Exponentiating a tail event introduces a free parameter that can be minimized. I will separate the object being defined from the consequence being claimed.
The data
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.
The typography mirrors the proof: first declare \(\mathsf D\), then state \(\mathsf C\). The symbol \(\Longrightarrow\) below is a logical dependency, not extra mathematical structure.
Derivation
This is the algebraic core of the note. Once this line is correct, the surrounding interpretation has something solid to refer to.
Invariant content
The formula is reusable precisely because it says which pieces are structural and which belong only to the worked example.
Scope
The parameter must be optimized only over values where the moment-generating function exists. Independence and boundedness hypotheses are not interchangeable.
The notation is dense, but it is doing honest work: every delimiter records scope and every index records dependence. Removing one should require a mathematical reason.