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Channel

Valigia Blu

@valigiablu

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,905subscribers

+32 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001061375614
TypeChannel
Username@valigiablu
Created14 June 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/valigiablu

Topic

International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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.

Growth

8,8738,9058,8896 August 2026 — 8,873 subscribers7 August 2026 — 8,874 subscribers9 August 2026 — 8,878 subscribers13 August 2026 — 8,879 subscribers16 August 2026 — 8,888 subscribers19 August 2026 — 8,887 subscribers22 August 2026 — 8,889 subscribers28 August 2026 — 8,892 subscribers31 August 2026 — 8,899 subscribers4 September 2026 — 8,900 subscribers9 September 2026 — 8,905 subscribers6 August 20269 September 2026
11 measurements spanning 34 days, net +32. 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 8,868–8,910 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 18:388,905+5
4 Sept 2026, 01:208,900+1
31 Aug 2026, 10:048,899+7
28 Aug 2026, 06:238,892+3
22 Aug 2026, 20:148,889+2
19 Aug 2026, 15:558,887-1
16 Aug 2026, 20:048,888+9
13 Aug 2026, 08:088,879+1
9 Aug 2026, 22:248,878+4
7 Aug 2026, 03:108,874+1
6 Aug 2026, 15:188,873first reading

Engagement

39 posts held, back to 23 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 30 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
25.6%
avg views ÷ 8,905 subscribers
Avg views / post
2,280
13 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
13
of 39 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 28 August 2026
Posts held39 (23 July 202628 August 2026)
Views total29,630
Reactions total356
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 15:57 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

1,067 reactions across 39 posts, in 7 distinct kinds. The most used accounts for 31.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
33331.2%
👍26324.6%
🤬24122.6%
👏969.00%
😱484.50%
🔥464.31%
😢403.75%

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 39 of the 39 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 1,067 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 23 July 2026 to 28 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.

Recent posts

28 Aug 2026, 11:07 UTC800 views11 reactionsread 28 August 2026

Islanda nell’Unione Europea: il referendum del 29 agosto e la svolta geopolitica nell’Artico L’Islanda torna a guardare a Bruxelles. Il 29 agosto l’isola decide attraverso un referendum consultivo se riaprire i negoziati per l’adesione all’Unione Europea, interrotti oltre un decennio fa. A spingere per l'integrazione è il governo guidato dalla socialdemocratica Kristrún Frostadóttir: in uno scenario geopolitico mut

8😱2🔥1

28 Aug 2026, 06:45 UTC≈1,070 views18 reactionsread 28 August 2026

L’accordo miliardario per l’accusa di dipendenza da social: perché in realtà non è una sconfitta per Meta come sembra L’accordo da circa 17 miliardi di dollari tra Meta e 47 Stati americani viene raccontato dai media come una vittoria epocale contro la “social media addiction”. Tuttavia, analizzando la vicenda sul piano giuridico, economico e scientifico, la realtà appare molto diversa. Non siamo di fronte a una co

🤬9👍5👏4

27 Aug 2026, 07:13 UTC≈1,420 views22 reactionsread 28 August 2026
Photo

Quando parliamo di intelligenza artificiale tendiamo a immaginarla come una tecnologia immateriale, fatta solo di algoritmi e potenza di calcolo nel cloud. Eppure, perché funzioni, hanno bisogno dei data center, capannoni pieni di server che consumano acqua, suolo, minerali e corrente come qualsiasi altra industria pesante. In Italia le richieste di allaccio alla rete ad alta tensione per nuovi data center hanno sup

11🤬6👏5

26 Aug 2026, 08:27 UTC≈1,640 views21 reactionsread 28 August 2026

La morte del ricercatore Jason Arday e l'accanimento mediatico scatenato dal populismo razzista di destra La morte a 41 anni del ricercatore Jason Arday è l’esito tragico di un feroce linciaggio mediatico a sfondo razzista che metteva in dubbio la sua carriera, i riconoscimenti professionali dichiarati, ma anche la sua persona. Divenuto celebre per la sua ascesa dopo una diagnosi infantile di autismo e ritardi nell

🤬16🔥41

25 Aug 2026, 07:07 UTC≈1,880 views34 reactionsread 28 August 2026

Cosa succede quando un colosso energetico da novanta miliardi l’anno porta in tribunale professori precari, giovani attivisti, organizzazioni non governative e giornalisti d’inchiesta? I procedimenti legali avviati da Eni contro realtà come Ultima Generazione, Fridays For Future, Greenpeace e ReCommon mettono in luce un cortocircuito profondo: da un lato tribunali strutturalmente impreparati a maneggiare la complessi

22🤬7👍3👏2

24 Aug 2026, 06:35 UTC≈2,340 views37 reactionsread 28 August 2026

Basta una battuta informale di un consigliere comunale di Brooklyn, tradotta male e rilanciata senza verifiche, per costruire un caso politico e trascinare il dibattito italiano in una trappola ideologica? È quello che è successo con l'ennesima crociata contro il woke, cavalcata contemporaneamente da Giuseppe Conte, Matteo Renzi e da diverse testate nazionali sulla base di un virgolettato attribuito ad Alexandria Oca

🤬1611👏10

22 Aug 2026, 06:34 UTC≈2,490 views22 reactionsread 28 August 2026

Neil Postman, le storie del mondo e la difficoltà di capire il presente Dalla TV ai social e all’AI, i media non sono semplici contenitori ma plasmano il modo in cui pensiamo. Come spiegava Neil Postman, la TV ha sostituito il ragionamento logico con sequenze di immagini ed emozioni. Oggi gli algoritmi e i Reel non hanno fatto che accelerare questa stessa grammatica visiva. Perché funziona? Perché il nostro cervell

18👏4

21 Aug 2026, 06:49 UTC≈2,700 views40 reactionsread 28 August 2026

“I carabinieri devono dire alle donne che denunciano i compagni violenti che si facciano subito la valigia e spariscano. Devono dire la verità. Perché non c’è modo di proteggerle e devono mettere in conto che potrebbero morire. Sono loro che devono cambiare vita o questa è la fine che fanno". A parlare è Marinella Forner, la madre di Tania Terrin, uccisa la sera di Ferragosto dal suo ex Dino Keber, a Camponogara, ne

16😢14👍7🔥3

20 Aug 2026, 07:20 UTC≈3,170 views30 reactionsread 28 August 2026

La tecno-oligarchia ruba il nostro futuro Dagli esperimenti del 1953 sui ratti fino alle slot machine e allo scorrimento infinito degli smartphone, il meccanismo è identico: sfruttare i circuiti dopaminici per intrappolare l'attenzione. L'obiettivo delle piattaforme non è semplicemente rubare la nostra attenzione, ma comprimere il tempo in un presente perenne, disinnescando la naturale capacità umana di immaginare

22👏7😱1

19 Aug 2026, 06:40 UTC≈3,110 views36 reactionsread 28 August 2026

La storia del filosofo Louis Althusser che uccise la moglie, la sociologa Hélène Rytmann-Legotien, e “inventò” il mascolinismo Quando un crimine coinvolge una figura di spicco dell’élite intellettuale, la narrazione pubblica tende spesso a costruire un alibi culturale o nascondere tutto nel ristretto ambito dei circuiti intimi e privati. È ciò che è accaduto per oltre quarant'anni all'omicidio della sociologa Hélèn

24👍5🔥4👏3

18 Aug 2026, 10:11 UTC≈2,570 views34 reactionsread 28 August 2026

Sigfrido Ranucci dovrebbe fare un passo indietro Ranucci per il bene di Report dovrebbe fare un passo indietro. E noi dovremmo avere il coraggio di criticare scelte discutibili. Lavitola, un personaggio decisamente poco limpido, da oggetto di inchiesta di Report è diventato fonte e poi amico fraterno del conduttore del programma investigativo di punta del servizio pubblico radiotelevisivo. “Bisogna avere cura dei r

👍236👏4🤬1

17 Aug 2026, 07:32 UTC≈2,700 views18 reactionsread 28 August 2026

Il deepfake Vannacci-Schlein e il falso mito del vuoto normativo sull’AI Il deepfake sul finto incontro tra Elly Schlein e Roberto Vannacci offre un test concreto per valutare l'efficacia delle norme anti-AI. Il video originale, creato a scopo divulgativo con disclaimer da Leonardo Pippa, è stato ritagliato da terzi anonimi per eliminare la spiegazione e ingannare la rete. Le leggi per intervenire ora ci sono — dal

👍12😱3🔥21

Showing the 12 most recent of 39 posts we hold for @valigiablu. 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.

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.

Appears in Telegram’s recommendations for other channels

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.

il Post
@ilpost_official · 47,426
Telegram ranks this channel #7 of 76 here — alongside 75 others — read 26 August 2026
ISPI - Geopolitica
@ispionline · 27,721
Telegram ranks this channel #8 of 90 here — alongside 89 others — read 10 September 2026
Will Media
@will_media · 41,399
Telegram ranks this channel #14 of 79 here — alongside 78 others — read 29 August 2026
la Repubblica
@repubblica · 37,102
Telegram ranks this channel #37 of 78 here — alongside 77 others — read 1 September 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“Valigia Blu” (@valigiablu), 8,905 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/valigiablu.

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.