I understand the point you’re making. Validators and collators share similar work activities and failure modes.
But there’s a difference in that collators are an operational cost to the parachain, whereas validators are a cost to the entirety of the Polkadot network. The risk of collator failure is a loss of block output on a single parachain. It may also be an exploitable failure impacting users of the parachain.
But loss of a validator node, or worse compromise, places the entirety of the network at risk. Hence, the importance and effort made to harden the NPoS over the last 10 years.
It doesn’t come down to raw costs, but instead to risk mitigation.
To give a personal example, I work as a controls engineer at an auto manufacturer. Much of my time is spent monitoring systems, making small changes when new component part numbers are released, generating some reports, rebooting computers that IT buggered up, and answering questions about machines that people could find in the manuals.
99% of the time, my work could be handled by just about anyone with a Google search tab open. Except the 1% when SHTF and the entire assembly plant grinds to a stop because something, somewhere, decided to stop working. Now, suddenly, production managers, maintenance managers, manufacturing managers, quality managers, and their entire teams are dead in the water because no one knows what went wrong, let alone how to fix it.
My career is based on learning and understanding complex, critical systems, mitigating failures, and recovering to standard operation when they inevitably fail.
The price premium of well-selected validators is based less on the tangible, “what do they do?” and more on the, “what do they know?”
Granted, if anyone has updated, accurate validator total operating cost assessments, I’d be interested to see it.