Telegram RegisterThe public register of Telegram

Channel

ReadyIAS Official

@ReadyIAS

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Polls · Citations · Cite this entry

2,981subscribers

+11 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002155770888
TypeChannel
Username@ReadyIAS
CreatedBetween 1 June 2024 and 30 September 2024— 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/ReadyIAS

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

8,520 average views per post against 2,981 subscribers — an engagement rate of 285.7%. Across the 8,694 registered channels in the same cohort — 1,000–3,162 subscribers, posting mainly in English — the middle half sit between 5.02% and 27.5%, with a median of 12.7%.

What this was computed from
Window30 days (13 July 2026 12 August 2026)
Posts measured16 of 17 published in the window (1 exact, 15 rounded by Telegram)
Views totalled136,279
Mature posts only300.6% over 15 posts read at least 24h after publication
Subscribers2,981 measured 12 August 2026
Cohortb1000:eng · 8,694 channels · p10 1.62% · p25 5.02% · p50 12.7% · p75 27.5% · p90 51.4%
Position in cohort99.609th percentile · 22.5× the cohort median
Uncertainty±0.106% of the figure, from Telegram’s rounding
Post languageEnglish · 100.0%of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

2,9702,9812,975.56 August 2026 — 2,970 subscribers6 August 2026 — 2,972 subscribers9 August 2026 — 2,975 subscribers12 August 2026 — 2,981 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +11. 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 2,968–2,983 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 04:262,981+6
9 Aug 2026, 10:522,975+3
6 Aug 2026, 17:102,972+2
6 Aug 2026, 14:482,970first reading

Engagement

17 posts held, back to 19 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
285.7%
avg views ÷ 2,981 subscribers
Avg views / post
8,520
16 posts measured
Reaction rate
0.047%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 14 of 16 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 7 August 2026
Posts held17 (19 July 20267 August 2026)
Views total136,279
Reactions total61
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:14 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

61 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 65.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4065.6%
👍711.5%
🙏711.5%
👌23.28%
11.64%
👏11.64%
🔥11.64%
🕊11.64%
🤩11.64%

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 14 of the 17 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 61reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 19 July 2026 to 7 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

7 Aug 2026, 15:01 UTC≈1,880 views3 reactionsread 8 August 2026
Photo

⚠️ The Biggest UPSC Mains Answer Writing Trap Every year, thousands of aspirants make the same mistake... ⛔️ Read more books. ⛔️ Write more answers. ⛔️ Get the same feedback. ⛔️ Repeat. The problem isn't your hard work➡️it's your process. Most aspirants start writing answers without learning how UPSC actually expects them to be written. ⏺More practice with the wrong approach rarely leads to better marks. That's wh

2🤩1

5 Aug 2026, 02:14 UTC≈6,560 views4 reactionsread 8 August 2026

https://youtu.be/X-1Y8vswGRE?si=_qTh_S3zQVfjiQ8E

👍3🕊1

4 Aug 2026, 05:52 UTC≈9,420 views4 reactionsread 8 August 2026
File

🔥UPSC CSE MAINS 2026 | 150 MOST PROBABLE QUESTIONS (GS-I to GS-IV) The countdown to UPSC CSE Mains 2026⏱ has begun. Focus on high-probability questions, not random topics. We're sharing the READYIAS Most Probable Questions 2026 absolutely FREE.🎁 📦 What's inside the PDF? ✅ GS-I, GS-II, GS-III & GS-IV Coverage ✅ Tier A/B/C Priority ✅ Why Each Question is Probable ✅ Exact Question Demand ✅ Answer Dimensions ✅ Mains-Or

2🙏2

3 Aug 2026, 17:33 UTC≈5,270 views3 reactionsread 8 August 2026
Photo

🚀THE ANSWER WRITING BUNDLE🔥 The Most Comprehensive UPSC Mains Answer Writing Ecosystem Ever Created. UPSC Mains is not just about knowledge. It is about presenting that knowledge in a structured, examiner-friendly, and high-scoring manner. To help aspirants master this skill, we have combined every essential resource into one powerful ecosystem. 🔥 What's Inside? ✅ 400+ Answer Writing Templates ✅ Topic-wise Framew

21

2 Aug 2026, 02:20 UTC≈12,800 views4 reactionsread 8 August 2026

Hello Aspirants, This is the right time to start answer writing especially if: ✅ You have completed your foundation ✅ Or even if 30–50% of your foundation is done But remember ➡️don’t jump into random answer writing. First, you need to: ✅ Understand the basic structure of answers ✅ Learn the right frameworks that match UPSC demand ✅ Develop the skill to present answers the way the commission expects And most impor

4

31 Jul 2026, 06:27 UTC≈17,900 views10 reactionsread 8 August 2026
Photo

🎁 FREE Answer Writing Resource Pack for Every UPSC Aspirant!🔥 Quality resources shouldn't be a barrier to improving your answer writing. That's why we've put together a completely FREE Answer Writing Resource Pack to help you strengthen your Mains preparation. 📦 What's inside? ✔️ Answer Writing Essentials ✔️ Answer Writing Toolkit ✔️ GS4 Framework ✔️ GS4 Template Sheet (based on the framework) ✔️ GS1–GS4 Question B

9🙏1

30 Jul 2026, 05:01 UTC≈6,200 viewsread 8 August 2026
File

Topper Copy Analysis 🌎 Ishtitva Anand(AIR 50 ) VS Zinnia Aurora (AIR 6) ▶️Full video Link - https://youtu.be/pP0CDXqpOlk?si=zo78dEjKcrahT_Ps How do top rankers write answers that score high? See the structure, value addition, and presentation that make the difference. ⚡Answer Writing Foundation Course⚡➡️ Designed to build your structure, clarity, analysis & presentation from scratch. ⭐️ One-Stop Solution for UPS

29 Jul 2026, 02:59 UTC≈5,560 views4 reactionsread 8 August 2026

🎯New to ReadyIAS? You can start with Phase 1 (Answer Writing Foundation Course)for Mains 27 right now and build a strong foundation before joining the Live Program Phase 2. 📢Answer Writing Program | Phase 1 & Phase 2 Our Answer Writing Program is designed in 2 practical phases to make you Mains Ready for UPSC CSE 2027. Phase 1 – Answer Writing Foundation Course ℹ️Full Details - https://t.me/ReadyIAS/1623 ✅ Learn

3🙏1

27 Jul 2026, 06:33 UTC779 viewsread 8 August 2026
Poll

Your feedback matters. We're building this program for you. 🔥

  1. Live Answer Writing Classes29%
  2. Personal Mentorship8%
  3. Detailed Copy Evaluation13%
  4. Live Enrichment Sessions1%
  5. Frameworks & Templates4%
  6. Structured Practice & Note-Making4%
  7. Everything Together (All of the Above)41%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

25 Jul 2026, 11:24 UTC≈8,450 views4 reactionsread 8 August 2026

Hello 2027 Aspirants, If you've covered even 30–40% of your foundation or completed it entirely➡️this is the right time to start Answer Writing. But don't start writing answers blindly. ⛔️This is where most aspirants lose months of preparation by developing the wrong approach. Before writing a single answer, you must understand: ✅The right UPSC answer structure ✅Practical frameworks for every GS subject ✅How to con

2👍2

23 Jul 2026, 07:04 UTC≈9,090 views3 reactionsread 8 August 2026
Photo

🚨 The Strongest Part of the MAINS READY KIT 2026 🎯 150 Most Probable Questions with Model Answers & Diagrams Every UPSC aspirant has one question before Mains: "What should I revise in the final weeks?" This is exactly why we built this section. For weeks, we analysed: ✅ The changing UPSC Mains pattern ✅ The last 3 years' paper trends ✅ Current affairs with static integration ✅ Themes that are most relevant for 2026

2👏1

Showing the 12 most recent of 17 posts we hold for @ReadyIAS. 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.

Posts edited after publishing

@ReadyIAS 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
8 August 2026
Most recent edit
8 August 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

27 Jul 2026, 06:33 UTCAnonymous Poll78 voters

Your feedback matters. We're building this program for you. 🔥

  1. Live Answer Writing Classes29%
  2. Personal Mentorship8%
  3. Detailed Copy Evaluation13%
  4. Live Enrichment Sessions1%
  5. Frameworks & Templates4%
  6. Structured Practice & Note-Making4%
  7. Everything Together (All of the Above)41%

Shares as published. 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 17 most recent posts we hold, published 19 July 2026 to 7 August 2026. 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 — 49,274 of 1,151,006entries 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 5 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.

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.

“ReadyIAS Official” (@ReadyIAS), 2,981 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ReadyIAS.

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.