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Created
30 October 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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
36 measurements spanning 51 days, net -356. 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 34,746–35,208 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
25 Sept 2026, 16:41
34,799
-30
17 Sept 2026, 10:41
34,829
+28
15 Sept 2026, 12:20
34,801
-15
13 Sept 2026, 18:39
34,816
-14
11 Sept 2026, 23:56
34,830
-20
9 Sept 2026, 15:20
34,850
-9
6 Sept 2026, 08:02
34,859
+9
4 Sept 2026, 01:00
34,850
-7
2 Sept 2026, 15:45
34,857
-14
1 Sept 2026, 12:17
34,871
-24
31 Aug 2026, 12:28
34,895
-18
30 Aug 2026, 11:04
34,913
-14
29 Aug 2026, 14:03
34,927
-5
28 Aug 2026, 16:22
34,932
-10
27 Aug 2026, 18:14
34,942
-3
26 Aug 2026, 15:37
34,945
+34
25 Aug 2026, 15:23
34,911
-17
24 Aug 2026, 13:47
34,928
-11
22 Aug 2026, 22:47
34,939
-24
21 Aug 2026, 11:54
34,963
first reading
Engagement
552 posts held, back to 4 August 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 93 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.04%
avg views ÷ 34,799 subscribers
Avg views / post
2,450
266 posts measured
Reaction rate
0.942%
reactions ÷ views · ER floor
Posts in window
266
of 552 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 262 of 266 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 30 September 2026
Posts held
552 (4 August 2026 – 30 September 2026)
Views total
651,879
Reactions total
6,059
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 06:50 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
≈2,850
Videos
≈10,100
Links
≈10,700
Lifetime counters from Telegram’s own channel header, read 30 September 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.
Video runtime
69h 44m
Average length
12m 29s
Measured directly from 335 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
12,548 reactions across 528 posts, in 10 distinct kinds. The most used accounts for 35.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
4,498
35.8%
🔥
4,252
33.9%
❤
2,083
16.6%
👏
1,024
8.16%
🆒
386
3.08%
🏆
171
1.36%
🎉
80
0.638%
🥰
35
0.279%
😍
13
0.104%
❤🔥
6
0.048%
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 548 of the 552 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 13,015 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 552 most recent posts we hold, published 4 August 2026 to 30 September 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.
Telegram Stars
Stars received
50
across the posts below
Posts paid on
1
of 552 we hold a reading for · 0.2%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lanuovanormalita. 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 552 most recent posts we hold for this entry, published 4 August 2026 to 30 September 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.
Parole di un Maestro Massone del 33° grado.
I massoni venerano ogni sorta di divinità. (Con Baphomet in cima alla lista).
Una volta superati i tre gradi fondamentali, è il momento in cui ci si aspetta da te determinati "sacrifici".
IN ESCLUSIVA
https://t.me/lanuovanormalita
⬇️SOSTIENI IL CANALE⬇️
💳PAYPAL💳🥺SATISPAY🥺
💳💳💳CARTA DI CREDITO💳💳💳
Gli altri canali in realtà non vogliono che tutto finisca.
C'è purtroppo chi ci campa con tutto questo circo.
Se domani tutto finisse, dovrebbero trovarsi un lavoro vero.
Guardate, osservate, meditate chi fa cosa e come.
QUALCUNO HA VISTO PUBBLICATO IN QUALCHE GRANDE CANALE I VIDEO CHE HO POSTATO STAMATTINA IN MERITO AI PREZZI DEI CARBURANTI IN GIRO PER IL MONDO?
CHIEDO PER UN AMICO.
Netanyahu afferma: "Abbiamo indicazioni che, in vista delle elezioni, i nostri nemici tenteranno di attaccarci".
"Da qui, dalla base dell'Aeronautica, dal braccio lungo dello Stato di Israele, vi lancio un messaggio: non scherzate con noi, né ora né mai".
IN ESCLUSIVA
https://t.me/lanuovanormalita
⬇️SOSTIENI IL CANALE⬇️
💳PAYPAL💳🥺SATISPAY🥺
💳💳💳CARTA DI CREDITO💳💳💳
Ti piace questo canale?
Trovi utile il materiale pubblicato?
Contribuisci sostenendolo.
Fai la tua parte con una donazione.
Grazie.
IBAN: IT10H0623002042000015186761
Intestato a: Goggi Sebastiano
💳Paypal: [email protected]
🥺Satispay: colletta
💎Crypto TRC20: TWY7vkxHVoR9Fv7sYP4MFdugwE82cnUkYw
💰➡️ABBONAMENTO AL CANALE CON CARTA DI CREDITO
💰➡️LIBERA DONAZIONE AL CANALE CON CARTA DI CREDITO
Trump: “Se i Repubblicani conquisteranno la Camera e il Senato, 5.000 dollari a ogni adulto. E possiamo farlo. I Democratici non possono, perché non hanno entrate e ci faranno precipitare nella depressione. Non avranno soldi.”
A PARTE LE CAZZATE, QUANTI QUI IN ITALIA SI VENDEREBBERO PER MOLTO MENO?
BASTA TOGLIERE 10 CENTESIMI SUL GASOLIO E POI AGGIUNGERNE 30. 😂
IN ESCLUSIVA
https://t.me/lanuovanormalita
⬇️SOSTI…
Prezzi dei carburanti in Algeria ad agosto 2026.
IN ESCLUSIVA
https://t.me/lanuovanormalita
⬇️SOSTIENI IL CANALE⬇️
💳PAYPAL💳🥺SATISPAY🥺
💳💳💳CARTA DI CREDITO💳💳💳
🔥13👍6❤2
Showing the 12 most recent of 552 posts we hold for @lanuovanormalita. 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.
Posts edited after publishing
@lanuovanormalita edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
12 August 2026
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 23 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 3 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
ALI - Avvocati Liberi @avvocati_liberi · 21,322 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 24 September 2026
Dr. Roberto Petrella 3317784249 @RobertoPetrella · 21,508 Telegram ranks this channel #1 of 66 here — alongside 65 others — read 23 September 2026
La Voce Libera 🗣️🔈 @la_voce_libera · 26,778 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 11 September 2026
RA/Avv. DDr. Renate Holzeisen @renateholzeisen · 33,766 Telegram ranks this channel #1 of 76 here — alongside 75 others — read 3 September 2026
Raffaella Regoli canale ufficiale @RaffaellaRegoli · 47,268 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 26 August 2026
Canale Comitato Fortitudo @comitatofortitudo · 52,622 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 24 August 2026
Eventi Avversi News @evncov · 53,122 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 24 August 2026
Coordinamento 15 ottobre @Coordinamento_15_ottobre · 25,818 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 13 September 2026
𝗖𝗢𝗡𝗦𝗘𝗡𝗦𝗢 𝗗𝗜𝗦𝗜𝗡𝗙𝗢𝗥𝗠𝗔𝗧𝗢 @consenso_disinformato · 54,612 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 23 August 2026
Buffonate di Stato @buffonatedistato · 74,497 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 19 August 2026
IL CORAGGIO DELL'ANIMA 💎 @ilcoraggiodellanima · 26,264 Telegram ranks this channel #4 of 70 here — alongside 69 others — read 23 September 2026
Amore Verità Libertà @Diegodibonito · 35,652 Telegram ranks this channel #4 of 70 here — alongside 69 others — read 23 September 2026
Danni Collaterali @dannicollateralivaccinocovid · 28,837 Telegram ranks this channel #4 of 82 here — alongside 81 others — read 9 September 2026
IppocrateOrg @IppocrateOrg · 34,457 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 3 September 2026
Davide Zedda (Giornalista libero e indipendente. Libero pensiero, libera informazione e controinformazione) @davide_zedda · 59,703 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 22 August 2026
𝗗𝗜𝗦𝗜𝗡𝗙𝗢𝗥𝗠𝗔𝗭𝗜𝗢𝗡𝗘.𝗜𝗧 - Marcello Pamio @marcellopamio · 69,984 Telegram ranks this channel #5 of 84 here — alongside 83 others — read 21 August 2026
Roberto Nuzzo 🇮🇹👮♂️ @robertonuzzocanale · 21,321 Telegram ranks this channel #6 of 73 here — alongside 72 others — read 24 September 2026
Protocolli CDS @protocolliCDS · 42,353 Telegram ranks this channel #7 of 66 here — alongside 65 others — read 10 September 2026
METODO DI BELLA @METODO_DI_BELLA · 20,667 Telegram ranks this channel #8 of 83 here — alongside 82 others — read 26 September 2026
La Verità ci Rende Liberi e ci Fa Incazzare @Laveritacirendeliberiecifaincazz · 26,904 Telegram ranks this channel #10 of 76 here — alongside 75 others — read 11 September 2026
Dr. Cristina Tomasi @drcristinatomasi · 28,289 Telegram ranks this channel #10 of 75 here — alongside 74 others — read 9 September 2026
Gianluigi Paragone @gianluigi_paragone · 46,222 Telegram ranks this channel #11 of 87 here — alongside 86 others — read 27 August 2026
C.Li.Va. Toscana @clivatoscana · 21,523 Telegram ranks this channel #12 of 83 here — alongside 82 others — read 23 September 2026
Dott. GABRIELE PRINZI - il sistema immunitario è argomento da complottisti😎 @dottgabrieleprinzi_official · 29,473 Telegram ranks this channel #12 of 72 here — alongside 71 others — read 8 September 2026
This channel appears in 65 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“La nuova normalità” (@lanuovanormalita), 34,799 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/lanuovanormalita.
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.