Строю женское приложение безопасных путешествий Brave&Safe – https://braveandsafe.app
Я Таша, 10 лет исследую женское благополучие и делюсь самыми полезными находками про здоровье, деньги и безопасность
📧 [email protected]
РКН https://sl1nk.com/
Created
24 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 79% 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 the other topics.
Growth
66 measurements spanning 100 days, net -416. 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 24,274–24,814 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
13 Nov 2026, 22:19
24,336
-25
11 Nov 2026, 06:47
24,361
-16
9 Nov 2026, 16:01
24,377
-13
8 Nov 2026, 05:22
24,390
-6
6 Nov 2026, 21:21
24,396
-5
5 Nov 2026, 21:56
24,401
-12
5 Nov 2026, 00:09
24,413
-18
3 Nov 2026, 23:48
24,431
-12
2 Nov 2026, 20:38
24,443
-24
1 Nov 2026, 19:30
24,467
-4
31 Oct 2026, 19:47
24,471
-6
30 Oct 2026, 19:20
24,477
-4
29 Oct 2026, 16:07
24,481
-10
28 Oct 2026, 17:47
24,491
-12
27 Oct 2026, 17:07
24,503
-14
26 Oct 2026, 17:46
24,517
-9
25 Oct 2026, 20:21
24,526
-6
24 Oct 2026, 20:37
24,532
+22
23 Oct 2026, 19:29
24,510
-2
22 Oct 2026, 16:28
24,512
first reading
Engagement
34 posts held, back to 27 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 138 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
36.6%
avg views ÷ 24,336 subscribers
Avg views / post
8,900
10 posts measured
Reaction rate
6.46%
reactions ÷ views · ER floor
Posts in window
10
of 34 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 12 November 2026
Posts held
34 (27 July 2026 – 12 November 2026)
Views total
89,030
Reactions total
5,750
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 04:34 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
Photos
360
Videos
18
Links
90
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
3m 12s
Average length
24s
Measured directly from 8 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
19,310 reactions across 34 posts, in 7 distinct kinds. The most used accounts for 66.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12,742
66.0%
🔥
3,645
18.9%
🥰
1,208
6.26%
👏
604
3.13%
🕊
567
2.94%
🤬
313
1.62%
🤔
231
1.20%
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 34 of the 34 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 19,310 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 27 July 2026 to 12 November 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
19
across the posts below
Posts paid on
9
of 34 we hold a reading for · 26%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tashatale. 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 34 most recent posts we hold for this entry, published 27 July 2026 to 12 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 10 posts held from the last 30 days (10.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Я хочу стать богатой, чтобы ДЕЛАТЬ ЭТО 🤨
Последнюю неделю презентую наше женское приложение безопасных путешествий Brave&Safe на веб саммите – 90% реакций «вау! мне это нужно/я хочу видеть такой продукт на рынке/как помочь?» (даже от мужчин, в основном молодых до 40, постарше не выкупили идею)
Вижу много новых женщин-основательниц, особенно среди 25-30-летних! Умные, хваткие, не робеют перед инвесторами – мои role …
Ищите женскую компанию по всему миру на новой карте Brave&Safe
На днях в нашем женском приложении безопасных путешествий стало 10 000 пользовательниц, а путешественницы суммарно сэкономили ~20 000€ на жилье в поездках. Пока приложение проходит проверку в App Store и Google Play, мы решили не терять время зря 💃
Встречайте новую функцию – раздел People!
Это карта, на которой вы найдёте других пользовательниц Brave&S…
Правый поворот заканчивается?
Я сегодня не спала всю ночь – следила за выборами в США! Делаю это не столько ради любопытства, сколько ради понимания какой будет мировая экономика, торговля и политика в ближайшие годы – США всегда задаёт тренды. А ещё наше с вами женское приложение безопасных путешествий Brave&Safe зарегистрировано в США, так что держать руку на пульсе – часть моей работы CEO 🥺
Сегодня в США случилс…
Как ИИ попытался изменить мою личность
Long story short. Недавно смывала шампунь и заметила, что волосы отросли ниже талии. У меня никогда не было таких длинных волос, поэтому пропажа объема у корней и упавшие кудри под тяжестью длины стали новостью ☕
Представьте, я хочу усидеть на 3 стульях: сохранить длину, объем и завиток. Что делать? Конечно резать каскад! Но риск ошибиться слишком дорого стоит при такой длине,…
На русском я иду на разборки, на английском – на переговоры
Когда я начала бегло говорить по-английски, заметила странную вещь: стоит мне перейти на английский, как я сразу становлюсь приветливее, улыбчивее и гораздо проще завожу диалог с незнакомцами 😒 Моя slavic-личность could never 🔫
И так не только у меня. Люди, говорящие на нескольких языках, могут по-разному ощущать себя и проявлять разные черты в зависимости…
Всё думаю про фиговое дерево Сильвии Плат. На каждой его ветке растёт спелый инжир, и каждый плод – один из вариантов будущего. Пока героиня не решается выбрать что-то одно – плоды гниют, время уходит
Может потому что я мультипотенциал с кучей проектов и хобби, а может просто люди стали жить в 2,5 раза дольше, но выбрать один инжир на всю жизнь – это клетка. Может, нам стоит меньше жить в своей голове, решаясь на вы…
Как женщине превратить свою злость в силу
Я по жизни очень злая женщина, и я уважаю свою злость – это самое мощное топливо менять свою жизнь к лучшему
За годы мой навык злиться прошёл эволюцию – от желания крушить всё вокруг до чёткого понимания как использовать свой гнев на благо, менять то, что не нравится, и защищать свои интересы 😈
Женщинам вообще-то не очень разрешают злиться, даже социально наказывают за выр…
Матери способны «лечить» младенцев через грудное молоко
Принесла вам ещё один крейзи факт про женское тело. Наклёвывается новая постоянная рубрика! Если соберём больше 1000 реакций, крейзи факты про женское тело станут регулярными 💋
Ученые из университета Сан-Паулу определили, что иммунный состав грудного материнского молока может меняться во время инфекции у ребёнка 🌟☕️
Они сравнили молоко матерей здоровых и забо…
Что делать в 25+ лет, чтоб жить до 100
Я работаю за компом 24/7 над 4 своими проектами – можете представить, в каком ужасе от этого лайфстайла моя спина 😭
В августе я начала делать упражнения на осанку. Спине полегчало. Но мне НЕ понравилось решать проблемы со здоровьем после их наступления 🥺 Жить хочу долго, успеть много и заботиться о здоровье ещё до того, как что-то заболит
ВОЗ говорит, что достаточно ходить бы…
Менструальная кровь ускоряет регенерацию кожи
Принесла вам крышесносный факт про женское тело 💋🧊🤸♂️
Плазма менструальной крови содержит белки, которые ускоряют заживление кожи. К такому выводу пришли ученые из австралийского института – в эксперименте они нанесли плазму менструальной крови на повреждённый слой клеток кожи человека, и он восстановился на 100% за 24 часа!! А с обычной плазмой крови только на ~40%
Э…
ИИ делает женщин беднее, и это повод учиться работать с технологией
Пишу этот пост не для повышения вашей тревоги, а для осведомленности что происходит в экономике прямо сейчас и что нам делать 📞
Вышло исследование, которое зафиксировало следующее: женщины примерно так же, как и мужчины, пробуют ИИ, но реже осваивают его на уровне уверенного пользователя
Хотя на мой взгляд, ИИ способен разгрузить женщин сильнее вс…
❤227🤬75🔥29🤔18🕊2
Showing the 12 most recent of 34 posts we hold for @tashatale. 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.
Posts edited after publishing
@tashatale edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
5 November 2026
Most recent edit
5 November 2026
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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Феминистка инвестирует @feminvestingtelegram · 20,592 Telegram ranks this channel #29 of 82 here — alongside 81 others — read 26 September 2026
karolina_kanon @karolina_kanon · 22,095 Telegram ranks this channel #40 of 76 here — alongside 75 others — read 21 September 2026
Teplo.study – учеба за границей @teplostudy · 21,845 Telegram ranks this channel #41 of 87 here — alongside 86 others — read 21 September 2026
This channel appears in 3 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 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“rebel woman” (@tashatale), 24,336 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/tashatale.
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.