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I think your Option/String example is a real-world tradeoff, but it’s not a slam-dunk “untagged > tagged.”

For API evolution, T | null can be a pragmatic “relax/strengthen contract” knob with less mechanical churn than Option<T> (because many call sites don’t care and just pass values through). That said, it also makes it easier to accidentally reintroduce nullability and harder to enforce handling consistently, the failure mode is “it compiles, but someone forgot the check.”

In practice, once the union has more than “nullable vs present”, people converge to discriminated unions ({ kind: "ok", ... } | { kind: "err", ... }) because the explicit tag buys exhaustiveness and avoids ambiguous narrowing. So I’d frame untagged unions as great for very narrow cases (nullability / simple widening), and tagged/discriminated unions as the reliability default for domain states.

For reliability, I’d rather pay the mechanical churn of Option<T> during API evolution than pay the ongoing risk tax of “nullable everywhere.

My post argues for paying costs that are one-time and compiler-enforced (refactors) vs costs that are ongoing and human-enforced (remembering null checks).



I believe there is a misunderstanding. The compiler can check untagged unions just as much as it can check tagged unions. I don't think there is any problem with "ambiguous narrowing", or "reliability". There is also no risk of "nullable everywhere": If the type of x is Foo|Null, the compiler forces you to write a null check before you can access x.bar(). If the type of x is Foo, x is not nullable. So you don't have to remember null checks (or checks for other types): the compiler will remember them. There is no difference to tagged unions in this regard.


I think we mostly agree for the nullable case in a sound-enough type system: if Foo | null is tracked precisely and the compiler forces a check before x.bar, then yes, you’re not “remembering” checks manually, the compiler is.

Two places where I still see tagged/discriminated unions win in practice:

1. Scaling beyond nullability. Once the union has multiple variants with overlapping structure, “untagged” narrowing becomes either ambiguous or ends up reintroducing an implicit tag anyway (some sentinel field / predicate ladder). An explicit tag gives stable, intention-revealing narrowing + exhaustiveness.

2. Boundary reality. In languages like TypeScript (even with strictNullChecks), unions are routinely weakened by any, assertions, JSON boundaries, or library types. Tagged unions make the “which case is this?” explicit at the value level, so the invariant survives serialization/deserialization and cross-module boundaries more reliably.

So I’d summarize it as: T | null is a great ergonomic tool for one axis (presence/absence) when the type system is enforced end-to-end. For domain states, I still prefer explicit tags because they keep exhaustiveness and intent robust as the system grows.

If you’re thinking Scala 3 / a sound type system end-to-end, your point is stronger; my caution is mostly from TS-in-the-wild + messy boundaries.


I think the real promise of "set-theoretic type systems" comes when don't just have (untagged) unions, but also intersections (Foo & Bar) and complements/negations (!Foo). Currently there is no such language with negations, but once you have them, the type system is "functionally complete", and you can represent arbitrary Boolean combination of types. E.g. "Foo | (Bar & !Baz)". Which sounds pretty powerful, although the practical use is not yet quite clear.




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