Telegram RegisterThe public register of Telegram

Channel

Тень Франклина

@Shadow_of_Franklin

On this record: Growth · Engagement · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

28,287subscribers

+343 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
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Shadow_of_Franklin

Growth

27,94428,28728,115.56 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 subscribers6 August 202614 August 2026
9 measurements spanning 8 days, net +343. 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 27,893–28,338 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 07:0828,287+39
13 Aug 2026, 00:4528,248+24
12 Aug 2026, 01:5328,224+25
10 Aug 2026, 23:4128,199+50
9 Aug 2026, 21:2328,149+74
8 Aug 2026, 18:1528,075+40
7 Aug 2026, 20:5328,035+73
6 Aug 2026, 20:2527,962+18
6 Aug 2026, 16:1527,944first reading

Engagement

26 posts held, back to 22 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 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.60%
avg views ÷ 28,287 subscribers
Avg views / post
2,720
23 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
26
of 26 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 13 August 2026
Posts held26 (22 July 202613 August 2026)
Views total62,473
Reactions total736
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 02:59 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

736 reactions across 23 posts, in 11 distinct kinds. The most used accounts for 33.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥24633.4%
16522.4%
👍15621.2%
🤯699.38%
648.70%
😁121.63%
😱91.22%
👎70.951%
💯40.543%
😢30.408%
10.136%

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 23 of the 26 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 736reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 22 July 2026 to 13 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 23 we hold a reading for · 4%
Most on one post
1
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 26 most recent posts we hold for this entry, published 22 July 2026 to 13 August 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

13 Aug 2026, 09:31 UTC993 views34 reactionsread 14 August 2026
Photo

📖Читаете книгу в метро? А ваш телефон в это время скликивает миллионы долларов 😎Пока вы спокойно листаете очередную главу романа с экрана Android-смартфона, ваше устройство может в поте лица трудиться на киберкриминальный синдикат. Исследователи из IAS вскрыли мошенническую схему Papyrus, которая превращала популярные приложения-читалки в невидимые фабрики по генерации фальшивого рекламного трафика. 🔍Выбор приложен

🔥19🤯74👍3💯1

12 Aug 2026, 09:32 UTC≈1,610 views34 reactionsread 14 August 2026
Photo

👮32 года тюрьмы за чужие пароли из 2020 года 26-летний канадец Коннор Райли Мука признал вину в американском суде. За один из крупнейших кибервзломов последних лет ему грозит до 32 лет колонии. Мука вместе с подельниками выпотрошил базы данных 165 гигантов (включая Ticketmaster на 560 млн юзеров и AT&T на 100 млн логов звонков), вытянул миллионы долларов выкупа и распродавал личную информацию людей на киберпреступны

🤯1410😁7👍3

11 Aug 2026, 09:30 UTC≈1,830 views30 reactionsread 14 August 2026
Photo

💵Легкий заработок в Москва-Сити на 10 лет строгача ФСБ накрыла сеть теневых криптообменников Престижные офисы в Москва-Сити в очередной раз оказались фасадом для банального отмыва украденных денег. Силовики накрыли девять незарегистрированных криптообменников, через которые деньги обманутых российских пенсионеров пачками переводились в криптовалюту и уходили за рубеж. 🔍Схема работала как часы, сочетая социальную ин

🔥1744👍3🤯2

10 Aug 2026, 09:35 UTC≈1,920 views15 reactionsread 14 August 2026
Photo

В подтверждение последнего поста собрал вам статистику наглядную из исследования. © Тень Франклина

10👍32

10 Aug 2026, 09:13 UTC≈1,830 views29 reactionsread 14 August 2026
Photo

🛠Криптография бессильна перед паяльником почему утечки данных превратили владельцев криптовалюты в живые мишени 🔍Статистика 2026 года показывает пугающий тренд: преступникам больше не нужно искать сложные 0-day уязвимости в софте, если можно просто прийти домой к владельцу крипты или его близким. С начала года так называемые атаки с гаечным ключом уже принесли грабителям более $30 млн. Общая же сумма вымогательств и

🔥1575👍2

9 Aug 2026, 09:35 UTC≈2,040 views25 reactionsread 14 August 2026
Photo

⚡️Как легально находить уязвимости сайтов и получать $10.000 (Bug Bounty) | УРОК 6 "Протокол Франклина" 📱▶️СМОТРЕТЬ [09:41] Веб-безопасность - это иллюзия. Каждый десятый сайт в интернете уязвим к атакам, которые были придуманы еще 25 лет назад. В этом видео я покажу, как развернуть собственную легальную хакерскую лабораторию DVWA (Damn Vulnerable Web App) через Docker. Мы разберем критические уязвимости из списка

🔥1573

9 Aug 2026, 09:24 UTC≈1,800 views25 reactionsread 14 August 2026
Forwarded from @cyberyozh_officialPhoto

😒 Как найти человека по IP Почему твой IP показывает точные координаты 📱 СМОТРЕТЬ [05:36] Многие до сих пор думают, что узнать чужой IP-адрес - это не страшно, ведь он показывает только страну и город. В этом видео Давид разрушит этот миф и покажет, насколько глубоко можно деанонимизировать человека, зная лишь набор цифр. Мы пройдемся по 5 публичным OSINT-инструментам (iplocation, geolocation и другим) и на практи

🔥18👍61

7 Aug 2026, 09:31 UTC≈2,580 views55 reactionsread 14 August 2026
Photo

🥶Зачем ломать сервер, если можно выключить кондиционер Корпорации вливают миллионы долларов в эшелонированную защиту, продвинутые файрволы и мониторинг серверов, совершенно забывая, что любой современный дата-центр - это в первую очередь физическое здание. Исследователи из Claroty Team82 проанализировали 750 тысяч инженерных устройств в крупнейших ЦОДах мира и подсветили уязвимость: чтобы положить всю инфраструктур

👍27🔥159👎2😁2

6 Aug 2026, 09:34 UTC≈2,880 views35 reactionsread 14 August 2026
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👮Цена одной опечатки как потерянное подчёркивание в нике отправило невиновного в тюрьму на полтора года 👍Цифровая криминалистика - мощный инструмент, но в руках некомпетентных исполнителей она превращается в орудие инквизиции. История канадца Брэндона Клейма - пугающее наглядное пособие того, как слепая вера следователей в единственную строчку из базы данных может сломать человеку жизнь. В 2018 году полиция Висконс

👍216😱4💯31

5 Aug 2026, 10:24 UTC≈3,060 views38 reactions1 Starread 14 August 2026
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🔥3 ПОЛЕЗНЫХ ИНСТРУМЕНТА OSINT 1️⃣Alfredredbird - Аналог Sherlock. Этот инструмент берет всего одно имя пользователя и находит абсолютно все аккаунты этого человека в интернете. 2️⃣Decimation - Он берет одно изображение и ищет его сразу во всех системах обратного поиска изображений. 3️⃣blacklanternsecurity - Этот сканер берет один домен компании и составляет карту всего, что у них есть в сети. © Тень Франклина

🔥267👍4👎1

5 Aug 2026, 09:34 UTC≈2,730 views23 reactionsread 14 August 2026
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🚁Хакеры угнали инфраструктуру производителя дронов 24 июля неизвестные провернули захват DNS - настроек домена австралийской компании CubePilot - крупного производителя навигационного оборудования и контроллеров для беспилотников. 😎Злоумышленники не просто завернули весь трафик на свои подконтрольные серверы, но и спокойно выпустили валидные TLS-сертификаты для всех поддоменов. В итоге пользователи заходили на прив

👍10🔥54🤯31

4 Aug 2026, 09:33 UTC≈2,760 views36 reactionsread 14 August 2026
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📨💀Нет опыта? Держите взлом как абитуриент хакнул университет ради места на курсе по кибербезопасности 😔История из Индии: парня не взяли на новую программу бакалавриата по кибербезопасности в престижные институты IIT Kanpur и IIT Madras. Причина отказа - комиссия заявила об отсутствии подтвержденного опыта. Абитуриент не растерялся и решил предоставить самое наглядное портфолио из возможных - взял и взломал официальн

👍1810🔥431

Showing the 12 most recent of 26 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.

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 edited after publishing

@Shadow_of_Franklin edited 1 post 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
11 August 2026

Citation-graph rank

Citation-graph rank — 738,488 of 1,336,469entries 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 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Тень Франклина” (@Shadow_of_Franklin), 28,287 subscribers as measured 14 August 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.