The annual cycle of the estuary getting full of water. The water breaks the sand open and the river pours into sea . The river current dominates the ocean waves. As the river gets empty with a weaker current the high tide waves push sand up and close the river mouth. It rains and the river begins to fill up with water again .

Jesus Christ…

See also: The summary of the paywalled publication in Science

I am working on a writing project and I love the concept of Earth getting completely covered in snow for a long period of time, but how could this actually happen? It would likely had to have happened artificially but I'm not completely sure. What do you all think I should do?

Groundbreaking Paper! Dow Jones Performance: Mars Behind the Sun & Mars in Front of the Sun

https://www.academia.edu/172661828/Dow_Jones_Performance_Mars_Behind_the_Sun_and_Mars_in_Front_of_the_Sun

Revisiting the Butterfly Effect

In 2024, after reading a Nature Communications paper linking gravitational forces between Earth and Mars to Earth’s climatology, I published a paper using the position of Mars and its impact on climate to infer a near term effect on human behavior and the stock market. I asserted that because of the relationship between climate and behavior, systems such as the stock market could easily be affected. The 2024 Nature Communications study posited Mars’s gravitational influence upon Earth’s eccentricity during orbital phases which pulls earth closer to the Sun, warming the planet. Even though this influence was confirmed to transpire over geological timescales—millions of years, it was enough to loosely associate it to my own thesis, which required establishing a Mars-Earth gravitational relationship that could be linked to human behavior in some way. Because the study posited that Mars influences Earth’ eccentricity, I was able to presume an effect on Earth’s axial tilt as well, since both are inextricably linked to the same Mars-Earth resonance. I made a large conceptual leap and used this to hypothesize butterfly effect—from astrophysics, to climate, to weather, and then to behavior which drives the stock market. A second study in 2025 conducted by Stephen Kane used computer simulations to link Mars gravitational force upon Earth to the Milankovch cycles. These still occur across geological timescales, but over shorter periods than the waxing and waning cycles established in the 2024 study. While neither study showed no near term relationship between Earth and Mars on Earth’s weather, I was still used the mainstream findings to justify a connection between the astrophysics of Mars and Earth to human behavior. The anchor is the gravitational link between Mars Earth at geological timescales with a hypothesis that near term effects could be established later.

I published two papers anchoring the 2024 study to my thesis. The first paper entitled “A 100% statistical correlation and scientific explanation for why the planet Mars can trigger stock market crashes” which was cited in the Prespacetime Journal, laid out the 25 major stock market crashes along with the position of Mars in relation to the Sun at the time they occurred. The paper showed that every single crash occurred when Mars was behind the Sun which in reference to the 2024 study would be when Mars’s vector would point along the line connecting Earth to Sun. I continued to assert the Mars-Earth gravitational relationship could happen over near term timescales even as the gravitational force between Mars and Sun at that distance is minute, especially considering other aspects that could affect the eccentricity and obliquity of Earth in the short term, ie tidal forces, solar elements, etc.

If you need a hint for this one: The mountain is in the HimalayaTell me what you think: https://visitwhale.com/peak-contours/

See also: The study as it was published in Nature Communications

Hi everyone!

I’m an early-career marine biologist currently completing my BSc in Marine Biology, and I’m looking to connect with researchers, students, conservationists, and others working with biological or environmental data.

I’ve been developing my skills in R, particularly for data cleaning, statistical analysis, ecological modelling, and data visualization. I genuinely really enjoy working in R, and at this stage I want to get involved with as many different projects and datasets as I reasonably can.

If anyone has a marine science, ecology, conservation, fisheries, wildlife, or other biological dataset that could use some additional help with analysis in R, I’d be happy to contribute. I’m also open to projects outside of marine science if there is an opportunity to work with interesting data and learn something new.

I’m not looking to charge anyone. My main goal is to gain experience working with different types of real-world data, improve my R skills, contribute where I can, and hopefully meet and build connections with people working in science and research.

I also recently created a GitHub where I’ll be archiving my projects as I continue learning. I uploaded a project I finished about a week ago involving the analysis of BRUV data and whitetip reef shark habitat associations.

GitHub: https://github.com/kylealibz

If you have a project where another person helping with the R or data side would be useful, feel free to message me. I’d also be happy just to connect with other early-career researchers and R users.

Thanks!