The 4% Rule Anxiety: Modeling Withdrawal Strategies When You're 20 Years From Traditional Retirement

General
1

I’m supposed to be excited about FIRE, but instead I’m terrified. Let me explain the math that’s keeping me up at night.

The 40-Year Problem

The famous 4% rule comes from the Trinity Study, which tested withdrawal rates over 30-year retirement periods. That’s fine if you retire at 65 and plan until 95. But I’m targeting retirement at 45. That’s a 50-year horizon. Maybe 60 years if longevity runs in my family (it does).

When you extend the simulation from 30 years to 50 years, the success rate of the 4% rule drops dramatically. As Vanguard research notes, many in the FIRE community who are retiring in their early 50s feel more comfortable with a 3% or 3.5% withdrawal rate because “with 50 years of retirement, you have a 90% chance of success with a 4% withdrawal rate at most.”

That’s not good enough when the failure scenario is “ran out of money at age 75.”

What Changed in 2026

The experts can’t agree. Morningstar’s 2026 guidance says 3.9% for a balanced portfolio. William Bengen, who created the 4% rule, now says 4.7% is the new starting point. But walk into any FIRE community and people are targeting 3-3.5% for the longer horizon.

The math gets worse when you factor in:

Sequence of returns risk: If I retire into a bear market, early losses combined with withdrawals can cripple the portfolio’s ability to recover. According to Schwab’s research, adverse returns in the first several years of distribution are the most detrimental, “explaining about 77% of the final retirement outcome.”

Healthcare before Medicare: I’m looking at 20 years of ACA marketplace premiums, high deductibles, and the constant fear of policy changes before I hit Medicare eligibility at 65.

The psychological weight: After 20 years of obsessively accumulating capital, can I actually spend it down? Every withdrawal feels like moving backwards.

The Beancount Modeling Question

Here’s what I’m trying to figure out: How do you model multiple withdrawal scenarios in Beancount?

Right now I track everything meticulously:

  • Investment accounts (401k, Roth IRA, taxable brokerage)
  • Net worth calculations
  • Expense categorization to project retirement needs

But I’m not modeling forward. I need to:

  1. Scenario testing: Run projections at 4%, 3.5%, and 3% withdrawal rates over 50 years
  2. Variable strategies: Model Guyton-Klinger guardrails where I adjust spending based on portfolio performance
  3. Tax optimization: Track Roth conversion ladder timing (5-year rule for each conversion)
  4. Sequence risk: Model different market return sequences to see best/worst cases

I’m thinking about creating a separate projection.beancount file with hypothetical future transactions, but I’m not sure how to structure it or generate scenarios efficiently.

The Real Question

It’s not really “when can I retire?” anymore. It’s “how do I retire without constantly checking my portfolio in a panic?”

If you’re modeling early retirement withdrawals in Beancount:

  • What withdrawal rate are you actually planning for?
  • How are you handling scenario analysis?
  • How do you model tax-efficient withdrawal sequencing (traditional IRA → Roth conversion → taxable → Roth withdrawals)?
  • What does your Beancount file structure look like for 40+ year projections?

The spreadsheets say I’m 3 years away. But the spreadsheets also assumed 4%. Maybe I’m 5 years away at 3.5%. Maybe 7 years at 3%. That’s a huge difference in life planning.

How are you thinking about this?

Research sources:

2

Fred, this is the conversation that’s missing from most FIRE calculators: taxes. You’re modeling pre-tax returns, but tax drag is going to reduce your actual spending power significantly. Let me share the tax planning piece that needs to go into your Beancount model.

The Roth Conversion Ladder Strategy

This is absolutely critical for FIRE folks like you. Here’s the play:

During your early retirement years (before you hit 59½), you’ll have low or zero earned income. This is the golden window to convert your traditional IRA/401k funds to Roth IRA at the 10-12% federal tax bracket instead of the 22-24%+ you’re probably paying now.

The mechanics from The College Investor’s guide:

  • Each year, convert a set amount from traditional IRA to Roth IRA
  • Pay income tax on that conversion at your current bracket
  • After 5 years, those converted funds can be withdrawn penalty-free
  • Each conversion starts its own 5-year clock

For 2026 tax brackets (which remained permanent under TCJA), a married couple filing jointly can convert roughly $30,000 per year and stay in the 12% bracket after standard deduction. That’s only $3,000-3,600 in federal taxes to unlock penalty-free access.

The 5-Year Planning Requirement

This is where Beancount modeling becomes essential. You need to start Roth conversions 5 years before you plan to retire. If you’re 3 years away, you’re already behind on this strategy.

Year 1 (2026): Convert $30k, pay ~$3,600 tax → Available penalty-free in 2031
Year 2 (2027): Convert $30k, pay ~$3,600 tax → Available penalty-free in 2032
Year 3 (2028): Convert $30k, pay ~$3,600 tax → Available penalty-free in 2033

By year 5, you have a perpetual ladder: each year’s conversion unlocks while you’re converting the next tranche.

Beancount Structure for Tax-Efficient Withdrawals

Here’s how I track this for clients:

When you do a conversion:

The ACA Subsidy Cliff Warning

Critical trap: If you’re planning on ACA marketplace insurance (which you should be for those 20 years before Medicare), converting too much can push you above the subsidy cliff. As QuantFlowLab notes, “a $66,500 conversion could push you above the subsidy cliff, and the lost premium tax credits can wipe out the tax savings from converting.”

You need to model: conversion amount vs. ACA income limits vs. tax bracket optimization. This gets complicated fast.

Questions for Your Model

  1. What’s your current traditional IRA/401k balance vs. Roth vs. taxable split?
  2. Have you calculated your projected annual expenses in retirement (to know how much to convert annually)?
  3. Are you planning on ACA marketplace insurance, and if so, what’s the subsidy cliff in your state?

The difference between a good and bad tax strategy could be $50,000-100,000 over your retirement. This isn’t optional—it’s the difference between 3 years and 5 years to FIRE.

Let me know your account balances and I can help sketch out a conversion strategy to model in Beancount.

3

Fred, I need to add the professional accounting reality check here, because there’s a dangerous gap between “portfolio value on paper” and “can you actually make payroll”—except in retirement, payroll is your living expenses.

The Cash Flow vs. Portfolio Value Illusion

You’re tracking net worth. That’s good. But here’s the trap: your portfolio can be growing on paper while you’re running out of actual cash to spend.

This happens when:

  • Your portfolio is 80% stocks that are up 15%, but you need cash this month
  • You have to sell winners in a tax year when you didn’t plan extra capital gains
  • Healthcare expenses spike and you need $15k now, not “after rebalancing”
  • Market drops 25% and you’re forced to sell at the bottom to cover expenses

According to Morningstar’s research on sequence risk, losses in the first several years of retirement are the most damaging. You need a cash buffer strategy.

The 2-3 Year Cash Reserve Strategy

Keep a year’s worth of expenses in cash investments, and another 2-4 years in high-quality short-term bonds. This means:

When the market is up, you refill the cash/bond buckets by selling stocks. When the market is down, you live off the cash buckets and don’t touch the stocks. This is how you survive sequence-of-returns risk.

Healthcare: The Budget Killer You’re Underestimating

You mentioned “ACA marketplace premiums” but I don’t think you’ve really modeled this. Let me give you real numbers:

For a married couple (both 45, healthy, non-smokers) on a Silver plan in 2026:

  • Premium: $1,400-2,200/month without subsidies = $16,800-26,400/year
  • Deductible: $6,000-8,000 per person
  • Out-of-pocket max: $9,200 per person

That’s $35,000-50,000 per year in healthcare costs in a bad year. And you’re betting that nothing changes with ACA policy over the next 20 years?

If you qualify for subsidies (by keeping income under $75,000 for married filing jointly), premiums drop dramatically. But now you’re constrained: you can’t do large Roth conversions without losing subsidies. You can’t have a great investment year without losing subsidies.

This needs to be modeled in Beancount with realistic expense ranges:

The Accountability Question

Here’s what keeps me up at night as a CPA: Who’s checking your math?

When you’re working, mistakes have consequences but they’re usually survivable. You over-spend one month, you cut back the next. You miscalculate taxes, you pay penalties but earn it back.

In retirement, mistakes compound. Run out of money at 75? Your options are:

  • Go back to work (after 30 years out, at age 75, good luck)
  • Move in with family
  • Dramatically reduce quality of life
  • ???

This is why I push clients toward the conservative model (3%) and optimistic model (4%) approach. Build both scenarios:

  1. Conservative scenario: 3% withdrawal, high healthcare costs, bear market in years 1-5
  2. Optimistic scenario: 4% withdrawal, ACA subsidies work perfectly, bull market

If the conservative scenario still works, you can retire. If you need the optimistic scenario to work, you’re not ready.

Beancount Approach: Dual Reality Tracking

Here’s how I’d structure this:

Notice the retirement burn rate is $6,800/month vs current $4,200/month. That’s $81,600/year. At 3%, you need $2.72M. At 4%, you need $2.04M.

That’s a $680,000 difference in the FIRE number—or about 4-5 additional years of working and saving.

The Question You Need to Answer

Can you retire safely, or can you retire optimistically?

The spreadsheet that says “3 years away at 4%” is asking you to bet your entire future on:

  • No major healthcare policy changes
  • No extended bear markets
  • No unexpected life expenses
  • Perfect tax planning execution
  • Your own discipline to cut spending in down years

I’ve seen too many retirements that looked great on paper turn into stress nightmares because the model was too aggressive.

Model the conservative scenario first. If that works, you’re ready. If it doesn’t, you’re not.

What does your current monthly burn rate look like, and what’s your realistic projection for retirement?

4

Fred, I was exactly where you are 18 months ago. Spreadsheets said I was ready, but something felt off. I want to share what I learned by actually building the withdrawal models in Beancount, because it changed my entire plan.

What I Built: The Projection File Approach

I created a separate projection.beancount file that lives alongside my main ledger. This file contains hypothetical future transactions from my planned retirement date through age 95.

Here’s the structure:

; projection.beancount - 50-year retirement simulation
; Include main ledger for current balances
include "main.beancount"

; Starting conditions (from actual balances)
2028-01-01 * "Retirement starts - initial portfolio"
  Assets:Retirement:Portfolio  1850000 USD
  Equity:Opening:Retirement

; Annual withdrawal pattern
2028-01-31 * "Withdrawal - month 1"
  Assets:Retirement:Portfolio  -6500 USD
  Assets:Checking  6500 USD

2028-02-28 * "Withdrawal - month 2"
  Assets:Retirement:Portfolio  -6500 USD
  Assets:Checking  6500 USD

; ... repeat for 50 years

But manually typing 600 months of transactions is insane, so I wrote a Python script to generate scenarios.

Python Script: Scenario Generator

This script generates different market return scenarios and tests withdrawal sustainability:

# generate_scenarios.py
import random
from datetime import date, timedelta
from dateutil.relativedelta import relativedelta

def generate_withdrawal_scenario(
    start_date,
    end_date,
    initial_portfolio,
    annual_withdrawal,
    market_returns  # list of annual return percentages
):
    """Generate Beancount transactions for a withdrawal scenario"""
    
    current_date = start_date
    portfolio_value = initial_portfolio
    transactions = []
    
    month = 0
    while current_date <= end_date:
        # Monthly withdrawal
        monthly_withdrawal = annual_withdrawal / 12
        
        # Apply monthly market return
        year_index = month // 12
        if year_index < len(market_returns):
            monthly_return = market_returns[year_index] / 12
            portfolio_value *= (1 + monthly_return / 100)
        
        portfolio_value -= monthly_withdrawal
        
        # Check if portfolio depleted
        if portfolio_value <= 0:
            transactions.append(f"; PORTFOLIO DEPLETED at {current_date}")
            break
        
        # Generate transaction
        txn = f'''{current_date.strftime("%Y-%m-%d")} * "Withdrawal month {month+1}"
  Assets:Retirement:Portfolio  {-monthly_withdrawal:.2f} USD
  Assets:Checking  {monthly_withdrawal:.2f} USD
  ; Portfolio balance: {portfolio_value:,.2f} USD
'''
        transactions.append(txn)
        
        current_date += relativedelta(months=1)
        month += 1
    
    return "\n".join(transactions)

# Test scenarios
scenarios = {
    "optimistic": [7, 8, 6, 9, 7, 8, 7, 6, 8, 7] * 5,  # Bull market
    "conservative": [5, 4, 6, 5, 4, 5, 6, 5, 4, 5] * 5,  # Modest returns
    "sequence_risk": [-20, -15, 3, 5, 7, 8, 7, 6, 8, 7] + [7]*40,  # Bear start
}

start = date(2028, 1, 1)
end = date(2078, 1, 1)  # 50 years

for name, returns in scenarios.items():
    print(f"\n; ===== SCENARIO: {name.upper()} =====")
    scenario = generate_withdrawal_scenario(
        start, end,
        initial_portfolio=1850000,
        annual_withdrawal=78000,  # 4.2% of initial
        market_returns=returns
    )
    
    with open(f"projection_{name}.beancount", "w") as f:
        f.write(f"; Scenario: {name}\n")
        f.write(f"; Initial portfolio: \,850,000\n")
        f.write(f"; Annual withdrawal: \,000 (4.2%)\n\n")
        f.write(scenario)

What I Learned (The Scary Parts)

Running these scenarios was brutal. Here’s what happened:

4% withdrawal rate: In the sequence-of-returns scenario (retire into bear market), the portfolio was depleted by age 68. That’s 23 years into retirement, with 27+ years still to live.

3.5% withdrawal rate: Portfolio survived all scenarios, but came uncomfortably close to depletion ($200k remaining) in the bear market start scenario.

3% withdrawal rate: Portfolio survived comfortably, even grew in the optimistic scenario.

The psychological shift was huge: I couldn’t pull the trigger at 4%. The models showed it was too risky. Even 3.5% felt aggressive when I imagined actually living through a -20%, -15% market drop in years 1-2.

The Solution: 3% + Flexibility

I ended up targeting 3% base withdrawal with the ability to earn side income. This meant:

  • Working 2 more years to reach the 3% threshold (painful but necessary)
  • Keeping my skills sharp with occasional consulting (4-6 hours/week)
  • Building a 3-year cash buffer to weather market downturns
  • Accepting that “retirement” isn’t binary—it’s a spectrum

The Guyton-Klinger guardrails approach helped mentally: if the portfolio does really well, I can increase spending by 10%. If it drops below thresholds, I cut discretionary spending by 10%. This flexibility made 3.5% feel safer than fixed 4%.

Beancount Queries That Matter

Once you have projection files, you can query them:

; Show portfolio balance by year
SELECT 
  YEAR(date) as year,
  SUM(position) as balance
WHERE account ~ "Assets:Retirement:Portfolio"
GROUP BY year
ORDER BY year;

; Calculate years of runway at current burn rate
; (Run this monthly to track safety margin)

The projection file approach also forced me to model healthcare realistically. When I added $25k/year healthcare costs (Alice is right—it’s brutal), my 4% plan completely fell apart.

The Real Answer to Your Question

You asked: “How do I retire without constantly checking my portfolio in a panic?”

Honest answer: You can’t with 4%. The margin for error is too thin. Every market dip will feel like an existential threat.

With 3% and a 3-year cash buffer? I check my portfolio monthly, update my Beancount ledger, and sleep fine. The models said I could survive extended bear markets, and I believe them.

Don’t let perfect be the enemy of good, but also don’t let optimism blind you to risk. Build the models. Run the scenarios. See what it actually looks like when the market drops 40% in your first two years of retirement.

Then decide if you can handle that reality.

What’s your actual portfolio value and annual expenses? Happy to help you run some specific scenarios.