Channel
@cawithchirag
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
7,419subscribers
+2,312 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001530068202 |
|---|---|
| Type | Channel |
| Username | @cawithchirag |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/cawithchirag |
Education — 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 12 September 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 20:56 | 7,419 | -24 |
| 12 Sept 2026, 17:16 | 7,443 | +135 |
| 8 Sept 2026, 19:19 | 7,308 | +360 |
| 3 Sept 2026, 11:01 | 6,948 | +377 |
| 31 Aug 2026, 08:43 | 6,571 | +512 |
| 28 Aug 2026, 19:28 | 6,059 | +433 |
| 25 Aug 2026, 09:32 | 5,626 | +244 |
| 22 Aug 2026, 09:19 | 5,382 | +220 |
| 19 Aug 2026, 01:52 | 5,162 | +53 |
| 15 Aug 2026, 18:14 | 5,109 | +2 |
| 14 Aug 2026, 13:30 | 5,107 | first reading |
17 posts held, back to 5 August 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 1 page of 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 17 posts for this entry, the most recent from 14 August 2026. An engagement rate over an empty window would be a number about nothing.
83 reactions across 12 posts, in 9 distinct kinds. The most used accounts for 67.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 56 | 67.5% | |
| 👍 | 11 | 13.3% | |
| 👏 | 9 | 10.8% | |
| 😁 | 2 | 2.41% | |
| 😱 | 1 | 1.20% | |
| 🙉 | 1 | 1.20% | |
| 🙏 | 1 | 1.20% | |
| 🤝 | 1 | 1.20% | |
| 🥰 | 1 | 1.20% |
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 83 reactions 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 5 August 2026 to 14 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.
Stop restarting chapters from scratch after a gap. That wastes time. You don’t need full re-study. Do quick recall + targeted revision. Trust partial memory and rebuild from there. Hare Krishna 😌
👍4
Tumhe Audit nahi aata ? Ya.... Tumhe Audit likhna nahi aata? Is student ko ICAI ne *99 marks* diye hain out of 100 Sabhi secrets reveal kar diye aaj 😎 (ICAI ki Marking scheme se compare karke dikhaya hai) https://youtu.be/3LVUHNB48U4 Certified copy ka brutally honest analysis kiya hai. ✅ Har page dekho. ✅ Har mark dekho. ✅ Phir apne answers dekho. Difference khud-b-khud samajh aajaayega 💫 Toh marks bhi aa ja…
You are treating every question as new. That slows you down. Most Audit questions fall into limited patterns. Train yourself to label the type instantly. Pattern clarity reduces thinking time. Hare Krishna 🌷
❤4👍2
You think syllabus is still “left”. But a lot of it is already familiar. You don’t need first-time study again. You need structured revision. Shift from learning mode to strengthening mode. That’s where marks improve. Hare Krishna ☺️
❤10😱1
Past 3 Attempt RTPs
File, posted without a caption
For those who have Revised Audit once, I would recommend you to Write these MTPs once, so that you can get a good understanding or the Paper pattern and your preparation level :)
You feel tired after long study hours. But ask—what did you produce? No answers written = no real output. Effort without visible output feels exhausting. Track what you produce, not just time spent. Hare Krishna 🌸
❤3🙉1
You think confidence comes after multiple revisions. But it actually comes after successful recall. Even 2–3 correct recalls build belief. Test small portions frequently. Confidence grows in layers, not at the end. Hare Krishna 🦚
👏4👍2❤1
Ahha 🌻❤️
❤4😁2🥰1🙏1
You are spending time making notes look perfect. That’s low-return effort. Presentation of notes does not give marks. Recall and application does. Invest time where marks come from. Hare Krishna 🙏
❤7🤝1
You are planning your day in the morning. That’s already late. Clarity should exist before the day starts. Decide next day’s tasks the night before. Morning should be execution, not thinking. Hare Krishna 🌸
❤8
Showing the 12 most recent of 17 posts we hold for @cawithchirag. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“CA inter Audit with CA Chirag Garg” (@cawithchirag), 7,419 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/cawithchirag.
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.