Thread

nostr:nprofile1qyg8wumn8ghj7nn0wd68ytnhd9hx2qg4waehxw309ajkgetw9ehx7um5wghxcctwvsqzp6y2dy0f3kvc0jty2gwl7cqztas8qqmc5jrerqxuhw622qnc2pq3x3x7wj Based on popular demand.

anything outside of the pink box is uncontroversial, so you need to justify why something should be included

nice, the X axis is important here. It's where the "filters work vs dont work" discussion is breaking down.

You are likely pink, most are pink nostr:nevent1qqsq96x892vt4c5krkessjulttr9mwf4f9fkmgkgzpee6m068244rkqpzemhxue69uhhyetvv9ujuurjd9kkzmpwdejhgpgj7ly

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

I wonder of min relay fee would be a good model to analyze. Most nodes filtered less than 1sat/vbyte, but from a bystander's view when fees dropped below that, it didn't seem like there was any trouble filling blocks with sub 1/sat/vbyte. How would you measure the friction?

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?

> I also think that without filters, monetary txs can displace jpgs, which doesn't look like it is the case in this graph. I would generally agree. The minimum demand/value of a monetary tx/usecase would need to be higher than the highest demand/value of a "jpeg" tx in order to have zero spam/jpegs in the next block. This isn't intuitively represented I suppose for the graph (based on the x axis as you point out), but it's how I intended this to be interpreted.