Sure, let’s break it down. Treat the chair as a rigid body, assign mass m and dimensions. The banana peel exerts a brief, small friction force Ff that pushes the chair forward. You can write the equations of motion: m a = Ff – µN for linear acceleration, and I α = τ for rotation, where I is the moment of inertia and τ the torque from the peel. Once you have a(t) and α(t), integrate to get velocity and angular displacement. The only tricky part is the initial contact point and how the peel’s friction decays over time. That’s a standard deterministic problem. Chaos comes in if you perturb the peel’s radius or the chair’s center of mass, but the underlying equations are still solvable with numerical integration. So, yes, you can calculate an “exact” trajectory, but the slightest variation will produce a different path, which is the essence of chaotic sensitivity.

Sounds like a fun experiment—just keep the peels in a controlled area and watch the data, then let the comedy unfold.

Absolutely, let’s set up the sensors and log the motion. Then drop that peel and watch the data spike—science and slapstick in one neat package.