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Telegram profile photo for Елена Лаштабега

Channel

Елена Лаштабега

@elena_lashtabega

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

22,838subscribers

-143 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001455936308
TypeChannel
Username@elena_lashtabega
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/elena_lashtabega

Topic

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 62% 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 why it has no browse page of its own yet.

Growth

22,83822,98122,909.57 August 2026 — 22,981 subscribers7 August 2026 — 22,981 subscribers8 August 2026 — 22,975 subscribers9 August 2026 — 22,973 subscribers10 August 2026 — 22,970 subscribers11 August 2026 — 22,969 subscribers12 August 2026 — 22,967 subscribers13 August 2026 — 22,969 subscribers14 August 2026 — 22,960 subscribers16 August 2026 — 22,958 subscribers17 August 2026 — 22,950 subscribers18 August 2026 — 22,951 subscribers19 August 2026 — 22,938 subscribers20 August 2026 — 22,934 subscribers21 August 2026 — 22,923 subscribers22 August 2026 — 22,914 subscribers24 August 2026 — 22,906 subscribers25 August 2026 — 22,905 subscribers27 August 2026 — 22,904 subscribers28 August 2026 — 22,909 subscribers29 August 2026 — 22,902 subscribers30 August 2026 — 22,898 subscribers31 August 2026 — 22,890 subscribers1 September 2026 — 22,884 subscribers2 September 2026 — 22,881 subscribers3 September 2026 — 22,879 subscribers5 September 2026 — 22,874 subscribers8 September 2026 — 22,860 subscribers11 September 2026 — 22,850 subscribers13 September 2026 — 22,845 subscribers15 September 2026 — 22,844 subscribers17 September 2026 — 22,838 subscribers7 August 202617 September 2026
32 measurements spanning 41 days, net -143. 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 22,817–23,002 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 07:5722,838-6
15 Sept 2026, 04:5622,844-1
13 Sept 2026, 11:3622,845-5
11 Sept 2026, 13:5922,850-10
8 Sept 2026, 21:4022,860-14
5 Sept 2026, 16:5922,874-5
3 Sept 2026, 14:1722,879-2
2 Sept 2026, 06:0322,881-3
1 Sept 2026, 04:0422,884-6
31 Aug 2026, 06:2722,890-8
30 Aug 2026, 04:3422,898-4
29 Aug 2026, 04:3622,902-7
28 Aug 2026, 06:4222,909+5
27 Aug 2026, 05:3722,904-1
25 Aug 2026, 08:2222,905-1
24 Aug 2026, 11:2822,906-8
22 Aug 2026, 20:0522,914-9
21 Aug 2026, 08:3622,923-11
20 Aug 2026, 11:4922,934-4
19 Aug 2026, 12:2422,938first reading

Engagement

39 posts held, back to 20 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 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.63%
avg views ÷ 22,838 subscribers
Avg views / post
1,510
10 posts measured
Reaction rate
5.21%
reactions ÷ views · ER floor
Posts in window
10
of 39 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
WindowRolling 30 days · latest post in window 3 September 2026
Posts held39 (20 July 20263 September 2026)
Views total15,144
Reactions total789
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:56 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
2m 39s
Average length
40s

Measured directly from 4 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

3,310 reactions across 39 posts, in 25 distinct kinds. The most used accounts for 61.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2,03461.5%
🔥34410.4%
👍2176.56%
💯1334.02%
🙏1223.69%
❤‍🔥1213.66%
🎉742.24%
🥰692.08%
😁541.63%
🕊381.15%
💘341.03%
😍200.604%
🤣160.483%
👏90.272%
😘50.151%
🏆40.121%
👌40.121%
😱30.091%
20.06%
🤔20.06%
5 further kinds50.151%

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 39 of the 39 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 3,310 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 20 July 2026 to 3 September 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
2
across the posts below
Posts paid on
2
of 39 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @elena_lashtabega. 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 39 most recent posts we hold for this entry, published 20 July 2026 to 3 September 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.

Recent posts

3 Sept 2026, 11:53 UTC76 views5 reactionsread 3 September 2026

💡Если у вас есть рецепты и лайфхаки вкусных, быстрых, а главное полезных завтраков — делитесь здесь >СОБИРАЕМ РЕЦЕПТЫ<😉 Соберу ваши предложения воедино, добавлю любимые завтраки нашей семьи и опубликую сборник рецептов ❤️

🔥4😍1

3 Sept 2026, 11:52 UTC100 views7 reactionsread 3 September 2026

🧠Важность завтрака для работы мозга школьника. Существует немало когнитивных трудностей, которые начинаются … с тарелки. Сниженная концентрация внимания и скорость мышления, ухудшение памяти и восприятия, неусидчивость, вялость и так далее и так далее… Учеба — очень энергозатратный процесс и нашему мозгу нужно качественное топливо для выработки энергии. Берет он его, в первую очередь, из питания! ⠀ №1 — ГЛЮКОЗА! Эт

6🔥1

1 Sept 2026, 10:47 UTC≈1,480 views218 reactions1 Starread 3 September 2026

Часто разговоры взрослых про школу лишают ребенка всякой радости, превращаясь в бесконечную гонку за результатом. Важно помнить, что школьные годы - это не черновик жизни, это сама жизнь, которая происходит прямо сейчас. Пост писала 3 часа 🙈... может, что-то забыла или переборщила... ну, как есть)) Мысли для обсуждения: ✏️ Школьная жизнь - это не только учёба, это детство. Надо успевать жить и радоваться этой жизни

140🔥42❤‍🔥23🙏5👏4💯4

1 Sept 2026, 10:47 UTC≈1,370 views101 reactionsread 3 September 2026
Photo

1 сентября 📖. Младшая уже пятиклассница 🧡!!

76👍13🎉9😍3

30 Aug 2026, 09:45 UTC≈2,150 views161 reactionsread 3 September 2026
Video

Вчера наш Нейропсихологический Центр Пластичность отметил свой День рождения - 7 лет 🎂. Отмечали целые сутки) Всей командой заселились в Hilton, отправились в спа, поужинали, ночь гуляли по Москве, а потом дооолгие разговоры в номере до самого рассвета... У нас действительно невероятно сплоченный коллектив, нам это очень помогает в работе, ну и отдыхать вместе - одно удовольствие!!

65🥰46🎉37😍8🔥5

29 Aug 2026, 14:05 UTC≈2,090 views8 reactionsread 3 September 2026
Video message

Video message, posted without a caption

🕊71

29 Aug 2026, 14:05 UTC≈2,300 views97 reactionsread 3 September 2026

🚸 Вебинар «Школьные трудности. Ребёнок учиться не хочет или не может?» Год назад я проводила его в закрытом формате только для тех, кто подавался на Грант в мою профессиональную программу «Прикладная нейропсихология»🎓 А сегодня зашла на платформу своей онлайн-школы, увидела его и подумала — сейчас самое идеальное время поделиться им с вами ❤️‍🔥 Мы пройдёмся по каждой зоне мозга и разберемся - почему ребёнок может,

60🔥27🙏8👍2

28 Aug 2026, 17:25 UTC≈2,710 views76 reactionsread 3 September 2026
Photo

Photo, posted without a caption

👍4220💯14

28 Aug 2026, 17:24 UTC≈2,750 views114 reactionsread 3 September 2026

Посреди недели у меня выдалось пару выходных дней. План был прост: подготовиться к учебному году, разобрать завалы в шкафах, переделать все то, на что вечно не хватало времени. Эти пару дней я провела в компании, которую не назовешь обычной. Моим незримым спутником стал митрополит Тихон Шевкунов и его книга «Несвятые святые». Пока руки разбирали шкафы, до которых месяцами не доходили дела, душа проживала целую жизнь

93💯10🔥7🙏4

23 Aug 2026, 05:54 UTC≈4,070 views195 reactionsread 3 September 2026

Общеизвестная мудрость разбивается в пух и прах... Помните фразу: «Не воспитывайте детей: они все равно будут похожи на вас! Воспитывайте себя!» Эта фраза окончательно устарела. И на сегодняшний день стала даже опасным заблуждением 🤔. Раньше считалось: если ты успешен, умен, читаешь при ребенке книжки и занимаешься спортом, то ребенок автоматически «впитает» твой успех и привычки, просто находясь рядом. Типа, приро

❤‍🔥8462💯21👍17🔥6🙏5

20 Aug 2026, 19:28 UTC≈3,890 views92 reactionsread 3 September 2026
Photo

Самой уже нужно выстраивать режим 🤪, на дворе ночь, а я не могу оторваться от новой книжки - биографии Дягелева...

64👍18😍7🏆2🥴1

Showing the 12 most recent of 39 posts we hold for @elena_lashtabega. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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.

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.

Channels Telegram recommends alongside this one

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.

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@neuropsy_centr · 2,509
#1
Мария Каменецкая о нейропсихологии
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#2
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#3
Мудрое Движение центр нейропсихологии
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#4
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#5
НЕЙРОПСИХОЛОГ АНТОНИНА НАЗАРОВА
@neiropsihologtonypublik · 9,591
#6
Институт возрастной нейропсихологии
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#7
Екатерина Клемешева | детский нейропсихолог
@klemesheva_ekaterina · 5,233
#8
Нейропсихолог Архипенко София🧠
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#9
Говорит и показывает Масютина
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#10
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Rastemsumom
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Кристина Прошакова
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#25
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GreenLearn_new
@greenlearn_new · 7,688
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@stankevichru · 1,915
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Людмила Петрановская
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#48
Детский эрготерапевт
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#50
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#51
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#52
Нейровечеринка🥳
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Волшебные дети ✨
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Монтессори дома
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Доктор Анна Читанава
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ПРО ШКОЛЫ
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Превентивная неврология
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САМ СМОГУ
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Простые Правила
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МедиаNeirodom
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Юля о детях 🤍
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@jugglingme · 3,186
#78
Радио и Театр
@oldradioteatr · 111,625
#79
Lena.Kruglova_logo
@lenakruglovalogo · 547 (as read 19 September 2026)
#80
За чашкой чая о важном простыми словами
@iqsclub · 1,085
#81
Детский нейропсихолог Инга Павлова 🧠
@inga_pavlova_neiro · 358
#82
Kids Club. Стрелец-Молодец
@streletskids · 49,300
#83
Мама БЕЗ ДОКТОРСКОЙ
@bezdoktorskoy · 6,392
#84
Школа Ахутиной
@akhutina_tv · 9,145
#85
Медгруппа Фэнтези
@dentalfantasy1 · 5,628
#86
Праздновать жизнь!
@serebryakovamaria_psy · 1,241
#87
Прогревочная Юли Сафоновой
@progrevochnaya · 521
#88
Mamazanuda
@mamazanuda · 5,121
#89
Мечтальня
@merryhomestory · 10,332
#90
ОТ 0 И ДО 6 👣
@dosugsmalyshom · 5,600
#91
Masha Turagent
@masha_turagent · 56,782
#92
igroprofi
@igro_profi · 5,725
#93
Накорми меня, если сможешь
@nakormi_menya · 16,672
#94
Агата читает книжку
@agathaisreadingabook · 8,970
#95

Read from Telegram’s recommendation API, most recently 19 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.

Appears in Telegram’s recommendations for other channels

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.

Валентина Паевская
@valentinapaevskaya · 230,771
Telegram ranks this channel #36 of 85 here — alongside 84 others — read 11 August 2026
Регина Доктор | Здоровье
@regina_doctor · 108,107
Telegram ranks this channel #51 of 89 here — alongside 88 others — read 14 August 2026
Биомеханика.Дети
@BIOMEHANICA · 32,212
Telegram ranks this channel #61 of 84 here — alongside 83 others — read 5 September 2026
Регина Доктор | Женщина и бизнес
@reginadoctor · 21,906
Telegram ranks this channel #68 of 87 here — alongside 86 others — read 22 September 2026
Радио и Театр
@oldradioteatr · 111,625
Telegram ranks this channel #85 of 91 here — alongside 90 others — read 14 August 2026
УмноШкола Шамиля Ахмадуллина
@knshu23 · 67,496
Telegram ranks this channel #86 of 92 here — alongside 91 others — read 20 August 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Елена Лаштабега” (@elena_lashtabega), 22,838 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/elena_lashtabega.

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.