Telegram RegisterThe public register of Telegram

Channel

Mike Blazer

@MikeBlazerX

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

8,872subscribers

+7 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001616788541
TypeChannel
Username@MikeBlazerX
DescriptionВсе прелести SEO: — результаты экспериментов — секреты продвижения — свежие идеи — SEO-фишки — кейсы — топы без ссылок Платный PRO-канал: https://t.me/MikeBlazerX/5841 ... Автор: @MikeBlazer Рекламу не продаю!
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/MikeBlazerX

Growth

8,8658,8748,869.56 August 2026 — 8,865 subscribers6 August 2026 — 8,873 subscribers9 August 2026 — 8,874 subscribers12 August 2026 — 8,872 subscribers8,8726 August 202612 August 2026
4 measurements spanning 6 days, net +7. 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 8,864–8,875 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 10:368,872-2
9 Aug 2026, 16:028,874+1
6 Aug 2026, 19:008,873+8
6 Aug 2026, 08:178,865first reading

Engagement

35 posts held, back to 29 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 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.2%
avg views ÷ 8,872 subscribers
Avg views / post
1,260
35 posts measured
Reaction rate
0.474%
reactions ÷ views · ER floor
Posts in window
35
of 35 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 31 of 35 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held35 (29 July 202612 August 2026)
Views total44,044
Reactions total187
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 15:52 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
2,020
Videos
262
Links
5,770

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
29s
Average length
29s

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

151 reactions across 24 posts, in 11 distinct kinds. The most used accounts for 35.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁5335.1%
🤣3623.8%
2315.2%
👍149.27%
106.62%
74.64%
🌚31.99%
💯21.32%
🆒10.662%
👎10.662%
👻10.662%

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 31 of the 35 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 187reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 29 July 2026 to 12 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

12 Aug 2026, 13:05 UTC610 views5 reactionsread 12 August 2026

Схема "прокладки": как отмыть любой трафик в трастовые реферальные сигналы от самого Гугла Главная боль сейчас — не позиции, а где взять качественный трафик, которому поверит алгоритм. Один из практиков спалил многоуровневую схему. Она отмывает любой твой траф в реферальный сигнал, исходящий как бы от самого Гугла. Трюк в том, КАК именно ты заводишь аудиторию на трастовый сервис. Не в лоб, а через специфическую

3😁2

Signed Mike Blazer

12 Aug 2026, 10:15 UTC669 views7 reactionsread 12 August 2026

Взвешенный скоринг контента предсказывает вероятность топа-10 еще до публикации Прогоняй каждый черновик через восемь измеримых факторов: итоговая цифра предсказывает шансы на ранжирование достаточно точно, чтобы выступать фильтром для публикации. На выборке из 2400 текстов контент с оценкой 80+ баллов влетал в топ-10 в 82% случаев за три месяца (средняя позиция 5.3). Диапазон 60–79 баллов давал просадку до 54% (п

🤣7

Signed Mike Blazer

12 Aug 2026, 06:15 UTC833 views3 reactionsread 12 August 2026

​ChatGPT подменяет ключи и ранжирует источники по конвейерам извлечения ChatGPT почти никогда не ищет по ключу пользователя. Он переписывает вопрос в собственные запросы, кидает оператор site: на конкретные страницы и дописывает желаемый тип источника — буквально строки вроде "Emirates official" или "AhrefsBot official". Все это читается в сыром сетевом трафике ответа, а значит, оптимизировать нужно под тот запрос

🤣21

Signed Mike Blazer

11 Aug 2026, 13:05 UTC905 viewsread 12 August 2026

​Эту метрику Tech SEO-специалистам и CTO нужно проверять до Core Web Vitals. Посмотри на этот график. Я обожаю этот график, пишет Нати Элимелех. Это прекрасный график. Три месяца статистики краулинга крупного сайта моего реального клиента. Самая наглядная демонстрация того, что управляет активностью гуглобота, которую я когда-либо видел. Две линии: — Оранжевая: Среднее время ответа (мс) — Синяя: Ежедневные зап

Signed Mike Blazer

11 Aug 2026, 10:15 UTC826 views1 reactionsread 12 August 2026

​AI Overviews забирают самый структурированный кусок с консенсусом — на качество текста им плевать Снимаем мистику с GEO: AI Overview — это тот же серп, просто с текстовой надстройкой. У него тот же базовый индекс, тот же перекос в сторону авторитета и та же механика консенсуса. Алгоритм разбивает один запрос на веер подзапросов, а семплирование токенов заставляет каждую генерацию расставлять цитаты немного иначе.

👍1

Signed Mike Blazer

11 Aug 2026, 06:15 UTC881 views0 reactionsread 12 August 2026

​Бот-фильтр ГА4 — это текстовый файл на 40 КБ. Все думают, что Google тихо вычищает ботов из вашей аналитики. Так и есть — отчасти. Настройка "Exclude all hits from known bots and spiders" работает по списку известных нарушителей от IAB: текстовый файл с user-agent весом около 40 КБ, который обновляется раз в месяц. Если бот представляется — "Привет, я Googlebot" — его отбрасывают. На этом всё. Боты, о которых

Signed Mike Blazer

10 Aug 2026, 13:05 UTC981 views2 reactionsread 12 August 2026

​Оптимальный LCP лежит в окне от 100 мс до 1 сек, а не в гугловских 2.5 сек Гугловский порог "хорошо" в 2.5 секунды для Largest Contentful Paint (LCP) строится на агрегированных данных миллионов сайтов. Он описывает, что считается быстрым в вакууме — алгоритм ничего не знает о ваших пользователях, вашем продукте или вашем показателе отказов. Месяц данных real-user monitoring (RUM) от десяти крупных онлайн-ритейлер

2

Signed Mike Blazer

10 Aug 2026, 10:15 UTC899 views1 reactionsread 12 August 2026

​ИИ-краулинг и трафик расходятся — главные страницы забирают в 15 раз больше ботов, а услуги получают х3 визитов Анализ 560 695 запросов ИИ-краулеров по 74 аккаунтам Cloudflare и 446 267 реферальных переходов от ИИ на 27 аккаунтах с тарифом Pro раскрывает разрыв, который бренды оптимизируют вслепую: то, что ИИ читает, и то, куда он отправляет живых юзеров — это два разных паттерна. Cloudflare стоит до GA4, поэтому

👻1

Signed Mike Blazer

10 Aug 2026, 06:15 UTC≈1,140 views2 reactionsread 12 August 2026

​Четыре метрики вычищают мусор из индекса и срезают микро-каннибализацию Штамповка страниц не качает тематический авторитет. Каждая лишняя страница задирает стоимость извлечения для Google и плодит микро-каннибализацию. Почти идентичные документы размазывают PageRank, историю кликов, релевантность запросу и сигналы GBP по страницам, которые дерутся за один интент. Тест Query Deserves a Page (QDP) — аналог алгорит

2

Signed Mike Blazer

8 Aug 2026, 11:10 UTC≈1,370 views9 reactionsread 12 August 2026

Белые сеошники покорно ждут апдейтов, а подписчики @MikeBlazerPRO берут нечестное преимущество. Ты уверен, что твой опыт перекроет закрытую инфу с PRO? Только в PRO сливаются темы, которые рушат любые твои привычные подходы. Вот что прошло мимо тебя на этой неделе: 1. Гео-математический взлом Local Pack — как вычисление невидимой "зоны отвала" и одна точная координата заставляют алгоритм искусственно расширять ва

😁54

Signed Mike Blazer

7 Aug 2026, 13:05 UTC≈1,440 views4 reactionsread 12 August 2026
Video

Тот момент, когда ты пережил очередную рабочую неделю и осознаешь, что уже пятница #Humor @MikeBlazerX ⚠️ Закрытый канал: @MikeBlazerPRO

🤣3🆒1

Signed Mike Blazer

7 Aug 2026, 10:15 UTC≈1,230 viewsread 12 August 2026

​🚨 Фрилансеры, агентства и разработчики: это была довольно сложная новая попытка взлома, которая пришла под видом лида от клиента! 🚨 Мы получили письмо от "потенциального клиента" Омара Хашема из Nemo IT Solutions. Обычное на первый взгляд сообщение с брифом по проекту, правдоподобными деталями (сроки, бюджет и т. д.), рассказывает Марк Уильямс-Кук. Они также прислали zip-архив, содержащий стандартные с виду докум

Signed Mike Blazer

Showing the 12 most recent of 35 posts we hold for @MikeBlazerX. 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 — 277,279 of 1,478,351entries 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

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 14 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Mike Blazer” (@MikeBlazerX), 8,872 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/MikeBlazerX.

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.