Education — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. 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 (5 of the pairs behind the counts below)
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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 6 comparable posts for this entry, running 3 August 2026 to 6 August 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).
Across the whole group of 2, the earliest publisher we hold is @ventusfloremlife — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
31 measurements spanning 42 days, net +350. 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 85,312–86,447 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 10:56
85,820
+201
16 Sept 2026, 01:19
85,619
-38
14 Sept 2026, 05:21
85,657
-9
12 Sept 2026, 13:57
85,666
-27
10 Sept 2026, 09:20
85,693
+3
7 Sept 2026, 06:39
85,690
+18
4 Sept 2026, 14:17
85,672
+56
3 Sept 2026, 02:14
85,616
+40
1 Sept 2026, 21:13
85,576
-55
31 Aug 2026, 21:27
85,631
-71
30 Aug 2026, 23:44
85,702
-55
30 Aug 2026, 00:49
85,757
-72
29 Aug 2026, 04:11
85,829
-91
28 Aug 2026, 04:12
85,920
-86
27 Aug 2026, 03:46
86,006
-92
26 Aug 2026, 03:59
86,098
-45
25 Aug 2026, 03:12
86,143
-109
23 Aug 2026, 16:13
86,252
+49
22 Aug 2026, 02:26
86,203
+112
20 Aug 2026, 20:43
86,091
first reading
Engagement
81 posts held, back to 3 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 113 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.1%
avg views ÷ 85,820 subscribers
Avg views / post
23,200
26 posts measured
Reaction rate
5.26%
reactions ÷ views · ER floor
Posts in window
26
of 81 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 29 September 2026
Posts held
81 (3 August 2026 – 29 September 2026)
Views total
603,900
Reactions total
31,792
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 00:38 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
≈3,000
Videos
≈314
Links
≈203
Lifetime counters from Telegram’s own channel header, read 30 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
6m 15s
Average length
22s
Measured directly from 17 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
85,728 reactions across 81 posts, in 3 distinct kinds. The most used accounts for 44.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💘
37,805
44.1%
custom 5371075002735017346
31,883
37.2%
custom 5258341074811775856
16,040
18.7%
Custom emoji. 2 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 81 of the 81 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 85,728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 81 most recent posts we hold, published 3 August 2026 to 29 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.
Telegram Stars
Stars received
251
across the posts below
Posts paid on
53
of 81 we hold a reading for · 65%
Most on one post
65
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ventusfloremlife. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 81 most recent posts we hold for this entry, published 3 August 2026 to 29 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
никого обычно не тренирую, но вчера занимались с Лерой Китиной 🖤 будем друг друга тренировать ахахах она меня по танцам (надеюсь сяду на такой же шпагатик), а я ее в залике
увидела как подкачалась подруга на потоках и очень хотела ко мне, ну а я в восторге от ее выступлений и энергии 💔💔💔
красивая фигурка и подтянутое тело это топ, но у меня сильно сушит кожу холод и + скоро отопительный сезон, я запасаюсь средствами 🖤
сейчас любимчик - сухое масло для тела бренда SMORODINA <3
очень сильно выручает, расход не большой но кожа становится шелковой, оч оч красивый финиш без липкости, вот чисто модельные ножки с показа викиных секретов ахахах 🤩
в нем комплекс масел: кокос, макадамия, монгонго, косточки г…
20 часов практики в эти выходные прошли как 2 часа ахаха
теперь я могу разобрать кинематику и механику сопротивления любого тренажера, а это со слов преподавателя "уже больше знаний, чем у 95% тренеров" 😈
я очень довольна, в целом поймала себя на мысли, что тренинг фактически проще и гибче, чем мы его видим в соц.сетях, но для того, чтобы это понять, нужно потратить кратно больше времени, чем просто год или два. пом…
я вчера села за монтаж влога из кореи... так как первый раз снимала влог и еще и на новую камеру, которой я не умела пользоваться, наснимала только всякой фигни и жопы прохожих с ржачными комментариями и признаниями, что я не освоила камеру
я не знаю, получится ли вообще что-то смонтировать из этого вххахахаха я постараюсь, но там около 150 минут материала... я один ролик на минуту с начальным хронометражем в 7 мину…
я и моя еда ням ням ням
вот такие чикенбрге вкусненькие делала, это вообщееее, муж и его друг подумали, что я их купила где-то 😭😭
мне уже дома очень скучно, но я походу еще несколько дней без зала...
приехали новые вещички для зала^^ скоро покажу, а вот пока я монтировала видосики, зашла на первые мои видео и подумала "а как я вообще пережила столько хейта?" в комменты пришлю, я уже и забыла 🥺🥺
сам зал украсили сууууперски, как я хотела: свечи, розы, белая скатерть, все супер классически и аккуратно^^ но то, что понравилось абсолютно всем (нам и гостям) это живая музыка. это было САМЫМ ЛУЧШИМ решением, потому что это был шикарный перфоманс, ненавязчивый и круто вписывался в концепцию свадьбы 🤍
но какая свадьба без драки, правильно? хоть у меня и супер положительные впечатления от нашего дня, я вам расскажу…
Showing the 12 most recent of 81 posts we hold for @ventusfloremlife. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@ventusfloremlife edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
13 August 2026
Most recent edit
13 August 2026
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
Names
Channels on the register whose handles appear in this channel's posts.
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 19 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.
by.alinkins вещает 🐈⬛ @byalinkins · 24,940 Telegram ranks this channel #1 of 68 here — alongside 67 others — read 14 September 2026
Мария Норик |Сделай себя сам @ebashingmama · 30,082 Telegram ranks this channel #1 of 61 here — alongside 60 others — read 8 September 2026
Златушка🍑 @babbiebuttt · 128,676 Telegram ranks this channel #9 of 73 here — alongside 72 others — read 19 August 2026
with yereko @withyereko · 41,002 Telegram ranks this channel #10 of 51 here — alongside 50 others — read 3 September 2026
theolefirenko @theolefirenkooo · 66,007 Telegram ranks this channel #13 of 70 here — alongside 69 others — read 20 August 2026
MILANI SERGEEVNA @pantherkaM · 25,304 Telegram ranks this channel #14 of 77 here — alongside 76 others — read 14 September 2026
IRNBY TRAINING CLUB @irnby_club · 20,922 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 24 September 2026
katyaklish @katyaklish · 21,834 Telegram ranks this channel #16 of 76 here — alongside 75 others — read 22 September 2026
Territory for girls🧚🏻♂️ @diana_mood7 · 38,297 Telegram ranks this channel #18 of 61 here — alongside 60 others — read 7 September 2026
работаем девачки @rabotaem_devachki · 27,219 Telegram ranks this channel #20 of 58 here — alongside 57 others — read 10 September 2026
Карина головного мозга @karinachi14 · 28,603 Telegram ranks this channel #22 of 38 here — alongside 37 others — read 9 September 2026
Kristina Laktionova @laktionovaaaaa · 53,655 Telegram ranks this channel #22 of 71 here — alongside 70 others — read 24 August 2026
FORRCHANCE @forrchance · 29,535 Telegram ranks this channel #24 of 30 here — alongside 29 others — read 8 September 2026
Растяжка с Мари @mari_stretching · 63,756 Telegram ranks this channel #25 of 74 here — alongside 73 others — read 21 August 2026
LAVRISON @lavrisonn · 21,657 Telegram ranks this channel #27 of 48 here — alongside 47 others — read 22 September 2026
annesoul про питание @annesoul1 · 45,453 Telegram ranks this channel #28 of 74 here — alongside 73 others — read 28 August 2026
плксба @plaksiby · 24,848 Telegram ranks this channel #33 of 45 here — alongside 44 others — read 15 September 2026
With love, Alika @withlovealika · 27,646 Telegram ranks this channel #34 of 68 here — alongside 67 others — read 25 September 2026
Арина Рыкова | GYMGIRL @arinarykova · 181,844 Telegram ranks this channel #39 of 67 here — alongside 66 others — read 10 September 2026
rita pérskaya @ritaperskayaa · 41,772 Telegram ranks this channel #40 of 67 here — alongside 66 others — read 28 August 2026
ДАШУЛИК НА СВЯЗИ @chikileva00 · 78,765 Telegram ranks this channel #41 of 56 here — alongside 55 others — read 24 August 2026
🤍 by gubogloo 🤍 @bygubogloo · 62,788 Telegram ranks this channel #42 of 46 here — alongside 45 others — read 25 August 2026
ONLYFITS @onlyfits_club · 22,680 Telegram ranks this channel #43 of 66 here — alongside 65 others — read 20 September 2026
Angela Ignatova @angelaignatova · 28,324 Telegram ranks this channel #45 of 77 here — alongside 76 others — read 10 September 2026
This channel appears in 32 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“жизнь ventus__florem” (@ventusfloremlife), 85,820 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ventusfloremlife.
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.
