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Telegram profile photo for Heilzentren Deutschland / German Group

Supergroup

Heilzentren Deutschland / German Group

@med_bed_german_group

Has discussion group

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

5,684members

-456 since we began measuring on 7 August 2026

726 online right now

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001664233991
TypeSupergroup
Username@med_bed_german_group
Created4 November 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded29 August 2026
Last confirmed live2 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/med_bed_german_group

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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 the other topics.

Growth

5,6846,1405,9127 August 2026 — 6,140 members8 August 2026 — 6,139 members11 August 2026 — 6,134 members14 August 2026 — 6,123 members17 August 2026 — 6,119 members20 August 2026 — 6,116 members23 August 2026 — 6,108 members26 August 2026 — 6,104 members29 August 2026 — 6,104 members29 August 2026 — 6,099 members1 September 2026 — 5,890 members4 September 2026 — 5,768 members10 September 2026 — 5,760 members13 September 2026 — 5,753 members18 September 2026 — 5,740 members26 September 2026 — 5,727 members5 October 2026 — 5,724 members11 October 2026 — 5,725 members14 October 2026 — 5,717 members17 October 2026 — 5,703 members20 October 2026 — 5,697 members23 October 2026 — 5,698 members30 October 2026 — 5,686 members2 November 2026 — 5,684 members7 August 20262 November 2026
24 measurements spanning 87 days, net -456. 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 5,616–6,208 and does not start at zero.
Measurement log — every members count we have recorded, most recent 20 of 24
Measured (UTC)MembersChange
2 Nov 2026, 08:545,684-2
30 Oct 2026, 03:305,686-12
23 Oct 2026, 14:055,698+1
20 Oct 2026, 23:015,697-6
17 Oct 2026, 14:295,703-14
14 Oct 2026, 21:495,717-8
11 Oct 2026, 08:565,725+1
5 Oct 2026, 07:165,724-3
26 Sept 2026, 21:025,727-13
18 Sept 2026, 02:405,740-13
13 Sept 2026, 22:175,753-7
10 Sept 2026, 08:005,760-8
4 Sept 2026, 18:565,768-122
1 Sept 2026, 05:255,890-209
29 Aug 2026, 15:346,099-5
29 Aug 2026, 12:036,104no change
26 Aug 2026, 06:556,104-4
23 Aug 2026, 15:486,108-8
20 Aug 2026, 07:346,116-3
17 Aug 2026, 14:086,119first 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.

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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“Heilzentren Deutschland / German Group” (@med_bed_german_group), 5,684 members as measured 2 November 2026. Telegram Register, tgregister.com/channel/med_bed_german_group.

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.