5 measurements spanning 6 days, net -14. 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 1,507–1,525 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 11:37
1,509
-5
10 Aug 2026, 18:21
1,514
-7
7 Aug 2026, 22:01
1,521
-2
7 Aug 2026, 21:34
1,523
no change
7 Aug 2026, 17:41
1,523
first reading
Engagement
8 posts held, back to 6 May 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
20.4%
avg views ÷ 1,509 subscribers
Avg views / post
308
2 posts measured
Reaction rate
38.9%
reactions ÷ views · ER floor
Posts in window
2
of 8 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 25 July 2026
Posts held
8 (6 May 2026 – 25 July 2026)
Views total
615
Reactions total
239
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 21:34 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
Video runtime
3m 43s
Average length
1m 52s
Measured directly from 2 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
978 reactions across 8 posts, in 9 distinct kinds. The most used accounts for 24.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
243
24.8%
👍
219
22.4%
🤩
206
21.1%
🔥
195
19.9%
💯
97
9.92%
custom 5377575719205353824
9
0.92%
✍
7
0.716%
👏
1
0.102%
😁
1
0.102%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 8 of the 8 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 978reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 6 May 2026 to 25 July 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.
Любите активный отдых вместе с питомцем? Тогда спортивная зона Petshop Days точно для вас 🏆
На площадке аджилити вас ждут зрелищные выступления, соревнования и развлечения для самых энергичных собак.
Попробуйте свои силы в аджилити, фризби или веселых стартах, поддержите участников и проведите день в отличной компании.
Партнер спортивной зоны — Smart Cat и Smart Dog. Бренды подготовили подарки и приятные сюрпризы …
Продолжаем знакомить вас с #команда_DoggyLogy🐾
Знакомьтесь: Наталья Ефанова – наш супергерой в белом халате!
Врач общей практики с золотыми руками и безграничной любовью к животным!🐶
🔹 Кто она?
Наталья – профессионал с колоссальным опытом работы с собаками и кошками. Она поможет разобраться с прививками, обработками, анализами, подберет оптимальный уход по возрасту и даже проконсультирует в экстренных ситуациях.
🔹…
Пока ваши хвостики в заботливых руках наших нянь, напоминаем о важном🤍
🔸 Для собаки важно соблюдение привычного режима, это снижает стресс. Расскажите о реальном режиме до заселения.
🔸 О проблемах в поведении стоит сообщите заранее. Это вопрос безопасности. Мы либо проинструктируем няню, либо подберем размещение у кинолога.
🔸 Актуальные прививки и обработки от паразитов- это не бюрократия, а необходимость.
🔸 Не стес…
🎬 Ищем собак-актеров! 🐾
Друзья, если вы хотите, чтобы ваш хвостик снимался в кино, рекламе, клипах или участвовал в мероприятиях, пожалуйста, заполните нашу анкету: @KinoSobaki_bot
Проектов много, и чтобы быстро рекомендовать вас, нам нужна удобная база.
📌 Два важных правила:
• Чем подробнее анкета, тем выше шанс получить роль!
• В приоритете собаки, которых мы знаем лично и за которых можем поручиться.
Ждем ваши…
🎁 Подарок-акция для подписчиков!
Хочешь освоить тренировки с собакой без спешки и с профессиональной поддержкой?
При подписке на челлендж по промокоду «Логи»
База упражнений за всё время в подарок к подписке🐶
3000₽ -> 1000₽
📱 Проходи их в своем темпе + поддержка кинолога на каждом шагу.
Какие команды мы уже разобрали?
✅ «Повторяй за мной»
✅ «В какой руке?»
✅ Расслабляющий коврик (не поисковый)
✅ Змейка задом-напе…
Пост, наполненный добротой🤍
Спасибо @DonbassSportDogs
От такого наворачиваются слёзы⛅️
«Хочу выразить огромную благодарность за помощь в изучении новых трюков.
Сегодня мы посетили детский дом.
Среди детей были и особенные детки (один мальчик слепой, он впервые в жизни погладил собаку, второй мальчик с ДЦП).
Спасибо от всего сердца, Вы внесли огромный вклад в нашу поездку❤❤❤❤»
#собачки_DoggyLogy
❤28👍19🔥18💯16🤩14👏1
Showing the 8 most recent of 8 posts we hold for @DoggyLogyChannel. 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
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Доги Логи | о питомцах🐶” (@DoggyLogyChannel), 1,509 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/DoggyLogyChannel.
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.
