Spurious correlation #5,873 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of movies Elizabeth Olsen appeared in and the second variable is The marriage rate in District of Columbia. The chart goes from 1999 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of movies Elizabeth Olsen appeared in and the second variable is The marriage rate in District of Columbia. The chart goes from 1999 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As Elizabeth Olsen's filmography expanded, so did the love and romance permeating the nation's capital. It's no coincidence that as more people watched her on screen, they were inspired to seek out their own real-life love stories. Her captivating performances must have been creating a ripple effect of budding relationships, ultimately contributing to a surge in weddings. Who knew that the road to matrimonial bliss in D.C. was paved with the silver screen charisma of Elizabeth Olsen!

^{Show image generation prompt} Model: dalle-3
Prompt: [DALLE-3, Cute cartoon] Generate an image of a glowing Elizabeth Olsen movie poster being displayed in the heart of Washington, D.C. As couples stroll hand in hand, taking in the romantic ambiance, portraying a blossoming love inspired by Elizabeth Olsen's on-screen charm. In the background, visualize the marriage rate in the District of Columbia steadily rising. 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: The number of movies Elizabeth Olsen appeared in and The marriage rate in District of Columbia. 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: Celtic art High-tech Cute cartoon Steampunk Cute cartoon
ChatGPT: Cute cartoon

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 The number of movies Elizabeth Olsen appeared in and The marriage rate in District of Columbia, in the following situation: As Elizabeth Olsen's filmography expanded, so did the love and romance permeating the nation's capital. It's no coincidence that as more people watched her on screen, they were inspired to seek out their own real-life love stories. Her captivating performances must have been creating a ripple effect of budding relationships, ultimately contributing to a surge in weddings. Who knew that the road to matrimonial bliss in D.C. was paved with the silver screen charisma of Elizabeth Olsen!. Keep the description simple.
ChatGPT: A glowing Elizabeth Olsen movie poster is displayed in the heart of Washington, D.C. as couples stroll hand in hand, taking in the romantic ambiance. In the background, the marriage rate in District of Columbia steadily rises, mirroring the blossoming love inspired by Elizabeth Olsen's on-screen charm.

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: [ Cute cartoon ] and depicting this scene: A glowing Elizabeth Olsen movie poster is displayed in the heart of Washington, D.C. as couples stroll hand in hand, taking in the romantic ambiance. In the background, the marriage rate in District of Columbia steadily rises, mirroring the blossoming love inspired by Elizabeth Olsen's on-screen charm. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [DALLE-3, Cute cartoon] Generate an image of a glowing Elizabeth Olsen movie poster being displayed in the heart of Washington, D.C. As couples stroll hand in hand, taking in the romantic ambiance, portraying a blossoming love inspired by Elizabeth Olsen's on-screen charm. In the background, visualize the marriage rate in the District of Columbia steadily rising.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in The number of movies Elizabeth Olsen appeared in caused The marriage rate in District of Columbia to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)

The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia

The Journal of Celebrity Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

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

Please make up a literature review section of an academic research paper presenting the findings of the connection between The number of movies Elizabeth Olsen appeared in and The marriage rate in District of Columbia. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia

[[ABSTRACT]]
This study examines the relationship between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia. By utilizing data from The Movie DB and CDC National Vital Statistics, a strong positive correlation was observed, with a correlation coefficient of 0.8470780 and p < 0.01 for the years 1999 to 2021. The findings suggest that the presence of Elizabeth Olsen in movies may have a significant influence on the marriage rates in the District of Columbia. This unexpected association opens the door to further inquiries into the role of celebrity presence in societal trends, offering a novel perspective on the intersection of popular culture and demographic patterns. However, caution should be exercised in interpreting such correlations, as unobserved confounding factors may contribute to the association. Nonetheless, it is clear that the Olsens, through their cinematic endeavors, appear to have a curious, albeit intriguing, effect on the romantic pursuits of those residing in the nation's capital.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of celebrity culture and societal trends has long been a subject of fascination and intrigue. From the influence of fashion icons on consumer behavior to the impact of celebrities on political engagement, the reach of public figures into the realm of public life is undeniable. Against this backdrop, the present study delves into the curious relationship between the cinematic presence of Elizabeth Olsen and the marriage rates in the District of Columbia. The allure of Hollywood's silver screen and the solemnity of marital vows converge in an unexpected and perhaps inexplicable manner.
In the realm of statistical inquiry, the search for correlation often leads researchers into unexpected and unexplored territories. With an air of scientific skepticism, the investigators were initially drawn to the unlikely association between a single actor's filmography and the romantic pursuits of a specific geographic region. Nonetheless, armed with a data-driven approach and a healthy dose of curiosity, the examination of this association yields intriguing insights into the interplay between popular culture and demographic dynamics. The emergence of such unexpected relationships serves as a poignant reminder of the complexities inherent in the human experience, as well as the propensity for humor to be found in the unlikeliest of places.
The research aims to contribute to our understanding of the intricate web of influences that shape societal trends, providing a stepping stone for further exploration of the role of celebrity presence in shaping the romantic landscape of the District of Columbia. As the inquiry unfolds, the findings are presented with due caution, acknowledging the potential for unforeseen confounding factors to confound the association. Nonetheless, the lively dance between the world of cinema and the institution of marriage in the nation's capital prompts a closer examination of the entertainment industry's impact on societal norms, reminding us that in the theater of society, the role of the actors is not always as straightforward as a scripted narrative.
In the following sections, the methodology, findings, and implications of this investigation will be outlined, offering a panoramic view of the amorous journey embarked upon by the Olsens and the denizens of the District of Columbia. As the celluloid drama intertwines with the ritual of matrimonial commitment, the stage is set for an exploration that marries statistical rigor with the whimsy of popular culture, offering a glimpse into the playful undercurrents that shape our societal tapestry.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The connection between celebrity presence and societal trends has been the subject of extensive investigation. Smith et al. (2010) explored the correlation between the number of movies featuring prominent actors and consumer spending behaviors, revealing intriguing patterns of influence. In a similar vein, Doe and Jones (2015) examined the impact of celebrity endorsements on political engagement, shedding light on the persuasive power of public figures in shaping public opinion.

Moving beyond the realm of statistical analysis, studies have also delved into the multifaceted nature of romantic pursuits in distinct geographic locations. Johnson and Brown (2012) surveyed marriage rates across various U.S. states, uncovering a diversity of trends and patterns that underscore the idiosyncrasies of regional marital customs. Furthermore, in their ethnographic inquiry, Davis and Garcia (2017) illuminated the cultural nuances embedded within the institution of marriage, painting a colorful portrait of the varied traditions and rituals that accompany the union of hearts and souls.

Transitioning towards the realm of popular culture, non-fiction works such as "Celebrity Influence: A Societal Primer" by Smith et al. (2015) provide a comprehensive overview of the ways in which public figures shape societal dynamics. Similarly, "Love, Marriage, and the Silver Screen" by Doe (2018) offers an insightful exploration of the interplay between cinematic representations of love and the real-world experiences of romantic relationships.

In the domain of fiction, literary works such as "Weddings and Wanders" by Johnson (2019) and "Romance on the Potomac" by Brown (2021) captivate readers with fictionalized accounts of love and matrimony set against the backdrop of the District of Columbia.

Moreover, the rise of internet memes, such as the "Marriage Meme" and the "Olsen Filmography Frenzy," has generated playful commentary on the intersection of celebrity presence and romantic pursuits. These digital expressions underscore the pervasive nature of popular culture in shaping societal discourses and individual perceptions of amorous endeavors.

The confluence of scholarly investigations, literary works, and internet memes points to a rich tapestry of interconnected themes that converge in the present study, offering a multifaceted lens through which to examine the curious correlation between Elizabeth Olsen's cinematic appearances and the marriage rates in the District of Columbia.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between The number of movies Elizabeth Olsen appeared in and The marriage rate in District of Columbia. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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 The Movie DB and CDC National Vital Statistics . You used data from 1999 to 2021

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia

[[ABSTRACT]]
This study examines the relationship between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia. By utilizing data from The Movie DB and CDC National Vital Statistics, a strong positive correlation was observed, with a correlation coefficient of 0.8470780 and p < 0.01 for the years 1999 to 2021. The findings suggest that the presence of Elizabeth Olsen in movies may have a significant influence on the marriage rates in the District of Columbia. This unexpected association opens the door to further inquiries into the role of celebrity presence in societal trends, offering a novel perspective on the intersection of popular culture and demographic patterns. However, caution should be exercised in interpreting such correlations, as unobserved confounding factors may contribute to the association. Nonetheless, it is clear that the Olsens, through their cinematic endeavors, appear to have a curious, albeit intriguing, effect on the romantic pursuits of those residing in the nation's capital.

[[INTRODUCTION]]
The intersection of celebrity culture and societal trends has long been a subject of fascination and intrigue. From the influence of fashion icons on consumer behavior to the impact of celebrities on political engagement, the reach of public figures into the realm of public life is undeniable. Against this backdrop, the present study delves into the curious relationship between the cinematic presence of Elizabeth Olsen and the marriage rates in the District of Columbia. The allure of Hollywood's silver screen and the solemnity of marital vows converge in an unexpected and perhaps inexplicable manner.
In the realm of statistical inquiry, the search for correlation often leads researchers into unexpected and unexplored territories. With an air of scientific skepticism, the investigators were initially drawn to the unlikely association between a single actor's filmography and the romantic pursuits of a specific geographic region. Nonetheless, armed with a data-driven approach and a healthy dose of curiosity, the examination of this association yields intriguing insights into the interplay between popular culture and demographic dynamics. The emergence of such unexpected relationships serves as a poignant reminder of the complexities inherent in the human experience, as well as the propensity for humor to be found in the unlikeliest of places.
The research aims to contribute to our understanding of the intricate web of influences that shape societal trends, providing a stepping stone for further exploration of the role of celebrity presence in shaping the romantic landscape of the District of Columbia. As the inquiry unfolds, the findings are presented with due caution, acknowledging the potential for unforeseen confounding factors to confound the association. Nonetheless, the lively dance between the world of cinema and the institution of marriage in the nation's capital prompts a closer examination of the entertainment industry's impact on societal norms, reminding us that in the theater of society, the role of the actors is not always as straightforward as a scripted narrative.
In the following sections, the methodology, findings, and implications of this investigation will be outlined, offering a panoramic view of the amorous journey embarked upon by the Olsens and the denizens of the District of Columbia. As the celluloid drama intertwines with the ritual of matrimonial commitment, the stage is set for an exploration that marries statistical rigor with the whimsy of popular culture, offering a glimpse into the playful undercurrents that shape our societal tapestry.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The methodological approach employed in this investigation sought to navigate the labyrinthine landscape of celebrity influence and marital tendencies using a combination of data collection and statistical analysis. The aggregation of data pertaining to Elizabeth Olsen's cinematic oeuvre and the marriage rates in the District of Columbia necessitated a multifaceted strategy, blending digital archiving and quantitative scrutiny.

Data Collection:

The primary source of information regarding Elizabeth Olsen's appearances in motion pictures was sourced from The Movie DB, an online repository of cinematic records. As the repository encompasses a wide array of films, the search for accurate depictions of the actor's filmography involved a judicious curation process, warranting a meticulous culling of relevant entries.

Simultaneously, the marriage rates in the District of Columbia were gleaned from the CDC National Vital Statistics database, spanning the years 1999 to 2021. The extraction of this demographic data enabled the delineation of temporal patterns in marital unions, forming the cornerstone of the comparative analysis with Elizabeth Olsen's cinematic participation.

Data Processing:

The initial phase of data processing entailed the consolidation of Elizabeth Olsen's filmography, documenting the frequency of her on-screen appearances within the designated time frame. Concurrently, the marriage rates in the District of Columbia were aligned chronologically, facilitating a synchronized juxtaposition with the cinematic data.

Statistical Analysis:

The quantification of the relationship between Elizabeth Olsen's cinematic footprint and the marriage rates in the District of Columbia involved the utilization of Pearson's correlation coefficient. This statistical measure enabled the assessment of the strength and direction of the linear relationship between the two variables, resulting in a correlation coefficient of 0.8470780 and a p-value below 0.01.

Limitations and Caveats:

While the statistical findings revealed a robust positive correlation between Elizabeth Olsen's cinematic presence and the marriage rates in the District of Columbia, several limitations warrant acknowledgment. The absence of causal inference and the potential for unobserved confounders underscore the need for prudence in ascribing deterministic causality to the observed association. Additionally, the reliance on publicly available databases for cinematic and demographic data engenders a measure of dependency on the accuracy and completeness of the sources.

In sum, the methodological trajectory charted in this investigation aimed to chart an empirical course through the uncharted waters of celebrity influence and matrimonial inclinations, extrapolating insights from the cinematic endeavors of Elizabeth Olsen to illuminate the enigmatic dance of sociocultural phenomena within the precincts of the nation's capital.

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

Please make up the results section of an academic research paper presenting the findings of the connection between The number of movies Elizabeth Olsen appeared in and The marriage rate in District of Columbia. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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 The Movie DB and CDC National Vital Statistics .

For the time period 1999 to 2021, you found a correlation 0.8470780, r-squared of 0.7175412, 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]]
The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia

[[ABSTRACT]]
This study examines the relationship between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia. By utilizing data from The Movie DB and CDC National Vital Statistics, a strong positive correlation was observed, with a correlation coefficient of 0.8470780 and p < 0.01 for the years 1999 to 2021. The findings suggest that the presence of Elizabeth Olsen in movies may have a significant influence on the marriage rates in the District of Columbia. This unexpected association opens the door to further inquiries into the role of celebrity presence in societal trends, offering a novel perspective on the intersection of popular culture and demographic patterns. However, caution should be exercised in interpreting such correlations, as unobserved confounding factors may contribute to the association. Nonetheless, it is clear that the Olsens, through their cinematic endeavors, appear to have a curious, albeit intriguing, effect on the romantic pursuits of those residing in the nation's capital.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of celebrity culture and societal trends has long been a subject of fascination and intrigue. From the influence of fashion icons on consumer behavior to the impact of celebrities on political engagement, the reach of public figures into the realm of public life is undeniable. Against this backdrop, the present study delves into the curious relationship between the cinematic presence of Elizabeth Olsen and the marriage rates in the District of Columbia. The allure of Hollywood's silver screen and the solemnity of marital vows converge in an unexpected and perhaps inexplicable manner.
In the realm of statistical inquiry, the search for correlation often leads researchers into unexpected and unexplored territories. With an air of scientific skepticism, the investigators were initially drawn to the unlikely association between a single actor's filmography and the romantic pursuits of a specific geographic region. Nonetheless, armed with a data-driven approach and a healthy dose of curiosity, the examination of this association yields intriguing insights into the interplay between popular culture and demographic dynamics. The emergence of such unexpected relationships serves as a poignant reminder of the complexities inherent in the human experience, as well as the propensity for humor to be found in the unlikeliest of places.
The research aims to contribute to our understanding of the intricate web of influences that shape societal trends, providing a stepping stone for further exploration of the role of celebrity presence in shaping the romantic landscape of the District of Columbia. As the inquiry unfolds, the findings are presented with due caution, acknowledging the potential for unforeseen confounding factors to confound the association. Nonetheless, the lively dance between the world of cinema and the institution of marriage in the nation's capital prompts a closer examination of the entertainment industry's impact on societal norms, reminding us that in the theater of society, the role of the actors is not always as straightforward as a scripted narrative.
In the following sections, the methodology, findings, and implications of this investigation will be outlined, offering a panoramic view of the amorous journey embarked upon by the Olsens and the denizens of the District of Columbia. As the celluloid drama intertwines with the ritual of matrimonial commitment, the stage is set for an exploration that marries statistical rigor with the whimsy of popular culture, offering a glimpse into the playful undercurrents that shape our societal tapestry.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis revealed a statistically significant positive correlation between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia for the years 1999 to 2021. The correlation coefficient of 0.8470780 indicates a strong relationship between the two variables, explaining approximately 71.75% of the variation in marriage rates. Furthermore, the p-value of less than 0.01 attests to the robustness of this correlation, providing confidence in the statistical significance of the relationship.

As depicted in Figure 1, the scatterplot visually illustrates the striking alignment between Elizabeth Olsen's cinematic endeavors and the ebb and flow of marriage rates in the District of Columbia. The data points form a tightly clustered pattern, akin to the orchestrated choreography of a Hollywood ensemble, affirming the robustness of the observed association.

While these findings may seem more akin to the plot of a romantic comedy than a conventional statistical inquiry, they warrant careful consideration. The unlikely yet compelling linkage between an actor's filmography and the marital pursuits of a specific geographic region challenges traditional perceptions of influential factors on demographic trends. It beckons researchers to ponder the role of celebrity presence in shaping societal norms and perhaps offers a whimsical reminder that statistical analyses can lead to unexpected and, at times, delightfully amusing discoveries.

The exploration of this unanticipated relationship sheds light on the intricate interplay between popular culture and demographic dynamics, suggesting that the influence of celebrity figures may extend beyond the silver screen to impact the romantic fabric of a community. However, it is imperative to exercise caution in attributing causation to this correlation, as unmeasured factors may contribute to the observed association. Nonetheless, the findings stimulate the imagination and provoke contemplation on the colorful tapestry of influences that shape our social landscape.

In closing, the synchronized dance between Elizabeth Olsen's cinematic presence and the marital trends in the District of Columbia invites further examination, exemplifying the captivating intermingling of statistical rigor with the whimsy of celebrity influence. The correlation, while intriguing, may also serve as a gentle reminder that even in the world of empirical inquiry, unpredictability and charm can emerge in the most unexpected places.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between The number of movies Elizabeth Olsen appeared in and The marriage rate in District of Columbia. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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]]
The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia

[[ABSTRACT]]
This study examines the relationship between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia. By utilizing data from The Movie DB and CDC National Vital Statistics, a strong positive correlation was observed, with a correlation coefficient of 0.8470780 and p < 0.01 for the years 1999 to 2021. The findings suggest that the presence of Elizabeth Olsen in movies may have a significant influence on the marriage rates in the District of Columbia. This unexpected association opens the door to further inquiries into the role of celebrity presence in societal trends, offering a novel perspective on the intersection of popular culture and demographic patterns. However, caution should be exercised in interpreting such correlations, as unobserved confounding factors may contribute to the association. Nonetheless, it is clear that the Olsens, through their cinematic endeavors, appear to have a curious, albeit intriguing, effect on the romantic pursuits of those residing in the nation's capital.

[[LITERATURE REVIEW]]
The connection between celebrity presence and societal trends has been the subject of extensive investigation. Smith et al. (2010) explored the correlation between the number of movies featuring prominent actors and consumer spending behaviors, revealing intriguing patterns of influence. In a similar vein, Doe and Jones (2015) examined the impact of celebrity endorsements on political engagement, shedding light on the persuasive power of public figures in shaping public opinion.
Moving beyond the realm of statistical analysis, studies have also delved into the multifaceted nature of romantic pursuits in distinct geographic locations. Johnson and Brown (2012) surveyed marriage rates across various U.S. states, uncovering a diversity of trends and patterns that underscore the idiosyncrasies of regional marital customs. Furthermore, in their ethnographic inquiry, Davis and Garcia (2017) illuminated the cultural nuances embedded within the institution of marriage, painting a colorful portrait of the varied traditions and rituals that accompany the union of hearts and souls.
Transitioning towards the realm of popular culture, non-fiction works such as "Celebrity Influence: A Societal Primer" by Smith et al. (2015) provide a comprehensive overview of the ways in which public figures shape societal dynamics. Similarly, "Love, Marriage, and the Silver Screen" by Doe (2018) offers an insightful exploration of the interplay between cinematic representations of love and the real-world experiences of romantic relationships.
In the domain of fiction, literary works such as "Weddings and Wanders" by Johnson (2019) and "Romance on the Potomac" by Brown (2021) captivate readers with fictionalized accounts of love and matrimony set against the backdrop of the District of Columbia.
Moreover, the rise of internet memes, such as the "Marriage Meme" and the "Olsen Filmography Frenzy," has generated playful commentary on the intersection of celebrity presence and romantic pursuits. These digital expressions underscore the pervasive nature of popular culture in shaping societal discourses and individual perceptions of amorous endeavors.
The confluence of scholarly investigations, literary works, and internet memes points to a rich tapestry of interconnected themes that converge in the present study, offering a multifaceted lens through which to examine the curious correlation between Elizabeth Olsen's cinematic appearances and the marriage rates in the District of Columbia.

[[RESULTS]]
The analysis revealed a statistically significant positive correlation between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia for the years 1999 to 2021. The correlation coefficient of 0.8470780 indicates a strong relationship between the two variables, explaining approximately 71.75% of the variation in marriage rates. Furthermore, the p-value of less than 0.01 attests to the robustness of this correlation, providing confidence in the statistical significance of the relationship.
As depicted in Figure 1, the scatterplot visually illustrates the striking alignment between Elizabeth Olsen's cinematic endeavors and the ebb and flow of marriage rates in the District of Columbia. The data points form a tightly clustered pattern, akin to the orchestrated choreography of a Hollywood ensemble, affirming the robustness of the observed association.
While these findings may seem more akin to the plot of a romantic comedy than a conventional statistical inquiry, they warrant careful consideration. The unlikely yet compelling linkage between an actor's filmography and the marital pursuits of a specific geographic region challenges traditional perceptions of influential factors on demographic trends. It beckons researchers to ponder the role of celebrity presence in shaping societal norms and perhaps offers a whimsical reminder that statistical analyses can lead to unexpected and, at times, delightfully amusing discoveries.
The exploration of this unanticipated relationship sheds light on the intricate interplay between popular culture and demographic dynamics, suggesting that the influence of celebrity figures may extend beyond the silver screen to impact the romantic fabric of a community. However, it is imperative to exercise caution in attributing causation to this correlation, as unmeasured factors may contribute to the observed association. Nonetheless, the findings stimulate the imagination and provoke contemplation on the colorful tapestry of influences that shape our social landscape.
In closing, the synchronized dance between Elizabeth Olsen's cinematic presence and the marital trends in the District of Columbia invites further examination, exemplifying the captivating intermingling of statistical rigor with the whimsy of celebrity influence. The correlation, while intriguing, may also serve as a gentle reminder that even in the world of empirical inquiry, unpredictability and charm can emerge in the most unexpected places.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of the present study have unveiled an intriguing connection between the cinematic presence of Elizabeth Olsen and the marriage rates in the District of Columbia, aligning with prior research that has explored the influence of public figures on societal dynamics. This unexpected association reminds us that in the realm of statistical analysis, as in life, one must always be prepared for the unanticipated and delightfully serendipitous.

Revisiting the literature review, the work of Johnson and Brown (2012) on marriage rates across U.S. states and the ethnographic insights of Davis and Garcia (2017) undoubtedly laid the groundwork for understanding the complexities of romantic pursuits in distinct geographic locales. The present findings further support this body of knowledge by suggesting that the silver screen may exert a whimsical influence on the romantic fabric of the District of Columbia, prompting us to contemplate the interplay of cultural, geographic, and cinematic factors in shaping societal trends. While this may initially seem as improbable as a fictional love story, the statistical robustness of the observed correlation underscores the significance of this relationship.

With a correlation coefficient of 0.8470780, the strength of the association between Elizabeth Olsen's filmography and the ebb and flow of marriage rates in the District of Columbia cannot be dismissed lightly. Just as an unexpected plot twist can add depth to a cinematic narrative, the unexpected alignment of these variables invites further inquiry into the intricate dynamics that underpin demographic trends. It is a reminder that statistical analyses can lead us down unexpected paths, and that even in the hallowed halls of research, there is room for the occasional dash of serendipity.

The interconnected themes that emerged from the literature review, spanning from scholarly investigations to internet memes, reflect the colorful tapestry of influences that converge in the present study. By uncovering a novel connection between a celebrity's filmography and regional marital customs, this study perpetuates the spirit of scientific inquiry, challenging preconceptions and beckoning researchers to think beyond the conventional confines of demographic analysis.

Although caution should be exercised in attributing causation to this correlation, as unmeasured factors may contribute to the observed association, the present findings captivate the imagination and serve as a lighthearted reminder of the unexpected and charming facets of empirical inquiry. As we continue to unravel the enigmatic threads that weave our social fabric, it is essential to embrace the whimsy that accompanies scientific discovery, for in the world of research, as in the world of cinema, delightful surprises await those with a keen eye and an open mind.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The number of movies Elizabeth Olsen appeared in and The marriage rate in District of Columbia. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. 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]]
The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia

[[ABSTRACT]]
This study examines the relationship between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia. By utilizing data from The Movie DB and CDC National Vital Statistics, a strong positive correlation was observed, with a correlation coefficient of 0.8470780 and p < 0.01 for the years 1999 to 2021. The findings suggest that the presence of Elizabeth Olsen in movies may have a significant influence on the marriage rates in the District of Columbia. This unexpected association opens the door to further inquiries into the role of celebrity presence in societal trends, offering a novel perspective on the intersection of popular culture and demographic patterns. However, caution should be exercised in interpreting such correlations, as unobserved confounding factors may contribute to the association. Nonetheless, it is clear that the Olsens, through their cinematic endeavors, appear to have a curious, albeit intriguing, effect on the romantic pursuits of those residing in the nation's capital.

[[INTRDUCTION]]
The intersection of celebrity culture and societal trends has long been a subject of fascination and intrigue. From the influence of fashion icons on consumer behavior to the impact of celebrities on political engagement, the reach of public figures into the realm of public life is undeniable. Against this backdrop, the present study delves into the curious relationship between the cinematic presence of Elizabeth Olsen and the marriage rates in the District of Columbia. The allure of Hollywood's silver screen and the solemnity of marital vows converge in an unexpected and perhaps inexplicable manner.
In the realm of statistical inquiry, the search for correlation often leads researchers into unexpected and unexplored territories. With an air of scientific skepticism, the investigators were initially drawn to the unlikely association between a single actor's filmography and the romantic pursuits of a specific geographic region. Nonetheless, armed with a data-driven approach and a healthy dose of curiosity, the examination of this association yields intriguing insights into the interplay between popular culture and demographic dynamics. The emergence of such unexpected relationships serves as a poignant reminder of the complexities inherent in the human experience, as well as the propensity for humor to be found in the unlikeliest of places.
The research aims to contribute to our understanding of the intricate web of influences that shape societal trends, providing a stepping stone for further exploration of the role of celebrity presence in shaping the romantic landscape of the District of Columbia. As the inquiry unfolds, the findings are presented with due caution, acknowledging the potential for unforeseen confounding factors to confound the association. Nonetheless, the lively dance between the world of cinema and the institution of marriage in the nation's capital prompts a closer examination of the entertainment industry's impact on societal norms, reminding us that in the theater of society, the role of the actors is not always as straightforward as a scripted narrative.
In the following sections, the methodology, findings, and implications of this investigation will be outlined, offering a panoramic view of the amorous journey embarked upon by the Olsens and the denizens of the District of Columbia. As the celluloid drama intertwines with the ritual of matrimonial commitment, the stage is set for an exploration that marries statistical rigor with the whimsy of popular culture, offering a glimpse into the playful undercurrents that shape our societal tapestry.

[[RESULTS]]
The analysis revealed a statistically significant positive correlation between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia for the years 1999 to 2021. The correlation coefficient of 0.8470780 indicates a strong relationship between the two variables, explaining approximately 71.75% of the variation in marriage rates. Furthermore, the p-value of less than 0.01 attests to the robustness of this correlation, providing confidence in the statistical significance of the relationship.
As depicted in Figure 1, the scatterplot visually illustrates the striking alignment between Elizabeth Olsen's cinematic endeavors and the ebb and flow of marriage rates in the District of Columbia. The data points form a tightly clustered pattern, akin to the orchestrated choreography of a Hollywood ensemble, affirming the robustness of the observed association.
While these findings may seem more akin to the plot of a romantic comedy than a conventional statistical inquiry, they warrant careful consideration. The unlikely yet compelling linkage between an actor's filmography and the marital pursuits of a specific geographic region challenges traditional perceptions of influential factors on demographic trends. It beckons researchers to ponder the role of celebrity presence in shaping societal norms and perhaps offers a whimsical reminder that statistical analyses can lead to unexpected and, at times, delightfully amusing discoveries.
The exploration of this unanticipated relationship sheds light on the intricate interplay between popular culture and demographic dynamics, suggesting that the influence of celebrity figures may extend beyond the silver screen to impact the romantic fabric of a community. However, it is imperative to exercise caution in attributing causation to this correlation, as unmeasured factors may contribute to the observed association. Nonetheless, the findings stimulate the imagination and provoke contemplation on the colorful tapestry of influences that shape our social landscape.
In closing, the synchronized dance between Elizabeth Olsen's cinematic presence and the marital trends in the District of Columbia invites further examination, exemplifying the captivating intermingling of statistical rigor with the whimsy of celebrity influence. The correlation, while intriguing, may also serve as a gentle reminder that even in the world of empirical inquiry, unpredictability and charm can emerge in the most unexpected places.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, the correlation between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia has unveiled a compelling association that cannot be brushed aside as mere happenstance. The statistically significant positive correlation, akin to the unexpected twist in a romantic comedy plot, has illuminated the intricate interplay between popular culture and demographic dynamics. This unexpected marriage of Hollywood allure and marital pursuits prompts one to consider the whimsical undercurrents that shape our societal tapestry, much like a meticulously crafted screenplay with surprising plot twists.

The robust correlation coefficient and the p-value underscore the statistical significance of this relationship, serving as a poignant reminder that in the theater of sociological inquiry, the allure of unexpected findings should not be overlooked. The findings offer a playful and captivating perspective on the possibility of the entertainment industry's influence extending beyond the silver screen to impact the romantic fabric of a community. This scholarship underscores the importance of embracing delightfully amusing discoveries in statistical analyses and urges further exploration into the role of celebrity presence in shaping societal norms.

However, it is essential to approach these findings with caution, as unmeasured factors may contribute to the observed association. Nonetheless, the synchrony between Elizabeth Olsen's cinematic presence and the marital trends in the District of Columbia opens a window into the captivating intermingling of statistical rigor with the whimsy of celebrity influence, tantalizing the scientific imagination and stimulating further contemplation.

In sum, the findings of this study exemplify the unexpected joys and surprises of rigorous empirical inquiry and suggest that no further research is needed in this unique and unexpectedly delightful area.

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 The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Celebrity Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Celebrity Studies and Societal Trends

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 The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia with an abstract of This study examines the relationship between the number of movies featuring Elizabeth Olsen and the marriage rates in the District of Columbia. By utilizing data from The Movie DB and CDC National Vital Statistics, a strong positive correlation was observed, with a correlation coefficient of 0.8470780 and p < 0.01 for the years 1999 to 2021. The findings suggest that the presence of Elizabeth Olsen in movies may have a significant influence on the marriage rates in the District of Columbia. This unexpected association opens the door to further inquiries into the role of celebrity presence in societal trends, offering a novel perspective on the intersection of popular culture and demographic patterns. However, caution should be exercised in interpreting such correlations, as unobserved confounding factors may contribute to the association. Nonetheless, it is clear that the Olsens, through their cinematic endeavors, appear to have a curious, albeit intriguing, effect on the romantic pursuits of those residing in the nation's capital.

ChatGPT:

Elizabeth Olsen, filmography, marriage rates, District of Columbia, movies, celebrity influence, societal trends, popular culture, demographic patterns, celebrity presence, marriage statistics, cinema analysis, correlation study

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

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Data details

The number of movies Elizabeth Olsen appeared in
Source: The Movie DB
Additional Info: ^{See full details} Martha Marcy May Marlene (2011); Silent House (2011); In Secret (2013); Marvel Studios' 2021 Disney+ Day Special (2021); Very Good Girls (2013); Liberal Arts (2012); Oldboy (2013); Godzilla (2014); I Saw the Light (2016); Ingrid Goes West (2017); Peace, Love & Misunderstanding (2011); Wind River (2017); Doctor Strange in the Multiverse of Madness (2022); His Three Daughters (2023); Kodachrome (2017); The Adventures of Mary-Kate & Ashley: The Case of the Mystery Cruise (1995); The Adventures of Mary-Kate & Ashley: The Case of Thorn Mansion (1994); The Adventures of Mary-Kate & Ashley: The Case of the U.S. Space Camp Mission (1996); The Adventures of Mary-Kate & Ashley: The Case of the Christmas Caper (1995); Red Lights (2012); How the West Was Fun (1994); Our First Video (1993); Godzilla: Force of Nature (2014); Captain America: Civil War (2016); Kill Your Darlings (2013); Avengers: Age of Ultron (2015); Avengers: Infinity War (2018); Marvel Studios Assembled: The Making of Doctor Strange in the Multiverse of Madness (2022); Chadwick Boseman: A Tribute for a King (2020); Celebrating Marvel's Stan Lee (2019); Avengers: Endgame (2019); Marvel Studios: Expanding the Universe (2019); Captain America: The Winter Soldier (2014)

See what else correlates with The number of movies Elizabeth Olsen appeared in

The marriage rate in District of Columbia
Source: CDC National Vital Statistics
See what else correlates with The marriage rate in District of Columbia

Correlation r = 0.8470780 (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 = 0.7175412 (Coefficient of determination)
This means 71.8% of the change in the one variable (i.e., The marriage rate in District of Columbia) is predictable based on the change in the other (i.e., The number of movies Elizabeth Olsen appeared in) over the 23 years from 1999 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.4E-7.^Show 0.0000003432440271427167000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.85 in 3.4E-5% of random cases. Said differently, if you correlated 2,913,379 random variables^Note You don't actually need 2 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 22 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 22 because we have two variables measured over a period of 23 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.

[ 0.67, 0.93 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
The number of movies Elizabeth Olsen appeared in (Movie appearances)	0	0	0	0	0	0	0	0	0	0	0	0	3	2	4	3	1	2	3	1	3	1	1
The marriage rate in District of Columbia (Marriage rate)	6.6	4.9	6.2	5.1	5.1	5.2	4.1	4	4.2	4.1	4.7	7.6	8.7	8.4	10.7913	11.8213	8.22043	8.14921	8.23953	7.83538	7.7733	6.54026	7.30543

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.
Outlandish outliers: There are "outliers" in this data.^Note 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. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0,0,0,0,0,0,0,0,0,0,0,0,3,2,4,3,1,2,3,1,3,1,1,])
array_2 = np.array([6.6,4.9,6.2,5.1,5.1,5.2,4.1,4,4.2,4.1,4.7,7.6,8.7,8.4,10.7913,11.8213,8.22043,8.14921,8.23953,7.83538,7.7733,6.54026,7.30543,])
array_1_name = "The number of movies Elizabeth Olsen appeared in"
array_2_name = "The marriage rate in District of Columbia"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only The number of movies Elizabeth Olsen appeared in
Line chart for only The marriage rate in District of Columbia
AI-generated correlation image
The spurious research paper: The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia

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Correlation ID: 5873 · Black Variable ID: 26664 · Red Variable ID: 19746


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