Spurious correlation #1,955 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in linguistics and the second variable is Electricity generation in Angola. The chart goes from 2011 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in linguistics and the second variable is Electricity generation in Angola. The chart goes from 2011 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As more people became fluent in foreign languages, they started to crack ancient linguistic codes hidden in Angolan texts. These codes, when deciphered, actually revealed a secret, highly efficient method of generating electricity using only the power of words. The language enthusiasts formed a translation team, and as they translated and studied these texts, they accidentally stumbled upon the 'shocking' linguistic power of Angolan literature, sparking a surge in electricity generation across the country. It turns out, in Angola, the real 'power' doesn't just lie in the words themselves, but in the electrifying knowledge of foreign languages and linguistics.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image using the "Cyber folk" style, depicting a group of students proudly holding their Associate degrees in Foreign languages, literatures, and linguistics gathering around a modern hydroelectric dam in Angola. The setting should showcase the students discussing how their language skills will help them communicate with international partners to further advance Angola's renewable energy initiatives. The image should capture the futuristic and technologically advanced aspect of the dam while also reflecting the students' enthusiasm and dedication to contributing to sustainable energy development. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Associates degrees awarded in Foreign languages, literatures, and linguistics and Electricity generation in Angola. 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: Cyber folk Cybernetic art Hyper-realistic Cutsy graphics Hyper-realistic
ChatGPT: Cyber folk

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Associates degrees awarded in Foreign languages, literatures, and linguistics and Electricity generation in Angola together. Keep the description simple.
ChatGPT: A group of students proudly holding their Associate degrees in Foreign languages, literatures, and linguistics gather around a modern hydroelectric dam in Angola. The sound of rushing water and the hum of electricity being generated fill the air as the students discuss how their language skills will help them communicate with international partners to further advance Angola's renewable energy initiatives.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Cyber folk ] and depicting this scene: A group of students proudly holding their Associate degrees in Foreign languages, literatures, and linguistics gather around a modern hydroelectric dam in Angola. The sound of rushing water and the hum of electricity being generated fill the air as the students discuss how their language skills will help them communicate with international partners to further advance Angola's renewable energy initiatives. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image using the "Cyber folk" style, depicting a group of students proudly holding their Associate degrees in Foreign languages, literatures, and linguistics gathering around a modern hydroelectric dam in Angola. The setting should showcase the students discussing how their language skills will help them communicate with international partners to further advance Angola's renewable energy initiatives. The image should capture the futuristic and technologically advanced aspect of the dam while also reflecting the students' enthusiasm and dedication to contributing to sustainable energy development.

*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 Associates degrees awarded in Foreign languages, literatures, and linguistics caused Electricity generation in Angola to increase.

AI academic paper

(Because p < 0.01)

Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola

The Journal of Linguistic Energy 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 Associates degrees awarded in Foreign languages, literatures, and linguistics and Electricity generation in Angola. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola

[[ABSTRACT]]
This study delves into the peculiar entanglement of two seemingly disparate domains: Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. Utilizing data from the National Center for Education Statistics and the Energy Information Administration, our research team endeavored to shed light on this enigmatic relationship. Through rigorous analysis, a striking correlation emerged, with a correlation coefficient of 0.9858676 and p < 0.01 noted for the period spanning from 2011 to 2021. The implications of this connection are indeed electrifying. This paper aims to power through the conventional academic discourse with a surge of unexpected revelations and amped-up insights, illuminating the electrifying undercurrents of linguistic pursuits and energy production in Angola.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The unearthing of unexpected correlations in the realm of academic research can be akin to stumbling upon a hidden treasure amid a sea of mundane findings. In the case of our investigation into the interplay between Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola, what initially appeared as a mere mirage amidst the statistical desert, soon evolved into a formidable force of fascination. We were struck by the curious convergence of linguistic expertise and electrical power, two spheres that seldom find themselves featured on the same wavelength.
At first glance, one might be inclined to dismiss the notion of any substantive link between the linguistic prowess of degree-holders and the generation of electricity. However, as we delved into the depths of the data, it became evident that this study was no mere exercise in futility. Rather, our exploration led us down a path brimming with unexpected twists and turns, ultimately illuminating the unforeseen interconnections lurking beneath the surface.
The choice of foreign languages, literatures, and linguistics as the educational focus of interest in this inquiry was a deliberate one. While some may regard language study as a field characterized by the ethereal and intangible, our investigation aimed to dispel such notions and highlight its tangible impact on a tangible aspect of Angolan society: electricity production.
Linguistic proficiency, similar to the generation of electricity, is often invoked as an abstract concept, with the currents of communication flowing unseen beneath the surface. However, our endeavor sought to unravel the threads binding linguistic knowledge to the electrical currents powering the infrastructure of Angola. The quest for knowledge was sparked by an intrinsic curiosity to decipher the unexpected congruence between the articulation of language and the generation of electrical power.
The currents of academia may at times seem staid and unyielding, but our research aims to inject a jolt of excitement into the scholarly discourse. This paper endeavors to shock the conventional wisdom by bringing to light the electrifying connection between linguistic pursuits and the production of electricity in Angola, demonstrating that statistical analysis can indeed spark captivating revelations in the most unexpected of places.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

A review of existing literature reveals a scarcity of research directly addressing the peculiar relationship between Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola. However, Smith (2015) and Doe (2018) have investigated the impact of language education on social and economic development, shedding some tangential light on the potential influences of linguistic expertise on broader societal dynamics. Jones (2019) explored the intersection of energy production and educational attainment in various contexts, offering insights applicable to the present inquiry.

Turning to non-fiction works, "The Power of Language: How Language Shapes Our Lives and Society" by Linguist McAuthor (2012) and "Watts in a Word: The Energy of Expression" by Professor Volt (2016) provide theoretical frameworks that may inform our understanding of the interplay between linguistic education and electricity generation. These texts, though not directly focused on the Angolan context, offer valuable perspectives on the potential synergy between language proficiency and the generation of electrical power.

Furthermore, fictional narratives such as "Electric Echoes: A Linguistic Odyssey" by Wordsworth (2014) and "Watt's Words: A Shocking Tale of Linguistic Energy" by Noveliste Stein (2017) add a creative dimension to our exploration, intertwining linguistic themes with the electrifying world of power generation. Despite their fictitious nature, these narratives underscore the intriguing potential for linguistic expertise to resonate with electrical dynamics, albeit in a metaphorical sense.

In addition to these scholarly and literary sources, the researchers embarked on an unconventional quest for insights, perusing an array of eclectic materials that included disparate sources ranging from ancient manuscripts on linguistic theory to contemporary pop culture references. Our investigation even delved into the enigmatic realm of grocery receipts and, somewhat unexpectedly, unearthed some startling parallels between Angolan electricity generation trends and the sale of bananas at local supermarkets, although these findings are deemed beyond the scope of this scholarly discussion.

In conclusion, while direct scholarly research on the connection between Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola is limited, diverse sources offer a glimpse into the potential synergies and unexpected intersections between linguistic pursuits and energy production. This eclectic array of literature sets the stage for our investigation into this unconventional yet electrifying nexus.

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 Associates degrees awarded in Foreign languages, literatures, and linguistics and Electricity generation in Angola. 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 National Center for Education Statistics and Energy Information Administration . You used data from 2011 to 2021

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola

[[ABSTRACT]]
This study delves into the peculiar entanglement of two seemingly disparate domains: Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. Utilizing data from the National Center for Education Statistics and the Energy Information Administration, our research team endeavored to shed light on this enigmatic relationship. Through rigorous analysis, a striking correlation emerged, with a correlation coefficient of 0.9858676 and p < 0.01 noted for the period spanning from 2011 to 2021. The implications of this connection are indeed electrifying. This paper aims to power through the conventional academic discourse with a surge of unexpected revelations and amped-up insights, illuminating the electrifying undercurrents of linguistic pursuits and energy production in Angola.

[[INTRODUCTION]]
The unearthing of unexpected correlations in the realm of academic research can be akin to stumbling upon a hidden treasure amid a sea of mundane findings. In the case of our investigation into the interplay between Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola, what initially appeared as a mere mirage amidst the statistical desert, soon evolved into a formidable force of fascination. We were struck by the curious convergence of linguistic expertise and electrical power, two spheres that seldom find themselves featured on the same wavelength.
At first glance, one might be inclined to dismiss the notion of any substantive link between the linguistic prowess of degree-holders and the generation of electricity. However, as we delved into the depths of the data, it became evident that this study was no mere exercise in futility. Rather, our exploration led us down a path brimming with unexpected twists and turns, ultimately illuminating the unforeseen interconnections lurking beneath the surface.
The choice of foreign languages, literatures, and linguistics as the educational focus of interest in this inquiry was a deliberate one. While some may regard language study as a field characterized by the ethereal and intangible, our investigation aimed to dispel such notions and highlight its tangible impact on a tangible aspect of Angolan society: electricity production.
Linguistic proficiency, similar to the generation of electricity, is often invoked as an abstract concept, with the currents of communication flowing unseen beneath the surface. However, our endeavor sought to unravel the threads binding linguistic knowledge to the electrical currents powering the infrastructure of Angola. The quest for knowledge was sparked by an intrinsic curiosity to decipher the unexpected congruence between the articulation of language and the generation of electrical power.
The currents of academia may at times seem staid and unyielding, but our research aims to inject a jolt of excitement into the scholarly discourse. This paper endeavors to shock the conventional wisdom by bringing to light the electrifying connection between linguistic pursuits and the production of electricity in Angola, demonstrating that statistical analysis can indeed spark captivating revelations in the most unexpected of places.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The present study employed a rigorous and meticulous approach to disentangle the perplexing association between Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola, utilizing data spanning from 2011 to 2021. The multifaceted methodology encompassed data collection, cleaning, and comprehensive statistical analysis.

Data on the number of Associates degrees awarded in foreign languages, literatures, and linguistics was obtained from the National Center for Education Statistics (NCES). The data was scrutinized to ensure accuracy and consistency, akin to the precision required for aligning electrical circuits. Meanwhile, information on electricity generation in Angola was sourced from the Energy Information Administration (EIA), allowing us to tap into the currents of energy production for our analysis.

The associative relationship between the two variables was examined using advanced statistical techniques, much like navigating through an intricate maze of linguistic nuances and electrical currents. Correlation coefficients and p-values were calculated to assess the strength and significance of the association, illuminating the voltage of the relationship between the pursuit of linguistic proficiency and the generation of electrical power.

In addition, time series analysis was conducted to investigate the temporal dynamics of the connection, probing into the flux and flow of linguistic education and electricity generation over the study period. This approach allowed us to capture the ebb and flow of the linguistic and electrical tides, akin to observing the rhythm of a pulsating conversation and the fluctuations of power generation.

Furthermore, a comparative analysis of different languages and their potential impact on electricity generation was conducted, akin to dissecting the distinct dialects of electrical currents. This involved evaluating the distribution of Associates degrees across various languages and examining the corresponding variations in electricity generation, shedding light on the potential influence of linguistic diversity on the generation of electrical power in Angola.

The methodological framework entailed a synergistic fusion of data mining, statistical probing, and linguistic-electrical cross-examination, serving as a testament to the electrifying complexities underlying the relationship between linguistic pursuits and electricity generation in Angola.

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 Associates degrees awarded in Foreign languages, literatures, and linguistics and Electricity generation in Angola. 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]]
Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola

[[ABSTRACT]]
This study delves into the peculiar entanglement of two seemingly disparate domains: Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. Utilizing data from the National Center for Education Statistics and the Energy Information Administration, our research team endeavored to shed light on this enigmatic relationship. Through rigorous analysis, a striking correlation emerged, with a correlation coefficient of 0.9858676 and p < 0.01 noted for the period spanning from 2011 to 2021. The implications of this connection are indeed electrifying. This paper aims to power through the conventional academic discourse with a surge of unexpected revelations and amped-up insights, illuminating the electrifying undercurrents of linguistic pursuits and energy production in Angola.

[[LITERATURE REVIEW]]
A review of existing literature reveals a scarcity of research directly addressing the peculiar relationship between Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola. However, Smith (2015) and Doe (2018) have investigated the impact of language education on social and economic development, shedding some tangential light on the potential influences of linguistic expertise on broader societal dynamics. Jones (2019) explored the intersection of energy production and educational attainment in various contexts, offering insights applicable to the present inquiry.
Turning to non-fiction works, "The Power of Language: How Language Shapes Our Lives and Society" by Linguist McAuthor (2012) and "Watts in a Word: The Energy of Expression" by Professor Volt (2016) provide theoretical frameworks that may inform our understanding of the interplay between linguistic education and electricity generation. These texts, though not directly focused on the Angolan context, offer valuable perspectives on the potential synergy between language proficiency and the generation of electrical power.
Furthermore, fictional narratives such as "Electric Echoes: A Linguistic Odyssey" by Wordsworth (2014) and "Watt's Words: A Shocking Tale of Linguistic Energy" by Noveliste Stein (2017) add a creative dimension to our exploration, intertwining linguistic themes with the electrifying world of power generation. Despite their fictitious nature, these narratives underscore the intriguing potential for linguistic expertise to resonate with electrical dynamics, albeit in a metaphorical sense.
In addition to these scholarly and literary sources, the researchers embarked on an unconventional quest for insights, perusing an array of eclectic materials that included disparate sources ranging from ancient manuscripts on linguistic theory to contemporary pop culture references. Our investigation even delved into the enigmatic realm of grocery receipts and, somewhat unexpectedly, unearthed some startling parallels between Angolan electricity generation trends and the sale of bananas at local supermarkets, although these findings are deemed beyond the scope of this scholarly discussion.
In conclusion, while direct scholarly research on the connection between Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola is limited, diverse sources offer a glimpse into the potential synergies and unexpected intersections between linguistic pursuits and energy production. This eclectic array of literature sets the stage for our investigation into this unconventional yet electrifying nexus.

[[RESULTS]]
The analysis of the data from the National Center for Education Statistics and the Energy Information Administration revealed a rather shocking revelation. The correlation coefficient between the number of Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola for the period from 2011 to 2021 was a striking 0.9858676, with an r-squared of 0.9719349, and a p-value less than 0.01. This astronomical correlation coefficient underscores the strong relationship between these two seemingly unrelated variables, prompting our team to conduct a thorough examination of this unexpected connection.
The figure (Fig. 1) exhibits the scatterplot depicting the robust correlation between the number of Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. The scatterplot visually captures the electrifying nature of this relationship, serving as a testament to the captivating synergy between linguistic pursuits and the generation of electrical power.
While conventional wisdom may dictate that these two domains are as dissimilar as night and day, our findings suggest that they are more intimately entwined than previously imagined. It seems that the current of linguistic expertise has a shocking impact on the electrical current flowing through the infrastructure of Angola, making this connection both electrifying and electrified.
In summary, the results of our analysis unequivocally point to a highly significant correlation between Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. This unexpected revelation has the potential to challenge traditional views and spark lively discussions within both academic and practical spheres.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our investigation undeniably bolster the findings of previous research, as we have uncovered a staggering correlation between the number of Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. The amusingly electrifying nature of this relationship has not only been theoretically substantiated by the works of Smith (2015) and Doe (2018), but the practical implications of linguistic expertise on energy production in Angola have also been quantitatively verified through our rigorous analysis. These findings not only confirm, but also amplify, the implications highlighted by Jones (2019), proving that the intersection of energy production and educational attainment holds significant relevance in the Angolan context. Such confirmation lends an air of undeniable credibility to the otherwise eyebrow-raising suppositions made by our esteemed fictional authors, Wordsworth (2014) and Noveliste Stein (2017), whose metaphorical musings have unexpectedly gained empirical merit.

The striking correlation coefficient of 0.9858676 highlights the undeniable interconnectedness of linguistic pursuits and electricity generation in Angola. This magnitude of correlation stands as a testament to the confounding yet captivating synergy between these ostensibly incongruous variables. Moreover, the robust r-squared value of 0.9719349 serves as a quantitative reminder that, despite the linguistic fluidity of foreign languages, literatures, and linguistics, their influence on electricity generation in Angola is far from linguistically ambiguous. It appears that the allure of words and the captivating current of electricity have indeed found themselves at an intriguing intersection where the wattage of linguistic expertise reverberates with the voltage of electrical power.

The scatterplot unveiled in our results (Fig. 1) visually encapsulates this electrifying relationship, providing a compelling pictorial representation of the sizzling synergy between language proficiency and the generation of electrical power. This visualization embodies the unexpected yet perennial attraction between these contrasting educational and energy domains, rendering the peculiar nexus between foreign language studies and electricity generation not just academically intriguing but visually striking as well.

In sum, the equivocal findings of our investigation have strikingly confirmed the unanticipated connections between linguistic expertise and energy production in Angola, suggesting that the pursuit of foreign language studies has a shocking impact on the country’s electrical dynamics. The hitherto unexplored synergy between these domains presents an electrifying opportunity for further interdisciplinary inquiry and paves the way for a current of discussion that is poised to spark lively exchange within academic and practical circles alike.

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 Associates degrees awarded in Foreign languages, literatures, and linguistics and Electricity generation in Angola. 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]]
Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola

[[ABSTRACT]]
This study delves into the peculiar entanglement of two seemingly disparate domains: Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. Utilizing data from the National Center for Education Statistics and the Energy Information Administration, our research team endeavored to shed light on this enigmatic relationship. Through rigorous analysis, a striking correlation emerged, with a correlation coefficient of 0.9858676 and p < 0.01 noted for the period spanning from 2011 to 2021. The implications of this connection are indeed electrifying. This paper aims to power through the conventional academic discourse with a surge of unexpected revelations and amped-up insights, illuminating the electrifying undercurrents of linguistic pursuits and energy production in Angola.

[[INTRDUCTION]]
The unearthing of unexpected correlations in the realm of academic research can be akin to stumbling upon a hidden treasure amid a sea of mundane findings. In the case of our investigation into the interplay between Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola, what initially appeared as a mere mirage amidst the statistical desert, soon evolved into a formidable force of fascination. We were struck by the curious convergence of linguistic expertise and electrical power, two spheres that seldom find themselves featured on the same wavelength.
At first glance, one might be inclined to dismiss the notion of any substantive link between the linguistic prowess of degree-holders and the generation of electricity. However, as we delved into the depths of the data, it became evident that this study was no mere exercise in futility. Rather, our exploration led us down a path brimming with unexpected twists and turns, ultimately illuminating the unforeseen interconnections lurking beneath the surface.
The choice of foreign languages, literatures, and linguistics as the educational focus of interest in this inquiry was a deliberate one. While some may regard language study as a field characterized by the ethereal and intangible, our investigation aimed to dispel such notions and highlight its tangible impact on a tangible aspect of Angolan society: electricity production.
Linguistic proficiency, similar to the generation of electricity, is often invoked as an abstract concept, with the currents of communication flowing unseen beneath the surface. However, our endeavor sought to unravel the threads binding linguistic knowledge to the electrical currents powering the infrastructure of Angola. The quest for knowledge was sparked by an intrinsic curiosity to decipher the unexpected congruence between the articulation of language and the generation of electrical power.
The currents of academia may at times seem staid and unyielding, but our research aims to inject a jolt of excitement into the scholarly discourse. This paper endeavors to shock the conventional wisdom by bringing to light the electrifying connection between linguistic pursuits and the production of electricity in Angola, demonstrating that statistical analysis can indeed spark captivating revelations in the most unexpected of places.

[[RESULTS]]
The analysis of the data from the National Center for Education Statistics and the Energy Information Administration revealed a rather shocking revelation. The correlation coefficient between the number of Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola for the period from 2011 to 2021 was a striking 0.9858676, with an r-squared of 0.9719349, and a p-value less than 0.01. This astronomical correlation coefficient underscores the strong relationship between these two seemingly unrelated variables, prompting our team to conduct a thorough examination of this unexpected connection.
The figure (Fig. 1) exhibits the scatterplot depicting the robust correlation between the number of Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. The scatterplot visually captures the electrifying nature of this relationship, serving as a testament to the captivating synergy between linguistic pursuits and the generation of electrical power.
While conventional wisdom may dictate that these two domains are as dissimilar as night and day, our findings suggest that they are more intimately entwined than previously imagined. It seems that the current of linguistic expertise has a shocking impact on the electrical current flowing through the infrastructure of Angola, making this connection both electrifying and electrified.
In summary, the results of our analysis unequivocally point to a highly significant correlation between Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. This unexpected revelation has the potential to challenge traditional views and spark lively discussions within both academic and practical spheres.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, the striking correlation we uncovered between the awarding of Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola evokes a veritable shockwave of speculation and curiosity. This unexpected entwining of linguistics and electricity production has sparked a surge of interest within the academic community, illuminating an electrifying undercurrent that defies conventional expectations.

The robust correlation coefficient, with a value as compelling as a gripping novel plot twist, has left us positively charged with enthusiasm about the potential implications of this connection. One might even say that this revelation has added a spark of excitement to the often dimly lit corridors of statistical analysis.

While our findings may seem as unexpected as a sudden jolt of electricity, they serve as a potent reminder of the tantalizing mysteries that lurk within the labyrinthine depths of data analysis. After all, who would have thought that the study of linguistic nuance could be so closely intertwined with the generation of electrical power in Angola? It appears that behind the seemingly inscrutable veil of statistical analysis, a captivating narrative is waiting to be uncovered.

Our research has indeed shed light on the electrifying relationship between linguistic pursuits and energy production in Angola, challenging preconceived notions and sparking lively discussions within academic and practical circles. It goes without saying that the implications of this connection are truly electrifying, making it a topic worthy of further exploration and dialogue.

In light of our groundbreaking findings, it seems that no more research is needed in this area. The connection between Associates degrees in foreign languages, literatures, and linguistics and electricity generation in Angola has been, dare we say, fully illuminated. It is safe to say that our research has certainly made a meaningful contribution to the electrifying field of unexpected statistical associations.

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 Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Linguistic Energy 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 Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola. Respond only with the name of a fictional organization.

ChatGPT:

The International Society for Linguistic Energy Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola with an abstract of This study delves into the peculiar entanglement of two seemingly disparate domains: Associates degrees awarded in foreign languages, literatures, and linguistics and electricity generation in Angola. Utilizing data from the National Center for Education Statistics and the Energy Information Administration, our research team endeavored to shed light on this enigmatic relationship. Through rigorous analysis, a striking correlation emerged, with a correlation coefficient of 0.9858676 and p < 0.01 noted for the period spanning from 2011 to 2021. The implications of this connection are indeed electrifying. This paper aims to power through the conventional academic discourse with a surge of unexpected revelations and amped-up insights, illuminating the electrifying undercurrents of linguistic pursuits and energy production in Angola.

ChatGPT:

"Associates degrees in foreign languages", "literatures and linguistics", "electricity generation in Angola", "correlation between education and electricity", "National Center for Education Statistics", "Energy Information Administration", "correlation coefficient", "linguistic pursuits and energy production", "relationship between education and energy"

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

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Data details

Associates degrees awarded in linguistics
Detailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Foreign languages, literatures, and linguistics
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in linguistics

Electricity generation in Angola
Detailed data title: Total electricity generation in Angola in billion kWh
Source: Energy Information Administration
See what else correlates with Electricity generation in Angola

Correlation r = 0.9858676 (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 = 0.9719349 (Coefficient of determination)
This means 97.2% of the change in the one variable (i.e., Electricity generation in Angola) is predictable based on the change in the other (i.e., Associates degrees awarded in linguistics) over the 11 years from 2011 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.7E-8.^Show 0.0000000272006863917644730000
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 0.99 in 2.7E-6% of random cases. Said differently, if you correlated 36,763,778 random variables^Note You don't actually need 36 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 10 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.94, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Associates degrees awarded in linguistics (Degrees awarded)	1888	1980	2131	2284	2102	2208	2363	2607	2798	2917	2876
Electricity generation in Angola (Billion kWh)	5.52336	6.03408	7.97606	9.21666	9.30914	10.2035	10.676	12.8319	15.4	16.6	16.4294

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.

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([1888,1980,2131,2284,2102,2208,2363,2607,2798,2917,2876,])
array_2 = np.array([5.52336,6.03408,7.97606,9.21666,9.30914,10.2035,10.676,12.8319,15.4,16.6,16.4294,])
array_1_name = "Associates degrees awarded in linguistics"
array_2_name = "Electricity generation in Angola"

# 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
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Line chart for only Associates degrees awarded in linguistics
Line chart for only Electricity generation in Angola
AI-generated correlation image
The spurious research paper: Voltage and Verbiage: A Shocking Connection Between Associates Degrees in Foreign Languages, Literatures, and Linguistics and Electricity Generation in Angola

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Correlation ID: 1955 · Black Variable ID: 1228 · Red Variable ID: 23452


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