Yes we can run epidemiological simulations and Laurent a big defender of filtering has just proven that it doesn't work
https://twitter.com/LaurentMT/status/1973416866212180089
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nostr:nprofile1qyt8wumn8ghj7etyv4hzumn0wd68ytnvv9hxgtcpzemhxue69uhks6tnwshxummnw3ezumrpdejz7qpq2rv5lskctqxxs2c8rf2zlzc7xx3qpvzs3w4etgemauy9thegr43sugh36r, I'm curious if you agree with the chart.
~85% is generous imo. You could push it more aggressively to 95–99%, but I figured 85% would serve as a starting point, since I didn't want the whole discussion to revolve around the arbitrary majority needed for a filter to be noticed.
Yes, I think it is a good way to visualize the concept. Thank you for creating it. Two thoguhts: I would suggest using a different label for the x-axis, perhaps something more specific like "monetary transaction fees," instead of "transaction use case."
I also think that without filters, monetary txs can displace jpgs, which doesn't look like it is the case in this graph. Thanks again. Wdyt?