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Channel

Тень Франклина

@Shadow_of_Franklin

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Cite this entry

30,291subscribers

+2,347 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001154283751
TypeChannel
Username@Shadow_of_Franklin
Description▪️Сотрудничество - t.me/FranklinTalkBot ▪️Промокод FRANKLIN - скидка на все курсы ▪️Анонимность, OSINT, Кибербезопасность ▪️Онлайн-курсы. Обучение и инструменты
CreatedBetween 1 October 2018 and 31 May 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live27 October 2026
Measurements held49
Confirmed unchanged1 time, most recently 27 October 2026
On Telegramt.me/Shadow_of_Franklin

Topic

Hacking & security — 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 87% 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

27,94430,29329,118.56 August 2026 — 27,944 subscribers6 August 2026 — 27,962 subscribers7 August 2026 — 28,035 subscribers8 August 2026 — 28,075 subscribers9 August 2026 — 28,149 subscribers10 August 2026 — 28,199 subscribers12 August 2026 — 28,224 subscribers13 August 2026 — 28,248 subscribers14 August 2026 — 28,287 subscribers15 August 2026 — 28,320 subscribers17 August 2026 — 28,385 subscribers18 August 2026 — 28,403 subscribers19 August 2026 — 28,419 subscribers20 August 2026 — 28,448 subscribers21 August 2026 — 28,469 subscribers22 August 2026 — 28,513 subscribers24 August 2026 — 28,539 subscribers25 August 2026 — 28,577 subscribers26 August 2026 — 28,597 subscribers27 August 2026 — 28,600 subscribers28 August 2026 — 28,605 subscribers30 August 2026 — 28,614 subscribers31 August 2026 — 28,620 subscribers1 September 2026 — 28,627 subscribers2 September 2026 — 28,624 subscribers3 September 2026 — 28,612 subscribers6 September 2026 — 28,606 subscribers9 September 2026 — 28,660 subscribers11 September 2026 — 28,680 subscribers13 September 2026 — 28,694 subscribers15 September 2026 — 28,692 subscribers17 September 2026 — 28,720 subscribers27 September 2026 — 29,465 subscribers4 October 2026 — 29,880 subscribers9 October 2026 — 30,003 subscribers13 October 2026 — 30,042 subscribers14 October 2026 — 30,069 subscribers15 October 2026 — 30,085 subscribers16 October 2026 — 30,083 subscribers17 October 2026 — 30,080 subscribers18 October 2026 — 30,098 subscribers19 October 2026 — 30,120 subscribers20 October 2026 — 30,156 subscribers21 October 2026 — 30,196 subscribers22 October 2026 — 30,218 subscribers24 October 2026 — 30,259 subscribers25 October 2026 — 30,277 subscribers26 October 2026 — 30,293 subscribers27 October 2026 — 30,291 subscribers30,2916 August 202627 October 2026
49 measurements spanning 82 days, net +2,347. 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 27,592–30,645 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
27 Oct 2026, 07:5930,291-2
26 Oct 2026, 07:1030,293+16
25 Oct 2026, 05:5630,277+18
24 Oct 2026, 02:2930,259+41
22 Oct 2026, 23:2630,218+22
21 Oct 2026, 21:3430,196+40
20 Oct 2026, 14:0630,156+36
19 Oct 2026, 16:0130,120+22
18 Oct 2026, 16:2830,098+18
17 Oct 2026, 19:1830,080-3
16 Oct 2026, 17:3830,083-2
15 Oct 2026, 18:1030,085+16
14 Oct 2026, 17:5130,069+27
13 Oct 2026, 11:1030,042+39
9 Oct 2026, 06:0030,003+123
4 Oct 2026, 20:3729,880+415
27 Sept 2026, 04:4229,465+745
17 Sept 2026, 14:1828,720+28
15 Sept 2026, 09:4028,692-2
13 Sept 2026, 15:3628,694first reading

Engagement

122 posts held, back to 22 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 130 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.81%
avg views ÷ 30,291 subscribers
Avg views / post
2,970
40 posts measured
Reaction rate
0.993%
reactions ÷ views · ER floor
Posts in window
40
of 122 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 27 October 2026
Posts held122 (22 July 2026 – 27 October 2026)
Views total118,878
Reactions total1,181
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Oct 2026, 17:43 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

Photos
704
Videos
83
Links
552

Lifetime counters from Telegram’s own channel header, read 27 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
7m 02s
Average length
1m 24s

Measured directly from 5 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

3,404 reactions across 113 posts, in 11 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,06731.3%
❤85525.1%
👍77922.9%
⚡2677.84%
🤯2166.35%
😁1484.35%
😱371.09%
😢130.382%
👎90.264%
💯80.235%
☃50.147%

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 113 of the 122 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 3,404 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 122 most recent posts we hold, published 22 July 2026 to 27 October 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
65
across the posts below
Posts paid on
22
of 113 we hold a reading for · 19%
Most on one post
18
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Shadow_of_Franklin. 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 122 most recent posts we hold for this entry, published 22 July 2026 to 27 October 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.

Advertising

Ad load
0.82%
1 of 122 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
1,160
over 1 measured post
Median views · rest
2,880
over 112 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.

Measured over the 122 most recent posts we hold, published 22 July 2026 to 27 October 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

27 Oct 2026, 16:08 UTC658 views12 reactionsread 27 October 2026
Photo

⚡️Переписка с ChatGPT и Claude в уголовном деле как не попасть в досье 📱 СМОТРЕТЬ [10:54] 26 сентября женщина из Флориды написала в Клод, что поедет расстреливать офис шерифа. Она была уверена, что её читает только машина. Машина поставила флаг, флаг ушёл живым людям в Антропик, а те сами набрали силовиков. Взяли её дома, хотя адреса в переписке не было. В видео разбираю конвейер из трёх звеньев: классификатор, ко…

🔥6❤4⚡2

27 Oct 2026, 09:32 UTC≈1,160 views14 reactionsread 27 October 2026
AdvertisementPhoto

✉️ ИИ-поиск использует ваши данные из Gmail и Фото для таргетированной рекламы Google тихонько дописала в политику конфиденциальности одну строчку. Раньше там стояло "не показываем персональную рекламу по содержимому Drive, Gmail и Фото". Теперь к этому приклеено условие: "если ты сам разрешил ИИ-функциям Поиска доступ к этим сервисам, обработанные данные могут пойти и на рекламу". 🔍Речь про Personal Intelligence, …

🔥6⚡2❤2👍2🤯2

27 Oct 2026, 08:10 UTC≈1,230 views20 reactionsread 27 October 2026
Photo

😎Ввёл данные на сайте банка, а через пять минут они лежат в базе мошенников Сайт-приманка может выглядеть идеально, и глазами подделку не отличить. ⚡️В четверг в 19:00 на бесплатном вебинаре разберут: 🟥как отличить приманку от настоящего банка, даже когда она сделана без единой ошибки; 🟥на чём мошенники палятся и как их находят; 🟥как изнутри выглядит работа специалиста по кибербезу. Утечка данных у большинства жив…

🔥10👍6❤4

26 Oct 2026, 10:30 UTC≈1,650 views24 reactionsread 27 October 2026
Photo

🔒Камеры, замки и отопление школ в руках вымогателей В штате Айдахо восемь школ ушли в локдаун на два дня, а 4000 учеников остались сидеть дома. Вымогатели не просто зашифровали базы с оценками, а дотянулись до физического контура зданий: IP-камер, электронных дверных замков и систем климат-контроля (HVAC). 🔍До реального блокбастера с замурованными классами и ледяными батареями дело, к счастью, не дошло - администра…

❤11👍5🔥4🤯4

24 Oct 2026, 09:34 UTC≈2,120 views27 reactionsread 27 October 2026
Photo

🚒 Пожарные с канистрой: ФБР подозревает переговорщиков в связях с ShinyHunters Когда тебя ломают вымогатели, ты зовёшь переговорщика. Он торгуется, сбивает цену и помогает пережить позор. А теперь представь, что твой переговорщик сидит в одном чате с теми, кто тебя ломал... 🔍В начале октября ФБР арестовало канадца Эдварда Дубровского, ИБ-руководителя и автора книги о том, как вести себя при кибервымогательстве. Его…

❤14👍7🔥4⚡2

23 Oct 2026, 09:31 UTC≈2,440 views31 reactionsread 27 October 2026
Photo

🇨🇳 Китайцы два месяца ходили по компаниям через BeyondTrust BeyondTrust Remote Support это коробка, через которую техподдержка подключается к любому компьютеру в компании. Связка ключей от всех дверей. С конца августа ею пользовалась китайская шпионская группа ARMORY CASTLE, она же UNC5221, через зиродей CVE-2026-102764 на 9,3 балла. 🔍В Google расписали, что они там творили. 🟥Дыра пускала залить файл без авторизац…

⚡13❤7🔥6😁3👍2

22 Oct 2026, 12:33 UTC≈2,520 views16 reactionsread 27 October 2026
Photo

💵Пять мест для шейхов вся академия CyberYozh за один платёж ⚡️Golden Pass на 5 лет открывает весь каталог академии сразу: пентест, Active Directory, OSINT, анонимность, AI-агенты и всё остальное. Платишь один раз, за отдельные курсы не доплачиваешь. Каждый новый курс, который выйдет в академии, сам падает на твой аккаунт. Бесплатно. 🟥Подробнее о Golden Pass 🔥5 мест по 350 000 ₽ вместо 600 000 ₽ ⏰До 31 октября или п…

🔥8👍4❤2👎1😱1

22 Oct 2026, 12:09 UTC≈2,300 views28 reactionsread 27 October 2026
Photo

🌟 3 OSINT-ИНСТРУМЕНТА, ЧТОБЫ САМОМУ НАЙТИ ДЫРЫ Заставить компанию отвечать за дыры в безопасности почти нереально. Зато найти их самому проще простого. Вот три инструмента, о которых я жалею, что не узнал много лет назад. 1️⃣Сканер открытых баз (LeakIX) Даёшь один домен, и он находит все базы данных в этой сети, которые сисадмины забыли закрыть паролем. Бесплатно. 2️⃣Комплексный аудитор (Argus) Одна команда запуска…

🔥17👍6❤5

22 Oct 2026, 09:35 UTC≈2,170 views25 reactionsread 27 October 2026
Photo

🎣 Наживка из нейросети: копы ловят "PDF-файлов" на сгенерированного подростка В полиции Мичигана есть отдел с говорящим названием LURE, по-нашему "приманка". Его сотрудник, офицер оперативной группы ФБР, завёл в дейтинг-приложении Taimi профиль "Калеба". Фото сгенерировал ИИ: парень, похожий на подростка, возраст не указан. Живого ребёнка в этой схеме нет вообще. 🔍В сентябре наживке написал мужчина, работавший в ст…

🔥11👍7🤯5❤1😱1

21 Oct 2026, 09:32 UTC≈2,460 views22 reactionsread 27 October 2026
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🎲 У Qubic за полтора часа обнулили 1 404 кошелька ⚡️В ночь на 18 октября кто-то за 104 минуты вычистил 1 404 кошелька в сети Qubic, примерно на $1,3 млн. Блокчейн при этом остался цел, ломали саму генерацию сид-фраз. Веб-кошелёк Qubic собирал сиды через Math.random(), обычную функцию JavaScript для анимаций и игрушек, которую к криптографии подпускать нельзя. В браузерах на iPhone и iPad и в Safari на маке её выдач…

❤11🔥6👍3⚡1😁1

20 Oct 2026, 09:35 UTC≈2,870 views35 reactionsread 27 October 2026
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🍕 Додо вскрыли через GitHub, а хакера нашли по собственному IP В конце сентября Додо Пицца признала, что к ней залезли. Имена, адреса, телефоны, почты, даты рождения и история заказов. Группировка DataSuckers хвасталась базой на 68 млн клиентов и заказами за 15 лет, но эти цифры пока никто не подтвердил. ⚡️По новым данным прессы, корпоративные учётки Додо валялись на GitHub, а дальше по цепочке открылись облачные х…

❤20👍7⚡3🤯3🔥2

19 Oct 2026, 10:21 UTC≈2,970 views40 reactionsread 27 October 2026
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🌟 3 ИНСТРУМЕНТА OPSEC, КОТОРЫЕ ДОРОЖЕ НОВОЙ BMW 1️⃣ Кнопка мёртвеца (usbkill) Превращает любую флешку в рубильник. Если у тебя вырвут ноутбук или оттащат от стола, флешка выдернется, и комп мгновенно выключится и заблокируется. Прочитать ничего не успеют. 2️⃣ Анти-хвост (AirGuard) Сканирует эфир и бьёт тревогу, если тебе подкинули чужой Bluetooth-трекер и кто-то тайно следит за маршрутом. Работает строго офлайн: дан…

🔥26❤7👍7

Showing the 12 most recent of 122 posts we hold for @Shadow_of_Franklin. 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.

Posts edited after publishing

@Shadow_of_Franklin edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
11 August 2026
Most recent edit
16 August 2026

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 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.

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 27 October 2026 — this entry's latest reading, not the date you are reading this.

“Тень Франклина” (@Shadow_of_Franklin), 30,291 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/Shadow_of_Franklin.

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.