10 Matching Annotations
  1. Jan 2018
  2. Jan 2016
    1. P(B|E) = P(B) X P(E|B) / P(E), with P standing for probability, B for belief and E for evidence. P(B) is the probability that B is true, and P(E) is the probability that E is true. P(B|E) means the probability of B if E is true, and P(E|B) is the probability of E if B is true.
    2. The probability that a belief is true given new evidence equals the probability that the belief is true regardless of that evidence times the probability that the evidence is true given that the belief is true divided by the probability that the evidence is true regardless of whether the belief is true. Got that?
    3. Initial belief plus new evidence = new and improved belief.
    1. Here’s what the Finns, who don’t begin formal reading instruction until around age 7, have to say about preparing preschoolers to read: “The basis for the beginnings of literacy is that children have heard and listened … They have spoken and been spoken to, people have discussed [things] with them … They have asked questions and received answers.”