The Art of the Shadowdan: Web3 social is supposed to be different than Web2 social; instead, it’s more of the same

The Art of the Shadowdan: Web3 social is supposed to be different than Web2 social; instead, it’s more of the same https://geoffgolberg.medium.com/the-art-of-the-shadowdan-26c9e740415e

I like running, poker and oysters | Founder, Social Forensics (SocialForensics.com) | Berkeley & UPenn | Learning to listen

I like when data speak for themselves, but I don't like data interpreted in a biased way. imho you are starting from the conviction that you were manually shadow banned by @dwr.eth and are searching for a confirmation in the data, presenting only the data that support your thesis. 
🧵👇

this is the contrary of the scientific method. We need to formulate other hypothesis and consider many cases.
have you tried to calculate your engagement to total casts ratio? 
I skimmed thru your timeline: you cast a lot and you get almost 1 or 2 like per cast 🧵👇

otherwise it will be enough to cast A LOT to easily add up likes as absolute number.
Maybe it’s time to formulate a new hypothesis and experiment to find out how the algorithm works without the bias of manual banning.

except the couple of bangers last week that received a lot of likes (50+) and recasts.
I’m pretty sure the PowerBadge formula consider that only a couple of bangers over many cast are not enough to get the badge. The algo is not public, but if I was to design it I would certainly consider this, 🧵👇