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Channel

Sleep Medicine Channel

@Sleep_Medicine

On this record: Topic · Growth · Engagement · Citations · Cite this entry

2,347subscribers

+70 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001351292154
TypeChannel
Username@Sleep_Medicine
DescriptionThe 1st #Sleep 💬 Medicine and Sleep Disorders Technology Telegram Channel . Together removing the barriers of Science and knowledge from the way of Sleep Medicine Physicians & Sleep Technologists 🗨🗨. @Sleep_medicine.
Created24 August 2020measured — cross-checked against a third-party dataset (TGDataset)
First recorded17 September 2026
Last confirmed live17 September 2026
Measurements held13
On Telegramt.me/Sleep_Medicine

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 17 September 2026 and assigned it the closest of 31 fixed categories, at 82% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

2,2772,3472,31211 August 2026 — 2,277 subscribers12 August 2026 — 2,279 subscribers15 August 2026 — 2,281 subscribers18 August 2026 — 2,311 subscribers21 August 2026 — 2,315 subscribers24 August 2026 — 2,325 subscribers27 August 2026 — 2,329 subscribers31 August 2026 — 2,330 subscribers2 September 2026 — 2,331 subscribers7 September 2026 — 2,336 subscribers12 September 2026 — 2,343 subscribers15 September 2026 — 2,347 subscribers17 September 2026 — 2,347 subscribers11 August 202617 September 2026
13 measurements spanning 36 days, net +70. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,267–2,358 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 01:152,347no change
15 Sept 2026, 16:382,347+4
12 Sept 2026, 02:562,343+7
7 Sept 2026, 11:162,336+5
2 Sept 2026, 16:452,331+1
31 Aug 2026, 00:332,330+1
27 Aug 2026, 20:342,329+4
24 Aug 2026, 17:462,325+10
21 Aug 2026, 10:022,315+4
18 Aug 2026, 12:032,311+30
15 Aug 2026, 17:562,281+2
12 Aug 2026, 16:142,279+2
11 Aug 2026, 21:452,277first reading

Engagement

Posts not read yet. This entry is on the register from its profile alone; the post reader has not reached it. Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind it.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Sleep Medicine Channel” (@Sleep_Medicine), 2,347 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Sleep_Medicine.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.