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. 
🧵👇

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, 🧵👇

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.

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 🧵👇

I will send you the dataset I used 

Slice it however you’d like

You won’t be able to paint a picture that justifies my account being stripped of the Power Badge