The problem gets worse in pipelines. When you chain multiple transforms — say, parse, transform, then serialize — each TransformStream has its own internal readable and writable buffers. If implementers follow the spec strictly, data cascades through these buffers in a push-oriented fashion: the source pushes to transform A, which pushes to transform B, which pushes to transform C, each accumulating data in intermediate buffers before the final consumer has even started pulling. With three transforms, you can have six internal buffers filling up simultaneously.
To catch any elements that somehow slipped through all of the above, I added capturing-phase event listeners as a belt-and-braces fallback:
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Жители Санкт-Петербурга устроили «крысогон»17:52
Since then, she's racked up over one billion streams and scored a major worldwide hit with 2023's Boy's a Liar, Pt. 2. Last year's punchy, sample-heavy mixtape Fancy That became her first top 10 album and was nominated for the Mercury Prize.