Download png, svg
AI explanation
As the name Killian gained popularity, more and more parents were unconsciously raising little daredevils who just couldn't resist climbing trees, leaping off monkey bars, and attempting all sorts of risky stunts on the playground. This surge in energetic and accident-prone children led to a corresponding demand for psychiatric aides in Minnesota, who found themselves constantly on the go, trying to keep up with these fearless mini-Killians and ensure that no one ended up needing their services. It was a wild, wild west of child psychology in the Land of 10,000 Lakes!Model: dalle-3
Prompt: Generate an image depicting a Minnesota hospital with a minimalistic style. In the foreground, show a group of friendly psychiatric aides gathered around a young patient named Killian. They are engaging in conversation and playing games, showcasing compassionate care and support. As they walk through the hospital's corridors, portray other patients and staff members warmly greeting Killian and the aides. Emphasize the sense of familiarity and camaraderie amongst those in the hospital, reflecting the popularity of the name "Killian." Keep the visual elements simple, while capturing the warmth and interactions in a minimalist manner. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Popularity of the first name Killian and The number of psychiatric aides in Minnesota. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Minimalism Photorealism Cybernetic art Cutsy graphics Cute cartoon
ChatGPT: Minimalism
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 Popularity of the first name Killian and The number of psychiatric aides in Minnesota together. Keep the description simple.
ChatGPT: In a busy Minnesota hospital, a group of friendly psychiatric aides gathers around a young patient named Killian. They chat and play games together, providing compassionate care and support. As they walk through the hospital's corridors, they catch the attention of other patients and staff members, all of whom warmly greet Killian and the aides. The popularity of the name "Killian" is reflected in the warm interactions and familiarity shared by many in the hospital.
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: [ Minimalism ] and depicting this scene: In a busy Minnesota hospital, a group of friendly psychiatric aides gathers around a young patient named Killian. They chat and play games together, providing compassionate care and support. As they walk through the hospital's corridors, they catch the attention of other patients and staff members, all of whom warmly greet Killian and the aides. The popularity of the name "Killian" is reflected in the warm interactions and familiarity shared by many in the hospital. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image depicting a Minnesota hospital with a minimalistic style. In the foreground, show a group of friendly psychiatric aides gathered around a young patient named Killian. They are engaging in conversation and playing games, showcasing compassionate care and support. As they walk through the hospital's corridors, portray other patients and staff members warmly greeting Killian and the aides. Emphasize the sense of familiarity and camaraderie amongst those in the hospital, reflecting the popularity of the name "Killian." Keep the visual elements simple, while capturing the warmth and interactions in a minimalist manner.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Popularity of the first name Killian caused The number of psychiatric aides in Minnesota to increase.
AI academic paper
Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota Journal of Quirky Psychiatric Phenomena Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 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 Popularity of the first name Killian and The number of psychiatric aides in Minnesota. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title a clever pun.
Your research team used data from US Social Security Administration and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.8399505 and p < 0.01 for 2003 to 2018.
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]]
"Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota"
[[ABSTRACT]]
This study delves into the curious link between the popularity of the first name Killian and the number of psychiatric aides in the state of Minnesota. Utilizing data from the US Social Security Administration and the Bureau of Labor Statistics, we sought to answer the burning question: does the prevalence of the name Killian have any impact on the demand for psychiatric aides in Minnesota? We approached this question with curiosity and—dare I say—psychiatric zeal.
Our analysis uncovered a surprising correlation coefficient of 0.8399505 and a statistically significant p-value of less than 0.01 for the years 2003 to 2018. This correlation suggests a strong positive relationship between the popularity of the name Killian and the employment of psychiatric aides in the Land of 10,000 Lakes. It appears that the name Killian may hold more influence on mental health services than we previously thought. One might even say it has a "killer" impact on the psychiatric aide workforce.
Our findings open the door to a plethora of questions and implications for further research. What is it about the name Killian that may inspire more individuals to pursue careers in psychiatric aid in Minnesota? Is it a mere coincidence, or is there a deeper psychological phenomenon at play? As we unravel this enigma, we hope to pave the way for more lighthearted, yet thought-provoking, research in the intersection of nomenclature and workforce dynamics. After all, when it comes to the impact of names on career choices, one can't help but consider it a "name-calling" phenomenon.
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 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 Popularity of the first name Killian and The number of psychiatric aides in Minnesota. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
"Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota"
[[ABSTRACT]]
This study delves into the curious link between the popularity of the first name Killian and the number of psychiatric aides in the state of Minnesota. Utilizing data from the US Social Security Administration and the Bureau of Labor Statistics, we sought to answer the burning question: does the prevalence of the name Killian have any impact on the demand for psychiatric aides in Minnesota? We approached this question with curiosity and—dare I say—psychiatric zeal.
Our analysis uncovered a surprising correlation coefficient of 0.8399505 and a statistically significant p-value of less than 0.01 for the years 2003 to 2018. This correlation suggests a strong positive relationship between the popularity of the name Killian and the employment of psychiatric aides in the Land of 10,000 Lakes. It appears that the name Killian may hold more influence on mental health services than we previously thought. One might even say it has a "killer" impact on the psychiatric aide workforce.
Our findings open the door to a plethora of questions and implications for further research. What is it about the name Killian that may inspire more individuals to pursue careers in psychiatric aid in Minnesota? Is it a mere coincidence, or is there a deeper psychological phenomenon at play? As we unravel this enigma, we hope to pave the way for more lighthearted, yet thought-provoking, research in the intersection of nomenclature and workforce dynamics. After all, when it comes to the impact of names on career choices, one can't help but consider it a "name-calling" phenomenon.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The relationship between human names and societal phenomena has long intrigued researchers across various fields. From the classic, "What's in a name?" ponderings of Shakespeare to modern-day studies on the influence of names on careers and life outcomes, the power of appellations cannot be ignored. However, amidst this myriad of investigations, one peculiar link has remained relatively unexplored: the connection between the prevalence of the first name Killian and the employment of psychiatric aides in the state of Minnesota. Quite the "killer" mystery, wouldn't you say?
As we delve into the realm of this intriguing correlation, it becomes apparent that the confluence of nomenclature and mental health services may hold surprising implications. The quest to unravel this enigma led us to scrutinize extensive data sets from the US Social Security Administration and the Bureau of Labor Statistics, in a somewhat maniacal pursuit of the truth. After all, the intersection of names and workforce dynamics is no trivial matter—certainly not one to be treated with "patient" disregard.
Now, before we proceed, let's address the elephant in the room: how could a name possibly influence the demand for psychiatric aides? The very notion may seem as far-fetched as a researcher without their coffee, but our initial analyses uncovered a compelling correlation coefficient, causing our eyebrows to raise higher than the statistical significance threshold. While we tread cautiously along this line of inquiry, it's important to remember that correlations are not causations, and the "name game" may involve more complex factors than meets the eye.
Our study aims to shed light on the underlying factors that may contribute to this unexpected link, without getting tangled in a web of "name-calling" confusions. By unraveling this hidden connection, we hope to pave the way for a new wave of whimsical yet meaningful research, proving that even in the serious world of academia, there's always room for a punchline or two.
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 Popularity of the first name Killian and The number of psychiatric aides in Minnesota. 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]]
"Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota"
[[ABSTRACT]]
This study delves into the curious link between the popularity of the first name Killian and the number of psychiatric aides in the state of Minnesota. Utilizing data from the US Social Security Administration and the Bureau of Labor Statistics, we sought to answer the burning question: does the prevalence of the name Killian have any impact on the demand for psychiatric aides in Minnesota? We approached this question with curiosity and—dare I say—psychiatric zeal.
Our analysis uncovered a surprising correlation coefficient of 0.8399505 and a statistically significant p-value of less than 0.01 for the years 2003 to 2018. This correlation suggests a strong positive relationship between the popularity of the name Killian and the employment of psychiatric aides in the Land of 10,000 Lakes. It appears that the name Killian may hold more influence on mental health services than we previously thought. One might even say it has a "killer" impact on the psychiatric aide workforce.
Our findings open the door to a plethora of questions and implications for further research. What is it about the name Killian that may inspire more individuals to pursue careers in psychiatric aid in Minnesota? Is it a mere coincidence, or is there a deeper psychological phenomenon at play? As we unravel this enigma, we hope to pave the way for more lighthearted, yet thought-provoking, research in the intersection of nomenclature and workforce dynamics. After all, when it comes to the impact of names on career choices, one can't help but consider it a "name-calling" phenomenon.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between human names and societal phenomena has long intrigued researchers across various fields. From the classic, "What's in a name?" ponderings of Shakespeare to modern-day studies on the influence of names on careers and life outcomes, the power of appellations cannot be ignored. However, amidst this myriad of investigations, one peculiar link has remained relatively unexplored: the connection between the prevalence of the first name Killian and the employment of psychiatric aides in the state of Minnesota. Quite the "killer" mystery, wouldn't you say?
As we delve into the realm of this intriguing correlation, it becomes apparent that the confluence of nomenclature and mental health services may hold surprising implications. The quest to unravel this enigma led us to scrutinize extensive data sets from the US Social Security Administration and the Bureau of Labor Statistics, in a somewhat maniacal pursuit of the truth. After all, the intersection of names and workforce dynamics is no trivial matter—certainly not one to be treated with "patient" disregard.
Now, before we proceed, let's address the elephant in the room: how could a name possibly influence the demand for psychiatric aides? The very notion may seem as far-fetched as a researcher without their coffee, but our initial analyses uncovered a compelling correlation coefficient, causing our eyebrows to raise higher than the statistical significance threshold. While we tread cautiously along this line of inquiry, it's important to remember that correlations are not causations, and the "name game" may involve more complex factors than meets the eye.
Our study aims to shed light on the underlying factors that may contribute to this unexpected link, without getting tangled in a web of "name-calling" confusions. By unraveling this hidden connection, we hope to pave the way for a new wave of whimsical yet meaningful research, proving that even in the serious world of academia, there's always room for a punchline or two.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
Smith et al. (2015) published a comprehensive study on the influence of first names on career choices, examining data from various professions across the United States. While their analysis covered a wide array of names and occupations, the peculiar case of the name Killian was notably absent from their investigation, leaving a glaring gap in the literature. It seems they missed the "killer" punchline in their research.
Doe and Jones (2018) delved into the societal implications of names, analyzing data from diverse regions to uncover patterns in naming trends and their potential impact on local economies. Surprisingly, their study failed to mention the curious correlation between the popularity of the name Killian and the employment of psychiatric aides in Minnesota. One might say they missed the opportunity to "kill two birds with one stone" in their research.
In "The Name Effect" by Johnson (2017), the author explores the psychological and sociological impact of names across various aspects of life. While Johnson's work provides valuable insights into the power of names, they tragically overlooked the specific connection between the first name Killian and the demand for psychiatric aides in Minnesota. It seems that even the best researchers can miss the "killer" details at times.
Moving beyond non-fiction references, the fiction novel "The Name Conundrum" by A. Reader (2016) takes a whimsical dive into the fantastical world of names and their mysterious influences on human endeavors. While the plot may seem far-fetched, it is not entirely unrelated to our quest to unravel the enigmatic correlation between the name Killian and psychiatric aide employment. Sometimes, truth is indeed stranger than fiction—or in this case, perhaps "killer" than fiction.
The children's cartoon series "Name Adventures" may not seem like a conventional source for academic research, but its episodes on the quirky impacts of names on daily life provide a surprising parallel to our investigation. As we navigate the uncharted territory of the Killian-Psychiatric Aide linkage, one can't help but ponder the playful yet profound implications of such unlikely associations. Who knew that a name could hold the key to unraveling a "killer" mystery in the realm of workforce dynamics?
With a nod to these diverse sources, we pivot to our own groundbreaking research, aiming to shed light on the unexplored territory of nomenclature and its influence on the demand for psychiatric aides in Minnesota. After all, in the academic pursuit of knowledge and understanding, a good pun can be just as illuminating as a grand theory.
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 Popularity of the first name Killian and The number of psychiatric aides in Minnesota. 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 US Social Security Administration and Bureau of Larbor Statistics . You used data from 2003 to 2018
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]]
"Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota"
[[ABSTRACT]]
This study delves into the curious link between the popularity of the first name Killian and the number of psychiatric aides in the state of Minnesota. Utilizing data from the US Social Security Administration and the Bureau of Labor Statistics, we sought to answer the burning question: does the prevalence of the name Killian have any impact on the demand for psychiatric aides in Minnesota? We approached this question with curiosity and—dare I say—psychiatric zeal.
Our analysis uncovered a surprising correlation coefficient of 0.8399505 and a statistically significant p-value of less than 0.01 for the years 2003 to 2018. This correlation suggests a strong positive relationship between the popularity of the name Killian and the employment of psychiatric aides in the Land of 10,000 Lakes. It appears that the name Killian may hold more influence on mental health services than we previously thought. One might even say it has a "killer" impact on the psychiatric aide workforce.
Our findings open the door to a plethora of questions and implications for further research. What is it about the name Killian that may inspire more individuals to pursue careers in psychiatric aid in Minnesota? Is it a mere coincidence, or is there a deeper psychological phenomenon at play? As we unravel this enigma, we hope to pave the way for more lighthearted, yet thought-provoking, research in the intersection of nomenclature and workforce dynamics. After all, when it comes to the impact of names on career choices, one can't help but consider it a "name-calling" phenomenon.
[[INTRODUCTION]]
The relationship between human names and societal phenomena has long intrigued researchers across various fields. From the classic, "What's in a name?" ponderings of Shakespeare to modern-day studies on the influence of names on careers and life outcomes, the power of appellations cannot be ignored. However, amidst this myriad of investigations, one peculiar link has remained relatively unexplored: the connection between the prevalence of the first name Killian and the employment of psychiatric aides in the state of Minnesota. Quite the "killer" mystery, wouldn't you say?
As we delve into the realm of this intriguing correlation, it becomes apparent that the confluence of nomenclature and mental health services may hold surprising implications. The quest to unravel this enigma led us to scrutinize extensive data sets from the US Social Security Administration and the Bureau of Labor Statistics, in a somewhat maniacal pursuit of the truth. After all, the intersection of names and workforce dynamics is no trivial matter—certainly not one to be treated with "patient" disregard.
Now, before we proceed, let's address the elephant in the room: how could a name possibly influence the demand for psychiatric aides? The very notion may seem as far-fetched as a researcher without their coffee, but our initial analyses uncovered a compelling correlation coefficient, causing our eyebrows to raise higher than the statistical significance threshold. While we tread cautiously along this line of inquiry, it's important to remember that correlations are not causations, and the "name game" may involve more complex factors than meets the eye.
Our study aims to shed light on the underlying factors that may contribute to this unexpected link, without getting tangled in a web of "name-calling" confusions. By unraveling this hidden connection, we hope to pave the way for a new wave of whimsical yet meaningful research, proving that even in the serious world of academia, there's always room for a punchline or two.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To uncover the mysterious connection between the popularity of the first name Killian and the number of psychiatric aides in Minnesota, our research team embarked on a quest that was equal parts Sherlock Holmes and Dr. Phil. We gathered data spanning the years 2003 to 2018, primarily from the US Social Security Administration and the Bureau of Labor Statistics, with a dash of internet sleuthing (and maybe a sprinkle of luck) thrown in for good measure. The data collection process had us feeling like intrepid explorers searching for the hidden treasure in the vast treasure trove of statistical information, and let me tell you, it was no walk in the park—more like a statistical scavenger hunt.
We began by extracting the number of individuals with the first name Killian from the US Social Security Administration's records. It was like diving headfirst into a sea of names and hoping to catch the big fish—yet in this case, the big fish was a statistically significant correlation. We then obtained the employment figures for psychiatric aides in Minnesota from the Bureau of Labor Statistics, carefully sifting through the data like treasure hunters separating fool's gold from the real deal. We couldn't help but feel a bit like data detectives, piecing together a puzzle that promised to reveal the hidden secrets of nomenclature and workforce trends.
With our datasets securely in hand, we employed the tried-and-true method of statistical analysis to unveil any patterns that might be lurking beneath the surface. Our trusty friend, the Pearson correlation coefficient, was summoned to the task, ready to wrangle the numbers and reveal any significant relationships. As we delved into the depths of correlation, we couldn't help but imagine our data as characters in a suspense novel, each one holding a clue that could lead us closer to the truth. The anticipation was palpable, and the tension in the air was so thick you could cut it with a significance level of 0.05.
We conducted a series of robust statistical tests to determine the strength and direction of the relationship between the popularity of the name Killian and the employment of psychiatric aides in Minnesota. Our analysis was as rigorous as a marathon runner's training regimen, with each step taken methodically and each calculation double-checked more times than a math teacher's answer key. The process was a delicate dance of formulas and numbers, and just like any dance, there were bound to be a few missteps along the way. But we pressed on, our determination unwavering, fueled by the thrill of discovery and the promise of uncovering something truly remarkable.
As we sifted through the data, our excitement grew with each passing moment. The numbers began to take on a life of their own, forming intricate patterns as though they were weaving a statistical tapestry of epic proportions. Every digit held the potential to unlock the mysteries we sought to unravel, and for a brief moment, we could almost hear the data whispering secrets to us—though it might have just been the sound of a nearby air conditioning unit. But who's to say that the statistical world isn't filled with its own form of whispers and untold stories waiting to be uncovered?
Stay tuned for our next installment of puns and correlations. It's going to be a "killer" sequel!
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 Popularity of the first name Killian and The number of psychiatric aides in Minnesota. 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 US Social Security Administration and Bureau of Larbor Statistics .
For the time period 2003 to 2018, you found a correlation 0.8399505, r-squared of 0.7055169, 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]]
"Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota"
[[ABSTRACT]]
This study delves into the curious link between the popularity of the first name Killian and the number of psychiatric aides in the state of Minnesota. Utilizing data from the US Social Security Administration and the Bureau of Labor Statistics, we sought to answer the burning question: does the prevalence of the name Killian have any impact on the demand for psychiatric aides in Minnesota? We approached this question with curiosity and—dare I say—psychiatric zeal.
Our analysis uncovered a surprising correlation coefficient of 0.8399505 and a statistically significant p-value of less than 0.01 for the years 2003 to 2018. This correlation suggests a strong positive relationship between the popularity of the name Killian and the employment of psychiatric aides in the Land of 10,000 Lakes. It appears that the name Killian may hold more influence on mental health services than we previously thought. One might even say it has a "killer" impact on the psychiatric aide workforce.
Our findings open the door to a plethora of questions and implications for further research. What is it about the name Killian that may inspire more individuals to pursue careers in psychiatric aid in Minnesota? Is it a mere coincidence, or is there a deeper psychological phenomenon at play? As we unravel this enigma, we hope to pave the way for more lighthearted, yet thought-provoking, research in the intersection of nomenclature and workforce dynamics. After all, when it comes to the impact of names on career choices, one can't help but consider it a "name-calling" phenomenon.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between human names and societal phenomena has long intrigued researchers across various fields. From the classic, "What's in a name?" ponderings of Shakespeare to modern-day studies on the influence of names on careers and life outcomes, the power of appellations cannot be ignored. However, amidst this myriad of investigations, one peculiar link has remained relatively unexplored: the connection between the prevalence of the first name Killian and the employment of psychiatric aides in the state of Minnesota. Quite the "killer" mystery, wouldn't you say?
As we delve into the realm of this intriguing correlation, it becomes apparent that the confluence of nomenclature and mental health services may hold surprising implications. The quest to unravel this enigma led us to scrutinize extensive data sets from the US Social Security Administration and the Bureau of Labor Statistics, in a somewhat maniacal pursuit of the truth. After all, the intersection of names and workforce dynamics is no trivial matter—certainly not one to be treated with "patient" disregard.
Now, before we proceed, let's address the elephant in the room: how could a name possibly influence the demand for psychiatric aides? The very notion may seem as far-fetched as a researcher without their coffee, but our initial analyses uncovered a compelling correlation coefficient, causing our eyebrows to raise higher than the statistical significance threshold. While we tread cautiously along this line of inquiry, it's important to remember that correlations are not causations, and the "name game" may involve more complex factors than meets the eye.
Our study aims to shed light on the underlying factors that may contribute to this unexpected link, without getting tangled in a web of "name-calling" confusions. By unraveling this hidden connection, we hope to pave the way for a new wave of whimsical yet meaningful research, proving that even in the serious world of academia, there's always room for a punchline or two.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
During the study period of 2003 to 2018, we discovered a strong positive correlation of 0.8399505 between the popularity of the first name Killian and the number of psychiatric aides employed in Minnesota. This correlation coefficient had us feeling like we hit the jackpot in a game of "name that correlation."
The r-squared value of 0.7055169 indicated that the prevalence of the name Killian can explain approximately 70.55% of the variation in the employment of psychiatric aides in Minnesota. It's safe to say that the name Killian carries some weight in the mental health sector – and not just because it's a hefty moniker.
Our analysis also revealed a statistically significant p-value of less than 0.01, indicating that the observed correlation is unlikely to be a mere fluke. It's as clear as day that the popularity of the name Killian and the number of psychiatric aides in Minnesota go together like peanut butter and jelly, or should we say, like Killian and psychiatric aid.
Fig. 1, as expected, showcases the unmistakably strong correlation between the two variables. It's a match so striking, it makes one wonder if we've stumbled upon the secret ingredient for a flourishing psychiatric aid workforce.
But let's not jump to conclusions just yet. Correlation is not causation, and we must approach this discovery with caution, avoiding the temptation to jump to wild theories about the name Killian's hypnotic effect on career choices. After all, we wouldn't want to start a game of "name-calling" based on shaky causative assumptions.
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 Popularity of the first name Killian and The number of psychiatric aides in Minnesota. 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]]
"Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota"
[[ABSTRACT]]
This study delves into the curious link between the popularity of the first name Killian and the number of psychiatric aides in the state of Minnesota. Utilizing data from the US Social Security Administration and the Bureau of Labor Statistics, we sought to answer the burning question: does the prevalence of the name Killian have any impact on the demand for psychiatric aides in Minnesota? We approached this question with curiosity and—dare I say—psychiatric zeal.
Our analysis uncovered a surprising correlation coefficient of 0.8399505 and a statistically significant p-value of less than 0.01 for the years 2003 to 2018. This correlation suggests a strong positive relationship between the popularity of the name Killian and the employment of psychiatric aides in the Land of 10,000 Lakes. It appears that the name Killian may hold more influence on mental health services than we previously thought. One might even say it has a "killer" impact on the psychiatric aide workforce.
Our findings open the door to a plethora of questions and implications for further research. What is it about the name Killian that may inspire more individuals to pursue careers in psychiatric aid in Minnesota? Is it a mere coincidence, or is there a deeper psychological phenomenon at play? As we unravel this enigma, we hope to pave the way for more lighthearted, yet thought-provoking, research in the intersection of nomenclature and workforce dynamics. After all, when it comes to the impact of names on career choices, one can't help but consider it a "name-calling" phenomenon.
[[LITERATURE REVIEW]]
Smith et al. (2015) published a comprehensive study on the influence of first names on career choices, examining data from various professions across the United States. While their analysis covered a wide array of names and occupations, the peculiar case of the name Killian was notably absent from their investigation, leaving a glaring gap in the literature. It seems they missed the "killer" punchline in their research.
Doe and Jones (2018) delved into the societal implications of names, analyzing data from diverse regions to uncover patterns in naming trends and their potential impact on local economies. Surprisingly, their study failed to mention the curious correlation between the popularity of the name Killian and the employment of psychiatric aides in Minnesota. One might say they missed the opportunity to "kill two birds with one stone" in their research.
In "The Name Effect" by Johnson (2017), the author explores the psychological and sociological impact of names across various aspects of life. While Johnson's work provides valuable insights into the power of names, they tragically overlooked the specific connection between the first name Killian and the demand for psychiatric aides in Minnesota. It seems that even the best researchers can miss the "killer" details at times.
Moving beyond non-fiction references, the fiction novel "The Name Conundrum" by A. Reader (2016) takes a whimsical dive into the fantastical world of names and their mysterious influences on human endeavors. While the plot may seem far-fetched, it is not entirely unrelated to our quest to unravel the enigmatic correlation between the name Killian and psychiatric aide employment. Sometimes, truth is indeed stranger than fiction—or in this case, perhaps "killer" than fiction.
The children's cartoon series "Name Adventures" may not seem like a conventional source for academic research, but its episodes on the quirky impacts of names on daily life provide a surprising parallel to our investigation. As we navigate the uncharted territory of the Killian-Psychiatric Aide linkage, one can't help but ponder the playful yet profound implications of such unlikely associations. Who knew that a name could hold the key to unraveling a "killer" mystery in the realm of workforce dynamics?
With a nod to these diverse sources, we pivot to our own groundbreaking research, aiming to shed light on the unexplored territory of nomenclature and its influence on the demand for psychiatric aides in Minnesota. After all, in the academic pursuit of knowledge and understanding, a good pun can be just as illuminating as a grand theory.
[[RESULTS]]
During the study period of 2003 to 2018, we discovered a strong positive correlation of 0.8399505 between the popularity of the first name Killian and the number of psychiatric aides employed in Minnesota. This correlation coefficient had us feeling like we hit the jackpot in a game of "name that correlation."
The r-squared value of 0.7055169 indicated that the prevalence of the name Killian can explain approximately 70.55% of the variation in the employment of psychiatric aides in Minnesota. It's safe to say that the name Killian carries some weight in the mental health sector – and not just because it's a hefty moniker.
Our analysis also revealed a statistically significant p-value of less than 0.01, indicating that the observed correlation is unlikely to be a mere fluke. It's as clear as day that the popularity of the name Killian and the number of psychiatric aides in Minnesota go together like peanut butter and jelly, or should we say, like Killian and psychiatric aid.
Fig. 1, as expected, showcases the unmistakably strong correlation between the two variables. It's a match so striking, it makes one wonder if we've stumbled upon the secret ingredient for a flourishing psychiatric aid workforce.
But let's not jump to conclusions just yet. Correlation is not causation, and we must approach this discovery with caution, avoiding the temptation to jump to wild theories about the name Killian's hypnotic effect on career choices. After all, we wouldn't want to start a game of "name-calling" based on shaky causative assumptions.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our findings reveal a remarkably robust correlation between the popularity of the first name Killian and the number of psychiatric aides employed in Minnesota, bolstering the existing literature on the influence of names on career choices. The correlation coefficient of 0.8399505 echoes the work of Smith et al. (2015) and Doe and Jones (2018) in illustrating the potent impact of nomenclature on workforce dynamics. It seems that the name Killian holds more sway in shaping career paths than previously perceived, proving that when it comes to names and their influence, there's a lot "a-name" can do.
The literature has often overlooked the potential far-reaching effects of specific names on professional pursuits, but our study demonstrates that the name Killian is no mere "killer" coincidence in the recruitment of psychiatric aides. With an r-squared value of 0.7055169, our results indicate that the popularity of the name Killian could account for over 70% of the variance in psychiatric aide employment in Minnesota. One might say that when it comes to the workforce, the name Killian truly "kills it" in making a mark.
The statistically significant p-value of less than 0.01 further solidifies our findings, dismissing any doubts about the legitimacy of the observed correlation. This robust p-value reinforces the idea that the link between the name Killian and the psychiatric aide workforce in Minnesota is not a mere statistical fluke. So, it seems that the impact of the name Killian on psychiatric aid employment is not just a "name-dropping" affair.
Fig. 1 serves as a visual testimony to the striking relationship between the first name Killian and the number of psychiatric aides in Minnesota, affirming that this correlation is not one to be taken lightly. Our results convey a resounding message: the name Killian seems to be more than a nominal choice; it may hold the key to an unexpectedly influential factor in shaping career trajectories in the mental health sector. It's a revelation that might just make one exclaim, "Oh, 'name' it all adds up now!"
In light of our compelling findings, we must approach future research with careful consideration, avoiding the allure of hasty causal inferences. While the correlation stands out like a "killer" punchline, we must refrain from hastily attributing causal relationships between the name Killian and psychiatric aide employment. The realm of causation demands a cautious approach, and we must resist the temptation to make wild assumptions about the name's mystical influence on career choices. After all, we wouldn't want to give in to the "name-calling" of drawing conclusions based on unsubstantiated causative claims.
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 Popularity of the first name Killian and The number of psychiatric aides in Minnesota. 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]]
"Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota"
[[ABSTRACT]]
This study delves into the curious link between the popularity of the first name Killian and the number of psychiatric aides in the state of Minnesota. Utilizing data from the US Social Security Administration and the Bureau of Labor Statistics, we sought to answer the burning question: does the prevalence of the name Killian have any impact on the demand for psychiatric aides in Minnesota? We approached this question with curiosity and—dare I say—psychiatric zeal.
Our analysis uncovered a surprising correlation coefficient of 0.8399505 and a statistically significant p-value of less than 0.01 for the years 2003 to 2018. This correlation suggests a strong positive relationship between the popularity of the name Killian and the employment of psychiatric aides in the Land of 10,000 Lakes. It appears that the name Killian may hold more influence on mental health services than we previously thought. One might even say it has a "killer" impact on the psychiatric aide workforce.
Our findings open the door to a plethora of questions and implications for further research. What is it about the name Killian that may inspire more individuals to pursue careers in psychiatric aid in Minnesota? Is it a mere coincidence, or is there a deeper psychological phenomenon at play? As we unravel this enigma, we hope to pave the way for more lighthearted, yet thought-provoking, research in the intersection of nomenclature and workforce dynamics. After all, when it comes to the impact of names on career choices, one can't help but consider it a "name-calling" phenomenon.
[[INTRDUCTION]]
The relationship between human names and societal phenomena has long intrigued researchers across various fields. From the classic, "What's in a name?" ponderings of Shakespeare to modern-day studies on the influence of names on careers and life outcomes, the power of appellations cannot be ignored. However, amidst this myriad of investigations, one peculiar link has remained relatively unexplored: the connection between the prevalence of the first name Killian and the employment of psychiatric aides in the state of Minnesota. Quite the "killer" mystery, wouldn't you say?
As we delve into the realm of this intriguing correlation, it becomes apparent that the confluence of nomenclature and mental health services may hold surprising implications. The quest to unravel this enigma led us to scrutinize extensive data sets from the US Social Security Administration and the Bureau of Labor Statistics, in a somewhat maniacal pursuit of the truth. After all, the intersection of names and workforce dynamics is no trivial matter—certainly not one to be treated with "patient" disregard.
Now, before we proceed, let's address the elephant in the room: how could a name possibly influence the demand for psychiatric aides? The very notion may seem as far-fetched as a researcher without their coffee, but our initial analyses uncovered a compelling correlation coefficient, causing our eyebrows to raise higher than the statistical significance threshold. While we tread cautiously along this line of inquiry, it's important to remember that correlations are not causations, and the "name game" may involve more complex factors than meets the eye.
Our study aims to shed light on the underlying factors that may contribute to this unexpected link, without getting tangled in a web of "name-calling" confusions. By unraveling this hidden connection, we hope to pave the way for a new wave of whimsical yet meaningful research, proving that even in the serious world of academia, there's always room for a punchline or two.
[[RESULTS]]
During the study period of 2003 to 2018, we discovered a strong positive correlation of 0.8399505 between the popularity of the first name Killian and the number of psychiatric aides employed in Minnesota. This correlation coefficient had us feeling like we hit the jackpot in a game of "name that correlation."
The r-squared value of 0.7055169 indicated that the prevalence of the name Killian can explain approximately 70.55% of the variation in the employment of psychiatric aides in Minnesota. It's safe to say that the name Killian carries some weight in the mental health sector – and not just because it's a hefty moniker.
Our analysis also revealed a statistically significant p-value of less than 0.01, indicating that the observed correlation is unlikely to be a mere fluke. It's as clear as day that the popularity of the name Killian and the number of psychiatric aides in Minnesota go together like peanut butter and jelly, or should we say, like Killian and psychiatric aid.
Fig. 1, as expected, showcases the unmistakably strong correlation between the two variables. It's a match so striking, it makes one wonder if we've stumbled upon the secret ingredient for a flourishing psychiatric aid workforce.
But let's not jump to conclusions just yet. Correlation is not causation, and we must approach this discovery with caution, avoiding the temptation to jump to wild theories about the name Killian's hypnotic effect on career choices. After all, we wouldn't want to start a game of "name-calling" based on shaky causative assumptions.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our "killer" study has unveiled a compelling connection between the prevalence of the first name Killian and the employment of psychiatric aides in Minnesota. It seems that the name Killian holds more sway than a hypnotist at a county fair. Our findings suggest that the impact of a name goes beyond mere semantics; it can influence career choices in ways that leave us scratching our heads, just like a good old "dad joke."
This correlation is as clear as a sunny day in Minnesota – and let's not forget, the Land of 10,000 Lakes could use some "psychiatric aid," figuratively and literally speaking! Our results indicate that the name Killian can explain approximately 70.55% of the variation in the employment of psychiatric aides in Minnesota. I guess you could say that Killian brings a lot to the table, or in this case, to the therapist's chair.
Now, we must resist the temptation to jump to wild theories about the name Killian's mesmerizing effect on career choices. We wouldn't want to start a game of "name-calling" based on shaky causative assumptions. It's important to maintain a level head in the world of research – though, with a name like Killian, it's hard to resist the urge to "pull a few strings." But let's not forget, correlation is not causation, and we must approach this discovery with the scrutiny of a hawk-eyed statistician.
In light of these findings, it seems like we've hit the "psychiatric jackpot" with this peculiar correlation. The name Killian may not just be a name, but an influential force shaping the mental health workforce in Minnesota. The implications are as intriguing as a good mystery novel – and just as thought-provoking.
In closing, our study paves the way for a new wave of whimsical yet meaningful research, because even in the serious world of academia, there's always room for a punchline or two. However, it's safe to conclude that no more research is needed in this area for now. We've most certainly "killed" it with this one!
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 Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Quirky Psychiatric Phenomena
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 Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Whimsical Sociolinguistic Studies
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota with an abstract of This study delves into the curious link between the popularity of the first name Killian and the number of psychiatric aides in the state of Minnesota. Utilizing data from the US Social Security Administration and the Bureau of Labor Statistics, we sought to answer the burning question: does the prevalence of the name Killian have any impact on the demand for psychiatric aides in Minnesota? We approached this question with curiosity and—dare I say—psychiatric zeal.
Our analysis uncovered a surprising correlation coefficient of 0.8399505 and a statistically significant p-value of less than 0.01 for the years 2003 to 2018. This correlation suggests a strong positive relationship between the popularity of the name Killian and the employment of psychiatric aides in the Land of 10,000 Lakes. It appears that the name Killian may hold more influence on mental health services than we previously thought. One might even say it has a "killer" impact on the psychiatric aide workforce.
Our findings open the door to a plethora of questions and implications for further research. What is it about the name Killian that may inspire more individuals to pursue careers in psychiatric aid in Minnesota? Is it a mere coincidence, or is there a deeper psychological phenomenon at play? As we unravel this enigma, we hope to pave the way for more lighthearted, yet thought-provoking, research in the intersection of nomenclature and workforce dynamics. After all, when it comes to the impact of names on career choices, one can't help but consider it a "name-calling" phenomenon.
ChatGPT:
name popularity, psychiatric aides, Minnesota, Killian, correlation, first name, US Social Security Administration, Bureau of Labor Statistics, demand, employment, mental health services, workforce dynamics, career choices
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
View all correlations
View all research papers
Report an error
Data details
Popularity of the first name KillianDetailed data title: Babies of all sexes born in the US named Killian
Source: US Social Security Administration
See what else correlates with Popularity of the first name Killian
The number of psychiatric aides in Minnesota
Detailed data title: BLS estimate of psychiatric aides in Minnesota
Source: Bureau of Larbor Statistics
See what else correlates with The number of psychiatric aides in Minnesota
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 = 0.7055169 (Coefficient of determination)
This means 70.6% of the change in the one variable (i.e., The number of psychiatric aides in Minnesota) is predictable based on the change in the other (i.e., Popularity of the first name Killian) over the 16 years from 2003 through 2018.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.7E-5. 0.0000467250693278562240000000
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 0.84 in 0.0047% of random cases. Said differently, if you correlated 21,402 random variables You don't actually need 21 thousand variables to find a correlation like this one. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 15 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 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.
[ 0.59, 0.94 ] 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.
2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | |
Popularity of the first name Killian (Babies born) | 128 | 166 | 172 | 187 | 269 | 290 | 323 | 309 | 316 | 280 | 310 | 560 | 1001 | 1400 | 1524 | 1249 |
The number of psychiatric aides in Minnesota (Psychiatric Aides) | 150 | 150 | 210 | 140 | 430 | 380 | 390 | 190 | 180 | 190 | 510 | 480 | 900 | 840 | 900 | 430 |
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
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
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([128,166,172,187,269,290,323,309,316,280,310,560,1001,1400,1524,1249,])
array_2 = np.array([150,150,210,140,430,380,390,190,180,190,510,480,900,840,900,430,])
array_1_name = "Popularity of the first name Killian"
array_2_name = "The number of psychiatric aides in Minnesota"
# 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. 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
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 Popularity of the first name Killian
- Line chart for only The number of psychiatric aides in Minnesota
- AI-generated correlation image
- The spurious research paper: Killian It in the Name: The Curious Link Between Name Popularity and Psychiatric Aides in Minnesota
Your correlation inspection deserves a standing ovation!
Correlation ID: 2132 · Black Variable ID: 3936 · Red Variable ID: 9982