Cameron Builds

Data

Lately, I've heard ppl saying that a lot of high-quality users are joining Farcaster. So I decided to check the data, and here's what I found:

- Since Aug 01, FC has gained 20k new users
- 9k casted at least once
- 5k casted 1-10 times 
- 550 casted 100+ times
- 160 casted more than 370 times
 
The data (which I got via @neynar) shows that over 50% of the new users have never made a cast. For context, the average OG user, such as @phil, makes about 369 casts per month (root + replies).

weird internet kid. word rotator. building /seemore. yapping on /okbanger. curating in /cameron + pdfproject.org | dev + vet + HBS. 
seemore.tv/cameron 🫡

This data is actually better than I thought it would be lmfao

neuroscience phd, DeSci advocate, interfaith chaplain. co-host of the /okbanger show and vibe imagineer for /christin. https://seemore.tv/christin

Lmfao before seeing this I'd of said half those numbers even, I saw he doesn't see this as positive but imo this is actually positive growth

Purp, you don't have to be afraid. Feel free to share your perspective and how you are reading the data. We can have an intelligent and honest discussion

I personally am seriously pleasantly surprised by the data

I even built a quick app that runs locally on my PC. Each time you click refresh, it shows a new user who joined since August 1. The goal was to see how many high-quality users I could find in 30 minutes, but I found none

Hopefully you didn't miss this part. So even from the 50% that do cast, its very very hard to find any quality users

Hopefully you didn't miss this part. So even from the 50% that do cast, its very very hard to find any quality users

https://warpcast.com/ghostlinkz.eth/0x81d35545

So in terms of this data set how do you define a quality user, or is that your same arbitrary system you're been using since you've started using data to support your bias?

My bar for quality is really really low. You go to a users profile and take a look at their casts (root + replies). I dunno what you think im up to, but my data is also public and you can go see that ive been a good actor on here and only want the best for Farcaster. If you have a better suggestion for how to define quality users, please share with us

I'm not going to go through 20k users, but in the past you've marked contributing dao members who vote and participate in dao conversations as spam accounts, so I very much doubt your methods on that regard, but just comparing new posters cast to og members cast habits shows your bias, considering it takes a while actually form the habits to succeed here

The data is public, so you can analyze it, make observations, and offer rebuttals. But it sounds like you just don't like me cuz I made observations and did not feel afraid to speak my mind? We both know that's not gona bother me or stop me lol

No I don't have really an opinion of you personally lmfao nor do I think that much into shit. But I do think you use data to prove your bias absolutely 100%

What is my bias? I was literally boosting you for months when you were the top caster on the network via Outcasters. I hope you didn't forget about all that. I want nothing more than to see Farcaster blow the f up and become bigger than Twitter and Reddit. It's wild that this isn't clear to users like you

I mean it's deep enough for you to not reply to my casts directly, but to go ahead and quote me or reply about me on others ppls casts. Fuck it tho, I got love for you Purp! Let's just agree to disagree and I welcome your rebuttals whenever I share data/observations

Lmfao I didn't forget, but that doesn't mean I've got to agree with you either, and I don't doubt your intentions or anything I belive you do, I'm not sure where you got these wild assumptions about me, I simply disagree with your output, but at end of the day it's really not that deep to Me, it took me six months to get traction on this app, and I'm meeting new people and having quality engagement and growing daily, so like lol again it's really not that deep to me

Which is why I didn't engage with you directly till you made your don't be afraid post lmfao I couldn't care about someone's else interpretation of narrow sample data, I'm having fun on the network