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Channel

LAVRISON

@lavrisonn

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

21,201subscribers

-1,174 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001728817074
TypeChannel
Username@lavrisonn
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live31 October 2026
Measurements held53
Confirmed unchanged1 time, most recently 31 October 2026
On Telegramt.me/lavrisonn

Topic

Personal blog — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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 the other topics.

Growth

21,20122,37521,7887 August 2026 — 22,375 subscribers8 August 2026 — 22,371 subscribers9 August 2026 — 22,355 subscribers10 August 2026 — 22,340 subscribers11 August 2026 — 22,319 subscribers12 August 2026 — 22,308 subscribers13 August 2026 — 22,284 subscribers14 August 2026 — 22,272 subscribers15 August 2026 — 22,235 subscribers17 August 2026 — 22,211 subscribers18 August 2026 — 22,225 subscribers19 August 2026 — 22,224 subscribers20 August 2026 — 22,201 subscribers21 August 2026 — 22,210 subscribers22 August 2026 — 22,186 subscribers24 August 2026 — 22,177 subscribers25 August 2026 — 22,163 subscribers26 August 2026 — 22,134 subscribers27 August 2026 — 22,118 subscribers28 August 2026 — 22,093 subscribers29 August 2026 — 22,081 subscribers30 August 2026 — 22,073 subscribers31 August 2026 — 22,078 subscribers1 September 2026 — 22,045 subscribers2 September 2026 — 22,035 subscribers3 September 2026 — 22,111 subscribers5 September 2026 — 22,064 subscribers9 September 2026 — 22,011 subscribers11 September 2026 — 21,939 subscribers13 September 2026 — 21,913 subscribers15 September 2026 — 21,874 subscribers17 September 2026 — 21,839 subscribers26 September 2026 — 21,657 subscribers4 October 2026 — 21,544 subscribers8 October 2026 — 21,501 subscribers13 October 2026 — 21,404 subscribers14 October 2026 — 21,386 subscribers15 October 2026 — 21,359 subscribers16 October 2026 — 21,332 subscribers17 October 2026 — 21,310 subscribers18 October 2026 — 21,307 subscribers19 October 2026 — 21,317 subscribers20 October 2026 — 21,311 subscribers21 October 2026 — 21,305 subscribers22 October 2026 — 21,294 subscribers24 October 2026 — 21,271 subscribers25 October 2026 — 21,264 subscribers26 October 2026 — 21,254 subscribers28 October 2026 — 21,251 subscribers29 October 2026 — 21,248 subscribers29 October 2026 — 21,245 subscribers30 October 2026 — 21,225 subscribers31 October 2026 — 21,201 subscribers7 August 202631 October 2026
53 measurements spanning 85 days, net -1,174. 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 21,025–22,551 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)SubscribersChange
31 Oct 2026, 19:1921,201-24
30 Oct 2026, 20:2821,225-20
29 Oct 2026, 23:5521,245-3
29 Oct 2026, 02:5821,248-3
28 Oct 2026, 01:3721,251-3
26 Oct 2026, 04:3621,254-10
25 Oct 2026, 01:5621,264-7
24 Oct 2026, 00:3021,271-23
22 Oct 2026, 21:3421,294-11
21 Oct 2026, 15:4521,305-6
20 Oct 2026, 13:5621,311-6
19 Oct 2026, 16:3921,317+10
18 Oct 2026, 19:4121,307-3
17 Oct 2026, 19:2121,310-22
16 Oct 2026, 15:4021,332-27
15 Oct 2026, 18:0121,359-27
14 Oct 2026, 16:1621,386-18
13 Oct 2026, 07:1621,404-97
8 Oct 2026, 23:4121,501-43
4 Oct 2026, 12:1721,544first reading

Engagement

31 posts held, back to 21 July 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 66 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.6%
avg views ÷ 21,201 subscribers
Avg views / post
3,940
3 posts measured
Reaction rate
3.66%
reactions ÷ views · ER floor
Posts in window
3
of 31 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 October 2026
Posts held31 (21 July 2026 – 10 October 2026)
Views total11,830
Reactions total433
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 13:05 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

Video runtime
4s
Average length
4s

Measured directly from 1 video 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

5,977 reactions across 31 posts, in 7 distinct kinds. The most used accounts for 62.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,71862.2%
❤‍🔥89415.0%
custom 524946313689276314888214.8%
🔥4727.90%
🤯70.117%
😭30.05%
💔10.017%

Custom emoji. One 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 count beside it is 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 31 of the 31 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 5,977 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 21 July 2026 to 10 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.

Telegram Stars

Stars received
4
across the posts below
Posts paid on
3
of 31 we hold a reading for · 10%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lavrisonn. 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 31 most recent posts we hold for this entry, published 21 July 2026 to 10 October 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.

Recent posts

10 Oct 2026, 14:21 UTC≈2,410 views137 reactionsread 12 October 2026
Photo

📍Монастырь Гегард (1,2,5), Храм Гарни (4,7,9), Симфония камней (1,6,8). В один день посетили сразу три места, и каждое из них безумно понравилось, но храмы особенно! Я вообще обожаю религиозную и храмовую тематику/эстетику (если так можно сказать), причем любых конфессий. Считаю, что туда надо даже не верующим, особенно когда речь о культурных памятниках! Во-первых, это дико красиво, во-вторых, в любом храме есть к…

❤96🔥27custom 524946313689276314811❤‍🔥3

9 Oct 2026, 09:25 UTC≈3,400 views116 reactionsread 12 October 2026
Photo

В сторис уже публикую фотки отсюда, а тут все никак не дойдут руки… исправляемся! Ереван, – мне кажется, он чем-то похож на Краснодар, только более ухоженный: днем жарко, не очень прогулочно и тесновато, зато вечером шикарно. Красивущие здания из туфа (это национальный символ армянской архитектуры, 90% мировых запасов всего камня лежат именно в Армении), подсветка, куча кафешек и магазинов, Каскад. Отдельный востор…

❤76custom 524946313689276314819❤‍🔥17🔥4

3 Oct 2026, 12:43 UTC≈6,020 views180 reactionsread 12 October 2026
Photo

Свадебное платье Каролины, – почему интернет его так засрал? Потому что не по типажу) Она – Лето, невысокая, с мягкой фигурой и мягкими чертами лица, очень женственная. Тут объем, массивные детали и спущенная талия противопоказаны, изуродуют все пропорции. Не потому что фигура или лицо плохие, она красотка, все там хорошо! Просто любую мягкую невысокую девочку такое платье будет полнить и прибивать к полу. Особенно…

❤132🔥24custom 524946313689276314820❤‍🔥4

29 Sept 2026, 09:48 UTC≈7,570 views269 reactionsread 9 October 2026
Photo

На мой взгляд, сделанные инста-лица нравятся только людям с очень плохим вкусом. Ведь согласитесь, сегодня, когда каждое первое лицо имеет следы вмешательств и НЕ имеет уникальности, та самая красота от природы очень обесценилась. Чем чаще мы видим микроносы, огромные губы и натянутые вверх лица, тем сильнее верим в их идеальность и активнее пытаемся подогнать под это себя. Ну ужасно же смотреть, как УЖЕ красивые д…

❤180🔥49custom 524946313689276314837❤‍🔥3

23 Sept 2026, 14:30 UTC≈7,550 views156 reactionsread 9 October 2026
Photo

Какому типажу сложнее всего выбирать одежду? Ну, смотря какие вы преследуете цели))) Если речь о повседневном гардеробе, сложнее всего одевать Эриду и Гекату, которых простота, объемы и отсутствие роскоши натурально портят. Спортивный костюм? Только с акцентом на талию и из роскошных тканей (велюр, шелк). Водолазка? Желательно с принтом и блестящей текстурой. Свитер? Снова никуда без приталенности. И ладно лето, там…

❤106🔥30custom 524946313689276314820

21 Sept 2026, 13:29 UTC≈6,410 views123 reactionsread 9 October 2026
Photo

Натуральные шубы: носить или выбирать искусственные? В последнем ролике затронула эту тему и получила сначала комменты о том, как натуральный мех ужасен, потом о том, как плох искусственный. Согласна и с тем, и с другим) Да простят меня адепты эко-меха, но как ни крути, он и выглядит, и носится в разы хуже обычного: нет роскошного шубного блеска, нет красивой текстуры, совсем иная посадка (он плотнее), + не так гре…

❤87custom 524946313689276314819❤‍🔥17

17 Sept 2026, 13:06 UTC≈7,410 views117 reactionsread 9 October 2026
Photo

В последнее время вижу много рекламы Ультраформера (аппарат, подтягивающий ткани), – и честно, настораживаюсь! Понятно, давать экспертные оценки я не могу, не врач же… но кое-что о процедуре знаю! Работает UF на основе ультразвука, который проникает в глубокие слои кожи и спаивает ткани, давая эффект подтяжки и сжигания жира. Плюсы: нет реабилитации, быстро, не слишком болезненно; минусы: подходит далеко не всем. В…

custom 524946313689276314866❤38🔥13

15 Sept 2026, 11:25 UTC≈6,550 views145 reactionsread 9 October 2026
Photo

Прошу, скажите, что и вы устали от идеи «дорого = минималистично» Вроде бы и мода на украшения, принты и яркие макияжи к нам пришла, и олд мани остался где-то в прошлом, но все равно в головах людей сидит идея о том, что роскошь связана с минимализмом. Задание на подумать: вы идете на обед к каким-то очень богатым и влиятельным людям, желая показаться одной из них, что наденете? С вероятностью 90% базовую базу: беже…

❤98🔥25custom 524946313689276314822

13 Sept 2026, 15:12 UTC≈6,990 views130 reactionsread 8 October 2026
Photo

– Я согласна с тем, что мне идут приталенные вещи, но таких нигде нет, в талии все огромное! – А я не хочу быть высокой, брюки и джинсы всегда короткие, хотя типажу рекомендована длина в пол… – У меня наоборот! Я 160 и все брюки длинные, бесконечно надо урезать! На кого бренды вообще шьют одежду? Честно? Я и сама не знаю, на кого, потому что каждый раз выбирая вещь даже себе, я сталкиваюсь с кучей вопросов))) Вот н…

❤86🔥23custom 524946313689276314817❤‍🔥4

10 Sept 2026, 13:13 UTC≈7,720 views251 reactionsread 8 October 2026

Posted without readable text

❤152🔥47❤‍🔥33custom 524946313689276314816😭3

6 Sept 2026, 09:46 UTC≈7,800 views220 reactionsread 8 October 2026
Photo

Устала бомбить на русские бренды, толкающие алик по цене х2, х3, х7, поэтому просто информирую: платье Gwyneth бреда Calypso можно купить в два раза дешевле) Вещи абсолютно идентичны, за исключением цены, я лично купила вариант с али, он по визуалу и посадке не отличается от платья в аккаунтах бренда. Стразы, ткань, лямки, посадка, размерная сетка, вы и сами все видите))) Один нюанс (он будет и у китайцев, и у Cali…

❤147custom 524946313689276314837🔥36

4 Sept 2026, 14:03 UTC≈7,560 views185 reactionsread 30 September 2026
Photo

И отвечая на вопрос, зачем менять свой солнечный юг на дождливый Питер… ради пресс-тура Jully Bride💍 Начало уже потрясающее: 15 красоток, шикарная природа Карелии, продуманные до мелочей подарки и мама-кошка с четырьмя котятами, – 100% мой вайбик, че говорить))) По планам мафия, много фоток, большое мероприятие бренда, новые знакомства и раскайфовка! + очень хочу посмотреть на платья вживую и оценить их через приз…

❤122custom 524946313689276314835🔥25❤‍🔥3

Showing the 12 most recent of 31 posts we hold for @lavrisonn. 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.

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.

ЕРВИШНЯ
@yourrwishestg · 37,699
#1
darina k
@dzllhaha · 11,120
#2
rutkismary
@rutkismary · 331,056
#3
evkasup
@evkasup13 · 101,406
#4
ангел хлоя
@angchloeme · 63,061
#5
KOSTI
@kosti · 553,885
#6
АКУЛИЧ
@akyulenokk · 256,518
#7
крис про сияние
@krisbeautynews · 53,602
#8
klueva
@kluevacharm · 33,885
#9
айсберг @icceeeberg
@icceeeberg · 79,101
#10
K.hism
@karimeyorenn · 28,771
#11
Milena Ioanna
@milenaioannalive · 36,394
#12
MASHUTIK
@manulFch · 423
#13
PETROVA
@milanapetrovaqueen · 198,744
#14
Рифмы и Панчи 🤯
@rhymestg · 1,492,590
#15
барашик лизок @barrashik
@barrashikliza · 357,070
#16
здесь живет броен
@br1anm7ps · 1,093,504
#17
ох
@theohdaily · 172,492
#18
эрика без впн
@erikabezvpn · 37,330
#19
Клуб Романтики — Мои Истории
@official_romanceclub · 732,160
#20
sanforroro пишет..
@sanforrorosblog · 7,009
#21
всмысле Саша?
@nalunetelegram · 77,864
#22
луничка
@luni4kaaa · 24,296
#23
катя романова
@katukssaaa · 84,376
#24
Mon Amy
@itsdanilevskaya · 51,847
#25
ЕГОР КРИД
@egorkreed · 729,804
#26
жизнь ventus__florem
@ventusfloremlife · 85,208
#27
FORRCHANCE
@forrchance · 29,215
#28
Clapp Snap!
@KateClappTelegram · 171,581
#29
UMKA
@umkatgk · 51,396
#30
christinaleks
@chrisstinalekss · 6,025
#31
Dima Vo
@dimavodima · 41,773
#32
Kristina Laktionova
@laktionovaaaaa · 52,809
#33
Париж не стоит мессы
@deadpoetscom · 19,246
#34
_princess.avrora_
@lloollkkee · 5,092
#35
by анна ли 💋
@byannali · 7,195
#36
FEMALE MEMES
@femalememes · 400,893
#37
sosomak
@sosomakinst · 22,788
#38
🎀Karna.val🎀
@karnava1l · 280,145
#39
ВПШ
@pravdadirty · 1,392,625
#40
ЭТО ЗНАК
@etoznakmag · 632,252
#41
КК
@petrovtel · 543,717
#42
Anka Peresild
@officialannaperesild · 179,355
#43
саша теслонд @teslond
@teslond1 · 90,184
#44
SHTOLL NEWS💋
@SHTOLLNEWS · 517,558
#45
Данила Кашен
@DKNASASAL · 385,262
#46
Екатерина Мизулина
@ekaterina_mizulina · 921,923
#47
Москвач • Новости Москвы
@moscowach · 3,921,322
#48

Read from Telegram’s recommendation API, most recently 22 September 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.

ЕРВИШНЯ
@yourrwishestg · 37,699
Telegram ranks this channel #13 of 52 here — alongside 51 others — read 31 August 2026
FORRCHANCE
@forrchance · 29,215
Telegram ranks this channel #18 of 30 here — alongside 29 others — read 8 September 2026
rutkismary
@rutkismary · 331,056
Telegram ranks this channel #18 of 57 here — alongside 56 others — read 10 August 2026
klueva
@kluevacharm · 33,885
Telegram ranks this channel #23 of 48 here — alongside 47 others — read 3 September 2026
Софья Вострилова
@soffashion · 26,824
Telegram ranks this channel #31 of 60 here — alongside 59 others — read 12 September 2026
DaSHuk
@ShulginaDa · 159,216
Telegram ranks this channel #36 of 60 here — alongside 59 others — read 12 August 2026
малина маллер 🩶
@natalina_maller · 23,424
Telegram ranks this channel #47 of 55 here — alongside 54 others — read 18 September 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. 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 31 October 2026 — this entry's latest reading, not the date you are reading this.

“LAVRISON” (@lavrisonn), 21,201 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/lavrisonn.

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.