We bound the performance guarantees that follow from Turán-like bounds for unweighted and weighted independent sets in bounded-degree graphs. In particular, a randomized approach of Boppana forms a simple 1-round distributed algorithm, as well as a streaming and preemptive online algorithm. We show it gives a tight (∆ + 1)/2-approximation in unweighted graphs of maximum degree ∆, which is best possible for 1-round distributed algorithms. For weighted graphs, it gives only a ∆-approximation, but a simple modification results in an asymptotic expected 0.529∆-approximation. This compares with a recent, more complex ∆-approximation [5], which holds deterministically.