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Telegram profile photo for Mike Blazer

Channel

Mike Blazer

@MikeBlazerX

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,917subscribers

+52 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
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 live17 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/MikeBlazerX

Topic

Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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 why it has no browse page of its own yet.

Growth

8,8658,9178,8916 August 2026 — 8,865 subscribers6 August 2026 — 8,873 subscribers9 August 2026 — 8,874 subscribers12 August 2026 — 8,872 subscribers16 August 2026 — 8,879 subscribers19 August 2026 — 8,887 subscribers25 August 2026 — 8,895 subscribers28 August 2026 — 8,914 subscribers31 August 2026 — 8,898 subscribers4 September 2026 — 8,908 subscribers9 September 2026 — 8,906 subscribers13 September 2026 — 8,902 subscribers17 September 2026 — 8,917 subscribers6 August 202617 September 2026
13 measurements spanning 42 days, net +52. 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 8,857–8,925 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 10:008,917+15
13 Sept 2026, 16:398,902-4
9 Sept 2026, 14:598,906-2
4 Sept 2026, 03:598,908+10
31 Aug 2026, 12:048,898-16
28 Aug 2026, 06:448,914+19
25 Aug 2026, 16:438,895+8
19 Aug 2026, 00:368,887+8
16 Aug 2026, 01:488,879+7
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

74 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 31 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.5%
avg views ÷ 8,917 subscribers
Avg views / post
1,030
15 posts measured
Reaction rate
0.275%
reactions ÷ views · ER floor
Posts in window
15
of 74 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 10 of 15 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 28 August 2026
Posts held74 (29 July 202628 August 2026)
Views total15,398
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 15:57 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
1m 16s
Average length
25s

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

338 reactions across 54 posts, in 21 distinct kinds. The most used accounts for 32.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁11132.8%
6619.5%
🤣5315.7%
👍5115.1%
195.62%
72.07%
👎51.48%
🔥51.48%
🌚30.888%
💯30.888%
🕊30.888%
🤬30.888%
🆒10.296%
🏆10.296%
👌10.296%
👨‍💻10.296%
👻10.296%
💘10.296%
😢10.296%
🦄10.296%
1 further kind10.296%

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 63 of the 74 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 374 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 74 most recent posts we hold, published 29 July 2026 to 28 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

28 Aug 2026, 13:05 UTC725 views8 reactionsread 28 August 2026
Video

Как GEO-эксперты объясняют сеошникам, что такое GEO #Humor @MikeBlazerX ⚠️ Закрытый канал: @MikeBlazerPRO

😁7👍1

Signed Mike Blazer

28 Aug 2026, 10:15 UTC885 viewsread 28 August 2026

​Твой текст — это вода или суть? Инструмент Article Substance Classifier создан для оценки контента. Он отделяет плоские, водянистые, безликие статьи из блог-сеток от реальных журналистских и авторских материалов, написанных со смыслом. При этом он может ошибочно помечать как воду сухие фактические страницы — например, описания товаров и услуг. http://dejan.ai/tools/fluff #ContentSEO #Tools #ThinContent @MikeBl

Signed Mike Blazer

28 Aug 2026, 06:15 UTC928 views1 reactionsread 28 August 2026

Утечка Content Warehouse API доказывает: 10-секундный dwell time вешает фильтры на страницы конвертеров Слитое API Гугла содержит модуль RankLab, который присваивает каждому урлу алгоритмический base rank вместе с экспериментальным test rank, вскрывает Корай Тугберк Гюбюр. Система корректирует позиции в живом серпе через NavBoost — гибридный фактор скоринга, который агрегирует кликовый фидбек юзеров, PageRank и тем

1

Signed Mike Blazer

27 Aug 2026, 13:05 UTC≈1,030 viewsread 28 August 2026

ИИ-страницы без индекса сжирают краулинговый бюджет — снос мусорных URL возвращает сайту эффективность Чтобы восстановить краулинговый бюджет, сноси низкокачественные ИИ-страницы, которые зависли без индексации, советует Крис Раульф. Гуглобот оценивает домен как единую библиотеку; высокая доля мусорных URL режет приоритет краулинга для всего сайта. Чтобы выцепить этот балласт, отфильтруй отчет по индексации в GSC

Signed Mike Blazer

27 Aug 2026, 10:15 UTC839 views3 reactionsread 28 August 2026

​Скрипт "Scrape To Markdown" позволяет заюзать Screaming Frog, чтобы перевести весь контент сайта в markdown: На днях я наткнулся в сети на очень классный скрипт, отмечает Крис Лонг. Евгений Орлов написал для Screaming Frog скрипт, который автоматически переводит весь ваш контент в markdown за один раз. Вместо того чтобы парсить постранично, вы можете запустить скрипт внутри интерфейса SF и получить массовую выгру

👍21

Signed Mike Blazer

27 Aug 2026, 06:15 UTC896 viewsread 28 August 2026

​15-минутный промпт вскрывает каждый тезис, который ломается при нарезке страницы ретриверами Страница, которая сидит в топе Google, но никогда не всплывает в AI Overviews или чат-ботах, обычно имеет проблемы с чанкингом, а не с самим контентом. AI-поиск редко читает страницу целиком — он извлекает пассажи из 5-50 разных страниц, поэтому контент дробится на блоки примерно по 300 токенов, и модель забирает только те

Signed Mike Blazer

26 Aug 2026, 13:05 UTC≈1,140 views0 reactionsread 28 August 2026

Логи высокочастотного парсинга доказывают: Гугл ротирует позиции поиска 20-минутными окнами для клик-тестов Скачки позиций после апдейтов сайта отрабатывают как временные клик-тесты, а не постоянная прописка в индексе, фиксирует Корай Тугберк Гюбюр. Алгоритм распределяет тестовые страницы по выделенным слотам диверсификации серпа на короткие окна видимости. Сначала система выводит целевой урл ровно на 20 минут в д

Signed Mike Blazer

26 Aug 2026, 10:15 UTC995 viewsread 28 August 2026

​Брошенные профили Trustpilot настраивают ChatGPT против сайта — письмо CEO удаляет фейки за 3 дня Фейкового профиля на Trustpilot, который компания никогда не создавала, с отзывами о совершенно другом домене хватило, чтобы ChatGPT начал отговаривать юзеров от сайта из-за смешанных оценок. Всё решили два фейковых отзыва: жалоба на 1 звезду за агрессивный апселл и 5-звездочный отзыв, накрученный для баланса. Многие

Signed Mike Blazer

26 Aug 2026, 06:15 UTC≈1,020 views1 reactionsread 28 August 2026

​Content Prioritization Matrix: форматы контента, которые выживут в эпоху AI-поиска Крутой SEO-ресурс: Content Prioritization Matrix показывает, какой контент реально имеет смысл создавать в эпоху ИИ-поиска, делится Крис Лонг. Это масштабный гайд от Алейды Солис. Она выкатила глубокий фреймворк и таблицу с типами контента, на которых SEO-специалистам стоит сфокусироваться в условиях zero-click выдачи. Учитывая на

1

Signed Mike Blazer

25 Aug 2026, 13:05 UTC≈1,240 views5 reactionsread 28 August 2026

​Если Google сам выбирает один /lang/ как каноникал, а остальные игнорирует (в GSC они висят как не в индексе), то как он может показывать пользователю в выдаче другие языковые версии той же страницы? В документации это не описано... пожалуйста, объясните, пишет Файез Джаваид. Гэри Илш: Здесь работают две вещи: 1. Альтернативные имена: когда мы каноникализируем URL, остальные урлы из его кластера дублей (откуда о

🤣5

Signed Mike Blazer

25 Aug 2026, 10:15 UTC≈1,250 views3 reactionsread 28 August 2026

Интеграция соцсетей в Search Console переливает ссылочный вес паразитных URL на бренд Панель About This Result доказывает, что алгоритм снимает доменную принадлежность с паразитных урлов и перепривязывает страницы напрямую к личной сущности автора, отмечает Корай Тугберк Гюбюр. Если загуглить целевое имя вместе с урлом linkedin.com или reddit.com и открыть меню сниппета через три точки, в блоке паблишера высветится

🤣21

Signed Mike Blazer

25 Aug 2026, 06:15 UTC≈1,050 views4 reactionsread 28 August 2026

​Упоминания без связи не работают: 30 одинаковых источников формируют факт для Графа Знаний Всё на собственном домене — это лишь заявление (claim). Микроразметка, страница "О нас", идеально сформированный триплет subject → predicate → object — это утверждение, а не доказательство. Самодекларирование никогда не попадает в Граф Знаний. Достоверность факта оценивается по тому, сколько независимых источников утвержда

4

Signed Mike Blazer

Showing the 12 most recent of 74 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.

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.

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.

R2B.News
@reg2bet · 25,043
Telegram ranks this channel #36 of 75 here — alongside 74 others — read 15 September 2026
SEO HR, digital-вакансии, офис и удалёнка
@seohr · 24,935
Telegram ranks this channel #40 of 92 here — alongside 91 others — read 15 September 2026
Google Таблицы
@google_sheets · 60,505
Telegram ranks this channel #46 of 98 here — alongside 97 others — read 22 August 2026
Owner 1win
@owner1w · 24,594
Telegram ranks this channel #52 of 73 here — alongside 72 others — read 15 September 2026
Артем Бородатюк
@artemborodatiuk · 26,272
Telegram ranks this channel #55 of 73 here — alongside 72 others — read 14 September 2026
Partnerkin | Арбитраж трафика
@thepartnerkin · 32,256
Telegram ranks this channel #66 of 66 here — alongside 65 others — read 6 September 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total, of which the 6 where it ranks highest are shown above. 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Mike Blazer” (@MikeBlazerX), 8,917 subscribers as measured 17 September 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.