4 measurements spanning 15 days, net -4. 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 120–126 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
23 Aug 2026, 21:05
121
-3
16 Aug 2026, 14:15
124
-1
9 Aug 2026, 02:46
125
no change
8 Aug 2026, 14:15
125
first reading
Engagement
20 posts held, back to 6 August 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 28 August 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
10 reactions across 9 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
10
100.0%
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 10 of the 20 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 6 August 2024 to 28 August 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Your team is debating the balance between automated and manual testing. What logical considerations should guide the decision on when to use automation versus manual testing
Automate all testing to eliminate the need for manual testing15%
Rely solely on manual testing for accurate results9%
Automate repetitive scenarios, reserving manual testing for exploratory testing74%
Ignore the need for a balance & choose either automation or manual testing2%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
You are a QA manager overseeing multiple
projects in a DevOps organization. One of your teams wants to adopt Behavior-Driven
Development (BDD) for their testing approach.BWhat is a primary advantage of using BDD in the testing process? By @qa_evaluation
BDD simplifies test automation and reduces theneed for manual testing17%
BDD encourages collaboration between developers, testers, and non-technical team66%
BDD eliminates the need for test case Documentation17%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
You are writing a Postman test script to validate an API response. Which assertion method should you use to check if a specific value exists in the response body? #postman
pm.test("Response Body Contains", function() {.... })35%
Priority and Severity
Here are 20 questions to test your knowledge on priority and severity in software testing:
1.What is the main difference between priority and severity in software testing?
2.Who typically determines the severity of a defect?
3.Who typically determines the priority of a defect?
4.What does a high severity defect indicate?
5.What does a high priority defect indicate?
6.Give an example of a defect…
Overview of the differences between priority and severity in software testing:
Priority vs. Severity
Severity:
Definition: Indicates the impact of a defect on the functionality of the software.
Categories: Critical, Major, Medium, Low.
Determined by: QA engineers.
Purpose: Reflects the seriousness of the defect on the product’s functionality.
Priority:
Definition: Indicates the order in which a defect should be fi…
SDLC (Software Development Life Cycle) Quality Analyst:
*Quiz: SDLC Quality Analyst*
*Section 1: Fundamentals*
1. What is the primary goal of the SDLC process?
a) To deliver software quickly
b) To ensure software quality
c) To reduce development costs
d) To increase customer satisfaction
Answer: b) To ensure software quality
1. Which SDLC phase involves testing and validation?
a) Requirements gathering
b) Design…
Your team is responsible for automated testing in a CI/CD pipeline. During a code deployment, a critical bug is discovered in the production environment. What should you prioritize as your immediate action?
Roll back the deployment to the previous version36%
Investigate the bug's root cause and impact on users47%
Resign from the team and look for brighter options9%
Continue with the deployment and address thebug later8%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Git basics:
1. git init -> The git init command creates a new Git repository, which can be used to start a new project with Git.
2. git remote add origin -> The git remote add origin command is used to add a remote repository to your local Git repository.
3. git add. -> The git add command adds a change in the working directory to the staging area.
4. git commit -m 'message' -> The git commit command is what you'll …
8 Types of API Tests every SDET should know!
1) Smoke Tests: Validating bare minimum crucial AP
calls are working for application.
Tools: Postman, Swagger, Manual Tests
2) Functional Tests: Validating each API for its prominent
functionality. Like Post requests for data creation and
validating in Database whether data sent is created in
right table, structure etc.
Tools: RestAssured, Locust, Gatling, Requests, Postm…
Showing the 12 most recent of 20 posts we hold for @qa_evaluation. 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.
Polls
The 6 most recent of 10 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Your team is debating the balance between automated and manual testing. What logical considerations should guide the decision on when to use automation versus manual testing
Automate all testing to eliminate the need for manual testing15%
Rely solely on manual testing for accurate results9%
Automate repetitive scenarios, reserving manual testing for exploratory testing74%
Ignore the need for a balance & choose either automation or manual testing2%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
You are a QA manager overseeing multiple
projects in a DevOps organization. One of your teams wants to adopt Behavior-Driven
Development (BDD) for their testing approach.BWhat is a primary advantage of using BDD in the testing process? By @qa_evaluation
BDD simplifies test automation and reduces theneed for manual testing17%
BDD encourages collaboration between developers, testers, and non-technical team66%
BDD eliminates the need for test case Documentation17%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
You are writing a Postman test script to validate an API response. Which assertion method should you use to check if a specific value exists in the response body? #postman
pm.test("Response Body Contains", function() {.... })35%
Your team is responsible for automated testing in a CI/CD pipeline. During a code deployment, a critical bug is discovered in the production environment. What should you prioritize as your immediate action?
Roll back the deployment to the previous version36%
Investigate the bug's root cause and impact on users47%
Resign from the team and look for brighter options9%
Continue with the deployment and address thebug later8%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which of the following tool does NOT support #Web #Automation?
Selenium5%
Postman48%
Katalon studio15%
Tosca11%
Playwright3%
Cypress11%
WebdriverlO8%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 6 August 2024 to 28 August 2024. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 599,302 of 1,627,445entries 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.
Mentions
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@qa_evaluation named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@qa_adda named in 1 post, 10 August 2026 – 10 August 2026
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 23 August 2026 — this
entry's latest reading, not the date you are reading this.
“QA Quiz” (@qa_evaluation), 121 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/qa_evaluation.
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.