Before reading the content in this book which hypothesizes that interest rates can be set by observing Mars, while presuming that the movements of the planet Mars around the sun has influence on investor behavior, it is important to take into account a recent study published in Nature Communications in March of 2024, roughly 5 years after this idea was first introduced to the public. In that study published in March of 2024, researchers discovered that Mars is exerting a gravitation pull on earth's tilt, exposing earth to warmer temperatures and more sunlight, all within a 2.4 million year cycle. I assert that this allows us to surmise that, even within smaller timeframes, Mars is still exerting a gravitational pull on earth's axial tilt, enough to raise temperatures when the planet is within 30 degrees of the lunar node, which would affect human behavior. Citing the fact of numerous studies that link aggression and irritability to warmer temperatures, I establish an axiom and then assert that Mars within 30 degrees of the lunar node should affect the brain by reducing cognition and compelling aggression and irritability. This perspective should help the reader move beyond the preconceived notion of absurdity and realize that this has scientific merit. Back in 2020, I came up with the idea that the Federal Reserve can set interest rates based on the movements of the planet Mars and then wrote a book explaining how it was feasible. In the earlier versions of that book entitled "The Mars Hypothesis," I formulated an algorithm based on solar and planetary positions. But over the course of applying it to the actual price movements of the Dow Jones Industrial Average, I would see correlations, but suddenly run into major problems with its application when the Shmita year came around. In the earlier of versions of The Mars Hypothesis, I made this observation, but then attempted to apply an algorithm that could account for Dow Jones price movements without having to observe the Shmita year. However, now I think its unfair to leave out the Shmita year aspect, especially when it seems to clearly throw off algorithms the year that it comes around. So in this version, I apply the Shmita aspect throughout and formulate an interest rates setting plan with it.