Участие в телепередаче! На "Первом" https://www.1tv.ru/shows/dobroe-utro/mezhdu-tem/kem-byli-moi-predki-dobroe-utro-fragment-vypuska-ot-29-07-2026
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Channel
@dnahistory_rus
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
876subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001590089121 |
|---|---|
| Type | Channel |
| Username | @dnahistory_rus |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/dnahistory_rus |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 09:17 | 876 | +2 |
| 7 Aug 2026, 02:08 | 874 | no change |
| 6 Aug 2026, 19:51 | 874 | first reading |
18 posts held, back to 6 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 18 (6 July 2026 – 5 August 2026) |
| Views total | 1,327 |
| Reactions total | 21 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:51 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.
65 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 33.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 22 | 33.8% | |
| ❤ | 18 | 27.7% | |
| 🔥 | 17 | 26.2% | |
| 😁 | 4 | 6.15% | |
| 👀 | 2 | 3.08% | |
| 🌚 | 1 | 1.54% | |
| 🤷♂ | 1 | 1.54% |
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 15 of the 18 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 6 July 2026 to 5 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.
Участие в телепередаче! На "Первом" https://www.1tv.ru/shows/dobroe-utro/mezhdu-tem/kem-byli-moi-predki-dobroe-utro-fragment-vypuska-ot-29-07-2026
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Статья от энтузиастов! Интересный региональный проект. Смычка с краеведением, генеалогией и историей региона. Больше бы таких статей по разным местам https://geopark-yangantau.ru/tpost/m0czbvhsu1-istoriko-etnogeneticheskoe-issledovanie
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Интересную информацию о своей материнской линии нам прислал наш подписчик @Luksor2810, прошедший мито-тест. Гаплогруппа линии T1a1. На первой фотографии - прабабушка Александра Григорьевна Опекунская 12.04.1936-8.10.1997. Самый глубокий предок строго по женской линии это Ирина Горелова 1886 года смерти. Она родилась в Нарме, Ермишинский район, Рязанская область. Важно, что почти все поселенцы Нармы в 1816 году прие…
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Обзор славяноподобной группы Avar5 и потенциальные связи с постзарубинецким образцом из Малого Малешева. https://dzen.ru/a/alPpsAuLRFbTkFcS #балты #славяне #пражская #зарубинецкая #ibd #adna #дднк ✍️канал «Венедский вестник»
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Развитие теста старинного русского рода Телицыных, по которым имеется телеграм-канал https://t.me/TelicRod. Основная изучаемая линия - Телицыны из Вятского края, потомки Лариона Телицына https://rodnaya-vyatka.ru/blog/13175/153411. Ветвь - R1a-M458-A11460 https://www.yfull.com/tree/R-A11460/ подтвердилась при усилении теста. Очень малочисленна для Центра России. Интересна древняя находка, отображенная на YFull как …
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Интересен образец LIT449. Он прямо продолжает нашу тему с субкладами R1a-Z92 https://www.yfull.com/live/tree/R-YP5295/. Он относится к периоду средневекового Вильно с датировками 1200-1500. Образец отнесен к одной из дочерних ветвей https://www.yfull.com/live/tree/R-TY89860/, последняя нам уже часто встречается в регионе Верхней и Средней Оки. Начало описанного периода - "Литва на Протве" в летописях, конец периода…
Тему ВКЛ и населения Западных земель максимально разовьем в @DeepGenWestRus, тут продолжим на темы охватывающие большое число читателей (например, результаты по R1a-Z92) , в Рязанской ветке – связи с Окой @DeepGenRyazan. #днк #литва #вкл
Разбор результатов. Исходим из того, что многобуквенная нотация статьи дана по ISOGG https://isogg.org/tree/. В настоящее время дерево не обновляется, древо YFull можем считать более уточненным. Вместе с тем, во многих научных работах представление результатов по Y-хромосоме в многобуквенной форме идет все еще по ISOGG. В данном посте мы представим интерпретацию ветвей данных по Вильно, исходя из ISOGG-обозначений.…
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Новая работа подсветила около 57 геномов из Вильны эпохи ВКЛ. Даем ссылку их средневековой Вильны. «»Новое масштабное исследование в bioRxiv проливает свет на то, как Вторая пандемия чумы (XIV–XIX вв.) повлияла на геном жителей Северной Европы. Учёные из Копенгагена, Исландии и Вены секвенировали ДНК 529 древних людей из Норвегии, Швеции и Литвы с высокой глубиной покрытия (8.8x).» Ниже - актуальная ссылка. https://…
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С Днем Петра и Февронии Муромских! Ура! (по мотивам реконструкций Вячеслава Пленкова https://vk.com/reclamy_m)
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Ранее у нас был результат семьи Винокуровых - старожилов Зарайска https://t.me/DeepGenRyazan/2086. У них также с высокой степенью вероятности определяется TY89860. На https://t.me/DNA_YoungBranchesRus с несколькими гаплотипами из Рязанского (и около) региона данной ветви будем разбираться подробнее, с попыткой спуститься еще глубже.
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Друзья! В настоящее время в Москве идет частичная распродажа очень хорошей библиотеки по генеалогии и краеведению (в основном дубликаты). Много книг на самые разнообразные темы и про разные регионы и роды. В библиотеке надо наводить порядок, списка нет. Скорее, если найдется книга на нужную тему - предложим. Пишите темы в личку, что интересно, если что-то найдется - оповестим.
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Showing the 12 most recent of 18 posts we hold for @dnahistory_rus. 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.
Citation-graph rank — 600,893 of 1,481,217entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 3 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.
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.
@dnahistory_rus named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Deep Genealogy: и ДНК: История Евразии” (@dnahistory_rus), 876 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/dnahistory_rus.
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.