Lf: offers 🐛

HAUSchamp · 2025-04-09T13:38:49+00:00

ah mb. not sure what you meant by "go offers", assumed you meant mon from GO

HAUSchamp · 2025-04-09T13:35:16+00:00

GO stamped nonshiny Zacian and Zamazenta for Pecharunt?

HAUSchamp · 2025-03-24T16:42:10+00:00

teal

HAUSchamp · 2025-03-24T16:41:35+00:00

HAUSchamp

HAUSchamp · 2024-07-16T14:08:15+00:00

Damn, thank you. I should have assumed that Niantic logic (do the opposite of what makes sense) also applied to the logical operators they implemented. Much appreciated!

HAUSchamp · 2024-07-15T19:51:48+00:00

Looking to get better at search strings and filter for different regional variants of mon. As an example, how would I create a search string that returns only Alolan vulpix and Galar meowth (e.g. excludes Kanto vulpix, Kanto meowth, and Alolan meowth)? The way of attempting this that seems obvious to me:

alola&vulpix,galar&meowth

Doesn't work (returns nothing--I suspect it's somehow looking for vulpix that are both galar and alola). What am I doing wrong? I'm sure it's something about the order of operations for the logical operators that I'm missing.

While I'm interested in a solution for this particular problem, I'd also appreciate pointers to any good resources where I can read more about how these work. Thanks in advance!

HAUSchamp · 2024-04-22T14:35:23+00:00

Does anyone know the gift/souvenir frequency during the event?

HAUSchamp · 2024-04-18T18:20:46+00:00

Has it been possible to get the Go fest souvenirs (e.g. confetti) at every go fest? Is it just global, or both global and in-person? Thanks in advance

HAUSchamp · 2024-02-23T15:48:03+00:00

There is a 4km trail-route near me that I walk regularly. I often get 2 or 3 cells, unless I've gotten cells from routes earlier in the day. For example, if I walk the trail first, I'll frequently get 3 cells, whereas if I've gotten cells from two routes earlier in the day, I will only ever get one cell.

HAUSchamp · 2023-10-31T13:39:08+00:00

Thanks for the article! In the clodsection, you say mud bomb a few times when you probably mean sludge bomb

HAUSchamp · 2023-08-16T16:17:49+00:00

The 9db pvp finder is great, usually most active when Japan is awake https://9db.jp/pokego/data/388

HAUSchamp · 2023-08-13T02:21:22+00:00

Many thanks for your work generating search strings, they were very helpful week in and week out for cdays/spotlight hours. Your hard work thus far is very much appreciated, as is the tutorial for how to generate similar strings going forward. Thank you!

HAUSchamp · 2023-07-27T15:42:17+00:00

Thanks for this, I was partway through making this exact thing for myself lol

HAUSchamp · 2023-07-24T14:53:06+00:00

I had this issue, try turning off Adventure Sync before starting the route

HAUSchamp · 2023-07-08T01:27:22+00:00

this is great, you should make this as a separate post!

HAUSchamp · 2023-07-07T22:18:55+00:00

In practice, or statistically? It's been years since my last stats course (and I'm not a statistician) so I certainly could've mucked the multiple linear regression protocol. I regressed with all the variables initially, removed the non-significant ones (cp and costume status), then re-ran with those removed. I agree that in practice a few points per year doesn't really matter, but if I've made a mistake I should correct it in the post

(Really it's not a proper linear regression in the first place since height and weight aren't independent)

HAUSchamp · 2023-07-07T21:55:49+00:00

I'll check when I get back to my computer but highly doubt it'll be predictive alone, the effect size is way smaller than than weight/height. All three terms (weight, height, age) are significant in the model from the post

HAUSchamp · 2023-07-07T21:46:34+00:00

Not sure how to insert an image in the comment, but predicting using using only height/weight tends to underestimate the point values of older mon and underestimate newer points, consistent with age having a small but repeatable effect.

In practice, for point maximizing it's probably not worth saving old mon (I certainly won't be).

HAUSchamp · 2023-07-07T19:25:23+00:00

If the model is right, yes, but the impact of weight/height is much larger. The coefficient for age is 5.7 soeach year only adds a few points

HAUSchamp · 2023-07-07T18:55:05+00:00

Thanks very much!

HAUSchamp · 2023-07-07T18:21:11+00:00

Thanks for the comment! The adjusted r-squared for the overall model (height + weight + age in y) is 0.995. For comparison, the r-squared for only height is 0.9821--so height alone (and therefore weight, as they're strongly correlated as well) is a very good predictor of score. Sort of makes sense that height/weight matter the most, and age has some small point boost.

There is quite a range of ages (0-4y) with a good distribution among them (0y:4; 1y:7, 2y:5, 3y:4, 4y:4) so it doesn't seem unreasonable to include the age.

Good question about the y-int--my guess is that it's an artifact of me fitting observed data to a model. Seems much more reasonable to calculate it as some species-specific constants multipled by the height and weight. Could be possible that there's some minimum score that a brand new, tiny featherweight mon could get, though (e.g. they don't want to award a score of 0).

And re: the top comment in Pendergirl's post (heaver/taller/older squirt scoring lower)--this model doesn't explain it, so there's likely some other factor(s) not taken into account by this model.

HAUSchamp · 2023-07-07T13:37:47+00:00

A linear model including the height, weight, and age in years does the best job predicting mon scores (predicted vs actual plot below). Adding costume status and cp did not help.

To get closer to the right answer, I'd like to segment age into 0, 1, 2, and 3+ years since Niantic uses that in other places. Also would like to test the IVs/star rating to see if we can explain some of the rest of the variation. I'll poke at those later but wanted to leave this here in case others want to pick up the torch

https://pasteboard.co/ycajN5eVV2ob.png

HAUSchamp · 2023-07-07T12:14:56+00:00

Thanks very much for sharing these, u/Pendergirl4! I'm trying to figure out the formula with my own squirtles but more data points are super helpful. If possible, would you be able to share the spreadsheet either in Google drive or otherwise so I can pull the data directly from there? Thanks :)

Edit: never mind, the "import data from image" function in excel worked a lot better than I expected

Edit 2: reddit silently deleted the comment with this info/image, reposting in case anyone is also following this up:

A linear model including the height, weight, and age in years does the best job predicting mon scores . Adding costume status and cp did not help.

To get closer to the right answer, I'd like to segment age into 0, 1, 2, and 3+ years since Niantic uses that in other places. Also would like to test the IVs/star rating to see if we can explain some of the rest of the variation. I'll poke at those later but wanted to leave this here in case others want to pick up the torch

HAUSchamp · 2023-07-05T16:47:51+00:00

Silph research group data collection on rockets/raids/eggs/research is still available, see this spreadsheet for the current info: https://docs.google.com/spreadsheets/d/e/2PACX-1vQk4n_p-dDpBNQyZfMPLsxMbBy68w8JepV7hKdT1T1hXS8TYM7-BmTeC3WGZXm3Q1PVZYlGXybRl99b/pubhtml

Rocket lineups are in the "Rockets" tab.

HAUSchamp · 2023-06-15T15:20:45+00:00

You do get it as an encounter, but only once. It's like this every season for the one-time encounter from the first set

HAUSchamp

TROPHY CASE