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Comment by Joel_Mckay | original | What thousands of conversations look like inside a language model
[−]Joel_Mckay · 2026-11-15 Sun 16:58 UTC · link
In general, ranking relevant keywords in the context of the Negative reviews will likely have more hits the longer people complain.

The random fluctuations of individual experience only cancel out bias if and only if the results are truly unbiased normal distributions.

In the case of positive:negative ratio feedback scoring, it only makes sense if you ignore the entire message body of what people enjoyed.

Negative-weighted ratio ranking more accurately describes the end users experience. Any game with paying unique customer greifer total scores under 15% without game-play reliability related complaint keywords is going to be a fairly good game if the genre matches your profile preferences.

Otherwise, people will just see shit scores from the response bias of pissed off users on dodgy OS/Networks. Would recommend checking your conclusions with the average current active players in the SteamDB plugin. If users aren't engaged with the paid gameplay experience 6 months after launch, than the release likely isn't fun or broken garbage. =3

A good game, but takes some skill to play (4270 daily players 10 years later):

https://store.steampowered.com/app/219990/Grim_Dawn/

A similar genre game, but people score it higher (3650 daily players 1 year later):

https://store.steampowered.com/app/1145350/Hades_II/

A top ranked genre game, with a nostalgic series scoring bias (9651 daily players released this year):

https://store.steampowered.com/app/2536520/Diablo_II_Resurre...