Inconsolabili i #giudicicontrolagiustizia: questa volta non c’è nulla che possono fare per liberarlo e rimandarlo a “lavorare” nelle calli veneziane 😢 👉 Segui PRO ITALIA 🇮🇹
🎉31😁14🗿3😢2
Signed Matteo Brandi

Channel
@MatBrandi
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
23,301subscribers
-17 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001467363878 |
|---|---|
| Type | Channel |
| Username | @MatBrandi |
| Description | Canale di Matteo Brandi, presidente di Pro Italia |
| Created | 9 December 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/MatBrandi |
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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 |
|---|---|---|
| 27 Aug 2026, 00:23 | 23,301 | +9 |
| 26 Aug 2026, 01:04 | 23,292 | +6 |
| 25 Aug 2026, 04:32 | 23,286 | -3 |
| 24 Aug 2026, 04:28 | 23,289 | +3 |
| 22 Aug 2026, 12:19 | 23,286 | -2 |
| 20 Aug 2026, 23:14 | 23,288 | +2 |
| 19 Aug 2026, 22:22 | 23,286 | -8 |
| 18 Aug 2026, 20:58 | 23,294 | -10 |
| 17 Aug 2026, 23:22 | 23,304 | -1 |
| 16 Aug 2026, 22:06 | 23,305 | +7 |
| 15 Aug 2026, 14:23 | 23,298 | -2 |
| 14 Aug 2026, 02:35 | 23,300 | -3 |
| 12 Aug 2026, 23:18 | 23,303 | -11 |
| 11 Aug 2026, 21:02 | 23,314 | -2 |
| 10 Aug 2026, 22:34 | 23,316 | +3 |
| 10 Aug 2026, 00:30 | 23,313 | +4 |
| 9 Aug 2026, 02:21 | 23,309 | -3 |
| 8 Aug 2026, 05:18 | 23,312 | -4 |
| 7 Aug 2026, 04:24 | 23,316 | -2 |
| 6 Aug 2026, 10:01 | 23,318 | first reading |
84 posts held, back to 1 August 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 44 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 27 August 2026 |
|---|---|
| Posts held | 84 (1 August 2026 – 27 August 2026) |
| Views total | 392,035 |
| Reactions total | 17,220 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Aug 2026, 09:05 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 27 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 20 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.
17,220 reactions across 84 posts, in 18 distinct kinds. The most used accounts for 35.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 6,100 | 35.4% | |
| 🤬 | 3,097 | 18.0% | |
| 😁 | 2,184 | 12.7% | |
| 👍 | 2,126 | 12.3% | |
| ❤ | 1,943 | 11.3% | |
| 💯 | 468 | 2.72% | |
| 🔥 | 344 | 2.00% | |
| ⚡ | 231 | 1.34% | |
| 🙏 | 156 | 0.906% | |
| 😢 | 122 | 0.708% | |
| 😨 | 90 | 0.523% | |
| 🗿 | 74 | 0.43% | |
| 🏆 | 72 | 0.418% | |
| 😱 | 63 | 0.366% | |
| 👎 | 50 | 0.29% | |
| 🎉 | 46 | 0.267% | |
| 🫡 | 37 | 0.215% | |
| 😎 | 17 | 0.099% |
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 84 of the 84 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 17,220reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 84 most recent posts we hold, published 1 August 2026 to 27 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.
Inconsolabili i #giudicicontrolagiustizia: questa volta non c’è nulla che possono fare per liberarlo e rimandarlo a “lavorare” nelle calli veneziane 😢 👉 Segui PRO ITALIA 🇮🇹
🎉31😁14🗿3😢2
Signed Matteo Brandi
A Mestre, in provincia di Venezia, la comunità bengalese si dice pronta a scioperare e bloccare fabbriche, cucine, alberghi etc., se il sindaco non autorizza la realizzazione della Moschea. Ecco a cosa portano le politiche globaliote dell’inclusività e dell’accoglienza: a ritrovarci ricattati a casa nostra. Eppure, qualcuno dovrebbe far notare agli amici bengalesi, che se vogliono pregare Allah, un posto ce l’hanno…
🤬100👏61⚡20👍15🗿3
Signed Matteo Brandi
Auto guidate da remoto: la nuova follia targata UE. La maestrina europea sta pensando di controllare le nostre auto tramite GPS e IA. In nome della "sicurezza"... Ne ho parlato con Francesco Borgonovo. https://youtu.be/1nZfTXnSdlM?is=WWyUp8B7JAnXvqWt
👍49⚡25😁15❤9👏8
Signed Matteo Brandi
Un nuovo Rinascimento architettonico e urbanistico per rilanciare l'Italia e contrastare l'idea distopica di città che hanno in mente i nemici del bello. È possibile. Ma serve la volontà di farlo. 👉 Segui PRO ITALIA 🇮🇹
👍98👏34💯21❤12🙏1
Signed Matteo Brandi
La vicenda della bimba di quattro anni morta di difterite a Palermo e l’indagine della Procura sui genitori che non l’avevano vaccinata impone di farsi una domanda: in Italia esiste la libertà di cura? Ad oggi la risposta, purtroppo, è molto chiara. Ce ne parla il nostro Giuseppe Pappalardo. 👉 Segui PRO ITALIA 🇮🇹
👏95👍16❤8💯5🤬2
Signed Matteo Brandi
Ma perché questo accanimento contro gli alberi? Il caso di Roma è emblematico: soldi del PNRR, deriva securitaria, tecnologia e ideologia folle. Alla base c'è un'idea malata di città del futuro, la "smart city", dove il centro è in mano a pochi benestanti e la periferia è desertificata. Il mio intervento alla trasmissione Linea Sera su Canale Italia. https://youtu.be/wlRmRNcv-J8
👏75👍20❤11🤬7💯4
Signed Matteo Brandi
Perché stanno tagliando gli alberi nelle nostre città? I motivi sono tanti: i soldi del PNRR, le biomasse, la scusa della sicurezza, la connettività... Ma il più inquietante riguarda l'idea di città del futuro che c'è dietro. Intervento di Matteo Brandi, presidente Pro Italia, alla trasmissione Notizie Oggi su Canale Italia. 👉 Segui PRO ITALIA 🇮🇹
👏140💯23❤8👍5🗿1
Signed Matteo Brandi
24 agosto 2016 - 24 agosto 2026 Sono passati dieci anni dal devastante terremoto che nel 2016 sconvolse il Centro Italia uccidendo 299 persone e distruggendo interi paesi in pochi istanti. Dieci anni. Eppure, a guardare qual è oggi lo stato in cui versano Amatrice, Accumoli, Pescara e Arquata del Tronto, sembra che siano passati dieci mesi. Con novemila cantieri aperti che procedono a spizzichi e bocconi, con centi…
👏115❤27😢10💯8👎1
Signed Matteo Brandi
Il 24 agosto 1942, nelle steppe russe, su un campo di girasoli, a Isbuscenskij, il Reggimento "Savoia Cavalleria" si lanciò alla carica contro un intero battaglione di fanteria siberiana. Un'azione coraggiosa, epica e vittoriosa che lasciò senza parole sia i sovietici che i tedeschi. Vi ripropongo la puntata del mio podcast Ritorno a Esperia dedicata alla carica di Isbuscenskij! https://youtu.be/-CF5D3M9gZg?is=vUKTQh…
❤58👍22🫡6🗿2💯1
Signed Matteo Brandi
A San Donà di Piave, in Vicolo Nuovo, un progetto per un nuovo palazzo di otto piani rischia di cambiare per sempre il volto di un intero quartiere, nonostante le proteste dei residenti e la vicinanza della storica Villa De Faveri. Il nostro Giacomo Del Pio Luogo ci spiega come, quando l’architettura smette di essere un mezzo e diventa un fine, quello che si consuma è soltanto l’ennesimo pulcricidio. 👉 Segui PRO IT…
👍89🤬32👏12❤9🙏3
Signed Matteo Brandi
Un saluto dalla zona del Chianti 🍷🍇 Altro che città dei 15 minuti e smart city, viva il paesaggio italiano!
❤225👏62👍34🗿4😁1
Signed Matteo Brandi
Anni di follie woke e ora dicono di voler fare marcia indietro. Ma i danni che hanno fatto al dibattito pubblico, al mondo dell'arte e della cultura, al linguaggio, persino a livello scolastico, sono innumerevoli. Non vi crede nessuno.
👏249👍58😁45❤18💯16
Signed Matteo Brandi
Showing the 12 most recent of 84 posts we hold for @MatBrandi. 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.
@MatBrandi 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 — 315,304 of 1,620,105entries 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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“Matteo Brandi - Canale Ufficiale” (@MatBrandi), 23,301 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/MatBrandi.
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.