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Ok done [https://www.reddit.com/r/RimWorld/comments/ae1dc9/v10_crafted_item_quality_chances/] {{unsigned|‎Evzhy|01:22, 9 January 2019 (UTC)}}
 
Ok done [https://www.reddit.com/r/RimWorld/comments/ae1dc9/v10_crafted_item_quality_chances/] {{unsigned|‎Evzhy|01:22, 9 January 2019 (UTC)}}
  
::I'm new to the game, but how come noone here knew about a debug screen "Quality Generation Data" that shows all chances? {{unsigned|‎Evzhy|13:18, 9 January 2019 (UTC)}}
+
::I'm new to the game, but how come noone here knew about a debug screen "Quality Generation Data" that shows all chances?
 
 
So there is such a screen in dev mode. Maybe when I have the time I'll update the table. Alternatively, you can also help update it. '''[[User:PigeonGuru|PigeonGuru]]''', Strategist  ( [[User_talk:PigeonGuru|talk]] | [[Special:Contributions/PigeonGuru|contribs]] | [[Guides|assist]] ) 14:02, 9 January 2019 (UTC)
 
 
 
 
 
'''2021, Version 1.3.3117'''
 
 
 
A long time passed since this discussion. Are the current values still correct? I tried to check the "Quality generation data" in 1.3.3117 but I  couldn't access it. In 1.2.3062 I got the following:
 
 
 
[[File:Quality generation data 1.2.3062.png|Quality generation data 1.2.3062.png]]
 
 
 
It's not only rounded to two significant figures, it also differs in a lot of places by more than rounding errors. I suppose this in game table doesn't represent the actual chance but rather the percentage of items generated by the game. Can someone verify this? What is the actual formula? [[User:Ickputzdirwech|Ickputzdirwech]] ([[User talk:Ickputzdirwech|talk]]) 15:35, 3 October 2021 (UTC)
 
:I think the table that the game generated for you, and also the table on the [[Quality]] page right now, were found through simulating the creation of many items and counting the results. Since there's inevitably some variation to doing that, the results will be slightly off unless. I poked around in the source code to find the actual algorithm for determining quality, and tried simulating it myself: https://github.com/Cheldra/rimworld_stuff/blob/master/quality.py. I think it's either really hard, or else mathematically impossible, to find the probabilities analytically. The results with 10,000 simulations per level were about the same:<code>
 
:0 [64.83, 30.07, 4.91, 0.2, 0.0, 0.0]
 
:1 [43.31, 43.67, 12.12, 0.89, 0.02, 0.0]
 
:2 [20.25, 53.23, 23.47, 2.96, 0.09, 0.0]
 
:3 [9.1, 50.71, 33.41, 6.5, 0.27, 0.0]
 
:4 [4.78, 45.17, 39.52, 9.94, 0.58, 0.0]
 
:5 [2.24, 34.93, 47.05, 14.58, 1.18, 0.01]
 
:6 [0.93, 24.25, 52.16, 20.41, 2.23, 0.02]
 
:7 [0.42, 15.45, 53.47, 26.68, 3.9, 0.07]
 
:8 [0.13, 9.11, 50.67, 33.62, 6.32, 0.15]
 
:9 [0.06, 5.64, 46.85, 38.18, 9.02, 0.26]
 
:10 [0.02, 3.27, 40.52, 43.66, 12.05, 0.47]
 
:11 [0.01, 1.8, 32.13, 49.23, 16.08, 0.75]
 
:12 [0.0, 1.0, 24.74, 52.52, 20.54, 1.21]
 
:13 [0.0, 0.62, 19.91, 53.72, 24.18, 1.57]
 
:14 [0.0, 0.4, 15.68, 54.41, 27.31, 2.2]
 
:15 [0.0, 0.21, 12.17, 53.62, 31.24, 2.77]
 
:16 [0.0, 0.12, 9.24, 52.46, 34.43, 3.75]
 
:17 [0.0, 0.08, 6.89, 50.43, 37.93, 4.66]
 
:18 [0.0, 0.03, 5.04, 47.43, 41.3, 6.19]
 
:19 [0.0, 0.02, 3.57, 42.57, 46.24, 7.6]
 
:20 [0.0, 0.01, 2.44, 37.56, 50.4, 9.58]
 
:</code>[[User:Cheldra|Cheldra]] ([[User talk:Cheldra|talk]]) 23:40, 3 October 2021 (UTC)
 
 
 
::Ok just as I suspected. Thanks for the confirmation and the calculations! I checked the above linked reddit post again and the author states in this [https://www.reddit.com/r/RimWorld/comments/ae1dc9/comment/edo9lcg/?utm_source=share&utm_medium=web2x&context=3 comment], that the current values were also generated by a c++ program. There is no link to it or any mention of how many simulations they did, however. Your 10,000 simulations per level sound pretty solid. I'm tending to update the table with your values. Sure some variations are unavoidable but discrepancies of up to 0.3 (level 5, poor) seam quite high for that many simulations. [[User:Ickputzdirwech|Ickputzdirwech]] ([[User talk:Ickputzdirwech|talk]]) 10:30, 4 October 2021 (UTC)
 
 
 
:::In case you want it, here's also the means and std deviations observed after repeating those 10,000 simulations per skill level 10 times:
 
:::{| class="wikitable"
 
|-
 
! level !! 0 !! 1 !! 2 !! 3 !! 4 !! 5
 
|-
 
| 0 || 64.65+-0.1 || 30.16+-0.1 || 4.98+-0.04 || 0.21+-0.02 || 0.0+-0.0 || 0.0+-0.0
 
|-
 
| 1 || 43.44+-0.14 || 43.56+-0.13 || 12.11+-0.1 || 0.87+-0.02 || 0.02+-0.0 || 0.0+-0.0
 
|-
 
| 2 || 20.28+-0.14 || 53.18+-0.13 || 23.52+-0.08 || 2.93+-0.05 || 0.09+-0.01 || 0.0+-0.0
 
|-
 
| 3 || 9.14+-0.11 || 50.76+-0.17 || 33.39+-0.17 || 6.41+-0.07 || 0.29+-0.01 || 0.0+-0.0
 
|-
 
| 4 || 4.81+-0.06 || 45.18+-0.16 || 39.4+-0.17 || 10.0+-0.09 || 0.61+-0.02 || 0.01+-0.0
 
|-
 
| 5 || 2.26+-0.04 || 34.73+-0.08 || 47.14+-0.11 || 14.66+-0.11 || 1.2+-0.04 || 0.01+-0.0
 
|-
 
| 6 || 0.98+-0.03 || 24.24+-0.12 || 52.15+-0.13 || 20.39+-0.09 || 2.21+-0.04 || 0.03+-0.0
 
|-
 
| 7 || 0.38+-0.02 || 15.51+-0.12 || 53.32+-0.11 || 26.84+-0.12 || 3.87+-0.05 || 0.07+-0.01
 
|-
 
| 8 || 0.13+-0.01 || 9.01+-0.1 || 50.76+-0.1 || 33.52+-0.08 || 6.43+-0.07 || 0.15+-0.01
 
|-
 
| 9 || 0.06+-0.01 || 5.59+-0.08 || 46.97+-0.11 || 38.17+-0.08 || 8.94+-0.08 || 0.26+-0.01
 
|-
 
| 10 || 0.02+-0.0 || 3.33+-0.04 || 40.15+-0.1 || 43.84+-0.12 || 12.21+-0.04 || 0.45+-0.02
 
|-
 
| 11 || 0.01+-0.0 || 1.86+-0.05 || 32.17+-0.17 || 49.06+-0.11 || 16.14+-0.12 || 0.76+-0.02
 
|-
 
| 12 || 0.0+-0.0 || 1.0+-0.03 || 24.58+-0.1 || 52.66+-0.13 || 20.57+-0.11 || 1.19+-0.05
 
|-
 
| 13 || 0.0+-0.0 || 0.63+-0.03 || 19.99+-0.11 || 53.88+-0.2 || 23.88+-0.13 || 1.62+-0.03
 
|-
 
| 14 || 0.0+-0.0 || 0.4+-0.01 || 15.82+-0.09 || 54.27+-0.15 || 27.35+-0.14 || 2.15+-0.04
 
|-
 
| 15 || 0.0+-0.0 || 0.24+-0.01 || 12.29+-0.14 || 53.84+-0.21 || 30.78+-0.15 || 2.85+-0.07
 
|-
 
| 16 || 0.0+-0.0 || 0.14+-0.01 || 9.28+-0.09 || 52.38+-0.16 || 34.53+-0.17 || 3.67+-0.08
 
|-
 
| 17 || 0.0+-0.0 || 0.08+-0.01 || 6.91+-0.06 || 50.3+-0.12 || 37.93+-0.14 || 4.77+-0.1
 
|-
 
| 18 || 0.0+-0.0 || 0.04+-0.01 || 5.0+-0.04 || 47.67+-0.15 || 41.23+-0.17 || 6.06+-0.09
 
|-
 
| 19 || 0.0+-0.0 || 0.03+-0.0 || 3.54+-0.06 || 42.73+-0.16 || 46.04+-0.15 || 7.67+-0.08
 
|-
 
| 20 || 0.0+-0.0 || 0.01+-0.0 || 2.44+-0.06 || 37.4+-0.14 || 50.56+-0.1 || 9.58+-0.05
 
|}
 
:::I don't think updating the numbers on the page is a super high priority, but go ahead if you want.[[User:Cheldra|Cheldra]] ([[User talk:Cheldra|talk]]) 11:50, 4 October 2021 (UTC)
 
 
 
::::Done. And although most of the changes were minor the work wasn't for nothing. When calculating the average results I noticed that they were significantly of in the inspired specialist table. In hindsight fairly obvious. They were above 6, while 6.00 would mean 100% legendary items. [[User:Ickputzdirwech|Ickputzdirwech]] ([[User talk:Ickputzdirwech|talk]]) 10:43, 5 October 2021 (UTC)
 
 
 
== Character Quality ==
 
When non-colonist pawns show up on the map, if you select one and hit the "i"nformation icon on their popup, you can see their "market value". This is the base value for a human (1750) x a % based on their "character quality". This value varies to start with (I've seen 50%-112% in just a short time searching for examples), and then deteriorates with injuries (even just bruises).  Anyone know anything about this?  Found nothing in any Wiki article w/ the search-word "quality". This may be also related to "raids" and "slavery", but it seems to effect any/all pawns, so thought I'd start the topic here.[[User:Albedo|Albedo]] ([[User talk:Albedo|talk]]) 06:25, 27 February 2022 (UTC)
 
 
 
:Several factors affect it. A curve based on their capacities (as you mention because injuries will affect those capacities), pawn beauty, average skill levels (also curved), age but only the current stage not the number (Teenagers < Adults regardless of whether they're 35 or 105, and there are no vanilla baby humans), and several traits (abrasive for example subtracts 15% from char quality). If you want specifics, such as if you want to make a proper entry on [[Market Value]] or [[Slavery]] or just for your own edification, then you'll probably have to look at the PawnQualityPriceFactor and PawnQualityPriceOffset functions with dnSpy - I know the basics but not the specifics of how it all works. [[User:Harakoni|Harakoni (Wiki Moderator)]] ([[User talk:Harakoni|talk]]) 08:28, 27 February 2022 (UTC)
 

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