📅 Original date posted:2022-12-23
📝 Original message:Necessary or not - it doesn't hurt to plan the robust model, just in case. The proposal is:
Let every 210,000 the code calculate the average difficulty of 100 last retargets (100 fit well in 210,000 / 2016 = 104.166)
and compare with the maximum of all such values calculated before, every 210,000 blocks:
if average_diff_of_last_100_retargets > maximum_of_all_previous_average_diffs
do halving
else
do nothing
This way:
1. system cannot be played
2. only in case of destructive halving: system waits for the recovery of network security
Best Regards
Jaroslaw
jk_14 at op.pl [ARCHIVE] /
npub1da…07r9n
2023-06-07 23:17:57
in reply to nevent1q…60n5
Author Public Key
npub1dalwmzu6f0yqdl0cy8qeaa6zcrzkara3jh8jjv7zky5s0tuypatsu07r9nPublished at
2023-06-07 23:17:57Event JSON
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"content": "📅 Original date posted:2022-12-23\n📝 Original message:Necessary or not - it doesn't hurt to plan the robust model, just in case. The proposal is:\n\nLet every 210,000 the code calculate the average difficulty of 100 last retargets (100 fit well in 210,000 / 2016 = 104.166)\nand compare with the maximum of all such values calculated before, every 210,000 blocks:\n\n\nif average_diff_of_last_100_retargets \u003e maximum_of_all_previous_average_diffs\n\tdo halving\nelse\n\tdo nothing\n\n\nThis way:\n\n1. system cannot be played\n2. only in case of destructive halving: system waits for the recovery of network security\n\n\nBest Regards\nJaroslaw",
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