Channel
Libros en Criminalística y Ciencias Forenses
@CriminalisticayCienciasForenses
On this record: Topic · Growth · Engagement · Telegram's recommendations · Cite this entry
3,776subscribers
+162 since we began measuring on 31 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001683387117 |
|---|---|
| Type | Channel |
| Username | @CriminalisticayCienciasForenses |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 September 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/CriminalisticayCienciasForenses |
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 17 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 01:47 | 3,776 | +13 |
| 4 Nov 2026, 18:49 | 3,763 | +4 |
| 2 Nov 2026, 03:39 | 3,759 | -1 |
| 30 Oct 2026, 06:41 | 3,760 | +13 |
| 27 Oct 2026, 01:18 | 3,747 | -3 |
| 24 Oct 2026, 11:35 | 3,750 | +1 |
| 21 Oct 2026, 01:36 | 3,749 | +3 |
| 18 Oct 2026, 03:16 | 3,746 | +3 |
| 15 Oct 2026, 03:07 | 3,743 | +6 |
| 11 Oct 2026, 20:21 | 3,737 | +19 |
| 5 Oct 2026, 01:38 | 3,718 | +26 |
| 25 Sept 2026, 18:00 | 3,692 | +36 |
| 17 Sept 2026, 06:16 | 3,656 | +2 |
| 13 Sept 2026, 15:40 | 3,654 | +19 |
| 9 Sept 2026, 11:21 | 3,635 | +11 |
| 7 Sept 2026, 13:43 | 3,624 | no change |
| 4 Sept 2026, 02:20 | 3,624 | +9 |
| 31 Aug 2026, 12:04 | 3,615 | +1 |
| 31 Aug 2026, 02:30 | 3,614 | first 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 Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind it.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@forensicmedicine_videos · 29,018
Telegram ranks this channel #31 of 71 here — alongside 70 others — read 9 September 2026
@librosdeenfermeriaysalud · 41,746
Telegram ranks this channel #47 of 51 here — alongside 50 others — read 1 October 2026
@literaturamedica · 39,179
Telegram ranks this channel #49 of 53 here — alongside 52 others — read 31 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“Libros en Criminalística y Ciencias Forenses” (@CriminalisticayCienciasForenses), 3,776 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/CriminalisticayCienciasForenses.
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.