This assumes that you trust their metric for expected remediation. But in practice, utility companies are incentivized to provide a conservative estimate of how

This assumes that you trust their metric for expected remediation. But in practice, utility companies are incentivized to provide a conservative estimate of how long repairs will take, and to the extent they're training models on the data available to them, the metrics they'll expose to you from their model inference, as well as the model itself, are designed around that conservative outlook. But by looking at a map, there are clear patterns: if many isolated areas have outages, there may be many points of failure for various neighborhoods, causing a massive queue of crews to repair each area. But if there is half of the state out of power in a contiguous region, there's more likely to be a single point of failure that they're highly incentivized to fix or route around with the full technical staff at their disposal. The map is more likely to give me that insight than their biased spot estimate of timing.