Telegram RegisterThe public register of Telegram
Telegram profile photo for bw.International 18+

Channel

bw.International 18+

@bwkrzt

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

19,797subscribers

-140 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-1001614130673
TypeChannel
Username@bwkrzt
Created11 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/bwkrzt

Topic

Film & TV — 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 67% 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

19,53719,93819,737.57 August 2026 — 19,937 subscribers7 August 2026 — 19,937 subscribers7 August 2026 — 19,938 subscribers9 August 2026 — 19,936 subscribers10 August 2026 — 19,927 subscribers12 August 2026 — 19,919 subscribers14 August 2026 — 19,920 subscribers15 August 2026 — 19,909 subscribers16 August 2026 — 19,920 subscribers17 August 2026 — 19,915 subscribers18 August 2026 — 19,895 subscribers20 August 2026 — 19,885 subscribers20 August 2026 — 19,879 subscribers22 August 2026 — 19,862 subscribers23 August 2026 — 19,858 subscribers25 August 2026 — 19,846 subscribers26 August 2026 — 19,837 subscribers27 August 2026 — 19,829 subscribers28 August 2026 — 19,819 subscribers29 August 2026 — 19,807 subscribers31 August 2026 — 19,801 subscribers1 September 2026 — 19,793 subscribers2 September 2026 — 19,779 subscribers3 September 2026 — 19,771 subscribers5 September 2026 — 19,754 subscribers8 September 2026 — 19,731 subscribers11 September 2026 — 19,722 subscribers13 September 2026 — 19,710 subscribers14 September 2026 — 19,684 subscribers16 September 2026 — 19,676 subscribers19 September 2026 — 19,663 subscribers25 September 2026 — 19,630 subscribers4 October 2026 — 19,597 subscribers8 October 2026 — 19,586 subscribers12 October 2026 — 19,566 subscribers14 October 2026 — 19,553 subscribers15 October 2026 — 19,549 subscribers16 October 2026 — 19,547 subscribers17 October 2026 — 19,542 subscribers18 October 2026 — 19,537 subscribers19 October 2026 — 19,548 subscribers20 October 2026 — 19,566 subscribers21 October 2026 — 19,561 subscribers22 October 2026 — 19,569 subscribers23 October 2026 — 19,568 subscribers24 October 2026 — 19,563 subscribers25 October 2026 — 19,560 subscribers26 October 2026 — 19,553 subscribers27 October 2026 — 19,557 subscribers28 October 2026 — 19,560 subscribers29 October 2026 — 19,568 subscribers30 October 2026 — 19,572 subscribers31 October 2026 — 19,576 subscribers1 November 2026 — 19,587 subscribers2 November 2026 — 19,594 subscribers3 November 2026 — 19,671 subscribers4 November 2026 — 19,761 subscribers5 November 2026 — 19,797 subscribers19,7977 August 20265 November 2026
58 measurements spanning 90 days, net -140. 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 19,477–19,998 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
5 Nov 2026, 16:3519,797+36
4 Nov 2026, 17:4719,761+90
3 Nov 2026, 16:3619,671+77
2 Nov 2026, 19:3819,594+7
1 Nov 2026, 19:0019,587+11
31 Oct 2026, 17:3519,576+4
30 Oct 2026, 20:4619,572+4
29 Oct 2026, 17:1719,568+8
28 Oct 2026, 16:3519,560+3
27 Oct 2026, 12:5919,557+4
26 Oct 2026, 14:0919,553-7
25 Oct 2026, 17:0619,560-3
24 Oct 2026, 18:5519,563-5
23 Oct 2026, 19:2019,568-1
22 Oct 2026, 18:4719,569+8
21 Oct 2026, 15:0619,561-5
20 Oct 2026, 11:2819,566+18
19 Oct 2026, 12:4419,548+11
18 Oct 2026, 11:1519,537-5
17 Oct 2026, 13:1919,542first reading

Engagement

165 posts held, back to 6 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 62 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.6%
avg views ÷ 19,797 subscribers
Avg views / post
3,090
44 posts measured
Reaction rate
13.5%
reactions ÷ views · ER floor
Posts in window
44
of 165 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 5 November 2026
Posts held165 (6 August 2026 – 5 November 2026)
Views total135,913
Reactions total18,397
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 15:10 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
18m 04s
Average length
33s

Measured directly from 33 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

85,060 reactions across 165 posts, in 45 distinct kinds. The most used accounts for 57.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤48,45457.0%
❤‍🔥9,57411.3%
💘6,1427.22%
🍓3,4484.05%
🔥3,3553.94%
😍3,3423.93%
💋1,8422.17%
😢1,5311.80%
💔1,1661.37%
😭8160.959%
😨6870.808%
🙏6300.741%
🤬6100.717%
🆒5830.685%
🥰3180.374%
👀2890.34%
🦄2750.323%
😱1960.23%
🤔1870.22%
☃1810.213%
25 further kinds1,4341.69%

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 165 of the 165 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 85,060 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 165 most recent posts we hold, published 6 August 2026 to 5 November 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
21
across the posts below
Posts paid on
16
of 165 we hold a reading for · 10%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bwkrzt. 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 165 most recent posts we hold for this entry, published 6 August 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 1 of 44 posts held from the last 30 days (2.27%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 14:15 UTC≈1,450 views146 reactionsread 5 November 2026
Photo

🎬| Компания iQIYI анонсировала адаптацию популярного тайского BL-вебтуна «Woke Up as the Main Character» (ตื่นมาอีกทีก็เป็นนายเอกไปซะแล้ว). Синопсис: В центре сюжета адвокат Кхонг, который после гибели неожиданно приходит в себя в теле молодого актёра по имени Кан. Теперь ему предстоит привыкнуть к новой жизни, разобраться в обстоятельствах покушения на прежнего владельца тела и сниматься в BL-фильме вместе с Кхетра…

❤104🔥19😍18💋2💘2👌1

5 Nov 2026, 14:13 UTC≈1,570 views144 reactionsread 5 November 2026
Photo

🎬| Компания iQIYI анонсировала адаптацию китайской BL-новеллы «The Decent» (满城衣冠), которая получит название «The City of Suits». Автор Jin Shisi Chai. Синопсис: В центре сюжета адвокат Фу Юньсянь и Сюй Су, чьи судьбы связаны уже более десяти лет. На фоне юридических интриг, непростого прошлого и моральных противоречий героям предстоит разобраться в своих чувствах и отношениях, прошедших через множество испытаний. |🤩

❤100❤‍🔥17🍓16🔥8💋2💘1

5 Nov 2026, 14:06 UTC≈1,660 views154 reactionsread 5 November 2026
Photo

🎬| Компания iQIYI совместно с Tailai int. анонсировала адаптацию китайской BL-новеллы «Lip and Sword» (唇枪), которая получит название «Sword of Lips». Автор Jin Shisi Chai. Синопсис: В центре сюжета выпускник медицинского факультета Син Минь, который становится журналистом, чтобы раскрыть правду о смерти отца в тюрьме. Ради расследования он сближается с влиятельным председателем медиакомпании Юй Чжунъе. Постепенно их…

❤114❤‍🔥15🔥13😍5💋3🍓2💘1🥰1

5 Nov 2026, 13:56 UTC≈1,880 views179 reactionsread 5 November 2026
Photo

🎬| Компания iQIYI анонсировала тайскую адаптацию китайской BL-новеллы «Mr. Dior» авторства LYQH. Синопсис: В центре сюжета супружеская пара, оба партнёра которой являются генеральными директорами. После автомобильной аварии один из них получает травму мозга и начинает воспринимать реальность через сюжеты любовных романов, постоянно меняя своё поведение и перевоплощаясь в типичных героев мелодрам. Его мужу остаётся л…

❤116👀26❤‍🔥24💋4🍓3🔥3😍2💘1

5 Nov 2026, 13:52 UTC≈2,000 views207 reactionsread 5 November 2026
Photo

🎬| iQIYI анонсировала адаптацию тайского BL-вебтуна «Ayothaya Ayeyarwady». Одну из главных ролей исполнит Сон Юке. Синопсис: Действие истории разворачивается в XVI веке на фоне военного конфликта между Аюттхаей и Хантавади. Наследник правителя Сонг Кхве оказывается в плену и знакомится с сыном наследника престола вражеского государства. Между двумя принцами, оказавшимися по разные стороны войны, постепенно зарождают…

❤140😍23💘20🔥12❤‍🔥4🍓3👀3💋1

5 Nov 2026, 13:40 UTC≈2,250 views248 reactionsread 5 November 2026
Photo

🎬| Компания iQIYI совместно с Tailai Ent. анонсировала экранизацию китайской BL-новеллы «Lock On You» из вселенной Y Series 188 Group. Синопсис: Избалованный наследник богатой семьи Бай Синьюй в наказание отправляется на военную службу. Там ему предстоит столкнуться с суровой армейской дисциплиной и Юй Фэнчэном, самоуверенным военным, с которым у него с самого начала складываются непростые отношения. Постепенно взаи…

❤173💘35👍22😍7🔥4❤‍🔥3🍓2💋1

5 Nov 2026, 13:15 UTC≈2,460 views267 reactionsread 5 November 2026
Photo

🎬| iQIYI совместно с Copy A Bangkok анонсировали экранизацию тайской BL-новеллы «Don’t Peek». Синопсис: По сюжету, Пик привык к тому, что в его жизни постоянно происходят необычные события. Однако встреча с Трайканом, мужчиной, который одинаково хорошо разбирается как в бизнесе, так и в любовных делах, становится для него совершенно новым опытом. Пик начинает испытывать чувства к отцу своего друга, и эта привязаннос…

❤191👀28💋28😨6❤‍🔥3🍓3💘3🤔3

5 Nov 2026, 12:37 UTC≈2,800 views375 reactionsread 5 November 2026
Video

📰| iQIYI готовит особенный проект с участием артистов своего агентства iQIYI Artist. Премьера состоится в ближайшее время эксклюзивно на платформе iQIYI.|🤩

❤275🍓37💘35👌13❤‍🔥7🔥3😍3💋2

5 Nov 2026, 12:14 UTC≈3,060 views727 reactionsread 5 November 2026
Photo

📰| «Duang With You» стал самым просматриваемым тайским сериалом на платформе iQIYI International во всём мире по итогам 2026 года.|🤩

❤485❤‍🔥107🔥89💘17🍓13💋7🙉5💯1

5 Nov 2026, 12:14 UTC≈2,980 views413 reactionsread 5 November 2026
Photo

🎬| iQIYI представила список BL-проектов Domundi, которые выйдут на платформе: UNKNOWN LOVER No.1 Student |🤩

❤‍🔥219❤115💘45😍15🍓6🔥6💋4🥰2

5 Nov 2026, 12:02 UTC≈3,040 views457 reactionsread 5 November 2026
Photo

🎬| iQIYI представила список BL-проектов Domundi, которые выйдут на платформе: You(r)tuber 20 Lists Friend Benefit 30 Days of Us Into Racha The Scent of Sorrow Still Holding Up Like the Moon HUG E-LHEE : Somtum Rhapsody Passenger Seat Number X |🤩

❤313❤‍🔥67🔥43🍓10💘8👏4💋4⚡2

4 Nov 2026, 16:44 UTC≈3,880 views533 reactionsread 5 November 2026
Photo

📰| Новостной канал BoysLove Hub опубликовал полный ответ GMMTV на свой запрос о том, будут ли представленные на презентации проекты BL-сериалами и станут ли актёры продвигаться в качестве BL-пар. В своём ответе компания перечислила названия проектов и отдельно подчеркнула, что указанные пары не будут продвигаться как BL-пары.|🤩

❤354❤‍🔥67💘45🤬25💔21🆒9🍓8💋3

Showing the 12 most recent of 165 posts we hold for @bwkrzt. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

thaillow ♡︎
@hdkxjdkxkebxbdj · 15,557
#1
Что там сегодня в мире яой.
@aminkaaa123 · 2,008
#2
Яркие звёзды в голубой комнате 🌌
@bl_boyfriend · 29,491
#3
МОИ ШЕСТЕРЕНОЧКИ ⚙
@lovers_lakorn · 5,559
#4
always offgun [closed]
@alwaysoffgun · 1,193
#5
Клуб сумасшедших мыслей | thai bl
@crazyclubb_b · 2,379
#6
# number one (first !!)
@ilovefirstkhao · 1,726
#7
ПИПИБАХИЛА
@ppbahila · 725
#8
мы за здоровые отношения
@threerats3 · 670
#9
✨Мерч с bl-лакорнами / стикеры /стенды✨
@merchBLlakorn · 847
#10
🎧 ’ FKNATION
@fknationnn · 3,013
#11
Bl Lakorns/Dorams
@bllakornnnsss · 4,684
#12
forcebook’s ss ૮꒰ ˶• ༝ •˶꒱ა
@forcebookss · 1,332
#13
ㅤ౨ৎ zeroslayone
@zeroslayone · 3,476 (as read 1 October 2026)
#14
BLove house 💥 Лакорны и Дорамы
@BLove_house · 19,014
#15
softest touch
@softesttouches · 868
#16
𝙥𝙗𝙩𝙪 𝙚𝙧𝙖||𝐭𝐞𝐪𝐮𝐢𝐥𝐚 ((🍸) 𝐟𝐫𝐨𝐦 𝐛𝐩
@starlitbp · 3,193
#17
🗞️Тайские новости 🗞️
@bl_yaoi21 · 4,625
#18
🔒𓍯𓂃box of warm kittens
@firstkhaomysoul · 850
#19
#deerzone | k-pop news
@deerzone · 18,826
#20
NCT
@nct_sme · 6,546
#21
Аньён Entertainment | k-pop lab
@kpop_lab · 8,087
#22
place on saturn
@myfavsaturn · 1,185
#23
JIMMYSEA 🥑🌊
@jimmyseal · 3,809
#24
FSG White & Black
@whiteblackbunny · 5,987
#25
懐かしい;весенний ветер
@springmomentt · 286
#26
ᴍᴀʀᴄᴘᴏᴏɴ ᴡᴅ
@marcpoonwd · 651
#27
juniormark | ⋆˚࿔
@jrmkthai · 1,198
#28
Инстановости любимых тайцев
@instaThailand · 1,166
#29
closed | пинг и его мужики
@gangmeenping · 1,493
#30
лерония и тайские приколы 🇹🇭
@riasdiaries · 1,064
#31
utsukushii kare? utsukushii ai no monogatari
@utsukushiinihon · 551
#32
STICKS YOONMI : стикеры из лакорнов/дорам/манхв
@LSKZJHYE · 4,851
#33
⌗ rest | geminifourth love space 🪐 ˎˊ˗
@gflvsp · 596
#34
Stray Kids | JYP ️️
@StrayKids_JYP · 161,882
#35
라브뜨 ' 7 ' — riize
@forriize · 2,312
#36
in luv with wandday
@inluvwandee · 199
#37
heartside'🤍
@barcodejeff2 · 1,052
#38
tth era ♡ headed to u ♡
@headedtoyou · 920
#39

Read from Telegram’s recommendation API, most recently 1 October 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.

Яркие звёзды в голубой комнате 🌌
@bl_boyfriend · 29,491
Telegram ranks this channel #2 of 29 here — alongside 28 others — read 1 October 2026
BLove house 💥 Лакорны и Дорамы
@BLove_house · 19,014
Telegram ranks this channel #11 of 29 here — alongside 28 others — read 3 October 2026
CINEMATIC | Американская история ужасов
@youngroyals_netflix_tg · 60,181
Telegram ranks this channel #26 of 56 here — alongside 55 others — read 27 August 2026
plaanet_kpop
@plaanet_kpop1 · 34,993
Telegram ranks this channel #47 of 66 here — alongside 65 others — read 2 September 2026

This channel appears in 4 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“bw.International 18+” (@bwkrzt), 19,797 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/bwkrzt.

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.