Personal blog — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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 why it has no browse page of its own yet.
Growth
4 measurements spanning 16 days, net +48. 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 820–882 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 11:36
875
+27
5 Sept 2026, 05:18
848
+11
28 Aug 2026, 22:57
837
+10
28 Aug 2026, 06:30
827
first reading
Engagement
10 posts held, back to 20 August 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.74%
avg views ÷ 875 subscribers
Avg views / post
67.8
4 posts measured
Reaction rate
14.4%
reactions ÷ views · ER floor
Posts in window
4
of 10 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 27 August 2026
Posts held
10 (20 August 2026 – 27 August 2026)
Views total
271
Reactions total
39
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 06:30 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.
Reaction mix
72 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 33.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5237819940114823889
24
33.3%
custom 5237758912924512235
18
25.0%
custom 5244790221064665683
18
25.0%
custom 5242561541059938406
12
16.7%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 8 of the 10 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 72 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 20 August 2026 to 27 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.
🎙️3 кружочка о том, что я задумала сделать с клубом этой осенью
Вернулась из отпуска и поняла, что накопилось много всего, чем хочется с вами поделиться.
Так что записала небольшой подкаст о том, что сейчас происходит с клубом и куда я вообще хочу двигать его дальше:
🔴 хочу, чтобы здесь стало больше меня и клуб перестал быть таким безликим
🔴 хочу делать встречи чаще и постепенно расширять нашу команду
🔴 уже придум…
✨ Одна из самых вдохновляющих песен — про то, как сиять несмотря ни на что
Разобрали несколько конструкций и идиом: сравнения через “like”, фразы про выбор и уверенность, идиому “at first sight”
А какая фраза или песня заряжает вас энергией? Поделитесь в комментариях⤵️
Попробуйте вспомнить: с кем вы сравнивали себя за последнюю неделю? С коллегой, который «успевает больше»? С собой год назад? Или с кем-то, кого вы вообще никогда не встречали, но кто в вашей голове делает всё правильно?
На ближайшей встрече обсудим, как сравнение влияет на нашу уверенность в себе, выбор и амбиции, и может ли оно когда-нибудь быть полезным
📌 30.08 | The Comparison Trap
📍 м. Павелецкая
13:00–15:00 —…
Guys, клуб вернулся из небольшого отпуска, и мы рады анонсировать вам афишу предстоящих встреч ❗️
Мы знаем, что вы писали нам и ждали, поэтому самое время забронировать местечко
Это можно сделать здесь 🫂💓
@talker_talks1✅
UPCOMING EVENTS | Talker Talks
Сохраняй афишу и выбирай своё ⤵️
📌 30.08 (воскресенье)
The Comparison Trap 💡
Why is it so hard to stop comparing ourselves to others? We’ll discuss how comparison affects our confidence, choices and ambitions, and whether it can ever actually be useful.
📍 м. Павелецкая
13:00–15:00 — A2+
15:30–17:30 — B1+
📌 06.09 (воскресенье)
Are Your Standards Too High? 📚
How high is too high? We’ll …
Showing the 10 most recent of 10 posts we hold for @talker_talks. 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.
Mentions
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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 13 September 2026 — this
entry's latest reading, not the date you are reading this.
“TALKER TALKS” (@talker_talks), 875 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/talker_talks.
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.
