Thursday, June 11, 2026 · 9:41 AM
ok so Range says experts can be wrong?
that feels like internet cope lol
yeah, if the takeaway is “ignore experts,” throw it in the trash
Epstein’s sharper point is about where expertise travels badly
give me the non-trash version
in kind worlds, experts get clean reps: chess, golf swings, routine surgery steps
rules hold still. feedback comes fast. mistakes leave fingerprints
in wicked worlds, the expert may get confidence without clean correction
politics, markets, hiring, strategy, long-term forecasts. fuzzy scoreboard stuff
so expertise needs a good gym
exactly. a batting cage makes feedback obvious
a foggy airport terminal does not. everyone looks busy and half the signs changed
where does Chapter 10 go with that?
it leans on Philip Tetlock’s forecasting work
he compared experts making political and economic predictions over time
the scary bit: many confident specialists were bad at seeing when their pet model stopped fitting
wait, bad compared to random people?
not “random people are geniuses”
more like: narrow experts often overread the pattern they knew best
Tetlock used the old fox/hedgehog split: hedgehogs know one big thing, foxes know many small things
😮and foxes did better?
in that forecasting world, yes. foxier thinkers tended to update more, compare more models, and hedge better
hedge as in be cowardly?
nah, hedge as in “my confidence is 62%, not 100% because I watched 3 documentaries”
good forecasters treat beliefs like weather reports, not tattoos
i hate that because tattoos are easier
same
but the Range lesson is that breadth gives you more ways to notice, “huh, this case smells different”
what’s the blind spot for specialists specifically?
pattern-lock
you spend years learning one diagnostic shape, then start seeing it everywhere
like owning only a Phillips screwdriver and suddenly deciding the whole apartment is screws
lmao yeah ok
the twist is that expertise can make the story feel smoother
and smooth stories are dangerous because they feel true before the evidence catches up
i thought more expertise meant less bias
sometimes it does
but in messy domains, expertise can add better vocabulary to the same bad bet
that’s the counterintuitive part: credentials can raise confidence faster than accuracy
damn
and Commoncog’s critique is useful here
forecasting skill is real, but don’t stretch it into “generalists win at everything”
a fox mindset helps analysis. it doesn’t magically run your company or fix your knee
so the play is not “trust the broad person instead”
right. ask what kind of problem you’re in
if feedback is fast and rules are stable, trained specialists deserve weight
if the rules are shifting, add fox habits: outside views, base rates, rival explanations, small updates
what would that look like at work?
before a big call, write 3 live hypotheses
ask “what evidence would make me downgrade my favorite one?”
then put a number on confidence, even a rough one. 55 beats “obviously”
annoying but fair
also invite one person with different training to poke the assumption
not to win the room, just to catch the familiar-tool trap early
tiny fox committee
tragic name, good habit
ok I’m gonna go be uncertain about lunch
respect. update me if tacos cross 70%
Read Thu, Jun 11 · 9:58 AM