Learn to Earn was useful to me because it puts the machinery of capitalism back on the table without acting mystical about it. Stocks are ownership. Businesses sell things. Customers vote with money. Capital goes somewhere. Obvious ideas, yes. Also the kind of obvious ideas people skip before doing something impressively stupid.
I liked Lynch in this mode because he gives vocabulary without making the reader feel like an intruder. A lot of investing language seems designed to make normal observation feel illegal unless it arrives through a terminal window. Lynch pushes the door open and says: look first, then do the work.
Later, when I started writing Python screens, this basic literacy became more useful than it sounds. If a script gives you sector, market cap, earnings, price-to-book, free cash flow, and a ranked table, you still need to know what kind of creature you are looking at. A retailer, a bank, a software company, and a cyclical manufacturer do not breathe the same way.
The book helped me keep the tone grounded. I can enjoy formulas, notebooks, and abstractions a lot. Possibly too much. But the point is still to understand a business well enough that the numbers have a body attached to them.
It is an orientation book, and I mean that as praise. Before trying to be clever, it is good to know where the furniture is.