RichInTheory
BANNED
- Jan 10, 2026
- 4
- 2
Most replies on my last thread focused heavily on proxies, 1 IP per account, anti detect setups, etc. But I want to approach this from another angle.
My farm is manual. Each phone has its own SIM and its own data plan. No services, no clients, just pushing my own YouTube channels. Basically one account per phone using real carrier data.
Now I’m questioning whether proxies actually make things safer or just add another risk layer. Real mobile data rotates IPs naturally, changes towers, looks messy and normal. Proxies, even good ones, are still structured infrastructure that may already be under heavier scrutiny.
What I’m trying to understand is how YouTube really flags farm activity.
Is it IP and location clustering
Is it sudden activity spikes compared to channel history
Is it similar behavior patterns across accounts
Or long term device and usage fingerprinting
With my current setup I’m not inflating views aggressively. What I’m seeing is better distribution and stronger organic growth. New uploads get picked up faster and recommendations improved. So something is clearly moving.
The real question is about scaling. If multiple phones are in the same physical location but on different SIM data, does that alone create risk over time. Or is coordinated behavior the bigger trigger.
For those running manual SIM based farms, did you find it more stable than proxy setups. And what usually breaks first when scaling.
My farm is manual. Each phone has its own SIM and its own data plan. No services, no clients, just pushing my own YouTube channels. Basically one account per phone using real carrier data.
Now I’m questioning whether proxies actually make things safer or just add another risk layer. Real mobile data rotates IPs naturally, changes towers, looks messy and normal. Proxies, even good ones, are still structured infrastructure that may already be under heavier scrutiny.
What I’m trying to understand is how YouTube really flags farm activity.
Is it IP and location clustering
Is it sudden activity spikes compared to channel history
Is it similar behavior patterns across accounts
Or long term device and usage fingerprinting
With my current setup I’m not inflating views aggressively. What I’m seeing is better distribution and stronger organic growth. New uploads get picked up faster and recommendations improved. So something is clearly moving.
The real question is about scaling. If multiple phones are in the same physical location but on different SIM data, does that alone create risk over time. Or is coordinated behavior the bigger trigger.
For those running manual SIM based farms, did you find it more stable than proxy setups. And what usually breaks first when scaling.