Coaching practices for I've Decided the Lesson From This Success is Focus Narrow or Go Big and Before I Bet on it I Want to Honestly Try to Argue the Exact Opposite as Hard as I Can Because If I Can Find Real Winners Who Did the Reverse Then My Lesson Was Never the Real Reason Any of Them Won
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For I've Decided the Lesson From This Success is Focus Narrow or Go Big and Before I Bet on it I Want to Honestly Try to Argue the Exact Opposite as Hard as I Can Because If I Can Find Real Winners Who Did the Reverse Then My Lesson Was Never the Real Reason Any of Them Won, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- I’ve decided the lesson from this success is “focus narrow” or “go big”
- I read about someone who made it big doing this one thing and immediately think I should do the same
- I keep studying how the winners won, but it’s a thin lesson
- I’ve built such a vivid, convincing story about why this particular bet will pay off that I’ve completely stopped asking how often things like this actually work out
- I pour my energy into clever little optimizations and edge-case improvements while some giant, obvious way to blow the whole thing up sits there untouched
Practices that may help
- Steelman the strategy opposite to the successful one
Before adopting a lesson from a success story, build the best possible case for the opposite approach.
Survivorship Bias: Learning from What You Can’t See - Ask for the failure rate before celebrating the success rate
Before drawing lessons from any success story, ask: out of how many attempts did this succeed?
Survivorship Bias: Learning from What You Can’t See - Build a personal library of failure post-mortems
Deliberately collect, read, and learn from failure case studies in your domain.
Survivorship Bias: Learning from What You Can’t See - Check the outside view before trusting the inside view
Ask how similar situations have gone before trusting your story about this specific situation.
Thinking in Bets - Optimize for avoiding stupidity, not brilliance
Munger: "It is remarkable how much long-term advantage people like us have gotten by trying to be consistently not stupid."
Inversion: Solve Problems Backward - Choose the right reference class for any prediction
Find the statistical base rate for the category your decision belongs to — not just the inspiring examples.
Survivorship Bias: Learning from What You Can’t See - Choose one domain to move toward the bullseye this week
Pick the domain where a small move would matter most — not the most important one in the abstract.
Values Bullseye, Made Practical - Run a structured mastery debrief after each performance
Immediately after any significant attempt, extract what worked before the memory fades.
Mastery Experiences - Use inversion as the first model in every problem
Before solving a problem, ask what would guarantee failure — then avoid those things.
Mental Models: Charlie Munger’s Latticework Approach - Consider the opposite
Actively argue the case against your first conclusion before accepting it.
Thinking, Fast and Slow, Made Usable
Related concerns
- Extract Lessons From Success
Deliberately collect, read, and learn from failure case studies in your domain.
Build a personal library of failure post-mortems
- How Many Tried Survivorship
Look for the people who tried the same thing and didn’t make it through.
Actively seek out the failures you aren’t seeing
- How To Check Survivorship Bias
Survivorship bias is the error of drawing conclusions only from the cases that made it through a filter — winners, survivors, visible successes — while the failures that never appear are silently excluded. The clearest historical example is Abraham Wald’s WWII aircraft study: the military wanted to armor the bullet holes they saw on returning planes; Wald showed they should armor where they saw no damage, because planes hit there didn’t return.
- How To Learn From Success
Deliberately collect, read, and learn from failure case studies in your domain.
- Survivorship Bias Learning From What You Can T See At Work
Survivorship bias is the error of drawing conclusions only from the cases that made it through a filter — winners, survivors, visible successes — while the failures that never appear are silently excluded. The clearest historical example is Abraham Wald’s WWII aircraft study: the military wanted to armor the bullet holes they saw on returning planes; Wald showed they should armor where they saw no damage, because planes hit there didn’t return.
- Survivorship Bias Learning From What You Can T See During A Big Change
Survivorship bias is the error of drawing conclusions only from the cases that made it through a filter — winners, survivors, visible successes — while the failures that never appear are silently excluded. The clearest historical example is Abraham Wald’s WWII aircraft study: the military wanted to armor the bullet holes they saw on returning planes; Wald showed they should armor where they saw no damage, because planes hit there didn’t return.
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