Closure has definite problems that other Lisps don’t due to a combination of leaky JVM abstractions (incomprehensible stack traces, JAVA pollution), its semantics not really being Lisp semantics and its premature optimization into one paradigm that doesn’t really fit the language or most problems very well.
Whereas in a dynamic language (even an immutable one), your data could be mutated during program runtime and no longer conform to the type you expected. Yes you could re-validate it everywhere, but that requires you to exercise every code path when testing at runtime to find bugs.
I think the general argument that "You can't static type everything (like your API dependencies), so there's no point in doing it all" isn't a very solid one.
Though I will have to defend Clojure from your last paragraph. I don't think there has been a lisp that has done so much for lisps than Clojure. For example, until I used Clojure, other lisps were just like any other dynamically-typed, mutation-heavy language. The idea of just shuttling around data and transformations on that data is something that fundamentally changed my approach to writing software.
I can certainly come up with worse things to say about Clojure. I kinda grew out of dynamic-typing, for one. And this is never more obvious than if you've ever read a large or complex Clojure codebase while dying to just know what the underlying Java types are. And you're so desperate that you get excited when you see a single ^ChannelHandler type-hint.
If your Clojure code expects an API response's json.{id,username} to exist, and to not exist is a hard violation of your assumptions and thus your code, then how is that any different from formalizing it into:
?(Damn, rest of the comment is pretty long but let me try to both sympathize and present a solution that I do like).
What I will say is that most statically-typed languages I've used do get annoying when there's no 1:1 mapping between your struct and the JSON body. I've dealt with some hairy JSON, like APIs that accidentally re-encode nested JSON strings so they become like triple escaped. Or values that can have like 5 different shapes so you really just want to try 5 different decoders until one is successful. (These cases are trivial in my upcoming code example)
For example, Rust's serde and Swift's Codeable are both pretty annoying if you want to apply arbitrary transformations between JSON response -> your canonical representation. Serde, for example, has you implementing the whole trait + visitor if you need to do anything the cute decorator DSL doesn't support. Or you implement a bunch of envelope structs even though you just want to pull out the value at "obj.a.b.c". Or, what happens when you can't simply use a codec from https://app.quicktype.io/?
JSON decoder combinators (e.g. in Elm) make JSON pleasant again while retaining static typing. https://package.elm-lang.org/packages/elm/json/latest/Json-D...
For example,
That almost compiles despite shooting from the hip directly into this textarea, but the point is that it's a pleasant way to decode JSON while allowing arbitrary transformation, and I think it's the ultimate middleground between static-typing and the sort of on-the-fly decision making you get with dynamic typing.