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Reflection — An Honest Take 8 min

Honest Take — Before You Begin

Honest Take — Module 1: Power Literacy — The Mechanics of Power #

Pfeffer is going to feel slimy at first and I want to name that ahead of the first chapter so you don't put the book down. Power: Why Some People Have It and Others Don't opens with claims that read, to engineers raised on meritocracy mythology, as cynicism dressed up as research — that performance is weakly correlated with advancement, that visibility matters more than anyone wants to admit, that the political operators in your last several organizations were not less competent than you, just more deliberate. The first reaction will be "this is grim." The second reaction, three or four chapters in, will be "this is what's been happening." The grim feeling is the meritocracy frame letting go. Pfeffer is not telling you to become a sociopath; he is reporting the data on how power actually accumulates inside organizations, and the data is uncomfortable specifically because the engineer-default is to pretend it doesn't exist. Somewhere around chapter four you will quietly revise your assessment of a specific person you've worked with for years — someone whose accumulation of authority has surprised or irritated you. Pfeffer will give you a clean explanation for what they did, and the explanation will partly relieve the irritation (they were running a coherent strategy, not just lucky) and partly deepen it (the strategy involved moves you would have refused). The relief and the deepening arrive together. That mixed feeling is the module's actual deliverable. Don't try to resolve it.

Klaas is the book that will sit longer in your mind than Pfeffer, because Corruptible is observational where Pfeffer is prescriptive, and observational frames are easier to internalize. The chapter on selection effects will be the most uncomfortable: the people who pursue power positions are not, on average, more capable — they are more willing. Willing to be visible, to negotiate hard, to ask, to push, to absorb the social costs of advancement. Pfeffer's most dangerous moment, meanwhile, is Rule 6 in the 2022 book: use your power. You will read it and feel something like nausea. The nausea is appropriate, and also, for your archetype, slightly miscalibrated — Pfeffer writes Rule 6 as a corrective for a large audience full of avoidant types, and your version of the corrective is smaller: you need to use power more often than you currently do, but probably not as often as the prescription suggests. Hold that calibration question open; M2 is where it gets an honest answer.

The power-mapping diagnostic is where the module either delivers or doesn't. Apply it to one real organization — your current one, or the last one you knew well — and you will discover, uncomfortably, that you have been operating with roughly a 30%-accurate model of who actually had power around you. The formal org chart, the names in the directory, the titles in Slack — that's the documentation. The shadow org chart — who controls information flow, who controls resource allocation, who has the lunch-buddy relationships that route around the hierarchy — that's the actual control plane. You missed at least three of those nodes in every organization you've worked in. Not because you're stupid; because you weren't looking. Most engineers aren't. The contrarian frame that makes the looking stop feeling icky: power literacy is engineering literacy applied to multi-agent systems with private state. You have debugged distributed systems with byzantine actors. The math here is not harder; the squeamishness is. Drop the squeamishness for the duration of the module and read Pfeffer the way you'd read a well-researched paper on a system you don't yet understand.

A note on what is deliberately not in this module. Greene, Machiavelli, and Sun Tzu are quarantined in M10, and the wait is the safety mechanism — Greene's prose is most absorbable precisely when the reader lacks alternative frameworks, which is exactly your state right now. What this module does carry forward is the early warning: several of Greene's laws are sociopathic as prescriptions, and when you meet them in M10 you will meet them with eight modules of analytical machinery already installed. For now, if you find yourself itching to skip ahead to the dark canon because outrage is a more comfortable emotion than recognition — notice the itch. It's data about which discomfort you're avoiding.

Conclusion #

Read Pfeffer seriously, read Klaas alongside him as the ethical instrumentation, and do the power-mapping diagnostic on a real organization. The 30%-accurate model becomes a 70%-accurate model after one honest mapping pass; the residual 30% takes years of reps. M1 is the literacy floor — without it, M3 (reading the room) and M7 (difficult-people patterns) operate on guesswork, and M10's dark canon is unsafe to enter. Skip Klaas and you risk becoming the cautionary tale; skip Pfeffer and you continue to operate by folk theory. The pairing is the module.

Predictions #

  • Pfeffer will feel slimy for chapters 1-3, then click around chapter 4 when you start recognizing your own career in the data. The click is the frame loading.
  • Klaas will surface one specific moment of self-recognition that you'll keep returning to for months. I can't predict which; I predict only that there will be one.
  • You will resist Pfeffer's "build a powerful brand" rule most strongly, because it sounds adjacent to the LinkedIn-influencer aesthetic you find repugnant. His framing is meaningfully different from the LinkedIn version, but the resistance will arrive before the distinction lands.
  • The power-mapping exercise will surface at least one node — probably someone you'd dismissed as "not technical" — whose non-technical position was the source of their political leverage, not its limit.
  • You'll under-map the informal network on the first pass and over-map it on the second. The third pass is the calibrated one.
  • The shadow-org-chart concept will become a tool you use spontaneously within two weeks, on organizations you aren't even part of — open-source projects you watch, a partner's workplace, public institutions in the news.
  • For a week or two after the module you will over-correct, attributing political mechanics to phenomena with simpler explanations. The over-correction is normal and self-resolves. Do not make consequential political reads during that window.
  • Caro's Power Broker material will land harder than Pfeffer's data, because Robert Moses's concrete accumulation of power makes the abstract statistics feel like a real human pattern. The case study is what makes the data click.
  • You will quietly update your assessment of three to five people you've worked with for years — some downward, some upward. Both directions are evidence the module is working.
  • The Klaas checkpoint will leave you with a concrete worry about a direction your career could evolve if you over-apply Pfeffer. Write it down; M2 picks it up immediately and M11 returns to it.