🔐 La ciberseguridad es una necesidad de todos los días En las últimas semanas, vimos como los casos de phishing y vishing afectaron incluso a referentes políticos. Las técnicas de hackeo y estafas virtuales son cada vez más sofisticadas y juegan con nuestra atención. En nuestro curso gratuito de seguridad digital, te damos herramientas de protección y tips para que para que puedas detectar mensajes sospechosos y na…

Channel
ONG TEDIC
@tedicpy
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
285subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001069649967 |
|---|---|
| Type | Channel |
| Username | @tedicpy |
| Description | Somos una ONG que desarrolla tecnología cívica abierta y defiende los derechos digitales en favor de una cultura libre en Internet 💻📱📡😀 |
| Created | Between 1 April 2016 and 30 April 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/tedicpy |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 23:17 | 285 | no change |
| 6 Aug 2026, 16:58 | 285 | first reading |
Engagement
20 posts held, back to 27 May 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 21.0%
- avg views ÷ 285 subscribers
- Avg views / post
- 59.9
- 7 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 7
- of 20 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (27 May 2026 – 6 August 2026) |
| Views total | 419 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 23:17 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
- ≈1,180
- Videos
- ≈201
- Links
- ≈752
Lifetime counters from Telegram’s own channel header, read 6 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.
Recent posts
¡Ciudad del Este! Nos estamos preparando. 🙋♀️ 🙌🏻 La Biblioteca Municipal de CDE será el escenario para encontrarnos y construir en colectivo. Desde este jueves hasta el martes 11/08 podés recorrer la muestra ¿Dónde están las mujeres?, exposición que evidencia la falta de representación femenina en espacios de decisión y poder. Y en el mismo espacio, el sábado 8 de agosto nos encontramos en la minga feminista con l…
Mientras a nivel global se retrocede en derechos, en Paraguay nos siguen excluyendo de los espacios donde se decide todo. Desde 2017 registramos cada All Male Panel para visibilizar esta ausencia. 📲 Hoy la tarea sigue. Si ves un panel, webinar o foro 100% masculino hacé captura de pantalla, copiá el enlace y envianos por mensaje privado o al WhatsApp (0992) 265-790. 💻 Encontrá todos los datos de este proyecto en: h…
Para este Día de la Amistad, recordemos algo clave: pedir contraseñas, difundir tus fotos sin permiso o rastrearte no es afecto, es invasión a tu privacidad. 🚩 ☝🏻Si querés identificar estas situaciones y saber cómo reaccionar, te invitamos a nuestro curso gratuito: https://libresysegures.tedic.org/es/curso/ Nos adelantamos y les deseamos un Feliz Día de la Amistad, siempre con límites y consentimiento con los vínc…
Nos interesa tu experiencia. 🫵🏼 Si usás plataformas para trasladarte, pedir comida o contratar servicios, o sos prestador/a de servicios o freelancer en Paraguay, te invitamos a completar nuestra encuesta. 👉🏽 Respondé en este enlace: https://forms.office.com/pages/responsepage.aspx?id=-tn1Xz_4wUqk0utI6goA0u8BeAekxoNHlAoUzoFwl0RUNVdSTDVHV0JJMEMyQ1ZSM1lDNFpVVjVJWS4u&route=shorturl 🔒 La participación es anónima y con…
¿Te expusieron en Internet a vos o alguna conocida con imágenes íntimas no consentidas o fueron generadas con IA? 🙅🏽♀️ En nuestra web Cyborg, te contamos más sobre Stopncii.org y takeitdown.ncmec.org , dos herramientas que pueden ayudarte a retirar y eliminar las fotos de las webs y redes sociales. ☝🏽 Más info en: https://cyborgfeminista.tedic.org/sexting-como-derecho-y-stopncii-org-como-herramienta/ Forma parte …
El Mundial de la FIFA está a punto de culminar, pero hay una conversación que debe seguir en juego. 🤔 Entre cábalas y pronósticos durante el último partido de Paraguay en la competencia, abrimos una conversación con los hinchas que va más allá de los 90 minutos sobre el uso del reconocimiento facial en estadios. 👁️ 🏟️ 👉 Recordá que podés encontrar la investigación completa en este enlace: https://www.tedic.org/lanz…
La IA ya no solo crea imágenes, está cambiando nuestra forma de entender la verdad, la memoria y lo real. 🧐 Vivimos rodeados de contenido hiperrealista que muchas veces parece más verdadero que la propia realidad. ¿Qué pasa cuando ya no podemos confiar ni en lo que vemos? Una reflexión urgente sobre inteligencia artificial, desinformación y el colapso de nuestra relación con la verdad. 👩🏻💻 Compartimos el artículo…
Con mucho orgullo, compartimos el reconocimiento a nuestra directora y cofundadora de TEDIC, Maricarmen Sequera Buzarquis, incluida en la prestigiosa lista Tech Diplomacy Global 50® 2026. 🌍 De esta forma, el orgullo nacional se traslada hoy a una cancha distinta en el ámbito de derechos humanos digitales y políticas tecnológicas responsables. 🇵🇾 👩🏻💻 Leé la info completa en nuestro blog: https://www.tedic.org/una-v…
🤖 El auge del lenguaje muerto Con la premisa de optimización, la inteligencia artificial (IA) se está instalando como una opción para la generación de contenidos. Los resultados arrojan materiales con fluidez, sin embargo ¿sentís que los textos de estas herramientas suenan genéricos y vacíos? En un nuevo artículo, por Araceli Ramírez, exploramos como la IA generativa abre paso a los negro-logos: un lenguaje plano, …
📌 Para lograr transparencia y rendición de cuentas en el uso del reconocimiento facial en Paraguay presentamos, junto a Electronic Frontier Foundation (EFF) y el Centro por la Justicia y el Derecho Internacional (CEJIL), una petición ante la Comisión Interamericana de Derechos Humanos contra el Estado por denegar el acceso a la información sobre la implementación y el uso de esta tecnología como herramienta de vigila…
Las selecciones avanzan en el Mundial de la FIFA... y la vigilancia biométrica se abre terreno en el mundo. 🏟📹 Las miradas están en la fiesta del fútbol, mientras estadios en la región fortalecen sus infraestructuras de control y reconocimiento facial. ✍️ Con Antonia Bogado profundizamos en cómo vivir bajo monitoreo constante tiene riesgos reales para nuestros derechos humanos. ¿Nuestra privacidad es la moneda de …
Showing the 12 most recent of 20 posts we hold for @tedicpy. 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
Citation-graph rank — 1,124,658 of 1,350,102entries 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.
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 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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“ONG TEDIC” (@tedicpy), 285 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/tedicpy.
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.