Елена Брозовская😎
Реконструирую жизнь своих предков и пишу о них книги.
Клуб "Напиши о предках" https://elenabrozovskaya.ru/klub_predki
Ищите предков тут https://elenabrozovskaya.ru/navigator_new
Моя книга https://tamgdebulki.elenabrozovskaya.ru/
Created
30 November 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
4 measurements spanning 10 days, net +19. 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 7,456–7,481 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 15:43
7,478
+7
9 Aug 2026, 16:06
7,471
+12
6 Aug 2026, 07:00
7,459
no change
6 Aug 2026, 04:07
7,459
first reading
Engagement
22 posts held, back to 22 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 12 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
36.9%
avg views ÷ 7,478 subscribers
Avg views / post
2,760
10 posts measured
Reaction rate
7.92%
reactions ÷ views · ER floor
Posts in window
10
of 22 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. It is computed over the 9 of 10 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
22 (22 June 2026 – 12 August 2026)
Views total
27,630
Reactions total
1,912
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
18 Aug 2026, 07:32 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
443
Videos
51
Links
279
Lifetime counters from Telegram’s own channel header, read 18 August 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
2m 18s
Average length
1m 09s
Measured directly from 2 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
3,257 reactions across 17 posts, in 21 distinct kinds. The most used accounts for 46.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,518
46.6%
❤
679
20.8%
❤🔥
494
15.2%
👍
201
6.17%
👏
101
3.10%
🙏
66
2.03%
💔
42
1.29%
🍾
38
1.17%
✍
30
0.921%
💯
27
0.829%
🎉
15
0.461%
🤔
13
0.399%
😱
12
0.368%
😢
6
0.184%
🕊
4
0.123%
⚡
3
0.092%
🆒
2
0.061%
🤓
2
0.061%
🦄
2
0.061%
👨💻
1
0.031%
1 further kind
1
0.031%
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 22 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 3,481reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 22 June 2026 to 12 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.
Telegram Stars
Stars received
11
across the posts below
Posts paid on
7
of 20 we hold a reading for · 35%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @familii_predkov. 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 22 most recent posts we hold for this entry, published 22 June 2026 to 12 August 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.
Нашла сейчас оторванную часть форзаца из Библии, которая принадлежала прабабушке Фросе. Форзац был внутри, среди страниц. На нём указаны годы рождения Фросиного мужа Павло и их сыновей: Николая (моего деда) и Георгия. Для кого-то это чужие имена, но для многих из вас это знакомые – Пшеничные, герои книги "Там, где булки растут на деревьях"🔥
Думаю завтра прогнать фотографию этого клочка через редактор, чтобы надписи…
Утром показала этот эпиграф в клубе "Напиши о предках", когда проверяла тексты и читала комменты своих. Потом рассказала, из какой книги я его взяла.
А сейчас решила рассказать о книге и вам. Многим ведь пригодится!
Сергей Максудов "Победа над деревней. Демографические потери коллективизации".
Этой книгой я пользовалась, когда писала "Булки". Для "Красных девок" она мне тоже понадобится. Это не художка, конечно. А…
👆👆👆Комментарий 16-летнего Андрея, который я увидела вчера вечером под своим постом, так хорош, что я его решила переслать сюда, в канал. Хочу, чтобы вы зарядились его энергией🔥. Желаю Андрею большого успеха в его проектах и удачи в поисках предков!
Андрей упоминает мою видеолекцию "А завтра была война. Где искать информацию о человеке военного времени и как написать о нём хороший текст". Если вы в моём блоге недавно…
Елена, здравствуйте!
Меня зовут Андрей, мне 16 лет. Я живу в Гомеле (Беларусь) и учусь в 11 классе на историческом профиле, а всё свободное время посвящаю генеалогии.
Вдохновившись вашими книгами, лекциями и постами, я начал активно писать о своих предках. И хотя учительница истории отмахивалась от моих идей, я следовал вашим советам, продолжал работать и в итоге стал призером республиканских и международных конкур…
Сегодня с утра ВК теребит меня уведомлениями о том, что кому-то понравился пост с упоминанием меня. Захожу... и вижу свежий отзыв о моей книге от Елены. Цитирую его полностью, без купюр (а заодно обещаю в ближайшее время рассказать вам снова о том, что такое реконструкция жизни и почему "художественный стиль" в моей книге – это не равно "элементы фантазирования").
«Булки» я захотела сразу, как только узнала о существ…
А мы в клубе встретили первую ласточку! 🔥🎉
Аня выложила в наш чат свою свеженапечатанную родословную книгу. Мы Аню дружно качаем и поздравляем. Ну а я по традиции попросила разрешения автора показать книгу вам.
Не надо думать, что эта книга написана всего за два месяца, которые прошли со дня старта клуба. Аня (генеалог Анна Денисенко) в клубе "Напиши о предках" второй сезон. Она искала, писала, шла в своем темпе мал…
🎉Ура, дождались! Помните, в феврале я отправляла на литературный конкурс, который проводили издательства Alpina Digital и "Бель Леттр", историю "Два бога"? Она о том, как мой православный дед хитростью женился на баптистке, и та потом делала непростой выбор между семьей и верой и изобретала способы комфортного проживания с тираном...
Итоги конкурса подводили весной. Жюри внесло мою историю в список призеров. Награда…
Только что, листая Пинтерест, нашла это видео. Посмотрите, как отреставрировали, осовременили и сделали жилой 130-летнюю избу. Видеообзор снял Алексей Кутейников, правнук владельца избы.
Как вам такая интеграция прошлого в наше настоящее?
Если Телеграм не грузит видео, его можно посмотреть в моем ВК-блоге https://vk.ru/27familiy во вкладке "Клипы"
или в первоисточнике на Пинтересте https://pin.it/77fGqm66T
📌Сохраняйте эту шпаргалку, если пишете родословную книгу или хотя бы биографию своего предка-бойца. В "шпоре" я собрала самые распространенные слова, которые превращают текст в бюрократическую нудятину, и показала, как перевести их на нормальный, лёгкий язык. Откройте картинку полностью, телеграм иногда обрезает.
Шпаргалку сделала для участников клуба "Напиши о предках", а потом решила выложить её для всех. Это база…
И такое бывает - я сменила название главы и её временные рамки👆. Хотела писать о том, как на селе боролись с Богом и "раскрепощали угнетенных религией" женщин, но эпизод со свадьбой Василия и Ани (моих пра) стал обрастать подробностями и затмил всё. Василий хотел красную свадьбу: без благословения родителей, без колец и платья, с советскими лозунгами и красными флагами. Аня хотела белое платье и соблюдения старинного…
✍️ Обновления в навигаторе "Найди предков"!
Добавлены новые полезные ссылки по Костромской, Курской, Нижегородской, Рязанской (много!), Тамбовской губерниям, а также по поиску корней в Польше. А ещё - несколько ссылок в раздел «Великая Отечественная война».
Периодически буду делать такие короткие посты про обновления, чтобы те, у кого уже есть абонемент, не забывали снова заглянуть в нужные разделы.
Взять абонемен…
🔥53❤15👍11
Showing the 12 most recent of 22 posts we hold for @familii_predkov. 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 — 199,317 of 1,548,671entries 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
Named by 4 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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Генеалогия и 27 моих фамилий” (@familii_predkov), 7,478 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/familii_predkov.
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.