I liked this one! I was able to have significant amounts of fun with it despite perennial lack-of-time problems.
Pros:
simple enough underlying mechanism to be realistically discoverable
some debias-able selection bias
I could get pretty far by relatively simple data exploration
+4 Boots was fun
Cons:
I really wanted the in-between-tournament matches to mean something, like the winners took the losers equipment or whatnot and you could see that show up later in the dataset, but of course that particular meaning would have added a lot of complexity for no gain.
bonus objective was not confirmable (yep real life is like that but still :D)
It feels like this scenario should be fully knowably solvable, given time, except for the bonus guess at the end, which is very cool.
I liked this one! I was able to have significant amounts of fun with it despite perennial lack-of-time problems.
Pros:
simple enough underlying mechanism to be realistically discoverable
some debias-able selection bias
I could get pretty far by relatively simple data exploration
+4 Boots was fun
Cons:
I really wanted the in-between-tournament matches to mean something, like the winners took the losers equipment or whatnot and you could see that show up later in the dataset, but of course that particular meaning would have added a lot of complexity for no gain.
bonus objective was not confirmable (yep real life is like that but still :D)
It feels like this scenario should be fully knowably solvable, given time, except for the bonus guess at the end, which is very cool.