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Created
Between 1 February 2026 and 9 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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
23 measurements spanning 89 days, net +1,263. 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 4,834–6,475 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
3 Nov 2026, 01:11
6,286
+1
30 Oct 2026, 23:36
6,285
+3
27 Oct 2026, 19:07
6,282
+2
24 Oct 2026, 15:17
6,280
+7
18 Oct 2026, 01:39
6,273
+7
14 Oct 2026, 19:10
6,266
+8
11 Oct 2026, 08:55
6,258
+26
5 Oct 2026, 03:17
6,232
+23
26 Sept 2026, 14:01
6,209
+76
17 Sept 2026, 13:16
6,133
+54
13 Sept 2026, 22:22
6,079
+126
9 Sept 2026, 19:36
5,953
+103
4 Sept 2026, 16:01
5,850
+335
1 Sept 2026, 02:35
5,515
+121
28 Aug 2026, 19:13
5,394
+42
26 Aug 2026, 03:17
5,352
+40
23 Aug 2026, 04:57
5,312
+41
20 Aug 2026, 03:35
5,271
+71
16 Aug 2026, 20:16
5,200
+124
13 Aug 2026, 02:48
5,076
first reading
Engagement
34 posts held, back to 9 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 11 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
47.8%
avg views ÷ 6,286 subscribers
Avg views / post
3,010
13 posts measured
Reaction rate
3.01%
reactions ÷ views · ER floor
Posts in window
13
of 34 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
Window
Rolling 30 days · latest post in window 4 November 2026
Posts held
34 (9 July 2026 – 4 November 2026)
Views total
39,097
Reactions total
1,178
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 00:47 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
Photos
73
Videos
61
Links
51
Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
34m 26s
Average length
3m 27s
Measured directly from 10 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
2,413 reactions across 31 posts, in 16 distinct kinds. The most used accounts for 25.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
622
25.8%
🔥
503
20.8%
😡
363
15.0%
👏
185
7.67%
🙏
178
7.38%
👍
173
7.17%
😭
117
4.85%
👌
75
3.11%
😱
40
1.66%
💯
38
1.57%
👀
37
1.53%
🏆
28
1.16%
⚡
25
1.04%
❤🔥
12
0.497%
😘
12
0.497%
🤝
5
0.207%
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 31 of the 34 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 2,413 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 9 July 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 1 of 13 posts held from the last 30 days (7.69%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
4 novembre 2026
🔴Medico vaccinatore minaccia i genitori. Dice loro che la decisione spetterà al giudice! FALSO!
Ricordo a tutti che: recentemente il Comitato Fortitudo, e la sua Presidente Maria Grazia Piccinelli, sono stati ritenuti non colpevoli per aver aiutato i cittadini intervenendo e diffondendo una registrazione video per dare voce ad un fatto di cronaca. Il Giudice, Dottor Sora Francesco, nella sentenza n. …
💕Il bambino morto a causa del morbillo a Catania aveva 10 mesi e pertanto ANCORA NON IN ETA’ DA VACCINO. Chi sta cogliendo l’occasione per farsi una campagna personale, dovrebbe avere la serietà di non strumentalizzare un caso pietoso, distorcendo la verità. Morire di morbillo e’ fortunatamente raro (4 casi dal 1918 in Italia) ed è altrettanto raro nei Paesi nei quali tale vaccinazione non è obbligatoria:
• Austria
•…
Da: il Tabù delle vaccinazioni, pagina 42.
Il vaccino contro il morbillo fu introdotto negli USA nel '63.
In quell'epoca i casi di morbillo si erano ridotti spontaneamente e la mortalità si era ridotta drasticamente (0,03 morti per 100mila abit.)
Statistiche analoghe negli altri Paesi.
Il morbillo era in via di estinzione, prima dell'avvento della vaccinazione.
Dopo l'introduzione della vaccinazione, secondo l'OMS, s…
I documenti che Pfizer ha cercato di nascondere per 75 anni vi faranno gelare il sangue nelle vene
270 donne incinte sono state vaccinate nell'ambito dello studio di Pfizer. 234 di queste cartelle cliniche relative alla gravidanza sono completamente SPARITE.
Questo è un INSABBIAMENTO. Delle 36 donne che sono state effettivamente monitorate, oltre l'80% HA PERSO I PROPRI BAMBINI, e Pfizer lo sapeva.
Pfizer e i suoi…
A proposito della bronchiolite, monoclonale virus sincizuale sotto monitoraggio addizionale, sperimentale.
Non ci sono dati di sicurezza ed efficacia, ma ci sono le cavie: i vostri figli!
💉💉💉💉💉💉💉💉
📃 Lo studio Henry Ford ha seguito per 10 anni una coorte di 18.468 bambini, confrontando vaccinati e non vaccinati.
🗣 I risultati mostrano differenze impressionanti: nei vaccinati si è registrato un +496% di malattie autoimmuni, +453% di disturbi dello sviluppo neurologico, +329% di asma e +203% di malattie atopiche. Dopo 10 anni, il 57% dei bambini vaccinati soffriva di patologie croniche, contro solo il …
AIFA avverte gli utenti che il servizio online di segnalazioni effetti avversi è in manutenzione straordinaria!
AIFA, il Comitato Fortitudo ti fa saltare il server?
Danno da vaccino per esavalente con nesso causale e temporale, ma per i medici dell'Hub il bambino è vaccinabile. I medici scrivono che non possono assumersi nessuna responsabilità di eventuali nuovi effetti avversi.
Il Comitato Fortitudo, pagherà l'intero intervento dell'avvocato Paolo Francesco Cinquemani.
Schede tecniche AIFA: NON CI SONO DATI DI SICUREZZA, NON CI SONO STUDI SCIENTIFICI, I BAMBINI VACCINATI DOVREBBERO FARE 6 SETTIMANE DI QUARANTENA DOPO IL VACCINO, RISCHIO POTENZIALE DI TRASMISSIONE, FARMACI SOGGETTI A PRESCRIZIONE MEDICA, IL PROQUAD NON ASSICURA LA PROTEZIONE DI TUTTI I SOGGETTI VACCINATI.
E la chiamano Agenzia Italiana del Farmaco!
👏84🔥38😡15👍6❤4👌1
Showing the 12 most recent of 34 posts we hold for @documenticomitatofortitudo. 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
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
Named by 2 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.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“I Documenti del Comitato Fortitudo Gruppo Operativo del Comitato Fortitudo” (@documenticomitatofortitudo), 6,286 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/documenticomitatofortitudo.
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.