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 72% 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
32 measurements spanning 42 days, net -130. 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 20,595–20,766 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 09:37
20,615
-4
15 Sept 2026, 10:39
20,619
+3
13 Sept 2026, 17:59
20,616
-3
11 Sept 2026, 22:02
20,619
-1
9 Sept 2026, 09:17
20,620
-4
6 Sept 2026, 01:17
20,624
-6
3 Sept 2026, 20:37
20,630
-5
2 Sept 2026, 10:33
20,635
-12
1 Sept 2026, 09:13
20,647
-9
31 Aug 2026, 11:06
20,656
-14
30 Aug 2026, 08:08
20,670
+1
29 Aug 2026, 08:27
20,669
-1
28 Aug 2026, 06:49
20,670
-11
27 Aug 2026, 04:44
20,681
-2
26 Aug 2026, 02:58
20,683
-10
25 Aug 2026, 05:28
20,693
-13
24 Aug 2026, 05:48
20,706
-5
22 Aug 2026, 12:54
20,711
+5
21 Aug 2026, 05:53
20,706
-2
20 Aug 2026, 09:17
20,708
first reading
Engagement
31 posts held, back to 25 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.4%
avg views ÷ 20,615 subscribers
Avg views / post
3,370
7 posts measured
Reaction rate
2.70%
reactions ÷ views · ER floor
Posts in window
7
of 31 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 3 September 2026
Posts held
31 (25 July 2026 – 3 September 2026)
Views total
23,620
Reactions total
637
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 18:24 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
3,945 reactions across 31 posts, in 4 distinct kinds. The most used accounts for 39.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,569
39.8%
custom 5213257722228657247
1,055
26.7%
💔
753
19.1%
❤🔥
568
14.4%
Custom emoji. One 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 count beside it is 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 31 of the 31 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 3,945 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 25 July 2026 to 3 September 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
6
across the posts below
Posts paid on
5
of 31 we hold a reading for · 16%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sasha_pishet_pro_berlin. 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 31 most recent posts we hold for this entry, published 25 July 2026 to 3 September 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.
🇩🇪 Лучшие посты лета
(сразу за три месяца, потому что в июне я произвела на свет нового человека и немного выпала отовсюду)
О личном
⚫️Запускаю новый канал — Саша унд дочь
⚫️ Бизнес и материнство: совмещать-нельзя-выбирать
⚫️Про гражданство и слезы
Бытовая эмиграция
⚫Scalable Capital закрывают счета клиентам с российским гражданством
⚫️Получение гражданства хотят усложнить?
⚫️Плохие новости для фрилансеров в Герма…
Новость 1: вчера я впервые выбралась с бубале в кофейню, выпила кофе и не умерла от стресса (как в прошлый раз).
Новости 2: вчера мы закрыли вторую группу нашего нового (с иголочки!) интенсива В1 — места разобрали за пару дней.
Но поскольку заявки приходят и дальше, мы открыли дополнительную группу — со стартом 3 ноября. А еще с early bird скидкой курс из 40 занятий по 90 минут стоит всего 555 евро.
«Сапоги хороши…
Продолжаю обсуждать предвыборные плакаты — на очереди традиционные громкие лозунги про аренду от Die Linke.
Wo Reichtum in Beton gegossen wird, ist für Menschen mit wenig Geld kein Platz mehr.
Я не буду говорить, что в программе на ближайшие выборы у левых вообще нет разумных пунктов. Они есть.
Но просто глобально ни ограничение аренды, ни изъятие крупных жилищных портфелей у частных компаний не создаст ни одной н…
Идеальная диета для молодых мам — по мнению немецких больниц
Еду в немецких больницах не обсудил только ленивый — но я не ленивая, поэтому обсужу.
До родов у меня не было опыта госпитализации в Германии — и про еду я много слышала, но сильно не переживала, потому что я ФАНАТ столовской еды. Я обожаю котлеты из хлеба, странные супы, переваренные макароны (иногда). Поэтому я даже немножко предвкушала, что лично мне б…
Один из главных вопросов для меня сейчас — как совмещать материнство и собственный бизнес (и вообще возможно ли это).
Часть меня рвется в погрузиться в материнство с головой и нон-стоп любоваться этими пухлыми щечками.
Но другая часть меня помнит, что Германия не любит женщин с бизнесом, что все социальные выплаты идут мимо, и что хлеб сам себя не заработает.
Поэтому я продолжаю работать: ночами, урывками между дн…
🎂 С днем рождения, Гёте!
Сегодня день рождения у нашего-всего-немецкой-литературы. Собрала три любимых фан-факта о нем.
📌Гёте был не только великим поэтом, но и одним из первых маркетологов. Правильно рассудив, что «сам себя не похвалишь, никто не похвалит», он решил забронзоветь ещё при жизни. И сам правил все свои биографии — чтобы факт бронзовения и впредь не ставился под вопрос.
📌На его самом знаменитом портре…
🔵 AfD продолжает показывать рекордные рейтинги
По данным свежего Sonntagsfrage Allensbach, AfD набрали рекордные 27,5%.
CDU тоже побили рекорд — их 22,5% стали самым низким показателем партии за последние пять лет.
Дальше рейтинг выглядит так:
⚫️SPD: 13%
⚫️Grüne: 13%
⚫️Linke: 11%
⚫️FDP: 6%
Я уже писала, что опросы не равняются реальной картине. Но они показывают настроения «здесь и сейчас» и влияют на поведение …
#werbung
На прошлой неделе мы были на дне рождении, где центральной темой обсуждения было что? Правильно, здоровье и врачи (потому что нам всем исполняется не 18, как вы понимаете).
Обсуждали лечение зубов в Нидерландах (были голоса недовольства), Австрии (тут я внесла свою скромную лепту легендарной историей про голубиный помет) и естественно Германии.
И на Германию многие жалуются — хотя я уже много лет амбасса…
Открываю сезон арт-завтраков новой лекцией!
Любите ли вы арт-завтраки так, как люблю их я? Я вот люблю их настолько, что последние недели жертвовала остатками сна, чтобы подготовить новую лекцию. Лекцию про немецкое искусство (разумеется), но еще и про мой новый центр интересов — про детей.
Так родилась абсолютно новая программа завтрака: «Как говорить с ребёнком об искусстве: идеи для самостоятельного похода в Gem…
Цукерберг: выпускает манифест о будущем искусственного интеллекта.
Немецкие ведомства: ФАКС ФАКС ФАКС БУДЕМ ИСПОЛЬЗОВАТЬ ФАКС
(для подачи на Elterngeld я воспользовалась «удобной опцией подачи онлайн», как сказано на сайте ведомства, чтобы в конце электронная подпись не сработала и мне пришлось печатать кучу макулатуры, подписывать её и отправлять заказным письмом).
💔97custom 521325772222865724732❤8
Showing the 12 most recent of 31 posts we hold for @sasha_pishet_pro_berlin. 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.
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
Named by 6 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Что там у немцев? @dwrussian · 50,743 Telegram ranks this channel #4 of 97 here — alongside 96 others — read 25 August 2026
Немецкий язык @deutschonline · 122,699 Telegram ranks this channel #13 of 94 here — alongside 93 others — read 14 August 2026
Work-in-Germany 🇩🇪 Работа. Германия @germanworks · 23,161 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 19 September 2026
Германия | Украина | Беженцы @ASA_de · 35,035 Telegram ranks this channel #21 of 84 here — alongside 83 others — read 2 September 2026
JETMINDS | Образование за границей @jetmindscompany · 26,043 Telegram ranks this channel #31 of 85 here — alongside 84 others — read 13 September 2026
Немецкий язык в словах @stylishgerman · 50,011 Telegram ranks this channel #43 of 95 here — alongside 94 others — read 25 August 2026
Работа в Германии @jobde · 49,780 Telegram ranks this channel #59 of 91 here — alongside 90 others — read 25 August 2026
Oh, world! @ohwrld · 26,326 Telegram ranks this channel #63 of 88 here — alongside 87 others — read 12 September 2026
Ukrainian in Germany | Новини Німеччина @UKRAINIANinGERMANYportal · 23,246 Telegram ranks this channel #65 of 79 here — alongside 78 others — read 18 September 2026
А как там в Париже?🇫🇷 @marie_paris · 63,307 Telegram ranks this channel #65 of 94 here — alongside 93 others — read 21 August 2026
🇦🇹 Образование в Австрии | edu-vienna.com @eduvienna · 40,353 Telegram ranks this channel #67 of 83 here — alongside 82 others — read 30 August 2026
еврейка у микрофона @urfavjewishgirl · 43,857 Telegram ranks this channel #67 of 94 here — alongside 93 others — read 28 August 2026
Немецкий Язык | Германия | HHDEUTSCH @hhdeutsch · 27,615 Telegram ranks this channel #70 of 92 here — alongside 91 others — read 10 September 2026
Немецкий для начинающих @fangedeutschan · 47,469 Telegram ranks this channel #70 of 96 here — alongside 95 others — read 26 August 2026
Немецкий для продвинутых (B1 и B2) @deutsche_gedichte · 23,010 Telegram ranks this channel #75 of 90 here — alongside 89 others — read 19 September 2026
Елена Берковская @berkovskaya_elena · 77,926 Telegram ranks this channel #75 of 91 here — alongside 90 others — read 19 August 2026
Brain Drain @brain_drain_ru · 45,584 Telegram ranks this channel #80 of 93 here — alongside 92 others — read 27 August 2026
Bücher für Prüfungsvorbereitung @BucherzurVorbereitungPrufung · 42,274 Telegram ranks this channel #82 of 83 here — alongside 82 others — read 29 August 2026
Немецкий язык в тестах @learngerm · 31,263 Telegram ranks this channel #85 of 93 here — alongside 92 others — read 6 September 2026
DW Главное @dwglavnoe · 83,157 Telegram ranks this channel #88 of 95 here — alongside 94 others — read 18 August 2026
BILD на русском @BILD_Russian · 68,071 Telegram ranks this channel #92 of 93 here — alongside 92 others — read 20 August 2026
AgileFluent: карьера без границ @agilefluent · 45,636 Telegram ranks this channel #95 of 95 here — alongside 94 others — read 28 August 2026
This channel appears in 22 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Саша пишет про Берлин” (@sasha_pishet_pro_berlin), 20,615 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/sasha_pishet_pro_berlin.
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.