OpenPods VS lila

Try OpenPod it ain't on playstore but it's open source and on F-Droid so you know it respects your privacy Get it on F-Droid https://f-droid.org/en/packages/com.dosse.airpods Or GitHub https://github.com/adolfintel/OpenPods

OpenPods (version 1.8): The Free and Open Source app for monitoring your AirPods on Android

haven't tried this as i don't own airpods, but it's free and open source and looks to do what you want it to https://github.com/adolfintel/OpenPods

For instance, I looked up airpods on GitHub and found OpenPods, which is apparently an open source project for that particular brand of earphones.

Github Releases

So, after seeing that the logcat was being spammed by messages a la D/BtGatt.ScanManager: awakened up at time 472024 I came across this OpenPods issue.

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Lichess - Online Chess Server. Scala, TypeScript

> the player who committed more blunders lost 86% of the time

In some sense this is almost tautological. While finding an exact definition for a chess blunder isn't straightforward, here is one example from the Lichess UI:

https://github.com/lichess-org/lila/blob/b527746b179cdde6438...

Basically, if you make a move which decreases your winning probability more than 14% over the best move, that's a blunder. But winning probability is a nonlinear function of stockfish centipawns. A drop in 100 centipawns when you're up 15 points isn't a blunder. When the game was equal, it is.

Point is, by the time you know it's a blunder you already know something about the outcome of that move, that it swung the winning probability by more than 14%. So the analysis is kind of just measuring some function of winning probability and saying that it is highly correlated with winning probability.

If you want to improve make it your goal to play the best chess you can, not increase an arbitrary number. Watch YouTube series like John Bartholomew's "Climb the Rating Ladder" for some general insight into what you might be doing wrong. Read Irving Chernev's "Logical Chess: Move By Move" to see the thinking process of high level players. Do lots of puzzles (I like lichess.org for puzzles). And always analyze your games. When you analyze make it your goal to find at least two things you could have improved.

The easiest way to play against Stockfish is perhaps on https://lichess.org/, but it's not the only chess engine that evaluates positions with a neural network.

Lichess.com

if you actually like chess, try lichess.org, the free and open-source, no ads ever, premium alternative