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In short
Some metrics don't agree with each other, so treat the figures with caution. Tracked since 18 Sep 2026, 15 measurements.
How it changed
Measured every night. Over 15 days: -1.0K subscribers. A break in the line means the channel did not respond that day.
Against the Other category
Compared only against its own category: normal values differ for a channel with ten thousand subscribers and one with two million. The median is computed over 30631 objects in the category.
Questions
Is @sk_trading_profit an active channel?
It didn't respond at the last check on 1 Nov 2026. That can be temporary — we check it every night.
Does @sk_trading_profit have fake subscribers?
The metrics don't add up. That isn't proof of fake subscribers, but it's a reason to look closer before buying an ad. Our measurements: metric consistency 0/100. Inflated views can't be fully ruled out from the outside, so this is an observation, not a guarantee. How to check it yourself
