Show HN: Identify car crash editorial anti-patterns using NLP
This is neat, but something bugs me about the framing of the intended goal versus how you propose to get there.<p>If the intent is to raise public awareness and to put pressure on leadership to make roads generally safer, why do almost all the corrections follow a pattern of shifting blame from the individual pedestrian onto the individual driver? Many of the suggested fixes are just their own form of counterfactual - they're facts, sure, but they don't contribute to public understanding of _why_ the crash happened.<p>The examples of removing counterfactual outright and including thematic framing (focusing on road conditions, frequency of crashes, and aggregate statistics that tell the story of how often crashes occur) seem to be the best set of suggestions for correcting public perception on road safety. Not making sure the public knows this _one specific driver_ hit a pedestrian, rather than their car.