Channel
@maldita_es
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
4,039subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001076576037 |
|---|---|
| Type | Channel |
| Username | @maldita_es |
| Created | 31 March 2017 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 18 August 2026 |
| On Telegram | t.me/maldita_es |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Aug 2026, 07:05 | 4,039 | -3 |
| 15 Aug 2026, 15:27 | 4,042 | -2 |
| 12 Aug 2026, 07:34 | 4,044 | +3 |
| 9 Aug 2026, 09:53 | 4,041 | +2 |
| 6 Aug 2026, 11:10 | 4,039 | +1 |
| 6 Aug 2026, 04:19 | 4,038 | no change |
| 6 Aug 2026, 01:36 | 4,038 | first reading |
21 posts held, back to 11 June 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 4 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 6 August 2026 |
|---|---|
| Posts held | 21 (11 June 2026 – 6 August 2026) |
| Views total | 8,471 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:42 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.
Measured directly from 7 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.
Cada vez hay más mensajes que solo buscan llamar tu atención o engañarte. Por suerte, en la web de Level Up tenemos muchos materiales para evitar que te la cuelen. ¡Entra en levelup.fundacionmaldita.es, descárgate los contenidos y reenvía a tus contactos!
🚨 En la noche del 30 al 31 de julio, miles de personas cruzaron la frontera desde Marruecos a Ceuta, algunos lo hicieron a través del espigón del Tarajal; otros, abriendo la valla que separa la ciudad autónoma con Castillejos (Fnideq). Días después, en Maldita.es entramos en cuatro grupos de WhatsApp, diez grupos de Facebook, e identificado más de 50 cuentas en Instagram en los que se habla de que van a cruzar desde …
📱 Un monje que comparte “sabiduría antigua aplicada a la vida actual” en Instagram asegura (sin evidencia científica) que beber caldo de huesos garantiza unas piernas “fuertes y sin dolor” pasados los 70 años. El vídeo, que ha conseguido más de un millón de visualizaciones en poco más de una semana, es solo un ejemplo de los casi 400 contenidos generados con inteligencia artificial (IA) publicados por Yan Chen (así d…
👉Los falsos médicos de YouTube: más de 1.000 canales hechos con IA y cómo la plataforma permite casi 100.000 vídeos en 30 idiomas bit.ly/4w03THe
🔐 ¿Has recibido alguna vez un mensaje “urgente” pidiéndote datos personales? Puede ser un intento de estafa. 🚨 Los mensajes que te meten prisa, tienen faltas de ortografía o incluyen enlaces extraños son señales de alerta. 📌 En esta infografía te damos algunos consejos para detectarlos y proteger tu información. 💻 Este material forma parte de LEVEL UP, un proyecto con recursos gratuitos y prácticos para mejorar nue…
🎮 ¿Sabes identificar la desinformación? ¡Ponte a prueba! VERI es un juego que ayuda a reconocer bulos y timos a través de retos y situaciones inspiradas en la vida cotidiana. ▶️ 📱 En este vídeo te mostramos cómo funciona. 🕹️ 🎲 Entra y juega aquí: https://lnkd.in/emn7j32A 👉 Si trabajas con personas mayores, impartes formación, investigas sobre alfabetización mediática o desarrollas proyectos educativos, te invitamos …
🔎 𝗔𝗵𝗼𝗿𝗮 𝗲𝘀 𝗺𝗮́𝘀 𝗳𝗮́𝗰𝗶𝗹 𝗽𝗹𝗮𝗻𝘁𝗮𝗿𝗹𝗲 𝗹𝗮 𝗰𝗮𝗿𝗮 𝗮 𝗹𝗮 𝗱𝗲𝘀𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝗰𝗶𝗼́𝗻. Estrenamos casa para la comunidad de Maldita.es En estos tiempos, detrás de cada bulo hay una estrategia coordinada para confundirte, dividirnos como sociedad y destruir la confianza y la cohesión social. Para combatirla, queremos reforzarnos junto a ti: 𝗵𝗲𝗺𝗼𝘀 𝗿𝗲𝗻𝗼𝘃𝗮𝗱𝗼 𝘁𝘂 𝗰𝗮𝘀𝗮 𝗲𝗻 𝗠𝗮𝗹𝗱𝗶𝘁𝗮.𝗲𝘀 𝗽𝗮𝗿𝗮 𝗳𝗮𝗰𝗶𝗹𝗶𝘁𝗮𝗿𝘁𝗲 𝘀𝘂𝗺𝗮𝗿𝘁𝗲 𝗮 𝗲𝘀𝘁𝗮 𝗹𝘂𝗰𝗵𝗮. Visita nuestra nueva we
¿En qué puedes fijarte para identificar contenidos generados con inteligencia artificial? 🧐 Aquí te dejamos 5️⃣ claves que pueden ayudarte a detectar señales de alerta. ➡️ Si quieres acceder a más recursos, entra al curso gratuito en mild.fundacionmaldita.es/es con herramientas para identificar y combatir la desinformación sobre migración.
¿Qué podemos hacer para no caer en la desinformación? A veces basta con detenerse unos segundos y hacerse las preguntas adecuadas. 🔎 En esta infografía compartimos cinco preguntas que pueden ayudarte a analizar cualquier contenido antes de creerlo o compartirlo. 💻 En la web del proyecto LEVEL UP encontrarás más recursos gratuitos dirigidos a personas mayores, además de un juego interactivo para poner a prueba tus…
⚠️ Cuidado con estos vídeos en los que mujeres con hiyab aseguran que volverán a su país si gana un determinado partido político porque "no les gusta trabajar". ❌ Son FALSOS. Han sido generados con inteligencia artificial para desinformar. 🔎 En mild.fundacionmaldita.es/es/ te dejamos más herramientas para identificar los bulos y desinformaciones.
En Fundación Maldita.es lideramos "Grok, is this true?", un proyecto de investigación junto a la Universidad de Jaén para documentar y estudiar casos reales en los que Grok haya sido utilizado para verificar contenidos virales relacionados con temas de actualidad, identificando patrones, alucinaciones y posibles fallos. El proyecto ha sido uno de los 25 seleccionados por la Journalism Science Alliance entre más de …
👀 POV: Quedan pocos días para que termine el plazo de solicitud de la regularización extraordinaria de personas migrantes y sigues viendo desinformaciones circulando. Guárdate esta infografía para compartir información verificada. Entra en mild.fundacionmaldita.es y descubre más recursos sobre cómo detectar desinformaciones que afectan a personas migrantes.
Showing the 12 most recent of 21 posts we hold for @maldita_es. 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.
Citation-graph rank — 1,082,834 of 1,550,220entries 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.
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 1 registered channel — 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.
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 18 August 2026 — this entry's latest reading, not the date you are reading this.
“MALDITA.ES” (@maldita_es), 4,039 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/maldita_es.
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.