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 10 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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
26 measurements spanning 33 days, net -196. 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 21,888–22,183 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
9 Sept 2026, 16:14
21,922
-35
6 Sept 2026, 10:20
21,957
-36
3 Sept 2026, 23:18
21,993
-12
2 Sept 2026, 15:58
22,005
+1
1 Sept 2026, 11:46
22,004
+50
31 Aug 2026, 12:28
21,954
-26
30 Aug 2026, 13:13
21,980
-10
29 Aug 2026, 14:12
21,990
-23
28 Aug 2026, 12:38
22,013
-15
27 Aug 2026, 11:04
22,028
-17
26 Aug 2026, 08:26
22,045
-8
24 Aug 2026, 08:48
22,053
-31
22 Aug 2026, 13:12
22,084
-19
21 Aug 2026, 06:04
22,103
-3
20 Aug 2026, 05:22
22,106
-4
19 Aug 2026, 05:06
22,110
-17
18 Aug 2026, 06:52
22,127
-9
17 Aug 2026, 09:34
22,136
-13
15 Aug 2026, 14:59
22,149
+46
13 Aug 2026, 23:58
22,103
first reading
Engagement
19 posts held, back to 23 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
44.7%
avg views ÷ 21,922 subscribers
Avg views / post
9,800
11 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
11
of 19 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 31 August 2026
Posts held
19 (23 July 2026 – 31 August 2026)
Views total
107,820
Reactions total
2,004
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 13:09 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
5,315 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 54.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,892
54.4%
🔥
1,046
19.7%
💔
866
16.3%
💘
373
7.02%
❤🔥
97
1.83%
🕊
41
0.771%
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 19 of the 19 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 5,315 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 23 July 2026 to 31 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.
денежные итоги августа
📍как обычно… после каждой зарплаты распределяем деньги на основные категории трат
в этом месяце у мужа было много командировок. не часто выходили на смену курьерами. но в общем
доходом довольны
к следующему платежу готовы
— такими темпами точно закроем ипотеку за ~ 2|3 года
дважды отдыхала в Сочи
за этот год 😅 успела оторваться перед оформлением ипотеки !
— сначала с мужем
— потом с моими родителями
это были очень активные и при этом довольно бюджетные дни
два разных вида отдыха,
но все развлечения искала на ГОРБИЛЕТЕ уже целых ~ 2 года
в путешествиях беру билеты со скидками только там
особенно запомнился джип тур
💔 из Сочи в Абхазию. сказочное
озеро Рица и Гегский водопад
— морски…
да будет путешествие !
🥳 мы долго думали… что делать
с законной неделей отпуска мужа.
после оформления ипотеки лететь за границу очень накладно по 💸
поэтому нашли бюджетный выход — отправимся в автопутешествие 🚘 с целой программой
от экскурсий до жизни в палатках
в планах потратить около ~ 15 тыс.
— на аренду жилья
тратиться не придется
— билеты на развлечения всегда покупаем на ГОРБИЛЕТЕ с хорошими скидками
из …
денежные итоги за 5 часов
🫂 сейчас вместе с мужем по вечерам работаем курьерами
— оба берем слот в одном районе и успеваем развозить заказы на одной машине. времени даётся достаточно, но иногда ускоряемся и бегаем
🚀 простоев практически нет
доход выходит в 2 раза больше
в качестве подработки огонь !
жизнь от зарплаты до зарплаты
👀 или как мы с мужем избежали этой ловушки
в начале нашей совместной жизни мы выработали привычку – копить
у нас никогда не было 💸 проблем даже с небольшой зарплатой…
— получили 40 000₽ | 10 отложили
— получили 60 000₽ | 30 отложили
наглядный результат ! заработаем больше накопим быстрее
💔 но тут важно другое
просто зарабатывать больше не работает. сначала разбираемся почему текущий …
рубрика… жизнь с ипотекой
месяц #2 в этот раз внесли 50 тыс. 💸 снова на сокращение срока
из 30 лет осталось 22 года
приятно смотреть, как тают целые года 🥹💔 но так будет не всегда !
продолжаем активно гасить долг в начале, чтобы не переплачивать %
ждём следующую зарплату
это моя последняя смена
📦💔 слишком ощутимая разница
с зарплатой на прошлой неделе…
— и работой вместе с мужем
логично ! вдвоем выходит в 2 раза больше за то же время. последние пару денечков жду мужа и в бой
🚘🌚 в это время нашей ласточке сделают небольшой "апгрейд"
наша зарплата за ~ 10 дней
💸 часть с основной работы мужа
другая с моей плюс курьерские
вот так и набегает круглая сумма
сегодня выйдет распределение…
ваши ставки 💭 сколько тут денег
❤️ — больше 50 тыс.
💔 — больше 100 тыс.
💘 — больше 150 тыс.
💔469❤336💘99🔥6
Showing the 12 most recent of 19 posts we hold for @upsergeevaaa. 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
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Санечка Сергеева” (@upsergeevaaa), 21,922 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/upsergeevaaa.
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.