5 measurements spanning 11 days, net -23. 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 4,122–4,151 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 19:25
4,125
-8
13 Aug 2026, 02:54
4,133
-3
10 Aug 2026, 02:01
4,136
-10
6 Aug 2026, 20:02
4,146
-2
6 Aug 2026, 04:33
4,148
first reading
Engagement
12 posts held, back to 19 June 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 5 pagesof 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 12 posts for this entry, the most recent from 21 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
248 reactions across 11 posts, in 12 distinct kinds. The most used accounts for 41.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
104
41.9%
❤
35
14.1%
🔥
34
13.7%
😁
23
9.27%
🫡
13
5.24%
🤡
12
4.84%
✍
11
4.44%
👎
6
2.42%
🗿
5
2.02%
🙏
3
1.21%
💯
1
0.403%
🤩
1
0.403%
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 11 of the 12 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 248reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 19 June 2026 to 21 June 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
1
across the posts below
Posts paid on
1
of 12 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zzz_NonameResearch. 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 12 most recent posts we hold for this entry, published 19 June 2026 to 21 June 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.
Текущий взгляд
Я рассматриваю Ростелеком не как фундаментальный лонг, а как структурный спекулятивный опцион на IPO-конвейер дочерних компаний при материнской компании, торгующейся по ~3х EV/EBITDA. Фундаментально я вижу устойчиво слабую картину: хронически отрицательный FCF, неисполнение собственных целей по делевериджу два года подряд, регуляторная «ловушка» ФАС, CAPEX, который компания, на мой взгляд, не может ко…
#RTKM #инвесткейсы
Ростелеком (RTKM)
Краткое описание компании
Ростелеком (MOEX: RTKM/RTKMP) — крупнейший в России интегрированный провайдер цифровых решений и государственный телеком-холдинг. Под зонтиком группы — классический телеком (фиксированная связь, ШПД, мобильная связь через Tele2), цифровые сервисы для государственного сектора и три перспективных дочерних бизнеса: РТК-ЦОД (коммерческие ЦОДы), РТК-Солар (…
Яндекс завершил размещение двух выпусков рублёвых облигаций на Московской бирже
Совокупный объём размещения обоих выпусков составил 60 млрд рублей: из них 40 млрд пришлось на выпуск с плавающим купоном серии 001Р‑04, 20 млрд – на выпуск с фиксированным купоном серии 001Р‑05.
Основные параметры выпусков:
🟡Выпуск 001Р‑04: срок – 3 года, купон – переменный, со спредом 1,25% к ключевой ставке ЦБ, ISIN – RU000A10FEA9
🟡…
В контекст этой темы UBS выпустило очень крутой и детализированный репорт про то, какие факторы позволяют Китайцам выпускать такие дешевые модели. Основные 2 момента которы хочу отметить:
- Из-за дефицита электроэнергии в США стоимость 1 КВт*ч энергии там около 8 центов, тогда как в Китае около 4 центов. Это уже сразу приводит к тому, что токен в 2 раза дешевле
- Китайцы воруют (метод дистиляции) интеллект фронтирны…
#global #AI
Там сейчас в Китае у компании Zhipu AI вышла модель GLM 5.2 и начинают разгонять нарратив что вот это дипсик момент 2.0
Якобы по бенчмаркам модель сопоставима с Anthropic Opus 4.8 и Open AI Chat GPT 5.5, при этом стоимость токена у нее в 5 раз ниже в API да и стоимость подписки тоже сильно ниже.
Но как всегда ель важные нюансы, которые не отображаются в бенчмарках. Также как реальное качество российски…
👍6✍4❤1
Showing the 12 most recent of 12 posts we hold for @zzz_NonameResearch. 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.
Citation-graph rank
Citation-graph rank — 180,335 of 1,481,306entries 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Noname Research” (@zzz_NonameResearch), 4,125 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/zzz_NonameResearch.
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.
