You're celebrating that HIVE is quite cheap to interact with compared to the other popular chains..
But you're also making the claim that once HIVE gets heavier use through THREADS... it will start to become costly to users.
So you're really highlighting the point I've made in the past that HIVE is only "Fast and Feeless" because it's not utilized much. Also the other logical point then is... once it becomes expensive to use then it will completely lose it's celebrated advantage to other chains.
So you and @edicted are completely delusional making these claims that RC EXPENSES will be what gives HIVE TOKEN price appreciation.
It's a completely idiotic notion too.
"Come early to Hive and enjoy the cheap transactions.. because in the future you won't have it so good... IF user numbers ever grow."
So in other words.. if you enjoy your cheap Hive Blockchain, it would be beneficial to you if it stays under utilized.
There's no logic in your analysis.
Overall... it should also be obious that the system by design is meant to stay smalltime. If Threads ever does push 70k pet day... you can bet that by then @blocktades would bump up the costs of the operations that LEO contributes in the same way he made CUSTOM_JSON much more expensive in response to SplinterLands high usage of them.
Making it even more expensive and illogical to run a "Crypto Twitter" on top of Hive and so it will be a dead end for growth.
Certainly costs rise as activity increases. However, there are levels of advancement. We are nowhere near 100% usage on Hive. 70K per day wouldnt even get things breathing hard.
Actually math is the logic. If it cost $1M to run the chain, and there are 100K transactions, the cost per transaction decreases with an increase to 1M. The cost declined by 90%.
Of course, that hold true until another level of expansion is required, which drives the total price up. This is where scaling enters.
Finally, there is a point, you are right, where it becomes non-feasible to have each OMG and yes sir on chain. That is where less expensive data storage can enter.
This is a network. We know over time that costs decline and performance goes up. This is computing 101.
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