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Channel

Филипп Чистяков в поисках WOW

@phichibook

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

92subscribers

+2 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002152540394
TypeChannel
Username@phichibook
CreatedBetween 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live10 September 2026
Measurements held4
Confirmed unchanged4 times, most recently 10 September 2026
On Telegramt.me/phichibook

Growth

9092918 August 2026 — 90 subscribers8 August 2026 — 91 subscribers9 August 2026 — 91 subscribers16 August 2026 — 92 subscribers8 August 202616 August 2026
4 measurements spanning 9 days, net +2. 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 90–92 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 19:3792+1
9 Aug 2026, 14:1691no change
8 Aug 2026, 13:4791+1
8 Aug 2026, 00:0690first reading

Engagement

8 posts held, back to 27 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 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 06s
Average length
1m 06s

Measured directly from 1 video 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 reactions across 1 post, in 3 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
133.3%
👍133.3%
🔥133.3%

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 1 of the 8 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 27 July 2026 to 5 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

5 Aug 2026, 07:25 UTC20 viewsread 9 August 2026
Photo

Пока я придумываю как развивать центр оценки компетенций, Мо Гавдат из Гугла говорит, что через паузу человека нужно будет оценивать только совместно с его ИИ.

3 Aug 2026, 12:51 UTC26 viewsread 9 August 2026
Photo

Что меня зацепило в отчёте McKinsey и Business of Fashion — The State of Fashion 2026 Не цифры. Не графики. Даже не тарифы - хотя они там, конечно, жгут напалмом. Меня зацепило, что этот отчёт - идеальный слепок того, что происходит, когда старые правила умирают, а новые ещё не родились. И это состояние, которое я бы назвал «точкой исчезновения старых оснований». Давайте пройдёмся по нему через 4 основания WOW. 1. Д

30 Jul 2026, 07:04 UTC42 viewsread 9 August 2026
Photo

Привет! Сегодня поговорим о дружбе, френдфляции и ИИ. Тема, на которую меня вывела книга «Простой сложный разговор» и несколько цифр из исследований, которые попались мне на глаза. Начну с цифр, они тревожные. Доля людей, у которых нет друзей, выросла с 11 до 16% за десять лет. В 2025 году 40% россиян сказали, что одиноких людей вокруг стало больше. А среди молодых (17–35) 69% признались, что отказывались от встреч

29 Jul 2026, 20:21 UTC34 views3 reactionsread 9 August 2026

А тут мы приглашаем всех на день выпускника СПБГУ 12 сентября. У нашего подкаста будет отдельная секция с историями😎

1👍1🔥1

29 Jul 2026, 20:21 UTC35 viewsread 9 August 2026
Forwarded from @spbu_gradsVideo

Почему выпускники СПбГУ продолжают быть на связи с Университетом? 🎓 Что такое сообщество выпускников и как можно участвовать в его жизни? В этом году мы рассказывали об этом прямо на церемониях вручения дипломов — с помощью этого видео. Михаил Мун, Анастасия Зубова, Филипп Чистяков и Дарья Мальцева — выпускники разных факультетов и разных лет — рассказали, почему остаются частью университетского сообщества и чем за

28 Jul 2026, 07:27 UTC41 viewsread 9 August 2026
Photo

Формула тренда по методологии Rapid foresight. Вдруг понял, что постоянно рассказываю вам про тренды, но ни разу мы не проговорили, что это такое. Исправляюсь. Вот вам формула тренда от Rapid foresight`а: тренд= рост/снижение + явление + где происходит. Пример: снижение рождаемости в Европе. Мне кажется, это очень хороший пример технического подхода к вопросу. Кроме того, в карточке я указал некоторые свойства т

27 Jul 2026, 07:21 UTC40 viewsread 9 August 2026
Poll

Выбираем тренд недели в теме внутренних коммуникаций.

  1. 1. Коммуникация через руководителей - как главный канал трансляции смыслов.40%
  2. 2. ИИ как напарник (не замена человека). Делает сложное простым, сохраняя человека за каждым словом40%
  3. 3. Внутренние инфлюенсеры - трансляция философии через передачу слова внутренним экспертам.0%
  4. 4. Глубокий контент -переход от рассылок в стиле мы живы, к задачам приданию, передачи смысла работы20%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Showing the 8 most recent of 8 posts we hold for @phichibook. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

27 Jul 2026, 07:21 UTCFinal Results5 voters

Выбираем тренд недели в теме внутренних коммуникаций.

  1. 1. Коммуникация через руководителей - как главный канал трансляции смыслов.40%
  2. 2. ИИ как напарник (не замена человека). Делает сложное простым, сохраняя человека за каждым словом40%
  3. 3. Внутренние инфлюенсеры - трансляция философии через передачу слова внутренним экспертам.0%
  4. 4. Глубокий контент -переход от рассылок в стиле мы живы, к задачам приданию, передачи смысла работы20%

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 8 most recent posts we hold, published 27 July 2026 to 5 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.

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.

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

“Филипп Чистяков в поисках WOW” (@phichibook), 92 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/phichibook.

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.