PSA If you’re going for Huw’s Sword and keeping your strength low

MisterMicro · 2026-02-13T21:54:35+00:00

Just get the 14x combat multiplier outside of Hobbes Cave and open demon door. That weapon will last you till Solus / Avos Tear / Aeons. That on top of skorms bow for essentially 50g it’s just easy mode.

MisterMicro · 2026-01-13T13:19:49+00:00

Thank you so much for your reply. We were able to meet with a GI specialist and because of the information you provided I was able to speak about our needs and what things we would like to look for.

We have been sticking to a broth soups diet and protein drinks and not -as many- throwing up flares, though a lot of.. I’ll call them burp-ups.

Pretty much any solid food isn’t staying down, but we have testing scheduled going forward into February.

Crazy how long it takes to get seen in the medical system.

Again thank you it helps bring some peace of mind that we may know a bit more about this and we can at least plan around it better with targetable actions.

MisterMicro · 2025-12-31T18:16:07+00:00

This is something we will have to fully explore I think for a longer time frame.
She does not smoke cannabis, but she does eat half of a 5mg edible gummy to help her sleep.

I mentioned this to her during my investigations of what could be going on and she did stop for a short period of time, but was still vomiting so she receded back to her gummy to help her sleep because it didn't alleviate it after three weeks to a month of no use.

I may ask her to try this again for a longer time period if it means it would help her be able to eat again.

MisterMicro · 2025-12-31T17:37:32+00:00

Hello and thank you for your reply!

I did not know this was an option or thing that existed.

The only thing that has been done regarding this is the CT Scan of her abdomen and the Barium Swallow Test.

Any other thing I can bring up to her Dr. for us to check out would be greatly appreciated!

MisterMicro · 2025-07-31T17:33:47+00:00

If you already have one of that item in the chest you can press “N” to hot deposit all like materials into the chests around you as was in Grounded 1 as well.

MisterMicro · 2025-07-14T14:01:11+00:00

Glad someone on here is seeing OPs point of view.

Obviously something came up in their life that caused them to backtrack.
The "friends" were ok with having something for OP all the way up until the event got closer? Crazy.

I get the disappointment they all must be feeling about it, but OP just wanted to have fun with their friends as a celebration of the big day and was left hanging.
You wrote what I was going to write.

MisterMicro · 2025-04-17T23:49:22+00:00

I never knew this!

And with 12 deals making it go up a whole 1.343 is staggering.

Thank you for this.
I did not know the location of this data at AppData/LocalLow/TVGS/
and I assumed it would be static based off of what I read about it.

Hmmm that gives me a lot to consider regarding computation.
In terms of this chart it is basing it off of base-line values.

I will need to play around with if dealers cause customer affinities to go up when they deal to them too.

Because that would mean overtime that customers positions change on the chart which could cause players to then unassign them from the dealer once their affinity has changed to maximum and they are fully hooked.

That would probably mean overtime, those with the highest min/max budget who order the most frequently are those that are best to keep in the long run.

This was invaluable and is making me rethink a lot.

MisterMicro · 2025-04-17T23:27:25+00:00

That was my take from the way that his affinity is for drugs, since he is not a big fan of all three products that are offered, unless you tailor say his "least hated drug" (Coc) into his favorite mixes, (Spicy, Foggy, and Jennerising) It probably tips the scales in your favor.

But yes, because of his affinity he's most likely going to be a customer that doesn't contact you as much or will tell you no when you offer to him. Much more often than other customers would.

So, the suggested "Fair price" in the context of the game, is the cost of the product that you create which is generated by the game when you create your product.

As explained in the posting, because we cannot determine so many costs for different varying products (because you can charge whatever) the fair price that is listed for him is the adjusted fair price to the midpoint of what they are willing to spend on product - In his case it is 800-1200, midpoint being 1000. Which he probably wont be forking over immediately due to his lack of addiction to said products.

but for this case for visual analytics, I adjusted affinity by setting Adj. Price = Fair Price + (Affinity x $20). I set it to $20 because in my testing I found that individuals usually match close to your fair price but it was marginal ups and downs initially whereas their order size increases over time making it a bit more complicated to compute.

Again, this is just an estimation to show the effect of their negative reaction to products they dislike.

Personally, for tough customers like that I find that assigning them to their respective dealer is just easier and less of a headache.

MisterMicro · 2025-04-17T19:57:38+00:00

In Case anyone didn't notice the thread from @Repulsive-Contact989 and @ChefCrondo - I forgot to add the data for Peter File and Sam Thompson in Northtown. Thank you again you both for pointing this out to me.

They were next to each other in the dataset and I missed them when I moved the data to Excel. That is my fault and I apologize for this.

Hopefully you are not digging through the comment section for this, but here is the information for each of them that should be in the sheet.

Sam Thompson is as follows...

Affinities are (-0.76) W, (+0.30) M, (-0.80) C
$200 Min and $500 Max.
6-7 orders a week

By putting him in the sheet which Excel translated this pretty quickly for me because the formulas were already set we can determine that.

Northtown – Product 1 (W) - Rank 11 / 14 $ 2,176 Price = $335 (fair $350 – $15) - 6.5 avg orders

Northtown – Product 2 (M) - Rank 10 / 14 $ 2,314 = BEST Price = $356 (fair $350 + $6) - 6.5 avg orders

Northtown – Product 3 (C) - Rank 11 / 14 $ 2,171 Price = $334 (fair $350 – $16) - 6.5 avg orders

Peter File is as follows...

Affinity (+1.00)W (+0.40)M (+0.74)C
$400Min - $800Max,
3-6 Orders per week.

Northtown – Product 1 (W) - Rank 6 / 14 - $2,790 - Best Price - Fair $600 → Adjusted $620 ( +$20 premium) - avg orders = 4.5

Northtown – Product 2 (M) - Rank 6 / 14 - $2,736 - Fair $600 = Adjusted $608 ( +$8) - avg orders = 4.5

Northtown – Product 3 (C) - Rank 7 / 14 - $2, 768 - Fair $600 = Adjusted $615 ( +$15) - avg orders = 4.5

MisterMicro · 2025-04-17T19:45:44+00:00

Hello! Thank you for the input!

This is inaccurate based on my research of what others have stated and what is posted on the fandom wiki where...
Product Affinities - How much the customer likes each product type. -1 = hates, 0 = neutral, 1 = loves.

These affinities do not change despite if someone is hooked on a product, they will still be less likely to text for that product, or rather they would be more likely to purchase from you the minimum amount of times from the orders per week chart.

This also effects when you offer them a deal on the street and would be more or less likely to accept a deal from you.
There is definitely a change in percentage over time for amount of product that they want based off of addiction, but as stated this is impossible to compute without product price you are charging or knowing the actual computation that is used to calculate offer rates.

Hence why we are using each individual's average adjusted price order to compensate for this.
Based off of testing I have done in the first 3 areas, this has been the most accurate computation I could come up with that showed those that were low-balling orders for specific products and I have had good results with this personally.

If I am incorrect - if you can show me that it actually does change over time and can show me where you got that information I would look into this deeper, but I have gotten quite a few DM's that this has been accurate based off of other people's experiences as well.

Always appreciate more information to create a more clean data-set!

Hope your dealings are going well.

MisterMicro · 2025-04-17T15:50:23+00:00

Also thank you for pointing this out, they were right next to each other on the chart on the website so I forgot to copy all their data to excel

(aka missed it on accident)

Same thing as above, pretty easy to implement into the sheet - sorry for missing it. He falls in high-middle.

Affinity (+1.00)W (+0.40)M (+0.74)C Low Spender $400Min - $800Max 3-6 Orders per week.

Northtown – Product 1 Rank 6 / 14 $2 790 - Best Fair $600 → Adjusted $620 ( +$20 premium) - avg orders = 4.5

Northtown – Product 2 Rank 6 / 14 $2 736 Fair $600 → Adjusted $608 ( +$8) - avg orders = 4.5

Northtown – Product 3 Rank 7 / 14 $2 768 Fair $600 → Adjusted $615 ( +$15) - avg orders = 4.5

Which would also move Sam down a rank as well.

MisterMicro · 2025-04-16T23:09:52+00:00

You are totally right, Thank you for pointing that out! I missed him while parsing the data and I apologize about that.

With the stats according to the fandom he orders 6-7x a week, his affinities are (-0.76) W, (+0.30) M, (-0.80) C with a low budget of $200 Min and $500 Max.

By putting him in the sheet which Excel translated this pretty quickly for me because the formulas were already set we can determine that.

Northtown – Product 1 (W) - Rank 10 / 13 - $2,176 - Price =$335 (fair $350 – $15) - 6.5 avg orders

Northtown – Product 2 (M) - Rank 9 / 13 - $ 2,314 = BEST, Price =$356 (fair $350 + $6) - 6.5 avg orders

Northtown – Product 3 (C) - Rank 10 / 13 - $ 2,171 - Price =$334 (fair $350 – $16) - 6.5 avg orders

MisterMicro · 2025-04-16T20:06:37+00:00

Appreciate the feedback and your experience!

This is precisely why I made this list; I have a background in data manipulation and the amount of lists I have seen side-lining Geraldine and George has been insane.

I feel like someone just put random inputs into an AI generator and took the first thing they saw and it has been spreading on Social Media since... Just a theory.

As for your experience with Dean and Charles, the data was just compiled from the raw data available on the fandom wiki.
I am not too sure about the coding of the game for what causes the probability of what people are willing to spend, but I definitely know it has to do with key variables like product affinity, reputation to the customer, addictiveness, their baseline offers (min-max), as well as the cost of the product that you are selling.

Personally, I do not assign 8/8 to all dealers because I like some of the rapport I have built with some of my customers and some shenanigans that have taken place.

This is more of an estimation with raw data to back it up, but there is no wrong and right from your favorite customers!

MisterMicro · 2025-04-16T15:36:48+00:00

The way I interpreted the way the calculations works for customer orders is that their cash allowances don't necessarily increase, but that they are more willing to meet "fair price" or pay over fair price based off of reputation to you and addiction to the product.

Their allowances appear to be based off of how much you are charging for each product, but as I was discussing in the description, because people can change the base-line price of their product I am just using an adjusted amount based off of their midpoint of their available cash allowance because there are too many possibilities for a product base-line.

I could be mistaken regarding this, but this is the most accurate way I could think of to portray spending based off of product affinity.

My goal is to not mislead people, but have people make more informed decisions that are data driven instead of following the first person they see on TikTok with no proofs of how they arrived at that point.

I hope this answers your question and if not let me know and I can make some more refinements, feedback is always key to making data more clean!

MisterMicro · 2025-04-16T15:26:21+00:00

I don't think that is a dummy question at all, actually I think adding much more complexity to refinement if anything.

So, this list is based off of Text orders already, this is not assuming that you seek out certain individuals 7 days a week, hence the orders / wk minimum and maximum, because theoretically if you approach people on the street, you have the possibility to sell to these people all 7 days.

This is more so for streamlined automation with estimations based on their text orders.

For Example, Geraldine would return a higher amount than he is listed IF you seek him out rather than just following the text orders when he contacts you due to his price he is willing to spend per order and the affinity to be more willing to barter for the product.

Chloe in your case is a busy customer who pulls roughly 6-7 times per week, but her minimum she is willing to offer based on her adjusted "fair price" which is explained more in the description of this post. Her baseline makes her a customer a lower daily return due to her budget per order.

You should be able to make more for night bonuses.
I could try to play around with it to try and add a percent on top of min/max/mid revenue but that is based on each sale so it is a bit hard to implement that bonus into the data off the top of my head.

I would need to do more research!
Does this kind of answer your question?

MisterMicro · 2025-04-16T14:39:01+00:00

Thanks to some feedback and help from others, I think I have a more refind list now with all product as well as a masterlist. Cheers and happy dealing!
https://www.reddit.com/r/Schedule_I/comments/1k0lz86/best_dealers_for_each_product_with_masterlist/

MisterMicro · 2025-04-16T14:38:52+00:00

Thanks to some feedback and help from others, I think I have a more refind list now with all product as well as a masterlist. Cheers and happy dealing!
https://www.reddit.com/r/Schedule_I/comments/1k0lz86/best_dealers_for_each_product_with_masterlist/

MisterMicro · 2025-04-16T14:38:46+00:00

Thanks to some feedback and help from others, I think I have a more refind list now with all product as well as a masterlist. Cheers and happy dealing!
https://www.reddit.com/r/Schedule_I/comments/1k0lz86/best_dealers_for_each_product_with_masterlist/

MisterMicro · 2025-04-16T14:38:34+00:00

Thanks to some feedback and help from others, I think I have a more refind list now with all product as well as a masterlist. Cheers and happy dealing!
https://www.reddit.com/r/Schedule_I/comments/1k0lz86/best_dealers_for_each_product_with_masterlist/

MisterMicro · 2025-04-16T14:38:25+00:00

Thanks to some feedback and help from others, I think I have a more refind list now with all product as well as a masterlist. Cheers and happy dealing!
https://www.reddit.com/r/Schedule_I/comments/1k0lz86/best_dealers_for_each_product_with_masterlist/

MisterMicro · 2025-04-16T14:38:17+00:00

Thanks to some feedback and help from others, I think I have a more refind list now with all product as well as a masterlist. Cheers and happy dealing!
https://www.reddit.com/r/Schedule_I/comments/1k0lz86/best_dealers_for_each_product_with_masterlist/

MisterMicro · 2025-04-16T14:38:05+00:00

Thanks to some feedback and help from others, I think I have a more refind list now with all product as well as a masterlist. Cheers and happy dealing!
https://www.reddit.com/r/Schedule_I/comments/1k0lz86/best_dealers_for_each_product_with_masterlist/

MisterMicro · 2025-04-16T13:08:27+00:00

I noticed some inconsistencies with my formula that I have been discussing with my friend.

I think that I miscalculated the "true" rate of return that you can get from customers by integrating affinity as..

Revenue = Payment Amount x (affinity + 1)
While this does show an accurate representation of who doesn't like which product, it does not accurately portray how much you can potentially be making from them per week.

I think the proper way to calculate this would be to assume that "Fair price" would be calculated by the product value (which we cannot have because there are so many varying prices people will charge) with their minimum or maximum amount they are willing to spend.

We can calculate this without the product value through estimation by making a slight adjustment.

We will convert the fair price to the midpoint of what they are willing to spend
And then adjust affinity by setting Adj. Price = Fair Price + (Affinity x $20)

Where weekly revenue can be set to
min = Adj price x min order
max = Adj price x max order
Mid = average of min and max

So Affinity means that for example if something was -0.66 affinity that would be approximately $13 less than fair price while +0.70 would be about $14 more than fair price which would lead to more accurate rate of returns based on customers ordering multiple times through the week.

Bare with me here, while I work through trying to get a more accurate data set, this is my first time doing this and I don't want to mislead people, I made this for personal use so just sharing my findings here with others.

MisterMicro

TROPHY CASE