🎙️ Игорь Пантюхин — в эфире! Игорь Олегович Пантюхин — министр демографии и развития человеческого капитала Нижегородской области — принял участие в съёмках программы «Герои Волги» на телеканале «Волга». Какие темы подняли в интервью Руслану Станчеву: ▫️ситуация на региональном рынке труда, рекордно низкая безработица и кадровый дефицит; ▫️бесплатное переобучение по нацпроекту «Кадры»; ▫️программа «Герои.Нижегород…

Channel
Миндемографии и развития человеческого капитала
@ytznno
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
468subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002645969416 |
|---|---|
| Type | Channel |
| Username | @ytznno |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/ytznno |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 20:47 | 468 | +1 |
| 6 Aug 2026, 19:03 | 467 | no change |
| 6 Aug 2026, 18:01 | 467 | first reading |
Engagement
8 posts held, back to 28 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 · 30 days
- 4.22%
- avg views ÷ 468 subscribers
- Avg views / post
- 19.8
- 8 posts measured
- Reaction rate
- 12.0%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 8 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 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 8 (28 July 2026 – 6 August 2026) |
| Views total | 158 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:03 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
18 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 44.4% | |
| 🔥 | 6 | 33.3% | |
| 👍 | 4 | 22.2% |
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 7 of the 8 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 28 July 2026 to 6 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
Наши люди: стань героем Нижегородской области За любыми изменениями, достижениями и большими проектами стоят люди. Те, кто каждый день работает, развивает своё дело, создаёт семьи, меняет профессию, переезжает в Нижегородскую область и связывает с регионом своё будущее. Мы запускаем рубрику «Наши люди», чтобы знакомить вас с живыми историями нижегородцев, рассказывать об их профессиональном пути, важных решениях, с…
👍1🔥1
Все возможности спорта Нижегородской области в одном цифровом сервисе Жители Нижегородской области могут воспользоваться чат-ботом Минспорта региона в мессенджере МАХ и быстро получать полезную информацию о спорте, доступных сервисах и услугах для себя и своей семьи. С помощью чат-бота можно узнать о налоговом вычете за занятия спортом, получить информацию о возможностях для организаций и индивидуальных предпринима…
❤1
📈 Нижегородская область перевыполнила план программы «Мобильность 2.0» на 19% По итогам первого полугодия 2026 года предприятия региона привлекли по программе «Мобильность 2.0» 95 новых сотрудников при федеральном плане 80 человек на весь год. К программе уже присоединились 14 нижегородских работодателей. Для сравнения: за весь 2025 год её участниками стали 13 предприятий. Программа входит в национальный проект «К…
🔥3
3 года ПИО: Путь к работе должен быть открыт каждому Главная миссия Проектного инклюзивного офиса — помочь человеку с инвалидностью увидеть свои профессиональные возможности и пройти путь к устойчивой занятости. Не ограничиться подбором вакансии, а подготовиться к работе, найти подходящее место, уверенно войти в коллектив и сохранить занятость. Сегодня ПИО Нижегородского кадрового центра «Работа России» исполняется…
❤2🔥1
💐 32 года в службе занятости: спасибо за многолетний труд, Светлана Петровна! В год 35-летия службы занятости особенно значимыми становятся истории людей, которые создавали и развивали её на протяжении десятилетий. 32 года профессионального пути Светланы Петровны Рывкиной связаны с этой сферой. Она видела, как менялись технологии и подходы к работе, сама участвовала в этих преобразованиях и помогала коллегам осваива…
❤3👍1
МАКСимум пользы: всё о работе, обучении и мерах государственной поддержки Министерство демографии и развития человеческого капитала Нижегородской области и Нижегородский кадровый центр «Работа России» развивают свои каналы в национальном мессенджере MAX. Подписывайтесь, чтобы узнавать: ▪ о вакансиях и возможностях трудоустройства; ▪ программах обучения и переобучения; ▪ мерах поддержки семей и жителей региона; ▪ я…
❤1👍1
В Нижегородской области представители пресс-служб обсудили системный подход к информационному освещению трудовых достижений жителей региона На площадке КУПНО.СТАРТ состоялась фасилитационная сессия, организованная министерством демографии и развития человеческого капитала Нижегородской области совместно с Нижегородским кадровым центром «Работа России». К участию были приглашены 25 представителей пресс-служб регионал…
❤1👍1🔥1
Showing the 8 most recent of 8 posts we hold for @ytznno. 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 — 508,725 of 1,345,403entries 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.
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.
Mentions
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Миндемографии и развития человеческого капитала” (@ytznno), 468 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ytznno.
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.