When she hit a dense model for projecting retirement income, she used a real example: her uncle’s situation. She estimated his Social Security, pensions, and a conservative withdrawal from his savings. Turning abstract variables into a person’s life made the math click. She built the projection in a spreadsheet with clear labels, a sensitivity table that showed outcomes if market returns varied by ±2%, and a short narrative explaining the assumptions.
