Invest, Save, Earn, Experience. Numbers first, opinions after.
I spent a week pulling hundreds of millionaire profiles into a spreadsheet.
I wanted one answer: where should my next dollar of effort go?
I expected the answer to be earning. It mostly was.
Then I found the handover point: about one million.
I worried I was giving investing too much weight. Investing can feel productive without demanding much from me. That makes it easy to use as an excuse.
So I checked the arithmetic.
Some profiles include net worth, income, and savings rate. That lets me compare annual saving with expected annual returns.
At 7 percent real, 86 percent had portfolios producing more each year than they saved. At 5 percent, 77 percent did.
The median case looked like this:
| Annual amount | |
|---|---|
| Saved from income | 68,000 |
| Return at 7 percent real | 182,000 |
The portfolio was producing 2.7 times the annual saving.
The handover is where annual returns equal annual saving.
Using the median annual saving of 68,000:
At the corpus medians, saving about $68k a year. Both lines are straight, so the crossing point is exact.
The number stared back.
It is simple division, but it changes the milestone. Below the line, I am the main engine. Above it, the market is.
The exact point moves with annual saving. Someone saving more reaches it later. Someone saving less reaches it earlier. One million is the median case, not a law.
Three quarters say earning made them rich. Yet 86 percent now have portfolios adding more each year than they save.
Those figures answer different questions.
People credit what they did. Earning means job changes, negotiations, and years of work. Compounding happens quietly in the background.
Timing matters too. They are describing how they got there. Before the handover, earning was the main lever. The 86 percent figure describes where they are now.
| Phase | Main annual force |
|---|---|
| Before the handover | Earnings and saving |
| After the handover | Investment returns |
Before the handover, earning matters most. I wanted the data to tell me otherwise. It did not.
After it, my job changes. I need to avoid damaging the pile through bad allocation, taxes, sequence risk, or needless activity.
The return figures assume 5 and 7 percent real. A lower return pushes the handover later.
Everyone in this dataset succeeded. There is no control group and no record of the same choices failing. Survivorship is baked in.
The figures and stated strengths are self-reported.
I want the age at the second million. That would let me test the handover directly instead of inferring it from arithmetic. The questionnaire does not ask, though some people mention it in prose.
If the second million arrives much faster than the first, that would support the calculation. I will report back either way.