Vijayakumar Ramdoss thinks this is interesting:

That is the “forest” half. The other half, the “random,” says that when training you don’t give each tree all the training data; you randomly hold back some rows, or hold back some columns. This makes each individual tree a bit dumber than if it had seen all the data. But when their results are averaged together the whole is more intelligent than any one part.