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Channel

Hindu News

@hinduwatch

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,129subscribers

-12 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001574631620
TypeChannel
Username@hinduwatch
Created2 September 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live19 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 19 August 2026
On Telegramt.me/hinduwatch

Growth

2,1292,1412,1357 August 2026 — 2,141 subscribers7 August 2026 — 2,141 subscribers9 August 2026 — 2,139 subscribers13 August 2026 — 2,137 subscribers16 August 2026 — 2,132 subscribers19 August 2026 — 2,129 subscribers7 August 202619 August 2026
6 measurements spanning 12 days, net -12. 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 2,127–2,143 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Aug 2026, 14:562,129-3
16 Aug 2026, 20:442,132-5
13 Aug 2026, 09:052,137-2
9 Aug 2026, 23:372,139-2
7 Aug 2026, 08:482,141no change
7 Aug 2026, 06:452,141first reading

Engagement

13 posts held, back to 11 May 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof 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 13 posts for this entry, the most recent from 29 June 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 59s
Average length
40s

Measured directly from 3 videos 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.

Reaction mix

469 reactions across 13 posts, in 23 distinct kinds. The most used accounts for 17.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤮8417.9%
🤣8217.5%
😁7516.0%
🤬6614.1%
👍367.68%
🔥367.68%
🤡194.05%
😡153.20%
142.99%
🖕102.13%
💯51.07%
👏40.853%
💩40.853%
😱40.853%
🤔30.64%
❤‍🔥20.426%
🍾20.426%
😎20.426%
🥰20.426%
🌭10.213%
3 further kinds30.64%

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 13 of the 13 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 469reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 11 May 2025 to 29 June 2025, 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

29 Jun 2025, 16:49 UTC≈3,260 views76 reactionsread 7 August 2026
Video

Hindus vandalized a church in Bhathanpali Raigarh, Chattisgarh. Hindu terrorist group of VHP and Bajrang Dal vandalized a Church, broke its cross and installed their Hindu saffron flags @Hinduwatch

🤬37🔥19👍6🤣5🖕42🥰2❤‍🔥1

18 Jun 2025, 18:41 UTC≈4,280 views54 reactionsread 7 August 2026
Video

Hindu man spitting in the Milk A viral video was spread by Hindus with a fake claim that the person spitting in milk is a Muslim, after investigation it was turned out that the Man is a Hindu named Sukhdev singh chhabra @Hinduwatch

🤮47😁4🖕21

18 Jun 2025, 08:50 UTC≈2,660 views47 reactionsread 7 August 2026
Photo

⚡️The Indian group dedicated to mass reporting anti Indian channels on telegram and X has been suspended for sharing child pornography.

😁23🤣12👍73🔥2

16 Jun 2025, 10:37 UTC≈2,570 views25 reactionsread 7 August 2026
Forwarded from @exhinduatheists

A Hindu militant in Tripura killed a Muslim youth and then chopped his body into pieces and put it in a freezer. https://www.ndtv.com/india-news/love-triangle-murder-in-tripura-body-of-missing-man-found-in-ice-cream-freezer-8645087

😡15🤬5🔥2😁2❤‍🔥1

13 Jun 2025, 09:28 UTC≈2,940 views36 reactionsread 7 August 2026
Photo

🇺🇸 #USA: Hindu migrant sentenced to 26 months for various hate crimes. A Hindu migrant named Bhushan Athale threatened a Sikh woman with following words "I will cut every Sikh hair" "I will force them to smoke" @Hinduwatch

🤡19🤣7👏43👍1💩1🔥1

27 May 2025, 11:55 UTC≈2,430 views28 reactionsread 7 August 2026
Photo

🇦🇺Australia: Hindu doctor accused of r*pe, sexual assault and torture has been granted bail in Brisbane. https://www.noticer.news/brisbane-indian-doctor-rape-charges-bail/ @Hinduwatch

🤮24🔥2🤬2

14 May 2025, 09:12 UTC≈2,600 views43 reactionsread 7 August 2026
Photo

Hindus can't handle the truth @Hinduwatch

😁31🔥52🍾2😎2🤝1

14 May 2025, 07:28 UTC≈1,900 views17 reactionsread 7 August 2026
Photo

Indian Hindu Government underreported the Covid 19 deaths. Nearly 150000 less deaths were reported by India, new data claims that the actual number of deaths were 6 times more than reported data. @Hinduwatch

👍12🤔3🔥2

14 May 2025, 07:20 UTC≈1,800 views16 reactionsread 7 August 2026
Video

India fabricated the F-16 fighter jet shot down to claim victory - Dr Christine fair @Hinduwatch

👍9💯5💩1🤣1

13 May 2025, 09:48 UTC≈1,850 views47 reactionsread 7 August 2026
Photo

Hindu level of intellect @Hinduwatch

🤣29😁12🖕4👍1🔥1

11 May 2025, 18:44 UTC≈2,210 views29 reactionsread 7 August 2026
Photo

🇦🇺Australia: Indian Hindu migrant Dhiren patel raped an underage employee in a cafe in Canberra. @Hinduwatch

🤬22😁3💩2🌭1🔥1

11 May 2025, 18:31 UTC≈1,290 views31 reactionsread 7 August 2026
Photo

Indian Pro Hindu media accuse US and China of spreading propaganda against India @Hinduwatch

🤣281🔥1🗿1

Showing the 12 most recent of 13 posts we hold for @hinduwatch. 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.

Citation-graph rank

Citation-graph rank — 939,689 of 1,583,249entries 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

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.

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.

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 19 August 2026 — this entry's latest reading, not the date you are reading this.

“Hindu News” (@hinduwatch), 2,129 subscribers as measured 19 August 2026. Telegram Register, tgregister.com/channel/hinduwatch.

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.