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Channel

Ко-Лаб

@colabptfm

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

22,574subscribers

+10,031 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-1002008224248
TypeChannel
Username@colabptfm
Created10 May 2024 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live2 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/colabptfm

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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.

Growth

10,88834,06922,478.57 August 2026 — 12,543 subscribers8 August 2026 — 12,495 subscribers8 August 2026 — 12,446 subscribers10 August 2026 — 12,401 subscribers11 August 2026 — 12,242 subscribers12 August 2026 — 12,088 subscribers12 August 2026 — 11,991 subscribers14 August 2026 — 11,951 subscribers15 August 2026 — 11,831 subscribers17 August 2026 — 11,446 subscribers18 August 2026 — 11,326 subscribers19 August 2026 — 11,294 subscribers20 August 2026 — 11,287 subscribers21 August 2026 — 11,275 subscribers22 August 2026 — 11,259 subscribers24 August 2026 — 11,227 subscribers25 August 2026 — 11,206 subscribers26 August 2026 — 11,184 subscribers27 August 2026 — 11,175 subscribers28 August 2026 — 11,164 subscribers29 August 2026 — 11,136 subscribers30 August 2026 — 11,130 subscribers31 August 2026 — 11,111 subscribers1 September 2026 — 11,094 subscribers2 September 2026 — 11,082 subscribers3 September 2026 — 11,048 subscribers5 September 2026 — 11,026 subscribers8 September 2026 — 10,990 subscribers11 September 2026 — 10,952 subscribers13 September 2026 — 10,944 subscribers14 September 2026 — 10,888 subscribers16 September 2026 — 11,170 subscribers19 September 2026 — 13,005 subscribers25 September 2026 — 16,685 subscribers4 October 2026 — 34,069 subscribers8 October 2026 — 32,648 subscribers13 October 2026 — 31,737 subscribers14 October 2026 — 26,852 subscribers15 October 2026 — 26,052 subscribers16 October 2026 — 25,623 subscribers17 October 2026 — 25,397 subscribers18 October 2026 — 25,359 subscribers19 October 2026 — 25,138 subscribers20 October 2026 — 25,093 subscribers21 October 2026 — 25,000 subscribers22 October 2026 — 24,719 subscribers23 October 2026 — 24,675 subscribers24 October 2026 — 24,619 subscribers25 October 2026 — 23,586 subscribers26 October 2026 — 23,423 subscribers27 October 2026 — 23,310 subscribers28 October 2026 — 23,218 subscribers29 October 2026 — 23,185 subscribers30 October 2026 — 22,843 subscribers31 October 2026 — 22,732 subscribers1 November 2026 — 22,629 subscribers2 November 2026 — 22,574 subscribers22,5747 August 20262 November 2026
57 measurements spanning 87 days, net +10,031. 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 7,411–37,546 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
2 Nov 2026, 08:4522,574-55
1 Nov 2026, 09:4922,629-103
31 Oct 2026, 12:4022,732-111
30 Oct 2026, 14:1622,843-342
29 Oct 2026, 15:1623,185-33
28 Oct 2026, 16:0923,218-92
27 Oct 2026, 17:0623,310-113
26 Oct 2026, 14:1423,423-163
25 Oct 2026, 13:2523,586-1,033
24 Oct 2026, 14:0924,619-56
23 Oct 2026, 13:2824,675-44
22 Oct 2026, 12:3424,719-281
21 Oct 2026, 05:4025,000-93
20 Oct 2026, 06:0825,093-45
19 Oct 2026, 07:3625,138-221
18 Oct 2026, 11:0925,359-38
17 Oct 2026, 11:4625,397-226
16 Oct 2026, 14:2625,623-429
15 Oct 2026, 15:4126,052-800
14 Oct 2026, 14:4026,852first reading

Engagement

58 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 81 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.33%
avg views ÷ 22,574 subscribers
Avg views / post
752
21 posts measured
Reaction rate
2.39%
reactions ÷ views · ER floor
Posts in window
21
of 58 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 27 October 2026
Posts held58 (27 July 2026 – 27 October 2026)
Views total15,784
Reactions total377
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Oct 2026, 09:57 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
1m 46s
Average length
27s

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

1,350 reactions across 58 posts, in 20 distinct kinds. The most used accounts for 63.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤85063.0%
🔥1249.19%
🥰775.70%
👍685.04%
💔574.22%
👀292.15%
🤔251.85%
🤣201.48%
💯191.41%
👏151.11%
🤯141.04%
😢120.889%
🙏120.889%
😨90.667%
❤‍🔥60.444%
👌60.444%
🌚20.148%
😱20.148%
🥴20.148%
🥱10.074%

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 58 of the 58 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 1,350 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 58 most recent posts we hold, published 27 July 2026 to 27 October 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
4
across the posts below
Posts paid on
4
of 58 we hold a reading for · 7%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @colabptfm. 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 58 most recent posts we hold for this entry, published 27 July 2026 to 27 October 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

27 Oct 2026, 17:57 UTC310 views13 reactionsread 28 October 2026
Photo

Красивая, умная, с успешным бизнесом и в классных отношениях: про таких девушек говорят «наша Дуа Липа». Поговорили с Катей Голден о том, чему не стоит верить в соцсетях, что остается за кадром и зачем она показывает личные отношения.

❤13

26 Oct 2026, 06:11 UTC452 views14 reactionsread 28 October 2026
Photo

Депрессия может быть связана с нарушением биологических часов Австралийские исследователи описали новый подтип депрессии – циркадную депрессию, которая связана с нарушением внутренних ритмов организма. Результаты исследования опубликованы в British Journal of Psychiatry. Ученые проанализировали клинические и генетические данные 11 380 человек с преимущественно тяжелой, рецидивирующей или устойчивой к лечению депрес…

❤9🥰5

22 Oct 2026, 17:00 UTC630 views25 reactionsread 28 October 2026
Photo

Сложные медицинские и научные темы почти всегда пугают: кажется, что в них легко ошибиться или напугать читателя. Но страх перед сложностью можно и нужно обойти. Разбираемся вместе с Ольгой Собченко, основателем Центра корпоративных коммуникаций «С-ГРУП» и главным редактором медиа «Фарммедпром», как объяснять медицину понятно, не теряя научной точности.

❤17❤‍🔥6💯1🔥1

22 Oct 2026, 09:58 UTC426 views12 reactionsread 28 October 2026
Photo

Солнце, соль и перемена климата нагружают кожу: она теряет влагу, раздражается, на ней появляются пятна. Причем последствия проявляются не сразу. Поэтому после отпуска в салон лучше идти не за любой процедурой, а за подходящей по срокам. Врач-косметолог Xella Анастасия Кучер рассказала, чем заняться в первую неделю — когда браться за пигментацию и от чего стоит отказаться, пока кожа не восстановилась. Полный материал…

❤10🥰2

20 Oct 2026, 10:11 UTC365 views28 reactionsread 25 October 2026
Video

На конференции «Ко-Лаб» мы дарили ценнные подарки обладателям вип-билетов, спикерам и друзьям. Внутри — продукты от брендов, которым мы доверяем: за качественный уход отвечали Elemis, Calecim, Aravia, Librederm, WAU, okolo и OSS to OSS, за декоративный — Erborian, Thim beauty, баланс вкуса и пользы воплотился в граноле Маруся, здоровье изнутри — в wellness-патчах для тела BODDY, а с ароматами Dr.Vranjes жизнь в целом…

❤17👏11

19 Oct 2026, 15:55 UTC452 views22 reactionsread 25 October 2026
Photo

✨ Бодипозитив умер, не успев родиться? Если буквально вчера нам казалось, что индустрия моды наконец готова пересмотреть представления об идеальном теле, то сегодня мы наблюдаем возвращение к прежним идеалам худобы. И откат такой, что спонсором шоу Vogue World, которое открыло Неделю моды в Милане в сентябре, оказалась фармацевтическая компания Eli Lilly. Угадаем с одной попытки, какие препараты она выпускает. Да, э…

❤14👍4🥰2👀1👏1

18 Oct 2026, 16:37 UTC429 views17 reactions1 Starread 22 October 2026
Photo

✨ На выставке InterCHARM 2026 прошла открытая дискуссия «Возраст как система: гормоны, метаболизм, кожа и энергия». Спикерами выступили сооснователь Ко-Лаб Ксения Зайцева, руководитель Института регенеративной и трансляционной медицины НМИЦ ТПМ Минздрава России Ильмира Гильмутдинова, когнитивный нейроучёный и исследователь НИУ ВШЭ Юлия Городничева и сооснователь Perelman People и «Исток Буфет» Евгения Левшицкая. ⏹️…

❤17

16 Oct 2026, 10:38 UTC477 views14 reactionsread 22 October 2026
Photo

Усталость и стресс редко заявляют о себе одним «плохим» показателем — чаще это накопление небольших отклонений, которые человек не замечает, пока организм не потребует паузу принудительно. Разбираемся вместе с экспертом, какие индивидуальные показатели важно учитывать при работе со сном, физической активностью и восстановлением и как данные умного кольца помогают принимать решения о здоровье с учетом особенностей кон…

❤12🥰2

14 Oct 2026, 07:47 UTC576 views24 reactionsread 22 October 2026
Photo

✨ 17 октября сооснователь Ко-Лаб Ксения Зайцева выступит на открытой дискуссии «Возраст как система: гормоны, метаболизм, кожа и энергия» на выставке InterCHARM 2026. ⏹️Вместе с экспертами обсудим, как гормональные изменения влияют на самочувствие и внешность, почему с возрастом меняется состав тела, какую роль играют сон и восстановление и где проходят границы возможностей косметологии. Спикеры: • Ильмира Гильмутд…

❤14🥰6🔥4

13 Oct 2026, 17:04 UTC570 views15 reactionsread 22 October 2026
Photo

✔️Женщины испытывают боль чаще мужчин, показало глобальное исследование Ученые объединили данные более 6,1 млн человек из 118 стран, собранные в 1990–2025 годах. Они сравнили, как часто люди разного пола сообщали о боли в 11 областях тела: голове, лице, шее и плечах, руках, ногах, груди, спине, животе, бёдрах и коленях. В исследование вошли люди от пяти лет до старше 100 лет. Женщины чаще мужчин сообщали о боли во …

❤11🥰4

12 Oct 2026, 16:22 UTC555 views17 reactionsread 20 October 2026
Photo

⏹️Может ли общение с ИИ усиливать психоз? Исследователи из Университета Вандербильта (США) изучили медицинские записи более 215 тысяч пациентов и обнаружили 28 случаев, когда общение с ИИ сопровождалось усилением психотических симптомов. В 15 случаях упоминался ChatGPT, причем большинство описанных взаимодействий были зафиксированы после выхода GPT-4o в мае 2024 года. У 61% пациентов это был первый приступ психоза в…

❤17

10 Oct 2026, 16:05 UTC602 views20 reactionsread 19 October 2026
Photo

Кожный барьер помогает удерживать влагу и защищает кожу от внешних воздействий. Когда его функция нарушается, кожа быстрее теряет воду и может становиться сухой, чувствительной и реактивной. Разбираемся вместе с экспертом Dr. Jart, почему так происходит, что помогает поддерживать и восстанавливать защитные функции кожи и какую роль в этом играют керамиды.

❤16🥰4

Showing the 12 most recent of 58 posts we hold for @colabptfm. 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.

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.

11 Aug 2026, 18:08 UTCAnonymous Poll185 voters

Раздельные спальни с партнером?

  1. Да!54%
  2. Ну нет…46%

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 58 most recent posts we hold, published 27 July 2026 to 27 October 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

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 13 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.

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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“Ко-Лаб” (@colabptfm), 22,574 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/colabptfm.

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.