First, we developed a method for quickly and efficiently predicting the lift of a maple seed as a function of its lift and drag coefficients, rotation speed, surface area, length and profile, then using 3D profile, geometric characteristics and Blade momentum Theory. To achieve this, we relied on a publication entitled “The aerodynamics of a falling maple seed”, which provided us with theoretical support after adapting its approach and circumventing certain sources of imprecision. We then turned to the statistical distribution of samaras in nature. By developing “synthetic samara seeds” , we tried to see if the slowest were the most numerous, and if there was a natural law that optimized the samara's length/mass ratio.