Julian BurdenChandramauli ChakrabortyQ. Z. FangLai-Jiu LinNasser MalibariSammi MatoushIsaiah MilbankZahan ParekhMartín PradoRachael Ren2026-03-222026-03-22202410.46787/pump.v7i0.4251https://doi.org/10.46787/pump.v7i0.4251https://andeanlibrary.org/handle/123456789/75997Consider an urn with an initial state of R red balls and W white balls. Draw a ball from the urn, uniformly at random, and note its color. If the ball is white, do not replace it; if the ball is red, do replace it. Define this sampling rule to be "Preferential". We study the random variable X denoting the number of white balls drawn under the Preferential sampling rule for a sample size n. It is known that the expected number of X is bounded below by 3nW/(4N), and bounded above by nW/N. In this paper we improve the lower bound, give a heuristic for the best possible lower bound, and we explore some properties of a generalization of this sampling rule, we call "Super-Preferential", where the probability of retaining a white ball is w and the probability of retaining a red ball is r.enComputer scienceCombinatoricsMathematicsarticle