Coaching practices for Success Story Selection
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Success Story Selection, 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”
- My whole feed and reading list is wall-to-wall success stories
- I’m about to launch into something and I keep estimating how it’ll go off the handful of vivid winners in my head
- I keep studying how the winners won, but it’s a thin lesson
- I notice almost all my stories end the same way
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 - Audit whether your information sources systematically favor survivors
Check whether the media, advice, and communities you consume are filtered toward successes.
Survivorship Bias: Learning from What You Can’t See - 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 - 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 - Spot redemption and contamination sequences
Find the patterns in how your stories of setback and success tend to end.
Narrative Identity, Made Practical - Actively seek disconfirming cases
When researching base rates, specifically look for cases where things went badly — failure cases are underrepresented in natural memory.
The Outside View - Identifying the turning points that shaped you
Single out the three to five moments where your trajectory genuinely changed — and examine what you made of them.
The Life Line Exercise - State your estimate before encountering vivid case information
Lock in a prior probability estimate before reading a compelling story or meeting a specific candidate.
Attribute Substitution: When Your Brain Answers a Different Question - Design your situation for positive emotion, not just negative avoidance
Situation selection is not only about avoiding what is harmful — it includes actively scheduling what is emotionally nourishing.
Situation Selection, Made Practical - Distinguish genuine growth from positive illusions
Learn to tell the difference between real benefits that changed how you live and comfortable stories that protect you from fully processing the loss.
Benefit-Finding in Adversity, Made Practical
Related concerns
- 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.
- 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.
- Media Survivorship Bias
Check whether the media, advice, and communities you consume are filtered toward successes.
Audit whether your information sources systematically favor survivors
- 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.
Describe your situation in your own words to search the complete practice library.