# Weights in the fit.variogram method of gstat

I'd like to know if I understood correctly the following. In the fit.variogram method of the gstat library, there is a fit.method argument. In the documentation, it says that:

The default method uses weights $N_h/h^2$ with $N_h$ the number of point pairs and $h$ the distance. This criterion is not supported by theory, but by practice. For other values of fit.method, see table 4.2 in the gstat manual.

Let's say we have a variogram that includes sets of points separated by some distances $h: 100, 300, 600$ and $900$ and each $N_{h}$ contains 100, 1000, 1200, 900 points, respectively. Does the weighting method described above mean that the weights are calculated as $100/100, 1000/300, 1200/600, 900/900$. That is, we are placing less weight on points that are separated by larger distances. Is this correct? I know it says that this method is not supported by theory, but it seems a bit counterintuitive.