All the Best for Tomorrow’s FR Paper ♥️🫶🏻 You’re gonna rock this one! Tum Sab Kar Loge ♥️💯
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Channel
@yashkhandelwaldt
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Telegram's recommendations · Cite this entry
46,477subscribers
+1,624 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001272935848 |
|---|---|
| Type | Channel |
| Username | @yashkhandelwaldt |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 November 2026 |
| Measurements held | 54 |
| Confirmed unchanged | 1 time, most recently 2 November 2026 |
| On Telegram | t.me/yashkhandelwaldt |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Nov 2026, 12:21 | 46,477 | +22 |
| 1 Nov 2026, 13:48 | 46,455 | +14 |
| 31 Oct 2026, 10:45 | 46,441 | -4 |
| 30 Oct 2026, 13:04 | 46,445 | +12 |
| 29 Oct 2026, 12:56 | 46,433 | +34 |
| 28 Oct 2026, 10:00 | 46,399 | +3 |
| 27 Oct 2026, 11:50 | 46,396 | +15 |
| 26 Oct 2026, 13:11 | 46,381 | +24 |
| 25 Oct 2026, 12:00 | 46,357 | +11 |
| 24 Oct 2026, 14:55 | 46,346 | +8 |
| 23 Oct 2026, 11:26 | 46,338 | +14 |
| 22 Oct 2026, 08:11 | 46,324 | +25 |
| 20 Oct 2026, 22:11 | 46,299 | +28 |
| 19 Oct 2026, 18:27 | 46,271 | +42 |
| 18 Oct 2026, 21:36 | 46,229 | +43 |
| 17 Oct 2026, 19:38 | 46,186 | +145 |
| 16 Oct 2026, 20:36 | 46,041 | +47 |
| 15 Oct 2026, 21:39 | 45,994 | +9 |
| 15 Oct 2026, 00:26 | 45,985 | +59 |
| 13 Oct 2026, 21:55 | 45,926 | first reading |
131 posts held, back to 14 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 176 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 1 November 2026 |
|---|---|
| Posts held | 131 (14 July 2026 – 1 November 2026) |
| Views total | 489,090 |
| Reactions total | 2,772 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Nov 2026, 07:13 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.
Measured directly from 1 video 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.
5,119 reactions across 127 posts, in 19 distinct kinds. The most used accounts for 77.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3,943 | 77.0% | |
| 👍 | 445 | 8.69% | |
| 🙏 | 179 | 3.50% | |
| 🔥 | 149 | 2.91% | |
| 🎉 | 83 | 1.62% | |
| 🤩 | 51 | 0.996% | |
| 😍 | 50 | 0.977% | |
| 💯 | 49 | 0.957% | |
| 🤯 | 46 | 0.899% | |
| 👏 | 43 | 0.84% | |
| 😱 | 31 | 0.606% | |
| 🥰 | 11 | 0.215% | |
| ❤🔥 | 10 | 0.195% | |
| 😇 | 9 | 0.176% | |
| 🫡 | 9 | 0.176% | |
| 🍾 | 4 | 0.078% | |
| 🏆 | 4 | 0.078% | |
| 🤗 | 2 | 0.039% | |
| 👌 | 1 | 0.02% |
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 131 of the 131 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 5,119 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 131 most recent posts we hold, published 14 July 2026 to 1 November 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.
All the Best for Tomorrow’s FR Paper ♥️🫶🏻 You’re gonna rock this one! Tum Sab Kar Loge ♥️💯
❤268🔥10👍5😇4🙏3🤗1
Guys! CA-Final DT ka Last 6 attempts ke Papers Pattern analysis ka aaj ek video bana raha hu. 2nd group students to aaj hi dekh lenge, Both Groups students pakka dekh lena audit ke bad!! Also for MCQs, I have analysed 17-18 papers (including MTPs, RTPs) - to understand which chapters can be asked in MCQs. Stay Tuned!!
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Case Laws Smart Notes(Nov 26) - Yash Khandelwal Just Go through these Notes once, I have made very very easy & smart notes for Case Laws! You’ll really like it! Video(20 mins) : https://youtu.be/ID0qAXoLg6Q?si=r4PegJz_S2UP-xH2
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Bhot mast Video Banaya hai Case Law ka, dekh lena jab bhi time mile. Samjh jayenge case laws and naam bhi yaad ho jayenge Learn DT Case Laws Nov 26 in Just 20 mins| CA-Final DT Judicial Pronouncements Nov 26 https://youtu.be/ID0qAXoLg6Q?si=r4PegJz_S2UP-xH2
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Nov 26 ke case laws samjha du aaj and sath me naam yaad karwa du 15-20 mins me? May 26 case laws include nahi karunga is video me. Uska video already hai: https://youtu.be/DpS1AZvIj5c?si=WQ38lXE4lxxPq8MF
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As this is the Last Attempt of Income Tax Act 1961, I thought of doing something extra for my students! So I am Taking 2 Last day Marathons this Time. 1. International Tax Most Probable Topics Marathon (4th Nov, 6:00 PM) (5 Hrs)- https://www.youtube.com/live/C0_AAz3tnno?si=91lxqiqWiOyUPN7s 2. DT Most Probable Topics Marathon (6th Nov, 7:00 PM) : https://www.youtube.com/live/ac5QZgogolQ?si=vto9VVOThRE_pvRC Let’s g…
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DT - 4/5 Days Comprehensive Planner, Time Allocation for Group 2 Students - CA Yash Khandelwal Video Link : https://youtu.be/hx82QZeKmCA Share with all your Group 2 Friends 🔥 Join Telegram Channel : Click Here Same PDF 2.5 Days ke liye bana ke share kar dunga
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Must must watch for every CA-Final Group 2 Students Last 10 Days & 5 Days DT Study Plan for CA-Final Group 2 Students| Ye Miss Mat Karna There’s also a surprise for you in the video https://youtu.be/hx82QZeKmCA
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Khazana Notes Nov 26 - Peak Detailing by CA Yash Khandelwal Increase 25-30 Marks with Khazana Notes ❤️ Contents : 1. PGBP Adjustments 2. Direct Tax Rate 3. NR Tax Rates 4. TDS and TCS Rates 5. Penalties 6. Important Dates 7. Important Time Limits 8. Chapter-wise Tricky Points 9. MCQ & Case Scenario Tricky Points 10.Important Monetary Limits Khazana Revision Playlist: https://youtube.com/playlist?list=PLHEjFWOmFPn2…
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Today I am releasing a Last 10 days planner for Group 2 Students! Last 10 days kaise plan karne hai, DT ko kitna Time Dena hai, sab kuch bataunga usme main! Also, I again Have a Surprise for you all in that Video! ♥️🥳 Stay Tuned! Releasing Video at 8:00 PM today!
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Video : https://youtu.be/5_Q7SDp4DiU
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CA-Final DT Last 2.5 Days Plan & Priority Topics|Score 60+| Yash Khandelwal https://youtu.be/5_Q7SDp4DiU
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Showing the 12 most recent of 131 posts we hold for @yashkhandelwaldt. 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.
@yashkhandelwaldt edited 5 posts 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 27 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 25 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 2 November 2026 — this entry's latest reading, not the date you are reading this.
“CA Yash Khandelwal-Direct Tax” (@yashkhandelwaldt), 46,477 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/yashkhandelwaldt.
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.