18 measurements spanning 23 days, net -27. 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 12,216–12,251 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
30 Aug 2026, 13:36
12,220
-3
28 Aug 2026, 14:08
12,223
-9
27 Aug 2026, 14:19
12,232
-6
26 Aug 2026, 11:26
12,238
-2
25 Aug 2026, 10:02
12,240
+8
24 Aug 2026, 10:27
12,232
-10
21 Aug 2026, 11:04
12,242
+1
20 Aug 2026, 07:11
12,241
+2
19 Aug 2026, 10:08
12,239
-5
18 Aug 2026, 08:42
12,244
-1
17 Aug 2026, 10:04
12,245
+4
15 Aug 2026, 18:18
12,241
-1
14 Aug 2026, 05:16
12,242
+3
12 Aug 2026, 01:42
12,239
-4
10 Aug 2026, 05:31
12,243
-2
9 Aug 2026, 06:43
12,245
-2
8 Aug 2026, 06:50
12,247
no change
7 Aug 2026, 17:46
12,247
first reading
Engagement
49 posts held, back to 27 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 50 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
7.00%
avg views ÷ 12,220 subscribers
Avg views / post
856
39 posts measured
Reaction rate
0.35%
reactions ÷ views · ER floor
Posts in window
39
of 49 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 38 of 39 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 August 2026
Posts held
49 (27 July 2026 – 30 August 2026)
Views total
33,378
Reactions total
114
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Aug 2026, 23:21 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
Photos
≈33
Videos
≈2
Links
≈1,530
Lifetime counters from Telegram’s own channel header, read 30 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.
Reaction mix
148 reactions across 48 posts, in 4 distinct kinds. The most used accounts for 69.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
103
69.6%
🔥
28
18.9%
💊
11
7.43%
🤔
6
4.05%
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 48 of the 49 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 148reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 49 most recent posts we hold, published 27 July 2026 to 30 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 49 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @easy_qa_ru. 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 49 most recent posts we hold for this entry, published 27 July 2026 to 30 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.
🤔 Техника анализа классов эквивалентности — классический пример?
Классический пример: поле для ввода возраста (принимает значения от 18 до 65).
Разбивается на 3 класса:
- валидный класс (18–65);
- класс с меньшим значением (<18);
- класс с большим значением (>65).
Ставь 👍 если знал ответ, 🔥 если нет
Забирай 📚 Базу знаний
🤔 Какие знаешь статус коды?
Статусные коды HTTP представляют собой стандартизированные индикаторы, отправляемые сервером в ответ на запросы клиента, чтобы указать на результат обработки запроса. Они помогают определить, был ли запрос успешным, произошла ли ошибка и какого рода действия требуется предпринять дальше. Они разделены на пять классов:
🚩1xx: Информационные
🟠100 Continue
Промежуточный ответ, указывающий, …
🤔 Что такое респонсивная верстка?
Респонсивная верстка (Responsive Web Design, RWD) — это подход к разработке веб-страниц, при котором сайт автоматически подстраивается под разные размеры экранов и устройства (десктопы, планшеты, смартфоны).
🚩Как реализуется респонсивность?
🟠Медиа-запросы (CSS Media Queries)
Позволяют менять стили в зависимости от размера экрана.
body {
font-size: 16px;
}
@media (max-width: 768…
🤔 В чем разница между ошибкой и дефектом?
В тестировании и разработке программного обеспечения ошибка (error) и дефект (defect) – это разные понятия, хотя они связаны между собой.
🚩Ошибка (Error)
Ошибка – это неправильное действие или решение разработчика, из-за которого в коде появляется проблема.
Ошибки могут быть на разных этапах
Ошибки при написании кода (синтаксические, логические).
Ошибки в требованиях (непр…
🤔 Какие есть методы проектирования?
- Эквивалентное разбиение;
- Анализ граничных значений;
- Попарное тестирование;
- Причинно-следственные графы.
Ставь 👍 если знал ответ, 🔥 если нет
Забирай 📚 Базу знаний
🤔 Расскажи об трехуровневой клиент-серверной архитектуре( 3-Tier)?
Трёхуровневая архитектура (3-Tier) – это модель построения программных систем, в которой приложение разделено на три логических уровня:
Уровень представления (Presentation Tier) – интерфейс пользователя.
Уровень бизнес-логики (Application/Logic Tier) – обработка данных.
Уровень данных (Data Tier) – база данных.
🟠Уровень представления (Presentation T…
🤔 Какими пользовался сниферами?
Обычно используются:
- Charles — для мобильных и веб-приложений;
- Fiddler — удобен на Windows;
- Wireshark — низкоуровневый анализ сети;
- Burp Suite — в тестах безопасности и перехватах HTTPS.
Ставь 👍 если знал ответ, 🔥 если нет
Забирай 📚 Базу знаний
🤔 Какой body при 404 ответе от сервера?
Когда сервер возвращает ответ с кодом 404 (Not Found), это означает, что запрашиваемый ресурс не найден. Содержимое тела (body) ответа при этом может варьироваться в зависимости от реализации сервера и конкретного приложения, но обычно оно содержит информацию, объясняющую пользователю или клиентскому приложению причину ошибки.
HTTP/1.1 404 Not Found
Content-Type: text/html; ch…
🤔 Что делать, если джуниор попал на проект с высокоуровневым чек-листом?
- Разбить сложные пункты на подзадачи;
- Попросить наставничество или пояснения;
- Сконцентрироваться на базовых проверках;
- Учиться у команды, не бояться задавать вопросы.
Ставь 👍 если знал ответ, 🔥 если нет
Забирай 📚 Базу знаний
🤔 Для тестирования ПО где можно взять ожидаемый результат?
Ожидаемый результат в тестировании ПО – это заранее определённый правильный ответ или поведение системы при заданных входных данных. Он необходим для сравнения с фактическим результатом, чтобы определить, работает ли система корректно.
🚩Где взять ожидаемый результат?
🟠Требования к ПО
Основной источник – это функциональные и нефункциональные требования. Есл…
🤔 Расскажи про проведение проверок?
Проведение проверок — важный процесс в QA (Quality Assurance), который помогает выявить дефекты до того, как продукт попадет к пользователю. Проверки можно разделить на ручные и автоматизированные, а также на разные уровни тестирования.
🚩Виды проверок в тестировании
🟠Верификация и Валидация
Верификация (Verification) - проверяем, делаем ли мы всё правильно (соответствие требован…
🤔 Какие виды тестирования используются при валидации?
Это процесс оценки готового продукта на соответствие ожиданиям и потребностям пользователя. Цель валидации – убедиться, что продукт "делает то, что нужно", т.е. соответствует требованиям реального использования.
🚩Основные виды тестирования
🟠Функциональное тестирование
Это основной тип тестирования для проверки, выполняет ли продукт свои функции в соответствии с…
🔥1
Showing the 12 most recent of 49 posts we hold for @easy_qa_ru. 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.
Mentions
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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“Тестировщик | Вопросы собесов” (@easy_qa_ru), 12,220 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/easy_qa_ru.
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.