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 28 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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
3 measurements spanning 49 days, net -1. 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 68–69 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Sept 2026, 16:18
68
-1
10 Aug 2026, 00:17
69
no change
7 Aug 2026, 20:39
69
first reading
Engagement
5 posts held, back to 23 July 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 5 posts for this entry, the most recent from 14 January 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
73 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 37.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
37.0%
🔥
26
35.6%
🥰
13
17.8%
👍
3
4.11%
⚡
2
2.74%
😍
2
2.74%
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 5 of the 5 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 73 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 23 July 2025 to 14 January 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.
Сегодня я хочу поделиться с вами особенной фотосессией, которая согрела мое сердце и наполнила студию невероятным теплом. Встречайте – очаровательная семья и их всеобщий любимец, пес Джаз!
Эта съемка была пронизана искренностью и неподдельной любовью. Джаз, как настоящий член семьи, принимал активное участие в процессе. Его преданный взгляд, виляющий хвост и готовность обниматься с каждым вызывали умиление.
Мы постар…
🌟 Фотосессия Татьяны и Джесси 🌟
Татьяна пришла с Джек Расселом Джесси, и эта пара покорила меня с первых минут. 🐾❤️
🥰 Джесси — очень веселая собачка: с ее энергией и задорным характером съёмка прошла на одном дыхании! Мы поймали множество искренних моментов!
Так приятно видеть, как любовь между человеком и питомцем запечатлевается в кадре. Эти моменты останутся с ними навсегда, и я рада была стать создателем се…
🖤 **Серьёзный мужчина и его маленькая собачка: нежность в каждом кадре.** 🐾
📸✨Каждый кадр запечатлел не только их невероятную связь, но и ту удивительную атмосферу доверия и любви, которая царила между ними. Как ни странно, но именно малое создание с большими глазами помогло раскрыть глубину души нашего героя. ❤️
Иногда самое простое — это то, что говорит больше всего. Такие моменты остаются в сердце навсегда. А как…
Снимать было непросто. Микоян не всегда желал позировать, отвлекался на лакомства. Приходилось ловить момент, быть быстрой и незаметной. Но в итоге получилось много забавных и трогательных кадров. Микки , поедающий торт с довольной мордой,, счастливые глаза хозяев – это были настоящие, искренние эмоции.
В моем объективе – чудесная семья и их верный четвероногий друг Тайсон. Это больше, чем просто собака; он – полноправный член семьи, разделяющий радости и печали, тихие вечера и шумные праздники.
🔥10❤3⚡2🥰2
Signed Ольга Варламова
Showing the 5 most recent of 5 posts we hold for @crazydogwoman. 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Olga.Varlamova” (@crazydogwoman), 68 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/crazydogwoman.
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.
