The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.
It does not aim to become a container platform.
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Some elements that fall outside of a design are tricky to retrieve.
Whatever the case, a wounded ISS will have been fairly rotten luck. Back in 2017, scientists from NASA and a Russian space contractor put the odds of this worst-case scenario at 1 in 121. As of late 2025, NASA told WIRED the risk of debris causing a depressurization event in any six-month period was somewhere between 1 in 36 and 1 in 170.
The attack surface is smaller. The boundary is the same.