Quote from: lethos3 on June 23, 2016, 05:47:10 PM

Quote from: iamnotback on June 23, 2016, 04:59:27 PM

Quote from: iCEBREAKER on June 23, 2016, 04:29:07 PM

Monero's block reward subsidy gets smaller every block, and may be traded off in exchange for larger blocks.

You entirely didn't understand the issue, because the quoted is irrelevant to the issue I pointed out.

PWNED again.

This confirms that everyone in Monero is a clueless idiot, since none of them have yet admitted that what I pointed out in my prior post, totally REKTED Monero and all other proof-of-work altcoins. Actually the author of dao attack is the one who pointed this issue out, but I also remember being aware of this issue in the past. It is one of the reasons I invented unprofitable proof-of-work.

Smooth your damage-control-lies are not what I expected from you. What ever you do to adjust the algorithm to compensate in one way, will open a vulnerability in another way. It is absolutely insoluble for to defend against even a 10X attack, not to mention a 100X attack. Arguing that any significant number of miners will indefinitely mine at 0 income is disingenuous. The difference between the 51% attack and the 10X burst attack is not that the total hashrate expended by the attacker is less, but that it is 10X less income for the other miners.

Note I don't enjoy having to say this against smooth. I respect smooth, but this is out-of-character for him.

The problem is not that you may not be correct on this vector but assuming that a $1 bi Monero or even a $100 mi Monero would have the same hashrate as a $10 mi Monero waiting for a suppose attack.

smooth already explained why, in terms of hashrate and tx fees, More Is Different when it comes to a 1000X botnet attack on a billion dollar proof of work ecosystem vs our current $10 mi one.

Shelby is unteachable. He can't understand basic economic concepts of marginalism, or at least cannot apply them properly.

His Dunning Kruger affliction is overwhelming, but not uncommon. Many codemonkeys fail at understanding messy-but-robust complex dynamic systems such as economics and law, which are utterly unlike the pristine-but-brittle digital reality where they are natives.

OTOH, a physicist like Articmine has spend a career studying the subtle intricacies of self-organization, scale invariance, and phase transition, so grasping an idea like supply and demand equilibrium is easy.