Here are chapters 41–45 of our Easy Game summary:
Chapter 41: Advanced Showdown Theory
In chapter 41, Andrew Seidman argues that many players overvalue weak made hands simply because they are “a pair.” Showdown value is relative: if an opponent’s likely range beats you, your pair has no meaningful value.
He reframes the decision-making question from “Do I have a pair?” to “Is my hand likely to be best?” If your hand virtually never wins at showdown, checking back “to get to showdown” is just hopeful passivity.
Turning made hands into bluffs
Seidman describes spots where you improve to a weak pair but still expect to lose almost always. In those cases, the hand should be treated as a bluff candidate—especially if the board and line allow you to credibly represent strength. The correct play becomes using fold equity, not conceding.
River decisions: bluff, fold, not call
When facing a river bet with a hand that’s essentially never good, Seidman says the real options collapse to two:
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Bluff (if fold equity exists), or
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Fold.
Calling is often the worst choice because it assumes some meaningful chance you’re ahead—when your own read says that chance is near zero.
Core lesson: a weak made hand with negligible win probability is rarely a “check-and-hope” hand. It’s either a bluff candidate or a fold.
Chapter 42: The Squeeze
In chapter 42, Andrew Seidman explains the squeeze play: a re-raise after a raise and one or more calls. It targets the dead money created by the open and the caller, but it’s not automatically profitable—its EV depends heavily on player types, positions, and realistic frequency assumptions.
When passive players are involved
Against passive/weak players, light squeezes usually fail because they call too much and go to showdown. In those games, squeezing should be value-heavy, not bluff-heavy.
The three roles in squeeze spots
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Original raiser: defense depends on position and how wide squeezes really are. In position, you can defend wider; OOP, tighten.
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Initial caller: speculative calls lose value if you must fold to squeezes; trap hands gain value if squeezers are frequent.
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Squeezer: assume calls happen more than theory suggests; choose hands that perform well in 3-bet pots (often higher-card value rather than pure speculation), and be wary when a weak player is involved.
Postflop after calling a squeeze (in position)
If the squeezer c-bets too much, fight back more; if they give up easily, take the cheap preflop defend but respect later aggression.
Core lesson: don’t assume people squeeze light. Adjust only when evidence supports it, and anchor decisions to player type + position + realistic ranges.
Chapter 43: The Squeeze Formula
In chapter 43, Andrew Seidman gives a simplified framework: in squeeze spots, player order often determines profitability more than anything else.
Fish first, regular after → avoid light squeezes
Fish raises → regular calls → you squeeze is typically bad for light squeezes because:
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fish calls a lot,
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regular gets good odds and position,
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fold equity collapses and multiway pots happen.
Squeeze mainly for value here, and be cautious: a regular flatting behind a fish often has a plan and may be strong postflop.
Regular first, fish after → ideal squeeze spot
Regular opens → fish calls → you squeeze is often great, even with weak holdings, because:
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regular’s range is wider and more foldable,
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regular lacks position and doesn’t close action,
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fish calls weakly and often plays fit-or-fold postflop.
If the regular adapts with light 4-bets, adjust (reduce frequency or shove over, depending on stacks) rather than abandoning the spot.
Core rule:
Regular → Fish: squeeze aggressively.
Fish → Regular: avoid light squeezes; value-focused.
Chapter 44: Ego and the Tilt Cycle
In chapter 44, Andrew Seidman shifts to psychology, arguing that ego is a major driver of tilt and long-term underperformance. Disrespecting competent regulars (“they’re bad”) leads to poor game selection, inflated confidence, and unnecessary variance.
Edge and variance
As your edge shrinks, variance rises and results take longer to show. Marginal games against regs create bigger swings and more frustration, which often triggers a tilt cycle:
small edges → more variance → frustration → worse decisions → lower win-rate → more variance → more tilt.
Winner vs. learner
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The Winner focuses on short-term results, plays many tables, gets emotional, and stagnates.
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The Learner focuses on decision quality, studies, plays fewer tables, handles variance better, and advances.
Seidman’s broader point: ego is often “hidden tilt”—it shapes decisions before the hand even starts (overestimating edge, playing under-rolled, battling to prove superiority).
Core lesson: humility and smart game selection protect both bankroll and mindset; prioritize learning over proving.
Chapter 45: The Theory of Donking
In chapter 45, Andrew Seidman analyzes donk betting (leading OOP into the preflop raiser). In heads-up pots, donking is often unnecessary because the raiser will usually c-bet, allowing profitable check-call or check-raise strategies. Donking becomes relevant mainly when that c-bet expectation breaks down.
Why donking is often flawed
Most donk ranges end up air-heavy and hard to balance. Players also tend to check-raise their strongest hands, making donk ranges even weaker and exploitable.
Versus non-thinking players
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Small donk bets: raise almost always—cheap, wide ranges, lots of dead money.
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Pot-sized donks: proceed cautiously—fold pure air, raise the first reasonable-equity hand, and adjust based on whether they fold, continue, or re-raise.
Versus thinking players
Even good players struggle to balance donk ranges; light raising can still be profitable. But watch for the spazz factor—some opponents donk strong to induce light raises. The adjustment becomes: raise lighter on the flop, but don’t over-bluff later; value bet thinly when appropriate.
When to donk yourself
Donk when the preflop raiser is no longer c-betting reliably—often due to board texture favoring the caller or history (they’re checking back to avoid your check-raises). In those cases, leading captures value and fold equity that checking would forfeit.
Core lessons: punish small donks, treat big donks with information-gathering discipline, and donk yourself only as a targeted adjustment when c-bets are no longer reliable.