๐ฒ Quiz 'REASONING QUIZ [ เคฐเคเฅเคค เคธเคเคฌเคเคง Blood Relations ]๐ฅ[ SSC GD +UPSI ] ๐ข๐'' Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 18 questions ยท โฑ 45 sec
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Channel
@keshavsinhganiya
On this record: Topic ยท Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Posts ยท Citations ยท Telegram's recommendations ยท Cite this entry
20,436subscribers
-1,189 since we began measuring on 7 August 2026
Risers and fallers across the register ยท movement among entries of 10,000โ31,623.
| Telegram ID | -1001549618935 |
|---|---|
| Type | Channel |
| Username | @keshavsinhganiya |
| Description | ๐๐ IMPORTANT UPSC.. BPSC... CTET...SSC...ALL SUBJECT QUIZ AND POLL QUESTION ๐๐ OWNER @Keshavsinghaniya |
| Created | Between 1 August 2021 and 28 February 2023 โ estimated from Telegramโs id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/keshavsinhganiya |
Education โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelโs own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a modelโs 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 โ 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 |
|---|---|---|
| 7 Nov 2026, 09:58 | 20,436 | -18 |
| 6 Nov 2026, 09:25 | 20,454 | -13 |
| 5 Nov 2026, 10:36 | 20,467 | -8 |
| 4 Nov 2026, 10:08 | 20,475 | -14 |
| 3 Nov 2026, 08:16 | 20,489 | -13 |
| 2 Nov 2026, 06:56 | 20,502 | -3 |
| 1 Nov 2026, 05:37 | 20,505 | -11 |
| 31 Oct 2026, 05:07 | 20,516 | -9 |
| 30 Oct 2026, 04:47 | 20,525 | -18 |
| 29 Oct 2026, 02:30 | 20,543 | -25 |
| 27 Oct 2026, 23:45 | 20,568 | -20 |
| 27 Oct 2026, 02:16 | 20,588 | -14 |
| 26 Oct 2026, 01:17 | 20,602 | +5 |
| 25 Oct 2026, 03:59 | 20,597 | -9 |
| 24 Oct 2026, 04:18 | 20,606 | -12 |
| 23 Oct 2026, 02:21 | 20,618 | -1 |
| 22 Oct 2026, 00:10 | 20,619 | -7 |
| 20 Oct 2026, 21:58 | 20,626 | -4 |
| 19 Oct 2026, 21:31 | 20,630 | -6 |
| 18 Oct 2026, 20:18 | 20,636 | first reading |
171 posts held, back to 29 July 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 69 pages of Telegramโs 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) รท views โ note the denominator is views, not subscribers. Telegramโs 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 ยท latest post in window 8 November 2026 |
|---|---|
| Posts held | 171 (29 July 2026 โ 8 November 2026) |
| Views total | 14,311 |
| Reactions total | 230 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 8 Nov 2026, 03:15 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegramโs own channel header, read 8 November 2026 โ not the date at the top of this page, which is when the subscriber count was last read. A count marked โ was rounded by Telegram before we ever saw it โ t.me prints these counters in full below 1,000 and to three significant figures above, so โ142,000 means somewhere between 141,500 and 142,499.
1,044 reactions across 171 posts, in 24 distinct kinds. The most used accounts for 15.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| โค | 160 | 15.3% | |
| ๐ | 127 | 12.2% | |
| ๐ | 125 | 12.0% | |
| ๐ฅฐ | 116 | 11.1% | |
| ๐ | 113 | 10.8% | |
| ๐ฅ | 53 | 5.08% | |
| ๐ | 52 | 4.98% | |
| ๐ | 50 | 4.79% | |
| ๐ | 35 | 3.35% | |
| ๐ | 35 | 3.35% | |
| โก | 29 | 2.78% | |
| ๐ณ | 23 | 2.20% | |
| ๐ฏ | 19 | 1.82% | |
| ๐คฉ | 19 | 1.82% | |
| ๐ | 18 | 1.72% | |
| โคโ๐ฅ | 14 | 1.34% | |
| ๐ | 13 | 1.25% | |
| ๐ค | 10 | 0.958% | |
| ๐ | 9 | 0.862% | |
| ๐ | 9 | 0.862% | |
| 4 further kinds | 15 | 1.44% |
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 171 of the 171 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 1,044 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 171 most recent posts we hold, published 29 July 2026 to 8 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.
Telegramโs own โeditedโ marker: 0 of 38 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before โ this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
๐ฒ Quiz 'REASONING QUIZ [ เคฐเคเฅเคค เคธเคเคฌเคเคง Blood Relations ]๐ฅ[ SSC GD +UPSI ] ๐ข๐'' Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 18 questions ยท โฑ 45 sec
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๐ฒ Quiz 'โฌ #๐ฆ๐๐๐๐ก๐๐ ๐ค๐จ๐๐ญ #301 โญ ๐ผ [ NCERT เคชเคฐ เคเคงเคพเคฐเคฟเคค เคฎเคนเคคเฅเคตเคชเฅเคฐเฅเคฃ เคชเฅเคฐเคถเฅเคจ ]๐' Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 21 questions ยท โฑ 30 sec
๐2๐1๐1๐ฅ1๐1๐1
๐ฒ Quiz 'SCIENCE GK ๐๐๐๐ ๐ฟ [[ ๐opic โ เคตเฅเคเฅเคเคพเคจเคฟเค เคจเคพเคฎ เคธเฅ เคธเคเคฌเคเคงเคฟเคค ]] ๐ฟ๐ด' Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 34 questions ยท โฑ 15 sec
๐ฅฐ2โก1๐1๐1
๐ฒ Quiz '๐ด๐ฟ ๐๐จ๐๐๐ก๐ง ๐๐ ๐ค๐จ๐๐ญ [ เคธเคญเฅ เคชเฅเคฐเคคเคฟเคฏเฅเคเฅ เคชเคฐเฅเคเฅเคทเคพ เคเฅ เคฒเคฟเค เคเคชเคฏเฅเคเฅ ] Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 39 questions ยท โฑ 15 sec
โค1๐1๐1๐ฅฐ1๐1
๐ฒ Quiz '๐ฐ๐ข๐ฐ๐ข๐ฐ๐ข๐ฐ๐ข 6 ๐๐จ๐ฏ๐๐ฆ๐๐๐ซ ๐๐ฎ๐ซ๐ซ๐๐ง๐ญ ๐๐๐๐๐ข๐ซ๐ฌ ๐ข๐ฐ๐ข๐ฐ๐ข๐ฐ๐ข๐ฐ @ASHISH_MAKER ๐ฅ๐ฅ๐ฅ๐ฅ#All_Q_With_Explanation๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ' ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญโฆ๏ธ๐ญ ๐ 56 questions ยท โฑ 15 sec
โค1๐1๐ค1๐ฅฐ1๐1๐1
๐ฒ Quiz 'โฆ๏ธโฆ๏ธ๐ต๐ธ๐Eduteria 7500 set- 2 ๐๐ธ๐ตโฆ๏ธโฆ๏ธ By:-โฅ๏ธโ ๐๐๐๐กikaโกYadav.โขเนเนเนเนเนเนเน.๐ ๐ธโฅ๏ธ๐ธโฅ๏ธ๐ธโฅ๏ธ๐ธโฅ๏ธ๐ธโฅ๏ธ๐ธโฅ๏ธ๐ธโฅ๏ธ๐ธโฅ๏ธ๐ธโฅ๏ธ๐ธโฅ๏ธ' ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธโฆ๏ธ๐ธ ๐ 54 questions ยท โฑ 15 sec
๐ฅ3โก1โคโ๐ฅ1๐1๐1๐1๐1
๐ฒ Quiz 'โฆ๏ธโฆ๏ธโฆ๏ธโฆ๏ธโฆ๏ธโฆ๏ธ 5 ๐๐จ๐ฏ๐๐ฆ๐๐๐ซ ๐๐ฎ๐ซ๐ซ๐๐ง๐ญ ๐๐๐๐๐ข๐ซ๐ฌ โฆ๏ธโฆ๏ธโฆ๏ธโฆ๏ธโฆ๏ธโฆ๏ธ @ASHISH_MAKER ๐ชฉ๐ชฉ๐ชฉ#All_Q_With_Explanation๐ชฉ๐ชฉ๐ชฉ' ๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐ ๐ 81 questions ยท โฑ 15 sec
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๐ฒ Quiz '[] ๐ ๐ฎ๐๐ต ๐พ๐๐ถ๐ []โฐ (เคเคฃเคฟเคค เคเคพ เคชเฅเคฐเคธเฅเคคเคพเคต โ ๐ แดแดสแดแดแดแดษชแดแดส ๐สแดแดฉแดสแดษชแดษด๊ฑ]) โช๏ธ ๐PECIAL ๐ OR ๐LL ๐NE ๐AY ๐XAMS โช๏ธ Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 16 questions ยท โฑ 45 sec
๐2๐2๐คฉ1๐ฅฐ1
๐ฒ Quiz '๐ด๐ฟ ๐opic โ เคธเฅเคฐเคฎเคเคกเคฒ เคธเฅ เคธเคเคฌเคเคงเคฟเคค เคธเคญเฅ เคฎเคนเคคเฅเคตเคชเฅเคฐเฅเคฃ เคชเฅเคฐเคถเฅเคจ (๐eography ๐uiz) ๐ฟ Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 58 questions ยท โฑ 15 sec
๐ฅฐ2โคโ๐ฅ1๐1๐1๐1
๐ฒ Quiz '๐ด]โ LUCENT MIX GK ๐ฟใ๐ฆ๐ฆ๐, ๐ก๐ง๐ฃ๐, ๐๐ง๐๐ง เคเคคเฅเคฏเคพเคฆเคฟ เคชเคฐเฅเคเฅเคทเคพเคเค เคเฅ เคฒเคฟเค เคฎเคนเคคเฅเคตเคชเฅเคฐเฅเคฃ เคชเฅเคฐเคถเฅเคจเฅเคคเฅเคคเคฐ] ใโ Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 47 questions ยท โฑ 15 sec
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๐ฒ Quiz 'เคเฅเคต เคตเคฟเคเฅเคเคพเคจ เคเฅ เคธเคญเฅ เคฎเคนเคคเฅเคตเคชเฅเคฐเฅเคฃ เคชเฅเคฐเคถเฅเคจ ๐ฌ ๐๐จ๐ฌ๐ญ ๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ ๐ฟ๐ด' Byy @Keshavsinghaniya' https://t.me/keshavsinhganiya ๐ 43 questions ยท โฑ 15 sec
โก1๐1๐1๐ฅฐ1๐1
๐ฒ Quiz '๐๐๐๐๐๐ 4 ๐๐จ๐ฏ๐๐ฆ๐๐๐ซ ๐๐ฎ๐ซ๐ซ๐๐ง๐ญ ๐๐๐๐๐ข๐ซ๐ฌ ๐๐๐๐๐๐ @ASHISH_MAKER ๐๐๐๐All_Q_With_Explanation๐๐๐๐' ๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐ ๐ 54 questions ยท โฑ 15 sec
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Showing the 12 most recent of 171 posts we hold for @keshavsinhganiya. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 โ 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 โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 โ 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 โ the โNamed by N registered channelsโ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Telegramโs own answer, not this registerโs. When this register asks Telegramโs API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it โ never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegramโs; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegramโs recommendation API, most recently 25 September 2026. Telegram holds a list like this for a small and growing share of the register โ 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 โ 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 elseโs query is independent of having been queried itself.
This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. Each is Telegramโs list for THAT channel, not this one โ 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 7 November 2026 โ this entry's latest reading, not the date you are reading this.
โSHORT QUIZ HOUSE ๐ โ (@keshavsinhganiya), 20,436 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/keshavsinhganiya.
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 ยท 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.