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Spurious correlation #1,578 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Meranda and the second variable is Automotive recalls issued by General Motors.  The chart goes from 1975 to 2013, and the two variables track closely in value over that time. Small Image
Download png
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AI explanation

It's simple: as the name Meranda gained popularity, it created a ripple effect of the phrase "Meranda lot of cars" being used. This subconsciously reminded people of the need to maintain their vehicles, leading to a higher demand for car safety, which in turn prompted General Motors to issue more recalls to ensure their vehicles were up to standard. It's a case of 'Miranda'ing the importance of automotive safety!

Model: dalle-3
Prompt: Generate a black-and-white newspaper-style illustration of a bustling city street with a prominent "Meranda" brand billboard and a General Motors logo billboard with a red "Recall Notice" banner. Populate the street with diverse pedestrian activity and an assortment of parked cars, including distinctively recognizable GM vehicles. Emphasize the dynamic energy of the cityscape while maintaining clear, sharp details within the monochromatic tonal range. 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 Meranda and Automotive recalls issued by General Motors. 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: Art nouveau Realistic A black-and-white newspaper illustration Concept art Glitch art
ChatGPT: A black-and-white newspaper illustration

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 Meranda and Automotive recalls issued by General Motors together. Keep the description simple.
ChatGPT: A crowded city street with billboards and people walking around. One billboard shows the name "Meranda" in bold, popular lettering while another billboard displays the General Motors logo with a red "Recall Notice" banner across it. In the background, an array of cars, including GM vehicles, are parked along the street.

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: [ A black-and-white newspaper illustration ] and depicting this scene: A crowded city street with billboards and people walking around. One billboard shows the name "Meranda" in bold, popular lettering while another billboard displays the General Motors logo with a red "Recall Notice" banner across it. In the background, an array of cars, including GM vehicles, are parked along the street. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a black-and-white newspaper-style illustration of a bustling city street with a prominent "Meranda" brand billboard and a General Motors logo billboard with a red "Recall Notice" banner. Populate the street with diverse pedestrian activity and an assortment of parked cars, including distinctively recognizable GM vehicles. Emphasize the dynamic energy of the cityscape while maintaining clear, sharp details within the monochromatic tonal range.

*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 increases in Popularity of the first name Meranda positively influenced Automotive recalls issued by General Motors. Include one good pun.

AI academic paper

(Because p < 0.01)
Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions

The Journal of Quirky Quandaries

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 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 Meranda and Automotive recalls issued by General Motors. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title an alliteration.

Your research team used data from US Social Security Administration and US DOT to assess this nagging question. You found a correlation coefficient of 0.5767412 and p < 0.01 for 1975 to 2013.

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]]
Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions

[[ABSTRACT]]
In this scholarly romp, we delve into the delightful domain of given names and automotive mishaps. Our study seeks to unravel the quirky correlation between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the esteemed General Motors. Surely, this investigation is not "auto"-matic, but rather a lighthearted exploration into the world of data analysis and name-related banter.

Our rambunctious research team has tapped into the databases of the US Social Security Administration and the US Department of Transportation to dissect this tantalizing question: Does the prominence of "Meranda" as a first name coincide with a surge in automotive recalls? Our findings reveal a correlation coefficient of 0.5767412 and p < 0.01 for the years 1975 to 2013. It seems that "Meranda" has been revving up more than just her engine as she zooms into the limelight.

While we must exercise caution in attributing causation to correlation, this study provides an electrifying glimpse into the charmingly capricious world of statistical analysis and the whimsical interplay between nomenclature and product malfunctions. As Mark Twain once quipped, "The difference between the right word and the almost right word is the difference between lightning and a lightning bug." Or, in our case, between a car recall and a car "Re-Meranda-l."

Stay tuned as we continue to unravel the curious conundrums of name dynamics and societal phenomena, because in the world of research, there's always room for a little "Meranda-culous" mischief.


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 Meranda and Automotive recalls issued by General Motors. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Here is the title and abstract of the paper:
[[TITLE]]
Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions

[[ABSTRACT]]
In this scholarly romp, we delve into the delightful domain of given names and automotive mishaps. Our study seeks to unravel the quirky correlation between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the esteemed General Motors. Surely, this investigation is not "auto"-matic, but rather a lighthearted exploration into the world of data analysis and name-related banter.

Our rambunctious research team has tapped into the databases of the US Social Security Administration and the US Department of Transportation to dissect this tantalizing question: Does the prominence of "Meranda" as a first name coincide with a surge in automotive recalls? Our findings reveal a correlation coefficient of 0.5767412 and p < 0.01 for the years 1975 to 2013. It seems that "Meranda" has been revving up more than just her engine as she zooms into the limelight.

While we must exercise caution in attributing causation to correlation, this study provides an electrifying glimpse into the charmingly capricious world of statistical analysis and the whimsical interplay between nomenclature and product malfunctions. As Mark Twain once quipped, "The difference between the right word and the almost right word is the difference between lightning and a lightning bug." Or, in our case, between a car recall and a car "Re-Meranda-l."

Stay tuned as we continue to unravel the curious conundrums of name dynamics and societal phenomena, because in the world of research, there's always room for a little "Meranda-culous" mischief.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Gather 'round, dear readers, as we embark on a whimsical journey through the correlation between nomenclature and automotive mayhem. Our scholarly pursuit rests on the premise that a name can hold more power than we ever "auto"-matically assumed. With a statistical wink and a data-driven nod, we aim to shed light on the enigmatic link between the popularity of the moniker "Meranda" and the frequency of recalls hurled onto the asphalt by the titans of General Motors.

As we delve into this "wheel"-y exciting topic, it's worth recalling the wise words of dear old Dad: "What's in a name? A lot, if you're trying to avoid a vehicular recall!" Ah, the classics.

The impetus for our investigation springs from the peculiar yet tantalizing possibility that certain names may bear an inadvertent influence on the quality and performance of automobiles. Just as Romeo and Juliet's "star-crossed" love ended in tragedy, could the rise of "Meranda" herald an unwelcome spate of automotive tribulations? It seems the Bard's words continue to resonate in the most unexpected avenues.

To ferret out the truth behind this name-game, we have meticulously combed through the archives of the US Social Security Administration and the US Department of Transportation. Our quest? To discern whether the frequency of "Meranda"s correlates with a concomitant surge in General Motors' automotive bloopers. It's a "midnight rendezvous" between data sets that promises to unveil the peculiar dance of names and engineering mishaps.

But before we embark on this "Meranda-voyage," we must equip ourselves with the knowledge that correlation does not entail causation. As any seasoned researcher knows, one must tread cautiously through the statistical "name-scape," lest we get lost in the quagmire of spurious relationships. In the lexicon of research, mistaking correlation for causation is akin to mistaking a tire for a "re-tire-ment" plan—potentially hazardous.

With bated breath and a touch of statistical whimsy, let us unearth the curious confections of "Meranda" and General Motors recalls, for in the annals of academia, there is always room for a little "Meranda-culous" mischief.


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 Meranda and Automotive recalls issued by General Motors. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions

[[ABSTRACT]]
In this scholarly romp, we delve into the delightful domain of given names and automotive mishaps. Our study seeks to unravel the quirky correlation between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the esteemed General Motors. Surely, this investigation is not "auto"-matic, but rather a lighthearted exploration into the world of data analysis and name-related banter.

Our rambunctious research team has tapped into the databases of the US Social Security Administration and the US Department of Transportation to dissect this tantalizing question: Does the prominence of "Meranda" as a first name coincide with a surge in automotive recalls? Our findings reveal a correlation coefficient of 0.5767412 and p < 0.01 for the years 1975 to 2013. It seems that "Meranda" has been revving up more than just her engine as she zooms into the limelight.

While we must exercise caution in attributing causation to correlation, this study provides an electrifying glimpse into the charmingly capricious world of statistical analysis and the whimsical interplay between nomenclature and product malfunctions. As Mark Twain once quipped, "The difference between the right word and the almost right word is the difference between lightning and a lightning bug." Or, in our case, between a car recall and a car "Re-Meranda-l."

Stay tuned as we continue to unravel the curious conundrums of name dynamics and societal phenomena, because in the world of research, there's always room for a little "Meranda-culous" mischief.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Gather 'round, dear readers, as we embark on a whimsical journey through the correlation between nomenclature and automotive mayhem. Our scholarly pursuit rests on the premise that a name can hold more power than we ever "auto"-matically assumed. With a statistical wink and a data-driven nod, we aim to shed light on the enigmatic link between the popularity of the moniker "Meranda" and the frequency of recalls hurled onto the asphalt by the titans of General Motors.
As we delve into this "wheel"-y exciting topic, it's worth recalling the wise words of dear old Dad: "What's in a name? A lot, if you're trying to avoid a vehicular recall!" Ah, the classics.
The impetus for our investigation springs from the peculiar yet tantalizing possibility that certain names may bear an inadvertent influence on the quality and performance of automobiles. Just as Romeo and Juliet's "star-crossed" love ended in tragedy, could the rise of "Meranda" herald an unwelcome spate of automotive tribulations? It seems the Bard's words continue to resonate in the most unexpected avenues.
To ferret out the truth behind this name-game, we have meticulously combed through the archives of the US Social Security Administration and the US Department of Transportation. Our quest? To discern whether the frequency of "Meranda"s correlates with a concomitant surge in General Motors' automotive bloopers. It's a "midnight rendezvous" between data sets that promises to unveil the peculiar dance of names and engineering mishaps.
But before we embark on this "Meranda-voyage," we must equip ourselves with the knowledge that correlation does not entail causation. As any seasoned researcher knows, one must tread cautiously through the statistical "name-scape," lest we get lost in the quagmire of spurious relationships. In the lexicon of research, mistaking correlation for causation is akin to mistaking a tire for a "re-tire-ment" plan—potentially hazardous.
With bated breath and a touch of statistical whimsy, let us unearth the curious confections of "Meranda" and General Motors recalls, for in the annals of academia, there is always room for a little "Meranda-culous" mischief.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In their seminal work, Smith et al. (2010) conducted a thorough investigation into the sociocultural influences on given names and their potential impact on various facets of life. Despite not specifically examining automotive recalls, their work sheds light on the intricate interplay between nomenclature and societal phenomena. This study serves as a sturdy chassis upon which we build our exploration of the curious correlation between "Meranda" and General Motors' vehicular tribulations.

Doe and Jones (2015) extended this line of inquiry by delving into the psychological implications of name popularity and its ramifications on individual behavior. While their research does not directly tackle the realm of automotive recalls, it tantalizingly hints at the overarching influence of names on diverse aspects of human experience. Just as a well-chosen name can rev up a sense of confidence, could it also rev up a surge in automotive recalls? It's a "wheel"-y intriguing prospect.

In "The Name Effect" by Lillian Glass, the author unveils the subtle but influential power of names in shaping perceptions and behaviors. While Glass's work does not explicitly touch upon automotive recalls, the underlying premise provokes contemplation: Could the prominence of a name such as "Meranda" instigate a ripple effect, causing ripples not just in social circles, but also in the automotive industry? As the saying goes, a rose by any other name might smell as sweet, but does "Meranda" by any other name result in the same number of recalled vehicles?

Turning to the realm of fiction, Mitch Albom's "The Five People You Meet in Heaven" leads us on a poignant journey, exploring the intricate connections that shape individual destinies. While not directly related to automotive recalls or given names, this literary gem reminds us of the multifaceted tapestry of human experiences. Just as every name weaves its own story, perhaps "Meranda" holds a narrative that intertwined with the automotive mishaps of General Motors in unforeseen ways.

Meanwhile, in the realm of cinema, "Ferris Bueller's Day Off" takes us on a joyride through the misadventures of high school student Ferris Bueller. As we witness the escapades of Ferris and his friends, we are reminded that even the most seemingly innocent joyrides can lead to unforeseen mishaps. Much like the titular character's exploits, the rise of "Meranda" in popularity may have coincided with a series of unexpected "auto"-matic trials for General Motors.

In their examination of the quirks and quibbles of the English language, Monty Python's "The Flying Circus" offers a whimsical perspective on the intricacies of communication. While not directly exploring the correlation between names and automotive recalls, the irreverent wit of the Python troupe underscores the whimsical nature of language and societal interactions. After all, in the world of research, there's always room for a little "Meranda-culous" mischief.

As we navigate through this eclectic array of literature and media, we are reminded of the rich tapestry of influences that shape our perceptions and experiences. From the sobering insights of academic research to the flights of fancy found in fiction and film, it's "highway" time we unveil the peculiar correlations between "Meranda" and General Motors recalls with a dash of statistical whimsy and a hint of name-related banter. Let's rev up our engines and embark on this "voyage of the moniker," for in the annals of academia, there's always room for a little "Meranda-culous" mischief.


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 Meranda and Automotive recalls issued by General Motors. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and US DOT . You used data from 1975 to 2013

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]]
Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions

[[ABSTRACT]]
In this scholarly romp, we delve into the delightful domain of given names and automotive mishaps. Our study seeks to unravel the quirky correlation between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the esteemed General Motors. Surely, this investigation is not "auto"-matic, but rather a lighthearted exploration into the world of data analysis and name-related banter.

Our rambunctious research team has tapped into the databases of the US Social Security Administration and the US Department of Transportation to dissect this tantalizing question: Does the prominence of "Meranda" as a first name coincide with a surge in automotive recalls? Our findings reveal a correlation coefficient of 0.5767412 and p < 0.01 for the years 1975 to 2013. It seems that "Meranda" has been revving up more than just her engine as she zooms into the limelight.

While we must exercise caution in attributing causation to correlation, this study provides an electrifying glimpse into the charmingly capricious world of statistical analysis and the whimsical interplay between nomenclature and product malfunctions. As Mark Twain once quipped, "The difference between the right word and the almost right word is the difference between lightning and a lightning bug." Or, in our case, between a car recall and a car "Re-Meranda-l."

Stay tuned as we continue to unravel the curious conundrums of name dynamics and societal phenomena, because in the world of research, there's always room for a little "Meranda-culous" mischief.

[[INTRODUCTION]]
Gather 'round, dear readers, as we embark on a whimsical journey through the correlation between nomenclature and automotive mayhem. Our scholarly pursuit rests on the premise that a name can hold more power than we ever "auto"-matically assumed. With a statistical wink and a data-driven nod, we aim to shed light on the enigmatic link between the popularity of the moniker "Meranda" and the frequency of recalls hurled onto the asphalt by the titans of General Motors.
As we delve into this "wheel"-y exciting topic, it's worth recalling the wise words of dear old Dad: "What's in a name? A lot, if you're trying to avoid a vehicular recall!" Ah, the classics.
The impetus for our investigation springs from the peculiar yet tantalizing possibility that certain names may bear an inadvertent influence on the quality and performance of automobiles. Just as Romeo and Juliet's "star-crossed" love ended in tragedy, could the rise of "Meranda" herald an unwelcome spate of automotive tribulations? It seems the Bard's words continue to resonate in the most unexpected avenues.
To ferret out the truth behind this name-game, we have meticulously combed through the archives of the US Social Security Administration and the US Department of Transportation. Our quest? To discern whether the frequency of "Meranda"s correlates with a concomitant surge in General Motors' automotive bloopers. It's a "midnight rendezvous" between data sets that promises to unveil the peculiar dance of names and engineering mishaps.
But before we embark on this "Meranda-voyage," we must equip ourselves with the knowledge that correlation does not entail causation. As any seasoned researcher knows, one must tread cautiously through the statistical "name-scape," lest we get lost in the quagmire of spurious relationships. In the lexicon of research, mistaking correlation for causation is akin to mistaking a tire for a "re-tire-ment" plan—potentially hazardous.
With bated breath and a touch of statistical whimsy, let us unearth the curious confections of "Meranda" and General Motors recalls, for in the annals of academia, there is always room for a little "Meranda-culous" mischief.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Our methodology was akin to navigating a twisted highway with multiple detours, roadblocks, and the occasional enthusiastic squirrel darting across the path. We embarked on this whimsical research escapade by first tapping into the fount of data provided by the US Social Security Administration (SSA). Armed with the steadfast determination of a mathematician and the fervor of a linguistic aficionado, we extracted the historical records of individuals bearing the moniker "Meranda" from 1975 to 2013. This exhaustive expedition through the annals of nomenclature gifted us a treasure trove of name frequencies, akin to stumbling upon a comedic goldmine amidst the data desert.

With a wink to good old Descartesian principles, we then ventured into the realm of the US Department of Transportation (DOT) to procure a comprehensive compilation of automotive recalls issued by the illustrious General Motors within the same time period. Like intrepid explorers charting uncharted territories, we meticulously deciphered the labyrinthine trails of recall announcements, steering our analytical compass toward unraveling the potential connection between "Meranda" and vehicular woes.

Utilizing the sinewy muscles of statistical software, we engaged in a symphonic dance of correlations and regressions, akin to composing a sonnet with numbers and variables pirouetting across the stage of data. Our goal was as clear as a day without fog lights: to ascertain whether the popularity of the name "Meranda" danced in merry tandem with the issuance of automotive recalls by General Motors, or if it merely pranced in the shadows of statistical insignificance.

With all the juxtaposed seriousness and mirthfulness of blending numbers and names, we applied the Spearman rank correlation coefficient to disentangle the enigma that lay before us. This method, wielding the heavy artillery of rank order, allowed us to uncover potential associations between the ebbs and flows of "Meranda" monikers and the tempestuous tides of automotive recalls. This statistical endeavor was akin to a tango between data sets, where each step held the promise of unveiling the whimsical rhythms of nomenclature and vehicular status.

And like a week-old pun, we relentlessly subjected our findings to stringent sensitivity analyses, ensuring that our results remained robust under the scrutiny of various statistical scenarios. This precautionary measure, akin to fortifying a house against a storm of skepticism, bolstered the confidence in our merry findings and shielded them from the gusts of statistical doubt.

As we sailed through the choppy seas of statistical inference, we recollected the sage advice of Aristotle, who proclaimed, "It is the mark of an educated mind to be able to entertain a thought without accepting it." And so, dear reader, we implore you to mull over our findings with a playful spirit, relishing the name-game and automotive "Meranda-hem" that encapsulates the vivacious vigor of this scholarly pursuit.


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 Meranda and Automotive recalls issued by General Motors. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and US DOT .

For the time period 1975 to 2013, you found a correlation 0.5767412, r-squared of 0.3326305, 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]]
Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions

[[ABSTRACT]]
In this scholarly romp, we delve into the delightful domain of given names and automotive mishaps. Our study seeks to unravel the quirky correlation between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the esteemed General Motors. Surely, this investigation is not "auto"-matic, but rather a lighthearted exploration into the world of data analysis and name-related banter.

Our rambunctious research team has tapped into the databases of the US Social Security Administration and the US Department of Transportation to dissect this tantalizing question: Does the prominence of "Meranda" as a first name coincide with a surge in automotive recalls? Our findings reveal a correlation coefficient of 0.5767412 and p < 0.01 for the years 1975 to 2013. It seems that "Meranda" has been revving up more than just her engine as she zooms into the limelight.

While we must exercise caution in attributing causation to correlation, this study provides an electrifying glimpse into the charmingly capricious world of statistical analysis and the whimsical interplay between nomenclature and product malfunctions. As Mark Twain once quipped, "The difference between the right word and the almost right word is the difference between lightning and a lightning bug." Or, in our case, between a car recall and a car "Re-Meranda-l."

Stay tuned as we continue to unravel the curious conundrums of name dynamics and societal phenomena, because in the world of research, there's always room for a little "Meranda-culous" mischief.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Gather 'round, dear readers, as we embark on a whimsical journey through the correlation between nomenclature and automotive mayhem. Our scholarly pursuit rests on the premise that a name can hold more power than we ever "auto"-matically assumed. With a statistical wink and a data-driven nod, we aim to shed light on the enigmatic link between the popularity of the moniker "Meranda" and the frequency of recalls hurled onto the asphalt by the titans of General Motors.
As we delve into this "wheel"-y exciting topic, it's worth recalling the wise words of dear old Dad: "What's in a name? A lot, if you're trying to avoid a vehicular recall!" Ah, the classics.
The impetus for our investigation springs from the peculiar yet tantalizing possibility that certain names may bear an inadvertent influence on the quality and performance of automobiles. Just as Romeo and Juliet's "star-crossed" love ended in tragedy, could the rise of "Meranda" herald an unwelcome spate of automotive tribulations? It seems the Bard's words continue to resonate in the most unexpected avenues.
To ferret out the truth behind this name-game, we have meticulously combed through the archives of the US Social Security Administration and the US Department of Transportation. Our quest? To discern whether the frequency of "Meranda"s correlates with a concomitant surge in General Motors' automotive bloopers. It's a "midnight rendezvous" between data sets that promises to unveil the peculiar dance of names and engineering mishaps.
But before we embark on this "Meranda-voyage," we must equip ourselves with the knowledge that correlation does not entail causation. As any seasoned researcher knows, one must tread cautiously through the statistical "name-scape," lest we get lost in the quagmire of spurious relationships. In the lexicon of research, mistaking correlation for causation is akin to mistaking a tire for a "re-tire-ment" plan—potentially hazardous.
With bated breath and a touch of statistical whimsy, let us unearth the curious confections of "Meranda" and General Motors recalls, for in the annals of academia, there is always room for a little "Meranda-culous" mischief.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our rambunctious foray into the world of whimsical correlations has furnished us with results that are as intriguing as a car with a mind of its own. We harnessed the power of statistical analysis to unveil a correlation coefficient of 0.5767412 between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the venerable General Motors. "Meranda" has certainly made quite the impression, and it seems her impact extends beyond her individual persona and into the realm of automotive engineering.

This finding suggests a moderately strong positive correlation between the prevalence of "Meranda"s and the occurrence of automotive recalls. It appears that the rise in popularity of the name "Meranda" is indeed accompanied by a commensurate uptick in General Motors' announcements of automotive malfunctions. One might say that "Meranda" is not just a name but a statistical force to be reckoned with—much like that tricky engine light that always seems to come on at the most inconvenient times.

In more technical terms, our analysis yielded an r-squared value of 0.3326305, indicating that approximately 33.26% of the variability in automotive recalls issued by General Motors can be explained by the popularity of the name "Meranda." While this finding does not establish a causal relationship, it sheds a delightful beam of statistical sunshine on the peculiar interplay between nomenclature and automotive quagmires, offering a peppering of whimsy to the world of data analysis.

But before we embark on further interpretations, it's important to remember that correlation does not imply causation. As every diligent statistician knows, drawing causal inferences from correlation alone is akin to assuming that a car horn is for playing music—a delightful idea in theory, but not grounded in sound evidence. In the merry-go-round of statistical analyses, we must exercise caution and resist the allure of attributing causative powers to correlation without robust evidence.

Now, let's take a gander at Fig. 1. Here, we have a scatterplot that visually encapsulates the robust correlation we've uncovered. Behold the beauty of data points that waltz across the Cartesian plane, illustrating the synchronous rise of "Meranda"s and the corresponding surge in automotive recalls. It's a sight to behold, akin to a meticulously choreographed automotive ballet with a touch of statistical flair and a dash of whimsy.

As we conclude this rollicking expedition into the world of names and automotive foibles, we are left with more questions than answers. What does "Meranda"s meteoric rise in popularity portend for the future of automotive engineering? Are we witnessing the "Meranda-fication" of auto defects, or is this a delightful statistical quirk to be celebrated with a hearty chuckle and a raised eyebrow? As we bid adieu to this delightful romp, we invite fellow scholars to join us in this "Meranda-ment" and to continue our merry jaunt through the perennially captivating terrain of whimsical correlations and statistical tomfoolery.


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 Meranda and Automotive recalls issued by General Motors. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions

[[ABSTRACT]]
In this scholarly romp, we delve into the delightful domain of given names and automotive mishaps. Our study seeks to unravel the quirky correlation between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the esteemed General Motors. Surely, this investigation is not "auto"-matic, but rather a lighthearted exploration into the world of data analysis and name-related banter.

Our rambunctious research team has tapped into the databases of the US Social Security Administration and the US Department of Transportation to dissect this tantalizing question: Does the prominence of "Meranda" as a first name coincide with a surge in automotive recalls? Our findings reveal a correlation coefficient of 0.5767412 and p < 0.01 for the years 1975 to 2013. It seems that "Meranda" has been revving up more than just her engine as she zooms into the limelight.

While we must exercise caution in attributing causation to correlation, this study provides an electrifying glimpse into the charmingly capricious world of statistical analysis and the whimsical interplay between nomenclature and product malfunctions. As Mark Twain once quipped, "The difference between the right word and the almost right word is the difference between lightning and a lightning bug." Or, in our case, between a car recall and a car "Re-Meranda-l."

Stay tuned as we continue to unravel the curious conundrums of name dynamics and societal phenomena, because in the world of research, there's always room for a little "Meranda-culous" mischief.

[[LITERATURE REVIEW]]
In their seminal work, Smith et al. (2010) conducted a thorough investigation into the sociocultural influences on given names and their potential impact on various facets of life. Despite not specifically examining automotive recalls, their work sheds light on the intricate interplay between nomenclature and societal phenomena. This study serves as a sturdy chassis upon which we build our exploration of the curious correlation between "Meranda" and General Motors' vehicular tribulations.
Doe and Jones (2015) extended this line of inquiry by delving into the psychological implications of name popularity and its ramifications on individual behavior. While their research does not directly tackle the realm of automotive recalls, it tantalizingly hints at the overarching influence of names on diverse aspects of human experience. Just as a well-chosen name can rev up a sense of confidence, could it also rev up a surge in automotive recalls? It's a "wheel"-y intriguing prospect.
In "The Name Effect" by Lillian Glass, the author unveils the subtle but influential power of names in shaping perceptions and behaviors. While Glass's work does not explicitly touch upon automotive recalls, the underlying premise provokes contemplation: Could the prominence of a name such as "Meranda" instigate a ripple effect, causing ripples not just in social circles, but also in the automotive industry? As the saying goes, a rose by any other name might smell as sweet, but does "Meranda" by any other name result in the same number of recalled vehicles?
Turning to the realm of fiction, Mitch Albom's "The Five People You Meet in Heaven" leads us on a poignant journey, exploring the intricate connections that shape individual destinies. While not directly related to automotive recalls or given names, this literary gem reminds us of the multifaceted tapestry of human experiences. Just as every name weaves its own story, perhaps "Meranda" holds a narrative that intertwined with the automotive mishaps of General Motors in unforeseen ways.
Meanwhile, in the realm of cinema, "Ferris Bueller's Day Off" takes us on a joyride through the misadventures of high school student Ferris Bueller. As we witness the escapades of Ferris and his friends, we are reminded that even the most seemingly innocent joyrides can lead to unforeseen mishaps. Much like the titular character's exploits, the rise of "Meranda" in popularity may have coincided with a series of unexpected "auto"-matic trials for General Motors.
In their examination of the quirks and quibbles of the English language, Monty Python's "The Flying Circus" offers a whimsical perspective on the intricacies of communication. While not directly exploring the correlation between names and automotive recalls, the irreverent wit of the Python troupe underscores the whimsical nature of language and societal interactions. After all, in the world of research, there's always room for a little "Meranda-culous" mischief.
As we navigate through this eclectic array of literature and media, we are reminded of the rich tapestry of influences that shape our perceptions and experiences. From the sobering insights of academic research to the flights of fancy found in fiction and film, it's "highway" time we unveil the peculiar correlations between "Meranda" and General Motors recalls with a dash of statistical whimsy and a hint of name-related banter. Let's rev up our engines and embark on this "voyage of the moniker," for in the annals of academia, there's always room for a little "Meranda-culous" mischief.

[[RESULTS]]
Our rambunctious foray into the world of whimsical correlations has furnished us with results that are as intriguing as a car with a mind of its own. We harnessed the power of statistical analysis to unveil a correlation coefficient of 0.5767412 between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the venerable General Motors. "Meranda" has certainly made quite the impression, and it seems her impact extends beyond her individual persona and into the realm of automotive engineering.
This finding suggests a moderately strong positive correlation between the prevalence of "Meranda"s and the occurrence of automotive recalls. It appears that the rise in popularity of the name "Meranda" is indeed accompanied by a commensurate uptick in General Motors' announcements of automotive malfunctions. One might say that "Meranda" is not just a name but a statistical force to be reckoned with—much like that tricky engine light that always seems to come on at the most inconvenient times.
In more technical terms, our analysis yielded an r-squared value of 0.3326305, indicating that approximately 33.26% of the variability in automotive recalls issued by General Motors can be explained by the popularity of the name "Meranda." While this finding does not establish a causal relationship, it sheds a delightful beam of statistical sunshine on the peculiar interplay between nomenclature and automotive quagmires, offering a peppering of whimsy to the world of data analysis.
But before we embark on further interpretations, it's important to remember that correlation does not imply causation. As every diligent statistician knows, drawing causal inferences from correlation alone is akin to assuming that a car horn is for playing music—a delightful idea in theory, but not grounded in sound evidence. In the merry-go-round of statistical analyses, we must exercise caution and resist the allure of attributing causative powers to correlation without robust evidence.
Now, let's take a gander at Fig. 1. Here, we have a scatterplot that visually encapsulates the robust correlation we've uncovered. Behold the beauty of data points that waltz across the Cartesian plane, illustrating the synchronous rise of "Meranda"s and the corresponding surge in automotive recalls. It's a sight to behold, akin to a meticulously choreographed automotive ballet with a touch of statistical flair and a dash of whimsy.
As we conclude this rollicking expedition into the world of names and automotive foibles, we are left with more questions than answers. What does "Meranda"s meteoric rise in popularity portend for the future of automotive engineering? Are we witnessing the "Meranda-fication" of auto defects, or is this a delightful statistical quirk to be celebrated with a hearty chuckle and a raised eyebrow? As we bid adieu to this delightful romp, we invite fellow scholars to join us in this "Meranda-ment" and to continue our merry jaunt through the perennially captivating terrain of whimsical correlations and statistical tomfoolery.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our findings, much like a well-timed pun at a family reunion, have illuminated a correlation between the frequency of automotive recalls by General Motors and the popularity of the first name "Meranda." The results of our statistical analysis echo the whimsical whispers of prior research, offering a lively dance of data points that twirl into a captivating narrative of nomenclature and automotive tribulations.

Harking back to the jocular jabs and theoretical musings of our literature review, our study bolsters the insightful observations of Smith et al. (2010) and Doe and Jones (2015) by showcasing a quantifiable association between the rise of "Meranda" and the surge in automotive recalls. It appears that name dynamics, much like the unpredictable whims of a mischievous wind, weave their influence across various facets of societal phenomena, including the wondrous world of automotive engineering.

The moderately strong positive correlation we have unearthed adds a touch of statistical sparkle to the ever-expanding repertoire of name-related banter. It seems that "Meranda" does not merely saunter across social settings but also leaves her imprint on the mechanical marvels that propel us forward. In the words of automotive enthusiasts, one might say that she has certainly "accelerated" her impact on General Motors.

Our analysis, with all its numeric nuances and graphical charm, aligns with the underlying premise posited by Glass (Year). Just as a well-chosen name holds the power to shape perceptions and behaviors, our findings hint at the possibility of "Meranda"s name wielding an unforeseen influence on the landscape of automotive recalls. It's as if the digits and data points engage in a spirited cha-cha, mirroring the intricate interplay between nomenclature and industrial foibles.

As we gaze upon the scatterplot in all its visual splendor, it's hard not to be reminded of the playful jostlings of Monty Python's "The Flying Circus." The irreverent whimsy of the Python troupe finds a statistical compatriot in our dance of data points, reminding us that even in the serious realm of research, there's always room for a little statistical mischief.

While we pause to revel in the enchanting allure of our results, we must tread with caution, much like a pedestrian navigating a bustling intersection. As every prudent statistician knows, correlation must not be hastily crowned with the mantle of causation. Drawing grandiose inferences about the influence of a name's popularity on automotive recalls without robust empirical evidence is akin to assuming that a tire pump can also serve as a musical instrument—a delightful fancy, but not grounded in substantive reality.

In closing, our venturesome expedition into the whimsical world of "Meranda" and automotive recalls ignites a twinkle of statistical curiosity and a beaming smile of mirth. Our study stands as a testament to the capricious nature of statistical explorations, where the unexpected correlations lurk in the data's nooks and crannies, awaiting the discerning eye and the mischievous wink of statistical whimsy. As we bid "adieu" to this scholarly escapade, we invite our esteemed colleagues to join us in this "Meranda-ment" and to partake in the merriment of unraveling correlations, one statistical caper at a time.


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 Meranda and Automotive recalls issued by General Motors. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions

[[ABSTRACT]]
In this scholarly romp, we delve into the delightful domain of given names and automotive mishaps. Our study seeks to unravel the quirky correlation between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the esteemed General Motors. Surely, this investigation is not "auto"-matic, but rather a lighthearted exploration into the world of data analysis and name-related banter.

Our rambunctious research team has tapped into the databases of the US Social Security Administration and the US Department of Transportation to dissect this tantalizing question: Does the prominence of "Meranda" as a first name coincide with a surge in automotive recalls? Our findings reveal a correlation coefficient of 0.5767412 and p < 0.01 for the years 1975 to 2013. It seems that "Meranda" has been revving up more than just her engine as she zooms into the limelight.

While we must exercise caution in attributing causation to correlation, this study provides an electrifying glimpse into the charmingly capricious world of statistical analysis and the whimsical interplay between nomenclature and product malfunctions. As Mark Twain once quipped, "The difference between the right word and the almost right word is the difference between lightning and a lightning bug." Or, in our case, between a car recall and a car "Re-Meranda-l."

Stay tuned as we continue to unravel the curious conundrums of name dynamics and societal phenomena, because in the world of research, there's always room for a little "Meranda-culous" mischief.

[[INTRDUCTION]]
Gather 'round, dear readers, as we embark on a whimsical journey through the correlation between nomenclature and automotive mayhem. Our scholarly pursuit rests on the premise that a name can hold more power than we ever "auto"-matically assumed. With a statistical wink and a data-driven nod, we aim to shed light on the enigmatic link between the popularity of the moniker "Meranda" and the frequency of recalls hurled onto the asphalt by the titans of General Motors.
As we delve into this "wheel"-y exciting topic, it's worth recalling the wise words of dear old Dad: "What's in a name? A lot, if you're trying to avoid a vehicular recall!" Ah, the classics.
The impetus for our investigation springs from the peculiar yet tantalizing possibility that certain names may bear an inadvertent influence on the quality and performance of automobiles. Just as Romeo and Juliet's "star-crossed" love ended in tragedy, could the rise of "Meranda" herald an unwelcome spate of automotive tribulations? It seems the Bard's words continue to resonate in the most unexpected avenues.
To ferret out the truth behind this name-game, we have meticulously combed through the archives of the US Social Security Administration and the US Department of Transportation. Our quest? To discern whether the frequency of "Meranda"s correlates with a concomitant surge in General Motors' automotive bloopers. It's a "midnight rendezvous" between data sets that promises to unveil the peculiar dance of names and engineering mishaps.
But before we embark on this "Meranda-voyage," we must equip ourselves with the knowledge that correlation does not entail causation. As any seasoned researcher knows, one must tread cautiously through the statistical "name-scape," lest we get lost in the quagmire of spurious relationships. In the lexicon of research, mistaking correlation for causation is akin to mistaking a tire for a "re-tire-ment" plan—potentially hazardous.
With bated breath and a touch of statistical whimsy, let us unearth the curious confections of "Meranda" and General Motors recalls, for in the annals of academia, there is always room for a little "Meranda-culous" mischief.

[[RESULTS]]
Our rambunctious foray into the world of whimsical correlations has furnished us with results that are as intriguing as a car with a mind of its own. We harnessed the power of statistical analysis to unveil a correlation coefficient of 0.5767412 between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the venerable General Motors. "Meranda" has certainly made quite the impression, and it seems her impact extends beyond her individual persona and into the realm of automotive engineering.
This finding suggests a moderately strong positive correlation between the prevalence of "Meranda"s and the occurrence of automotive recalls. It appears that the rise in popularity of the name "Meranda" is indeed accompanied by a commensurate uptick in General Motors' announcements of automotive malfunctions. One might say that "Meranda" is not just a name but a statistical force to be reckoned with—much like that tricky engine light that always seems to come on at the most inconvenient times.
In more technical terms, our analysis yielded an r-squared value of 0.3326305, indicating that approximately 33.26% of the variability in automotive recalls issued by General Motors can be explained by the popularity of the name "Meranda." While this finding does not establish a causal relationship, it sheds a delightful beam of statistical sunshine on the peculiar interplay between nomenclature and automotive quagmires, offering a peppering of whimsy to the world of data analysis.
But before we embark on further interpretations, it's important to remember that correlation does not imply causation. As every diligent statistician knows, drawing causal inferences from correlation alone is akin to assuming that a car horn is for playing music—a delightful idea in theory, but not grounded in sound evidence. In the merry-go-round of statistical analyses, we must exercise caution and resist the allure of attributing causative powers to correlation without robust evidence.
Now, let's take a gander at Fig. 1. Here, we have a scatterplot that visually encapsulates the robust correlation we've uncovered. Behold the beauty of data points that waltz across the Cartesian plane, illustrating the synchronous rise of "Meranda"s and the corresponding surge in automotive recalls. It's a sight to behold, akin to a meticulously choreographed automotive ballet with a touch of statistical flair and a dash of whimsy.
As we conclude this rollicking expedition into the world of names and automotive foibles, we are left with more questions than answers. What does "Meranda"s meteoric rise in popularity portend for the future of automotive engineering? Are we witnessing the "Meranda-fication" of auto defects, or is this a delightful statistical quirk to be celebrated with a hearty chuckle and a raised eyebrow? As we bid adieu to this delightful romp, we invite fellow scholars to join us in this "Meranda-ment" and to continue our merry jaunt through the perennially captivating terrain of whimsical correlations and statistical tomfoolery.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study has unearthed a correlation that is as intriguing as a car that still insists on using a cassette player in the age of streaming services. The statistical alliance between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by General Motors has proven to be a captivating tale of alphanumeric antics and vehicular vexations.

Our findings point to a moderately strong positive correlation, indicating that "Meranda's" ascent into the limelight is indeed accompanied by a concurrent surge in automotive malfunctions. One can't help but wonder if "Meranda" has been secretly tinkering with the automotive gears, aspiring to become the "Gearhead Goddess" of statistical lore.

However, as we bid farewell to this whimsical saga of names and automotive misadventures, we must heed the sage advice of numbers and keep in mind that correlation does not imply causation. Let's not jump to conclusions faster than a poorly maintained convertible on a bumpy road.

As we take our leave, we dare say that we've revved up more questions than we've answered. Does the rise of "Meranda" herald a quirky statistical anomaly, or are we witnessing the dawn of a new era, one where names hold mysterious sway over the mechanical marvels of our time? It's a conundrum that may puzzle even the most seasoned statistician—and provide ample fodder for name-related puns, much to the delight of dads everywhere.

In the spirit of scholarly mischief and statistical whimsy, we assert that further research in this delightful domain may yield more chuckles and unexpected revelations. As for the connection between the popularity of "Meranda" and General Motors' automotive recalls, we dare say that no more research is needed in this area. Let's leave this "Meranda-ment" on a high note and continue our merry jaunt through the playful corridors of academic inquiry.


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 Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Quandaries


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 Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Nomenclature and Automotive Anomalies Research (SNAAR)


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 Meranda's Moniker Mayhem: A Matchup of Monikers and Motor Malfunctions with an abstract of In this scholarly romp, we delve into the delightful domain of given names and automotive mishaps. Our study seeks to unravel the quirky correlation between the popularity of the first name "Meranda" and the frequency of automotive recalls issued by the esteemed General Motors. Surely, this investigation is not "auto"-matic, but rather a lighthearted exploration into the world of data analysis and name-related banter.
Our rambunctious research team has tapped into the databases of the US Social Security Administration and the US Department of Transportation to dissect this tantalizing question: Does the prominence of "Meranda" as a first name coincide with a surge in automotive recalls? Our findings reveal a correlation coefficient of 0.5767412 and p < 0.01 for the years 1975 to 2013. It seems that "Meranda" has been revving up more than just her engine as she zooms into the limelight.
While we must exercise caution in attributing causation to correlation, this study provides an electrifying glimpse into the charmingly capricious world of statistical analysis and the whimsical interplay between nomenclature and product malfunctions. As Mark Twain once quipped, "The difference between the right word and the almost right word is the difference between lightning and a lightning bug." Or, in our case, between a car recall and a car "Re-Meranda-l."
Stay tuned as we continue to unravel the curious conundrums of name dynamics and societal phenomena, because in the world of research, there's always room for a little "Meranda-culous" mischief.

ChatGPT:

Meranda name, automobile recalls, correlation, General Motors, US Social Security Administration, US Department of Transportation, name popularity, automotive mishaps, statistical analysis, data analysis, nomenclature, correlation coefficient, causation, societal phenomena

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



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Data details

Popularity of the first name Meranda
Detailed data title: Babies of all sexes born in the US named Meranda
Source: US Social Security Administration
See what else correlates with Popularity of the first name Meranda

Automotive recalls issued by General Motors
Detailed data title: Automotive recals issued by General Motors
Source: US DOT
See what else correlates with Automotive recalls issued by General Motors

Correlation r = 0.5767412 (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 = 0.3326305 (Coefficient of determination)
This means 33.3% of the change in the one variable (i.e., Automotive recalls issued by General Motors) is predictable based on the change in the other (i.e., Popularity of the first name Meranda) over the 39 years from 1975 through 2013.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00012. 0.0001215040988085594200000000
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 0.58 in 0.012% of random cases. Said differently, if you correlated 8,230 random variables Which I absolutely did.
with the same 38 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 38 because we have two variables measured over a period of 39 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.

[ 0.32, 0.75 ] 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.
197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013
Popularity of the first name Meranda (Babies born)425147585890647169656050535676123171153140186178158118991056556562753412927302710141410
Automotive recalls issued by General Motors (Recalls)192723293615151520252725323625354126304740383531385231272540301718211621221824




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. Outlandish outliers: There are "outliers" in this data. In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

    For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.

    (This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
    They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([42,51,47,58,58,90,64,71,69,65,60,50,53,56,76,123,171,153,140,186,178,158,118,99,105,65,56,56,27,53,41,29,27,30,27,10,14,14,10,])
array_2 = np.array([19,27,23,29,36,15,15,15,20,25,27,25,32,36,25,35,41,26,30,47,40,38,35,31,38,52,31,27,25,40,30,17,18,21,16,21,22,18,24,])
array_1_name = "Popularity of the first name Meranda"
array_2_name = "Automotive recalls issued by General Motors"

# 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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Correlation ID: 1578 · Black Variable ID: 3970 · Red Variable ID: 1117
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