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
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