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Telegram profile photo for 中国医疗改革同盟

Supergroup

中国医疗改革同盟

@chinamedical

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

1,479members

+216 since we began measuring on 7 August 2026

12 online right now

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

Register entry

Telegram ID-1001371567727
TypeSupergroup
Username@chinamedical
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 September 2026
Last confirmed live12 October 2026
Measurements held17
Confirmed unchanged1 time, most recently 12 October 2026
On Telegramt.me/chinamedical

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 29 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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

1,2631,4801,371.57 August 2026 — 1,263 members7 August 2026 — 1,267 members10 August 2026 — 1,283 members14 August 2026 — 1,300 members17 August 2026 — 1,331 members20 August 2026 — 1,346 members24 August 2026 — 1,363 members27 August 2026 — 1,391 members2 September 2026 — 1,388 members5 September 2026 — 1,395 members10 September 2026 — 1,412 members14 September 2026 — 1,409 members18 September 2026 — 1,418 members27 September 2026 — 1,428 members29 September 2026 — 1,428 members5 October 2026 — 1,480 members12 October 2026 — 1,479 members1,4797 August 202612 October 2026
17 measurements spanning 66 days, net +216. 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 1,230–1,513 and does not start at zero.
Measurement log — every members count we have recorded
Measured (UTC)MembersChange
12 Oct 2026, 11:061,479-1
5 Oct 2026, 19:211,480+52
29 Sept 2026, 03:501,428no change
27 Sept 2026, 22:411,428+10
18 Sept 2026, 09:581,418+9
14 Sept 2026, 09:161,409-3
10 Sept 2026, 23:371,412+17
5 Sept 2026, 23:181,395+7
2 Sept 2026, 04:441,388-3
27 Aug 2026, 07:241,391+28
24 Aug 2026, 10:451,363+17
20 Aug 2026, 18:541,346+15
17 Aug 2026, 12:191,331+31
14 Aug 2026, 01:581,300+17
10 Aug 2026, 11:011,283+16
7 Aug 2026, 18:541,267+4
7 Aug 2026, 10:151,263first 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 12 October 2026 — this entry's latest reading, not the date you are reading this.

“中国医疗改革同盟” (@chinamedical), 1,479 members as measured 12 October 2026. Telegram Register, tgregister.com/channel/chinamedical.

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.