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Channel

Julli.nowa

@jullinowa

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

306subscribers

+4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003725796165
TypeChannel
Username@jullinowa
CreatedBetween 1 February 2026 and 12 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live22 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/jullinowa

Growth

3003063037 August 2026 — 302 subscribers8 August 2026 — 300 subscribers8 August 2026 — 300 subscribers15 August 2026 — 304 subscribers22 August 2026 — 306 subscribers7 August 202622 August 2026
5 measurements spanning 15 days, net +4. 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 299–307 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 14:03306+2
15 Aug 2026, 12:24304+4
8 Aug 2026, 08:02300no change
8 Aug 2026, 07:10300-2
7 Aug 2026, 09:33302first reading

Engagement

15 posts held, back to 12 July 2026the 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
23.9%
avg views ÷ 306 subscribers
Avg views / post
73.1
14 posts measured
Reaction rate
8.36%
reactions ÷ views · ER floor
Posts in window
14
of 15 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. It is computed over the 12 of 14 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held15 (12 July 20267 August 2026)
Views total1,024
Reactions total76
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 08:02 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
16m 18s
Average length
5m 26s

Measured directly from 3 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

86 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4350.0%
2427.9%
💯1112.8%
👍89.30%

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 13 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 86reactions 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 12 July 2026 to 7 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.

Recent posts

7 Aug 2026, 20:36 UTC42 views4 reactionsread 8 August 2026
Photo

Подышала в свою дыхательную летающую тарелку :)

👍4

7 Aug 2026, 19:37 UTC59 views2 reactionsread 8 August 2026
Photo

табличка - мощь! :)) села заполнять, и вспомила, что еще не сделала дыхательную практику) иду делать! без таблички и забыла бы и забила бы:)

2

7 Aug 2026, 19:31 UTC41 viewsread 8 August 2026

Только написала пост, и снова запах дыма, блин. Значит не потушили еще(

7 Aug 2026, 19:25 UTC46 views0 reactionsread 8 August 2026
Photo

У нас в округе вроде все потушили. А еще, у нас прошел дождь! Не очень долгий, но вы даже не представляете какой он был долгожданный и нужный. А я смотрю все эти видосы с пожарами и у меня птср после прошлогоднего пожара на нашем участке. Я теперь когда чувствую даже еле уловимый запах дыма - у меня сразу подсознательная тревога включается. Участок уже полностью восстановился (кроме деревьев, которые горели они в

7 Aug 2026, 13:51 UTC54 views9 reactionsread 8 August 2026
Photo

Переживала, что не получается снять новые тренировки на следующую неделю (из-за лесных пожаров запах гари на улице, в такой обстановке снимать опасненько для дыхательной системы). Но сегодня запаха нет, и я, воспользовавшись утренней прохладой (+29° хихи) сняла таки тренировочку! Сейчас чуть потеплело, +40° в тени 🥵 Надеюсь новые пожары не возникнут. Хотя пару часов назад над нами пролетал вертолет (тушат пожары).

5👍4

6 Aug 2026, 19:26 UTC72 views5 reactionsread 8 August 2026
Photo

А вы знали, что в тг теперь можно таблички делать?:) Я сделала таблицу своих активностей, веду с 1 августа. Очень дисциплинирует, рекомендую! :)

3🔥2

6 Aug 2026, 14:58 UTC77 views7 reactionsread 8 August 2026

Вот оно какое наше лето…🕺 +38 в тени И лесные пожары в округе начались. Сегодня пришлось все окна/двери закрыть, из-за запаха гари. А ведь ночь - это единственная возможность хоть как то проветрить дом. Днем нет смысла открывать окна, даже наоборот, сразу дом превратится в баню. Поэтому днем все наглухо закрыто. А теперь и ночью, из-за пожаров. Вот для чего нужно тренировать сосудистую систему, кстати)) Чтобы тело

🔥52

5 Aug 2026, 17:36 UTC90 views15 reactionsread 8 August 2026
Photo

У всего есть «год спустя», «10 лет спустя».. На фото, в левом верхнем углу - это наш пустой участок 13 лет назад. Остальные фото - это сейчас. Я помню свои мысли тогда: казалось, что ждать слишком долго и деревья будут расти вечность (многие из них я сажала буквально из семян). Время пролетело, но каков результат! Сколько классных деревьев выросло:) Оглядываясь назад, я понимаю, что ровно те же принципы работают

💯11🔥4

4 Aug 2026, 19:38 UTC95 views11 reactionsread 8 August 2026
Photo

А ещеее… Вот буквально только что доделали калькулятор метаходьбы! Для расчета скорости похудения на метаболической ходьбе! В зависимости от того, сколько тренировок вы готовы делать (то, о чем я сегодня записывала видео, теперь калькулятор сам автоматически это посчитает под ваши цели) ССЫЛКА НА КАЛЬКУЛЯТОР

🔥11

4 Aug 2026, 19:38 UTC94 views7 reactionsread 8 August 2026
Photo

Кстати, я не говорила, но в период моего отсутствия, я переименовала свой клуб (теперь это клуб NowaFit) и мы доделали под него сайт! ⛓ NOWAFIT.RU Теперь вся инфа по тренировкам Клуба есть на сайте:) ▶️Можно посмотреть рекомендации с каких тренировок начать (для разных целей и состояний) ▶️Почитать подробную инфу про каждое направление клуба ▶️Почитать отзывы участниц ▶️Посмотреть мои дипломы, в конце концов :)

🔥7

Showing the 12 most recent of 15 posts we hold for @jullinowa. 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.

Citation-graph rank

Citation-graph rank — 550,349 of 1,622,129entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“Julli.nowa” (@jullinowa), 306 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/jullinowa.

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.