You see slivers in 2D spatial operations as well. Imagine that you have two parcels represented as polygons that don’t perfectly spatially intersect. If you perform a boolean operation to, say, compute the union of these two polygons into a single one, any microscopic difference between the two boundaries below a certain tolerance (like 0.001 square meters) will manifest itself as tiny gaps and slivers. Most GIS engines will merge the two polygons appropriately beyond that tolerance (this is a way simpler problem in 2D space!) but if the data is bad enough you’ll definitely see it.