[WR] Michal Rzewuski 2.99 skewb average

[Bindedsa]

Jonatan was in a different group, so he didn't have the same scrambles

aah, okay.

 

[Hssandwich]

Doing the same layer in 4 moves gives a 7 move LL (and can also cancel to 9 moves), which seems more likely to me

Assuming that he knows the alg. I did see the 4 move layer, but I discarded it as I didn't know the alg for it.

 

[Bindedsa]

Assuming that he knows the alg. I did see the 4 move layer, but I discarded it as I didn't know the alg for it.

He does.

 

[Sajwo]

 

[Berd]

Wow! Great solves! Gj!

 

[Myachii]

It's like the camera is underwater lol.
Great solves tho

 

[KevinG]

Are you using a gopro?
If yes you can just swap the waterproof with the non waterproof casing for a better sound quality

 

[TheCoolMinxer]

Awesome average! Congrats! :tu

 

[MAEXEcuber]

Ty you all I use a sport camera, Manta MM336 ( gopro kinda).

 

[willtri4]

About 90% or slightly more start with L R.

Why is that?

 

[joshsailscga]

Are you using a gopro?
If yes you can just swap the waterproof with the non waterproof casing for a better sound quality

I was going to say that Turned up volume for the first solve, then my headphones tried to blow out my eardrums for the second

 

[Kit Clement]

Why is that?

Not a TNoodle expert, but I believe it is due to the random state nature -- the search algorithm is finding that randomly generated state, and will by default always try L R as the start first. It just so happens that the algorithm will find a sequence within the scramble length tolerance (between max/min lengths) with that start a surprisingly high number of times.

The scrambler was made very quickly to release the event for 2014, and could probably use tweaks (like randomly choosing moves to start the search with), but it is indeed functional and generates a random state, despite the rather common L R start.