2024 Spring RFL Sign-Up and Running Thread: Round 2 (Moo Moo Farm)

Efficiency measured by Jewel, SC, GC drops.

The error (standard deviation) in such counting method is the square root of the number. If you provide me with the raw data I can calculate how much better that nova sorc if you want.
 
I think I might be topped out at 12 hours of Cows with two qualifiers. Vang started the Random Tournament and I'm having more fun with that than Cows 😅 Maybe I'll fit one or two more hours in before Sunday...

I still consider 12 hours and any qualifiers to be a small victory for me. I normally can't get into farming Cows that much. It turns out that I can tolerate Cows with the right character.
 
The error (standard deviation) in such counting method is the square root of the number. If you provide me with the raw data I can calculate how much better that nova sorc if you want.

I'd be interested in hearing your thoughts about the data and what would be a sufficiently large number of drops. I'd hope 20 hour sets produce enough drops to extrapolate the number of cows killed somewhat reliably.

I used these Hell Bovine drop odds for each Jewel, SC, or GC:
P7 - 1:506
P5 - 1:571
Some runs are done in P5, so I included P5 odds here. I use the P5/P7 ratio to convert to the equivalent P7 run efficiency.

SC, GC, Jewel quantities, listed in the same order:
P7 Nova Sorc (2024 RFL) - 424, 430, 437
P7 Nova Sorc (2023 RFL) - 415, 436, 425
P7 Mosaic Sin (2023 RFL) - 334, 371, 325
P7 1.14d Necro (2022 RFL) - 164, 181, 176 <- 10 hour set
P5 1.14d Necro (2022 RFL) - 365, 320, 329
P5 1.14d Necro (2021 RFL) - 314, 331, 299
P5 1.14d Nova Sorc (2020 RFL) - 337, 317, 336

All 20 hour sets except for that one 10 hour set.
 
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I'd be interested in hearing your thoughts about the data and what would be a sufficiently large number of drops. I'd hope 20 hour sets produce enough drops to extrapolate the number of cows killed somewhat reliably.

I used these Hell Bovine drop odds for each Jewel, SC, or GC:
P7 - 1:506
P5 - 1:571
Some runs are done in P5, so I included P5 odds here. I use the P5/P7 ratio to convert to the equivalent P7 run efficiency.

SC, GC, Jewel quantities, listed in the same order:
P7 Nova Sorc (2024 RFL) - 424, 430, 437
P7 Nova Sorc (2023 RFL) - 415, 436, 425
P7 Mosaic Sin (2023 RFL) - 334, 371, 325
P7 1.14d Necro (2022 RFL) - 164, 181, 176 <- 10 hour set
P5 1.14d Necro (2022 RFL) - 365, 320, 329
P5 1.14d Necro (2021 RFL) - 314, 331, 299
P5 1.14d Nova Sorc (2020 RFL) - 337, 317, 336

All 20 hour sets except for that one 10 hour set.

Simplest way, I think, to deal with "inverse" problems, is to simulate them. Here I simulated 1k 20h sets for the 2024 Nova sorc.
1715257352350.png
As we can see, rhoughly 60% chance that 178-187 cows were killed each minute, and ~85% chance that the number of killed cows/min was 175-190. Mean =181.6 , StandardDevitaion = 5.1

Here is 2023 Mosaic Sin
1715260092067.png
Mean = 144.9 , StandardDeviation = 4.7

Very clear separation.

What is interesting is that there is a factor 1.25 in the mean values between these two builds, but the standard deviations is only a factor 1.09 ...

Perhaps I should give this task to one of my math students next year for their diploma work...
 
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@Excalibur Well at least someone thinks I'm reasonable. My wife also questions my sanity! The difference between now and years past is that my best characters did no area damage, so it was one cow at a time.

@drmalawi There should be all sorts of math projects available using Diablo. The clutter does get horrible sometimes. In D2R I usually have show items on, but have to turn it sometimes so I can see the cows!
 
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@drmalawi I suspected simulations were the way to go, and thank you for running the simulations! For the purposes of comparing build efficiency, around how many standard deviations apart would you consider sufficient separation? For example, the mean between my 2024 Sorc and 2023 Sorc is so close together (difference of only 2), I wouldn't be able to confidently say the 2024 Sorc performed better.
 
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For the purposes of comparing build efficiency, around how many standard deviations apart would you consider sufficient separation?

It depends on what confidence you wanna say that build X is more efficient than build Y.

In my working field, elementary particle physics, you want 5 standard deviations apart in order to claim a "discovery" - which is like 1 in 3.5 millions. In many other fields of science, one or two standard deviations apart is enough to make such claim.
For example, the mean between my 2024 Sorc and 2023 Sorc is so close together (difference of only 2), I wouldn't be able to confidently say the 2024 Sorc performed better.
Yeah that is impossible to judge by the charm+jool counting method.

I know I made a program that simulates RFL scores in 2018. Perhaps I could merge that into these simulations and make estimates for "if you found X number of sc+gc+jools, what is the distribution of RFL scores?".
 
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