RUNAY
Scenarios

The same model, four people, four different questions.

The full report runs the same Monte Carlo engine for everyone. What changes by life stage is the question worth asking. Here is the question each of four imagined people brings to it, and the part of the report that answers it.

Before you read the numbers

Two definitions to fix before anything else.

Two terms on this page mean something precise: probability of success is the share of simulated paths where the portfolio is not depleted before the planning age, and every spending figure is shown after tax under one flat assumption.

"Probability of success" has a specific meaning here. It is the share of simulated market paths in which the portfolio is not depleted before the planning horizon — the age the plan is modeled through. A result "at 85% confidence" through age 95 means the portfolio lasted to age 95 in roughly 85 of 100 simulated sequences. It is a frequency estimate under the model's assumptions, not a prediction and not a guarantee. Because the model draws from a fat-tailed return distribution, the same inputs can shift the headline by a few points run to run, so it is best read as a band rather than an exact figure.

Spending is shown after tax, under one flat assumption. The model converts an after-tax monthly spend into a pre-tax portfolio draw using a single 15% blended effective rate, then reports results back in after-tax terms. Real tax outcomes depend on account types, brackets, capital-gains treatment, state tax, and the taxation of Social Security — none of which this flat rate captures. Treat the tax layer as a simplification, not a tax plan.

The four people below are invented for illustration. Every figure on this page is a hypothetical projection, not a guarantee — and not based on real results. Your own analysis will differ.
01 · Early Career

Maya is 29 and just starting to save.

Illustrative persona · age 29 · saving early, decades to the horizon
Her question is "does anything I do now even matter?" At her age the headline number isn't the useful part of the report — what helps is seeing which inputs move it, and by how much.
The numbers fed to the model
Age
29
Retire at
64
Plan through
92
Saved so far
$40,000
Saving
$1,000/mo
Target spend
$4,500/mo after-tax
Social Security
$2,400/mo, claim at 70

At 29, retirement is an abstraction. The balance is small, the contributions feel modest, and any single year barely moves the picture. Run a full-plan simulation — one that carries the accumulation years and their sequence risk, not just the drawdown — and the headline probability often reads lower than people expect. That number, on its own, is discouraging and not very useful.

What the report does instead is show which inputs move the projected odds the most. At Maya's age the largest mover is almost always time. Because capital added early has decades of compounding ahead of it, the model can show how much more a dollar saved now is worth than the same dollar saved later. For someone her age, that comparison is the part of the report worth reading.

The distance between that marker and the target isn't a verdict. It's a measure of how much room there is to move, and how many years she has to move it.

02 · Mid-Career Accumulator

David is 44 and wants to know if he's on track.

Illustrative persona · age 44 · balance building, target in view
The report estimates the nest egg his goal needs, compares it to where his current path is heading, and ranks the moves that close the gap by how much each one helps.
The numbers fed to the model
Age
44
Retire at
64
Plan through
93
Saved so far
$420,000
Saving
$2,500/mo
Target spend
$7,000/mo after-tax
Social Security
$2,800/mo, claim at 67

By his mid-forties, David has a real balance and a real target. His question is whether his saving is enough, and where his next dollar of effort does the most good. The report answers the first part by estimating the nest egg his goal requires at retirement and comparing it to where his current path is heading — the gap, stated plainly.

The second part is what most calculators skip. The report ranks the moves available to him — working longer, spending less, saving more, adding money today, or changing when Social Security starts — by how much each one changes the projected odds. It does not tell him which to choose; it shows the size of each, so the decision is informed rather than guessed.

Sample · what moves the projected odds — from a 74% base, largest first
If David…Modeled successChangeTrade-off
Works two more years89%+15 pts+2 years working
Trims spend $400/mo80%+6 ptslower monthly lifestyle
Saves $500/mo more79%+5 ptsmore set aside now
Claims SS at 70, not 6776%+2 ptslater, larger benefit
Illustrative — not your results. Each change is modeled one at a time, at 85% confidence; deltas are hypothetical.

Seen this way, "am I on track?" is no longer a yes-or-no question. It's a short list of moves, each with a known cost and a known effect.

03 · Near-Retirement Decider

Joan is 61 and deciding whether she can stop.

Illustrative persona · age 61 · on the cusp, weighing the Social Security decision
The report gives the age at which work becomes optional at her spending level, and shows how claiming Social Security at 62, 67, or 70 shifts that age.
The numbers fed to the model
Age
61
Retire at
64
Plan through
95
Saved so far
$1,450,000
Saving
$3,750/mo
Target spend
$6,000/mo after-tax
Social Security
$2,900/mo, claim at 67

Joan's questions are the most concrete of the four. The report gives her the age at which the model estimates work becomes optional at her spending level — the earliest age her savings are enough to clear the confidence threshold. For someone a year or two from the decision, that single number is the one that matters.

Then there is Social Security. Claiming at 62 pays about 70% of the full benefit; at full retirement age, 100%; at 70, about 124%. The report holds her plan fixed and shows how her three answers shift across all three claim ages, so the timing decision is visible rather than buried. It does not name a "best" age — claiming depends on longevity, a spouse's and survivor's benefits, whether she keeps working, and how benefits are taxed, all of which sit outside the model. It shows the shape of the trade so she can take it to someone who can weigh the rest.

The report also pays attention to the order returns arrive. Two plans with similar long-run returns can end up far apart depending on whether the bad years come early or late: a poor stretch in the first years of retirement does damage that a good long-run average never fully undoes. For someone about to stop earning, that early-window risk is worth seeing before the decision, not after.

04 · A Couple, Different Ages

Ren and Sam are six years apart.

Illustrative persona · ages 58 & 64 · two claim ages, two horizons, one portfolio
Their question is how two timelines interact. The report models both claim ages and earning timelines against one portfolio, then stress-tests the plan across nine different futures.
The numbers fed to the model
Ages
Ren 58 & Sam 64
Retire at
62
Plan through
100
Saved so far
$1,400,000
Saving
$4,000/mo
Target spend
$8,500/mo after-tax
Social Security
Ren $2,300 at 67 · Sam $2,600 at 70

A couple with an age gap can't answer the questions separately. Two claim ages, two earning timelines, and a portfolio that has to carry both — the interactions are exactly where a single-number calculator falls short. The report models the working partner's contributions continuing after the first one retires, holds each Social Security election where they set it, and shows how the combined plan holds up. This is where the model's two hardest tests earn their place.

First, spending doesn't stay flat. Most people spend more in early retirement and less later as activity winds down — the go-go, slow-go, no-go pattern. Flat spending is a cautious assumption early and a generous one late. The report runs both so the couple can see the difference, while being clear that a declining curve is a population average, not a personal forecast — health and long-term-care costs, which the model does not include, can reverse it entirely.

Sample · two spending patterns, same starting amount
GO-GO SLOW-GO NO-GO
Flat spending (cautious early) Declining real spending
Illustrative — not your results. Shape only; no scale implied. Excludes long-term-care and health shocks.

Second, the report stress-tests the assumptions themselves. Instead of one return and one inflation rate, it runs a grid of nine combinations and shows where the plan lands in each — the corners that hold and the ones that don't. For a couple whose plan has to survive two long horizons, seeing the spread across futures is more honest than any single point estimate.

Sample · work-optional age across nine futures (return × inflation)
Inflation 2%Inflation 3%Inflation 4%
Return 9%age 60age 61age 62
Return 7%age 62age 64age 67
Return 5%age 67age 74age 81
Illustrative — not your results. Center cell is the base scenario; the grid spans these nine cases only — outcomes can fall outside it. Hypothetical, at 85% confidence.

The grid doesn't predict which future arrives. It shows which combinations the plan can absorb and which push the work-optional age out — so the couple can see how much their answer depends on conditions neither of them controls.

Under all of it

Every number traces back to a row.

Behind the headline answers, the report carries the full detail: a year-by-year ledger of the accumulation phase, then the drawdown in today's dollars and again in nominal terms — balances at the 25th, 50th, and 75th percentiles, spending, income, and draw for each year to the horizon. Nothing in the summary is a number you can't trace back to a row.

The free analysis already answers the first questions — probability of success, sustainable spend at three confidence levels, the age work becomes optional, and the levers that move the odds most. The paid report is the rest of what you've seen here: the Social Security timing comparison, the declining-spend analysis, the failing-paths detail, the nine-future stress grids, and the full year-by-year tables, delivered as a PDF.

Start with the free analysis — enter your own numbers and see your headline result and levers. The full report builds on that same run.

The model is the same for everyone. The report is what turns its output into something you can read against your own situation.