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.

Channel
Филипп Чистяков в поисках WOW
@phichibook
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
91subscribers
+1 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 |
|---|---|
| Type | Channel |
| Username | @phichibook |
| Description | Исследую все грани WOW-проектов по Тому Питерсу: лидерство, дизайн, таланты, тренды. Работаю с форсайтом, делюсь интересным из книг, фильмов, лекций и семинаров. |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/phichibook |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 14:16 | 91 | no change |
| 8 Aug 2026, 13:47 | 91 | +1 |
| 8 Aug 2026, 00:06 | 90 | first reading |
Engagement
8 posts held, back to 27 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 36.4%
- avg views ÷ 91 subscribers
- Avg views / post
- 33.1
- 8 posts measured
- Reaction rate
- 8.82%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 8 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 1 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 8 (27 July 2026 – 5 August 2026) |
| Views total | 265 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 14:16 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
- Photos
- 330
- Videos
- 13
- Links
- 13
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 33.3% | |
| 👍 | 1 | 33.3% | |
| 🔥 | 1 | 33.3% |
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 3reactions 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
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…
Photo, posted without a caption
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…
А тут мы приглашаем всех на день выпускника СПБГУ 12 сентября. У нашего подкаста будет отдельная секция с историями😎
❤1👍1🔥1
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…
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…
Выбираем тренд недели в теме внутренних коммуникаций.
- 1. Коммуникация через руководителей - как главный канал трансляции смыслов.40%
- 2. ИИ как напарник (не замена человека). Делает сложное простым, сохраняя человека за каждым словом40%
- 3. Внутренние инфлюенсеры - трансляция философии через передачу слова внутренним экспертам.0%
- 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.
Выбираем тренд недели в теме внутренних коммуникаций.
- 1. Коммуникация через руководителей - как главный канал трансляции смыслов.40%
- 2. ИИ как напарник (не замена человека). Делает сложное простым, сохраняя человека за каждым словом40%
- 3. Внутренние инфлюенсеры - трансляция философии через передачу слова внутренним экспертам.0%
- 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.
Citation-graph rank
Citation-graph rank — 590,321 of 1,336,469entries 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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Филипп Чистяков в поисках WOW” (@phichibook), 91 subscribers as measured 9 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.