Personal blog — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 84% 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.
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.
Views per post sit far above this size band
524,000 average views per post against 1,059,274 subscribers — an engagement rate of 49.4%. Across the 409 registered channels in the same cohort — 1,000,322–15,677,747 subscribers — the middle half sit between 0.962% and 8.28%, with a median of 2.83%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
11 of 11 published in the window (0 exact, 11 rounded by Telegram)
Views totalled
5,759,000
Mature posts only
53.1% over 10 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 key err_high, last confirmed 12 August 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.
Growth
8 measurements spanning 7 days, net -1,585. 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 1,058,987–1,061,473 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 16:27
1,059,274
-504
11 Aug 2026, 18:43
1,059,778
-574
10 Aug 2026, 18:21
1,060,352
-148
9 Aug 2026, 19:51
1,060,500
-486
8 Aug 2026, 17:43
1,060,986
-200
7 Aug 2026, 19:13
1,061,186
+100
6 Aug 2026, 15:50
1,061,086
+227
6 Aug 2026, 00:53
1,060,859
first reading
Engagement
20 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
49.8%
avg views ÷ 1,059,274 subscribers
Avg views / post
528,000
11 posts measured
Reaction rate
6.13%
reactions ÷ views · ER floor
Posts in window
11
of 20 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 12 August 2026
Posts held
20 (12 June 2026 – 12 August 2026)
Views total
5,805,000
Reactions total
355,599
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 22:02 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
≈2,240
Videos
≈969
Links
≈562
Lifetime counters from Telegram’s own channel header, read 12 August 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
3 most recently posted, with a view-velocity reading
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed viewsis the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
794,755 reactions across 20 posts, in 2 distinct kinds. The most used accounts for 94.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
750,700
94.5%
👎
44,055
5.54%
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 20 of the 20 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 794,755reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 12 June 2026 to 12 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.
Мне кажется, этот роадтрип по США уже стал главным моментом нашего лета 🥹
Столько дорог, случайных остановок, красивых мест и наших с Каей фоток, которые теперь хочется пересматривать постоянно. Часть моментов сняли на лимитированную плёнку РИИЛ × ЛУЧ с красивыми засветами. Так всё выглядит ещё теплее, будто это уже воспоминания из какого-то фильма)
Такую плёнку можно выиграть в игре, а лучшие кадры ещё могут попас…
НОВОЕ ВИДЕО!
Мы встретили столько знаменитостей на ЧМ-2026, что сами не ожидали… Как прошла наша неделя в США?
Смотрите по ссылке:
https://youtu.be/b1-7yuuvL0U?is=mr9GgQAfoJUhExa4
Помимо футбола, мы конечно же снимали основной контент ЖРАЛИ!
Москва наконец-то начала радовать солнцем, а я наконец-то начал пользоваться SPF не только в путешествиях ))))
Сейчас таскаю с собой Sun Can’t Touch Me SPF 30 от THE U. Он лёгкий, не выбеливает лицо и не ощущается как слой крема, что для меня самое важное)
Плюс там ниацинамид и комплекс для проблемной кожи, так что это ещё и нормальный уход на каждый день.
Наношу перед выходом и спокойно катаюсь по городу весь ден…
Showing the 12 most recent of 20 posts we hold for @paradeevich. 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 — 17,440 of 1,084,084entries 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
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 18 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 8 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.
ХАЗЯЕВА В МОМЕНТЕ @xazayeva · 365,804 Telegram ranks this channel #3 of 54 here — alongside 53 others — read 10 August 2026
ГЛЕБАС @glebaseey · 173,270 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 12 August 2026
Derzko69 @gigaderzko69 · 232,453 Telegram ranks this channel #8 of 56 here — alongside 55 others — read 11 August 2026
Алексей Столяров блогер @Stolyaric · 271,440 Telegram ranks this channel #8 of 60 here — alongside 59 others — read 10 August 2026
Влад Бумага A4 @A4omg · 450,148 Telegram ranks this channel #8 of 64 here — alongside 63 others — read 10 August 2026
Екатерина Мизулина @ekaterina_mizulina · 925,251 Telegram ranks this channel #9 of 70 here — alongside 69 others — read 8 August 2026
Бустер 🍄 @bigpencil · 1,202,240 Telegram ranks this channel #9 of 67 here — alongside 66 others — read 8 August 2026
tenderlybae💔 @plsbetenderly · 229,976 Telegram ranks this channel #10 of 49 here — alongside 48 others — read 11 August 2026
DILARA @dilalara753 · 276,261 Telegram ranks this channel #10 of 56 here — alongside 55 others — read 10 August 2026
PLOHOY PAREN @plohoypacan · 385,886 Telegram ranks this channel #10 of 61 here — alongside 60 others — read 10 August 2026
Бузова @byzovahouse · 413,514 Telegram ranks this channel #10 of 72 here — alongside 71 others — read 10 August 2026
ЕГОР КРИД @egorkreed · 768,536 Telegram ranks this channel #10 of 60 here — alongside 59 others — read 8 August 2026
STOPBAN OFFICIAL @stopbaba · 179,815 Telegram ranks this channel #11 of 59 here — alongside 58 others — read 12 August 2026
каечка @bykae4ka · 203,638 Telegram ranks this channel #11 of 57 here — alongside 56 others — read 11 August 2026
VEIGEL @adelveigelll · 234,930 Telegram ranks this channel #11 of 54 here — alongside 53 others — read 11 August 2026
Даник и Тайная комната @dikiidanik · 428,287 Telegram ranks this channel #11 of 59 here — alongside 58 others — read 10 August 2026
Eva Miller🏄🏼♀️ @evamillershaaa · 169,950 Telegram ranks this channel #12 of 47 here — alongside 46 others — read 12 August 2026
В гостях у Булыча @bulkin_live · 923,589 Telegram ranks this channel #12 of 69 here — alongside 68 others — read 8 August 2026
Влад Раговский @GABARITVLAD · 203,035 Telegram ranks this channel #14 of 55 here — alongside 54 others — read 11 August 2026
INSTASAMKA @instasamkacore · 445,402 Telegram ranks this channel #14 of 58 here — alongside 57 others — read 10 August 2026
ДАНИЛА ГОРИЛЛА 🦍 @danila_gorilla · 646,532 Telegram ranks this channel #14 of 61 here — alongside 60 others — read 8 August 2026
Тесты и точка. @test_dot · 527,113 Telegram ranks this channel #15 of 65 here — alongside 64 others — read 9 August 2026
Кореш @koreshzy · 831,072 Telegram ranks this channel #16 of 63 here — alongside 62 others — read 11 August 2026
Логово Внизу @nebudetgg · 502,367 Telegram ranks this channel #16 of 62 here — alongside 61 others — read 9 August 2026
This channel appears in 252 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.
Domains linked from posts
2 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“ПАРАДЕЕВИЧ” (@paradeevich), 1,059,274 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/paradeevich.
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.
