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Генопоиск| ДНК-тесты

@genopoisk

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

556subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001373588999
TypeChannel
Username@genopoisk
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/genopoisk

Growth

5545565558 August 2026 — 556 subscribers8 August 2026 — 554 subscribers15 August 2026 — 556 subscribers8 August 202615 August 2026
3 measurements spanning 7 days. 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 554–556 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 02:07556+2
8 Aug 2026, 19:22554-2
8 Aug 2026, 10:17556first reading

Engagement

20 posts held, back to 8 July 2026the 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 · 30 days
65.4%
avg views ÷ 556 subscribers
Avg views / post
364
13 posts measured
Reaction rate
3.51%
reactions ÷ views · ER floor
Posts in window
14
of 20 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
WindowRolling 30 days · latest post in window 8 August 2026
Posts held20 (8 July 20268 August 2026)
Views total4,730
Reactions total166
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 10:17 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

218 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 40.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8840.4%
🔥5927.1%
3516.1%
🤔219.63%
👏41.83%
💯41.83%
31.38%
🌚20.917%
👎10.459%
🙈10.459%

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 20 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 218reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 8 July 2026 to 8 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.

Recent posts

7 Aug 2026, 14:29 UTC173 views17 reactionsread 8 August 2026
Photo

Мы получили результаты очередного полногеномного секвенирования WGS 30× и решили показать их без маркетинговых формулировок, прямо по метрикам конкретного образца. Что получилось: — 30,6× — средняя глубина покрытия после маппинга — 32,9× — raw depth — 98,8% прочтений успешно картированы — 614 млн read segments — 92,2 ГБ данных — 6,7% дубликатов — 0,12% оценочная контаминация — 84,6% генома покрыто ≥30× — 97,1% геном

👍9🔥71

30 Jul 2026, 18:06 UTC292 views12 reactionsread 8 August 2026
Forwarded from @dargwadnaFile

Почему «встать в корень» Y-дерева — это иллюзия, а не повод для гордости Знакомая сцена: человек видит на дереве FamilyTreeDNA длинную прямую линию, уходящую вглубь веков, и заявляет: «Мы в самом корне, ветка наша, вы все пошли от нас». На самом деле эта линия говорит ровно одно: с ним пока никто не совпал. Это не биология, это дыра в данных. Собрал справочник по чтению дерева и раздела Discover. PDF, 19 страниц,

👍54🔥3

30 Jul 2026, 09:47 UTC346 views8 reactionsread 8 August 2026
Photo

❤️Почему базового теста мтДНК уже недостаточно? Еще совсем недавно большинство митохондриальных тестов анализировали только две небольшие области — HVR1 и HVR2. Для своего времени это был огромный шаг вперед. Но генетика развивается очень быстро. Сегодня известно, что гипервариабельные участки составляют лишь небольшую часть митохондриального генома. Основная информация, позволяющая определить точную ветвь происх

👍4🔥4

29 Jul 2026, 11:51 UTC418 views13 reactionsread 8 August 2026
Photo

❤️Почему древняя митохондриальная ДНК стала главным инструментом изучения женщин прошлого... История долгое время была историей мужчин. Летописи подробно перечисляют князей, полководцев и наследников престола. А вот о женщинах зачастую известно лишь имя, происхождение и дата смерти. Но у генетики другой взгляд. Каждый человек наследует митохондриальную ДНК только от матери. Она почти не меняется при передаче из пок

👍92👏1🤔1

28 Jul 2026, 16:03 UTC451 views18 reactionsread 8 August 2026
Photo

❤️Мария Шварновна: ДНК разрушает стереотипы о княжеской Руси... Кого вы представляете, когда слышите слова «русская княгиня XII века»? Скорее всего, светлокожую женщину славянского происхождения, происходящую из одного из европейских княжеских домов. Но древняя ДНК заставляет пересмотреть этот привычный образ. Недавно опубликованное исследование генома Марии Шварновны — жены Всеволода Большое Гнездо и матери двенад

👍6🤔6🔥51

26 Jul 2026, 13:04 UTC358 views15 reactionsread 8 August 2026
Photo

❤️Северное Причерноморье I тысячелетия: что древняя ДНК рассказала о скифах, сарматах, аланах За последние годы археогенетика кардинально изменила наше представление об истории Северного Причерноморья. Если раньше археологи реконструировали прошлое преимущественно по артефактам и погребальным традициям, то сегодня древняя ДНК позволяет напрямую проследить происхождение людей, их миграции и родственные связи. В ново

5👍4🔥32🤔1

24 Jul 2026, 13:14 UTC366 views20 reactionsread 8 August 2026
Photo

❤️Реальные цифры WGS — что скрывается за словом «геном» Недавно мы завершили обработку одного из образцов и хотим показать, как это выглядит изнутри — без маркетинга, просто цифры. Что секвенировали Мужчина из Псковской области. Обычная слюна, отправленная почтой. На выходе — полный геном. Что получилось по качеству — Покрытие генома: ~37–38× уникальных ридов. Это означает что каждая буква ДНК прочитана в среднем

🔥11👍72

23 Jul 2026, 16:16 UTC375 views6 reactionsread 8 August 2026
Forwarded from @iea_ras

Posted without readable text

👍5🤔1

22 Jul 2026, 07:54 UTC415 views9 reactionsread 8 August 2026
Photo

Пока мы обсуждаем денисовцев, древние геномы и новые открытия археогенетики, многие откладывают собственное исследование «на потом». Хотя именно с личных данных начинается понимание своей семейной истории. Поэтому решили сделать небольшую, но, вероятно, последнюю акцию этого лета. До 1 августа действует скидка 10% на все генеалогические ДНК-тесты Genopoisk по промокоду DATA. Особенно хочется обратить внимание на WG

🔥42👍2👏1

21 Jul 2026, 13:16 UTC374 views23 reactionsread 8 August 2026
Photo

❤️Денисовцы: самые загадочные родственники человека, которых мы никогда не видели История открытия денисовцев — один из самых ярких примеров того, как генетика способна изменить представления об эволюции человека. В 2010 году международная группа учёных под руководством Сванте Паабо исследовала небольшой фрагмент фаланги пальца, найденный в Денисовой пещере на Алтае. По внешнему виду кость невозможно было отличить о

👍13🤔82

Showing the 12 most recent of 20 posts we hold for @genopoisk. 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

Citation-graph rank — 629,829 of 1,480,975entries 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 1 registered channel — 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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Генопоиск| ДНК-тесты” (@genopoisk), 556 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/genopoisk.

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.