The Gradient Descent, which is a machine learning technique used in a neural network, provides us with this insight:
If we take absorb too much feedback for our actions towards our goal, we will move extremely slow and can fall back or settle for some mediocre solution.
If we ignore all feedback and just act, we may probably never reach our goal.
"It ain't what you know that gets you into trouble. It's what you know for sure that just ain't so." - Mark Twain Most people think about learning as adding knowledge and skills. When you learn French, you learn that the word, avoir means "to have."
Straightforward refutation of the old idea. This complete refutation is atypical. More likely the new knowledge doesn’t contradict the old one, but it may modify it in some way.
The new knowledge revises a simpler picture by filling it with more complex details. This is similar to adding new knowledge, although because the older, simpler view of the issue has been overwritten with more detail, there is some unlearning going on.
You know feedback is good for you, right? After all, "Feedback is the breakfast of champions" has been a staple of self-development wisdom since Ken Blanchard first said it. So, okay, here comes your boss, or a colleague, or a friend, with a wide load of feedback just for you.
Last year, your company rolled out a new product. It hasn't gained any traction. And yet, you're still putting time, money, and sweat into the failing proposition. "We can't quit now. We've already invested so much." Welcome to the fascinating and frustrating world of cognitive bias...
Is our tendency to overestimate the odds of our own success compared to other people's.
Overly optimistic predictions can be dangerous, leading us to waste time and resources pursuing unrealistic goals. In the real world of business, things don't always work out for the best, and it serves us well to know when conditions are not on our side.