Russell Sherwood Saturday, September 4, 2021
Double-Dip. This is not just a well known dinner time crime, but is also a useful engine analysis method.
Here we have let the engine run for a time, we move back a move and then back to the position we were analysing. This has two benefits....
if you are using an online resource with a fixed analysis time it will cause the engine to go a little deeper and for those using a local engine it will (if the engine has a learning function) review the analysis used before. It still surprises me how often the engine will choose a different line is positions with multiple candidate moves with similar evaluations.
So here it is ok to Double-Dip!
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