Njal

@cryptonjal

439 Following

358 Followers

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My tipping in perspective: 🪀Until around early Aug. '25 I will tip $YOYO, every week, mostly on Sat./ Sun. to everyone on my list with /rewardr (add @dosir's mini app to receive notifications!) CA: 0xE31876C6A62A813f57b815d8d2d0F5c8Aa06f49B (Base layer) 💰 At that time, I expect that we are realizing that we are in a bear market. So I'm planning to tip $USDC at that time, and I'm saving my Farcaster rewards for that. If you're curious, the wallet address with my tipping treasury is: 0x9974e8d237e5fc71C051800d66b85C5B2B238f6A

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not ready yet 🫡 Blocked mini app by @mvr

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I knew that spam accounts are created en masse, but it surprised me that some were very easy to filter out on Dune surprised me. It gives an insight into the success rate of 'spam' accounts. - 3,063 accounts that showed the same behaviour in groups of more than 15; - There even seems to be a group of 500 to 800 accounts that have almost all received a spam label 0 after around 13 replies and 13 likes (disposable accounts); - From these 3,063 accounts, there were 93 with a label 2, and 2 without a label. That's a success rate of 96.9%, the other 3.1% are false positives, and no labels. - A large proportion of the accounts not identified as spam (89) were in smaller groups, which may suggest a different strategy of these groups of accounts. Here, the success rate is 90.4%. 9.4% of accounts slip through.

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What do you read these days?

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Bought 🫡🌳

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To indicate the effect of the changing spam labels on the data with active FIDs, I have tabled the data from April based on the last three spam label datasets. Share of spam label 0 decreased from 66.6% to 54.5% Share of spam label 2 increased from 16.1% to 40.6% The data with spam label flows (courtesy of @mvr) clearly shows that the netflow in the dataset with spam labels is in favour of spam label 2.

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Data from all Pro subscriptions 👇🏼

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https://farcaster.xyz/cryptonjal/0xe678c1a2

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On request: spam label changes in the first 10k pro subscribers From 0 to 2: 1,338 From 2 to 0: 259 From no label to 0: 340 From no label to 2: 685 From 2 to no label: 1 The labels of 26.2% of the 10k FIDs changed! Spam label 0 decreased by 36.0% Spam label 2 increased by 29.4% No label decreased by 52.3% Total labels in the attached image. I added the data to my dataset on Dune: dune.nhejyht.dataset_fc_pro_10k @mvr @pichi

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And the total spam label changes

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A significant change in spam labels. If I compare last month's data, the active label 2 accounts have gone from 72.1k to 83.5k. No labels went down from 19.7k to 11.2k and spam label 0 from 93.1k to 90.2k. Casters get the benefit of the doubt.

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Framedl 2025-06-04 3/6* 🫡

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'High signal' love how they use this word. Everyone want to be a high signal user, and everyone want to read high signal content. I have no Idea what it means. Casters with Pro seems to be high signal, and who knows who else. If your high on the rewards board it will be considered high signal content. I can speculate, but it's still untouchable, a container concept. Love it. https://farcaster.xyz/dwr.eth/0x9a3bca77 https://farcaster.xyz/deodad/0x3fb1f8e9

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Surprisingly outcome: in, 45% of all positions the reward doesn't change at all! 🔼 Highest change: # 31 - 80 +240% (1.7% of all positions) (of course 2,531 - 3,000 is infinite percentage higher) 🔽 Lowest change: # 181 - 230 -20% (1.7% of all positions) 🟦 No change at all: # 381 - 530, # 781 - 1,030, # 1581 - 2530 (45% of all positions) PS I know the chart is difficult to read.

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Based on data from @mvr and me, about the 1st 10k Pro subscribers: - 109 FIDs were created after the announcement (1.1%) - 1,404 FIDs were created during the event (first cast during or after the event) (14.0%) - 2,460 FIDs were spammy users based on a mix of spam labels and Neynar score (24.6%) - 816 FIDs without a judgement about spammy behaviour (8.2%) - 5,211 FIDs where not spammy (52.1%) with 150 FIDs with where little active and/or low engagement Measured only by spam label, 5,988 FIDs (59.9%) has a label 2. This is 26.0% in the total Farcaster population, so there is a higher change of good behaving casters if someone has a Pro account, but spam measurements like spam labels and Neynar score are better. Btw, a Neynar score around 0.5 is neutral, it has no opinion whether an account is spammy or not. The more the number differences from 0.5 the stronger the signal is for the behaviour. All new created FID starts with a score of 0.5. See also for conclusion per FID: https://dune.com/queries/5200345

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I love this public research ❤ Building a better Farcaster with data together. @mvr @mani @pichi

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If you aren't following @mvr, you should now.

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I think that it is more complex under the surface. Yes, rewards seems to have effect on the mix of casting, replying and liking (I will shorten this to CRL), but mainly for casters with spam label 0. Besides that, there's also an extra effect: after the huge increase in ETH-price appreciation, namely from 11 May. This also changes the CRL-mix of spam label 0. Before general available rewards, the CRL-mix was more stable for spam label 0. The CRL-mix of spam label 2 is still stable, and changes gradual overtime (if you look very well). Only after the ETH-price appreciation, the amount of engagement changes, both spam label 0 and 2. This result in relative higher percentage of label 0 cast, and a relative higher percentage of label 2 replies. So, both Rewards as market circumstances change casting behaviour, but spam label 0 is more opportunistic.

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Added a list with unfollowers who a fid still follows. https://dune.com/nhejyht/farcaster-followers-audit Also made a similar dashboard for casters who are following a certain fid. So, you can check if you missed someone, who's worth following. https://dune.com/nhejyht/farcaster-following-back-or-not-audit

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