
Originally Posted by
Stickasylum
Since I was doing the math already, I went ahead and computed the probability cutoffs determining when one tier is better than another.
Let p2, p3, p4 be the probability of a given rank of item for each item in a T2, T3, and T4 lockbox, respectively. From the perspective of maximizing the expected number of drops of that rank per keycode spent, then
T2 is better than T3 if 2*p2 > p3
T3 is better than T4 if 2*p3 > p4
T2 is better than T4 if 4*p2 > p4
For example, if the orange drop rate from T4 boxes is 8%, then T3 boxes are a better investment if their orange drop rate is greater than 4% and T2 boxes are better if their orange drop rate is greater than 2%.
This also applies to combined groups. The Blue/Purple/Orange drop rate from T4 boxes looks like it is about 75% now. Then T3s are a better investment if the B/P/O drop rate is greater than 37.5% and T2s are better with a rate greater than 18.75%. Both of these look like they are true! T3s look to have a B/P/O rate of about 60%, meaning T2s are only better with a B/P/O rate over 30%. Right now, they look like they have about that (though my personal data puts them closer to 25%). So from our current data, it looks like T2 and T3 and neck-and-neck for BPO efficiency, both beating T4s handily.
We can get similar bounds for the probability of at least one item of a given rank for given number of keycodes spent, but the inequalities are bit more complicated:
T2 has better probability than T3 if p2 > 1-(1-p3)^(1/2)
T3 has better probability than T4 if p3 > 1-(1-p4)^(1/2)
T2 has better probability than T4 if p2 > 1-(1-p4)^(1/4)
For example, if T4 has a 8% orange drop rate, then the probability of at least one orange is better for T3 boxes if p3 > 1-(1-0.08)^(1/2) = 0.041 (i.e. 4.1%). The probability of at least one orange is greater for T2 boxes if the T2 orange drop rate is greater than 2.1%.
Again, categories can be combined. The current T4 B/P/O drop rate is about 75%, so T3 needs better than 50% and T2 better than 29% to have better probability of at least on rare or better, both of which appear to be true (though T2 is awfully close). For T2 to have better probability than T3, the T2 drop rate needs to be at least 37%, which doesn't appear to be true. Thus T3 appears to have the best probability of getting at least one rare or better item (though T2 will give roughly the same number of rare or better items, on average!)
That would be awesome. By all means, post a thread and link it here! In the meantime, we're having a philosophical discussion about statistics, because statistics are cool.
Also, there isn't anything wrong with the math, we're mostly talking about which statistics are most appropriate for determining buying strategy. Distinctions like expected value vs. probability are important regardless of whether the numbers come from Trion Worlds or observation - we still need to decide how turn them into a strategy!