A martingale whose increments are uniformly bounded has Gaussian-shaped tails. A small computation will anchor the general statement before the abstraction takes over.
Definitions first
Tail bounds convert information about the moment-generating function \(M_X(\lambda)=\mathbf E[e^{\lambda X}]\) into estimates for \(\mathbf P(X\ge t)\). Stronger assumptions produce exponentially sharper bounds.
I keep the defining relation \(\mathsf D\) above the derived relation \(\mathsf C\). This exposes whether cancellation used \(x\ne0\) and whether the conclusion is canonical.
A small case in full
This is the algebraic core of the note. Once this line is correct, the surrounding interpretation has something solid to refer to.
The reusable statement
The compact alignment is a local map of the argument: assumptions on the first row, consequence on the second. Any generalisation must preserve that dependency.
A nearby false statement
The parameter must be optimized only over values where the moment-generating function exists. Independence and boundedness hypotheses are not interchangeable.
The important habit is to remember what was fixed before the calculation began and what was proved only afterward. The final display preserves that order.