them with the comprehensive data from the FBI Criminal Justice Information Services.
The results of our analysis unveiled a correlation coefficient that might make even the most stoic statistician raise an eyebrow – a staggering 0.8900479, all with a p-value of less than 0.01. As we sifted through the data spanning from 2015 to 2022, it became apparent that there was indeed more to the LockPickingLawyer's videos than met the eye.
In the pages that follow, we invite our esteemed colleagues and readers to join us on this fascinating pursuit of knowledge and whimsy. Prepare yourselves for a journey filled with witty observations, whimsical puns, and an exploration of the unexpected nexus between the captivating world of lock-picking videos and the sobering realities of burglary trends. Indeed, our findings challenge not only conventional wisdom but also promise to elicit both contemplation and chuckles, sparking laughter among researchers and readers alike. So let us embark on this peculiar picking adventure and dive into the puzzling parallels of the LockPickingLawyer's Puerto Rican predicament.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To facilitate our investigation into the perplexing correlation between the whimsically titled YouTube videos by the LockPickingLawyer and incidences of burglary in Puerto Rico, a multidisciplinary research approach was employed. This approach included the utilization of advanced artificial intelligence (AI) technologies to analyze the semantic and lexical features of video titles, alongside the comprehensive dataset from the FBI Criminal Justice Information Services. This peculiar combination of methodologies aimed to shed light on the intricate web of connections between seemingly disparate realms of digital entertainment and criminal activities.

The data collection process commenced with the collation of all available YouTube video titles from the LockPickingLawyer's channel, spanning the period from 2015 to 2022. The rich pool of titles was subjected to rigorous semantic analysis and lexical scrutiny, seeking to discern any underlying patterns or associations between the geeky allure of lock-picking and its potential ramifications in real-world criminal activities. Our dedicated team of researchers embraced this task with unwavering commitment, navigating through the labyrinth of YouTube's content with a blend of analytical rigor and occasional chuckles at the whimsicality of the titles.

Moreover, the FBI Criminal Justice Information Services provided invaluable data on burglary rates in Puerto Rico during the same time frame. This esteemed source of criminal justice information offered a comprehensive overview of burglary trends, meticulously compiled and curated to enable robust statistical analyses. Leveraging this authoritative dataset, we sought to identify any significant temporal coincidences between the release of LockPickingLawyer's videos and spikes in burglary incidents, if any were to be found.

The juxtaposition and innovative fusion of these datasets represented the crux of our research design, with the overarching goal of unraveling the interplay between digital entertainment and potential real-world implications. The multidisciplinary nature of our approach, amalgamating AI analysis of curious YouTube titles with authoritative criminal justice datasets, endowed our inquiry with a distinctive flavor of whimsy and intellectual depth.

Furthermore, the processing and analysis of the collected data encompassed a blend of cutting-edge statistical techniques, including, but not limited to, time-series analyses, regression modeling, and pattern detection algorithms. These methodological instruments were deftly wielded to scrutinize the intricate tapestry of insights concealed within the data, and to tease out any semblance of causality or correlation between the esoteric world of lock-picking videos and the solemn reality of burglary trends in Puerto Rico.

In summation, our methodology embodies an intricate amalgamation of AI-driven semantic analysis, comprehensive criminal justice datasets, and advanced statistical modeling, all orchestrated to illuminate the enigmatic nexus between geeky YouTube video titles and real-world criminal activities. With unwavering dedication and a penchant for the unexpected, our research team embarked on this peculiar journey of intellectual inquiry, marinated in humor and supported by rigorous academic rigor.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and FBI Criminal Justice Information Services .

For the time period 2015 to 2022, you found a correlation 0.8900479, r-squared of 0.7921852, 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]]
Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament

[[ABSTRACT]]
This study delves into the unexpected and utterly confounding connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Leveraging a multidisciplinary approach, our research team utilized AI analysis of YouTube video titles and data from the FBI Criminal Justice Information Services to scrutinize this enigmatic association. We unearthed a striking correlation coefficient of 0.8900479 with a p-value less than 0.01 for the time period spanning 2015 to 2022. Brimming with witty observations and whimsical puns, this paper unveils the surprising nexus between lock-picking videos and burglary trends, challenging conventional wisdom and sparking laughter among researchers and readers alike.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the grand tapestry of the internet, there exists a peculiar corner where the art of lock picking meets the geeky allure of YouTube. At the center of this curiously captivating realm stands the LockPickingLawyer, a figure who has mastered the delicate dance of picking locks and sharing it with the world in a way that has garnered both fascination and amusement. Little did we know that hidden within the whimsical titles of his YouTube videos lay a connection that would tie him to a far more serious matter – burglaries in the Caribbean enclave of Puerto Rico.
As researchers, we often find ourselves navigating through the labyrinth of data with unyielding determination and a dash of humor. Hence, when the peculiar parallel between lock-picking videos and burglary rates in Puerto Rico came to our attention, we simply couldn’t resist the opportunity to unravel this confounding correlation. Our adventure led us to leverage the power of artificial intelligence to dissect the enigmatic YouTube video titles and to juxtapose them with the comprehensive data from the FBI Criminal Justice Information Services.
The results of our analysis unveiled a correlation coefficient that might make even the most stoic statistician raise an eyebrow – a staggering 0.8900479, all with a p-value of less than 0.01. As we sifted through the data spanning from 2015 to 2022, it became apparent that there was indeed more to the LockPickingLawyer's videos than met the eye.
In the pages that follow, we invite our esteemed colleagues and readers to join us on this fascinating pursuit of knowledge and whimsy. Prepare yourselves for a journey filled with witty observations, whimsical puns, and an exploration of the unexpected nexus between the captivating world of lock-picking videos and the sobering realities of burglary trends. Indeed, our findings challenge not only conventional wisdom but also promise to elicit both contemplation and chuckles, sparking laughter among researchers and readers alike. So let us embark on this peculiar picking adventure and dive into the puzzling parallels of the LockPickingLawyer's Puerto Rican predicament.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our investigation reveal a strong and perplexing connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Our data analysis yielded a correlation coefficient of 0.8900479, suggesting a robust relationship between these seemingly disparate phenomena. Furthermore, the coefficient of determination, indicated by the r-squared value of 0.7921852, underscores the substantial extent to which variations in the lock-picking video titles are associated with changes in burglary rates in Puerto Rico from 2015 to 2022. The p-value of less than 0.01 provides compelling evidence against the null hypothesis, affirming the statistical significance of this unforeseen correlation.

We present Figure 1, a striking scatterplot that visually depicts the pronounced association between the frequencies of peculiar lock-picking video titles by the LockPickingLawyer and the occurrences of burglaries in Puerto Rico. The scatterplot unambiguously portrays the tight clustering of data points, affirming the strength and consistency of the correlation observed in our analysis.

Our findings highlight the need for a more nuanced understanding of the interplay between internet content and real-world phenomena, as the unanticipated nexus unveiled in this study challenges conventional wisdom. Moreover, amidst the seriousness of our scholarly pursuit, we cannot help but marvel at the whimsical nature of this association, prompting a lighthearted appreciation for the unexpected ways in which seemingly unrelated domains intersect. Indeed, the LockPickingLawyer's Puerto Rican predicament, as revealed through this research, serves as a testament to the complexity and capriciousness of the digital age.

The magnificently peculiar parallels we have disentangled in this study promise to stimulate discourse and elicit both scholarly contemplation and lighthearted amusement, showcasing the delightful diversity of discoveries in academic inquiry.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament

[[ABSTRACT]]
This study delves into the unexpected and utterly confounding connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Leveraging a multidisciplinary approach, our research team utilized AI analysis of YouTube video titles and data from the FBI Criminal Justice Information Services to scrutinize this enigmatic association. We unearthed a striking correlation coefficient of 0.8900479 with a p-value less than 0.01 for the time period spanning 2015 to 2022. Brimming with witty observations and whimsical puns, this paper unveils the surprising nexus between lock-picking videos and burglary trends, challenging conventional wisdom and sparking laughter among researchers and readers alike.

[[LITERATURE REVIEW]]
In "Smith et al.," the authors find that the relationship between YouTube video titles and criminal behavior is a topic that merits further investigation, given the potential influence of media content on societal attitudes and actions. "Doe and Jones" suggest that the use of artificial intelligence in analyzing online content can provide valuable insights into the underlying patterns and associations, shedding light on otherwise elusive connections. These serious inquiries set the stage for our whimsically rigorous exploration of the enthralling correlation between the geeky video titles produced by the LockPickingLawyer and the occurrence of burglaries in the enchanting locale of Puerto Rico.
Venturing beyond the academic realm, the literature leads us to "The Art of Intrusion" by Kevin D. Mitnick and "Ghost in the Wires" by Kevin D. Mitnick, where the real-world exploits of hackers provide an intriguing backdrop for our own foray into the digital domain. With a whimsical twist, "The Burglar in the Library" by Lawrence Block and "The Lock Artist" by Steve Hamilton beckon to us, teasing the edges of relevance to our peculiar pursuit.
As our curiosity knows no bounds, we delved further into the obscure and the absurd, drawing inspiration from unexpected sources such as the cryptic codes of grocery store receipts and the enigmatic musings of fortune cookies. In our tireless quest for understanding, we embraced the whimsy that permeates the very essence of our peculiar picking adventure and brought forth a brand-new perspective that is as enlightening as it is entertaining. And so, armed with a dash of humor and a relentless pursuit of knowledge, we present our findings to the world, unlocking the puzzling parallels of a predicament that marries the worlds of lock-picking and burglary in a manner both captivating and comical.

[[RESULTS]]
The results of our investigation reveal a strong and perplexing connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Our data analysis yielded a correlation coefficient of 0.8900479, suggesting a robust relationship between these seemingly disparate phenomena. Furthermore, the coefficient of determination, indicated by the r-squared value of 0.7921852, underscores the substantial extent to which variations in the lock-picking video titles are associated with changes in burglary rates in Puerto Rico from 2015 to 2022. The p-value of less than 0.01 provides compelling evidence against the null hypothesis, affirming the statistical significance of this unforeseen correlation.
We present Figure 1, a striking scatterplot that visually depicts the pronounced association between the frequencies of peculiar lock-picking video titles by the LockPickingLawyer and the occurrences of burglaries in Puerto Rico. The scatterplot unambiguously portrays the tight clustering of data points, affirming the strength and consistency of the correlation observed in our analysis.
Our findings highlight the need for a more nuanced understanding of the interplay between internet content and real-world phenomena, as the unanticipated nexus unveiled in this study challenges conventional wisdom. Moreover, amidst the seriousness of our scholarly pursuit, we cannot help but marvel at the whimsical nature of this association, prompting a lighthearted appreciation for the unexpected ways in which seemingly unrelated domains intersect. Indeed, the LockPickingLawyer's Puerto Rican predicament, as revealed through this research, serves as a testament to the complexity and capriciousness of the digital age.
The magnificently peculiar parallels we have disentangled in this study promise to stimulate discourse and elicit both scholarly contemplation and lighthearted amusement, showcasing the delightful diversity of discoveries in academic inquiry.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The enthralling correlation uncovered in this study, between the geeky YouTube video titles of the LockPickingLawyer and the occurrence of burglaries in Puerto Rico, has undoubtedly left our research team both astounded and amused. Our findings not only support the prior research by Smith et al. and Doe and Jones, but they also add a whimsical layer of intrigue to the serious inquiry of the interplay between online content and real-world behavior.

It is intriguing to note how our results, while appearing delightfully absurd on the surface, actually align with the notion put forth by Smith et al. that media content can influence societal attitudes and actions. The robust correlation coefficient of 0.8900479 and the significant p-value less than 0.01 provide empirical evidence of a compelling association between the frequency of peculiar lock-picking video titles and the occurrences of burglaries in Puerto Rico. Our findings echo the call for further investigation into the potential impact of digital media on behavioral patterns in society, fueling our collective curiosity and academic fervor.

Venturing back to the whimsical twist in our literature review, the works of Kevin D. Mitnick provided an unexpected backdrop for our research, as we delved into the digital domain with a mixture of scholarly rigor and lighthearted fascination. Indeed, the LockPickingLawyer's Puerto Rican predicament, as unveiled in this study, embodies the capriciousness and complexity of the modern age, eliciting an appreciation for the unforeseen connections that permeate our world.

While the serious implications of our findings cannot be overstated, the delightfully comical nature of this association adds a layer of whimsy to our scholarly pursuit. We are thrilled to have uncovered the magnificently peculiar parallels between lock-picking videos and burglary trends, and we anticipate that our research will stimulate a blend of scholarly contemplation and lighthearted amusement, underscoring the delightful diversity of discoveries in academic inquiry.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 How geeky LockPickingLawyer YouTube video titles are and Burglaries in Puerto Rico. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament

[[ABSTRACT]]
This study delves into the unexpected and utterly confounding connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Leveraging a multidisciplinary approach, our research team utilized AI analysis of YouTube video titles and data from the FBI Criminal Justice Information Services to scrutinize this enigmatic association. We unearthed a striking correlation coefficient of 0.8900479 with a p-value less than 0.01 for the time period spanning 2015 to 2022. Brimming with witty observations and whimsical puns, this paper unveils the surprising nexus between lock-picking videos and burglary trends, challenging conventional wisdom and sparking laughter among researchers and readers alike.

[[INTRDUCTION]]
In the grand tapestry of the internet, there exists a peculiar corner where the art of lock picking meets the geeky allure of YouTube. At the center of this curiously captivating realm stands the LockPickingLawyer, a figure who has mastered the delicate dance of picking locks and sharing it with the world in a way that has garnered both fascination and amusement. Little did we know that hidden within the whimsical titles of his YouTube videos lay a connection that would tie him to a far more serious matter – burglaries in the Caribbean enclave of Puerto Rico.
As researchers, we often find ourselves navigating through the labyrinth of data with unyielding determination and a dash of humor. Hence, when the peculiar parallel between lock-picking videos and burglary rates in Puerto Rico came to our attention, we simply couldn’t resist the opportunity to unravel this confounding correlation. Our adventure led us to leverage the power of artificial intelligence to dissect the enigmatic YouTube video titles and to juxtapose them with the comprehensive data from the FBI Criminal Justice Information Services.
The results of our analysis unveiled a correlation coefficient that might make even the most stoic statistician raise an eyebrow – a staggering 0.8900479, all with a p-value of less than 0.01. As we sifted through the data spanning from 2015 to 2022, it became apparent that there was indeed more to the LockPickingLawyer's videos than met the eye.
In the pages that follow, we invite our esteemed colleagues and readers to join us on this fascinating pursuit of knowledge and whimsy. Prepare yourselves for a journey filled with witty observations, whimsical puns, and an exploration of the unexpected nexus between the captivating world of lock-picking videos and the sobering realities of burglary trends. Indeed, our findings challenge not only conventional wisdom but also promise to elicit both contemplation and chuckles, sparking laughter among researchers and readers alike. So let us embark on this peculiar picking adventure and dive into the puzzling parallels of the LockPickingLawyer's Puerto Rican predicament.

[[RESULTS]]
The results of our investigation reveal a strong and perplexing connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Our data analysis yielded a correlation coefficient of 0.8900479, suggesting a robust relationship between these seemingly disparate phenomena. Furthermore, the coefficient of determination, indicated by the r-squared value of 0.7921852, underscores the substantial extent to which variations in the lock-picking video titles are associated with changes in burglary rates in Puerto Rico from 2015 to 2022. The p-value of less than 0.01 provides compelling evidence against the null hypothesis, affirming the statistical significance of this unforeseen correlation.
We present Figure 1, a striking scatterplot that visually depicts the pronounced association between the frequencies of peculiar lock-picking video titles by the LockPickingLawyer and the occurrences of burglaries in Puerto Rico. The scatterplot unambiguously portrays the tight clustering of data points, affirming the strength and consistency of the correlation observed in our analysis.
Our findings highlight the need for a more nuanced understanding of the interplay between internet content and real-world phenomena, as the unanticipated nexus unveiled in this study challenges conventional wisdom. Moreover, amidst the seriousness of our scholarly pursuit, we cannot help but marvel at the whimsical nature of this association, prompting a lighthearted appreciation for the unexpected ways in which seemingly unrelated domains intersect. Indeed, the LockPickingLawyer's Puerto Rican predicament, as revealed through this research, serves as a testament to the complexity and capriciousness of the digital age.
The magnificently peculiar parallels we have disentangled in this study promise to stimulate discourse and elicit both scholarly contemplation and lighthearted amusement, showcasing the delightful diversity of discoveries in academic inquiry.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study has plumbed the depths of the enigmatic association between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico, unearthing a striking correlation that even the most seasoned researcher would find eyebrow-raising. The robust correlation coefficient of 0.8900479, coupled with a p-value less than 0.01, emphatically supports the presence of a substantial relationship between the frequency of peculiar lock-picking video titles and the occurrences of burglaries in Puerto Rico from 2015 to 2022.

As we reflect on the unexpected nexus between a niche corner of the internet and real-world crime, one cannot help but marvel at the whimsical nature of this correlation. It serves as a reminder of the delightful and at times confounding intersections that can emerge amidst the vast landscape of data and human behavior. The unpredictability of our findings adds a dash of irony to the sobering context of burglary rates, eliciting chuckles and head-scratching in equal measure.

While our study sheds light on the captivating interplay between seemingly unrelated domains, it also underscores the need for a more nuanced understanding of the influences of internet content on societal phenomena. The LockPickingLawyer's Puerto Rican predicament, as unravelled through this research, stands as a testament to the capricious and humorous ways in which the digital age continues to surprise us.

With our journey into the puzzling parallels of LockPickingLawyer's Puerto Rican predicament, we hope to have ignited both scholarly contemplation and lighthearted amusement, leaving our readers with a newfound appreciation for the whimsy that occasionally permeates the most unexpected facets of academic inquiry. As such, we assert with confidence that no further research is needed in this peculiar, yet surprisingly captivating, area.

The End.


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 Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Locking and Legal Loopholes


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 Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament. Respond only with the name of a fictional organization.

ChatGPT:

Scientific Consortium for Quirky Inquiries


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 Peculiar Picking: Probing the Puzzling Parallels of LockPickingLawyer's Puerto Rican Predicament with an abstract of This study delves into the unexpected and utterly confounding connection between the geeky YouTube video titles of the LockPickingLawyer and the incidence of burglaries in Puerto Rico. Leveraging a multidisciplinary approach, our research team utilized AI analysis of YouTube video titles and data from the FBI Criminal Justice Information Services to scrutinize this enigmatic association. We unearthed a striking correlation coefficient of 0.8900479 with a p-value less than 0.01 for the time period spanning 2015 to 2022. Brimming with witty observations and whimsical puns, this paper unveils the surprising nexus between lock-picking videos and burglary trends, challenging conventional wisdom and sparking laughter among researchers and readers alike.

ChatGPT:

LockPickingLawyer, YouTube, burglaries, Puerto Rico, correlation, AI analysis, FBI Criminal Justice Information Services, association, correlation coefficient, p-value, lock-picking videos, burglary trends, multidisciplinary approach

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



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Data details

How geeky LockPickingLawyer YouTube video titles are
Detailed data title: How geeky LockPickingLawyer YouTube video titles are, as rated by an AI.
Source: AI analysis of YouTube video titles
Additional Info: I asked a large language model, 'On a scale of 1-10, how _______ do you think this YouTube video title is?' for every video.

See what else correlates with How geeky LockPickingLawyer YouTube video titles are

Burglaries in Puerto Rico
Detailed data title: The burglary rate per 100,000 residents in Puerto Rico
Source: FBI Criminal Justice Information Services
See what else correlates with Burglaries in Puerto Rico

Correlation r = 0.8900479 (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 = 0.7921852 (Coefficient of determination)
This means 79.2% of the change in the one variable (i.e., Burglaries in Puerto Rico) is predictable based on the change in the other (i.e., How geeky LockPickingLawyer YouTube video titles are) over the 8 years from 2015 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00306. 0.0030551442130850730000000000
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 0.89 in 0.306% of random cases. Said differently, if you correlated 327 random variables Which I absolutely did.
with the same 7 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 7 because we have two variables measured over a period of 8 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.

[ 0.5, 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.
20152016201720182019202020212022
How geeky LockPickingLawyer YouTube video titles are (Geeky score (out of 10))7.73867.55387.63227.12276.72736.54956.70526.36
Burglaries in Puerto Rico (Burglary rate)263.4242.2239.1171.8134.493.4080




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.
  4. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
  5. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. 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([7.7386,7.5538,7.6322,7.1227,6.7273,6.5495,6.7052,6.36,])
array_2 = np.array([263.4,242.2,239.1,171.8,134.4,93.4,0,80,])
array_1_name = "How geeky LockPickingLawyer YouTube video titles are"
array_2_name = "Burglaries in Puerto Rico"

# 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: 4822 · Black Variable ID: 25768 · Red Variable ID: 20131
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