In the 19th century, mathematician Carl Gustav Jacob Jacobi famously said:

Man muss immer umkehren.

which translates to “You must always invert.”


In linear algebra, proofs often require working with the inverse of a matrix to arrive at the solution. However, determining the inverse itself usually starts with the end goal in mind: verifying properties like A1A=IA^{-1}A = I or solving AX=BAX = B, the steps to constructing or applying the inverse become more focused and straightforward.


  • Complex problems are sometimes better solved backwards
  • Invert the problem
  • Prevention over pursuit
  • Focusing on what to avoid rather than what to achieve
  • Reverse Engineering

By identifying what we want to avoid, we often gain clearer insight into what we should actually do. The negative space defines the positive space.

  • Investing:
    • “How do I pick winning stocks?” ➞ “How do I avoid losing money?”
    • “How much money can I make” ➞ “How can I lose not as much money?”
  • Product Design: Instead of “What features should I add?”, ask “What would make users hate this product?”
  • Health & Fitness: Instead of “How do I get in shape?”, ask “What habits would guarantee I stay unhealthy?”
  • Decision-Making: Before committing to a major choice, run a premortem: imagine it is a year later and the decision has failed catastrophically — what went wrong?

Instead of asking… Ask…
How do I achieve X? What would guarantee failure?
How do I win? How do I ensure I don’t lose?
How do I get rich? What would guarantee I go broke?
How do I be productive? What would make me completely unproductive?
How do I build a great relationship? What would ruin a relationship?
How do I find happiness? What would make me miserable?
How do I stay healthy? What would destroy my health?

No unforced errors

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