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    <title>Killion Labs Blog</title>
    <link>https://killionlabs.com/updates/blog/</link>
    <description>Retirement and portfolio research from Killion Labs: safe withdrawal rates, sequence risk, Monte Carlo, fees, and strategy.</description>
    <language>en-us</language>
    <lastBuildDate>Tue, 11 Aug 2026 04:45:39 GMT</lastBuildDate>
    <item>
      <title>Is the 4% Rule Still Safe? We Ran 5,000 Simulated Retirements</title>
      <link>https://killionlabs.com/updates/blog/is-the-4-percent-rule-still-safe/</link>
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      <pubDate>Wed, 24 Jun 2026 12:00:00 GMT</pubDate>
      <description>Is the 4% rule still safe? Flexible 4% lasted in 100% of 5,000 simulations; rigid 4% failed 1.1%. Full safe withdrawal rate trade-off table.</description>
      <author>hello@killionlabs.com (Berkay Kolay)</author>
      <category>safe-withdrawal-rate</category>
      <category>4-percent-rule</category>
      <category>retirement-withdrawals</category>
      <category>guardrails</category>
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    <item>
      <title>What a 1% Investment Fee Really Costs Over 40 Years</title>
      <link>https://killionlabs.com/updates/blog/what-a-1-percent-fee-costs-over-40-years/</link>
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      <pubDate>Wed, 24 Jun 2026 12:00:00 GMT</pubDate>
      <description>What a 1% fee costs over 40 years: we simulated 5,000 lifetimes at 0%, 0.5%, and 1% expense-ratio drag. The dollar gap is larger than the percentage sounds.</description>
      <author>hello@killionlabs.com (Berkay Kolay)</author>
      <category>fee-drag</category>
      <category>expense-ratio</category>
      <category>investment-fees</category>
      <category>investing-costs</category>
    </item>
    <item>
      <title>Sequence of Returns Risk: What If the Market Crashes the Year You Retire?</title>
      <link>https://killionlabs.com/updates/blog/market-crash-year-you-retire/</link>
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      <pubDate>Wed, 24 Jun 2026 12:00:00 GMT</pubDate>
      <description>Sequence of returns risk explained: the same 40% crash dropped success from 86% to 71% at retirement age 65, but only to 81% at age 48. 5,000 simulations.</description>
      <author>hello@killionlabs.com (Berkay Kolay)</author>
      <category>sequence-of-returns-risk</category>
      <category>retirement-risk</category>
      <category>market-crash</category>
      <category>decumulation</category>
    </item>
    <item>
      <title>Which Investing Strategy Wins? Six Strategies Benchmarked on the Same Markets</title>
      <link>https://killionlabs.com/updates/blog/which-investing-strategy-wins/</link>
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      <pubDate>Tue, 23 Jun 2026 12:00:00 GMT</pubDate>
      <description>Which investing strategy wins? We benchmarked buy &amp; hold, rebalance, glide path, guardrails, optimizer, and panic selling across 5,000 identical market lifetimes.</description>
      <author>hello@killionlabs.com (Berkay Kolay)</author>
      <category>investing-strategy</category>
      <category>portfolio-benchmark</category>
      <category>guardrails</category>
      <category>rebalancing</category>
    </item>
    <item>
      <title>Monte Carlo Simulation in Personal Finance: Why Projections Fall Short</title>
      <link>https://killionlabs.com/updates/blog/monte-carlo-simulation-personal-finance/</link>
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      <pubDate>Mon, 22 Jun 2026 12:00:00 GMT</pubDate>
      <description>Monte Carlo simulation in personal finance: a $4.3M projection landed at the 71st percentile; the median was $2.9M across 5,000 regime-aware lifetimes.</description>
      <author>hello@killionlabs.com (Berkay Kolay)</author>
      <category>monte-carlo</category>
      <category>financial-projections</category>
      <category>retirement-planning</category>
      <category>probability</category>
    </item>
    <item>
      <title>Timing the Market vs Staying Invested: 40 Years of S&amp;P 500 Evidence</title>
      <link>https://killionlabs.com/updates/blog/staying-invested-vs-timing-the-market/</link>
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      <pubDate>Mon, 22 Jun 2026 12:00:00 GMT</pubDate>
      <description>Timing the market vs staying invested: miss the 10 best months since 1985 and ~$744K becomes ~$264K. Forty years of S&amp;P 500 data on why time in the market wins.</description>
      <author>hello@killionlabs.com (Berkay Kolay)</author>
      <category>market-timing</category>
      <category>stay-invested</category>
      <category>behavior-gap</category>
      <category>s-and-p-500</category>
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