Health & wellness — 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 6 October 2026 and assigned it the closest of 31 fixed categories, at 45% 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 the other topics.
Growth
11 measurements spanning 45 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 9,081–9,123 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Oct 2026, 22:26
9,118
+6
22 Oct 2026, 06:56
9,112
+6
18 Oct 2026, 21:28
9,106
+6
16 Oct 2026, 00:59
9,100
-1
12 Oct 2026, 23:07
9,101
+2
6 Oct 2026, 22:14
9,099
+7
19 Sept 2026, 14:59
9,092
+6
15 Sept 2026, 09:02
9,086
-4
11 Sept 2026, 21:41
9,090
+4
10 Sept 2026, 09:22
9,086
no change
10 Sept 2026, 08:47
9,086
first reading
Engagement
16 posts held, back to 23 September 2023 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 23 March 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
37m 24s
Average length
12m 28s
Measured directly from 3 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
733 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 48.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
354
48.3%
❤
282
38.5%
😢
45
6.14%
👏
28
3.82%
🤔
11
1.50%
🔥
4
0.546%
😁
3
0.409%
🥰
3
0.409%
⚡
1
0.136%
💯
1
0.136%
😍
1
0.136%
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 16 of the 16 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 733 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 23 September 2023 to 23 March 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
⚠️⚠️⚠️⚠️⚠️
RINGRAZIAMO L'AMMINISTRATRICE "FIAMMA" CHE HA LAVORATO MOLTISSIMO TEMPO A QUESTO CANALE PROTOCOLLI IN FORMA GRATUITA E CON SPIRITO FRATERNO.
PURTROPPO LE CONDIZIONI ATTUALI IMPEDISCONO IL SUO PROSEGUO SU QUESTO CANALE E SUGLI ALTRI DEL GRUPPO "PERCORSO BASE".
LE È STATO OFFERTO PIÙ VOLTE DI PRENDERE LA PROPRIETÀ DI QUESTO ED ALTRI CANALI DEL GRUPPO (NE AVREBBE AVUTE LE CAPACITÀ), MA HA RIFIUTATO.
PROB…
GUIDA BLU METILENE.pdf
✨Link per unirsi alla chat Supporto al Percorso Base
https://t.me/ChatDiossidoCloro
✨ Link per unirsi al Canale Percorso Base
https://t.me/clo2italia
✨canale protocolli e libri
https://t.me/protocollipercorsobase
Un breve resoconto storico sullo sviluppo del CDS (nel 2008) a partire dall' MMS, ad Andreas Kalcker con
l'aiuto di Roger Rabes ed Enric Cerqueda, e la presenza dello stesso Jim Humble.
https://odysee.com/@alcyonet:6/invention-CDS:b
✨ Link al canale Protocolli Percorso Base
https://t.me/protocollipercorsobase
✨ Link alla chat
Supporto al Percorso Base
https://t.me/ChatDiossidoCloro
✨ Link al canale Percorso Base
https://t.me/clo2italia
COME AUTOPRODURRE CDS
(Comusav Italia)
✨ Link al Canale Protocolli Percorso Base
https://t.me/protocollipercorsobase
✨ Link alla chat Supporto al Percorso Base
https://t.me/ChatDiossidoCloro
✨ Link al Canale Percorso Base
https://t.me/clo2italia
✅SINDROME DI HERXHEIMER o CRISI DI GUARIGIONE
Questa sindrome è molto comune nelle persone che attraversano crisi di guarigione, e la sindrome di Herxheimer è molto tipica quando si inizia un trattamento per eliminare le tossine dal corpo, come candida, parassiti, malattia di Lyme, cancro, ecc.
Questa reazione appare quando inizia il processo di guarigione e può durare giorni, settimane o addirittura mesi a seconda…
👍68❤26👏4
Showing the 12 most recent of 16 posts we hold for @protocollipercorsobase. 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.
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.
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.
Protocolli CDS @protocolliCDS · 42,668 Telegram ranks this channel #2 of 66 here — alongside 65 others — read 10 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“CANALE DI SUPPORTO AL PERCORSO BASE - PROTOCOLLI” (@protocollipercorsobase), 9,118 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/protocollipercorsobase.
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.
