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 9 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Growth
31 measurements spanning 40 days, net +9,038. 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 148,082–159,832 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
16 Sept 2026, 02:17
158,476
+1,335
14 Sept 2026, 08:37
157,141
+2,397
12 Sept 2026, 20:37
154,744
+1,595
11 Sept 2026, 00:58
153,149
+27
8 Sept 2026, 04:41
153,122
-229
5 Sept 2026, 02:59
153,351
-4
3 Sept 2026, 09:14
153,355
+1
1 Sept 2026, 03:47
153,354
+208
31 Aug 2026, 04:28
153,146
+29
30 Aug 2026, 01:53
153,117
-30
28 Aug 2026, 23:48
153,147
+10
27 Aug 2026, 22:04
153,137
+1
26 Aug 2026, 20:32
153,136
-120
25 Aug 2026, 22:34
153,256
-42
24 Aug 2026, 23:05
153,298
-87
23 Aug 2026, 08:25
153,385
+58
21 Aug 2026, 20:36
153,327
+256
20 Aug 2026, 15:22
153,071
+269
19 Aug 2026, 12:28
152,802
+469
18 Aug 2026, 10:57
152,333
first reading
Engagement
102 posts held, back to 5 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 86 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
35.9%
avg views ÷ 158,476 subscribers
Avg views / post
57,000
73 posts measured
Reaction rate
5.78%
reactions ÷ views · ER floor
Posts in window
74
of 102 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 16 September 2026
Posts held
102 (5 August 2026 – 16 September 2026)
Views total
4,158,600
Reactions total
240,229
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
16 Sept 2026, 18:34 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
≈8,590
Videos
≈937
Links
≈346
Lifetime counters from Telegram’s own channel header, read 16 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
11m 08s
Average length
24s
Measured directly from 28 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
316,117 reactions across 101 posts, in 18 distinct kinds. The most used accounts for 65.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
205,873
65.1%
❤🔥
32,679
10.3%
💘
23,353
7.39%
💋
15,080
4.77%
🔥
11,863
3.75%
🥰
9,746
3.08%
🍓
5,697
1.80%
🕊
3,001
0.949%
🤯
2,646
0.837%
💅
1,710
0.541%
🤩
1,046
0.331%
😁
982
0.311%
💔
979
0.31%
👾
392
0.124%
🐳
339
0.107%
🍾
300
0.095%
🦄
288
0.091%
🎉
143
0.045%
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 101 of the 102 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 316,117 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 5 August 2026 to 16 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
346
across the posts below
Posts paid on
66
of 101 we hold a reading for · 65%
Most on one post
48
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ShulginaDa. 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 102 most recent posts we hold for this entry, published 5 August 2026 to 16 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.
Как проходило утро невесты:
Вы уже знаете, что я заселилась в отель без Бори и это было лучшим решением!
🤩Я переночевала с подругами, утром они уехали и сразу после ко мне пришел визажист, фотограф, видеограф и координатор.
Я чувствовала себя настоящей принцессой, все кружились вокруг меня. Я проснулась 6 утра, а Боря в 11. И если б мы ночевали вместе, он бы точно не выспался и устал бы до свадьбы.✨🫨
Вайб утра после самого лучшего дня в моей жизни:
Сегодня весь день буду публиковать посты с самого начала! Я уверена даже сквозь экран вы растрогаетесь, о таком я даже мечтать не могла…🤍🤍
🤩Сразу после свадьбы мы уехали в отель, чтобы плавно отойти от праздника и побыть наедине и насладиться друг другом вне дома.
Как прошел вечер перед свадьбой на самом деле)
🤩Часов в девять мы вернулись в отель и пошли в спа. Посидели в бане, в джакузи и поплавали в бассейне.
Вернулись в номер в 12, легли спать и началось самое интересное)))
Я вообще не переживала, не думала о свадьбе но почему-то уснуть ВОООБЩЕ не могла. И самое странное, что мои подруги тоже... Я не думала ни о чем, даже выпила таблетку снотворного, но сна ни в одном гл…
Я в сериале!💍
День до свадьбы, я собрала самых близких подруг. Сейчас мы ужинаем в ресторане, сразу после заселяемся в отель со спа и шампанским. Не это ли мечта?
Провести этот день отдельно – лучшее решение!🩷
13.09. Перед Богом Навсегда!
⛪️Почему именно 13 сентября? В православии этот день особенный: осенний день памяти святых Петра и Февронии, покровителей семьи, любви и верности. Считается, что венчающиеся в этот день находятся под их особым молитвенным покровом.
Само Таинство прошло настолько трепетно у нас захватывало дух, вся семья вместе и мурашки были у каждого ✨
Сегодня перебирала избранное в тг и нашла такие кружки:
У меня есть привычка, просто снимать в избранное забавные моменты, когда я счастлива, а потом пересматривать и вспоминать!
Сегодня уезжаю в отель с подругой, буду вам все показывать, ЗАВТРА свадьба 😁😍
Свадебный салон КУРАЖ испортил мое утро невесты 💔
Прежде чем показать вторую серию фото из ЗАГСа, хочу рассказать правду о том, что творилось за кадром.
За день до росписи я забрала платье из салона. Само платье стоило 120.000₽ + 16.000₽ за подшив. На контрольной примерке молния слегка заела, но при приёмке я не заметила дефекта и счастливая повезла его домой.
В день Х, когда макияж уже был готов, а до выхода оста…
Приготовила ужин! Для себя любимой
Боря с самого утра уехал на встречу с друзьями, я весь день одна у меня выходной и я приготовила себе же праздничный ужин. 🐵🍪
В меню: замеченная картошечка с сыром и укропом и чесноком, конвертики из куриного фарша с сыром и помидорами, домашние чесночный соус и салат.
Я впервые нормально поела за последние 3 дня, а впереди ещё столько событий…
Хочу подробнее рассказать про мой образ на роспись:
Я изначально хотела более кокетливый образ, поэтому остановилась на коротком платье и длинной фате 3 метра.
Фата кстати на гребне с забавным объемом под старину! Многие не поняли что это такая фата и решили что мне неправильно закололи испанку 😂🤩
🤩Единственный минус: я не садилась в платье когда его покупала, оно ведь короткое…
И в итоге из-за корсетных вставок о…
❤2,820🥰567❤🔥437🍓42💘42💋28🤩28🔥24
Showing the 12 most recent of 102 posts we hold for @ShulginaDa. 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.
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 12 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.
ХАЛКУС @kkhalkus · 110,307 Telegram ranks this channel #3 of 52 here — alongside 51 others — read 14 August 2026
ЕРВИШНЯ @yourrwishestg · 38,133 Telegram ranks this channel #6 of 52 here — alongside 51 others — read 31 August 2026
rutkismary @rutkismary · 333,248 Telegram ranks this channel #7 of 57 here — alongside 56 others — read 10 August 2026
шанава вещает @shanaavaaa · 25,450 Telegram ranks this channel #9 of 57 here — alongside 56 others — read 14 September 2026
ангел хлоя @angchloeme · 61,012 Telegram ranks this channel #13 of 53 here — alongside 52 others — read 22 August 2026
несоджа @nesojaa · 86,652 Telegram ranks this channel #16 of 61 here — alongside 60 others — read 17 August 2026
RUDOVA YANA | про бьюти @rudovayana666 · 40,228 Telegram ranks this channel #18 of 61 here — alongside 60 others — read 30 August 2026
Imargot @immmargot · 71,915 Telegram ranks this channel #19 of 63 here — alongside 62 others — read 19 August 2026
Эмили @lokerm · 34,298 Telegram ranks this channel #26 of 64 here — alongside 63 others — read 3 September 2026
helnns @helnns · 68,602 Telegram ranks this channel #26 of 59 here — alongside 58 others — read 20 August 2026
делиса косметикс @imdelisa · 35,715 Telegram ranks this channel #27 of 59 here — alongside 58 others — read 2 September 2026
hey, it’s me Anya @heyitsmeanya · 77,707 Telegram ranks this channel #28 of 63 here — alongside 62 others — read 19 August 2026
Екатерина Гребенко @kategrebenko · 24,957 Telegram ranks this channel #30 of 63 here — alongside 62 others — read 15 September 2026
lettres d’elina @lettreselina · 41,951 Telegram ranks this channel #39 of 66 here — alongside 65 others — read 29 August 2026
Златушка🍑 @babbiebuttt · 129,010 Telegram ranks this channel #47 of 73 here — alongside 72 others — read 19 August 2026
This channel appears in 15 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“DaSHuk” (@ShulginaDa), 158,476 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/ShulginaDa.
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.