Bookshelf
physicscounterfactualsscience

The Science of Can and Can't

The Science of Can and Can't

Why read it — Marletto reframes physics around counterfactuals—not only what happens, but what could happen under repeatable rules (constructors, tasks, substrates). It is a deliberate move away from “laws as frozen sentences” toward a language of possibility and impossibility that plays nicely with information and computation. Dense in places, but the payoff is a cleaner account of why some transformations are stable while others are one-off miracles.

Cross-domain lens — Physics is the home turf, but the mental model exports: any engineered system is a claim about which counterfactuals are cheap (repeatable) versus expensive (fragile). The digital layer is implicit—algorithms are constructors on data substrates. The human layer is underexplored in the book; the ethical punch lands when you ask who gets to designate which futures count as “admissible” in a formal sense.

Stack Takeaway

  • “Can and can’t” is not pessimism; it is a theory of affordances at the level of physical law—useful whenever you confuse a demo with a scalable process.
  • Counterfactual discipline is how you separate storytelling about the future from operations that survive repetition and noise.