5 measurements spanning 6 days, net -35. 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 5,675–5,720 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 15:46
5,680
-12
11 Aug 2026, 00:38
5,692
-17
7 Aug 2026, 21:58
5,709
-6
7 Aug 2026, 12:17
5,715
no change
7 Aug 2026, 12:08
5,715
first reading
Engagement
13 posts held, back to 25 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
3.72%
avg views ÷ 5,680 subscribers
Avg views / post
211
13 posts measured
Reaction rate
16.0%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 11 August 2026
Posts held
13 (25 July 2026 – 11 August 2026)
Views total
2,748
Reactions total
439
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:57 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
439 reactions across 13 posts, in 12 distinct kinds. The most used accounts for 33.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
145
33.0%
👍
101
23.0%
❤
91
20.7%
🙏
24
5.47%
👌
20
4.56%
✍
13
2.96%
😍
13
2.96%
❤🔥
10
2.28%
👏
9
2.05%
🎉
8
1.82%
💯
4
0.911%
🥰
1
0.228%
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 13 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 439reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 25 July 2026 to 11 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 13 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ProRechLC. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 13 most recent posts we hold for this entry, published 25 July 2026 to 11 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Переходим от простых слов к сложным. Как?
После того, как у ребенка появляются первые простые слова, родители задаются вопросами: когда переходить к трем слогам и как вводить слова, где согласные стоят рядом («стол», «кран»)?
Закрепляем двухсложные слова с разными согласными
(если ребенок уже уверенно повторяет «па-па», «ба-ба», «ма-ма»)
Наша задача менять первый слог, оставляя второй неизменным (киса, оса, лиса, к…
Сыну 1 год 11 месяцев, кроме базовых слов из серии мама, папа, баба, деда, дай, разных звукоподражаний, все остальные слова говорит по одной аналогии, например, петух - пепе, тесто - тете, мишка - мими, хотя недавно начал говорить "пока", но не к месту, просто тренирует сам произношение в рандомные моменты
Несколько дней назад в другом городе, пока были в отпуске, сходили к логопеду, который согласился взять на диагн…
Вот и пролетела неделя одного из самых эстетичных отпусков ✈️
Турция для меня — территория исхоженная, была почти везде. Так что, если вам нужен совет по отелям или регионам — не стесняйтесь, обращайтесь 😉
А теперь про Бодрум. Впервые — и сразу в самое сердце.
Это невероятно живописное место: бирюзовые бухты, сосны, лазурная гладь, белые домики, ветер с парусом. Сюда хочется возвращаться снова и снова... но море зд…
Я бы очень хотела продолжить делиться полезностями, но… муж подарил мне поездку в Бодрум, так что я официально ухожу в отпуск на несколько дней. Буду дышать морем, любоваться красотами и набираться сил.
Канал немного притихнет, но я с вами мысленно. Обещаю вернуться с новыми идеями и хорошим настроением! Не теряйте, скоро вернусь 🫶
А пока расскажите, а лучше покажите, где уже успели побывать этим летом?
Игры на развитие пространственной ориентировки (3+)
Для чего предлагать?
Учить ребенка различать лево и право - одна из важных задач в развитии. Даже у детей без речевых проблем - формирование пространственных представлений имеет трудности.
Чтобы у ребёнка закрепились понятия «право» и «лево», нужно регулярно оперировать этими словами в повседневной речи.
Как предлагать?
Выполняем задания. Постепенно задачу усложн…
Случай из практики
Ко мне пришли родители мальчика 5 лет. Мальчик яркий, смышленый, но в группе и на занятиях он постоянно употреблял нецензурные слова. Воспитатели писали жалобы, родители других детей требовали исключить мальчика.
На первой встрече я не стала читать нотации о «плохих словах». Я спросила мальчика: «Когда ты говоришь такие слова, что чувствуешь?». Он ответил: «Силу. Все смотрят и боятся меня».
Проб…
Игры, чтобы убрать мат и научить ребенка выражать гнев словами
Эти игры работают на расширение эмоционального словаря и замещение агрессивных высказываний.
👝«Мешочек злости»
Возьмите обычный тканевый мешочек или наволочку. Объясните ребенку:
— Когда ты злишься, в тебе живет «колючий шарик». Давай выдувать его в мешочек!
Правила:
🎞️Ребенок кричит в мешочек все, что хочет (можно «б…я» — разрешите в этом контексте!).
…
Почему ребенок ругается? Причины «плохих» слов
Давайте попробуем разобрать истинные механизмы речевой агрессии.
За любым «плохим» словом у ребенка стоит нехватка:
🔜Словаря эмоций
Ребенок не знает, как сказать «я разъярен», «меня унизили», «мне обидно». Мат — самый легкий способ выпустить пар, потому что он энергетически заряжен.
🔜Регуляторных навыков
В 3–5 лет кора головного мозга еще незрелая, импульс идет раньше…
Сегодня хочу разобрать один очень интересный вопрос, который, на первый взгляд, должен быть адресован не логопеду, а психологу. Но мне очень захотелось ответить на него и развить эту тему.
Дочь 4,5 года. Воспитательница жалуется, что она матерится в группе. Дома мы такие слова не произносим, даже в ссорах. Откуда это взялось? И что с этим делать? Я в шоке и безумно стыдно.
Откуда взялось:
1️⃣Сад
Дети — как губки. …
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤6👍6🙏6🔥3
Showing the 12 most recent of 13 posts we hold for @ProRechLC. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 13 most recent posts we hold, published 25 July 2026 to 11 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 1,265,562 of 1,345,403entries 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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
“ПроРечь” (@ProRechLC), 5,680 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/ProRechLC.
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.