Scout Mindset: Curiosity, Thoroughness, Open

Scout mindset focuses on discovering what's actually true and reporting the terrain as it is; defense mindset focuses on winning arguments and protecting a position.
Scouting emphasizes accurate, non-defensive descriptions; defense uses language of battle and aiming to 'win.'

Curiosity: aim to uncover the truth; welcome contradicting evidence.
Thoroughness: search for a wide range of possibilities and assess evidence for each.
Open: update beliefs in light of new evidence.

Motivated reasoning: reasoning oriented toward desired outcomes; evidence selected to support one's side.
It can feel like us-vs-them when issues touch identity; the goal is to recognize and counteract this tendency.
Changes of mind should be viewed as positive signs of moving toward truth.

Emotional profile: pleasure or intrigue when encountering new information or when beliefs are challenged.
Echo chambers reduce exposure to opposing views; dissent is a key driver of update.
Language matters: defense uses militaristic terms; discovery uses exploratory, curious language.

Binary belief: true/false.
Degrees of belief: probabilities between 0 and 1; subjective probability: $ext{Pr}(H) \in [0,1]$ .
Calibration idea: well-calibrated forecasts align long-run frequencies with stated probabilities: for forecast p, the observed frequency of H should satisfy $\Pr(H|\text{Forecast}=p) \approx p$ .
The map metaphor is limited; need a convention to express confidence degrees.

Evidence definition: a fact F is evidence for H if \Pr(H|F) > \Pr(H); evidence against if the inequality reverses: \Pr(H|F) < \Pr(H).
Evidence strength can range from weak to conclusive; rarely does a single fact prove a claim.
Restricted search (a failure): fixates on a preferred explanation and ignores alternatives; remedy is to generate multiple plausible explanations and test them.
Two guiding questions for search:
- What would things look like if a view other than mine were true?
- Which observations do not fit well with my view?
After identifying views, evaluate evidence for/against and update confidence accordingly.

Distinguish binary beliefs from graded confidence; use degrees of belief to reflect uncertainty.
Be mindful of motivated reasoning; practice openness across domains (news, politics, science).
Calibration helps judgment: regularly check whether confidence matches observed outcomes.
Aim to both build skills (logic, statistics) and cultivate a yearning to know the truth and a willingness to revise beliefs.