Telegram RegisterThe public register of Telegram

Channel

Andrea Zhok

@andreazhok

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry

11,604subscribers

+33 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001534313638
TypeChannel
Username@andreazhok
Created15 August 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/andreazhok

Topic

Politics & activism — 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 97% 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 why it has no browse page of its own yet.

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. They sit inside a group of 3 channels that share the same post bodies with each other. 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 (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@andreazhok/875 · this entry14 Jul 2026, 15:57 UTC@donemanuele_incammino/194915 Jul 2026, 09:35 UTC1.0018 hours
@andreazhok/876 · this entry14 Jul 2026, 15:57 UTC@donemanuele_incammino/195015 Jul 2026, 09:36 UTC1.0018 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@donemanuele_incammino6 (6/6 hand-verifiable sample passed)1.0018 hoursthis entry (60)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 12 July 2026 to 7 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 3, the earliest publisher we hold is @andreazhok — which is this entry. That is a statement about our reading window, not a claim of authorship.

Views per post sit far above this size band

9,190 average views per post against 11,604 subscribers — an engagement rate of 79.2%. Across the 359 registered channels in the same cohort — 10,005–31,586 subscribers, posting mainly in Italian — the middle half sit between 4.94% and 21.1%, with a median of 11.6%.

What this was computed from
Window30 days (13 July 2026 12 August 2026)
Posts measured24 of 24 published in the window (0 exact, 24 rounded by Telegram)
Views totalled220,640
Mature posts only81.0% over 23 posts read at least 24h after publication
Subscribers11,604 measured 12 August 2026
Cohortb10000:ita · 359 channels · p10 2.19% · p25 4.94% · p50 11.6% · p75 21.1% · p90 31.6%
Position in cohort99.721th percentile · 6.8× the cohort median
Uncertainty±0.252% of the figure, from Telegram’s rounding
Post languageItalian · 100.0%of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_source · err_high, last confirmed 12 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 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.

Growth

11,57111,60411,587.56 August 2026 — 11,571 subscribers6 August 2026 — 11,573 subscribers7 August 2026 — 11,576 subscribers8 August 2026 — 11,588 subscribers9 August 2026 — 11,598 subscribers10 August 2026 — 11,597 subscribers11 August 2026 — 11,598 subscribers12 August 2026 — 11,604 subscribers6 August 202612 August 2026
8 measurements spanning 7 days, net +33. 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 11,566–11,609 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:4311,604+6
11 Aug 2026, 14:2111,598+1
10 Aug 2026, 15:3411,597-1
9 Aug 2026, 17:4211,598+10
8 Aug 2026, 14:4011,588+12
7 Aug 2026, 15:3411,576+3
6 Aug 2026, 12:4011,573+2
6 Aug 2026, 03:1811,571first reading

Engagement

25 posts held, back to 12 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
79.2%
avg views ÷ 11,604 subscribers
Avg views / post
9,190
24 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
24
of 25 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 11 August 2026
Posts held25 (12 July 202611 August 2026)
Views total220,640
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 13:03 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.

Recent posts

11 Aug 2026, 13:17 UTC≈4,350 viewsread 12 August 2026

Israele e USA hanno una notoria e capillare capacità di modellare la realtà percepita. Larry Sanger, cofondatore di Wikipedia, ha rivelato come la CIA abbia operato una sistematica revisione delle pagine di Wikipedia, per anni, nell’interesse del governo USA, di “governi amici” e di alcune corporations. Sappiamo che Israele sta allocando per le campagne propagandistiche (hasbara) enormi investimenti. Alla luce del

10 Aug 2026, 13:57 UTC≈3,040 viewsread 12 August 2026

Segnalo per gli interessati: https://www.youtube.com/watch?v=vXFnHmkk-HI

9 Aug 2026, 09:16 UTC≈11,100 viewsread 12 August 2026

C’è chi dice che il riarmo italiano è il prezzo da pagare se vogliamo sovranità. È possibile. È vero che non ci si deve illudere che ci aspetti un futuro irenico dove le capacità di difesa militare saranno irrilevanti. E però, cos’ha questo a che fare con l’attuale politica di riarmo italiano? In primo luogo, per discutere di esigenze militari si parte da un’analisi di quello che manca e che è richiesto nei conflit

7 Aug 2026, 20:02 UTC≈3,970 viewsread 12 August 2026
Photo

Segnalo per gli interessati: https://www.youtube.com/watch?v=0xcaIMgROhU

7 Aug 2026, 13:34 UTC≈20,000 viewsread 12 August 2026

Ieri, tre ragazzini (13-14 anni) di Pradamano (UD) hanno cercato di vendere limonata ad offerta libera per comprarsi un Ciao; un passante li ha denunciati per vendita senza licenza, e la forza pubblica è intervenuta per punire l’illecito. C’è chi ha deprecato il denunciante, chi l’intervento della polizia. Ma questo episodio, nella sua banalità, mette il dito sulla piaga di una questione enorme, che ci coinvolge tu

5 Aug 2026, 14:12 UTC≈11,400 viewsread 12 August 2026

Le idee contano, eccome se contano. La sovrastruttura culturale influenza la struttura economica, non solo viceversa. E l’esempio più mirabile di ciò è il processo culturale che ha demolito l’Italia portandola da 5a potenza mondiale negli anni ’80 (Pil procapite come la Germania) a 28a per Pil procapite oggi. Esiste un fiaba con cui i giornalisti a gettone hanno infarcito le nostre teste: la storia dell’Italia spe

3 Aug 2026, 07:44 UTC≈13,000 viewsread 12 August 2026

Poche cose sono più insopportabili di atlantisti filoamericani, sostenitori da sempre delle virtù del mercato che si impancano a difensori dell’Identità Italiana. L’identità italiana non è stata fatta a pezzi dalle moschee ma dai McDonald’s, dalle basi americane, da Hollywood, da un profluvio di scarti culturali a stelle e strisce che ha invaso ogni ganglio della nostra cultura. La cultura italiana è stata massacra

1 Aug 2026, 06:54 UTC≈16,700 viewsread 12 August 2026

Un mesetto fa l’incontinenza verbale del Segretario della Nato Rutte ha messo al corrente l’opinione pubblica italiana che da Sigonella e Aviano erano partiti 500 voli a sostegno dei bombardamenti americani sull’Iran. Ieri siamo venuti a sapere che da quattro mesi l’Italia ha dispiegato nel Golfo Persico 400 membri dell’Areonautica e 300 dell’Esercito, più caccia Eurofighter, Aerei di sorveglianza, ecc., sempre a so

31 Jul 2026, 09:27 UTC≈6,940 viewsread 12 August 2026

Nei commenti sulla questione dell’invasione di migranti illegali a Ceuta gira parecchia confusione e, come al solito, parecchia ignoranza. Tre osservazioni. 1) In primo luogo, Ceuta è sul continente africano, per quanto territorio spagnolo. Dunque per giungere sul territorio del continente europeo devono ancora attraversare lo stretto di Gibilterra. Se lo faranno o meno è decisione politica e giuridica, non è esito

30 Jul 2026, 08:09 UTC≈12,700 viewsread 12 August 2026

2) Trovare il modo per togliere dalla circolazione, almeno nel breve periodo, anche i rei di reati “minori”. Se questo deve significare la costruzione di nuove carceri, è triste ma così sia. Anche gli atti di criminalità minore da parte di chi ha poco da perdere devono poter essere oggetto di sanzione efficace e dissuasiva. Non è possibile che lo scippatore arrestato ieri sia in strada oggi. 3) Escludere i rei da ri

30 Jul 2026, 08:09 UTC≈10,400 viewsread 12 August 2026

NOTE SUL TEMA “SICUREZZA” • In questi giorni estivi il tema “sicurezza”, e il suo nesso con l’immigrazione, è stato al centro della discussione pubblica. Possiamo immaginare facilmente le ragioni di questa concentrazione, che al tempo stesso favorisce la polarizzazione su vecchie linee oppositive (Dx-Sx), distrae dai problemi strutturali e aiuta l’imporsi dei Gate-Keeper di Futuro Nazionale. Ma non basta capire le

29 Jul 2026, 07:18 UTC≈8,380 viewsread 12 August 2026

L’altro giorno il Ministro del Commercio cinese ha annunciato una serie di restrizioni verso le aziende europee dei settori difesa e tecnologia. Si tratta di una risposta all’attacco alle aziende cinesi presente nel 21° pacchetto di sanzioni contro la Russia. Questo è solo l’ultimo atto di una crescente tensione tra UE e Cina, di cui un momento importante è stata l’uscita dell’Italia dal progetto della Via della Set

Showing the 12 most recent of 25 posts we hold for @andreazhok. 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 — 29,567 of 1,151,006entries 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Andrea Zhok” (@andreazhok), 11,604 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/andreazhok.

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.