3 ms·
Careful to not get sucked into a binary trap. Most (but not all) problems exist on a gradient you can often be "right enough", "fast enough", and as uncomfortab
by sqeaky 2y ago
Careful to not get sucked into a binary trap. Most (but not all) problems exist on a gradient you can often be "right enough", "fast enough", and as uncomfortable as it seems we can be "correct enough" or even "coherent enough" to succeed.