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Spurious correlation #3,938 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Biomass power generated in Madagascar and the second variable is ORIX Corporation's stock price (IX).  The chart goes from 2010 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As Madagascar embraced Biomass power, they inadvertently unleashed a surge of lemurs on hamster wheels generating energy. This feat of adorable productivity boosted global morale, leading to an overall increase in the stock market, including ORIX Corporation's stock price. It's a classic case of 'lemuronomics' - where the cuteness factor directly impacts financial success!

Model: dalle-3
Prompt: Generate an image in the style of 3D Pixar depicting a vibrant forest in Madagascar, where workers are harvesting biomass to generate power. Among the bustling activity, a group of adorable lemurs, the mascot for the ORIX Corporation, are joyfully swinging from branch to branch. Above the forest canopy, display the surging stock price for the ORIX Corporation (IX) on a digital display. Be sure to convey the hustle and bustle of the workers, the lushness of the forest, and the playful nature of the lemurs while showcasing the upward surge of the stock price in a visually captivating manner. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Biomass power generated in Madagascar and ORIX Corporation's stock price (IX). Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Art nouveau Magic realism 3D Pixar Style inspired by bauhaus Celtic art
ChatGPT: 3D Pixar Style

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 Biomass power generated in Madagascar and ORIX Corporation's stock price (IX), in the following situation: Because the increase in Biomass power generated in Madagascar led to a surge in demand for lemurs, which are used as mascot for ORIX Corporation, boosting their stock price.. Keep the description simple.
ChatGPT: A lush forest in Madagascar is buzzing with activity as workers harvest biomass to generate power. In the midst of the trees, a group of adorable lemurs, the mascot for the ORIX Corporation, playfully swings from branch to branch. Meanwhile, the stock price for ORIX Corporation (IX) visibly surges upward on a digital display well above the forest canopy.

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: [ 3D Pixar Style ] and depicting this scene: A lush forest in Madagascar is buzzing with activity as workers harvest biomass to generate power. In the midst of the trees, a group of adorable lemurs, the mascot for the ORIX Corporation, playfully swings from branch to branch. Meanwhile, the stock price for ORIX Corporation (IX) visibly surges upward on a digital display well above the forest canopy. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image in the style of 3D Pixar depicting a vibrant forest in Madagascar, where workers are harvesting biomass to generate power. Among the bustling activity, a group of adorable lemurs, the mascot for the ORIX Corporation, are joyfully swinging from branch to branch. Above the forest canopy, display the surging stock price for the ORIX Corporation (IX) on a digital display. Be sure to convey the hustle and bustle of the workers, the lushness of the forest, and the playful nature of the lemurs while showcasing the upward surge of the stock price in a visually captivating manner.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

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 Biomass power generated in Madagascar caused ORIX Corporation's stock price (IX) to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value

The Journal of Financial Flora and Fauna Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Biomass power generated in Madagascar and ORIX Corporation's stock price (IX). Make lots of jokes, goofy observations, and puns.

Make the title punny if you can come up with clever pun. If not, make it sound serious.

Your research team used data from Energy Information Administration and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9116251 and p < 0.01 for 2010 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]]
"Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value"

[[ABSTRACT]]
The field of energy economics has gained momentum in exploring the relationship between renewable energy sources and stock prices. In this study, we delve into the electrifying connection between Biomass power generation in Madagascar and its influence on ORIX Corporation's stock price (IX). Leveraging data from the Energy Information Administration and LSEG Analytics (Refinitiv), we conducted a thorough analysis from 2010 to 2021. The results revealed a striking correlation coefficient of 0.9116251 with a statistically significant p-value of less than 0.01. Our findings shed light on the potential market-shaping impact of Biomass power in Madagascar, illuminating the stock price landscape with renewable energy sparks. We present a lighthearted yet rigorous inquiry into the electrifying dynamics that power the stock market, illuminating the potential for Biomass energy to add a jolt to ORIX Corporation's stock value.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Biomass power generated in Madagascar and ORIX Corporation's stock price (IX). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
"Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value"

[[ABSTRACT]]
The field of energy economics has gained momentum in exploring the relationship between renewable energy sources and stock prices. In this study, we delve into the electrifying connection between Biomass power generation in Madagascar and its influence on ORIX Corporation's stock price (IX). Leveraging data from the Energy Information Administration and LSEG Analytics (Refinitiv), we conducted a thorough analysis from 2010 to 2021. The results revealed a striking correlation coefficient of 0.9116251 with a statistically significant p-value of less than 0.01. Our findings shed light on the potential market-shaping impact of Biomass power in Madagascar, illuminating the stock price landscape with renewable energy sparks. We present a lighthearted yet rigorous inquiry into the electrifying dynamics that power the stock market, illuminating the potential for Biomass energy to add a jolt to ORIX Corporation's stock value.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Energy economics, renewable resources, and stock market dynamics may seem like an unusual trio, but as we explore the electrifying connection between Biomass power generation in Madagascar and its impact on ORIX Corporation's stock price (IX), we find ourselves in a power play of potential market influence. Just as fireflies emit their luminescence, we delve into the illuminating interplay between renewable energy sparks and stock value fluctuations.

Renewable energy has been a hot topic (pun intended) in recent years, with an increasing focus on finding alternative sources to fuel our ever-hungry global energy demands. Biomass, specifically derived from organic materials such as wood, agricultural residues, and animal waste, has emerged as a promising contender in the renewable energy arena. Its potential to power up both energy grids and the financial sphere has not gone unnoticed, prompting us to examine the potential correlation between Biomass power generation thousands of miles away in the exotic landscapes of Madagascar and the not-so-distant stock ticker of ORIX Corporation.

The notion of trading stocks is often associated with hustle and bustle on Wall Street, but our study delves into a different kind of hustle – the one performed by the machinery of Biomass power plants. While the stock market is often seen as a place of intense human activity, we have sought to shed light on the potential impact of a far more natural and eco-friendly influence on stock prices. As we traverse the landscape of market dynamics, we aim to offer a fresh perspective on the interconnectedness of renewable energy and financial value, perhaps illuminating a new path for investors to "branch" out their portfolios.

The synergy between the lush greenery of Madagascar and the greenback-driven stock market may seem like a stretch, but our analysis aims to pave the way for understanding the potential market-shaping impact of Biomass power. Whether these findings lead to a "stock-rally" cry or merely add some "buzz" to the renewable energy dialogue, we are excited to present our findings and spark further discussion on the electrifying dynamics that power the stock market.

Puns and wordplay aside, this study embodies a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a jolt to ORIX Corporation's stock value. As we flick the switch on our investigation, we invite readers to join us on this enlightening journey of renewable energy, stock market intrigue, and perhaps a chuckle or two along the way.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Biomass power generated in Madagascar and ORIX Corporation's stock price (IX). Make lots of 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
"Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value"

[[ABSTRACT]]
The field of energy economics has gained momentum in exploring the relationship between renewable energy sources and stock prices. In this study, we delve into the electrifying connection between Biomass power generation in Madagascar and its influence on ORIX Corporation's stock price (IX). Leveraging data from the Energy Information Administration and LSEG Analytics (Refinitiv), we conducted a thorough analysis from 2010 to 2021. The results revealed a striking correlation coefficient of 0.9116251 with a statistically significant p-value of less than 0.01. Our findings shed light on the potential market-shaping impact of Biomass power in Madagascar, illuminating the stock price landscape with renewable energy sparks. We present a lighthearted yet rigorous inquiry into the electrifying dynamics that power the stock market, illuminating the potential for Biomass energy to add a jolt to ORIX Corporation's stock value.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Energy economics, renewable resources, and stock market dynamics may seem like an unusual trio, but as we explore the electrifying connection between Biomass power generation in Madagascar and its impact on ORIX Corporation's stock price (IX), we find ourselves in a power play of potential market influence. Just as fireflies emit their luminescence, we delve into the illuminating interplay between renewable energy sparks and stock value fluctuations.
Renewable energy has been a hot topic (pun intended) in recent years, with an increasing focus on finding alternative sources to fuel our ever-hungry global energy demands. Biomass, specifically derived from organic materials such as wood, agricultural residues, and animal waste, has emerged as a promising contender in the renewable energy arena. Its potential to power up both energy grids and the financial sphere has not gone unnoticed, prompting us to examine the potential correlation between Biomass power generation thousands of miles away in the exotic landscapes of Madagascar and the not-so-distant stock ticker of ORIX Corporation.
The notion of trading stocks is often associated with hustle and bustle on Wall Street, but our study delves into a different kind of hustle – the one performed by the machinery of Biomass power plants. While the stock market is often seen as a place of intense human activity, we have sought to shed light on the potential impact of a far more natural and eco-friendly influence on stock prices. As we traverse the landscape of market dynamics, we aim to offer a fresh perspective on the interconnectedness of renewable energy and financial value, perhaps illuminating a new path for investors to "branch" out their portfolios.
The synergy between the lush greenery of Madagascar and the greenback-driven stock market may seem like a stretch, but our analysis aims to pave the way for understanding the potential market-shaping impact of Biomass power. Whether these findings lead to a "stock-rally" cry or merely add some "buzz" to the renewable energy dialogue, we are excited to present our findings and spark further discussion on the electrifying dynamics that power the stock market.
Puns and wordplay aside, this study embodies a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a jolt to ORIX Corporation's stock value. As we flick the switch on our investigation, we invite readers to join us on this enlightening journey of renewable energy, stock market intrigue, and perhaps a chuckle or two along the way.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In "Energizing the Market: A Study of Biomass Power's Impact on Stock Prices," Smith et al. (2015) investigate the relationship between biomass power generation and stock market dynamics. The study provides a comprehensive analysis of various renewable energy sources, including Biomass, and their potential influence on stock prices. The authors find a positive correlation between Biomass power and stock value, suggesting a promising avenue for further exploration in the realm of energy economics.

Doe and Jones (2017) further explore the impact of renewable energy on financial markets in their study "Green Energy, Green Stocks: Exploring the Renewable Connection." Their findings indicate that renewable energy sources, such as Biomass, can contribute to market fluctuations, offering a fresh perspective on the potential interplay between energy production and stock value.

In "Biomass Power and Financial Sparks," the authors delve into the specific case of Madagascar's Biomass power generation and its implications for stock prices. The study uncovers a notable correlation between Biomass power output in Madagascar and its effect on the stock market, hinting at the possibility of renewable energy sparks igniting financial value.

While these scholarly works offer valuable insights into the potential connection between Biomass power and stock prices, our investigation aims to infuse a dash of humor and levity into the discourse. In addition to these academic studies, we draw inspiration from non-fiction resources such as "The Energy Conundrum: Exploring Renewable Solutions" and "Stocks and Stones: A Rock-Solid Guide to Financial Markets." These sources provide a solid foundation for understanding the complexities of renewable energy and stock market dynamics.

Venturing into the realm of fiction, we turn to "The Renewable Riddle: An Energy Economist's Tale" and "Stockholm's Syndrome: A Financial Thriller." While these books may not offer empirical evidence, they certainly ignite the imagination and offer a playful take on the intersection of renewable energy and stock market intrigue.

Drawing inspiration from unexpected sources, we also consider the implications of popular board games such as "Power Grid" and "Stockpile" in shaping our understanding of energy economics and financial markets. These games, while purely recreational in nature, often mirror real-world dynamics and provide a quirky lens through which to view our research topic.

In synthesizing the serious and the playful, our literature review sets the stage for a unique and engaging exploration of the connection between Biomass power in Madagascar and ORIX Corporation's stock value. With these diverse perspectives in mind, we embark on a spirited journey to illuminate the potential market-shaping impact of Biomass energy, infusing our study with a spark of creativity and levity along the way.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Biomass power generated in Madagascar and ORIX Corporation's stock price (IX). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and LSEG Analytics (Refinitiv) . You used data from 2010 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]]
"Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value"

[[ABSTRACT]]
The field of energy economics has gained momentum in exploring the relationship between renewable energy sources and stock prices. In this study, we delve into the electrifying connection between Biomass power generation in Madagascar and its influence on ORIX Corporation's stock price (IX). Leveraging data from the Energy Information Administration and LSEG Analytics (Refinitiv), we conducted a thorough analysis from 2010 to 2021. The results revealed a striking correlation coefficient of 0.9116251 with a statistically significant p-value of less than 0.01. Our findings shed light on the potential market-shaping impact of Biomass power in Madagascar, illuminating the stock price landscape with renewable energy sparks. We present a lighthearted yet rigorous inquiry into the electrifying dynamics that power the stock market, illuminating the potential for Biomass energy to add a jolt to ORIX Corporation's stock value.

[[INTRODUCTION]]
Energy economics, renewable resources, and stock market dynamics may seem like an unusual trio, but as we explore the electrifying connection between Biomass power generation in Madagascar and its impact on ORIX Corporation's stock price (IX), we find ourselves in a power play of potential market influence. Just as fireflies emit their luminescence, we delve into the illuminating interplay between renewable energy sparks and stock value fluctuations.
Renewable energy has been a hot topic (pun intended) in recent years, with an increasing focus on finding alternative sources to fuel our ever-hungry global energy demands. Biomass, specifically derived from organic materials such as wood, agricultural residues, and animal waste, has emerged as a promising contender in the renewable energy arena. Its potential to power up both energy grids and the financial sphere has not gone unnoticed, prompting us to examine the potential correlation between Biomass power generation thousands of miles away in the exotic landscapes of Madagascar and the not-so-distant stock ticker of ORIX Corporation.
The notion of trading stocks is often associated with hustle and bustle on Wall Street, but our study delves into a different kind of hustle – the one performed by the machinery of Biomass power plants. While the stock market is often seen as a place of intense human activity, we have sought to shed light on the potential impact of a far more natural and eco-friendly influence on stock prices. As we traverse the landscape of market dynamics, we aim to offer a fresh perspective on the interconnectedness of renewable energy and financial value, perhaps illuminating a new path for investors to "branch" out their portfolios.
The synergy between the lush greenery of Madagascar and the greenback-driven stock market may seem like a stretch, but our analysis aims to pave the way for understanding the potential market-shaping impact of Biomass power. Whether these findings lead to a "stock-rally" cry or merely add some "buzz" to the renewable energy dialogue, we are excited to present our findings and spark further discussion on the electrifying dynamics that power the stock market.
Puns and wordplay aside, this study embodies a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a jolt to ORIX Corporation's stock value. As we flick the switch on our investigation, we invite readers to join us on this enlightening journey of renewable energy, stock market intrigue, and perhaps a chuckle or two along the way.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To illuminate the electrifying connection between Biomass power generation in Madagascar and its impact on ORIX Corporation's (IX) stock price, our research employed a multifaceted methodology that sought to capture the essence of this potent relationship. Our data collection process involved traversing the boundless internet landscape, wading through the virtual underbrush to unearth the most robust and reliable sources of information. The digital web, much like the intricate web of relationships between renewable energy and financial markets, offered an expansive terrain for exploration.

In our foray into data collection, we harnessed the mighty Energy Information Administration (EIA) as a multidimensional beacon of energy sector insights. Much like intrepid explorers seeking a treasure trove of knowledge, we meticulously combed through the EIA's databases to extract valuable nuggets of information related to Biomass power generation in the captivating setting of Madagascar. Additionally, our quest for financial data led us to the enigmatic realm of LSEG Analytics (Refinitiv), where we navigated the financial currents to capture the stock price fluctuations of ORIX Corporation (IX).

Having gathered the necessary data, our analysis unfolded with mathematical rigor, akin to the precision of a watchmaker crafting intricate timepieces. We initiated a comprehensive examination of time series data spanning from 2010 to 2021, seeking patterns and rhythms that echoed the harmonious interplay between Biomass power generation and stock price dynamics. Utilizing an assortment of statistical tools, including correlation analysis and regression modeling, we endeavored to untangle the intricate threads that bound these seemingly disparate realms.

To discern the presence of a robust relationship, we meticulously calculated the correlation coefficient and p-values, serving as our compass to navigate the statistical terrain and gauge the strength of the connection under scrutiny. Our chosen statistical analyses, much like seasoned referees, adjudicated the contest between Biomass power generation in Madagascar and ORIX Corporation's stock prices, delivering a verdict on the significance of their relationship.

As we ventured deeper into the analytical domain, we embraced the ethos of caution and prudence, recognizing the potential pitfalls of spurious correlations masquerading as meaningful connections. Through the application of time-series models and econometric techniques, we endeavored to distill genuine signals from the cacophony of noise, recognizing that causation cannot be readily inferred from correlation alone.

In light of the geographical and sectoral boundaries that delineate our study, we acknowledge the limitations inherent in extrapolating our findings to a broader context. Our examination of Biomass power generation in Madagascar serves as a miniature ecosystem encapsulating a unique set of variables, cautioning against hasty generalizations to the global energy and financial markets. Nevertheless, our study offers a distinct vantage point, akin to a panoramic vista, from which to contemplate the interwoven tapestry of renewable energy and stock market dynamics.

Through the confluence of data collection, statistical analysis, and scholarly introspection, our methodology has endeavored to illuminate the beguiling connection between Biomass power generation in Madagascar and the stock prices of ORIX Corporation, casting a radiant glow on the potential market-shaping impact of this renewable energy source. As we tread the path of academic inquiry, we are mindful of the gravity of our undertaking but invite readers to revel in the occasional spark of lightheartedness amid the scholarly pursuit of knowledge.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Biomass power generated in Madagascar and ORIX Corporation's stock price (IX). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and LSEG Analytics (Refinitiv) .

For the time period 2010 to 2021, you found a correlation 0.9116251, r-squared of 0.8310603, 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]]
"Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value"

[[ABSTRACT]]
The field of energy economics has gained momentum in exploring the relationship between renewable energy sources and stock prices. In this study, we delve into the electrifying connection between Biomass power generation in Madagascar and its influence on ORIX Corporation's stock price (IX). Leveraging data from the Energy Information Administration and LSEG Analytics (Refinitiv), we conducted a thorough analysis from 2010 to 2021. The results revealed a striking correlation coefficient of 0.9116251 with a statistically significant p-value of less than 0.01. Our findings shed light on the potential market-shaping impact of Biomass power in Madagascar, illuminating the stock price landscape with renewable energy sparks. We present a lighthearted yet rigorous inquiry into the electrifying dynamics that power the stock market, illuminating the potential for Biomass energy to add a jolt to ORIX Corporation's stock value.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Energy economics, renewable resources, and stock market dynamics may seem like an unusual trio, but as we explore the electrifying connection between Biomass power generation in Madagascar and its impact on ORIX Corporation's stock price (IX), we find ourselves in a power play of potential market influence. Just as fireflies emit their luminescence, we delve into the illuminating interplay between renewable energy sparks and stock value fluctuations.
Renewable energy has been a hot topic (pun intended) in recent years, with an increasing focus on finding alternative sources to fuel our ever-hungry global energy demands. Biomass, specifically derived from organic materials such as wood, agricultural residues, and animal waste, has emerged as a promising contender in the renewable energy arena. Its potential to power up both energy grids and the financial sphere has not gone unnoticed, prompting us to examine the potential correlation between Biomass power generation thousands of miles away in the exotic landscapes of Madagascar and the not-so-distant stock ticker of ORIX Corporation.
The notion of trading stocks is often associated with hustle and bustle on Wall Street, but our study delves into a different kind of hustle – the one performed by the machinery of Biomass power plants. While the stock market is often seen as a place of intense human activity, we have sought to shed light on the potential impact of a far more natural and eco-friendly influence on stock prices. As we traverse the landscape of market dynamics, we aim to offer a fresh perspective on the interconnectedness of renewable energy and financial value, perhaps illuminating a new path for investors to "branch" out their portfolios.
The synergy between the lush greenery of Madagascar and the greenback-driven stock market may seem like a stretch, but our analysis aims to pave the way for understanding the potential market-shaping impact of Biomass power. Whether these findings lead to a "stock-rally" cry or merely add some "buzz" to the renewable energy dialogue, we are excited to present our findings and spark further discussion on the electrifying dynamics that power the stock market.
Puns and wordplay aside, this study embodies a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a jolt to ORIX Corporation's stock value. As we flick the switch on our investigation, we invite readers to join us on this enlightening journey of renewable energy, stock market intrigue, and perhaps a chuckle or two along the way.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

We flicked the switch on our analysis and found a shockingly strong correlation between Biomass power generation in Madagascar and the stock price of ORIX Corporation (IX). The correlation coefficient of 0.9116251 left us feeling positively charged, highlighting a robust relationship between these seemingly disparate entities. This finding suggests that the fluctuations in Biomass power generation in the exotic landscapes of Madagascar may indeed have a significant influence on the value of ORIX Corporation's stocks.

Our scatterplot (Fig. 1) provides a visual representation of this potent correlation, revealing a distinct pattern that one could say is as clear as day. The upwardly sloping trend line points to the fruitful connection between Biomass power generation and the stock price of ORIX Corporation. It's almost as if the influence of renewable energy is seeding growth in the stock market, sparking the potential for green returns for investors.

The r-squared value of 0.8310603 further bolstered our findings, indicating that over 83% of the variability in ORIX Corporation's stock price can be attributed to changes in Biomass power generation levels in Madagascar. This statistical confidence left us feeling more secure in our assessment than a well-built renewable energy power plant.

With a p-value of less than 0.01, our results passed the statistical jolt test with flying colors. This suggests that the observed correlation is not merely a result of chance, but rather indicative of a genuine relationship between Biomass power generation and the stock price of ORIX Corporation.

In conclusion, our findings unveil the potential market-shaping impact of Biomass power in Madagascar, infusing the stock price landscape with renewable energy sparks. This study not only adds a jolt to the discourse on renewable resources but also sheds light on the electrifying dynamics that power the stock market. It’s as if each joule of energy from Biomass power plants is generating a buzz in the stock market, illuminating the path for future market-shaping influences. Our research offers a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a "spark" to ORIX Corporation's stock value, providing food for thought that may just fuel future investment decisions.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Biomass power generated in Madagascar and ORIX Corporation's stock price (IX). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
"Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value"

[[ABSTRACT]]
The field of energy economics has gained momentum in exploring the relationship between renewable energy sources and stock prices. In this study, we delve into the electrifying connection between Biomass power generation in Madagascar and its influence on ORIX Corporation's stock price (IX). Leveraging data from the Energy Information Administration and LSEG Analytics (Refinitiv), we conducted a thorough analysis from 2010 to 2021. The results revealed a striking correlation coefficient of 0.9116251 with a statistically significant p-value of less than 0.01. Our findings shed light on the potential market-shaping impact of Biomass power in Madagascar, illuminating the stock price landscape with renewable energy sparks. We present a lighthearted yet rigorous inquiry into the electrifying dynamics that power the stock market, illuminating the potential for Biomass energy to add a jolt to ORIX Corporation's stock value.

[[LITERATURE REVIEW]]
In "Energizing the Market: A Study of Biomass Power's Impact on Stock Prices," Smith et al. (2015) investigate the relationship between biomass power generation and stock market dynamics. The study provides a comprehensive analysis of various renewable energy sources, including Biomass, and their potential influence on stock prices. The authors find a positive correlation between Biomass power and stock value, suggesting a promising avenue for further exploration in the realm of energy economics.
Doe and Jones (2017) further explore the impact of renewable energy on financial markets in their study "Green Energy, Green Stocks: Exploring the Renewable Connection." Their findings indicate that renewable energy sources, such as Biomass, can contribute to market fluctuations, offering a fresh perspective on the potential interplay between energy production and stock value.
In "Biomass Power and Financial Sparks," the authors delve into the specific case of Madagascar's Biomass power generation and its implications for stock prices. The study uncovers a notable correlation between Biomass power output in Madagascar and its effect on the stock market, hinting at the possibility of renewable energy sparks igniting financial value.
While these scholarly works offer valuable insights into the potential connection between Biomass power and stock prices, our investigation aims to infuse a dash of humor and levity into the discourse. In addition to these academic studies, we draw inspiration from non-fiction resources such as "The Energy Conundrum: Exploring Renewable Solutions" and "Stocks and Stones: A Rock-Solid Guide to Financial Markets." These sources provide a solid foundation for understanding the complexities of renewable energy and stock market dynamics.
Venturing into the realm of fiction, we turn to "The Renewable Riddle: An Energy Economist's Tale" and "Stockholm's Syndrome: A Financial Thriller." While these books may not offer empirical evidence, they certainly ignite the imagination and offer a playful take on the intersection of renewable energy and stock market intrigue.
Drawing inspiration from unexpected sources, we also consider the implications of popular board games such as "Power Grid" and "Stockpile" in shaping our understanding of energy economics and financial markets. These games, while purely recreational in nature, often mirror real-world dynamics and provide a quirky lens through which to view our research topic.
In synthesizing the serious and the playful, our literature review sets the stage for a unique and engaging exploration of the connection between Biomass power in Madagascar and ORIX Corporation's stock value. With these diverse perspectives in mind, we embark on a spirited journey to illuminate the potential market-shaping impact of Biomass energy, infusing our study with a spark of creativity and levity along the way.

[[RESULTS]]
We flicked the switch on our analysis and found a shockingly strong correlation between Biomass power generation in Madagascar and the stock price of ORIX Corporation (IX). The correlation coefficient of 0.9116251 left us feeling positively charged, highlighting a robust relationship between these seemingly disparate entities. This finding suggests that the fluctuations in Biomass power generation in the exotic landscapes of Madagascar may indeed have a significant influence on the value of ORIX Corporation's stocks.
Our scatterplot (Fig. 1) provides a visual representation of this potent correlation, revealing a distinct pattern that one could say is as clear as day. The upwardly sloping trend line points to the fruitful connection between Biomass power generation and the stock price of ORIX Corporation. It's almost as if the influence of renewable energy is seeding growth in the stock market, sparking the potential for green returns for investors.
The r-squared value of 0.8310603 further bolstered our findings, indicating that over 83% of the variability in ORIX Corporation's stock price can be attributed to changes in Biomass power generation levels in Madagascar. This statistical confidence left us feeling more secure in our assessment than a well-built renewable energy power plant.
With a p-value of less than 0.01, our results passed the statistical jolt test with flying colors. This suggests that the observed correlation is not merely a result of chance, but rather indicative of a genuine relationship between Biomass power generation and the stock price of ORIX Corporation.
In conclusion, our findings unveil the potential market-shaping impact of Biomass power in Madagascar, infusing the stock price landscape with renewable energy sparks. This study not only adds a jolt to the discourse on renewable resources but also sheds light on the electrifying dynamics that power the stock market. It’s as if each joule of energy from Biomass power plants is generating a buzz in the stock market, illuminating the path for future market-shaping influences. Our research offers a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a "spark" to ORIX Corporation's stock value, providing food for thought that may just fuel future investment decisions.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

In the realm of energy economics, the results of our study shed light on the electrifying connection between Biomass power generation in Madagascar and its impact on ORIX Corporation's stock price (IX). Our research embraced a blend of scholarly rigor and lighthearted exploration, and the findings speak volumes about the potential market-dynamizing influence of Biomass energy in the world of finance.

Our investigation echoes the scholarly works of Smith et al. (2015) and Doe and Jones (2017), adding a splash of humor to their serious inquiries. While one might initially view these lighthearted asides with skepticism, our results posit that sometimes insight disguised as levity can lead to truly shocking correlations. Just like playing "Power Grid," where strategic decisions can power up cities, Biomass power generation seems to power up the stock market, much to the delight of investors.

The striking correlation coefficient of 0.9116251 in our study, as jolting as a good cup of joe, supports and extends the positive relationship identified in prior research. If our results were a renewable energy source, they'd be a windfall for investors, blowing away any doubts about the potential impact of Biomass power on stock values. With an r-squared value of 0.8310603, we found that Biomass power generation in Madagascar explained over 83% of the variability in ORIX Corporation's stock price. This statistical zing confirms that the observable relationship isn't just a random fluke but a genuine spark in the financial landscape.

The drift towards renewable energy and its influence on financial markets, much like the upward sloping trend line in our scatterplot, is a bright beacon for investors seeking green returns. One might even say that Biomass power is planting the seeds of growth in the stock market, sowing the potential for a bountiful harvest of stock returns for those who dare to invest in greener pastures.

So, in the spirit of "Stockpile," it seems that investors should indeed stock up on their renewable energy insights. Our results not only add a jolt to the discourse on renewable resources but also illuminate the electrifying dynamics that power the stock market. It's as if each joule of energy from Biomass power plants is generating a buzz in the stock market, offering a charged path for future investment decisions.

In essence, our findings reveal the potential market-shaping impact of Biomass power in Madagascar, infusing the stock price landscape with renewable energy sparks. As we close the circuit on this discussion, one can't help but be shocked by the potential for Biomass energy to add a "spark" to ORIX Corporation's stock value, lighting the way for future financial currents to flow.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Biomass power generated in Madagascar and ORIX Corporation's stock price (IX). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
"Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value"

[[ABSTRACT]]
The field of energy economics has gained momentum in exploring the relationship between renewable energy sources and stock prices. In this study, we delve into the electrifying connection between Biomass power generation in Madagascar and its influence on ORIX Corporation's stock price (IX). Leveraging data from the Energy Information Administration and LSEG Analytics (Refinitiv), we conducted a thorough analysis from 2010 to 2021. The results revealed a striking correlation coefficient of 0.9116251 with a statistically significant p-value of less than 0.01. Our findings shed light on the potential market-shaping impact of Biomass power in Madagascar, illuminating the stock price landscape with renewable energy sparks. We present a lighthearted yet rigorous inquiry into the electrifying dynamics that power the stock market, illuminating the potential for Biomass energy to add a jolt to ORIX Corporation's stock value.

[[INTRDUCTION]]
Energy economics, renewable resources, and stock market dynamics may seem like an unusual trio, but as we explore the electrifying connection between Biomass power generation in Madagascar and its impact on ORIX Corporation's stock price (IX), we find ourselves in a power play of potential market influence. Just as fireflies emit their luminescence, we delve into the illuminating interplay between renewable energy sparks and stock value fluctuations.
Renewable energy has been a hot topic (pun intended) in recent years, with an increasing focus on finding alternative sources to fuel our ever-hungry global energy demands. Biomass, specifically derived from organic materials such as wood, agricultural residues, and animal waste, has emerged as a promising contender in the renewable energy arena. Its potential to power up both energy grids and the financial sphere has not gone unnoticed, prompting us to examine the potential correlation between Biomass power generation thousands of miles away in the exotic landscapes of Madagascar and the not-so-distant stock ticker of ORIX Corporation.
The notion of trading stocks is often associated with hustle and bustle on Wall Street, but our study delves into a different kind of hustle – the one performed by the machinery of Biomass power plants. While the stock market is often seen as a place of intense human activity, we have sought to shed light on the potential impact of a far more natural and eco-friendly influence on stock prices. As we traverse the landscape of market dynamics, we aim to offer a fresh perspective on the interconnectedness of renewable energy and financial value, perhaps illuminating a new path for investors to "branch" out their portfolios.
The synergy between the lush greenery of Madagascar and the greenback-driven stock market may seem like a stretch, but our analysis aims to pave the way for understanding the potential market-shaping impact of Biomass power. Whether these findings lead to a "stock-rally" cry or merely add some "buzz" to the renewable energy dialogue, we are excited to present our findings and spark further discussion on the electrifying dynamics that power the stock market.
Puns and wordplay aside, this study embodies a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a jolt to ORIX Corporation's stock value. As we flick the switch on our investigation, we invite readers to join us on this enlightening journey of renewable energy, stock market intrigue, and perhaps a chuckle or two along the way.

[[RESULTS]]
We flicked the switch on our analysis and found a shockingly strong correlation between Biomass power generation in Madagascar and the stock price of ORIX Corporation (IX). The correlation coefficient of 0.9116251 left us feeling positively charged, highlighting a robust relationship between these seemingly disparate entities. This finding suggests that the fluctuations in Biomass power generation in the exotic landscapes of Madagascar may indeed have a significant influence on the value of ORIX Corporation's stocks.
Our scatterplot (Fig. 1) provides a visual representation of this potent correlation, revealing a distinct pattern that one could say is as clear as day. The upwardly sloping trend line points to the fruitful connection between Biomass power generation and the stock price of ORIX Corporation. It's almost as if the influence of renewable energy is seeding growth in the stock market, sparking the potential for green returns for investors.
The r-squared value of 0.8310603 further bolstered our findings, indicating that over 83% of the variability in ORIX Corporation's stock price can be attributed to changes in Biomass power generation levels in Madagascar. This statistical confidence left us feeling more secure in our assessment than a well-built renewable energy power plant.
With a p-value of less than 0.01, our results passed the statistical jolt test with flying colors. This suggests that the observed correlation is not merely a result of chance, but rather indicative of a genuine relationship between Biomass power generation and the stock price of ORIX Corporation.
In conclusion, our findings unveil the potential market-shaping impact of Biomass power in Madagascar, infusing the stock price landscape with renewable energy sparks. This study not only adds a jolt to the discourse on renewable resources but also sheds light on the electrifying dynamics that power the stock market. It’s as if each joule of energy from Biomass power plants is generating a buzz in the stock market, illuminating the path for future market-shaping influences. Our research offers a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a "spark" to ORIX Corporation's stock value, providing food for thought that may just fuel future investment decisions.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In closing, our research sheds light on the shockingly strong connection between Biomass power generation in Madagascar and the stock price of ORIX Corporation (IX), illuminating a potential avenue for renewable energy sparks to influence market dynamics. This study not only provides insights into the electrifying dynamics that power the stock market but also adds a jolt to the discourse on renewable resources. It's as if the Biomass power plants in Madagascar are planting the seeds of growth in ORIX Corporation's stock price, creating a green oasis in the financial landscape.

While some may view the correlation between these seemingly disparate entities as far-fetched, our findings indicate that over 83% of the variability in ORIX Corporation's stock price can be attributed to changes in Biomass power generation levels in Madagascar. This statistical confidence is more secure than a well-built renewable energy power plant, highlighting the robustness of the relationship we've uncovered.

In the realm of stock market influences, renewable energy may just be the "spark" investors need to branch out their portfolios into greener pastures. However, it's important to note that correlation does not always imply causation – we don't want to be accused of "wood"oo economics. Nevertheless, the potential market-shaping impact of Biomass power in Madagascar is an area worth "digging" into for investors and enthusiasts alike.

In conclusion, our research provides a lighthearted yet rigorous inquiry into the potential for Biomass energy to add a "spark" to ORIX Corporation's stock value, paving the way for future discussions and exploration in this illuminating domain. In the spirit of renewable energy, our findings offer a refreshing breeze in the dialogue on stock market influences, planting the seeds for further inquiry and perhaps even some "green" humor in financial analyses.

In the wise words of our colleague, Mark Twain, "Buy land, they're not making it anymore." We suggest applying the same principle to renewable energy and its potential impact on stock value – it's a limited resource with untapped potential. As such, we assert that no further research is needed in this area.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Financial Flora and Fauna 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 Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Biomass Economics and Financial 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 Powering Up the Stock Market: A Biomass of Potential in Madagascar's Impact on ORIX Corporation's (IX) Value with an abstract of The field of energy economics has gained momentum in exploring the relationship between renewable energy sources and stock prices. In this study, we delve into the electrifying connection between Biomass power generation in Madagascar and its influence on ORIX Corporation's stock price (IX). Leveraging data from the Energy Information Administration and LSEG Analytics (Refinitiv), we conducted a thorough analysis from 2010 to 2021. The results revealed a striking correlation coefficient of 0.9116251 with a statistically significant p-value of less than 0.01. Our findings shed light on the potential market-shaping impact of Biomass power in Madagascar, illuminating the stock price landscape with renewable energy sparks. We present a lighthearted yet rigorous inquiry into the electrifying dynamics that power the stock market, illuminating the potential for Biomass energy to add a jolt to ORIX Corporation's stock value.

ChatGPT:

Biomass power generation, Madagascar, ORIX Corporation, stock price, renewable energy, energy economics, correlation coefficient, Energy Information Administration, LSEG Analytics, Refinitiv, stock market, renewable energy sources, market-shaping impact

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



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Data details

Biomass power generated in Madagascar
Detailed data title: Total biomass power generated in Madagascar in billion kWh
Source: Energy Information Administration
See what else correlates with Biomass power generated in Madagascar

ORIX Corporation's stock price (IX)
Detailed data title: Opening price of ORIX Corporation (IX) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with ORIX Corporation's stock price (IX)

Correlation r = 0.9116251 (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 = 0.8310603 (Coefficient of determination)
This means 83.1% of the change in the one variable (i.e., ORIX Corporation's stock price (IX)) is predictable based on the change in the other (i.e., Biomass power generated in Madagascar) over the 12 years from 2010 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.7E-5. 0.0000365450789385632600000000
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 0.91 in 0.0037% of random cases. Said differently, if you correlated 27,363 random variables You don't actually need 27 thousand variables to find a correlation like this one. You can also correlate variables that are not independent. I do this a lot.

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.

[ 0.71, 0.98 ] 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.
201020112012201320142015201620172018201920202021
Biomass power generated in Madagascar (Billion kWh)0.0120.0150.0150.0170.020.0150.020.020.020.020.020.02
ORIX Corporation's stock price (IX) (Stock price)34.3749.0541.9157.788.9263.4269.1978.685.0171.0884.0876.77




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.




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([0.012,0.015,0.015,0.017,0.02,0.015,0.02,0.02,0.02,0.02,0.02,0.02,])
array_2 = np.array([34.37,49.05,41.91,57.7,88.92,63.42,69.19,78.6,85.01,71.08,84.08,76.77,])
array_1_name = "Biomass power generated in Madagascar"
array_2_name = "ORIX Corporation's stock price (IX)"

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

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



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Correlation ID: 3938 · Black Variable ID: 23805 · Red Variable ID: 1887
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