During certain sequences of coin flips, why does HHHT have a greater chance than HHHH

probability

I was reading an article, They were comparing sequences of coin flips. They said:

"HHHT and HHHH are equal only if flipping an unbiased coin exactly four times or infinitely many times. For values in between these two extremes, probabilities will not be the same. Imagine flipping a coin, say, 20 times and checking whether either HHHH or HHHT arise at least once in that series. Given that the wait time for HHHH is longer than that for HHHT, HHHH will also be less likely to occur at all."

Can someone help me understand why the wait time for HHHH is longer than HHHT for values in between 4 and infinite flips? Naturally, I expected that either of these sequences occurring has the same probability. Since Heads and Tails, each have a 50/50 chance with an unbiased coin. What am I missing in my understanding? 

Source:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5215234/#!po=6.13208

Best Answer

Consider the simpler problem of HH vs HT in 3 coin tosses. \begin{array} 3Flips & HH & HT \\ \hline HHH & 1 & 0 \\ \hline HHT & 1 & 1 \\ \hline HTH & 0 & 1 \\ \hline HTT & 0 & 1 \\ \hline THH & 1 & 0 \\ \hline THT & 0 & 1 \\ \hline TTH & 0 & 0 \\ \hline TTT & 0 & 0 \\ \hline Total & 3 & 4 \\ \hline \end{array}

Why does this happen? One explanation is that in HHH we have two counts of HH, but we only count it once. This is slightly similar to the explanation given by Peter that after an HHH, you have to start counting from scratch for HHHH, in case a T occurs, but for HHHT, even if another H occurs, you can reuse 3 H's.

You can now extend the explanation to larger flip-sets (3 throws vs n throws) and larger patterns (HH vs HHHH)

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