Posted without readable text

Channel
darinalanguage
@darina_language
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
20,613subscribers
+44 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 | -1001653624119 |
|---|---|
| Type | Channel |
| Username | @darina_language |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 28 October 2026 |
| Measurements held | 51 |
| Confirmed unchanged | 1 time, most recently 28 October 2026 |
| On Telegram | t.me/darina_language |
Topic
Other / unclassifiable — 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 86% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Oct 2026, 15:46 | 20,613 | -66 |
| 27 Oct 2026, 14:11 | 20,679 | -119 |
| 26 Oct 2026, 10:59 | 20,798 | -112 |
| 25 Oct 2026, 12:09 | 20,910 | -154 |
| 24 Oct 2026, 08:45 | 21,064 | -195 |
| 23 Oct 2026, 09:20 | 21,259 | -141 |
| 22 Oct 2026, 11:21 | 21,400 | -41 |
| 21 Oct 2026, 06:01 | 21,441 | -184 |
| 20 Oct 2026, 05:02 | 21,625 | -237 |
| 19 Oct 2026, 04:47 | 21,862 | -385 |
| 18 Oct 2026, 05:56 | 22,247 | -237 |
| 17 Oct 2026, 03:16 | 22,484 | -82 |
| 16 Oct 2026, 01:08 | 22,566 | +665 |
| 14 Oct 2026, 21:49 | 21,901 | +363 |
| 13 Oct 2026, 11:46 | 21,538 | -1,177 |
| 9 Oct 2026, 06:59 | 22,715 | -741 |
| 4 Oct 2026, 18:21 | 23,456 | +2,024 |
| 26 Sept 2026, 20:55 | 21,432 | +382 |
| 17 Sept 2026, 15:38 | 21,050 | +341 |
| 15 Sept 2026, 10:20 | 20,709 | first reading |
Engagement
37 posts held, back to 30 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 78 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 15.6%
- avg views ÷ 20,613 subscribers
- Avg views / post
- 3,210
- 10 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 10
- of 37 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.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 37 (30 July 2026 – 12 October 2026) |
| Views total | 32,134 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Oct 2026, 11:06 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
- 1m 46s
- Average length
- 21s
Measured directly from 5 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.
Recent posts
Наконец-то моя посылочка приехала 😅 Девочки, я так долго облизывалась на Round Lab и вот моя коробочка наконец у меня. Не могу не поделиться. Round Lab это корейский бренд ухода, который все хвалят за формулы и натуральные составы. Что внутри: 🧼 1025 Dokdo Cleanser Густая пенка на морской воде. Смывает всё лишнее и себум, но не стягивает, увлажняет и успокаивает. 🧼 1025 Dokdo Toner Формула с HATCHING EX-07 мягк…
Posted without readable text
Хотела вам рассказать про долгожданную покупку для нашего сына Савелия 🤍 Савелий на улице всегда на транспорте: беговел, самокат в активном использовании. Настала пора велосипеда. Очень долго выбирала магазин, саму модель велика, поэтому делюсь контактами, чтобы кому тоже актуально, облегчить муки выбора 🤍 Остановились на ВелоСклад.ру. Выбор велосипедов здесь оказался самый большой: в торговом зале более 400 разных…
🍂 Осенний мудборд: главные тренды Собрала для вас визуальную шпаргалку на осень. Сохрани, чтобы была на виду 🤍 Вот что в тренде: { Кожа и перчатки } Кожаные перчатки (с брошами или кольцами поверх), юбки макси из экокожи, кожаные брюки. Особый шик: сочетать с уютным трикотажем. { Куртки милитари и объем } Куртки милитари с воротниками-стойками, меховые воротники, объемные свитера с крупной вязкой и пушистые «облач…
Показываю подробно, как проходит процедура! 😍 Мне было совсем не больно 🙏🏻 Всё без анестезии. Кожа сразу после — напитанная, а на щёчках приятный румянец 🤍
Девочки, рассказываю про процедуру плазмотерапия PRP в сочетании с японским препаратом Мелсмэн, которую я делала недавно в SQ Clinic. Что касается ощущений, терпимо (так как у меня высокий болевой порог, я вообще ничего не чувствую). Взяли кровь из вены, центрифугировали, получили плазму. Плазма это мой собственный материал, аллергии быть не может. Затем врач добавил японский препарат Мелсмэн. Это гидролизат плацен…
У нас идёт прекрасный конкурс 🎀 Видим ваш актив и очень радуемся 😍 Вы —лучшие! Также есть возможность выиграть приз рандомно, условия максимально простые для участия 🤌🏼 Ещё не поздно принять участие!
Что посмотреть на YOUTUBE осенним вечером: // Самми Робинсон открывает свой магазин в Мельбурн // Кайли Дженнер строит дом мечты // Дакота Джонсон показывает интересные и ценные вещи своего дома // Хейли Бибер честно рассказывает о материнстве, славе и своем бренде // Как живет Боня? // Путешествие в Лондон Оливии Джейд // Санни Влоет и её день в роли бизнесвумен Смотрим, вдохновляемся и пересылаем подружке! ☕️🤍 {…
🇬🇧 Английский в кафе: 10 фраз, которые спасут за границей Заказать кофе, попросить с собой или оплатить картой — всё это легко, если знаешь пару фраз 👇🏻 Что скажет вам бариста • For here or to go? — Здесь или с собой? • Would you like anything else? — Что-нибудь ещё? Как сделать заказ • I'd like a coffee, please. — Я бы хотел кофе, пожалуйста. • Can I have a cappuccino? — Можно мне капучино? Как уточнить детали …
Сегодня шопинг в бутике Áskent, заглянула на Покровке 🤍 Очень нравится философия Áskent: минимализм, функциональность и «медленная мода» — меньше, но лучше 🤌🏼 #darina_brands И это не просто слова: бренд реально работает с кожей от поставщиков с аудитом Leather Working Group (LWG) и борется с перепроизводством — выпускают ограниченные партии, а не штампуют бесконечные коллекции. {Приятно, когда красивое совпадает с…
Видели эту неповторимую флиску от Ralph Lauren? 😭🤍 Какая же крутая новинка у бренда 🧸 Определенно хочу заказать ее на эту осень! I’m a fleece-a-holic girl 🤪 #darina_brands МАХимально на связи
Showing the 12 most recent of 37 posts we hold for @darina_language. 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.
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 2 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.
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.
@divaddii · 30,258#1
@rovnermaria · 13,889#2
@dashamatveevaaa · 28,558#3
@olyavbeauty · 17,956#4
@witheireen · 43,817#5
@ba_polly · 24,251#6
@vtoroiedihanie · 3,979#7
@rimurina · 7,442#8
@manishka2 · 3,760#9
@angelaaaanp · 23,631#10
@lalansvvvv · 2,122#11
@myyyyyrkaaa · 9,266#12
@sofia_molz · 49,784#13
@lumikriss · 7,613#14
@anlovafit · 14,464#15
@nodaywithoutbeauty · 29,142#16
@withlovebydariak · 4,481#17
@angelinalapinatg · 10,835#18
@polenukk · 33,254#19
@honey_hello · 5,828#20
@bygedonism · 10,039#21
@beauty_By_Alice · 4,744#22
@agdedana · 28,706#23
@secretmam · 3,857#24
@marketing_andyou · 5,777#25
@Tanyatalksabout · 43,375#26
@byssofy · 3,122#27
@kkkverl_beauty · 4,111#28
@devchachiycartel · 11,092#29
@alinaatatik · 15,272#30
@krasivoematerinstvoo · 4,364#31
@misskarina_muse · 10,340#32
@ITSNOTDORI · 19,177#33
@incredibleane · 3,472#34
@olyaulanova1 · 7,462#35
@bydunyasha · 6,647#36
@hedonistkatee · 5,301#37
@sofikshenzdes · 17,038#38
@kseniaspasdiary08 · 17,708#39
@valerevara · 19,093#40
@broilinhades · 37,247#41
@writeforfriends · 28,683#42
@mozhnorita · 31,174#43
@dgrbeauty · 44,984#44
@masenjiblog · 17,817#45
@devilwearspatches · 10,387#46
@kseny_patches · 32,006#47
@speciallamansh · 1,369#48
@aagainsaaashaaa · 22,253#49
@veimale · 23,840#50
@janezett · 8,967#51
@albinaovazhnom · 13,755#52
@larakrasnikova_style · 38,162#53
@protrends_and_brands · 11,193#54
@withloveyouwinbaby · 8,447#55
@mskrylova · 5,405#56
@blablagirl1 · 44,418#57
@leinsspiration · 18,390#58
@elvirooylife · 9,068#59
@yansikk · 36,372#60
@pediatriya_i_vse_o_detyah · 9,986#61
@veronicasdiaryy · 12,409#62
@ksssssssu1 · 10,843#63
@katymsc · 3,260#64
@kulturnoeob · 3,765#65
@Momentsolga · 21,379#66
@yourbestiesdiary · 18,143#67
@leya_leyaaa · 29,575#68
@musikskh · 12,437#69
@vmestespolinoi · 2,365#70
@xrisnikonova · 4,689#71
@hotelsnight · 31,911#72
@esthetikatyl · 25,038#73
@na_zlobu_dna · 4,742#74
@nikolskaya_life · 25,466#75
@ushanka_veimale · 2,221#76
@chaos_in_the_house · 807#77
@ne_MAMA_a_mammy · 1,855#78
@rimovna13 · 3,804#79
@erika_iliopoulo · 7,056#80
@mamakatiya · 125#81
Read from Telegram’s recommendation API, most recently 25 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.
@blablagirl1 · 44,418
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 30 August 2026
@agdedana · 28,706
Telegram ranks this channel #27 of 78 here — alongside 77 others — read 6 September 2026
@veimale · 23,840
Telegram ranks this channel #35 of 81 here — alongside 80 others — read 16 September 2026
@ITSNOTDORI · 19,177
Telegram ranks this channel #42 of 79 here — alongside 78 others — read 27 September 2026
@dgrbeauty · 44,984
Telegram ranks this channel #43 of 81 here — alongside 80 others — read 30 August 2026
@hotelsnight · 31,911
Telegram ranks this channel #45 of 79 here — alongside 78 others — read 4 September 2026
@ba_polly · 24,251
Telegram ranks this channel #47 of 77 here — alongside 76 others — read 11 September 2026
@witheireen · 43,817
Telegram ranks this channel #49 of 76 here — alongside 75 others — read 30 August 2026
@iyudina_anya · 21,203
Telegram ranks this channel #54 of 79 here — alongside 78 others — read 30 September 2026
This channel appears in 9 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 28 October 2026 — this entry's latest reading, not the date you are reading this.
“darinalanguage” (@darina_language), 20,613 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/darina_language.
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.