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Here's the question.

You are flying to Zanzibar (Tanzania) with a connection in Aachen (Germany). You checked a bag. Assumptions:

  • There's a 50% chance that your bag successfully made the connection in Aachen. Conversely, there's a 50% chance that your bag is stuck in Aachen.
  • The baggage crew in Zanzibar loads all the bags onto the carousel in 10 min, at a constant rate.

You're sitting in Zanzibar airport waiting for your baggage. You can deduce the probability that your bag is stuck in Aachen. At t=0min, the chance that your bag is stuck in Aachen is 50%. At t=10min, if all bags have been loaded and your bag is not there, congratulations, your bag is 100% stuck in Aachen.

But how about at t=5min? If your bag is still not on the carousel in Zanzibar, what's the chance that your bag is stuck in Aachen? I thought it was 75%, but the book says it's 66%! I can't figure out why.

Edit1: my rationale for saying it's 75% is since the rate of baggage-loading in Zanzibar is linear, and the percentage goes from 50% to 100% in 10 min, the midpoint probability at t=5 would also be at midpoint: 75%.

Edit2: As suggested in the comments, I'm framing this in Bayesian terms. $$ P(stuck \mid t_5) = \frac{P(t_5 \mid stuck)P(stuck)}{P(t_5)} $$ Where $t_5$ denotes the state where there's no bag on the carousel at 5min. Therefore, it'll be, $$ \frac{1 * 0.5}{0.75} = 0.666 $$ Thanks! That solved it. Appreciate it, Demetri.

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    $\begingroup$ Could you add your reasoning for why you think it's 75%? This would help to work out what went wrong. $\endgroup$ Commented Nov 21, 2022 at 16:10
  • $\begingroup$ Sure thing, will do $\endgroup$
    – J. Park
    Commented Nov 21, 2022 at 16:12
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    $\begingroup$ Have you tried framing this as a Bayes rule question and estimating the conditional probability of your bag being stuck given you've observed $x$ bags which are not yours $\endgroup$ Commented Nov 21, 2022 at 16:18

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