Telegram RegisterThe public register of Telegram
Telegram profile photo for РУКОВОДИТЕЛЮ на ЗАМЕТКУ

Channel

РУКОВОДИТЕЛЮ на ЗАМЕТКУ

@ElenaBBocharova

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

296subscribers

+0 since we began measuring on 10 August 2026

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

Register entry

Telegram ID-1001889516157
TypeChannel
Username@ElenaBBocharova
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live17 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/ElenaBBocharova

Growth

295296295.510 August 2026 — 296 subscribers10 August 2026 — 296 subscribers11 August 2026 — 295 subscribers17 August 2026 — 296 subscribers10 August 202617 August 2026
4 measurements spanning 7 days. 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 295–296 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 15:07296+1
11 Aug 2026, 01:22295-1
10 Aug 2026, 05:00296no change
10 Aug 2026, 04:46296first reading

Engagement

19 posts held, back to 13 February 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
12.2%
avg views ÷ 296 subscribers
Avg views / post
36.3
4 posts measured
Reaction rate
5.17%
reactions ÷ views · ER floor
Posts in window
4
of 19 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 3 of 4 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 3 August 2026
Posts held19 (13 February 20263 August 2026)
Views total145
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 05:00 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 14s
Average length
45s

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

69 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 46.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3246.4%
🔥1826.1%
1115.9%
22.90%
❤‍🔥22.90%
👏22.90%
👌11.45%
🙏11.45%

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 17 of the 19 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 69reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 13 February 2026 to 3 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

3 Aug 2026, 11:49 UTC24 views1 reactionsread 10 August 2026
Photo

КОД СОБСТВЕННИКА "Я понимаю, что должен заниматься стратегией, но каждый день снова в операционке». За этим следует запрос: «Научите делегировать». Но делегирование — не решение, а следствие. Если человек не делегирует, есть системные причины. Операционка — индикатор рассогласования этапа компании, уровня зрелости собственника, готовности системы и внешней среды. Продолжение в моей статье здесь. #Операционка #К

👍1

Signed Elena

28 Jul 2026, 11:27 UTC29 viewsread 10 August 2026

Мой канал КОД МЕСТА в приложении «Сплетни»! Аудио подкасты о Санкт-Петербурге, городе, качестве жизни: https://augossip.ru/c/019fa833-2141-74fa-9409-24a66bbe1db0

Signed Elena

21 Jul 2026, 15:12 UTC51 views3 reactionsread 10 August 2026
Forwarded from @Oskar_Hartmann

Пожелай себе сильного конкурента! Изучая истории невероятных человеческих достижений, быстро становится понятно: там почти всегда присутствует конкуренция. Только сильная конкуренция способна выжать из человека такой уровень усилий и действий. Это основа основ капитализма, но не только. Когда я шел на мировой рекорд в indoor-гребле, у меня был сумасшедший австралийский конь-конкурент. И мы вдвоём ушли очень далеко

👍3

Signed Elena

21 Jul 2026, 15:12 UTC41 views2 reactionsread 10 August 2026

Сильный конкурент придаёт вам энергии и сил? Ниже - мнение Оскара Хартманна. #КодЕлены #РуководителюНаЗаметку #КодМеста

👍2

Signed Elena

1 Jul 2026, 16:07 UTC69 views4 reactionsread 10 August 2026
Photo

КОД МЕНЕДЖМЕНТА 1.7.2026 Я только что шла по Каменностровскому проспекту на Петроградской стороне. Шла и увидела группу с экскурсоводом. Группа стояла спиной к зданию, экскурсовод стояла лицом к нему и что-то рассказывала. Люди переминались с ноги на ногу, кто-то смотрел в телефон, кто-то просто ждал, кто-то всё-таки внимательно смотрел на экскурсовода. Я сразу узнала эту картину. Потому что я гид-переводчик с 199

👍4

Signed Elena

30 Jun 2026, 13:45 UTC63 views2 reactionsread 10 August 2026
Photo

СберУниверситет начал издание журнала о менеджменте. Доступен онлайн: research.sberuniversity.ru/journal?ut... Над изданием работала команда, ранее выпускавшая Harvard Business Review. Тематика - самая актуальная: стратегия, люди, инновации и, конечно, ИИ. Ожидаемый функционал: ИИ помощник поиска и ответов по запросу. Пролистала журнал, считаю, что это must-read. Делюсь двумя цитатами: 1. Джон Кинг о лидерстве

2

Signed Elena

16 Mar 2026, 12:25 UTC147 viewsread 10 August 2026

ЗАМЕТКА 16.03.2026 Москва, Моховая, 11. Вы здесь бывали? За этим фасадом - первый Психологический институт России. Его создал профессор философии Челпанов на деньги мецената Щукина. Сложная судьба Челпанова: взлёт, забвение, утерянная могила… Но место помнит! Смотрим новый выпуск моих друзей из ПСИХФАКТа! (См. ниже) ⬇️ #КодМеста #ПИРАО #Челпанов #Щукин

Signed Elena

16 Mar 2026, 12:25 UTC189 views7 reactionsread 10 August 2026
Forwarded from @psihfactVideo

Друзья, сегодня необычный выпуск психфакт в истории - для многих, я уверена, это информация будет открытие, кого можно по праву считать основателем психологии в России 🙌 Эпизод про Георгия Ивановича Челпанова, рождённого в Мариуполе, который преподавал в Москве и Киеве и который открыл институт психологии при МГУ на Моховой ☝️ А я, в начале года, записывала эпизод, с его правнучкой, Еленой Бочаровой ❤️

6👍1

Signed Elena

12 Mar 2026, 16:51 UTC160 views4 reactionsread 10 August 2026
Photo

ЗАМЕТКА 12.03.2026 19 марта, следующий четверг - новый выпуск моей авторской программы КОД МЕСТА. В выпуске 19 марта, четверг, вместе с оперной певицей Анной-Марией Матис, солисткой Мариинского театра и общественным деятелем, исследуем феномен тактического урбанизма. Как из нескольких роз вырастает устойчивое сообщество соседей? И почему оперная певица, привыкшая к сцене, оказалась идеальным лидером городского про

👍31

Signed Elena

27 Feb 2026, 09:15 UTC164 views5 reactionsread 10 August 2026
Photo

ЗАМЕТКА 27.02.2026 Увидела в соцсетях результаты эксперимента: блогер задал провокационный вопрос по теме менеджмента ChatGPT и поделился его ответами. ИИ дал конкретные рекомендации. Как написал сам блогер: «Ответ вас шокирует!» Я решила уточнить ответ на этот же вопрос у DeepSeek‘а. Делюсь результатами. Ответ вас шокировал?! Итак, Вопрос из поста блогера: Если бы ты был боссом, как бы ты заставил людей паха

🔥3👍2

Signed Elena

25 Feb 2026, 12:23 UTC118 views4 reactionsread 10 August 2026
Photo

ЗАМЕТКА 25.02.2026 Наращиваем общественный капитал! На днях опубликован «Стандарт общественного капитала бизнеса» (СОКБ) - свежий документ, разработанный по поручению Президента РФ и представленный Минэкономразвития России в феврале 2026 года. Как амбассадор устойчивого развития (в широком и в узком смысле) рада такому вниманию на высочайшем уровне страны к принципам цивилизованного ведения бизнеса с пользой для о

👍4

Signed Elena

24 Feb 2026, 19:22 UTC96 views4 reactionsread 10 August 2026
Photo

ЗАМЕТКА 24.02.2026 Готовлюсь к записи следующего подкаста КОД МЕСТА - изучаю книгу Рэя Ольденбурга «Третье место: кафе, кофейни, книжные магазины, бары, салоны красоты и другие места „тусовок“ как фундамент сообщества». Ценность высказывания Ольденбурга в том, что он доказывает фундаментальную важность этих «третьих» мест для здоровья города и общества. (Кстати, «первое место» - это дом, «второе место» - работа. А

2❤‍🔥2

Signed Elena

Showing the 12 most recent of 19 posts we hold for @ElenaBBocharova. 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 — 1,130,382 of 1,549,376entries 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.

Mentions

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

“РУКОВОДИТЕЛЮ на ЗАМЕТКУ” (@ElenaBBocharova), 296 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/ElenaBBocharova.

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.