You are given biased coin. Find unbiased decision out of it?

**Concept:** When we have a biased coin, then the probability of a head and a tail is not the same. Let us say the probability of coming up with a head(H) is p, so the the probability of tail(T) would be 1-p. The dice would be biased when p > 0.5 or vice-verse.

The task at hand is to stimulate a condition where the probability of occurrence of two events is the same. That cannot be done with a single toss of the dice, so we need to think a little out of the box.

Throw the biased coin twice.

Classify it as true for HT and false for TH. Both of these occur with probability=p*(1-p), and hence unbiased.

Ignore the other 2 events namely HH and TT.

Classify it as true for HT and false for TH. Both of these occur with probability=p*(1-p), and hence unbiased.

Ignore the other 2 events namely HH and TT.

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