So a weighted-random gun Chase? Could be interesting, though against a sufficiently advanced flattener it could perform worse than a "plain" precise-MEA random targeter.
Maybe an interesting approach would be to give a targeting system a dynamically adjustable "randomness" factor, where 0.0 is a conventional guessfactor targeting, 1.0 is precise-MEA random, and somewhere inbetween would be weighted random. Perhaps it would be possible to use some metrics calculated from opponant behavior to determine the optimal "randomness" factor.
Like Voidious says, targeting does have a huge information advantage over surfing, but at the same time with a deterministic targeting algorithm, if the surfing knew the exact targeting algorithm it was facing it could dodge everything perfectly, which makes me wonder if there is perhaps room for a measured dose of randomness.