Health & wellness — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 41% 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
23 measurements spanning 87 days, net -86. 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 5,562–5,694 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
2 Nov 2026, 08:21
5,577
-11
29 Oct 2026, 23:59
5,588
-9
27 Oct 2026, 03:19
5,597
-8
24 Oct 2026, 10:06
5,605
-6
21 Oct 2026, 17:06
5,611
-9
18 Oct 2026, 14:01
5,620
+2
15 Oct 2026, 09:51
5,618
-12
12 Oct 2026, 00:56
5,630
-17
5 Oct 2026, 05:57
5,647
-23
26 Sept 2026, 08:01
5,670
+16
17 Sept 2026, 03:42
5,654
-13
13 Sept 2026, 13:19
5,667
-12
9 Sept 2026, 19:21
5,679
+8
4 Sept 2026, 10:38
5,671
+19
31 Aug 2026, 15:53
5,652
+50
28 Aug 2026, 07:44
5,602
-24
25 Aug 2026, 00:08
5,626
-3
21 Aug 2026, 05:47
5,629
+1
17 Aug 2026, 19:14
5,628
-6
14 Aug 2026, 21:39
5,634
first reading
Engagement
15 posts held, back to 9 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 7 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
12m 15s
Average length
12m 15s
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
117 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 71.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
84
71.8%
🔥
23
19.7%
👍
5
4.27%
❤🔥
2
1.71%
🗿
2
1.71%
💯
1
0.855%
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 14 of the 15 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 117 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 9 July 2026 to 9 August 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.
Эти практики и уроки выведут отношения на новый уровень 👇🏼
Драгоценные, собрала для вас полезные материалы с канала для прокачки отношений:
♥️ Как начать получать от мужчины подарки/заботу
♥️ Какие качества в женщинах ценят мужчины миллионеры?
♥️ Техника на укрепление отношений
♥️ Почему снова один и тот же сценарий в отношениях
♥️ Психологический тест на тип привязанности
♥️ Как женщины делают своих мужчин …
Почему ты снова притягиваешь один и тот же сценарий в отношениях?
В этом видео подробно разобрала, как психика выбирает мужчин и почему дело чаще всего вообще не в них.
💝Пройди тест на определение типа привязанности
— почему ты можешь годами притягивать один и тот же тип мужчин;
— почему тревога, контроль, ревность и страх потерять партнера — это не характер, а программа;
— как понять, какой у тебя тип привязаннос…
📎Тест: какая ты в любви? Узнай свой тип привязанности
Представление о любви формируется в детстве - ещё до того, как мы научились говорить.
Из того, что мы видели вокруг, складывается наш тип привязанности и любви: тот «коктейль», который психика запомнила как любовь и который мы потом ищем во взрослых отношениях.
Поэтому одна женщина легко строит тёплые отношения, а другая тревожится, тянет всё на себе и притягив…
Провела групповую медитацию в центре Петербурга 🤍
Как же хорошо! Хотя девчонки, даже не знали особо, что будет. Просто почувствовали отклик и успели занять свое место.
Запросы были разные:
- убрать суету, внутреннюю гонку
- принять решения про отношения
- перестать бояться проявляться (вести блог про новую сферу)
- реализация и увеличение дохода
но итог один
пришел кто-то в тревоге суете - вышли все наполн…
❤6
Showing the 12 most recent of 15 posts we hold for @dianagradova. 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.
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 2 November 2026 — this
entry's latest reading, not the date you are reading this.
“Женский КОД 🕊️ Диана Градова” (@dianagradova), 5,577 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/dianagradova.
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.