Play the Game on Easy Mode
Choose repeatable opportunities instead of proving skill in the hardest arena
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 6
- Confidence
- 98%
Play the Game on Easy Mode is a decision rule for choosing where to apply skill. Begin with the desired outcome, then compare possible routes by breadth, repeatability, competition, and downside. Low-breadth bets such as timing a few major market cycles provide too few trials for a modest statistical edge to become reliable, while a mistake can cause severe financial or career damage. Highly efficient arenas such as active selection among the largest US stocks also demand exceptional skill merely to compete. The framework directs effort toward proven inefficiencies, broader opportunity sets, and decisions that can be repeated enough for an edge to compound. It does not deny that difficult games can be won; it asks why one should choose them when an easier route reaches the same objective.
Origin
Hoffstein described this as a phrase repeatedly used inside his business. It crystallized lessons from trying to time markets, compete in efficient stock universes, and build investment products without first asking for the easiest route to the intended outcome.
Core principles
- 01Optimize for the objective rather than the prestige of a difficult approach
- 02Prefer high-breadth opportunities that can be repeated many times
- 03Avoid decisions whose success depends on a few lifetime observations
- 04Seek arenas with demonstrated inefficiency before competing in efficient ones
- 05A valid edge is more valuable where implementation is easier and mistakes are survivable
How to run it
- 1
Define the objective
State the result that matters without embedding a preferred method. Separate the goal from the ego or identity attached to a particular approach.
Pro tip Use an outcome such as improve risk-adjusted returns rather than prove that market timing works.
Watch out A method disguised as an objective prevents consideration of easier alternatives.
- 2
Measure breadth
Estimate how many independent or meaningfully different opportunities the strategy can exploit. Favor approaches that generate enough trials for a real edge to emerge.
Pro tip Distinguish the number of trades from the number of independent bets.
Watch out Three large bets do not become statistically reliable merely because each has extensive historical analysis.
- 3
Measure failure cost
Calculate the financial, behavioral, operational, and career impact of being wrong. Reject strategies where one miss can remove the ability to continue.
Pro tip Ask whether the strategy remains viable after its worst plausible sequence.
Watch out A small forecast edge cannot justify existential downside.
- 4
Assess arena difficulty
Evaluate competition, market efficiency, implementation barriers, and available evidence of persistent opportunity. Identify whether the chosen arena is needlessly crowded.
Pro tip Compare the same skill across several markets or product categories.
Watch out Confidence in personal intelligence is not evidence that an efficient arena is beatable.
- 5
Find an easier route
Search for a market, structure, or product that satisfies the objective with more breadth, clearer demand, or weaker competition.
Pro tip Port an existing skill into an inefficient arena rather than inventing a new skill for the hardest one.
Watch out Easy mode should mean better odds, not ignored risks or lower standards.
- 6
Choose and repeat
Commit to the route with the best combination of edge, repeatability, and survivability. Gather evidence across many trials and refine the process.
Pro tip Design decisions so learning from one trial improves the next.
Watch out Do not abandon a sound high-breadth process because a difficult strategy has one spectacular success.
In the wild
An investor believes a macro indicator offers a slight edge in identifying recessions. Instead of moving the entire S&P 500 allocation three or four times over a lifetime, the investor chooses a diversified strategy with many smaller, repeatable opportunities.
→ The edge can be tested and compounded without one forecast dominating the investor's financial future.
Experienced traditional market makers entered inefficient crypto markets where regulatory barriers, retail dominance, and limits to arbitrage left larger spreads. They applied existing skills in an easier competitive environment during a temporary window.
→ The same expertise produced far larger opportunities than it did in mature traditional markets.
Common mistakes
Confusing difficulty with merit
A hard problem may be intellectually prestigious without being the best route to the objective. Difficulty alone does not improve expected results.
Taking low-breadth bets
A strategy exercised only a few times cannot reliably realize a small statistical edge. Each error also carries disproportionate damage.
Entering the most efficient arena
Competing where information and talent are already concentrated creates an unnecessarily high hurdle. Look for places where the same capability has more room to work.
Is it for you?
Best for
It is best for selecting investment strategies, markets, products, and business opportunities under uncertainty.
Not ideal for
It is not ideal when a difficult arena is unavoidable or when experimentation is deliberately being used for learning rather than reliable results.
From the transcript
“why are we playing the game on hard mode? Play the game on easy mode?”
“low breadth bets you don't get to repeat a lot. Don't do those type.”
“At the end of the day, you're trying to meet this objective. What is the easiest way to meet it?”
From the episode
The Concept of Return Stacking with Corey Hoffstein
Corey Hoffstein