Staniford has a new Hubbert Linearization post up at
TOD. I still don't feel that approach merits any worth, but many people feel differently; from a commenter at the site:
It doesn't seem to be out of the realm for this to be taught in college/grad school to a fairly broad audience. Why has this been held back so long?
I can answer that. Because this particular approach resorts to a grab-bag of heuristics and empirical relationships and does not rise far above mere fortuity. Staniford says hisself that
" (I confess that I still don't fully understand why this model works as well as it seems to in practice)"
Placing myself in such a situation, I wouldn't feel comfortable teaching anything I don't deeply understand to a bunch of hungry graduate students. On the other hand, I would feel perfectly fine teaching the
oil shock model, because of its reliance on some physical reality and the properties of stochastic processes.