Feliz día de la Asunción. ¿Esto no les llegó a sus hijos y nietos y lo otro sí? ¿Hoy no se reúnen a mirar a ningún lado? Un aullido.
🙏55❤21❤🔥7👏5😁3🏆1🔥1🥴1

Channel
@elaullido
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
43,527subscribers
+165 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001442621801 |
|---|---|
| Type | Channel |
| Username | @elaullido |
| Created | 30 May 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/elaullido |
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 17:54 | 43,527 | -15 |
| 13 Aug 2026, 07:56 | 43,542 | +5 |
| 12 Aug 2026, 05:42 | 43,537 | +19 |
| 11 Aug 2026, 05:03 | 43,518 | +16 |
| 10 Aug 2026, 04:21 | 43,502 | +46 |
| 9 Aug 2026, 00:54 | 43,456 | +46 |
| 8 Aug 2026, 01:01 | 43,410 | +32 |
| 7 Aug 2026, 02:15 | 43,378 | +16 |
| 6 Aug 2026, 09:53 | 43,362 | first reading |
56 posts held, back to 29 July 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 22 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 56 (29 July 2026 – 15 August 2026) |
| Views total | 532,500 |
| Reactions total | 21,654 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 12:42 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.
Lifetime counters from Telegram’s own channel header, read 15 August 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.
Measured directly from 8 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.
21,654 reactions across 56 posts, in 35 distinct kinds. The most used accounts for 28.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 6,186 | 28.6% | |
| ❤ | 4,779 | 22.1% | |
| 💯 | 2,659 | 12.3% | |
| 🔥 | 1,770 | 8.17% | |
| 👌 | 1,687 | 7.79% | |
| 🤬 | 1,379 | 6.37% | |
| 😁 | 608 | 2.81% | |
| 🙏 | 588 | 2.72% | |
| 🏆 | 426 | 1.97% | |
| 🤔 | 303 | 1.40% | |
| 🤪 | 263 | 1.21% | |
| 🙉 | 262 | 1.21% | |
| 😡 | 118 | 0.545% | |
| 😱 | 84 | 0.388% | |
| 🫡 | 84 | 0.388% | |
| 🤝 | 66 | 0.305% | |
| 🤨 | 48 | 0.222% | |
| ❤🔥 | 44 | 0.203% | |
| 😢 | 44 | 0.203% | |
| 😎 | 35 | 0.162% | |
| 15 further kinds | 221 | 1.02% |
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 56 of the 56 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 21,654reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 29 July 2026 to 15 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @elaullido. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 56 most recent posts we hold for this entry, published 29 July 2026 to 15 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Feliz día de la Asunción. ¿Esto no les llegó a sus hijos y nietos y lo otro sí? ¿Hoy no se reúnen a mirar a ningún lado? Un aullido.
🙏55❤21❤🔥7👏5😁3🏆1🔥1🥴1
¿Recuerdan el relato fundacional de mi historia con las orcas en mi libro SPANIA? Allí cuento cuando pasó esto mismo hace 36 años en Barbate. ¿Quién lleva una escopeta de cartuchos de caza en un barco? Alguien disparó a Gladis, la matriarca del estrecho, que tiene unos 60 años. Me empieza a impresionar mucho la cantidad de cosas que digo en el libro y se están repitiendo AHORA. ¿Verdad que usted no había oído …
👏93👌13🏆12❤10🤔4🔥3🥰3❤🔥2
Photo, posted without a caption
❤76🤔21🏆13🥰5🫡2😁2🤪1
Durante los últimos doce meses, la superficie de la capa de hielo de Groenlandia ha ganado más de 500 mil millones de toneladas de nuevo hielo y nieve. En seis de los últimos nueve años, el aumento de hielo ha superado el promedio de 1981-2010, y este año podría terminar en el primer lugar. Están mintiendo descaradamente para dar sensación de cambio climático mostrando solo las zonas concretas que les interesan a su …
👏181❤27🔥19🏆12🤝1🤪1🫡1😢1
https://www.instagram.com/p/DcBZVSBjBXI/?img_index=3
❤28
¿Y si la historia más épica y apasionante jamás contada, la de un pacto ancestral entre delfines y hombres, hubiera ocurrido en la misma playa en la que te estás bañando ahora y no en costas lejanas? Quinta Edición y se sigue agotando en librerías. No olvide pedirlo en la del lugar donde esté veraneando, se la servirán enseguida. Las librerías ya no acumulan ejemplares como antaño, los van pidiendo según se agota…
🏆126❤72👏51🙏4🔥3😁1
Presumo de la amistad del gran Luis Gorrochategui, cuyos libros son fundamentales, búsquenlos, cómprenlos, y si los leen, ya para nota 🤠. Y de quien nos presentó en Santa Pola, el otro grande, Alberto Abascal, de Amigos de la Hispanidad. Y con lo antisocial que soy, y cada vez más, si les hablo bien de alguien, ya puede ser bueno, ya. Tengo con ellos el debate de si se debe decir “ELCANO” o “De Elcano”, yo he vist…
❤115🔥20👌7🙏2🏆1🤪1
Sin comentarios. A esto me refería. Esta merluza en salsa tendrá padres y abuelos que la quieran. Con este nivel intelectual está jugando el NOM. Y su voto vale igual que el de cualquiera. Ella misma dice “soy retrasada” y añade “no tengo autocontrol”. En fin. Tiene más de 98 mil seguidores en TikTok, y yo solo 27 mil; vamos a la extinción absoluta. Cuando me critiquen ustedes, piensen que en la humanidad hay que con…
🙉260🤪164🤬63😁32❤29😢27😱15🔥14
Apreciados aulladores: Impresionante, puéden ustedes leer los datos de cientos de personas que nos reportaron desde todo el Reino que ayer NO HUBO ESTELAS en ninguna parte. Me parece relevante. Todos los reportes son de cielos azules o de calimas blanquecinas y turbias. Llama la atención la cantidad de estas últimas descripciones. ¿Un patrón? Hay poca duda al respecto cuando nadie ha citado ni una sola estela. He mir…
👌267❤101💯27🤔20🤪4🤨3🙏3🔥2
Me escribe un aullador hace unos minutos: “Fernando, te doy una pequeña alegría. Es una gotita en el desierto, pero algo es algo: Estamos toda la familia de vacaciones en XXXX. Entre cuñados, cuñadas y niños, estamos en la casa 34 personas. En la comida todo el mundo hablando del “evento” de hoy… que si donde lo vemos que si no sé qué. Entre mi mujer, un cuñado y yo, hemos conseguido no solo que no lo vea nadie de l…
❤435👏159🙏92🔥12🤪10🌚6😁4🥰3
❌ Importante: Somos muchos, decenas de miles, me gustaría que hoy me reportaran ustedes como está el cielo en el lugar en el que estén. Me refiero a antes del “evento”. Me refiero a si hay estelas o no, si hay nubes, neblinas o cualquier cosa. A ver si sacamos algún patrón. Un aullido.
👌236❤32🫡18😐4🔥3🤪3🙏2🌚1
Adelante, todos a mirar directamente a Medusa. Avisados están. Madre mía. Creía que estábamos avanzando. Un aullido.
👏282😁50❤32😨11🙏11😱4😢3🙈3
Showing the 12 most recent of 56 posts we hold for @elaullido. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
@elaullido 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.
Citation-graph rank — 29,270 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Named by 5 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“EL AULLIDO CANAL Fernando López-Mirones” (@elaullido), 43,527 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/elaullido.
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.