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 10 August 2026 and assigned it the closest of 31 fixed categories, at 77% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 28 comparable posts for this entry, running 12 June 2026 to 4 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 3 channels, the one whose matching posts we hold earliest is @luogocomune2 — which is this entry. That is a statement about our reading window, not a claim of authorship.
Views per post sit far above this size band
35,200 average views per post against 48,709 subscribers — an engagement rate of 72.2%. Across the 23,599 registered channels in the same cohort — 31,623–99,997 subscribers — the middle half sit between 2.65% and 15.1%, with a median of 6.81%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
9 of 9 published in the window (0 exact, 9 rounded by Telegram)
Views totalled
316,700
Mature posts only
77.0% over 8 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_source · err_high, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
57 measurements spanning 96 days, net -83. 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 48,658–48,838 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
10 Nov 2026, 07:10
48,679
-7
8 Nov 2026, 19:58
48,686
-10
7 Nov 2026, 15:55
48,696
-11
6 Nov 2026, 14:24
48,707
+2
5 Nov 2026, 17:49
48,705
-4
3 Nov 2026, 12:20
48,709
-7
2 Nov 2026, 13:20
48,716
-3
1 Nov 2026, 15:50
48,719
+3
31 Oct 2026, 15:44
48,716
-2
30 Oct 2026, 13:35
48,718
+2
29 Oct 2026, 14:56
48,716
-4
28 Oct 2026, 17:27
48,720
-2
27 Oct 2026, 14:04
48,722
-4
26 Oct 2026, 10:38
48,726
-1
24 Oct 2026, 07:50
48,727
-3
22 Oct 2026, 12:18
48,730
-13
21 Oct 2026, 06:07
48,743
+1
20 Oct 2026, 02:30
48,742
+3
19 Oct 2026, 03:19
48,739
-4
17 Oct 2026, 01:08
48,743
first reading
Engagement
44 posts held, back to 12 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
74.7%
avg views ÷ 48,679 subscribers
Avg views / post
36,400
8 posts measured
Reaction rate
2.80%
reactions ÷ views · ER floor
Posts in window
8
of 44 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 11 November 2026
Posts held
44 (12 June 2026 – 11 November 2026)
Views total
291,000
Reactions total
8,136
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 01:42 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
95
Videos
23
Links
334
Lifetime counters from Telegram’s own channel header, read 12 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.
Reaction mix
47,584 reactions across 44 posts, in 56 distinct kinds. The most used accounts for 38.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
18,337
38.5%
👏
13,101
27.5%
❤
7,817
16.4%
🤬
1,651
3.47%
🤣
1,116
2.35%
🤮
832
1.75%
💯
473
0.994%
💩
464
0.975%
🔥
456
0.958%
😁
403
0.847%
🤔
389
0.818%
🙏
376
0.79%
🤡
337
0.708%
😢
233
0.49%
🏆
216
0.454%
😭
180
0.378%
👎
147
0.309%
😱
142
0.298%
👌
94
0.198%
😨
77
0.162%
36 further kinds
743
1.56%
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 44 of the 44 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 47,584 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 12 June 2026 to 11 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: 2 of 8 posts held from the last 30 days (25.0%) 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).
IL CARNEVALE È RIMANDATO
Tutto era pronto per il pubblico olocausto. La vittima sacrificale – Peter Hegseth – era stata pettinata, rivestita e impomatata, pronta per essere sacrificata sull’altare della politica: mandare all’impeachment il nazi-suprematista, per salvare la faccia al presidente Trump.
Invece all’ultimo momento i sacerdoti repubblicani – che ancora comandano alla Camera – hanno deciso di soprassedere…
E’ FINITA “L’ETA’ DELL’ORO”
La famosa “età dell’oro” annunciata da Trump due anni fa è scoppiata in una bolla di merda arancione.
La vittoria dei democratici al senato è andata oltre ogni più rosea previsione. L’America rurale – quella che mai, fino a due anni fa, si sarebbe sognata di votare contro Trump – ha sbattuto la porta in faccia all’uomo che li aveva illusi.
Trump aveva chiesto di “votare come se ci fossi…
ISRAELE: L’UNICA TRISTE VERITÀ
Israele non avrà un governo domani mattina. Pur essendo il Likud il primo partito, la coalizione di Netanyahu non ha la maggioranza, e quella di Eisenkot può raggiungerla solo con il contributo dei partiti arabi. Ma mettersi con loro significherebbe fare concessioni ai palestinesi che la maggioranza del paese non vuole, per cui un governo del genere avrebbe vita breve.
L’altra alterna…
L’ISLAM FA CUCÙ, E IL DISAGIO NON C’È PIÙ
E’ bastato scoprire che l’organizzatore delle manifestazioni era un islamico – per di più collaboratore del Fatto - e sui giornali di destra è scoppiato il Carnevale di Rio: “Ma quale disagio. In fumo le balle della sinistra”.”Beccato il capetto della rivolta: islamico, propal e firma del Fatto. Incrocio fra islamisti, filo Palestina, antagonisti” (Il Tempo). “Non è disagio,…
IN ARRIVO UNA “OCTOBER SURPRISE”?
Le prossime due settimane rappresenteranno un momento molto delicato nei già precari equilibri internazionali. Trump e Netanyahu infatti vanno ad elezioni ravvicinate, e nessuno dei due ha la garanzia di non uscirne con le ossa rotte.
Se poi pensiamo che i due sono complici e responsabili per la recente guerra contro l’Iran, c’è il rischio concreto di una devastante “October surpri…
LA NASA CHIEDE AIUTO PER TORNARE SULLA LUNA
Ragazzi diamoci da fare. Abbiamo tre mesi di tempo per risolvere un grosso problema tecnico, altrimenti la NASA non potrà tornare sulla Luna.
Gli scienziati di Houston infatti si sono accorti che nei prossimi viaggi lunari al polo sud, la lunga permanenza degli astronauti all’esterno del modulo lunare potrebbe causare un accumulo di carica elettrostatica sulle tute, che pot…
USA: GUERRA AI DATACENTER
Negli Stati Uniti cominciano le minacce di morte a chi lavora, collabora o autorizza la costruzione di nuovi datacenter.
https://luogocomune.net/news-media/usa-guerra-ai-datacenter
IL MEDIOEVO A STELLE E STRISCE
Una delle immagini più agghiaccianti della Rivoluzione Francese è quella delle “tricoteuses”, le donne parigine che sedevano tranquillamente in piazza a sferruzzare, a pochi metri dal patibolo, mentre assistevano alle decapitazioni dei condannati a morte.
Il 3 di dicembre in Texas ci sarà l’esecuzione di Nidal Hasan, un ex-militare colpevole di aver ucciso 13 suoi colleghi nel 2009. L…
IL VIZIETTO DI NETANYAHU
E’ dal lontano 1996 che Benjamin Netanyahu ha scoperto quale grande aiuto gli possa dare il terrorismo jihadista. Anzi, sembra proprio che Netanyahu abbia il “potere” di generare attentati islamici ad hoc, ogni volta che ne ha bisogno politicamente.
Accadde nel ‘96, quando Netanyahu si candidò per la prima volta a governare il paese. Pur essendo molto indietro nei sondaggi rispetto al labur…
LA RANA BOLLITA… NEL GASOLIO
Vorrei invitarvi ad una riflessione semplice semplice: due mesi fa bestemmiavamo in ogni lingua conosciuta perchè il gasolio era arrivato a due euro. Oggi la gente si accapiglia ai distributori per riuscire ad essere fra i “privilegiati” che fanno il pieno a 2.19.
Sono solo io che sento odore di rana bollita? E’ possibile che gli italiani accettino sempre tutto così passivamente, senza …
👏1,290👍311❤71💯41🙈26😭18🤷♂13💊7
Showing the 12 most recent of 44 posts we hold for @luogocomune2. 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 1 registered channel — 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 26 August 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.
IppocrateOrg @IppocrateOrg · 34,184 Telegram ranks this channel #3 of 79 here — alongside 78 others — read 3 September 2026
CORVELVA @corvelva1993 · 37,156 Telegram ranks this channel #4 of 77 here — alongside 76 others — read 1 September 2026
Border Nights (ufficiale) @BorderNightsOfficial · 27,144 Telegram ranks this channel #6 of 87 here — alongside 86 others — read 11 September 2026
Silver Nervuti @silvernervuti · 42,233 Telegram ranks this channel #7 of 81 here — alongside 80 others — read 29 August 2026
Eventi Avversi News @evncov · 52,337 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 24 August 2026
Matteo Gracis @matteogracis · 143,799 Telegram ranks this channel #7 of 94 here — alongside 93 others — read 17 August 2026
MePiù - Informazione Indipendente @mepiu · 20,686 Telegram ranks this channel #8 of 82 here — alongside 81 others — read 25 September 2026
Il Vaso di Pandora @IVDPandora · 20,429 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 27 September 2026
⚗ DIOSSIDO di CLORO 🇮🇹 CD/CDS/MMS @ildiossidodicloro · 27,909 Telegram ranks this channel #10 of 67 here — alongside 66 others — read 10 September 2026
METODO DI BELLA @METODO_DI_BELLA · 20,637 Telegram ranks this channel #11 of 83 here — alongside 82 others — read 26 September 2026
ALI - Avvocati Liberi @avvocati_liberi · 21,345 Telegram ranks this channel #11 of 79 here — alongside 78 others — read 24 September 2026
Franco Fracassi Giornalista Indipendente @Franco_Fracassi · 43,799 Telegram ranks this channel #11 of 90 here — alongside 89 others — read 28 August 2026
Coordinamento 15 ottobre @Coordinamento_15_ottobre · 25,553 Telegram ranks this channel #15 of 88 here — alongside 87 others — read 13 September 2026
In Telegram Veritas @In_Telegram_Veritas · 33,666 Telegram ranks this channel #15 of 78 here — alongside 77 others — read 3 September 2026
𝗗𝗜𝗦𝗜𝗡𝗙𝗢𝗥𝗠𝗔𝗭𝗜𝗢𝗡𝗘.𝗜𝗧 - Marcello Pamio @marcellopamio · 69,606 Telegram ranks this channel #15 of 84 here — alongside 83 others — read 21 August 2026
Paolo Bellavite @PaoloBellavite · 31,258 Telegram ranks this channel #17 of 83 here — alongside 82 others — read 6 September 2026
Danni Collaterali @dannicollateralivaccinocovid · 28,400 Telegram ranks this channel #18 of 82 here — alongside 81 others — read 9 September 2026
RA/Avv. DDr. Renate Holzeisen @renateholzeisen · 33,574 Telegram ranks this channel #18 of 76 here — alongside 75 others — read 3 September 2026
C.Li.Va. Toscana @clivatoscana · 21,357 Telegram ranks this channel #20 of 83 here — alongside 82 others — read 23 September 2026
Marco Mori @marcomoriofficial · 21,954 Telegram ranks this channel #21 of 80 here — alongside 79 others — read 21 September 2026
Facciamo Finta Che @facciamofintache · 21,303 Telegram ranks this channel #23 of 75 here — alongside 74 others — read 23 September 2026
𝗔𝗡𝗗𝗥𝗘𝗔 𝗧𝗢𝗦𝗔𝗧𝗧𝗢 𝗢𝗙𝗙𝗜𝗖𝗜𝗔𝗟 @AndreaTosattoOfficial · 23,331 Telegram ranks this channel #25 of 81 here — alongside 80 others — read 18 September 2026
Avv. Mauro Sandri @Avv_Mauro_Sandri_MODULI · 47,954 Telegram ranks this channel #29 of 76 here — alongside 75 others — read 3 September 2026
La nuova normalità @lanuovanormalita · 34,336 Telegram ranks this channel #31 of 82 here — alongside 81 others — read 3 September 2026
This channel appears in 45 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Luogocomune2” (@luogocomune2), 48,679 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/luogocomune2.
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.
