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Channel

Дневник травницы: работа над ошибками

@dnevnik_trav

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

39subscribers

+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-1004427142739
TypeChannel
Username@dnevnik_trav
CreatedBetween 1 June 2026 and 25 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/dnevnik_trav

Growth

3539377 August 2026 — 35 subscribers10 August 2026 — 35 subscribers15 August 2026 — 39 subscribers7 August 202615 August 2026
3 measurements spanning 7 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 34–40 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 02:1239+4
10 Aug 2026, 23:3135no change
7 Aug 2026, 19:4235first reading

Engagement

20 posts held, back to 25 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
279.5%
avg views ÷ 39 subscribers
Avg views / post
109
16 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 5 of 16 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 10 August 2026
Posts held20 (25 July 202610 August 2026)
Views total1,744
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 23:31 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.

Reaction mix

9 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 77.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
777.8%
🔥222.2%

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 20 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 25 July 2026 to 10 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

10 Aug 2026, 18:48 UTC7 viewsread 10 August 2026
File

Хочу поделиться с вами вот таким интересным материалом

7 Aug 2026, 18:35 UTC15 views1 reactionsread 10 August 2026

🌿 Работа над ошибками №1: «Мужской горный чай» с маркетплейсов Продавец обещает, что сбор:"Повышает тестостерон. Усиливает потенцию. Укрепляет иммунитет." Такие обещания сегодня можно встретить практически под каждым вторым «мужским» травяным сбором. Натуральный состав внушает доверие, а слова «горные травы» создают ощущение особой силы. Но давайте посмотрим на этот рецепт другими глазами. Состав: Чабан-чай, чабрец

1

7 Aug 2026, 17:56 UTC14 viewsread 10 August 2026

Всем Доброго Здравия. Мы много говорим о показаниях к травам, но совсем забываем о противопоказаниях. Вот небольшой список часто применяемых растений. Будьте Здоровы. Обязательно учитывайте противопоказания при использовании трав, но и не забывайте про индивидуальные особенности организма. С Любовью❤️, ваша Травница Ольга Юрьевна ☄️ПРОТИВОПОКАЗАНИЯ☄️ 🌿Аир болотный – гастрит с повышенной кислотностью (хотя при язв

7 Aug 2026, 17:56 UTC7 viewsread 10 August 2026

🌿Душица обыкновенная – гипотония, кровотечения (эта травушка «разжижает» кровь), беременность, гастрит с повышенной кислотностью. Душица повышает эстроген, поэтому она не рекомендована женщинам с болезнями, возникающими на фоне повышенного уровня эстрогена, а также не рекомендовано мужчинам для ДЛИТЕЛЬНОГО приёма. 🌿Зверобой – беременность, гипертония, высокая температура. Нельзя сочетать зверобой с сердечными препар

7 Aug 2026, 17:56 UTC11 viewsread 10 August 2026

🌿Облепиха – после перенесённого гепатита, обострение панкреатита или холецистит, камни в мочевом, подагра и мочекаменная болезнь. 🌿Одуванчик - язва, гипотония. С осторожностью при камнях в желчном (могут сдвинуться и забить протоки). 🌿Осина – запоры, низкое давление, кровотечения (осина «разжижает» кровь), беременность. С осторожностью при камнях в желчном (могут сдвинуться и забить протоки). 🌿Омела белая - гипото

7 Aug 2026, 17:56 UTC15 viewsread 10 August 2026

🌿Чага – беременность, фаза обострения воспаления кишечника или болезней почек, серьёзная стадия остеопороза. Не рекомендуется людям с аутоиммунными заболеваниями. 🌿Череда - беременность и грудное вскармливание, гипотония, диарея, нервная перевозбудимость и расстройство сна, детям до 12 лет. 🌿Чистотел – гипотония, беременность, эпилепсия, тяжёлые заболевания сердца или печени, обострение астмы. Ядовит. 🌿Шалфей лека

31 Jul 2026, 10:42 UTC224 views1 reactionsread 10 August 2026
Photo

🌿 Работа над ошибками: почему не существует универсального сбора для ЖКТ🌿 Спасибо нашей подписчице за доверие и отличный вопрос! Стремление «погасить воспаление и заживить» похвально, но в клинической фитотерапии самое слабое место подобных рецептов кроется не в том, что там «неправильные» травы, а в претензии на универсальность. При гастрите с повышенной кислотностью, ГЭРБ, атрофическом гастрите, СРК, язвенной бол

1

28 Jul 2026, 16:24 UTC318 viewsread 10 August 2026
Photo

Сегодня на разборе сбор из Интернета! Автор даже указал граммовки. НО! Мы его конечно же разберем. 🌿 Работа над ошибками: Настой при нервном тике🌿 ❌ Ошибки: ⏺Нарушение правил экстракции и индивидуальные реакции: Валериана (корень) содержит валереновую кислоту и валепотриаты, которые плохо переходят в воду при кратковременном (15–20 мин) настаивании кипятком. Кроме того, у части чувствительных людей валериана может

28 Jul 2026, 11:20 UTC273 viewsread 10 August 2026
Photo

🌿 Работа над ошибками: Монастырский чай от простатита для мужчин Состав: корень одуванчика, солодка, брусника, подорожник, спорыш трава, лист эвкалипта, шиповник, таволга , мята перечная лист, цветки календулы. 🔥 Ошибка: Состав содержит несколько спорных решений, которые могут снижать его эффективность и безопасность, особенно при длительном применении: ⏺Солодка (корень) содержит глицирризиновую кислоту. При длитель

27 Jul 2026, 08:50 UTC296 viewsread 10 August 2026
Photo

🌿 Работа над ошибками: «Тройчатка Иванченко» (Пижма, Полынь, Гвоздика) «Полынь + пижма + гвоздика» — самая известная противопаразитарная формула. Многие принимают ее самостоятельно, рассчитывая решить проблему одним курсом. Но с точки зрения клинической фитотерапии проблема не в самой идее. Проблема в том, что популярные схемы часто рассматривают противопаразитарную терапию как отдельное мероприятие, тогда как физио

Showing the 12 most recent of 20 posts we hold for @dnevnik_trav. 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 — 1,268,443 of 1,480,688entries 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.

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.

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

“Дневник травницы: работа над ошибками” (@dnevnik_trav), 39 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/dnevnik_trav.

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.