H/T: Sociobiological model of adolescent risk behavior
Note: The H/T on this page is probably incorrect, but links to falsificative evidence are required. See the comments at the discussion page.
The hypothesis or theory
The sociobiological model of adolescent risk behavior claims that risk behavior in young people is biologically hardwired, evolved as a risky migration behavior to avoid inbreeding when it was dangerous to leave one's primate/Stone Age group. The H/T claims that this required a prolonged period of risk behavior lasting years. Claiming that selection for a very brief period of risky behavior would somehow select for a long period of riskful behavior would not be scientific as per can a diagnosis be a falsifiable H/T?.
Risks of staying in versus leaving groups
This H/T predicts that it would somehow have been more risky to stay in a group that one had newly joined than to make another predator-ridden lonely journey back to one's old group and risk being treated as a splinterer. It also predicts that if there are gender differences in adolescent risk behavior, it should be most rampant in the same gender that migrated when growing up in our prehistoric ancestors (young males taking the most risk if males migrated and young females taking more risks if females did the migration).
Mutation rates and differences between populations
Since it is the wait for suitable mutations that takes the most time in evolution, while selection can dramatically change the frequency of genetic alleles in a few generations if genetic variation already exists and is relevant to the question, this H/T makes predictions on the distribution of differences in at what age risks are taken, if any. It predicts that if there is any genetic component in individual differences in the age at which risks are taken and/or the degree of youth risk behavior, there should also be hereditary differences related to geographical origin and ethnicity due to different selective pressure caused by historically different age rules in different geographical areas.