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Telegram profile photo for PASTOR NAPAS

Channel

PASTOR NAPAS

@pastornapas

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

5,502subscribers

+13 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001250742582
TypeChannel
Username@pastornapas
CreatedBetween 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/pastornapas

Growth

5,4895,5035,4966 August 2026 — 5,489 subscribers7 August 2026 — 5,496 subscribers10 August 2026 — 5,503 subscribers14 August 2026 — 5,502 subscribers5,5026 August 202614 August 2026
4 measurements spanning 7 days, net +13. 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 5,487–5,505 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 02:155,502-1
10 Aug 2026, 11:345,503+7
7 Aug 2026, 08:215,496+7
6 Aug 2026, 15:345,489first reading

Engagement

10 posts held, back to 11 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.0%
avg views ÷ 5,502 subscribers
Avg views / post
1,540
9 posts measured
Reaction rate
4.47%
reactions ÷ views · ER floor
Posts in window
9
of 10 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
WindowRolling 30 days · latest post in window 10 August 2026
Posts held10 (11 July 202610 August 2026)
Views total13,885
Reactions total621
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:11 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

Video runtime
2m 29s
Average length
30s

Measured directly from 5 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

745 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 65.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 532100467343021403548565.1%
custom 521298619869116760415020.1%
custom 5213307200251905791304.03%
custom 5219794026798003901283.76%
custom 5219856960953793656202.68%
custom 522006345439145234191.21%
custom 537323394535575533091.21%
custom 535030760320324286070.94%
custom 546534564793680856070.94%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 10 of the 10 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 745reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 11 July 2026 to 10 August 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

10 Aug 2026, 06:48 UTC≈1,280 views79 reactionsread 12 August 2026
Photo

Tankograd Underground 📸 @mcyoungsheng

custom 532100467343021403557custom 521298619869116760414custom 52198569609537936566custom 52133072002519057911custom 52197940267980039011

8 Aug 2026, 10:01 UTC835 views52 reactionsread 12 August 2026
Photo

КОНКРЕТИКА

custom 532100467343021403542custom 52197940267980039019custom 52133072002519057911

6 Aug 2026, 05:49 UTC≈1,290 views103 reactionsread 12 August 2026
Video

🎬ТАК НАДО

custom 532100467343021403576custom 521298619869116760421custom 52133072002519057915custom 54653456479368085601

3 Aug 2026, 14:55 UTC≈1,410 views97 reactionsread 12 August 2026
Video

Live in Perm’26

custom 532100467343021403562custom 521298619869116760421custom 53732339453557553309custom 52197940267980039015

1 Aug 2026, 18:10 UTC≈1,560 views54 reactionsread 12 August 2026
Forwarded from @razdorartPhoto

Новая работа для the dawless Как обычно совмещал стилизованную 3д графику и плоские рисунки. На листочке накалякал прикольные текстурки для фонов. Очень нравится, что от них веет старыми комиксами типо хелбоя. (в комменты закинул текстуры доками, если кому-то надо)

custom 532100467343021403534custom 521298619869116760413custom 53503076032032428607

1 Aug 2026, 15:49 UTC≈1,320 views26 reactionsread 12 August 2026
Forwarded from @Thedawless

КСТАТИ, НАМ ДИМАН РАЗДОР ОЧЕНЬ КРУТОЙ МУЛЬТ ЗАМУТИЛ 👇🏻 СМОТРЕТЬ

custom 532100467343021403515custom 521298619869116760410custom 52133072002519057911

27 Jul 2026, 16:47 UTC≈1,670 views45 reactionsread 12 August 2026
Forwarded from @Thedawless

THE DAWLESS, PASTOR NAPAS, TVETH — MAD WORLD ART BY JERKOFF MIX MASTER @sashaskomy СЛУШАТЬ ВЕЗДЕ

custom 532100467343021403531custom 521298619869116760410custom 52200634543914523412custom 54653456479368085602

19 Jul 2026, 09:14 UTC≈2,750 views106 reactionsread 12 August 2026
Photo

танкоград андеграунд 🏴‍☠️

custom 532100467343021403559custom 521330720025190579122custom 521298619869116760413custom 521985696095379365612

18 Jul 2026, 08:02 UTC≈1,770 views59 reactionsread 12 August 2026
Forwarded from @daribtsPhoto

САРАТОВ 🔁

custom 532100467343021403539custom 521298619869116760413custom 52200634543914523417

11 Jul 2026, 12:48 UTC≈1,960 views124 reactionsread 6 August 2026
Forwarded from @jonesgrifaVideo message

Video message, posted without a caption

custom 532100467343021403570custom 521298619869116760435custom 521979402679800390113custom 54653456479368085604custom 52198569609537936562

Showing the 10 most recent of 10 posts we hold for @pastornapas. 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.

Citation-graph rank

Citation-graph rank — 62,165 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 10 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“PASTOR NAPAS” (@pastornapas), 5,502 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/pastornapas.

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.