Other / unclassifiable โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelโs own recent posts on 1 October 2026 and assigned it the closest of 31 fixed categories, at 56% confidence. This is a modelโs 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 โ 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
8 measurements spanning 64 days, net +1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ snapshots are recorded only when a count changes, so gaps mean โno change observedโ, never โinterpolatedโ. The vertical axis spans 20โ26 and does not start at zero.
Measurement log โ every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Oct 2026, 18:36
24
+1
29 Sept 2026, 22:35
23
+2
7 Sept 2026, 12:37
21
-3
28 Aug 2026, 21:05
24
-1
22 Aug 2026, 07:17
25
+1
15 Aug 2026, 20:42
24
+1
11 Aug 2026, 12:04
23
no change
7 Aug 2026, 19:29
23
first reading
Engagement
20 posts held, back to 16 June 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 1 page of Telegramโs post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute โ we hold 20 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
9m 34s
Average length
1m 55s
Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel โ not this channelโs whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegramโs own rounded chrome, so it carries no โ mark.
Reaction mix
32 reactions across 12 posts, in 10 distinct kinds. The most used accounts for 28.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
๐
9
28.1%
โค
5
15.6%
๐ฅ
5
15.6%
๐ข
3
9.38%
๐
2
6.25%
๐
2
6.25%
๐
2
6.25%
๐คฃ
2
6.25%
๐ฉ
1
3.13%
๐จ
1
3.13%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities โ ๐ is thanks in one channel and mourning in another โ so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one โ 4.34K, 1.2M โ so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 12 of the 20 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 32 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 20 most recent posts we hold, published 16 June 2026 to 4 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Nadie es mรกs odiado que
aquel que dice la verdad.
La mentira es un refugio construido por la sociedad para protegerse de la realidad.
Pero la realidad, tarde o temprano, termina por derrumbar esa estructura.
Quien dice las cosas como son se convierte en un intruso.
Expone las contradicciones, las ilusiones y la fragilidad de quienes lo rodean, y por ello suele provocar rechazo.
El mentiroso, en cambio, gana afecto pโฆ
Lionel Scaloni proyecta una imagen de serenidad, disciplina y fortaleza mental. Suele mantener la calma incluso bajo mรกxima presiรณn, controla sus emociones en pรบblico y transmite liderazgo sobrio, con un perfil reservado y poco dado a gestos dramรกticos.
๐จ๐ก๐ ๐๐๐ก๐๐ ๐๐ข๐ก ๐๐ ๐๐ก๐๐ญ๐๐ฆ
๐๐ฟ๐ด๐ฒ๐ป๐๐ถ๐ป๐ฎ ๐ณ๐๐ฒ ๐ฝ๐ฟ๐ฒ๐๐ถ๐ผ๐ป๐ฎ๐ฑ๐ฎ
๐ฝ๐ฎ๐ฟ๐ฎ ๐ฑ๐ฒ๐ท๐ฎ๐ฟ ๐ด๐ฎ๐ป๐ฎ๐ฟ ๐ฎ ๐๐๐ฝ๐ฎ๐ป๐ฎ..
Hubo un supuesto acuerdo entre FIFA y UEFA para que Espaรฑa fuera campeona.
๐ง๐ผ๐ฑ๐ผ ๐ฐ๐ผ๐บ๐ถ๐ฒ๐ป๐๐ฎ ๐ฐ๐ผ๐ป
La bandera de las Malvinas mostrada en un partido anterior,
fuรฉ lo que provocรณ presiones polรญticas,
amenazas, y reuniones inusuales antes de la final.
๐ง๐๐๐ก๐๐ฆ ๐ค๐จ๐ ๐๐ข๐ก๐ข๐๐๐ฅ ๐๐ ๐ฉ๐๐ฅ๐๐๐
La extraรฑa falta de juego ofensivo de Argentina no puede explicarse s
Showing the 12 most recent of 20 posts we hold for @Forense_autopsia. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
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 10 October 2026 โ this
entry's latest reading, not the date you are reading this.
โ๐๐ข๐ฅ๐๐ก๐ฆ๐: La Autopsiaโ (@Forense_autopsia), 24 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/Forense_autopsia.
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 ยท 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.
