Religion — 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 100% 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 2 other registered channels. 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.
Matching posts — open both and compare (6 of the pairs behind the counts below)
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. 21 of the 22 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 621 comparable posts for this entry, running 4 August 2026 to 14 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 @InstitutoHesed. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 15 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.
65 measurements spanning 101 days, net -3,352. 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 41,073–45,431 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
15 Nov 2026, 12:48
41,576
-114
12 Nov 2026, 08:15
41,690
-62
10 Nov 2026, 09:55
41,752
-42
8 Nov 2026, 19:10
41,794
-53
7 Nov 2026, 09:17
41,847
-49
6 Nov 2026, 07:07
41,896
-17
5 Nov 2026, 08:48
41,913
-72
4 Nov 2026, 06:19
41,985
-40
3 Nov 2026, 04:10
42,025
-7
2 Nov 2026, 00:59
42,032
-9
31 Oct 2026, 22:55
42,041
-17
30 Oct 2026, 20:46
42,058
-48
29 Oct 2026, 17:28
42,106
-18
28 Oct 2026, 16:20
42,124
-37
27 Oct 2026, 13:46
42,161
-21
26 Oct 2026, 14:59
42,182
-29
25 Oct 2026, 13:45
42,211
-57
24 Oct 2026, 16:26
42,268
-19
23 Oct 2026, 18:57
42,287
-41
22 Oct 2026, 20:07
42,328
first reading
Engagement
625 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.62%
avg views ÷ 41,576 subscribers
Avg views / post
1,090
169 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
169
of 625 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 15 November 2026
Posts held
625 (4 August 2026 – 15 November 2026)
Views total
184,327
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 09:54 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 169 posts held from the last 30 days (1.18%) 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).
Não deixe que a preguiça enterre os dons que Deus confiou a você!
Siga estes 5 conselhos e vença de uma vez por todas o que impede você de agir
🔗 https://hesed.link/hswdr8
⚜️ Nossa Senhora de Pompeia, socorrei nossas famílias! Onde falta diálogo, cresça o amor; onde há divisão, floresça a reconciliação. Vem suplicar conosco!
👉🏻 https://hesed.link/98rdxj
🤍 As ruínas não eram tudo o que havia para contemplar: Deus mostrou a Ezequiel um templo.
Neste Santo Rosário, apresente ao Senhor aquilo que você deseja ver restaurado!
🔗 https://hesed.link/sxv48f
Você espera uma resposta de Deus, mas Jesus também faz uma pergunta: E ela revela algo sobre o que você está vivendo!
Antes de desistir de rezar, escute 👇🏻
https://hesed.link/hm59qj
🛡️ Qual passo de fé você ainda precisa dar?
Com Nossa Senhora do Desterro, abra o coração para agir conforme a vontade de Deus!
🔗https://hesed.link/c95qzg
⚜️ Por quem você deseja rezar hoje?
Traga esse nome para a Novena de Pompeia. Unidos em oração, peçamos a graça de um novo começo!
👉🏻 https://hesed.link/js2jcw
Já parou para pensar que há algo que só você pode oferecer para Nossa Senhora
Descubra no 5º dia do conhecimento da Virgem Maria. Seu próximo encontro com ela será diferente!
🔗https://hesed.link/9gtrfp
As águas ficaram profundas demais para Ezequiel atravessar a pé…
👉🏻 Há momentos em que nossos próprios passos não bastam. Vem rezar o Santo Rosário e confiar a Deus aquilo que ultrapassa suas forças!
🔗 https://hesed.link/sd8gcv
E se, de repente, tudo mudasse? Será que você está vivendo de verdade? Repense suas escolhas e deixe o que realmente importa tocar seu coração. Escute 👇🏻
https://hesed.link/2kk7sw
⚔️ Diante da ameaça, Deus abre os caminhos
É o que vemos desde a história de Nossa Senhora do Desterro até hoje: vem confiar sua família à intercessão dessa boa Mãe!
🔗https://hesed.link/f57zkj
Showing the 12 most recent of 625 posts we hold for @exercitodesaomiguel. 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.
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 5 October 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.
Canção Nova @cancaonova · 18,432 Telegram ranks this channel #35 of 74 here — alongside 73 others — read 5 October 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 15 November 2026 — this
entry's latest reading, not the date you are reading this.
“🛡⚔️ Exército de São Miguel - Hesed” (@exercitodesaomiguel), 41,576 subscribers as measured 15 November 2026. Telegram Register, tgregister.com/channel/exercitodesaomiguel.
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.
