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Channel

Los Periodistas

@AlvaroyAlejandro

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

21,548subscribers

-849 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001293569204
TypeChannel
Username@AlvaroyAlejandro
CreatedBetween 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 October 2026
Measurements held51
Confirmed unchanged1 time, most recently 27 October 2026
On Telegramt.me/AlvaroyAlejandro

Topic

National 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 99% 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 word for word on 1 other registered channel. 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
@sinembargomx/749025 Aug 2026, 19:49 UTC@AlvaroyAlejandro/11688 · this entry5 Aug 2026, 23:50 UTC1.004.0 hours
@sinembargomx/749126 Aug 2026, 02:05 UTC@AlvaroyAlejandro/11690 · this entry6 Aug 2026, 02:05 UTC1.00under a minute
@AlvaroyAlejandro/11700 · this entry7 Aug 2026, 00:00 UTC@sinembargomx/749467 Aug 2026, 00:07 UTC1.007 minutes
@sinembargomx/749517 Aug 2026, 02:04 UTC@AlvaroyAlejandro/11702 · this entry7 Aug 2026, 02:04 UTC1.00under a minute
@sinembargomx/749527 Aug 2026, 02:39 UTC@AlvaroyAlejandro/11703 · this entry7 Aug 2026, 03:10 UTC1.0031 minutes
@AlvaroyAlejandro/11706 · this entry7 Aug 2026, 15:14 UTC@sinembargomx/749767 Aug 2026, 17:10 UTC1.001.9 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@sinembargomx14 (8/8 hand-verifiable sample passed)1.0031 minutes@sinembargomx (8–6)

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. 6 of the 7 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 23 comparable posts for this entry, running 5 August 2026 to 8 August 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).

Across the whole group of 2, the earliest publisher we hold is @sinembargomx. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 8 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

21,54822,39721,972.57 August 2026 — 22,397 subscribers7 August 2026 — 22,397 subscribers8 August 2026 — 22,395 subscribers9 August 2026 — 22,380 subscribers10 August 2026 — 22,372 subscribers11 August 2026 — 22,362 subscribers12 August 2026 — 22,353 subscribers13 August 2026 — 22,351 subscribers15 August 2026 — 22,341 subscribers16 August 2026 — 22,316 subscribers17 August 2026 — 22,294 subscribers18 August 2026 — 22,286 subscribers19 August 2026 — 22,261 subscribers20 August 2026 — 22,241 subscribers22 August 2026 — 22,232 subscribers23 August 2026 — 22,210 subscribers25 August 2026 — 22,191 subscribers26 August 2026 — 22,177 subscribers27 August 2026 — 22,163 subscribers28 August 2026 — 22,154 subscribers29 August 2026 — 22,145 subscribers30 August 2026 — 22,135 subscribers30 August 2026 — 22,128 subscribers31 August 2026 — 22,105 subscribers1 September 2026 — 22,093 subscribers2 September 2026 — 22,082 subscribers3 September 2026 — 22,072 subscribers6 September 2026 — 22,038 subscribers9 September 2026 — 22,013 subscribers11 September 2026 — 21,989 subscribers13 September 2026 — 21,963 subscribers15 September 2026 — 21,951 subscribers17 September 2026 — 21,927 subscribers26 September 2026 — 21,843 subscribers4 October 2026 — 21,734 subscribers9 October 2026 — 21,685 subscribers13 October 2026 — 21,679 subscribers14 October 2026 — 21,663 subscribers15 October 2026 — 21,658 subscribers16 October 2026 — 21,651 subscribers17 October 2026 — 21,643 subscribers18 October 2026 — 21,632 subscribers19 October 2026 — 21,624 subscribers20 October 2026 — 21,615 subscribers21 October 2026 — 21,598 subscribers22 October 2026 — 21,586 subscribers23 October 2026 — 21,574 subscribers24 October 2026 — 21,573 subscribers25 October 2026 — 21,564 subscribers26 October 2026 — 21,556 subscribers27 October 2026 — 21,548 subscribers7 August 202627 October 2026
51 measurements spanning 81 days, net -849. 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 21,421–22,524 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 51
Measured (UTC)SubscribersChange
27 Oct 2026, 19:1721,548-8
26 Oct 2026, 20:0721,556-8
25 Oct 2026, 17:0721,564-9
24 Oct 2026, 19:3021,573-1
23 Oct 2026, 22:1721,574-12
22 Oct 2026, 21:5721,586-12
21 Oct 2026, 18:3921,598-17
20 Oct 2026, 14:4521,615-9
19 Oct 2026, 16:5721,624-8
18 Oct 2026, 14:5621,632-11
17 Oct 2026, 18:2621,643-8
16 Oct 2026, 15:4421,651-7
15 Oct 2026, 13:5121,658-5
14 Oct 2026, 17:2621,663-16
13 Oct 2026, 05:2821,679-6
9 Oct 2026, 01:1821,685-49
4 Oct 2026, 15:5521,734-109
26 Sept 2026, 14:3821,843-84
17 Sept 2026, 09:4021,927-24
15 Sept 2026, 05:5621,951first reading

Engagement

349 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 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.23%
avg views ÷ 21,548 subscribers
Avg views / post
1,130
66 posts measured
Reaction rate
5.15%
reactions ÷ views · ER floor
Posts in window
66
of 349 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 October 2026
Posts held349 (5 August 2026 – 12 October 2026)
Views total74,317
Reactions total3,828
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 10:57 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

Video runtime
57m 44s
Average length
57s

Measured directly from 61 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

20,685 reactions across 349 posts, in 44 distinct kinds. The most used accounts for 44.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍9,21744.6%
🤬2,31911.2%
💩1,9299.33%
❤1,0955.29%
🤮9454.57%
👏8844.27%
😡7483.62%
🤡4832.34%
🤔4392.12%
👎3671.77%
🤣3511.70%
🔥3131.51%
😱3121.51%
😁2411.17%
😢2411.17%
🖕1560.754%
💯820.396%
🤨710.343%
🥴680.329%
🤪590.285%
24 further kinds3651.76%

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 349 of the 349 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 20,685 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 349 most recent posts we hold, published 5 August 2026 to 12 October 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

12 Oct 2026, 07:12 UTC112 views5 reactionsread 12 October 2026
Photo

💻 A los centros de datos no les falta luz o agua de Querétaro. A los que viven allí, sí Comunidades de Querétaro, núcleo de los centros de datos, reportan apagones ante la demanda de infraestructura eléctrica para almacenar nuestra vida digital. https://www.sinembargo.mx/4872633/a-los-centros-de-datos-no-les-falta-luz-o-agua-de-queretaro-a-los-que-viven-alli-si/

👏4👎1

12 Oct 2026, 02:53 UTC387 views37 reactionsread 12 October 2026
Forwarded from @sinembargomxVideo

‼️Alfaro en España mientras Guadalajara recibe agua negra En 2024, Enrique Alfaro prometió agua para 50 años. Hoy, mientras ejerce como directivo del Real Valladolid en España, la Zona Metropolitana enfrenta una grave emergencia hídrica por el rechazo histórico a construir el 2° acueducto de Chapala. 📌 LOS DATOS DE LA CRISIS: • Promesa rota: Alfaro canceló el proyecto del acueducto por años; hoy Lemus y la Federac…

🤬29💩8

11 Oct 2026, 23:11 UTC792 views52 reactionsread 12 October 2026
Photo

❗ Miles piden agua limpia en Jalisco y Lemus la usa para reprimirlos ¬ VIDEOS y FOTOS Los ciudadanos expresaron su inconformidad con la mala calidad del agua que reciben en sus hogares, la cual describieron como turbia https://www.sinembargo.mx/4885657/fuera-lemus-miles-llenan-calles-de-guadalajara-para-exigir-agua-limpia-fotos/

🤬46👍6

11 Oct 2026, 21:41 UTC798 views37 reactionsread 12 October 2026

❗ CSP pide a la costa Pacífico ponerse en resguardo: "Simón" pegará en horas ¬ EN VIVO La Presidenta de México hizo un llamado a la población a que permanezcan atentos, principalmente a las recomendaciones de Protección Civil. https://www.sinembargo.mx/4885479/simon-se-acerca-a-costas-de-jalisco-y-colima-lluvias-golpearan-5-estados-en-vivo/

👍30😱6🙏1

11 Oct 2026, 15:41 UTC983 views24 reactionsread 12 October 2026

¡Recuerden que SinEmbargo está en WhatsApp! https://whatsapp.com/channel/0029VaLvFthKwqSc5ytQwQ0H

👍21😁3

11 Oct 2026, 06:35 UTC≈1,090 views59 reactionsread 12 October 2026
Photo

Han pasado 17 años, y los viejos trabajadores de Luz y Fuerza no perdonan a Calderón Extrabajadores piden a la Presidenta Claudia Sheinbaum que sean incorporados al sector eléctrico nacional. Acusan que el sindicato está secuestrado por Martín Esparza. https://www.sinembargo.mx/4839564/han-pasado-17-anos-y-los-viejos-trabajadores-de-luz-y-fuerza-no-perdonan-a-calderon/

👍49❤4😭4😁2

11 Oct 2026, 04:40 UTC≈1,030 views48 reactionsread 12 October 2026
Photo

🇧🇷Lula y Bolsonaro están parejos. Pero la ultraderecha ya tuvo su mejor voto desde 1985 En los últimos 18 meses, la derecha de América Latina ha ganado siete elecciones presidenciales, es decir, todas. Y ahora la mayor economía regional podría caer en algo más allá que la derecha: la ultraderecha religiosa, muy cercana al fascismo estadounidense.https://www.sinembargo.mx/4885174/lula-y-bolsonaro-estan-parejos-pero-l…

🤔28😱9🤮8👍2❤1

11 Oct 2026, 03:43 UTC≈1,010 views41 reactionsread 12 October 2026
Photo

🇺🇲Cuatro de 10 Latinos en EU empeoraron su situación económica en sólo un año: encuesta El principal problema es el costo de vida. El 41 por ciento lo coloca como su mayor preocupación económica, por encima de empleos y salarios, vivienda y atención médica. https://www.sinembargo.mx/4883469/cuatro-de-10-latinos-en-eu-empeoraron-su-situacion-economica-en-solo-un-ano-encuesta/

👍20🤣9😱9🤡2🔥1

10 Oct 2026, 22:50 UTC≈1,110 views47 reactionsread 12 October 2026
Photo

🎣 La tragedia en la pesca de callo de hacha ⚠️ 32 buzos muertos: Investigación revela el costo humano de la pesca clandestina de callo de hacha. ⏳ Ganancias vs. vida: Jornadas al límite y cooperativas bajo presión por ingresos de $19 mil semanales. 👥 Omisión oficial: Hombres que murieron sumergidos en la clandestinidad y el olvido estatal. 📲 Lee la investigación completa aquí: https://www.sinembargo.mx/4884661/…

👍27😢16❤2💯1🥱1

10 Oct 2026, 18:51 UTC982 views49 reactionsread 12 October 2026
Forwarded from @sinembargomxPhoto

‼️#URGENTE ¬ "Simón" golpeará Jalisco como categoría 5; CNPC suspende la movilidad en 4 estados También permanece una zona de prevención por vientos de huracán desde Punta San Telmo, Michoacán, hasta Punta Mita, Nayarit. https://www.sinembargo.mx/4885119/huracan-simon-se-intensifica-a-categoria-4-frente-a-las-costas-de-colima-y-jalisco/

😱34🙏7😨4🤯3👀1

10 Oct 2026, 04:20 UTC≈1,310 views62 reactionsread 12 October 2026
Photo

😊 Washington me robó la elección. Pasó en Honduras y puede pasar en México ¬ ENTREVISTA Rixi Moncada acusó a Donald Trump de intervenir en las elecciones hondureñas y denunció una operación mafiosa para impedir el triunfo de la izquierda. https://www.sinembargo.mx/4884690/washington-me-robo-la-eleccion-paso-en-honduras-y-puede-pasar-en-mexico-entrevista/

😢25🤬23👍11😡2❤1

10 Oct 2026, 02:50 UTC≈1,280 views62 reactionsread 12 October 2026
Photo

☝️Ucrania se volvió “escuela de sicarios”: clases de drones, explosivos, guerra digital El Gobierno de México investiga si integrantes del crimen organizado combaten en la guerra de Ucrania para adquirir experiencia y que esos conocimientos sirvan al narcotráfico. https://www.sinembargo.mx/4884634/ucrania-se-volvio-escuela-de-sicarios-clases-de-drones-explosivos-guerra-digital/

🤬42💩10😡6👎2🔥2

Showing the 12 most recent of 349 posts we hold for @AlvaroyAlejandro. 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

@AlvaroyAlejandro edited 2 posts 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
8 August 2026
Most recent edit
8 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#54
TASS - Agencia rusa de noticias
@tass_es · 36,573
#55
El Poder del Consumidor
@elpoderdelconsumidor · 1,238
#56
Diarios Oficial de la Federación (DOF) 🇲🇽
@DOFOficial · 2,200
#57
Los Sombreros Blancos [Z] 🇷🇺
@ophiucu · 32,837
#58
Ucraniando
@ucraniando · 37,423
#59
Congreso de la Ciudad de México
@CongresoCiudadDeMexico · 712 (as read 22 September 2026)
#60
Semión Sénderov
@Senderov_RT · 6,578
#61
InfoDefenseESPAÑOL
@infodefSPAIN · 30,604
#62
A Toda Potencia | Irán - Israel | Ucrania - Rusia
@atodapotencia · 43,065
#63
Exosapiens
@exosapiens · 2,141
#64
ROKOT | TORMENTA
@surf_noise_sp · 21,975
#65
Embajada de Rusia en Mexico
@embrusiamexico · 15,524
#66
Senado Mexicano
@senadomexicano · 2,658
#67
Guerras y Geopolíticas 🚀🔥
@guerrasygeo · 82,669
#68
El ladrido [perros, mascotas, dogs, puppies]
@ladrido · 8,251
#69
GEOPOLITIK DE CARLOS AGUIAR
@CarlosAJimnez4 · 947 (as read 22 September 2026)
#70
SASSLA
@sassla · 98,274
#71
Canal Red
@CanalRed_TV · 16,382
#72
Antonio Villamil MX
@AntonioVillamilMx · 5,439
#73
Mártir Ayatolá Jameneí
@khamenei_es · 10,969
#74
Cancillería de Rusia
@MAERusia · 13,432
#75
DW noticias en Español
@DWnoticiasenEsp · 18,821 (as read 22 September 2026)
#76
tech lado - IA, ChatGPT, tecnología, robots
@techladotech · 30,052
#77
Victor Ternovsky
@victorternovsky · 24,575
#78
NUEVO ORDEN MUNDIAL
@nuevo_orden_mundial_canal · 23,675
#79
Liu Sivaya
@liusivaya · 127,469
#80
Gerardo Fernández Noroña
@gfnorona · 1,985
#81
PALESTINA HOY 🇵🇸
@PalestinaHoy · 64,829
#82
Simon Levy
@simonlevymx · 20,612
#83
Programas para el Bienestar
@programasparaelbienestar · 14,866
#84
Tips de Telegram
@TelegramTipsES · 1,462,831
#85

Read from Telegram’s recommendation API, most recently 22 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Andrés Manuel López Obrador
@PresidenteAMLO · 48,357
Telegram ranks this channel #3 of 87 here — alongside 86 others — read 25 August 2026
Simon Levy
@simonlevymx · 20,612
Telegram ranks this channel #13 of 82 here — alongside 81 others — read 25 September 2026
Alfredo Jalife
@AJalife · 35,143
Telegram ranks this channel #43 of 82 here — alongside 81 others — read 2 September 2026
SASSLA
@sassla · 98,274
Telegram ranks this channel #46 of 70 here — alongside 69 others — read 15 August 2026
López-Dóriga Digital
@LopezDorigaCom · 18,807
Telegram ranks this channel #55 of 87 here — alongside 86 others — read 4 October 2026
Inna Afinogenova
@inafinogenova · 74,478
Telegram ranks this channel #65 of 86 here — alongside 85 others — read 19 August 2026

This channel appears in 6 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 27 October 2026 — this entry's latest reading, not the date you are reading this.

“Los Periodistas” (@AlvaroyAlejandro), 21,548 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/AlvaroyAlejandro.

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.