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Telegram profile photo for Libros Medicina PDF

Supergroup

Libros Medicina PDF

@bibliotecamedicavirtual

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

8,555members

-232 since we began measuring on 7 August 2026

109 online right now

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

Register entry

Telegram ID-1001455747564
TypeSupergroup
Username@bibliotecamedicavirtual
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live29 October 2026
Measurements held23
Confirmed unchanged1 time, most recently 29 October 2026
On Telegramt.me/bibliotecamedicavirtual

Topic

Literature — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 46% 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

8,5558,7878,6717 August 2026 — 8,787 members11 August 2026 — 8,782 members14 August 2026 — 8,772 members17 August 2026 — 8,767 members20 August 2026 — 8,754 members24 August 2026 — 8,747 members24 August 2026 — 8,747 members27 August 2026 — 8,742 members29 August 2026 — 8,738 members1 September 2026 — 8,726 members5 September 2026 — 8,715 members10 September 2026 — 8,698 members14 September 2026 — 8,683 members18 September 2026 — 8,668 members27 September 2026 — 8,649 members5 October 2026 — 8,625 members11 October 2026 — 8,609 members14 October 2026 — 8,600 members17 October 2026 — 8,590 members20 October 2026 — 8,583 members23 October 2026 — 8,578 members26 October 2026 — 8,564 members29 October 2026 — 8,555 members7 August 202629 October 2026
23 measurements spanning 83 days, net -232. 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 8,520–8,822 and does not start at zero.
Measurement log — every members count we have recorded, most recent 20 of 23
Measured (UTC)MembersChange
29 Oct 2026, 15:098,555-9
26 Oct 2026, 07:468,564-14
23 Oct 2026, 07:008,578-5
20 Oct 2026, 12:318,583-7
17 Oct 2026, 09:268,590-10
14 Oct 2026, 19:368,600-9
11 Oct 2026, 16:018,609-16
5 Oct 2026, 11:208,625-24
27 Sept 2026, 18:588,649-19
18 Sept 2026, 17:558,668-15
14 Sept 2026, 17:008,683-15
10 Sept 2026, 20:408,698-17
5 Sept 2026, 21:408,715-11
1 Sept 2026, 18:098,726-12
29 Aug 2026, 20:078,738-4
27 Aug 2026, 01:368,742-5
24 Aug 2026, 18:548,747no change
24 Aug 2026, 11:338,747-7
20 Aug 2026, 22:268,754-13
17 Aug 2026, 18:338,767first reading

Engagement

No public post preview. We read this entry on 24 August 2026 and Telegram serves no public post stream for it — the channel has previews switched off, or it is a group or bot with no readable feed. Views, reactions and engagement rates cannot be measured from the outside for an entry in this state, so we publish none. Subscriber counts above are unaffected.

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 29 October 2026 — this entry's latest reading, not the date you are reading this.

“Libros Medicina PDF” (@bibliotecamedicavirtual), 8,555 members as measured 29 October 2026. Telegram Register, tgregister.com/channel/bibliotecamedicavirtual.

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.