Channel
@valdovaccaro
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
15,455subscribers
-8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001262953799 |
|---|---|
| Type | Channel |
| Username | @valdovaccaro |
| Description | Canale telegram ufficiale di Valdo Vaccaro - Igienismo Naturale https://www.valdovaccaro.com |
| Created | 10 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/valdovaccaro |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 16:58 | 15,455 | -1 |
| 15 Aug 2026, 00:09 | 15,456 | -6 |
| 12 Aug 2026, 10:38 | 15,462 | +1 |
| 11 Aug 2026, 08:22 | 15,461 | -3 |
| 9 Aug 2026, 05:52 | 15,464 | -1 |
| 8 Aug 2026, 07:11 | 15,465 | +1 |
| 7 Aug 2026, 04:58 | 15,464 | +1 |
| 6 Aug 2026, 10:03 | 15,463 | no change |
| 6 Aug 2026, 09:54 | 15,463 | first reading |
28 posts held, back to 3 July 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 22 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 16 August 2026 |
|---|---|
| Posts held | 28 (3 July 2026 – 16 August 2026) |
| Views total | 53,459 |
| Reactions total | 1,112 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 21:55 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 16 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.
2,996 reactions across 27 posts, in 8 distinct kinds. The most used accounts for 58.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,754 | 58.5% | |
| 👍 | 790 | 26.4% | |
| 👏 | 356 | 11.9% | |
| 🙏 | 61 | 2.04% | |
| 😍 | 20 | 0.668% | |
| 🔥 | 7 | 0.234% | |
| 😁 | 6 | 0.2% | |
| 🤩 | 2 | 0.067% |
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 27 of the 28 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 2,996reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 3 July 2026 to 16 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @valdovaccaro. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 28 most recent posts we hold for this entry, published 3 July 2026 to 16 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
“☝️Il sale è una sostanza fondamentale per la funzionalità di nervi e muscoli, La mancanza di sale, e parliamo essenzialmente del cloruro di sodio, può essere specifica causa di crampi. 👌Il problema è che non possiamo contare sul sale marino o su quello dell’Himalaya, e nemmeno sui sali delle verdure cotte, ‼️le quali con la cottura si vedono trasformare i propri sali organicati in sali inorganici e dunque non più a…
❤23👍10
Valdo Vaccaro pinned Deleted message
LA VITA E' PIU' LUNGA, MA DI MERDA! L'ILLUSIONE DELLA LONGEVITÀ: VIVERE DI PIU' O SOFFRIRE PIU' A LUNGO? “Ragazzi è arrivato il momento di stappare il prosecco bio per brindare. Il motivo? Nel mondo si vive di più! In poco più di trent'anni, tra il 1990 e il 2023, l'aspettativa di vita globale alla nascita è aumentata da 64,6 anni a 73,8 anni. Evviva. Finalmente un dato positivo! 🍾 Eh già, poco importa se sono aume…
❤68👏34👍26🔥2😁1
Photo, posted without a caption
👏50❤20👍4
I medici non vengono formati su cosa sia davvero la salute né su come preservarla. Vengono formati a riconoscere e classificare le malattie, arrivando perfino a creare categorie come il “prediabete”, così da etichettare come malate anche persone sane. Usano liste di sintomi ed esami di laboratorio per assegnare una diagnosi, dopodiché linee guida e algoritmi indicano farmaci e trattamenti. Durante la formazione vi…
❤42👍27👏15
Photo, posted without a caption
❤62👍21👏5🙏2
«Il diabete è la terza causa di morte negli USA, e la prima causa di cecità. Un tempo si facevano tante ipotesi sbagliate, attribuendolo a fattori ereditari, a difetti del pancreas, incapace di produrre i giusti livelli di insulina. ◆ Oggi sappiamo con certezza e con prove alla mano che è causato da errori nella dieta, ed è esacerbato dallo stress. ◆ Sappiamo che deriva dal SANGUE GRASSO che inibisce l’interazione…
❤51👍18🙏3
Photo, posted without a caption
❤23👍23👏7
COME FARE LA CURA DELL’UVA 🍇🍇🍇🍇🍇🍇🍇🍇🍇🍇🍇🍇 “Ecco dunque qualche consiglio per una cura dell’uva adatta a tutti. La cura va fatta se possibile con uva nera e si prolunga generalmente per un paio di settimane. Prima di essere mangiata, l’uva va sempre accuratamente lavata in acqua corrente, in modo da togliere la polvere e le eventuali tracce di solfato di rame che possono essere presenti sulla buccia. ‼️Prima di intrap…
❤74👍49🙏8👏1🤩1
Photo, posted without a caption
❤22👍12
Photo, posted without a caption
❤80👍52👏23🔥2
“✍️La malattia come entità negativa, al di là ovviamente degli incidenti stradali e di lavoro, non esiste. Tutte le sofferenze umane hanno per causa principale solo l’ignoranza di se stessi e delle leggi che governano il mondo. Se tu non conosci i poteri formidabili che sono in te, non potrai servirtene e rimarrai un disgraziato e un derelitto che boccheggia in mezzo all’abbondanza. L’uomo civilizzato e tecnologic…
❤85👍40👏19🔥1
Showing the 12 most recent of 28 posts we hold for @valdovaccaro. 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 — 593,075 of 1,480,975entries 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.
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 4 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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Valdo Vaccaro” (@valdovaccaro), 15,455 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/valdovaccaro.
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.