Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 35% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
61 measurements spanning 98 days, net +182. 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 19,809–20,045 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
12 Nov 2026, 16:46
20,018
+14
10 Nov 2026, 11:11
20,004
+2
8 Nov 2026, 19:50
20,002
-1
7 Nov 2026, 12:59
20,003
-2
6 Nov 2026, 16:21
20,005
-5
5 Nov 2026, 17:10
20,010
-3
4 Nov 2026, 18:40
20,013
+3
3 Nov 2026, 15:47
20,010
+1
2 Nov 2026, 18:51
20,009
+1
1 Nov 2026, 19:31
20,008
+7
31 Oct 2026, 18:50
20,001
+5
28 Oct 2026, 14:26
19,996
+7
26 Oct 2026, 15:11
19,989
+1
25 Oct 2026, 13:27
19,988
-6
24 Oct 2026, 13:57
19,994
+4
23 Oct 2026, 13:50
19,990
-2
22 Oct 2026, 13:04
19,992
+3
21 Oct 2026, 07:57
19,989
+3
20 Oct 2026, 04:01
19,986
+12
19 Oct 2026, 05:55
19,974
first reading
Engagement
21 posts held, back to 18 February 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 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.9%
avg views ÷ 20,018 subscribers
Avg views / post
3,980
2 posts measured
Reaction rate
0.868%
reactions ÷ views · ER floor
Posts in window
2
of 21 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
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
21 (18 February 2026 – 5 November 2026)
Views total
7,950
Reactions total
69
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 16:21 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
23s
Average length
23s
Measured directly from 1 video 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
1,049 reactions across 21 posts, in 9 distinct kinds. The most used accounts for 44.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
467
44.5%
❤
293
27.9%
🔥
240
22.9%
😁
22
2.10%
🤝
11
1.05%
🤔
7
0.667%
👌
6
0.572%
👎
2
0.191%
🤬
1
0.095%
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 21 of the 21 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 1,049 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 18 February 2026 to 5 November 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
24
across the posts below
Posts paid on
12
of 21 we hold a reading for · 57%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Pulsechanel. 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 21 most recent posts we hold for this entry, published 18 February 2026 to 5 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 2 posts held from the last 30 days (50.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#полезное
Bellingcat сделали сравнительное исследование эффективности ИИ для геолокации фотографий.
🟡 Для тестов использовались наиболее популярные модели (Claude, Grok, Gemini, ChatGPT, Mistral, модели от Moonshot AI Kimi, GeoSeer и GeoClip), каждую модель проверяли на 52 фотографиях. Оценка давалась по двум результатам:
приблизительно определить регион и точность в пределах последних километров.
❗️ Если кратко, …
#теория 1️⃣0️⃣ | неопределённость
🔣Я когда-то уже писал что эффективный осинтер должен действовать не по шаблону или алгоритму, а быть адаптивным т.е. уметь изменять свои методы и подходы в зависимости от ситуации. Если продолжать эту мысль, то ещё одна способность которую необходимо развивать - это принятие решений в условиях неопределённости.
❔Неопределённость это стандартное начальное состояния любого расследова…
#новости OSINT / 6️⃣ / 08.10.2026
📌 Расследование ICIJ "China Capital"
ICIJ в партнёрстве с другими редакциями выпустили большое расследование, основу которого составил анализ внутренней документации Industrial and Commercial Bank of China (ICBC) - одного из крупнейших банков мира. Если кратко, то суть расследования в том что китайское правительство использует этот банк для политических целей и задач (я бы очень уд…
#новости OSINT / 5️⃣ / 16.09.2026
📌 Anthropic опубликовала отчёт о выявленных фактах злоупотреблений в сфере ИИ
Отчёт основан на операциях, обнаруженных и заблокированных за период с декабря 2025-го по август 2026 года. Описываются попытки использовать Claude для вредоносной деятельности по семи направлениям: кибер-атаки, операции влияния, слежка, мошенничество, биологическое злоупотребление, разработка вооружений…
#новости OSINT / 4️⃣ / 24.08.2026
📌 Awesome OSINT Repositories
Новый каталог общедоступных OSINT-репозиториев. На данный момент объединяет 443 инструмента в 12 категориях. К каждому добавлено краткое описание, дата создания и последнего обновления. Подборка интересная, есть смысл ознакомится.
👆 Источник:
https://github.com/oryon-osint/awesome-osint-repos
📌 Velocity
Интересный новый проект Velocity - это локальна…
#инструменты | сайт
💻 В раздел "Сайты" в подборке https://hacker-basement.com/osint-list/ добавил актуальные инструменты для сбора информации о сайте:
➡️ https://dnsdumpster.com - онлайн сервис для анализа инфраструктуры домена. Умеет находить поддомены, записи DNS, сканировать порты (nmap), определять работающие сервисы, обратный поиск. В бесплатной версии: 50 запросов в день и 50 поддоменов
➡️ https://github.co…
#новости OSINT / 3️⃣ / 30.07.2026
➡️Расследование OCCRP и Guardian Australia про блокчейн-сеть AB
Само расследование нишевое. Но его интересно почитать с точки зрения подхода, методов изучения компаний и анализа информации. Они там четыре месяца изучали сайты, соцсети, фотографии, документы и данные перелётов что бы разложить деятельность, структуру и сдеанонить тех кто стоит за очередной амбициозной "крипто-компа…
#новости OSINT / 2️⃣ / 16.07.2026
➡️Pegasus Project: расследование OCCRP и технический разбор от Amnesty
16 июля OCCRP и Forbidden Stories опубликовали расследование, основанное на показаниях бывшего сотрудника марокканской DGST (агентство внутренней разведки и госбезопасности Марокко). В расследовании рассказывается, что Марокко использовало Pegasus с 2017 года, закупая доступ через частного посредника, чтобы скр…
#новости OSINT / 1️⃣ / 09.07.2026
🟡Для разнообразия ввожу новую рубрику "Новости". Буду раз или два в неделю рассказывать что там нового в осинте или около него с моими краткими комментариями.
➡️Pegasus и их друг, бывший евродепутат из комитета PEGA
Суть: Citizen Lab 3 июля 2026 опубликовали статью, что бывший депутат Европарламента и журналист Стелиос Кулоглу был взломан Pegasus минимум трижды в 2022–2023 годах, …
🔔Циферки показывают, что моими приложениями пользуются, что даёт повод сделать вывод о их полезности, что, в свою очередь, не может не радовать. А значит есть повод поделиться и другими моими штуками.
➖➖➖➖➖➖
Quiz Generator | by Pulse
нэйминг, как всегда, без лишних отсылок, скромен и аскетичен
🎯 Quiz Generator - это визуальный конструктор интерактивных тестов и опросников. Приложение работает в браузере и генерирует…
🎞 МИФЫ и РЕАЛЬНОСТЬ про ИИ. Использование в OSINT
➡️ https://youtu.be/8d-W-YAQuSY
👍31❤6😁1
Showing the 12 most recent of 21 posts we hold for @Pulsechanel. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @Pulsechanel as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
3 November 2026
Most recent seen missing
3 November 2026
Median time before seen missing
2 months
Seen missing in the last 30 days
1
Mentions
Named by 2 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 29 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
OSINT mindset @osint_mindset · 64,889 Telegram ranks this channel #23 of 83 here — alongside 82 others — read 21 August 2026
Mycroft Intelligence @mycroftintel · 20,680 Telegram ranks this channel #25 of 76 here — alongside 75 others — read 25 September 2026
КІБЕРБЕЗ @cybersecurity_ua · 53,697 Telegram ranks this channel #26 of 82 here — alongside 81 others — read 24 August 2026
Чёрный Треугольник @black_triangle_tg · 63,962 Telegram ranks this channel #45 of 87 here — alongside 86 others — read 21 August 2026
ZeroDay | Кибербезопасность @cybersec_academy · 42,579 Telegram ranks this channel #46 of 70 here — alongside 69 others — read 29 August 2026
Лаборатория хакера @lab_hack · 25,404 Telegram ranks this channel #48 of 71 here — alongside 70 others — read 14 September 2026
Social Engineering @Social_engineering · 124,659 Telegram ranks this channel #52 of 82 here — alongside 81 others — read 13 August 2026
Mr. Robot @elliot_cybersec · 38,905 Telegram ranks this channel #61 of 70 here — alongside 69 others — read 31 August 2026
Этичный Хакер @hack_less · 243,060 Telegram ranks this channel #62 of 81 here — alongside 80 others — read 12 August 2026
This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“PulSe” (@Pulsechanel), 20,018 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/Pulsechanel.
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.