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 28 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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.
Previous handles
@paslovop was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@paslovoppp held 1 September 2026 – 1 September 2026
Growth
8 measurements spanning 32 days, net +79. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Oct 2026, 22:38
105
+39
2 Oct 2026, 03:22
66
no change
19 Sept 2026, 17:55
66
+3
17 Sept 2026, 13:37
63
+29
10 Sept 2026, 12:21
34
+30
2 Sept 2026, 03:00
4
-22
1 Sept 2026, 22:45
26
no change
1 Sept 2026, 22:15
26
first reading
Engagement
34 posts held, back to 15 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 2 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
123.5%
avg views ÷ 105 subscribers
Avg views / post
130
20 posts measured
Reaction rate
12.7%
reactions ÷ views · ER floor
Posts in window
20
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. It is computed over the 12 of 20 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 1 October 2026
Posts held
34 (15 June 2026 – 1 October 2026)
Views total
2,594
Reactions total
252
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 03:22 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
5m 19s
Average length
23s
Measured directly from 14 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
351 reactions across 26 posts, in 22 distinct kinds. The most used accounts for 14.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5201737194011667884
49
14.0%
❤
47
13.4%
custom 5202115284277702861
43
12.3%
custom 5463271938942081725
25
7.12%
custom 5404582830044915692
24
6.84%
custom 5201674319985421611
23
6.55%
custom 5418295904706772802
22
6.27%
custom 5462997404632517443
22
6.27%
custom 5465488747657201934
22
6.27%
custom 5427007970988800270
15
4.27%
custom 5426872241432334467
13
3.70%
custom 5230946012461287745
9
2.56%
💋
8
2.28%
custom 5469765998213091801
7
1.99%
❤🔥
7
1.99%
💘
5
1.42%
🕊
3
0.855%
custom 5231096267597170599
2
0.57%
custom 5231352234763112923
2
0.57%
custom 5230977902593462340
1
0.285%
2 further kinds
2
0.57%
Custom emoji. 15 of the rows above are 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 are Telegram’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 26 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 351 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 15 June 2026 to 1 October 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.
☺️ссоциации от ☺️иши
– 🔤иш, а какие именно?
🤩🤩🤩🤩🤩🤩– а ща расскажу ))
короче, суть! вы мне в анон кидаете скрин своего тгк и юз(обязательно), а я составляю ассоциации:
. • какой вы перс из, мною
просмотренных, аниме
. • допом накину, какая
вы песня из моего плейлиста )
а с вас:
. • соо мне в анон
. • рп в канал
. • рк по желанию
. • хорошее настроение!
свой выбор я, конечно, объясню
принимаю до стопа!
🔤тоги сентября
в отношениях? – нет
хочешь отношения? – нет
нравишься ли кому-то? – наверное...
нравится кто то? – да
лучшая или худшая версия себя? – чето между праймом и дном
насколько счастлива – 3/10
куришь/пьешь – курю
внешность – 7/10
характер – 9/10
желание общаться – 8/10
что-то вернуть – да
состояние – а можно без ответа
любовь к окружению – 10/10
усталость – 10/10
желание вести канал – 6/10
пока живем, нор…
Showing the 12 most recent of 34 posts we hold for @paslovop. 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.
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“рест | ниша делает мясо” (@paslovop), 105 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/paslovop.
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.
