Telegram RegisterThe public register of Telegram

Channel

Partido Pirata de Chile

@PartidoPiratadeChile

On this record: Previous handles · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

262subscribers

-1 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001058632389
TypeChannel
Username@PartidoPiratadeChile
Created14 May 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/PartidoPiratadeChile

Previous handles

Recorded in 2019 as “☠Partido Pirata de Chile☠ — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Growth

262263262.55 August 2026 — 263 subscribers7 August 2026 — 263 subscribers13 August 2026 — 262 subscribers5 August 202613 August 2026
3 measurements spanning 7 days, net -1. 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 262–263 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 04:04262-1
7 Aug 2026, 00:33263no change
5 Aug 2026, 23:11263first reading

Engagement

20 posts held, back to 4 June 2026the 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
31.5%
avg views ÷ 262 subscribers
Avg views / post
82.5
4 posts measured
Reaction rate
3.05%
reactions ÷ views · ER floor
Posts in window
4
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. It is computed over the 2 of 4 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 21 July 2026
Posts held20 (4 June 202621 July 2026)
Views total330
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 00:33 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.

Reaction mix

22 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 27.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
627.3%
👏522.7%
👍313.6%
🔥313.6%
👌29.09%
🤯29.09%
🤬14.55%

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 11 of the 20 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 4 June 2026 to 21 July 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

21 Jul 2026, 16:03 UTC68 views1 reactionsread 7 August 2026
Forwarded from @SpanishRevolutionVideo

La Casa Blanca prepara el aparato antiterrorista para perseguir eso que Trump llama “terrorismo de izquierdas”: antifascistas, activistas y cualquiera que desafíe su proyecto político. Ya ni siquiera disimulan. No están protegiendo la democracia: están construyendo las herramientas para criminalizar la disidencia.

🤬1

Signed Pamielina

20 Jul 2026, 13:38 UTC63 views3 reactionsread 7 August 2026
Forwarded from @PiratasORGPhoto

En el pasado, en el presente y en el futuro: siempre: antifascistas!!!! 💪💪💪💪💪

3

Signed Pamielina

17 Jul 2026, 01:37 UTC98 viewsread 7 August 2026
Video

📺 0,99 niños: la crisis de natalidad en Chile *Lo Que Importa T03E19 · Daniel Matamala* 🎙 María José Naudón + Alejandra Abufele --- ## 📊 El dato que remece Chile rompió un récord: 0,99 hijos por mujer Para mantener la población se necesita 2,1 | Hace 20 años | Hoy | |-------------|-----| | 275.000 nacimientos | 146.000 | | 7% madres migrantes | 20% | En la mitad de las comunas chilenas ya mueren más personas de

Signed JIND El Piojoso

15 Jul 2026, 02:56 UTC87 views2 reactionsread 7 August 2026
Photo

Este sábado 18 de Julio parte el taller "Privacidad Móvil", en este taller veremos las principales vulnerabilidades y amenazas a los sistemas de telefonía celular Android. Te invitamos este encuentro para que podamos aprender y conversar sobre seguridad y privacidad en el contexto de telefonía móvil. Fechas del taller: Sábado 18 de julio Sábado 1 de Agosto Sábado 8 de Agosto Sábado 22 de Agosto Desde las 16 horas e

🔥2

Signed JIND El Piojoso

14 Jul 2026, 07:28 UTC84 views4 reactionsread 7 August 2026

# De las abejas a los robots: el nuevo poder de la inteligencia colectiva > DW Documental · 51 min · 1 de julio de 2026 --- ## Resumen Ejecutivo El documental explora la inteligencia colectiva como paradigma emergente que está transformando nuestra comprensión del comportamiento grupal —desde enjambres de abejas hasta fábricas inteligentes— y su potencial para resolver algunos de los problemas más complejos de l

👏31

Signed JIND El Piojoso

14 Jul 2026, 07:27 UTC66 views2 reactionsread 7 August 2026
Video

El documental "De las abejas a los robots: el nuevo poder de la inteligencia colectiva" — DW Documental, 51 min, julio 2026. Un recorrido por los principales centros de investigación europeos sobre inteligencia colectiva: desde hormigas en realidad virtual en Constanza, pasando por abejas monitoreadas por robots con IA en Graz, hasta fábricas de semiconductores que triplican su rendimiento con algoritmos de enjambre

👌2

Signed JIND El Piojoso

12 Jul 2026, 18:27 UTC78 views2 reactionsread 7 August 2026
Video

Interesante exposición del campo de batalla en la burbuja de IA , China bajo el paradigma del software y el conocimiento libre VS bigtech de EEUU , un frente más de la disputa y enfrentamiento de dos paradigmas.

👍2

Signed JIND El Piojoso

10 Jul 2026, 23:43 UTC96 viewsread 7 August 2026
Video

Mi antropóloga de confianza explicando que es una cooperativa

Signed JIND El Piojoso

10 Jul 2026, 05:39 UTC94 viewsread 7 August 2026
Video

"A mi ciudad" es el más poderoso retrato del Santiago de los primeros años de dictadura. Hoy la cantamos y tristemente sigue vigente. Hermosa jornada con Luchito Le-Bert que grabamos el 8 de noviembre del 2019 por el parque Bustamente en una toma única entre balazos y esperanzas. Realización: Leonardo Toro Sonido: Francisco Cortés Picazo

Signed JIND El Piojoso

10 Jul 2026, 03:45 UTC228 views2 reactionsread 7 August 2026
Video

El caso de Rodrigo Rojas de Negri tiene dos fechas clave: · Ataque (quemado vivo): 2 de julio de 1986. Ocurrió en Santiago durante una protesta contra la dictadura de Pinochet. Tenía 19 años y fue rociado con combustible y encendido por una patrulla militar. · Fallecimiento: 6 de julio de 1986. Murió cuatro días después a causa de las quemaduras. El caso, conocido como "Caso Quemados", lo sufrió junto a Carmen Glor

2

Signed JIND El Piojoso

6 Jul 2026, 09:45 UTC136 viewsread 7 August 2026
Video

📺 Aplicaciones peligrosas — En la red de los comerciantes de datos 🎬 DW Documental (51 min) | 1080p Lo que muchos usuarios de celulares saben: las aplicaciones móviles recolectan datos de ubicación detallados. Lo que pocos saben: a menudo terminan en una red mundial de comerciantes de datos y agencias publicitarias. Este reportaje revela cómo aplicaciones aparentemente inofensivas exponen desde lugares de residenci

Signed JIND El Piojoso

Showing the 12 most recent of 20 posts we hold for @PartidoPiratadeChile. 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 — 1,308,577 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

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Partido Pirata de Chile” (@PartidoPiratadeChile), 262 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/PartidoPiratadeChile.

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.