НСИС: Тренд на рост продаж краткосрочного ОСАГО сохраняется в течение 7 месяцев 2026 года Национальная страховая информационная система (НСИС) фиксирует стремительный рост продаж в РФ краткосрочных полисов ОСАГО на протяжении всех прошедших семи месяцев 2026 года. Эта тенденция влияет как на общее число проданных полисов, так и на снижение размера средней премии по ОСАГО. За 7 месяцев 2026 года количество заключенн…

Channel
НСИС - оператор АИС страхования
@Inssys
On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Cite this entry
3,040subscribers
+417 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001953670424 |
|---|---|
| Type | Channel |
| Username | @Inssys |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/Inssys |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 21:46 | 3,040 | +417 |
| 7 Aug 2026, 20:08 | 2,623 | no change |
| 7 Aug 2026, 16:47 | 2,623 | first reading |
Engagement
19 posts held, back to 30 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 37.3%
- avg views ÷ 3,040 subscribers
- Avg views / post
- 1,140
- 15 posts measured
- Reaction rate
- 1.21%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 19 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 13 of 15 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 | 19 (30 June 2026 – 6 August 2026) |
| Views total | 17,025 |
| Reactions total | 187 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:47 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
- Video runtime
- 3m 49s
- Average length
- 1m 16s
Measured directly from 3 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
206 reactions across 15 posts, in 23 distinct kinds. The most used accounts for 23.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 48 | 23.3% | |
| 🔥 | 46 | 22.3% | |
| 👍 | 27 | 13.1% | |
| 👏 | 21 | 10.2% | |
| 🙏 | 8 | 3.88% | |
| ⚡ | 7 | 3.40% | |
| 🤝 | 6 | 2.91% | |
| 🥰 | 6 | 2.91% | |
| 😁 | 5 | 2.43% | |
| 🤣 | 5 | 2.43% | |
| ❤🔥 | 4 | 1.94% | |
| 💘 | 4 | 1.94% | |
| 🤩 | 4 | 1.94% | |
| 😎 | 3 | 1.46% | |
| 🆒 | 2 | 0.971% | |
| 👎 | 2 | 0.971% | |
| 🤓 | 2 | 0.971% | |
| 🎉 | 1 | 0.485% | |
| 🏆 | 1 | 0.485% | |
| 💊 | 1 | 0.485% | |
| 3 further kinds | 3 | 1.46% |
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 19 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 206reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 30 June 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.
Advertising
- Ad load
- 5.26%
- 1 of 19 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 1,260
- over 1 measured post
- Median views · rest
- 1,190
- over 18 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 7f62dtc9nnk | 1 | 31 July 2026 | 31 July 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 19 most recent posts we hold, published 30 June 2026 to 6 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
НСИС преодолел 10-дневную DDoS-атаку НСИС (оператор АИС страхования) преодолел 10-дневную DDoS-атаку, сообщил генеральный директор компании Николай Галушин в подкасте оператора. «Одним из недавних ключевых событий стала серьёзная DDoS-атака, которая длилась почти десять дней. Это была не случайная «школьная» шалость: подобные атаки требуют значительных ресурсов и всегда целенаправленны. В нашем случае злоумышленник…
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Офис НСИС: место, куда приезжают на байке, где работают, вдохновляясь видом на Замоскворечье, и поют в караоке)) Если вы до сих пор думаете, что IT-офис — это серые стены и вечный open space без окон, — вы не были в НСИС на Павелецкой. АО «НСИС» — оператор Национальной страховой информационной системы, созданной Банком России в 2023 году. С 1 октября 2024 года система полноценно работает, объединив разрозненные дан…
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Продолжаем добрую традицию посещать офисы друзей и партнеров проекта ЛЮДИ без страха! Уже сегодня - экскурсия в главную айти-компанию России! про меня | про подкаст | мы в ВК
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Алексей Янов (НСИС): рынок киберстрахования ждет стандартизация и новые продукты для промышленности 30 июля 2026 года в Москве состоялся круглый стол «Страхование киберрисков: в поисках диалога с промышленностью». Мероприятие объединило представителей промышленности, ТЭК, страховых и ИБ-компаний для обсуждения развития рынка киберстрахования. Ключевым участником и модератором выступил Алексей Янов, директор по инфор…
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Эксперты НСИС задают стандарты эффективности как на страховом рынке, так и в цифровом сегменте На ключевом цифровом форуме страхового рынка InsurtechDay 2026 начальник отдела по разработке и внедрению систем ИИ Александр Макаров и ведущий системный архитектор Дмитрий Болот представили доклад о внедрении ИИ в НСИС. 📊Особый интерес вызвали приведенные ими данные: скорость обработки обращений благодаря автоматизации в…
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Спикеров InsurtechDay 2026 попросили кратко ответить на три вопроса. 1️⃣ Что такое иншуртех — одним предложением? 2️⃣ ИИ-революция в страховании — уже реальность или пока красивая презентация? 3️⃣ Рынок — 4 трлн рублей. Цифровая трансформация может его удвоить? Если да — когда? Отвечает Николай Галушин, генеральный директор НСИС. Материал подготовлен проектом «ЛЮДИ без страха» специально для АСН.
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В НСИС заявили о готовности интеграции для проверки наличия ОСАГО через камеры *️⃣ Интеграция по обмену данными между Национальной страховой информационной системой (НСИС) и ГИБДД состоялась. Все готово к интеграции данных для проверки наличия полиса ОСАГО через дорожные камеры, сообщил глава НСИС Николай Галушин на ll Всероссийском форуме «InsurtechDay 2026». 🎙️🗣Он рассказал, что «сейчас ежедневно заключается 254 …
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Николай Галушин, генеральный директор НСИС, о регулировании ИИ: Джинна уже выпустили из бутылки, его уже не загнать обратно. Технология развивается быстрее, чем законотворческий процесс, поэтому любые ограничения рискуют оказаться формальными и неработающими, отметил глава НСИС, выступая на InsurtechDay 2026. При этом он рассказал о том, что на внедрение ИИ в НСИС распространяются те же требования по информационной…
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Рынок киберстрахования может сделать рывок в развитии благодаря внедрению единых подходов к оценке риска на основе существующих ГОСТов, заявил директор по информационной безопасности Национальной страховой информационной системы (НСИС) Алексей Янов на форуме Клуба страховых конференций по теме ИБ. Алексей Янов сформулировал позицию по созданию единой методологии оценки киберготовности. В основу легло предложение исп…
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Showing the 12 most recent of 19 posts we hold for @Inssys. 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 — 789,857 of 1,151,006entries 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
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“НСИС - оператор АИС страхования” (@Inssys), 3,040 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Inssys.
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.