Study confession
owner — @sophiewsk 🫶🏻🫂 тейки присылать сюда — @studyhelpconfession_bot navigation — https://t.me/studyhelpconfession/1175
Из чего сложился балл
In short
@studyhelpconfession is a mid-sized channel for the Other category: a post reaches 0.2% of subscribers — lower than 99% of channels in the category. Publishes 1200 posts a month — more often than 98% of channels in the category. Some metrics don't agree with each other, so treat the figures with caution. Tracked since 28 Oct 2026, 1 measurements.
Position in the Other category
A score of 1 — last in the category. Every grey dot is another object from the same category.
How it changed
History is still building up: 1 measurements so far. We take readings every night, and in a few days a change chart will appear here.
Views on recent posts
Older posts on the left, newer on the right. A flat line means a steady audience; a jagged one means the channel leans on the occasional viral post.
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 30154 objects in the category.
Questions
Is @studyhelpconfession an active channel?
Yes. It responded at the last check on 28 Oct 2026 and published 1200 posts in the past 30 days.
Does @studyhelpconfession 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: an average post reaches 0.2% of subscribers, metric consistency 65/100. Inflated views can't be fully ruled out from the outside, so this is an observation, not a guarantee. How to check it yourself
How many people see a post in @studyhelpconfession?
The median post gets 4 views — 0.2% of 2.1K subscribers. Ad prices are better judged by this number than by the subscriber count. Why reach matters more than subscribers