Der „So What“-Test: Forschung einfach erklären

1. The one-sentence version of what this field has proven: We have shown that [X] works reliably under [condition], and that [Y] consistently leads to [Z] in real-world settings. 2. The one honest admission of what it still doesn't know: We still cannot predict exactly when [X] will fail in edge cases, because our models don't capture all the messy variability of [context]. 3. The single real-world implication that matters most: If you rely on [X] for [critical task], you should build in a manual fallback - because the evidence says it will save you from the one failure we can't foresee.