Data flows left to right. Each stage reads input, does its work, writes output. There's no pipe reader to acquire, no controller lock to manage. If a downstream stage is slow, upstream stages naturally slow down as well. Backpressure is implicit in the model, not a separate mechanism to learn (or ignore).
The problem compounds in pipelines. Each TransformStream adds another layer of promise machinery between source and sink. The spec doesn't define synchronous fast paths, so even when data is available immediately, the promise machinery still runs.
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