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Channel

OPAL 🇨🇱

@OPALpress

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

16,850subscribers

+707 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001848773883
TypeChannel
Username@OPALpress
Descriptionhttps://prensaopal.cl/
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/OPALpress

Topic

International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 90% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 12 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@tass_es/512395 Aug 2026, 19:31 UTC@OPALpress/25956 · this entry5 Aug 2026, 20:00 UTC1.0029 minutes
@tass_es/5153111 Aug 2026, 14:02 UTC@OPALpress/26102 · this entry11 Aug 2026, 14:03 UTC1.0072 seconds
@tass_es/5160813 Aug 2026, 03:20 UTC@OPALpress/26147 · this entry13 Aug 2026, 10:48 UTC1.007.5 hours
@tass_es/5169314 Aug 2026, 10:20 UTC@OPALpress/26180 · this entry14 Aug 2026, 22:15 UTC1.0012 hours
@tass_es/5190218 Aug 2026, 23:31 UTC@OPALpress/26242 · this entry18 Aug 2026, 23:33 UTC1.002 minutes
@tass_es/5238928 Aug 2026, 23:20 UTC@OPALpress/26485 · this entry29 Aug 2026, 13:43 UTC1.0014 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@tass_es66 (8/8 hand-verifiable sample passed)1.002.1 hours@tass_es (66–0)
@elOJOen28 (8/8 hand-verifiable sample passed)0.994.8 hours@elOJOen (28–0)
@ucraniando27 (8/8 hand-verifiable sample passed)0.994.4 hours@ucraniando (26–1)
@ophiucu25 (8/8 hand-verifiable sample passed)1.001.7 hours@ophiucu (21–4)
@Irinamar_Z24 (8/8 hand-verifiable sample passed)0.991.6 hours@Irinamar_Z (23–1)
@sateliterojo24 (8/8 hand-verifiable sample passed)0.992.5 hours@sateliterojo (23–1)
@albatrops11 (8/8 hand-verifiable sample passed)0.994.5 hours@albatrops (10–1)
@surf_noise_sp10 (8/8 hand-verifiable sample passed)0.994.0 hours@surf_noise_sp (6–4)
@liusivaya9 (8/8 hand-verifiable sample passed)0.9656 minutes@liusivaya (6–3)
@mundomultipolarZOV8 (8/8 hand-verifiable sample passed)0.988.2 hourseven
@ManicatoGeopol5 (5/5 hand-verifiable sample passed)1.003.1 hoursthis entry (5–0)
@ahilesvaALV8 (8/8 hand-verifiable sample passed)1.008.5 hours@ahilesvaALV (8–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 210 of the 214 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 609 comparable posts for this entry, running 5 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 3 channels, the one whose matching posts we hold earliest is @OPALpress — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

16,10916,85316,48116,8506 August 20269 November 2026
65 measurements spanning 96 days, net +707. 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 15,997–16,965 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
9 Nov 2026, 20:2016,850-3
8 Nov 2026, 12:5516,853+23
7 Nov 2026, 03:5616,830+27
6 Nov 2026, 00:1116,803-5
4 Nov 2026, 21:3516,808-1
3 Nov 2026, 18:5916,809+1
2 Nov 2026, 20:4916,808+2
1 Nov 2026, 18:5816,806+5
31 Oct 2026, 17:1716,801+14
30 Oct 2026, 16:0616,787+16
29 Oct 2026, 18:5816,771+12
28 Oct 2026, 20:2816,759-5
27 Oct 2026, 22:1716,764-9
26 Oct 2026, 18:5716,773+12
25 Oct 2026, 22:1416,761+179
24 Oct 2026, 22:4516,582+34
24 Oct 2026, 01:5116,548+17
22 Oct 2026, 22:4616,531+6
21 Oct 2026, 22:4016,525+18
20 Oct 2026, 15:3616,507first reading

Engagement

724 posts held, back to 5 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 71 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.32%
avg views ÷ 16,850 subscribers
Avg views / post
391
191 posts measured
Reaction rate
4.35%
reactions ÷ views · ER floor
Posts in window
191
of 724 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 188 of 191 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held724 (5 August 2026 – 10 November 2026)
Views total74,683
Reactions total3,234
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 04:57 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈13,100
Videos
≈11,800
Links
≈6,130

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
5h 16m
Average length
1m 16s

Measured directly from 251 videos with a duration reading, out of the posts we hold for this channel — not this channel’s 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 Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

11,771 reactions across 690 posts, in 52 distinct kinds. The most used accounts for 18.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤬2,21618.8%
❤1,81015.4%
👍1,80215.3%
👏1,51812.9%
🤮1,20910.3%
💩4864.13%
🔥4093.47%
🤡3933.34%
🖕2562.17%
🤣2231.89%
😁2131.81%
😢1681.43%
💯1481.26%
👎1391.18%
🎉810.688%
🤔760.646%
😱620.527%
😡580.493%
🍾570.484%
🥴560.476%
32 further kinds3913.32%

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 — 🙏 is thanks in one channel and mourning in another — 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 — 4.34K, 1.2M — 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 710 of the 724 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 12,048 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 724 most recent posts we hold, published 5 August 2026 to 10 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 15 of 191 posts held from the last 30 days (7.85%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Nov 2026, 23:44 UTC328 views23 reactionsread 11 November 2026
Photo

Washington se arroga el derecho de sermonear al mundo sobre democracia, derechos humanos y justicia, pero los expedientes de Epstein develan la falacia de ese discurso. Las denuncias contra Trump estrechan el cerco sobre sus vínculos con la red de explotación sexual, mientras las maniobras de ocultamiento amenazan con destapar la olla. Infórmate y comparte, más en : ✅ https://prensaopal.cl/2026/11/10/trump-aparece-3…

🤬18😱2❤1🤣1🤮1

10 Nov 2026, 22:55 UTC336 views11 reactionsread 11 November 2026
Photo

Durante décadas, Washington se presentó como el gran fiscal de la lucha contra el narcotráfico, mientras sus propios archivos registraban los vínculos entre las mafias y las más altas esferas del poder colombiano. Documentos desclasificados revelan una historia incómoda: la corrupción era conocida, pero también utilizada como herramienta de presión política. Infórmate y comparte, más en : ✅ https://prensaopal.cl/20…

👍10🤮1

10 Nov 2026, 22:33 UTC338 views25 reactionsread 11 November 2026
Photo

Más de 2 mil miembros del chat, no opinan más que 15, y eso. El canal tiene casi 17 mil miembros y apenas hay reacciones Qué co* pasa, quiénes están en el canal, qué son??? Opina, discute, debate, comparte Así no somos más que humo (Adms Opal)

👏14🔥10🗿1

10 Nov 2026, 18:13 UTC524 views18 reactionsread 11 November 2026
Photo

🇸🇻🇺🇸🇭🇹 El Salvador acusa a diplomáticos de EEUU de difundir falsedades sobre su ofensiva antipandillas en Haití San Salvador rechazó las acusaciones de funcionarios estadounidenses según las cuales sus fuerzas no coordinaron las operaciones en Haití, pusieron en peligro a las tropas internacionales y alcanzaron con disparos la embajada de EEUU. El Gobierno de Bukele cuestionó la credibilidad del principal diplomáti…

🤬16❤1👏1

10 Nov 2026, 18:10 UTC411 views14 reactionsread 11 November 2026

🚗🚗 El oscuro origen de Volkswagen: el "coche del pueblo" de Hitler Hoy es un gigante global del automóvil y un icono de la ingeniería, pero los cimientos de Volkswagen se construyeron directamente bajo el régimen nazi. La historia del famoso "Escarabajo" tiene un lado que a menudo se pasa por alto. 🕵️‍♂️ 🔹 El encargo de Hitler: En 1934, Adolf Hitler encargó al ingeniero Ferdinand Porsche el diseño de un vehículo ba…

🤮14

10 Nov 2026, 18:07 UTC340 views23 reactionsread 11 November 2026
Video

🇺🇸🇻🇪⚡️ — El presidente Trump sobre Venezuela: "Tenemos el control absoluto. El pueblo venezolano nos quiere." Piropos y loas para los traidores

🤮18🤣3🤡2

10 Nov 2026, 18:03 UTC356 views28 reactionsread 11 November 2026
Video

🇺🇸🇨🇺⚡️ — El secretario de Estado de EE.UU., Marco Rubio, sobre Cuba: "En definitiva, nuestro objetivo es que Cuba tenga un futuro mejor. Vamos a hacer todo lo posible para ayudar a encaminarla hacia ese futuro, pero, al final, será necesario que ellos despierten y comprendan que no hay futuro en el camino que están siguiendo actualmente."

🖕17🤣7🤡3💩1

10 Nov 2026, 17:57 UTC304 views18 reactionsread 11 November 2026
Photo

🇺🇦 En Ucrania estalla un escándalo: militares ucranianos violaban a menores, que en respuesta envenenaron a 23 combatientes, y la culpa acabó siendo de Rusia La investigación de un envenenamiento masivo en las Fuerzas Armadas de Ucrania —donde murieron 23 combatientes— llevó a los investigadores ucranianos hasta un grupo de menores. Los militares acababan de algún modo en la cama de niñas pequeñas, la más joven de 1…

🤬17👌1

10 Nov 2026, 17:37 UTC331 views24 reactionsread 11 November 2026
Photo

Irán muestra su nueva ciudad de misiles, construida bajo tierra durante la guerra con EE.UU. El jefe del Estado Mayor de Irán y el comandante de las Fuerzas Aeroespaciales presentaron hoy una ciudad subterránea de misiles cuyos pasillos aparecen repletos de misiles balísticos y lanzaderas. Declaró que Irán renuncia a limitar voluntariamente el alcance de sus misiles. Hasta ahora, los iraníes consideraban que no nec…

❤14🔥5🤩2🫡2😱1

10 Nov 2026, 17:32 UTC288 views24 reactionsread 11 November 2026
Photo

☃️🇫🇷🇮🇷 El Ministerio de Asuntos Exteriores de Francia ha acusado al Cuerpo de la Guardia Revolucionaria Islámica (CGRI) de Irán de estar detrás de ciberataques contra cadenas de supermercados europeas que provocaron fallos en sus sistemas de refrigeración. Centenares de establecimientos en Francia se vieron afectados. Los hackers consiguieron acceder a los sistemas de refrigeración y activar el modo de descongelació…

🤡17🥰5❤1😁1

10 Nov 2026, 17:28 UTC302 views12 reactionsread 11 November 2026
Video

☄️🇨🇴🚨🇺🇦 Colombia alerta sobre los riesgos del mercenarismo en Ucrania Abelardo de la Espriella anunció que su Gobierno trabaja para fortalecer las capacidades de defensa frente a la amenaza que representa el uso de drones. Como telón de fondo, está la alerta por la participación de colombianos en el conflicto ucraniano. Además, hay denuncias sobre el entrenamiento de integrantes de grupos armados en el uso de esta …

🤣11😨1

Showing the 12 most recent of 724 posts we hold for @OPALpress. 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 ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 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.

Posts edited after publishing

@OPALpress edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
7 November 2026
Most recent edit
7 November 2026

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.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“OPAL 🇨🇱” (@OPALpress), 16,850 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/OPALpress.

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.