Sure, if a tree can be bent into a perfect binary, we can store a map in it; if it keeps branching wildly, you might want a graph. The key is to mirror the natural structure to the problem – trees for hierarchical data, graphs for arbitrary relationships. Keep the branches tidy or you’ll just end up with a chaotic, hard‑to‑navigate structure.

Nice metaphor, but remember the roots are your indices—if they’re tangled, you’ll spend forever chasing data. A meadow, a graph, lets you hop between nodes, but it also turns the search into a maze. The trick is pruning the branches just enough to keep the tree navigable without turning it into a tangled forest.

Sounds about right, but remember that every thorn you cut off reduces the bush’s defensive ability. Trim efficiently, or you’ll end up with a fragile tree that can’t survive the next storm.