I derived the following list of LessWrong topics and presented in on our LW meetup.

In order of decreasing typicality (most typical for LW first):

• methods for being less wrong, knowing about biases, fallacies and heuristics

• methods of self-improvement (if scientifically backed), e.g. living luminiously, winning at life, longevity

• organization and discussion of meetups

• dealing with procrastination and akrasia

• statistics, probability theory, decision theory and related mathematical fields

• topics of associated or related organizations CFAR, MIRI, GiveWell, CEA

• advancing specific virtues: altruism, mindfulness, empathy, truthfulness, openness

• artificial intelligence topics esp. if related to AGI, (U)FAI, AI going FOOM (or not)

• the singularity and transhumanism (includes cryonics as method to get there) - this had the largest variance

• rationality applied to social situations in relationships, parenting and small groups - this also had a large variance

• (moral) philosophical theories, ethics

• platform to hangout with like-minded smart people

I'd be a lot more inclined to respond to this if I didn't need to calculate probability values (ie. could input weights instead, which were then normalized.)

To that end, here is a simple Python script which normalizes a list of weights (given as commandline arguments) into a list of probabilities:

#!/usr/bin/python
import sys
weights = [float(v) for v in sys.argv[1:]]
total_w = sum(weights)
probs = [v / total_w for v in weights]
print ('Probabilities : %s' % (", ".join([str(v) for v in probs])))

Produces output like this:

Probabilities : 0.1, 0.2, 0.3, 0.4

In what way does being typical imply a probability?