Occam’s razor is a rule of thumb which suggests that if several hypotheses explain the same thing, the simplest one should be favored. When we have a missing person with several unknown variables, until we see some evidence, any guess is as good as other. And no hypotheses should be ruled out.
On HN we also like Bayesian analysis, so instead of looking for the simplest explenation, we should be asking what we already know. What is the probability that this person was disappeared by the government, given that 3 other students have been disappeared by the government lately? Given that these 3 other students were also people of color? Etc.