The thing is Jim Simons struggled for years and years and even had a huge team to help him before they finally had their breakthrough. And that's a brilliant mathematician who made major contributions in his field and were considered by his peers to be wasting his talent in pursuit of money.
Contrast that with the amateur retail trader or your average college professor which concludes the market is random after an afternoon of studies.
The market is random but not unpredictable, meaning there's a process which drives the random outcomes. When you backtest you're trying to identify that process. As long as the *process* is deterministic (and they usually are to a high degree), you can make money.
That's the whole idea behind options trading and Black-Scholes-like processes.
The problem with making money this way is that:
1) If you work with a known theory like Black Scholes and it's adaptations, so does everyone. You can verify in backtests that even plain Black-Scholes really works AS LONG AS YOU CAN ADD ENOUGH SPREAD. But because the theory is well known, the spreads on the market are so tight that most of the times you can't make a trade which would guarrantee a profit. Say my calculated price for an options would be $10 with a standard deviation of $1. If I could sell at $11 or buy at $9, and do this a lot of times, I would make money guarranteed. Problem's the spread is like $0.1 and my calculation is not so exact for such a low spread. It may be the realized price is actually $10.5, if I sold at $11 I'd still make a profit on average, but with a $0.1 spread I cannot.
2) When according to the known theory, there are rare times when the market seems to be mispricing the options (in my example above, I'd get a $10 average price with a standard dev of $1 and I could actually sell it at even $12), well the known theory is wrong

And you know who tells me this? Backtests!

So far from useless, backtests are very useful in telling you that almost everything you try will fail!
3) Really the only chance of making money is to go some way that is not known by everyone. The way I see it, still identify the market or it's edge cases as "random" but driven by a deterministic process in the statistical way. Extremely freaking hard since if you don't start from the known theory, chances are very very low you'll arrive at something and in the best case that will be the already known facts. And if you start from the known facts, for each "original" thought process you think you may have, think how likely it is that one of the 10s of thousands of mathematicians / quants / traders out there have not arrived at it yet and either already discarded it as non working or actually implement it in their system so the market is already too tight when you arrive at it.