2 measurements taken within a single day. 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 1,175–1,177 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 12:44
1,176
no change
12 Aug 2026, 02:46
1,176
first reading
Engagement
18 posts held, back to 4 June 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
42.5%
avg views ÷ 1,176 subscribers
Avg views / post
500
8 posts measured
Reaction rate
5.45%
reactions ÷ views · ER floor
Posts in window
10
of 18 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 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 August 2026
Posts held
18 (4 June 2026 – 10 August 2026)
Views total
4,002
Reactions total
198
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:46 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
Video runtime
4m 37s
Average length
2m 19s
Measured directly from 2 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.
Reaction mix
349 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 45.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
159
45.6%
👍
121
34.7%
👏
44
12.6%
🥱
7
2.01%
🔥
6
1.72%
🤡
4
1.15%
🤬
4
1.15%
⚡
1
0.287%
🏆
1
0.287%
👌
1
0.287%
🤔
1
0.287%
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 13 of the 18 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 349reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 4 June 2026 to 10 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.
Il 10 agosto 2019, 7 anni fa, moriva in carcere Jeffrey Epstein.
A marzo sono stata a New York in alcuni dei luoghi che hanno segnato la sua vita.
Come la sua casa nell’Upper East Side, ribattezzata “degli orrori”, un palazzo enorme nel cuore di Manhattan dove negli anni sono passati personaggi ricchissimi e influenti.
Per chi non l’avesse già visto e fosse interessato posto di nuovo il link al mio reportage
http…
Sono a Oslo davanti a Palazzo Reale. Guardandolo mi è tornata in mente la storia dei rapporti tra la futura regina, Mette-Marit, e Jeffrey Epstein.
Dagli #Epsteinfile sono emerse email che raccontano una certa confidenza. Si chiamavano “tesoro”, “molto affascinante”. Ci sono centinaia di messaggi nel corso degli anni.
Nel 2011 lei gli scrive di averlo cercato online. E ammette che quello che aveva trovato su di lui…
Ci sono storie di cronaca delle quali, negli anni, abbiamo letto e ascoltato praticamente tutto. Sentenze, ricostruzioni, perizie, interviste, speciali televisivi.
Ma raramente abbiamo la possibilità di rivolgerci direttamente alle persone che di quelle storie sono state protagoniste.
Ho recuperato il contatto di una persona al centro di uno dei casi di cronaca più discussi degli ultimi anni e sto pensando di scrive…
Virginia Camerieri pinned «Qui di seguito trovate il link di accesso al gruppo di discussione che ho appena creato qui su Telegram. Vi aspetto per confrontarci un po’ su tutto! ⬇️ https://t.me/virginiacamerierichat»
Qui di seguito trovate il link di accesso al gruppo di discussione che ho appena creato qui su Telegram.
Vi aspetto per confrontarci un po’ su tutto!
⬇️
https://t.me/virginiacamerierichat
In questi giorni in Norvegia ho visto diversi parchi giochi. Qui gli scivoli non si raggiungono con una scaletta, bisogna arrampicarsi: corde, reti, pareti inclinate. Il gioco non è solo la discesa. È capire come arrivarci.
Nel libro “La generazione ansiosa”, Jonathan Haidt racconta come in molti Paesi i parchi giochi siano stati progettati per essere sempre più sicuri, fino a eliminare ogni elemento di sfida. Ma pe…
Un video nato per raccontare un’esperienza personale è diventato una notizia battuta dai giornali.
La mia testimonianza sul viaggio in traghetto Genova - Olbia è stata ripresa da La Nuova Sardegna, che mi ha contattata dopo aver visto il reel da oltre 260 mila visualizzazioni.
Quando un racconto documentato aiuta ad accendere i riflettori su un problema che riguarda tanti viaggiatori, significa che i social possono…
Tutti parlano dell’Odissea di Christopher Nolan. Io, invece, voglio raccontare un’altra odissea.
Quella di chi paga centinaia di euro una cabina su un traghetto per attraversare il mare di notte e scopre che dormirci è impossibile.
#gnv #sardegna #traghetto #codacons
…Ho sempre pensato che la chiusura di un capitolo non significhi mettere un punto, ma avere la determinazione di scrivere un nuovo racconto. Ogni cambiamento porta con sé un’incognita, ma anche la possibilità di ridefinire i propri obiettivi, non per dimostrare qualcosa agli altri, ma per continuare a crescere.
Tra le cose che custodirò con particolare affetto c’è il disegno di un bambino che mi ha ritratta mentre c…
L’uomo che spende 2 milioni di dollari l’anno per non morire si è ammalato di una malattia che nessuno dei suoi sensori ha visto arrivare.
Non è solo una notizia di cronaca. È un caso studio su cosa significhi davvero “controllo” quando si parla del proprio corpo e su quanto dell’industria del biohacking venda #scienza, e quanto venda solo l’illusione di scienza.
Io mi ero appassionata alla sua storia anni fa, al pun…
❤18👍8🔥2🤡2⚡1🏆1
Showing the 12 most recent of 18 posts we hold for @VirginiaCamerieri. 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 — 1,018,522 of 1,340,412entries 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
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.
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.
“Virginia Camerieri” (@VirginiaCamerieri), 1,176 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/VirginiaCamerieri.
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.