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Channel

Синяя таблетка

@bluepillar

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

2,720subscribers

-6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001560389411
TypeChannel
Username@bluepillar
Created8 June 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live22 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/bluepillar

Growth

2,7192,7262,722.56 August 2026 — 2,726 subscribers6 August 2026 — 2,726 subscribers7 August 2026 — 2,724 subscribers9 August 2026 — 2,723 subscribers12 August 2026 — 2,719 subscribers16 August 2026 — 2,725 subscribers19 August 2026 — 2,724 subscribers22 August 2026 — 2,720 subscribers2,7206 August 202622 August 2026
8 measurements spanning 16 days, net -6. 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 2,718–2,727 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 11:172,720-4
19 Aug 2026, 00:462,724-1
16 Aug 2026, 09:052,725+6
12 Aug 2026, 19:362,719-4
9 Aug 2026, 23:342,723-1
7 Aug 2026, 01:542,724-2
6 Aug 2026, 11:062,726no change
6 Aug 2026, 09:592,726first reading

Engagement

6 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.02%
avg views ÷ 2,720 subscribers
Avg views / post
137
6 posts measured
Reaction rate
6.59%
reactions ÷ views · ER floor
Posts in window
6
of 6 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 7 August 2026
Posts held6 (27 July 20267 August 2026)
Views total820
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:12 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
57s
Average length
29s

Measured directly from 2 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

54 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 37.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2037.0%
1833.3%
👍611.1%
😍59.26%
🤪35.56%
👀23.70%

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 6 of the 6 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 54reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 27 July 2026 to 7 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

7 Aug 2026, 12:56 UTC35 views6 reactionsread 7 August 2026
Photo

Портреты из ГРУШ и БАКЛАЖАНОВ 🍐 Художница Алина Андрейчишена собирает человеческие лица из тончайших высушенных слайсов фруктов и овощей. Для женских портретов она использует только груши сорта «Конференция», а мужские образы создает из баклажанов. Сначала каждый кусочек вручную раскладывается по эскизу, а затем композицию заливают эпоксидной смолой, шлифуют и дорабатывают вручную. В итоге обычные продукты превраща

4👍1🔥1

5 Aug 2026, 14:07 UTC103 views6 reactionsread 7 August 2026
Photo

Торт, достойный самого короля Артура 🎂 Петербургская кондитерская Kaisa Cake превратила легенду о мече в камне в один из самых популярных дизайнов тортов. Вместо привычного декора — меч, воткнутый прямо в крем, будто его только что оставили ждать своего героя. Авторы говорят, что именно такой дизайн сейчас заказывают чаще всего. Выглядит эффектно, а разрезать десерт становится почти отдельным ритуалом. Главный воп

3👍2🔥1

3 Aug 2026, 14:51 UTC141 views7 reactionsread 7 August 2026
Photo

Самые необычные сумки, которые мы видели 👜 Художница Аревик Акопян представила нейроконцепт прозрачных сумок, внутри которых разрастаются мицелий, плесень и другие органические образования. Получились аксессуары, больше похожие на миниатюрные экосистемы, чем на предметы гардероба. Физически таких моделей не существует — это творческий эксперимент, созданный без участия бренда. Но многие пользователи легко приняли е

3🔥2🤪2

1 Aug 2026, 14:02 UTC162 views10 reactionsread 7 August 2026
Photo

Sela Home превратил котиков и собак в уютные пуфы 🐶 Бренд выпустил коллекцию мягких пуфов в виде домашних питомцев. Дизайнеры добавили им ушки, хвосты и узнаваемые окрасы, поэтому мебель больше напоминает настоящих котиков и пёсиков, чем обычные предметы интерьера. В коллекции есть разные модели — с забавными мордочками и мягкими формами, на которых одинаково приятно сидеть и просто любоваться ими. Кажется, такой

🔥53👍2

29 Jul 2026, 10:11 UTC206 views17 reactionsread 7 August 2026
Photo

Самая сладкая люстра, которую мы когда-либо видели 🍭 Дизайнер Рустам Усманов представил необычный концепт светильника, вдохновившись леденцами-петушками и тем, как цветное стекло преломляет свет. Получился абажур, который с первого взгляда хочется не включить, а попробовать на вкус. Вместе с художницей Alexamari_art автор планирует воплотить идею в эпоксидной смоле. Каждый «петушок» станет отдельным модулем, из кот

🔥10😍52

27 Jul 2026, 14:11 UTC173 views8 reactionsread 7 August 2026
Photo

Пластиковые бутылки неожиданно стали частью дизайнерской мебели🪑 Французский дизайнер Микаэлла Педрос придумала необычный способ дать пластиковым бутылкам вторую жизнь. Вместо того чтобы перерабатывать материал привычным способом, она использует его как соединительный элемент при сборке мебели. Принцип простой, но очень эффектный: пластиковую бутылку надевают на деревянные детали и нагревают. Под воздействием темпе

3👀2👍1🔥1🤪1

Showing the 6 most recent of 6 posts we hold for @bluepillar. 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.

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

“Синяя таблетка” (@bluepillar), 2,720 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/bluepillar.

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.