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AI explanation
As more engineers entered the workforce, they engineered a higher demand for crime scene analysis equipment, leading to an uptick in forensic science technician positions in Michigan. This created a positive feedback loop, as the technicians were able to uncover evidence of even more engineering-related shenanigans, prompting the need for additional forensic expertise. It's a tale of academic achievement leading to a boom in engineering-enhanced crime detection, ultimately culminating in a riveting saga of solving perplexing cases of technical tomfoolery!
Model: dalle-3
Prompt: Generate an image of a futuristic scene in a modern office building in Michigan. The image should depict a group of engineers dressed in their graduation gowns celebrating with their Bachelor's degrees in Engineering. They toss their graduation caps into the air in jubilation. As this unfolds, a team of forensic science technicians enters the building, ready to investigate the disappearance of the office snacks. The overall atmosphere should exude a combination of accomplishment and mystery, blending the joy of the engineers with the serious resolve of the forensic team. 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: Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan. 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: Hyper-realistic Voxel art An image that looks like it is a scene from A Disney Movie Cute 2D animation Futuristic
ChatGPT: Futuristic
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 Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan, in the following situation: Because as more engineers enter the workforce, there's an increased demand for forensic science technicians to investigate the mysterious disappearance of office snacks.. Keep the description simple.
ChatGPT: In a modern office building in Michigan, a group of engineers in their graduation gowns celebrate with their Bachelor's degrees in Engineering. As they toss their graduation caps into the air, a team of forensic science technicians are seen entering the building, ready to investigate the disappearance of the office snacks.
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: [ Futuristic ] and depicting this scene: In a modern office building in Michigan, a group of engineers in their graduation gowns celebrate with their Bachelor's degrees in Engineering. As they toss their graduation caps into the air, a team of forensic science technicians are seen entering the building, ready to investigate the disappearance of the office snacks. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic scene in a modern office building in Michigan. The image should depict a group of engineers dressed in their graduation gowns celebrating with their Bachelor's degrees in Engineering. They toss their graduation caps into the air in jubilation. As this unfolds, a team of forensic science technicians enters the building, ready to investigate the disappearance of the office snacks. The overall atmosphere should exude a combination of accomplishment and mystery, blending the joy of the engineers with the serious resolve of the forensic team.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Bachelor's degrees awarded in Engineering caused The number of forensic science technicians in Michigan to increase.
AI academic paper
 |
Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan The Journal of Interdisciplinary Forensic Engineering and Technological Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Rhyme words in the title.
Your research team used data from National Center for Education Statistics and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.9750041 and p < 0.01 for 2012 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan
[[ABSTRACT]]
This paper delves into the surprising connection between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in the ever-surprising state of Michigan. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team attempted to solve the enigma of this relationship. Our findings revealed a correlation coefficient of 0.9750041 and a p-value less than 0.01 for the period spanning 2012 to 2021. While initially the connection between these two seemingly disparate fields may seem puzzling, the results shed light on the intertwined nature of education and occupational trends. This research paper seeks to illuminate not only the statistical association but also the potential implications for academic and vocational pathways, all while injecting a dash of academic humor.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan
[[ABSTRACT]]
This paper delves into the surprising connection between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in the ever-surprising state of Michigan. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team attempted to solve the enigma of this relationship. Our findings revealed a correlation coefficient of 0.9750041 and a p-value less than 0.01 for the period spanning 2012 to 2021. While initially the connection between these two seemingly disparate fields may seem puzzling, the results shed light on the intertwined nature of education and occupational trends. This research paper seeks to illuminate not only the statistical association but also the potential implications for academic and vocational pathways, all while injecting a dash of academic humor.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The world of higher education and occupational trajectories is a captivating web of connections, correlations, and causations. In the grand tapestry of academic majors and career paths, one might not immediately envision a direct link between the riveting world of Engineering and the enigmatic realm of forensic science. Yet, as we dive into the data, we peel back the layers of this academic onion to reveal the surprising relationships that lie beneath. Our investigation leads us to the state of Michigan, a place known for its diverse industries, Great Lakes, and undeniably unpredictable weather patterns. Within this ever-changing landscape, we sought to unravel the relationship between the number of Engineering degrees conferred and the employment of forensic science technicians.
As we forge ahead in this intellectual adventure, it is imperative to acknowledge the intricate dance of data, trends, and statistical analysis that awaits us. While the connection may initially seem as unlikely as wearing a lab coat to a mechanical engineering conference, our study unleashes the power of statistical scrutiny upon this peculiar pairing. With a sense of intellectual curiosity and a touch of academic whimsy, we aim to shed light on the correlation discovered between these two domains, all while maintaining a healthy appreciation for the unexpected twists and turns that the academic journey often presents.
Stay tuned as we plunge into the statistical seas and navigate the complex currents of educational pathways and occupational landscapes. Our findings are sure to provoke contemplation, appreciation, and quite possibly a chuckle or two along the way.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan. 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 the backs of shampoo bottles.
Here is the title and abstract of the paper:
[[TITLE]]
Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan
[[ABSTRACT]]
This paper delves into the surprising connection between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in the ever-surprising state of Michigan. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team attempted to solve the enigma of this relationship. Our findings revealed a correlation coefficient of 0.9750041 and a p-value less than 0.01 for the period spanning 2012 to 2021. While initially the connection between these two seemingly disparate fields may seem puzzling, the results shed light on the intertwined nature of education and occupational trends. This research paper seeks to illuminate not only the statistical association but also the potential implications for academic and vocational pathways, all while injecting a dash of academic humor.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The world of higher education and occupational trajectories is a captivating web of connections, correlations, and causations. In the grand tapestry of academic majors and career paths, one might not immediately envision a direct link between the riveting world of Engineering and the enigmatic realm of forensic science. Yet, as we dive into the data, we peel back the layers of this academic onion to reveal the surprising relationships that lie beneath. Our investigation leads us to the state of Michigan, a place known for its diverse industries, Great Lakes, and undeniably unpredictable weather patterns. Within this ever-changing landscape, we sought to unravel the relationship between the number of Engineering degrees conferred and the employment of forensic science technicians.
As we forge ahead in this intellectual adventure, it is imperative to acknowledge the intricate dance of data, trends, and statistical analysis that awaits us. While the connection may initially seem as unlikely as wearing a lab coat to a mechanical engineering conference, our study unleashes the power of statistical scrutiny upon this peculiar pairing. With a sense of intellectual curiosity and a touch of academic whimsy, we aim to shed light on the correlation discovered between these two domains, all while maintaining a healthy appreciation for the unexpected twists and turns that the academic journey often presents.
Stay tuned as we plunge into the statistical seas and navigate the complex currents of educational pathways and occupational landscapes. Our findings are sure to provoke contemplation, appreciation, and quite possibly a chuckle or two along the way.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The authors conducted a thorough survey of existing literature related to the correlation between the conferral of Bachelor's degrees in Engineering and the employment of forensic science technicians, particularly within the state of Michigan. Our exploration commenced with a review of seminal works by Smith, Doe, and Jones, who delved into the broader scope of educational and occupational trends. Their in-depth analyses provided a foundational understanding of the complexities inherent in the intersection of diverse academic disciplines and professional pursuits.
Furthermore, "Statistics in STEM Education" by Lorem and Ipsum elucidated the statistical methodologies essential for discerning meaningful associations between educational achievements and labor force trends. The authors find that employing robust statistical models is paramount in uncovering the underlying relationships between seemingly incongruent fields. Moreover, "Trends in Career Pathways" by Smithson and Johnson shed light on the evolving dynamics of occupational choices, emphasizing the need for interdisciplinary perspectives in understanding the fluidity of career trajectories.
Expanding beyond traditional research literature, the authors delved into non-fiction works such as "The Engineering Handbook" and "Fundamentals of Forensic Science" to glean insights from experts in the respective fields. These resources provided a comprehensive understanding of the foundational principles and practical applications within Engineering and forensic science, offering valuable context for our investigation.
Venturing into the realm of fiction literature, the authors perused works such as "Engineering Mysteries" and "Forensic Fables," although, admittedly, the insights gained from these imaginative tales were more whimsical than empirical. Nevertheless, the exploration of fictional narratives served to infuse a sense of creativity and levity into our scholarly endeavors, keeping our spirits high amidst the rigors of academic inquiry.
In addition to traditional sources, the authors humorously entertained the notion of unconventional data collection methods, with one member of the research team jestingly suggesting that the backs of shampoo bottles may hold the key to unraveling the enigmatic connection between Engineering degrees and forensic science technicians in Michigan. While this suggestion was met with collective amusement, it underscored the team's commitment to maintaining a lighthearted perspective amidst the rigors of academic inquiry.
With our literature review serving as a springboard for our own empirical exploration, we embark on our own statistical odyssey, armed with a plethora of insights and a hint of academic humor to guide our path.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Bureau of Larbor Statistics . You used data from 2012 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]]
Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan
[[ABSTRACT]]
This paper delves into the surprising connection between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in the ever-surprising state of Michigan. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team attempted to solve the enigma of this relationship. Our findings revealed a correlation coefficient of 0.9750041 and a p-value less than 0.01 for the period spanning 2012 to 2021. While initially the connection between these two seemingly disparate fields may seem puzzling, the results shed light on the intertwined nature of education and occupational trends. This research paper seeks to illuminate not only the statistical association but also the potential implications for academic and vocational pathways, all while injecting a dash of academic humor.
[[INTRODUCTION]]
The world of higher education and occupational trajectories is a captivating web of connections, correlations, and causations. In the grand tapestry of academic majors and career paths, one might not immediately envision a direct link between the riveting world of Engineering and the enigmatic realm of forensic science. Yet, as we dive into the data, we peel back the layers of this academic onion to reveal the surprising relationships that lie beneath. Our investigation leads us to the state of Michigan, a place known for its diverse industries, Great Lakes, and undeniably unpredictable weather patterns. Within this ever-changing landscape, we sought to unravel the relationship between the number of Engineering degrees conferred and the employment of forensic science technicians.
As we forge ahead in this intellectual adventure, it is imperative to acknowledge the intricate dance of data, trends, and statistical analysis that awaits us. While the connection may initially seem as unlikely as wearing a lab coat to a mechanical engineering conference, our study unleashes the power of statistical scrutiny upon this peculiar pairing. With a sense of intellectual curiosity and a touch of academic whimsy, we aim to shed light on the correlation discovered between these two domains, all while maintaining a healthy appreciation for the unexpected twists and turns that the academic journey often presents.
Stay tuned as we plunge into the statistical seas and navigate the complex currents of educational pathways and occupational landscapes. Our findings are sure to provoke contemplation, appreciation, and quite possibly a chuckle or two along the way.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To untangle the fascinating relationship between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in Michigan, our research team embarked on a data-driven odyssey spanning the years 2012 to 2021. Our methodology involved a meticulous fusion of data collection, statistical analysis, and a sprinkling of whimsy to keep our spirits high amidst the labyrinth of numerical computations.
Data Sources:
We delved into the vast digital expanse, traversing the virtual terrain of the National Center for Education Statistics and the Bureau of Labor Statistics to procure the necessary datasets. With the dexterity of digital archaeologists, we excavated the pertinent information, sifting through the virtual sands to uncover the quantitative gems that would fuel our investigation.
Engineering Degrees:
The number of Bachelor's degrees awarded in Engineering was derived from the annals of the National Center for Education Statistics, where the data gleamed like polished engineering blueprints awaiting inspection. This information encompassed the sum of degrees conferred within the boundaries of Michigan, capturing the ebbs and flows of educational achievements in the domain of Engineering.
Forensic Science Technicians:
Meanwhile, the employment figures for forensic science technicians in Michigan were culled from the Bureau of Labor Statistics, providing a panoramic view of the occupational landscape within the state. Similar to a forensic investigation, we meticulously examined these employment statistics to discern patterns, trends, and potentially surprising correlations.
Statistical Analysis:
In a bid to illuminate the interplay between these seemingly disparate datasets, we applied the rigorous framework of correlation analysis. With bated breath and calculators at the ready, we computed the correlation coefficient and its corresponding p-value to discern the strength and significance of any observed relationship. Our research team huddled around the data, engaging in in-depth discussions punctuated by the occasional witticism, to dissect the statistical nuances that emerged from this intricate dance of numbers.
The Human Factor:
It is essential to note that amidst the rigidity of statistical methodologies, our research endeavor remained infused with the human element. The collaborative exchange of ideas, the occasional bout of data-induced head-scratching, and the shared moments of statistical enlightenment all contributed to the tapestry of our investigation.
In summary, our research methodology involved a harmonious blend of data acquisition, statistical analysis, and the embrace of intellectual curiosity. While the pursuit of knowledge is often portrayed as a dry and solemn endeavor, we endeavored to infuse our methodology with a pinch of academic levity and a touch of statistical panache. Together, these elements coalesced to unravel the unexpected connections between Engineering degrees and the employment of forensic science technicians in the ever-intriguing state of Michigan.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Bureau of Larbor Statistics .
For the time period 2012 to 2021, you found a correlation 0.9750041, r-squared of 0.9506329, 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]]
Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan
[[ABSTRACT]]
This paper delves into the surprising connection between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in the ever-surprising state of Michigan. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team attempted to solve the enigma of this relationship. Our findings revealed a correlation coefficient of 0.9750041 and a p-value less than 0.01 for the period spanning 2012 to 2021. While initially the connection between these two seemingly disparate fields may seem puzzling, the results shed light on the intertwined nature of education and occupational trends. This research paper seeks to illuminate not only the statistical association but also the potential implications for academic and vocational pathways, all while injecting a dash of academic humor.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The world of higher education and occupational trajectories is a captivating web of connections, correlations, and causations. In the grand tapestry of academic majors and career paths, one might not immediately envision a direct link between the riveting world of Engineering and the enigmatic realm of forensic science. Yet, as we dive into the data, we peel back the layers of this academic onion to reveal the surprising relationships that lie beneath. Our investigation leads us to the state of Michigan, a place known for its diverse industries, Great Lakes, and undeniably unpredictable weather patterns. Within this ever-changing landscape, we sought to unravel the relationship between the number of Engineering degrees conferred and the employment of forensic science technicians.
As we forge ahead in this intellectual adventure, it is imperative to acknowledge the intricate dance of data, trends, and statistical analysis that awaits us. While the connection may initially seem as unlikely as wearing a lab coat to a mechanical engineering conference, our study unleashes the power of statistical scrutiny upon this peculiar pairing. With a sense of intellectual curiosity and a touch of academic whimsy, we aim to shed light on the correlation discovered between these two domains, all while maintaining a healthy appreciation for the unexpected twists and turns that the academic journey often presents.
Stay tuned as we plunge into the statistical seas and navigate the complex currents of educational pathways and occupational landscapes. Our findings are sure to provoke contemplation, appreciation, and quite possibly a chuckle or two along the way.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data collected from the National Center for Education Statistics and the Bureau of Labor Statistics from 2012 to 2021 yielded some intriguing results regarding the relationship between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in Michigan. After delving into the statistical abyss, we found a remarkably strong correlation coefficient of 0.9750041 between these two variables, with an r-squared value of 0.9506329 and a p-value less than 0.01. It seems that the connection between these two fields is as tight as a well-engineered bolt!
The scatterplot in Fig. 1 clearly illustrates the robust positive correlation, showcasing the intertwining nature of these seemingly unrelated domains. The data points form a nearly linear pattern, emphasizing the strong association between the number of Engineering degrees and the employment of forensic science technicians. It seems that the path to forensic science in Michigan may indeed be paved with engineering degrees!
Our research uncovered this significant correlation, highlighting the interconnectedness of academic pursuits and occupational outcomes. It appears that a background in Engineering may pave the way for a fruitful career in forensic science in the Great Lakes State. This unexpected connection serves as a testament to the complexity and unpredictability of career pathways, providing food for thought and a healthy dose of statistical amusement.
In summary, our findings shed light on the unexpectedly strong relationship between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in Michigan. This discovery not only adds a touch of statistical charm to the academic landscape but also offers valuable insights into the potential intersections of educational and vocational trajectories. It seems that in the world of correlation, there's always a surprise waiting around the corner, much like the ever-erratic Michigan weather.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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]]
Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan
[[ABSTRACT]]
This paper delves into the surprising connection between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in the ever-surprising state of Michigan. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team attempted to solve the enigma of this relationship. Our findings revealed a correlation coefficient of 0.9750041 and a p-value less than 0.01 for the period spanning 2012 to 2021. While initially the connection between these two seemingly disparate fields may seem puzzling, the results shed light on the intertwined nature of education and occupational trends. This research paper seeks to illuminate not only the statistical association but also the potential implications for academic and vocational pathways, all while injecting a dash of academic humor.
[[LITERATURE REVIEW]]
The authors conducted a thorough survey of existing literature related to the correlation between the conferral of Bachelor's degrees in Engineering and the employment of forensic science technicians, particularly within the state of Michigan. Our exploration commenced with a review of seminal works by Smith, Doe, and Jones, who delved into the broader scope of educational and occupational trends. Their in-depth analyses provided a foundational understanding of the complexities inherent in the intersection of diverse academic disciplines and professional pursuits.
Furthermore, "Statistics in STEM Education" by Lorem and Ipsum elucidated the statistical methodologies essential for discerning meaningful associations between educational achievements and labor force trends. The authors find that employing robust statistical models is paramount in uncovering the underlying relationships between seemingly incongruent fields. Moreover, "Trends in Career Pathways" by Smithson and Johnson shed light on the evolving dynamics of occupational choices, emphasizing the need for interdisciplinary perspectives in understanding the fluidity of career trajectories.
Expanding beyond traditional research literature, the authors delved into non-fiction works such as "The Engineering Handbook" and "Fundamentals of Forensic Science" to glean insights from experts in the respective fields. These resources provided a comprehensive understanding of the foundational principles and practical applications within Engineering and forensic science, offering valuable context for our investigation.
Venturing into the realm of fiction literature, the authors perused works such as "Engineering Mysteries" and "Forensic Fables," although, admittedly, the insights gained from these imaginative tales were more whimsical than empirical. Nevertheless, the exploration of fictional narratives served to infuse a sense of creativity and levity into our scholarly endeavors, keeping our spirits high amidst the rigors of academic inquiry.
In addition to traditional sources, the authors humorously entertained the notion of unconventional data collection methods, with one member of the research team jestingly suggesting that the backs of shampoo bottles may hold the key to unraveling the enigmatic connection between Engineering degrees and forensic science technicians in Michigan. While this suggestion was met with collective amusement, it underscored the team's commitment to maintaining a lighthearted perspective amidst the rigors of academic inquiry.
With our literature review serving as a springboard for our own empirical exploration, we embark on our own statistical odyssey, armed with a plethora of insights and a hint of academic humor to guide our path.
[[RESULTS]]
The analysis of the data collected from the National Center for Education Statistics and the Bureau of Labor Statistics from 2012 to 2021 yielded some intriguing results regarding the relationship between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in Michigan. After delving into the statistical abyss, we found a remarkably strong correlation coefficient of 0.9750041 between these two variables, with an r-squared value of 0.9506329 and a p-value less than 0.01. It seems that the connection between these two fields is as tight as a well-engineered bolt!
The scatterplot in Fig. 1 clearly illustrates the robust positive correlation, showcasing the intertwining nature of these seemingly unrelated domains. The data points form a nearly linear pattern, emphasizing the strong association between the number of Engineering degrees and the employment of forensic science technicians. It seems that the path to forensic science in Michigan may indeed be paved with engineering degrees!
Our research uncovered this significant correlation, highlighting the interconnectedness of academic pursuits and occupational outcomes. It appears that a background in Engineering may pave the way for a fruitful career in forensic science in the Great Lakes State. This unexpected connection serves as a testament to the complexity and unpredictability of career pathways, providing food for thought and a healthy dose of statistical amusement.
In summary, our findings shed light on the unexpectedly strong relationship between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in Michigan. This discovery not only adds a touch of statistical charm to the academic landscape but also offers valuable insights into the potential intersections of educational and vocational trajectories. It seems that in the world of correlation, there's always a surprise waiting around the corner, much like the ever-erratic Michigan weather.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our research has yielded some fascinating insights into the seemingly unlikely connection between Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in Michigan. The results of our study not only reaffirm previous findings but also uncover a compelling link between these two fields that brings a new dimension to the discourse on educational and occupational pathways.
Taking a lighthearted stroll through the literature review, we unearthed some amusing references that, although initially met with chuckles, ultimately contributed to our scholarly pursuits. Our examination of "Engineering Mysteries" and "Forensic Fables," while whimsical in nature, served as a whimsical reminder that sometimes truth can be stranger than fiction. Who would have thought that the plot twists in a detective novel could mirror the surprising correlation we uncovered?
Building upon the methodological guidance from Lorem and Ipsum's "Statistics in STEM Education," we meticulously employed robust statistical models to unravel this enigmatic relationship. It's like solving a riddle – except this time, the answer lay within correlation coefficients and p-values rather than ancient enigmas.
Our findings, characterized by a correlation coefficient of 0.9750041 and a minuscule p-value, serve as a testament to the unpredictability and intertwined nature of academic and occupational pursuits. It's akin to discovering a secret passage in a centuries-old castle – the connection is there, but it takes a keen eye to reveal it.
The visual representation of our results in Fig. 1 paints a vivid picture of the strong positive correlation, akin to a striking resemblance between two long-lost cousins. It's as if the employment of forensic science technicians is calling out to the world of Engineering, saying, "We're more related than you think!"
In closing, our research has not only solidified the association between Engineering degrees and the employment of forensic science technicians in Michigan but has also added a touch of statistical charm to the academic discourse. As our data unveils, in the realm of correlations, there's always room for unexpected connections and statistical surprises – much like stumbling upon a hidden treasure map in the annals of academic research.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Engineering and The number of forensic science technicians in Michigan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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]]
Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan
[[ABSTRACT]]
This paper delves into the surprising connection between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in the ever-surprising state of Michigan. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team attempted to solve the enigma of this relationship. Our findings revealed a correlation coefficient of 0.9750041 and a p-value less than 0.01 for the period spanning 2012 to 2021. While initially the connection between these two seemingly disparate fields may seem puzzling, the results shed light on the intertwined nature of education and occupational trends. This research paper seeks to illuminate not only the statistical association but also the potential implications for academic and vocational pathways, all while injecting a dash of academic humor.
[[INTRDUCTION]]
The world of higher education and occupational trajectories is a captivating web of connections, correlations, and causations. In the grand tapestry of academic majors and career paths, one might not immediately envision a direct link between the riveting world of Engineering and the enigmatic realm of forensic science. Yet, as we dive into the data, we peel back the layers of this academic onion to reveal the surprising relationships that lie beneath. Our investigation leads us to the state of Michigan, a place known for its diverse industries, Great Lakes, and undeniably unpredictable weather patterns. Within this ever-changing landscape, we sought to unravel the relationship between the number of Engineering degrees conferred and the employment of forensic science technicians.
As we forge ahead in this intellectual adventure, it is imperative to acknowledge the intricate dance of data, trends, and statistical analysis that awaits us. While the connection may initially seem as unlikely as wearing a lab coat to a mechanical engineering conference, our study unleashes the power of statistical scrutiny upon this peculiar pairing. With a sense of intellectual curiosity and a touch of academic whimsy, we aim to shed light on the correlation discovered between these two domains, all while maintaining a healthy appreciation for the unexpected twists and turns that the academic journey often presents.
Stay tuned as we plunge into the statistical seas and navigate the complex currents of educational pathways and occupational landscapes. Our findings are sure to provoke contemplation, appreciation, and quite possibly a chuckle or two along the way.
[[RESULTS]]
The analysis of the data collected from the National Center for Education Statistics and the Bureau of Labor Statistics from 2012 to 2021 yielded some intriguing results regarding the relationship between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in Michigan. After delving into the statistical abyss, we found a remarkably strong correlation coefficient of 0.9750041 between these two variables, with an r-squared value of 0.9506329 and a p-value less than 0.01. It seems that the connection between these two fields is as tight as a well-engineered bolt!
The scatterplot in Fig. 1 clearly illustrates the robust positive correlation, showcasing the intertwining nature of these seemingly unrelated domains. The data points form a nearly linear pattern, emphasizing the strong association between the number of Engineering degrees and the employment of forensic science technicians. It seems that the path to forensic science in Michigan may indeed be paved with engineering degrees!
Our research uncovered this significant correlation, highlighting the interconnectedness of academic pursuits and occupational outcomes. It appears that a background in Engineering may pave the way for a fruitful career in forensic science in the Great Lakes State. This unexpected connection serves as a testament to the complexity and unpredictability of career pathways, providing food for thought and a healthy dose of statistical amusement.
In summary, our findings shed light on the unexpectedly strong relationship between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in Michigan. This discovery not only adds a touch of statistical charm to the academic landscape but also offers valuable insights into the potential intersections of educational and vocational trajectories. It seems that in the world of correlation, there's always a surprise waiting around the corner, much like the ever-erratic Michigan weather.
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Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In the labyrinth of academic and occupational intertwining, our research has unveiled an intriguing association between the conferral of Bachelor's degrees in Engineering and the employment of forensic science technicians in the charming state of Michigan. The robust correlation coefficient of 0.9750041, akin to the strength of a bridge engineered to withstand the test of time, along with a tantalizingly low p-value, has illuminated a connection as clear as the waters of Lake Michigan on a cloudless day.
The strong statistical relationship we've unearthed between these seemingly disparate fields serves as a reminder that in the realm of data analysis, truth can indeed be stranger than fiction. Our findings may seem as unexpected as stumbling upon a forensic investigator in a room full of engineers, yet they underscore the intricate web of educational pursuits and professional outcomes.
As we close this chapter of statistical exploration, it becomes evident that the journey of knowledge acquisition is rife with unexpected detours and surprising vistas. Our work provides not only a statistical snapshot of this captivating correlation but also a sprinkle of intellectual humor to accompany the revelations.
In light of our findings, one might be tempted to say that those aspiring to tread the path of forensic science in Michigan should consider engineering a firm foundation for their career aspirations. Yet, as our research has proven, the academic and vocational realms are rife with unexpected connections and delightful surprises, akin to stumbling upon a hidden gem amidst the bustling streets of Detroit.
In conclusion, our research holds a mirror to the whimsical dance of academic and occupational pursuits, serving as a testament to the enchanting complexities of human endeavors. It is our hope that this study not only sparks contemplation but also elicits a chuckle or two, much like a good jest shared amongst colleagues over a cup of coffee.
Indeed, it seems that the enigmatic relationship between the conferral of Bachelor's degrees in Engineering and the employment of forensic science technicians in Michigan has been deciphered, leaving little room for further inquiry. As such, we assert with confidence that no more research is needed in this area, and bid adieu to this captivating conundrum.
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 Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Interdisciplinary Forensic Engineering and Technological 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 Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Advanced Technological Studies and Analysis
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 Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan with an abstract of This paper delves into the surprising connection between the number of Bachelor's degrees awarded in Engineering and the employment of forensic science technicians in the ever-surprising state of Michigan. Using data from the National Center for Education Statistics and the Bureau of Labor Statistics, our research team attempted to solve the enigma of this relationship. Our findings revealed a correlation coefficient of 0.9750041 and a p-value less than 0.01 for the period spanning 2012 to 2021. While initially the connection between these two seemingly disparate fields may seem puzzling, the results shed light on the intertwined nature of education and occupational trends. This research paper seeks to illuminate not only the statistical association but also the potential implications for academic and vocational pathways, all while injecting a dash of academic humor.
ChatGPT:
engineering degrees, forensic science technicians, Michigan, National Center for Education Statistics, Bureau of Labor Statistics, correlation coefficient, p-value, academic pathways, vocational pathways, occupational trends
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Bachelor's degrees awarded in EngineeringDetailed data title: Bachelor's degrees conferred by postsecondary institutions, in field of study: Engineering
Source: National Center for Education Statistics
See what else correlates with Bachelor's degrees awarded in Engineering
The number of forensic science technicians in Michigan
Detailed data title: BLS estimate of forensic science technicians in Michigan
Source: Bureau of Larbor Statistics
See what else correlates with The number of forensic science technicians in Michigan
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 = 0.9506329 (Coefficient of determination)
This means 95.1% of the change in the one variable (i.e., The number of forensic science technicians in Michigan) is predictable based on the change in the other (i.e., Bachelor's degrees awarded in Engineering) over the 10 years from 2012 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.7E-6. 0.0000016571773885530603000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.98 in 0.00017% of random cases. Said differently, if you correlated 603,436 random variables You don't actually need 603 thousand 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 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.
[ 0.89, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Bachelor's degrees awarded in Engineering (Degrees awarded) | 81371 | 85987 | 92169 | 97852 | 106789 | 115671 | 121953 | 126692 | 128337 | 126037 |
| The number of forensic science technicians in Michigan (Laborers) | 190 | 180 | 190 | 230 | 270 | 330 | 330 | 360 | 410 | 390 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([81371,85987,92169,97852,106789,115671,121953,126692,128337,126037,])
array_2 = np.array([190,180,190,230,270,330,330,360,410,390,])
array_1_name = "Bachelor's degrees awarded in Engineering"
array_2_name = "The number of forensic science technicians in Michigan"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Bachelor's degrees awarded in Engineering
- Line chart for only The number of forensic science technicians in Michigan
- AI-generated correlation image
- The spurious research paper: Crunching Numbers: The Link Between Engineering Degrees and Forensic Technicians in Michigan
Cheers to you for rating this correlation!
Correlation ID: 3274 · Black Variable ID: 1273 · Red Variable ID: 9628
