  In the usual Achlioptas processes the smallest clusters of a few randomly
chosen ones are selected to merge together at each step. The resulting
aggregation process leads to the delayed birth of a giant cluster and the
so-called explosive percolation transition showing a set of anomalous features.
We explore a process with the opposite selection rule, in which the biggest
clusters of the randomly chosen ones merge together. We develop a theory of
this kind of percolation based on the Smoluchowski equation, find the
percolation threshold, and describe the scaling properties of this continuous
transition, namely, the critical exponents and amplitudes, and scaling
functions. We show that, qualitatively, this transition is similar to the
ordinary percolation one, though occurring in less connected systems.
