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 and reactions moved apart
On 5 of the 13 posts we watched over 30 days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.0917 reactions per view.
Each interval, as we read it — views and reactions before and after
Expected is the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say. It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the key view_reaction_decoupling, last confirmed 25 September 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
35 measurements spanning 50 days, net -1,463. 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 1,048,672–1,062,818 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
25 Sept 2026, 03:21
1,059,396
-79
18 Sept 2026, 19:38
1,059,475
+4,245
16 Sept 2026, 13:01
1,055,230
+3,443
14 Sept 2026, 17:16
1,051,787
-106
13 Sept 2026, 02:01
1,051,893
+1,589
11 Sept 2026, 03:18
1,050,304
-1,360
8 Sept 2026, 04:41
1,051,664
-1,389
5 Sept 2026, 00:21
1,053,053
-758
3 Sept 2026, 07:38
1,053,811
-567
2 Sept 2026, 00:34
1,054,378
-518
1 Sept 2026, 00:46
1,054,896
-386
31 Aug 2026, 03:07
1,055,282
-446
30 Aug 2026, 02:58
1,055,728
-559
29 Aug 2026, 04:55
1,056,287
-453
28 Aug 2026, 01:36
1,056,740
+39
27 Aug 2026, 04:18
1,056,701
+106
26 Aug 2026, 02:13
1,056,595
+39
25 Aug 2026, 04:36
1,056,556
-199
24 Aug 2026, 04:44
1,056,755
-663
22 Aug 2026, 13:34
1,057,418
first reading
Engagement
34 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 110 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
45.5%
avg views ÷ 1,059,396 subscribers
Avg views / post
482,000
13 posts measured
Reaction rate
16.9%
reactions ÷ views · ER floor
Posts in window
13
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 24 September 2026
Posts held
34 (12 June 2026 – 24 September 2026)
Views total
6,267,000
Reactions total
1,056,728
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 04:05 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
≈2,250
Videos
≈990
Links
≈567
Lifetime counters from Telegram’s own channel header, read 26 September 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.
Video runtime
1m 17s
Average length
13s
Measured directly from 6 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.
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.
Computed from 13 of this channel’s own posts over the last 30 days (1 of the 24-hour readings behind this are interpolated, not measured directly): across 12 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 21 hours of being posted; a typical post has already reached 37.9% of its 24-hour view count within the first hour, and 78.5% within the first six; the median 24-hour reach across those posts is 200,616 views — 18.9% of this channel’s own subscriber count (90th percentile 246,600).
8 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 views is 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
1,951,097 reactions across 34 posts, in 2 distinct kinds. The most used accounts for 89.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,735,790
89.0%
👎
215,307
11.0%
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 34 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 1,951,097 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 12 June 2026 to 24 September 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.
Advertising
Ad load
2.94%
1 of 34 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
766,000
over 1 measured post
Median views · rest
680,000
over 33 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 34 most recent posts we hold, published 12 June 2026 to 24 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Прямо сейчас я стою в ванной и мечтаю о сочном бургере из Lovin… А кто-то в эту самую секунду стоит в очереди, забирает свой заказ и совсем скоро попробует его впервые. (немного вам завидую😠)
А буквально в нескольких шагах кто-то стоит на кассе Abuse, выбирает ту самую футболку или зипку на осень. (тут уже не сильно завидую - у меня есть 😏)
Вообще, каждый раз невероятно осознавать, что места и вещи, которые когда-т…
Всем привет!
Хочу поделиться не самой приятной, но, возможно, полезной для кого-то информацией.
В начале лета у меня обнаружили рак щитовидной железы, 2-я стадия с проникновением метастазов в лимфу.
Из хороших моментов - это один из самых лёгких и излечимых видов рака.
Почти всё лето я провёл на лечении, позади две операции и радиойодтерапия (Йод-131).
Всё закончилось чуть больше месяца назад. В целом перенёс лечен…
Часть 1 нового сентябрьского дропа в продаже — на сайте и в магазине
👉 Перейти на сайт 👈
👉 Перейти на сайт 👈
👉 Перейти на сайт 👈
Москва — Кривоколенный пер., 3
❤10,400👎695
Showing the 12 most recent of 34 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.
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 22 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.
solutions @solutions · 53,710 Telegram ranks this channel #2 of 46 here — alongside 45 others — read 25 August 2026
Асфальт @asfalt222 · 82,434 Telegram ranks this channel #2 of 52 here — alongside 51 others — read 18 August 2026
Кукояка @kukoyaka · 89,687 Telegram ranks this channel #2 of 60 here — alongside 59 others — read 16 August 2026
Я Ириска @iriskalimei · 87,990 Telegram ranks this channel #3 of 52 here — alongside 51 others — read 17 August 2026
ХАЗЯЕВА В МОМЕНТЕ @xazayeva · 368,952 Telegram ranks this channel #3 of 54 here — alongside 53 others — read 10 August 2026
SHTOLL @itsshtoll · 32,983 Telegram ranks this channel #4 of 53 here — alongside 52 others — read 4 September 2026
Родион Гриневич @grinevichh · 50,729 Telegram ranks this channel #4 of 59 here — alongside 58 others — read 3 September 2026
ФРАМЕ ТАМЕР @oieiei · 685,689 Telegram ranks this channel #4 of 62 here — alongside 61 others — read 16 August 2026
ЧУГУНДА @chugunda · 91,972 Telegram ranks this channel #4 of 64 here — alongside 63 others — read 16 August 2026
Вкусно — и точка @vit_russia · 288,310 Telegram ranks this channel #4 of 69 here — alongside 68 others — read 15 August 2026
Никуша Жукова >>> @nikazhukova_official · 28,929 Telegram ranks this channel #5 of 58 here — alongside 57 others — read 19 September 2026
Bikovic @MilosBikovic · 24,975 Telegram ranks this channel #5 of 64 here — alongside 63 others — read 15 September 2026
ХАЗЯЕВА ТВИЧА @xazayevatyt · 3 Telegram ranks this channel #5 of 46 here — alongside 45 others — read 11 September 2026
ALISHA @ALISHAALIAHAALISHA · 43,213 Telegram ranks this channel #5 of 49 here — alongside 48 others — read 5 September 2026
бейбиэкочка @babyekka1 · 62,143 Telegram ranks this channel #5 of 53 here — alongside 52 others — read 25 August 2026
григокон @grigokon1 · 73,594 Telegram ranks this channel #6 of 60 here — alongside 59 others — read 25 August 2026
ГОРИЛЬЯ БРОНЯ @gorilla_armor · 71,843 Telegram ranks this channel #6 of 61 here — alongside 60 others — read 20 August 2026
🍒inst_rinna🍒 @inst_rinnaa · 275,871 Telegram ranks this channel #6 of 61 here — alongside 60 others — read 17 August 2026
БетМены @betboom_3boys · 101,965 Telegram ranks this channel #6 of 68 here — alongside 67 others — read 15 August 2026
ГЛЕБАС @glebaseey · 167,331 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 12 August 2026
векши @vekshy08 · 31,106 Telegram ranks this channel #7 of 35 here — alongside 34 others — read 13 September 2026
Анжик 🎀 @angikkkkkk · 39,331 Telegram ranks this channel #7 of 34 here — alongside 33 others — read 6 September 2026
Рустам @fakelrs · 56,117 Telegram ranks this channel #7 of 65 here — alongside 64 others — read 26 August 2026
MIKE SOTNIKOV 🃏- Михаил Сотников @mike_sotnikov · 63,204 Telegram ranks this channel #7 of 60 here — alongside 59 others — read 21 August 2026
This channel appears in 889 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 domains this 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“ПАРАДЕЕВИЧ” (@paradeevich), 1,059,396 subscribers as measured 25 September 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.
