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:Any updates to the calculations are welcome! [[User:Margotbean|margotbean]] ([[User talk:Margotbean|talk]]) 13:41, 11 January 2022 (UTC)
 
:Any updates to the calculations are welcome! [[User:Margotbean|margotbean]] ([[User talk:Margotbean|talk]]) 13:41, 11 January 2022 (UTC)
   −
I updated the probabilities(some of them changed fairly substantially), but didn't adjust the E[income/day].
+
::I updated the probabilities(some of them changed fairly substantially), but didn't adjust the E[income/day]. --Unsigned comment by [[User:Mon|Mon]] ([[User talk:Mon|talk]]) 19:46, 12 January 2022
 +
:::Ok, thank you! If you could please sign future posts with 4 tildes, I'd be very grateful too! Thanks again, [[User:Margotbean|margotbean]] ([[User talk:Margotbean|talk]]) 13:06, 13 January 2022 (UTC)
 +
 
 +
==Updated Gold per Day==
 +
'''Freshwater'''
 +
<br />Trash = 37.272 * 0.38 = 14.163
 +
<br />Periwinkle = 20 * 0.21 = 4.2
 +
<br />Snail = 65 * 0.2 = 13
 +
<br />Crayfish = 75 * 0.21 = 15.75
 +
<br />14.163 + 4.2 + 13 + 15.75 = 47.113 <--Average gold/day
 +
 
 +
'''Ocean'''
 +
<br />Trash = 37.272 * 0.38 = 14.163
 +
<br />Oyster = 40 * 0.1 = 4
 +
<br />Shrimp = 60 * 0.1 = 6
 +
<br />Mussel = 30 * 0.1 = 3
 +
<br />Cockle = 50 * 0.12 = 6
 +
<br />Crab = 100 * 0.08 = 8
 +
<br />Clam = 50 * 0.09 = 4.5
 +
<br />Lobster = 120 * 0.04 = 4.8
 +
<br />14.163 + 4 + 6 + 3 + 6 + 8 + 4.5 + 4.8 = 50.463 <--Average gold/day
 +
 
 +
'''Mariner Profession + Turning all fish into Sashimi'''
 +
<br />No change from above
 +
<br />Ocean average: 75+75+75+75+100+50+120=570/7=81.4
 +
<br />Fresh average: 75+75+75=225/3=75
 +
<br />--[[User:Margotbean|margotbean]] ([[User talk:Margotbean|talk]]) 13:26, 13 January 2022 (UTC)
 +
 
 +
== Calculating the gold per day ==
 +
 
 +
Hey
 +
 
 +
I wrote a program that is able to calculate the exact profit you make using crab pots. For some reason I am not allowed to post a direct link to that program. It is on github (username guslav, project StardewValleyCrabPot)
 +
 
 +
The program provides the probability trees to be printed out for a anyone to recheck the number's.
 +
This helped me to create the following table
 +
{| class="wikitable"
 +
|
 +
! [[Skills#Fishing|Luremaster]] or no Fishing Profession
 +
! [[Skills#Fishing|Fisher]]
 +
! [[Skills#Fishing|Fisher/Angler]]
 +
! [[Skills#Fishing|Mariner]]
 +
! [[Skills#Fishing|Fisher/Angler]] & [[Skills#Fishing|Mariner]]
 +
|-
 +
! Ocean
 +
| 35.63
 +
| 43.34
 +
| 51.27
 +
| 64.29
 +
| 92.86
 +
|-
 +
! Ocean + [[Sashimi]]
 +
| 48.03
 +
| 51.13
 +
| 55.71
 +
| 81.43
 +
| 99.29
 +
|-
 +
! Freshwater
 +
| 33.04
 +
| 41.09
 +
| 49.36
 +
| 53.33
 +
| 79.67
 +
|-
 +
! Freshwater + [[Sashimi]]
 +
| 46.84
 +
| 51.82
 +
| 59.01
 +
| 75.00
 +
| 94.67
 +
|}
 +
 
 +
the cost for bait is excluded. Rows with Sashimi assume that you turn every fish worth less then 75g into sashimi before selling. The column [[Skills#Fishing|Fisher/Angler]] & [[Skills#Fishing|Mariner]] assumes that you picked Mariner as your fishing profession, collect fish for a long time in a chest and sell it all at ones when you have the Angler profession (using the statue of uncertainty). The 10.000g is excluded.
 +
 
 +
It is also assumed that you do not recycle the trash for extra profit. Otherwise you can add following extra profit:
 +
{| class="wikitable"
 +
|
 +
! [[Skills#Farming|Agriculturist]] or no Farming Profession 
 +
! [[Skills#Farming|Rancher]]
 +
! [[Skills#Farming|Artisan]]
 +
|-
 +
! Ocean
 +
| 14.14
 +
| 14.86
 +
| 15.57
 +
|-
 +
! Freshwater
 +
| 13.98
 +
| 14.69
 +
| 15.39
 +
|}
 +
I would like to put these tables on the wiki replacing [[Crab Pot#Gold per Day|Gold per Day]] on the Crab Pot site.
 +
 
 +
Thank you
 +
--Unsigned post by [[User:Fella|Fella]] ([[User talk:Fella|talk]]) 23:31, 20 January 2023 (UTC)
 +
 
 +
:I can see that you put a lot of effort into this topic! However, when I asked you to provide the calculations, I meant that you need to somehow filter out the calculations used, and type or copy/paste them to the wiki. The data needs to be verifiable without downloading and running a program.
 +
:Please note that the calculations and any resulting numbers should be made as brief as possible -- see the above sections for examples.
 +
:Additionally, I don't think you've fully addressed the issue of the 10,000g it costs to change professions. Readers must decide what the break-even point is for themselves. This detracts from the usefulness of the entire section. [[User:Margotbean|margotbean]] ([[User talk:Margotbean|talk]]) 20:19, 21 January 2023 (UTC)
 +
 
 +
:: I'm ok with leaving out the column angler and mariner.
 +
:: Second: Why are the results different to the previous ones? The ones already published are using the probabilities from the wiki and these have only 1 significant digit. On the other hand I calculate with fraction's to avoid any rounding untill the very end.
 +
:: Next point show the calculations: The problem is, that the calculations are simply long. I made a subfolder on my github with the calculations. The files will show you the exact probability tree (crab pot results+recycling machine results). For example you want to see how much profit you make in Ocean, under fisher and artisan profession, without turning into sashimi and with selling recycling goods you can look into the file ''calculations/InOcean_Artisan_Fisher_NoSashimi.txt''. The file looks like this:
 +
 
 +
 
 +
 
 +
    You would make a profit of (184103173621/3125000000) ≈ 58.91 gold every day.
 +
    The number can be obtained by the following probability tree. Just add the product of probability and selling value of any leaf in the tree together and you will get the number 58.91.
 +
   
 +
    (4/5) ≈ 80.0%
 +
    +-->(1/20) ≈ 5.0%
 +
    |      Lobster has a probability of (1/25) ≈ 4.0% and a selling value of 150. Product of both: (6/1) ≈ 6.00
 +
    +-->(19/20) ≈ 95.0%
 +
        +-->(1/10) ≈ 10.0%
 +
        |      Crab has a probability of (19/250) ≈ 7.6% and a selling value of 125. Product of both: (19/2) ≈ 9.50
 +
        +-->(9/10) ≈ 90.0%
 +
            +-->(3/20) ≈ 15.0%
 +
            |      Oyster has a probability of (513/5000) ≈ 10.2% and a selling value of 50. Product of both: (513/100) ≈ 5.13
 +
            +-->(17/20) ≈ 85.0%
 +
                +-->(3/20) ≈ 15.0%
 +
                |      Clam has a probability of (8721/100000) ≈ 8.7% and a selling value of 50. Product of both: (8721/2000) ≈ 4.36
 +
                +-->(17/20) ≈ 85.0%
 +
                    +-->(1/5) ≈ 20.0%
 +
                    |      Shrimp has a probability of (49419/500000) ≈ 9.8% and a selling value of 75. Product of both: (148257/20000) ≈ 7.41
 +
                    +-->(4/5) ≈ 80.0%
 +
                        +-->(3/10) ≈ 30.0%
 +
                        |      Cockle has a probability of (148257/1250000) ≈ 11.8% and a selling value of 62. Product of both: (4595967/625000) ≈ 7.35
 +
                        +-->(7/10) ≈ 70.0%
 +
                            +-->(7/20) ≈ 35.0%
 +
                            |      Mussel has a probability of (2421531/25000000) ≈ 9.6% and a selling value of 37. Product of both: (89596647/25000000) ≈ 3.58
 +
                            +-->(13/20) ≈ 65.0%
 +
                                +-->(1/5) ≈ 20.0%
 +
                                |  +-->(49/100) ≈ 49.0%
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |  |      1xStone has a probability of (73453107/12500000000) ≈ 0.5% and a selling value of 2. Product of both: (73453107/6250000000) ≈ 0.01
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |  |      2xStone has a probability of (73453107/12500000000) ≈ 0.5% and a selling value of 4. Product of both: (73453107/3125000000) ≈ 0.02
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |          3xStone has a probability of (73453107/12500000000) ≈ 0.5% and a selling value of 6. Product of both: (220359321/6250000000) ≈ 0.03
 +
                                |  +-->(3/10) ≈ 30.0%
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |  |      1xCoal has a probability of (4497129/1250000000) ≈ 0.3% and a selling value of 15. Product of both: (13491387/250000000) ≈ 0.05
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |  |      2xCoal has a probability of (4497129/1250000000) ≈ 0.3% and a selling value of 30. Product of both: (13491387/125000000) ≈ 0.10
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |          3xCoal has a probability of (4497129/1250000000) ≈ 0.3% and a selling value of 45. Product of both: (40474161/250000000) ≈ 0.16
 +
                                |  +-->(21/100) ≈ 21.0%
 +
                                |      +-->(1/3) ≈ 33.3%
 +
                                |      |      1xIronOre has a probability of (31479903/12500000000) ≈ 0.2% and a selling value of 10. Product of both: (31479903/1250000000) ≈ 0.02
 +
                                |      +-->(1/3) ≈ 33.3%
 +
                                |      |      2xIronOre has a probability of (31479903/12500000000) ≈ 0.2% and a selling value of 20. Product of both: (31479903/625000000) ≈ 0.05
 +
                                |      +-->(1/3) ≈ 33.3%
 +
                                |              3xIronOre has a probability of (31479903/12500000000) ≈ 0.2% and a selling value of 30. Product of both: (94439709/1250000000) ≈ 0.07
 +
                                +-->(1/5) ≈ 20.0%
 +
                                |  +-->(3/4) ≈ 75.0%
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |  |      1xWood has a probability of (4497129/500000000) ≈ 0.8% and a selling value of 2. Product of both: (4497129/250000000) ≈ 0.01
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |  |      2xWood has a probability of (4497129/500000000) ≈ 0.8% and a selling value of 4. Product of both: (4497129/125000000) ≈ 0.03
 +
                                |  |  +-->(1/3) ≈ 33.3%
 +
                                |  |          3xWood has a probability of (4497129/500000000) ≈ 0.8% and a selling value of 6. Product of both: (13491387/250000000) ≈ 0.05
 +
                                |  +-->(1/4) ≈ 25.0%
 +
                                |      +-->(1/3) ≈ 33.3%
 +
                                |      |      1xCoal has a probability of (1499043/500000000) ≈ 0.2% and a selling value of 15. Product of both: (4497129/100000000) ≈ 0.04
 +
                                |      +-->(1/3) ≈ 33.3%
 +
                                |      |      2xCoal has a probability of (1499043/500000000) ≈ 0.2% and a selling value of 30. Product of both: (4497129/50000000) ≈ 0.08
 +
                                |      +-->(1/3) ≈ 33.3%
 +
                                |              3xCoal has a probability of (1499043/500000000) ≈ 0.2% and a selling value of 45. Product of both: (13491387/100000000) ≈ 0.13
 +
                                +-->(1/5) ≈ 20.0%
 +
                                |  +-->(9/10) ≈ 90.0%
 +
                                |  |  +-->(1/1) ≈ 100.0%
 +
                                |  |          3xTorch has a probability of (40474161/1250000000) ≈ 3.2% and a selling value of 15. Product of both: (121422483/250000000) ≈ 0.48
 +
                                |  +-->(1/10) ≈ 10.0%
 +
                                |      +-->(1/1) ≈ 100.0%
 +
                                |              1xCloth has a probability of (4497129/1250000000) ≈ 0.3% and a selling value of 658. Product of both: (1479555441/625000000) ≈ 2.36
 +
                                +-->(1/5) ≈ 20.0%
 +
                                |  +-->(1/1) ≈ 100.0%
 +
                                |      +-->(1/1) ≈ 100.0%
 +
                                |              1xQuarz has a probability of (4497129/125000000) ≈ 3.5% and a selling value of 50. Product of both: (4497129/2500000) ≈ 1.79
 +
                                +-->(1/5) ≈ 20.0%
 +
                                    +-->(1/1) ≈ 100.0%
 +
                                        +-->(1/1) ≈ 100.0%
 +
                                                1xQuarz has a probability of (4497129/125000000) ≈ 3.5% and a selling value of 50. Product of both: (4497129/2500000) ≈ 1.79
 +
    (1/5) ≈ 20.0%
 +
    +-->(1/5) ≈ 20.0%
 +
    |  +-->(49/100) ≈ 49.0%
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |  |      1xStone has a probability of (49/7500) ≈ 0.6% and a selling value of 2. Product of both: (49/3750) ≈ 0.01
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |  |      2xStone has a probability of (49/7500) ≈ 0.6% and a selling value of 4. Product of both: (49/1875) ≈ 0.02
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |          3xStone has a probability of (49/7500) ≈ 0.6% and a selling value of 6. Product of both: (49/1250) ≈ 0.03
 +
    |  +-->(3/10) ≈ 30.0%
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |  |      1xCoal has a probability of (1/250) ≈ 0.4% and a selling value of 15. Product of both: (3/50) ≈ 0.06
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |  |      2xCoal has a probability of (1/250) ≈ 0.4% and a selling value of 30. Product of both: (3/25) ≈ 0.12
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |          3xCoal has a probability of (1/250) ≈ 0.4% and a selling value of 45. Product of both: (9/50) ≈ 0.18
 +
    |  +-->(21/100) ≈ 21.0%
 +
    |      +-->(1/3) ≈ 33.3%
 +
    |      |      1xIronOre has a probability of (7/2500) ≈ 0.2% and a selling value of 10. Product of both: (7/250) ≈ 0.02
 +
    |      +-->(1/3) ≈ 33.3%
 +
    |      |      2xIronOre has a probability of (7/2500) ≈ 0.2% and a selling value of 20. Product of both: (7/125) ≈ 0.05
 +
    |      +-->(1/3) ≈ 33.3%
 +
    |              3xIronOre has a probability of (7/2500) ≈ 0.2% and a selling value of 30. Product of both: (21/250) ≈ 0.08
 +
    +-->(1/5) ≈ 20.0%
 +
    |  +-->(3/4) ≈ 75.0%
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |  |      1xWood has a probability of (1/100) ≈ 1.0% and a selling value of 2. Product of both: (1/50) ≈ 0.02
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |  |      2xWood has a probability of (1/100) ≈ 1.0% and a selling value of 4. Product of both: (1/25) ≈ 0.04
 +
    |  |  +-->(1/3) ≈ 33.3%
 +
    |  |          3xWood has a probability of (1/100) ≈ 1.0% and a selling value of 6. Product of both: (3/50) ≈ 0.06
 +
    |  +-->(1/4) ≈ 25.0%
 +
    |      +-->(1/3) ≈ 33.3%
 +
    |      |      1xCoal has a probability of (1/300) ≈ 0.3% and a selling value of 15. Product of both: (1/20) ≈ 0.05
 +
    |      +-->(1/3) ≈ 33.3%
 +
    |      |      2xCoal has a probability of (1/300) ≈ 0.3% and a selling value of 30. Product of both: (1/10) ≈ 0.10
 +
    |      +-->(1/3) ≈ 33.3%
 +
    |              3xCoal has a probability of (1/300) ≈ 0.3% and a selling value of 45. Product of both: (3/20) ≈ 0.15
 +
    +-->(1/5) ≈ 20.0%
 +
    |  +-->(9/10) ≈ 90.0%
 +
    |  |  +-->(1/1) ≈ 100.0%
 +
    |  |          3xTorch has a probability of (9/250) ≈ 3.6% and a selling value of 15. Product of both: (27/50) ≈ 0.54
 +
    |  +-->(1/10) ≈ 10.0%
 +
    |      +-->(1/1) ≈ 100.0%
 +
    |              1xCloth has a probability of (1/250) ≈ 0.4% and a selling value of 658. Product of both: (329/125) ≈ 2.63
 +
    +-->(1/5) ≈ 20.0%
 +
    |  +-->(1/1) ≈ 100.0%
 +
    |      +-->(1/1) ≈ 100.0%
 +
    |              1xQuarz has a probability of (1/25) ≈ 4.0% and a selling value of 50. Product of both: (2/1) ≈ 2.00
 +
    +-->(1/5) ≈ 20.0%
 +
        +-->(1/1) ≈ 100.0%
 +
            +-->(1/1) ≈ 100.0%
 +
                    1xQuarz has a probability of (1/25) ≈ 4.0% and a selling value of 50. Product of both: (2/1) ≈ 2.00
 +
::--Unsigned post by [[User:Fella|Fella]] ([[User talk:Fella|talk]]) 05:57, 23 January 2023 (UTC)
 +
:::Hey Fella, if you could sign your posts with 4 tildes <nowiki>~~~~</nowiki>, that would help a lot.
 +
:::So, if you eliminate the columns involved with changing professions, the numbers are basically the same as what's on the page already. I don't think a second decimal place is particularly helpful when you're talking about such low profits.
 +
:::The other changes, if I have this right, are that you've added Mariner + Ocean/Freshwater without Sashimi, and separated trash recycling into a separate table that shows Farming profession differences. (Differences of 1-2 gold per day). For those changes, you need to link to huge probability tables that are located external to the wiki.
 +
:::I'm not sure any of that is worth the changes you're proposing. I believe the profits are so small, that one paragraph is sufficient. It gives the readers the idea that crab pots can be profitable, which is bascially the whole point. [[User:Margotbean|margotbean]] ([[User talk:Margotbean|talk]]) 02:03, 24 January 2023 (UTC)
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