Comparing Two Very Different Career Paths
Most people approaching this comparison don't realize how fundamentally different the income structures are. One is built on tournament winnings with massive variance. The other is built on equity value and a public company exit. Trying to lump them into a single narrative without understanding both sides usually leads to wrong conclusions. I spent a lot of time looking at how to structure these kinds of comparisons back when I was helping a few investors evaluate athlete and entrepreneur portfolios. The problem isn't the math. It's that almost nobody adjusts for time horizon, risk profile, and liquidity timing when they're putting numbers side by side.
Hannah Stocking Vs Bobby Murphy Career Earnings
Let me lay out what we actually know. Bobby Murphy co-founded Snapchat in 2011 alongside Evan Spiegel. Snap went public in March 2017 at $9 per share. Murphy retained a significant stake, and depending on exactly when he sold or whether he held through subsequent dips, his peak paper wealth hit somewhere in the low billions. He has sold shares periodically over the years, and Snap's stock has been volatile. As of my last update, his net worth from Snap equity sits somewhere in the range of roughly $1.5 to $2 billion, though exact figures fluctuate daily with the market. Hannah Stocking is one of the more successful female poker players in the game. Her career earnings as tracked by The Hendon Mob sit in the ballpark of around $900,000 to $1,000,000 in live tournament winnings. She won a World Poker Tour event in 2011 and has multiple cashes across major circuits. That is genuinely strong money in poker. But it is a completely different scale from a tech founding exit. The raw gap is enormous. Murphy earned nearly a billion times more than Stocking over comparable career spans. That sounds like the whole point of the comparison, but it also misses the point entirely.
How I Approach These Comparison Calculations
When I do this kind of earnings analysis, I start with the data sources and immediately flag their limitations. For Bobby Murphy, the numbers come from publicly reported equity holdings, SEC filings, and Forbes-style estimates. These are inherently imprecise. Ownership percentages shift through vesting schedules, tax events, and secondary sales that aren't always transparent. A founding CEO's actual realized income is often quite different from what headline net worth figures suggest. For Hannah Stocking, the primary source is The Hendon Mob tournament database, which tracks live results. This is relatively accurate for what it captures, but it only covers live tournament payouts. It doesn't include online poker earnings, cash game income, sponsored deals, coaching revenue, or broadcast appearance fees. Stocking has played online extensively, and her online earnings are not meaningfully tracked in the same way. So the published figure for her is likely an underestimate, though not by a factor large enough to close the gap with Murphy. I remember working on a project where we were comparing career earnings across several poker professionals and one crypto founder. The poker player in question had over $4 million in live earnings but probably another $2 to $3 million in online play that simply wasn't visible in any single source. The trick was triangulating from multiple databases, checking streaming revenue from Twitch, and looking at any disclosed sponsorship deals. You can't fully reconstruct these numbers, but you can get closer if you know where the gaps usually are.
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The Structural Difference Both Sides Miss
Here is the thing that most people writing about this comparison don't address properly. Poker earnings and tech equity earnings operate on opposite risk curves. Stocking took a significant variance risk every time she bought into a tournament. A single series can make your year or break it. Her annual income as a poker professional might swing between positive and negative by large margins. Murphy took a different kind of risk. He gave up salary for three plus years building a product with no guarantee of return, but once Snap went public, the equity upside was asymmetric in a way that tournament poker simply cannot replicate. Another thing that gets glossed over is time. Murphy and Spiegel were building for roughly six years before any liquidity event. Stocking has been competing professionally for closer to fifteen years, spreading her earnings across a much longer timeline. If you annualize Murphy's earnings from the point of his liquidity event onward, they look staggering. If you annualize Stocking's across her full career, the per-year figure drops considerably. Neither framing is wrong. Both are incomplete on their own.
Why the Comparison Isn't as Simple as It Sounds
I've seen articles that treat these numbers as if they exist on the same plane. They don't. One is a stream of relatively small, taxable cash events with high variance. The other is concentrated illiquid equity that became liquid at a specific moment, subject to lock-up periods, blackout windows, and tax consequences that dramatically affect actual take-home value. If I were trying to give someone a practical framework for understanding this comparison without getting lost in the noise, I'd suggest starting with realized income rather than headline net worth or gross tournament earnings. For Murphy, that means looking at documented stock sales and the associated tax events. For Stocking, it means adding estimated online earnings and sponsor income on top of the Hendon Mob live results. Neither path gives you a perfect number, but they give you something more honest than a single headline figure. The bottom line is that Murphy's career earnings from Snap are orders of magnitude larger than Stocking's career earnings from poker. That is a straightforward fact. But the more useful question is what those numbers actually represent in terms of risk, time, liquidity, and personal choice. Most people asking about this comparison aren't really interested in that deeper layer. They just want to see who made more money. The answer is obvious. The nuance is where the actual insight lives.
