Hello everyone,

This is an issue I've had awareness of going way back but it's the first time I've had to personally deal with it.�� I've done some research and found it addressed in a number of ways but given current time pressures and a huge list of to-dos, I thought I'd turn to the community for rapid advice to get me over the hump.�� The circumstances are summarized below in code and comments suitable for a playground.

"This is the actual arithmetic I want to do...
��0.09560268 - 0.005 = 0.09060268"

"Evaluate this in a playground and you'll see this is what
��floating point arithmetic produces --the first two are wrong, every one after is correct"
0.09560268 - 0.005 "=> 0.09060267999999999".
0.0956026 - 0.005 ��"=> 0.09060259999999999".
0.095602 - 0.005 �� "=> 0.090602".
0.09560 - 0.005 �� ��"=> 0.0906".
0.0956 - 0.005 �� �� "=> 0.0906".
0.095 - 0.005 �� �� ��"=> 0.09".

"This workaround works"
0.09560268 - 0.005 roundTo: 0.00000001 "=> 0.09060268".
"but one has to compute number of digits of precision

and according to study above, it's not necessary at
precisions >= 0.000001"

"What are other suggestions, workarounds or approaches community has?"
"THANKS!"