2 measurements taken within a single day. 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 254–256 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 00:30
255
no change
9 Aug 2026, 10:32
255
first reading
Engagement
16 posts held, back to 30 October 2025 — 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
73.3%
avg views ÷ 255 subscribers
Avg views / post
187
1 post measured
Reaction rate
8.56%
reactions ÷ views · ER floor
Posts in window
1
of 16 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
Window
Rolling 30 days · latest post in window 16 July 2026
Posts held
16 (30 October 2025 – 16 July 2026)
Views total
187
Reactions total
16
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 10:32 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 30s
Average length
15s
Measured directly from 10 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
181 reactions across 15 posts, in 13 distinct kinds. The most used accounts for 64.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
117
64.6%
👍
24
13.3%
❤
13
7.18%
❤🔥
6
3.31%
🎄
4
2.21%
⚡
3
1.66%
🆒
3
1.66%
💋
3
1.66%
🤝
3
1.66%
😭
2
1.10%
👏
1
0.552%
😍
1
0.552%
🙉
1
0.552%
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 15 of the 16 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 181reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 30 October 2025 to 16 July 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.
Благодаря маленьким, но регулярным шагам мечта становится ближе✨
В конце июня собрались небольшой группой на интенсиве по арт-дирекшену под руководством Алексея Брина и наводим красоту в своих работах 😎
Моя первая работа в рамках интенсива — анимация сосуда с атеросклеротической бляшкой.
За звуковое сопровождение спасибо @Roter_SoundDesign 🌞
Houdini спустя полгода.
По-прежнему большую часть собираю в Cinema 4D, но всё больше использую в работе Гуди. Наиболее частая задача - это Remesh больших молекул, Синема просто не справляется с таким количеством полигонов🗿
Раньше специально игнорировала единый формат записи молекулярной структуры .pdb, считая что намного проще ремешить уже готовую геометрию формата .glb. Как же я ошибалась)
Формат .pdb - это по с…
Немного о маркетинге в фарме.
Сейчас работаем над медицинским проектом. Задача вроде стандартная: показать механизм действия препарата, потому что главная проблема — непонимание со стороны врачей и провизоров, как именно он работает.
Но есть нюанс: препарат относится к группе гомеопатических средств.
Гомеопатия — это учение XVIII века, основанное на принципе «подобное лечится подобным». Предполагается, что веществ…
Сейчас работаем над проектом для фармы (и мне ещё точно есть, что вам про него рассказать). Параллельно открылось второе дыхание для самостоятельной визуализации иммунологических процессов. Нанобот, этот пост для вас 💅🏻
Представляю вам макрофаг — клетку лейкоцитарного ряда, одну из ключевых в работе иммунной системы. Он относится к врождённому иммунитету и одним из первых реагирует на появление чужеродных агентов, к…
Сходили на выставку цифрового искусства NURNOW 2026. Даже не знала, что она проходит в Волгограде.
Было интересно посмотреть работы артистов на больших экранах, многие из которых вы наверняка видели в нельзяграме. Удивлением было наблюдать работы не только в привычном софте, но и сделанные чисто в нейросети. Что на самом деле вызывает двоякие ощущения, не сформировала ещё своё мнение по этому поводу 😳
Но из такого …
Перебирала старые фотографии и поняла, что очень скучаю по зимнему морю 🌊
По ощущению мелкого бриза на лице, по солёному ветру, гулкому звуку волн, которые бьются о буны.
Скучаю по смытым пляжам, мокрым скалам и одиноким ныркам, не боящимся бушующей воды.
Зимнее море — это затянувшийся шторм, после которого всегда выходит солнце.
С помощью NanoBanana и Kling получилось очень точно передать близость бушующей стихи…
Пластмассовый мир победил 👀
Не успела я закончить обучение по Гудини, как вписалась в обучение нейронкам. Есть у меня загон, что если я официально не отучусь - я дилетант 🧐
Так что теперь я изучаю пайплайн работы с нейросетями.
Делюсь с вами шотами будущего продуктового ролика, который планирую собрать в нейронке 😍
❄️Всех с наступающим Новым Годом!❄️
Для меня этот год был годом буста и учёбы, пролетел как вихрь. Было много и хорошего, и плохого. Иногда даже казалось, что плохого больше. Но я часто склонна не замечать прогресс. В любом случае прощаемся с 2025 и врываемся в новый 2026 💪
Пусть этот 2026 принесет вам бесконечные идеи, плавные анимации и яркие визуальные решения! 💫
Пусть каждый кадр будет идеален, каждый рендер бы…
Showing the 12 most recent of 16 posts we hold for @st0ckline. 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 — 838,806 of 1,340,412entries 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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Склад строчек” (@st0ckline), 255 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/st0ckline.
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.