  This paper presents compact notations for concentration inequalities and
convenient results to streamline probabilistic analysis. The new expressions
describe the typical sizes and tails of random variables, allowing for simple
operations without heavy use of inessential constants. They bridge classical
asymptotic notations and modern non-asymptotic tail bounds together. Examples
of different kinds demonstrate their efficacy.
