File, posted without a caption
❤34🔥5

Channel
@leralogunovatut
On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
20,117subscribers
+313 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001829963007 |
|---|---|
| Type | Channel |
| Username | @leralogunovatut |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/leralogunovatut |
Health & wellness — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 16:19 | 20,117 | -7 |
| 7 Nov 2026, 09:56 | 20,124 | +1 |
| 6 Nov 2026, 12:17 | 20,123 | +14 |
| 5 Nov 2026, 09:30 | 20,109 | +4 |
| 4 Nov 2026, 07:29 | 20,105 | -7 |
| 3 Nov 2026, 08:39 | 20,112 | -1 |
| 2 Nov 2026, 08:01 | 20,113 | -10 |
| 1 Nov 2026, 09:37 | 20,123 | -1 |
| 31 Oct 2026, 09:30 | 20,124 | -1 |
| 30 Oct 2026, 10:56 | 20,125 | +10 |
| 29 Oct 2026, 09:56 | 20,115 | +6 |
| 28 Oct 2026, 06:27 | 20,109 | +8 |
| 27 Oct 2026, 07:06 | 20,101 | +5 |
| 26 Oct 2026, 03:27 | 20,096 | -2 |
| 25 Oct 2026, 01:47 | 20,098 | +10 |
| 23 Oct 2026, 22:41 | 20,088 | +18 |
| 22 Oct 2026, 20:37 | 20,070 | +11 |
| 21 Oct 2026, 15:30 | 20,059 | +18 |
| 20 Oct 2026, 15:18 | 20,041 | +7 |
| 19 Oct 2026, 11:40 | 20,034 | first reading |
43 posts held, back to 17 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 68 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 43 (17 July 2026 – 8 November 2026) |
| Views total | 82,250 |
| Reactions total | 1,618 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 15:21 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.
6,756 reactions across 43 posts, in 29 distinct kinds. The most used accounts for 59.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4,004 | 59.3% | |
| ❤🔥 | 745 | 11.0% | |
| 🔥 | 681 | 10.1% | |
| 👍 | 491 | 7.27% | |
| 💯 | 294 | 4.35% | |
| 👏 | 217 | 3.21% | |
| 💘 | 69 | 1.02% | |
| 👌 | 54 | 0.799% | |
| 💋 | 53 | 0.784% | |
| 🥰 | 36 | 0.533% | |
| 🤩 | 12 | 0.178% | |
| ✍ | 11 | 0.163% | |
| 😢 | 11 | 0.163% | |
| 😁 | 9 | 0.133% | |
| 🙏 | 9 | 0.133% | |
| 😍 | 8 | 0.118% | |
| 🎉 | 7 | 0.104% | |
| 🏆 | 7 | 0.104% | |
| 🤗 | 7 | 0.104% | |
| 😇 | 6 | 0.089% | |
| 9 further kinds | 25 | 0.37% |
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 43 of the 43 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 6,756 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 17 July 2026 to 8 November 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’s own ‘edited’ marker: 0 of 16 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
File, posted without a caption
❤34🔥5
📌 ПЛАНЫ ТРЕНИРОВОК НА 09.11–15.11 Файлы с расписанием на эту неделю на 5 дней (начинающий, средний, продвинутый) прикрепила ниже 👇🏼 ⭐ Хочешь тренироваться 3 раза в неделю и получить сразу весь месяц? В нашем закрытом Клубе уже вышли все 6 вариантов планов на месяц вперед! 🥳 👉🏼 Присоединиться к Клубу: https://t.me/LLF_Club_Bot 📍 Новые тренировки выходят на YouTube по понедельникам в 4:00 по Москве. 📌 Есть вопросы …
❤22❤🔥1
Комментарий к моему посту «Как питаюсь я»: «...не понимаю, что плохо в жирах. Кому-то они жизненно необходимы, и в целом жиры — это женское здоровье. По мне так лучше быть здоровой, чем худой...» Спойлер: я не призывала отказываться от жиров. Я просто поделилась своим рационом, но комментатор нашел скрытый смысл, которого там не было 🙂 Существуют разные типы питания — например, кето или низкоуглеводные диеты, где …
❤82👍20👏8❤🔥2
Получила такой комментарий к одному из прошлых постов: «...Майонез сметаной или греческим йогуртом не заменишь — у продуктов просто очень разные вкусы. Ягоды — вкусно, но это "лёгкая" еда, они всё равно не ощущаются заменой, если тянет на что-то "тяжёлое"...» Кстати, я никогда не говорила заменять майонез сметаной. Густой нежирный йогурт вместо сметаны — да. Легкий майонез вместо классического — да. Но обо всем по …
❤67👍24👏8❤🔥2
Привет! Всем отличного ноября! 🌦️ Сегодня на моём канале вышла быстрая 10-минутная тренировка на ягодицы с фитнес-резинкой. 30 секунд на каждое упражнение, без перерывов. Подойдёт для любого уровня подготовки — просто выберите подходящее для себя сопротивление резинки: чем слабее резинка, тем легче, чем туже — тем сложнее. Эта тренировка отлично подойдёт для: • Активации ягодиц — идеальная разминка, чтобы включит…
❤58👍33❤🔥11👏4🤩3🏆2💋1
File, posted without a caption
❤58🔥17
📌 ПЛАНЫ ТРЕНИРОВОК НА 02.11–08.11 Файлы с расписанием на эту неделю на 5 дней (начинающий, средний, продвинутый) прикрепила ниже 👇🏼 ⭐ Хочешь тренироваться 3 раза в неделю и получить сразу весь месяц? В нашем закрытом Клубе уже вышли все 6 вариантов планов на месяц вперед! 🥳 👉🏼 Присоединиться к Клубу: https://t.me/LLF_Club_Bot 📍 Новые тренировки выходят на YouTube по понедельникам в 4:00 по Москве. 📌 Есть вопросы …
❤31❤🔥2🥰1
«Я ничего не ем и не худею!» — часть 2 В прошлый раз мы разобрали невидимые калории, а сегодня хочу рассказать историю своей знакомой. Она худеет примерно столько, сколько мы с ней знакомы — лет 15. Когда я только начинала работать тренером, она пришла ко мне. Я предложила ей считать калории. Через время она сказала: «Это сложно, занимает кучу времени, да и вообще у меня за день даже 1000 ккал не набирается!» Тогд…
❤102🔥30👏14💯9😱6🥰4😁3
Как питаюсь я? 👀🍝🍣🥘🧁 Я уже давно не считаю калории и БЖУ. Но когда только начинала тренироваться, достаточно долго провела за этим делом. Мне кажется, это очень полезно — хотя бы на пару месяцев, но только если считать всё честно. Я офигела, сколько жиров ела и как мало белка! Сейчас я примерно понимаю, сколько чего мне нужно. Завтрак всегда плотный — я его обожаю. Часто мы с мужем подсаживаемся на что-то одно и мо…
❤108👍29❤🔥13👏3
Привет! Сегодня на моем канале вышла новая тренировка на все тело с фитнес-резинками 💪🏼 В видео я использую две мини-резинки: • Более плотная тканевая — для нагрузки на ягодицы и ноги. • Более легкая латексная — для проработки рук, плеч и мышц верхней части тела. Тренировка подходит для любого уровня подготовки — просто выберите резинки с комфортным для вас уровнем сопротивления. А как проходят ваши тренировки? 😊
❤86👏16🔥9👍6😁4❤🔥3🥰1
File, posted without a caption
❤56👍4🥰3❤🔥1
📌 ПЛАНЫ ТРЕНИРОВОК НА 26.10–01.11 Файлы с расписанием на эту неделю на 5 дней (начинающий, средний, продвинутый) прикрепила ниже 👇🏼 ⭐ Хочешь тренироваться 3 раза в неделю и получить сразу весь месяц? В нашем закрытом Клубе уже вышли все 6 вариантов планов на месяц вперед! 🥳 👉🏼 Присоединиться к Клубу: https://t.me/LLF_Club_Bot 📍 Новые тренировки выходят на YouTube по понедельникам в 4:00 по Москве. 📌 Есть вопросы …
❤29❤🔥7👏6
Showing the 12 most recent of 43 posts we hold for @leralogunovatut. 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 29 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“Лера Логунова Фитнес” (@leralogunovatut), 20,117 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/leralogunovatut.
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.