Telegram RegisterThe public register of Telegram

Channel

🀫Hidden History

@dg_h2

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

1,527subscribers

-3 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-1001960619618
TypeChannel
Username@dg_h2
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/dg_h2

Growth

1,5271,5301,528.57 August 2026 — 1,530 subscribers7 August 2026 — 1,530 subscribers10 August 2026 — 1,527 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net -3. 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 1,527–1,530 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 15:131,527-3
7 Aug 2026, 21:331,530no change
7 Aug 2026, 12:321,530first reading

Engagement

20 posts held, back to 30 June 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
83.5%
avg views ÷ 1,527 subscribers
Avg views / post
1,280
7 posts measured
Reaction rate
0.795%
reactions ÷ views · ER floor
Posts in window
7
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (30 June 2026 – 6 August 2026)
Views total8,930
Reactions total71
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 21:33 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.

What this channel posts

Video runtime
2h 51m
Average length
8m 35s

Measured directly from 20 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

231 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 33.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7833.8%
🔥3314.3%
😢239.96%
🀬239.96%
😡156.49%
👏135.63%
😭104.33%
🀩93.90%
🙏83.46%
😱62.60%
💩41.73%
🥰31.30%
💯20.866%
🀡20.866%
💊10.433%
😁10.433%

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 20 of the 20 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 231reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 30 June 2026 to 6 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

6 Aug 2026, 21:20 UTC456 views9 reactionsread 7 August 2026
Video

スポケヌンワシントン州が燃え続ける䞭 カリフォルニアの「山火事」ずの䞍気味な類䌌点を振り返る 法医孊的暹朚孊者は、パラダむス火灜以降のカリフォルニア州のほがすべおの山火事が、 DEWダむレクト゚ネルギヌ兵噚 によっお匕き起こされたず刀断した。 ロバヌト・ブレむムは、38幎間暹朚孊者ずしおの経隓があり、ここ48幎間は怍物界の研究に専念し、カリフォルニアの圚来怍物に泚目しおいる。圌は䞻にカリフォルニアでの38件の異なる山火事の埌を蚪れ、106回の広範な珟地調査を行った。 圌の分析によるず、これらの火灜のうち自然発火はわずか3件だった。 • 圌が䟋ずしお挙げるのは、2017幎のカリフォルニア州サンタロヌザのコフィヌパヌク火灜である。 —— 高床に可燃性の暹朚が呚囲の䜏宅が党焌したにもかかわらず、たったく無傷のたただった。これはロサンれルスの火灜でも目撃された光景ず同様だ。 🔎圌がカリフォルニアを䞭心ずした火灜被灜地ぞ 

😡8😢1

3 Aug 2026, 22:33 UTC604 views10 reactionsread 7 August 2026
Video

秘密のフリヌメむ゜ン、少幎花婿の儀匏 https://t.me/HATSTRUTH/6372 #SaveTheChildren Join dg_h2.t.me

😭10

3 Aug 2026, 22:25 UTC≈1,070 views7 reactionsread 7 August 2026
Video

ノヌベル賞受賞者カリヌ・マリス博士が、゚むズ詐欺の実態を暎露したす。 https://t.me/RevealedEye/7446 Join dg_h2.t.me

👍6😢1

1 Aug 2026, 12:05 UTC≈1,110 views13 reactionsread 7 August 2026
Video

🚚 トランプ氏が぀いに本音を口にした — それは恐ろしいこずだ 関係者や技術幹郚たちは今、6Gが実際に䜕をもたらすのかを公然ず議論しおいる。 最近の発蚀によるず、6Gの信号は以䞋のこずが可胜になるほど匷力だずいう • デバむスを持ち歩かなくおも心拍を感知できる • 建物の内郚を芋るこずができる • 䞖界党䜓のリアルタむムの「デゞタルツむン」を䜜成する クアルコムのCEOは、人間やドロヌンを含む動くものすべおを囜家芏暡で远跡できる地球のデゞタルクロヌンをマッピングするこずを説明しおいる。 これはより速い携垯電話の話ではない。完党なる可芖化の話だ。 心拍を監芖され、同意なく䜓内を芋られるネットワヌクにあなたは承諟できるだろうか https://x.com/hustlebitch_/status/2083206641336320210 Join dg_h2.t.me

🀬12💩1

30 Jul 2026, 04:25 UTC≈1,920 views17 reactionsread 7 August 2026
Video

⚠スりェヌデンにいるむラン人女性 「ペドフィリア小児性愛は、むラン・むスラム共和囜で合法です。幌い女の子たちが倧人の男性に嫁がされおいたす。 私たちはこの問題の認知を広げようずしおいたすが、西掋のフェミニストたちは私たちを完党に無芖しおいたす。」 https://t.me/SGTnewsNetwork/145350 Join dg_h2.t.me

🔥8😡7🙏2

24 Jul 2026, 21:45 UTC≈1,670 views7 reactionsread 7 August 2026
Video

ボヌンレポヌトアメリカが遞挙クヌデタヌに目芚める - The Alex Jones Show Live ドミニオン投祚システムは、ベネズ゚ラ補の䞍正゜フトりェア「゚むミヌ・ワむンハりス」を内郚に組み蟌み、遞挙結果を操䜜しおいる。ドミニオンは「リバティ」ず名前を倉えたが、同じシステムを䜿い続けおいる。内郚メヌルや技術者の蚌蚀で、システムのアップグレヌドや投祚凊理にこの゜フトが関䞎しおいるこずが明らかになっおいる。さらに、投祚甚タブレットは䞭囜補で䞊海皎関を通過し、䞭囜やベネズ゚ラの関係者がアメリカの遞挙に関䞎しおいる。これらの情報はトランプが公開した䞭倮情報局の文曞にも含たれおいる。 https://rumble.com/v7d7kl6-bowne-report-america-wakes-up-to-the-election-coup.html Join dg_h2.t.me

👍7

24 Jul 2026, 13:09 UTC≈2,100 views8 reactionsread 7 August 2026
Video

「教育システム党䜓は、ロックフェラヌずいう非垞に裕犏な人々によっお䜜られ、孊校は刑務所の様な堎所です。」 https://t.me/RevealedEye/7435 Join dg_h2.t.me

🔥5👍2💩1

13 Jul 2026, 13:15 UTC≈2,390 views15 reactionsread 7 August 2026
Video

非難ではなく 単なる考える材料です。 1975幎、議䌚の公聎䌚でCIAが秘密の「心臓発䜜銃」を開発しおいたこずが明らかになりたした。この歊噚は、静かに埮小な毒入りのダヌツを100ダヌド以䞊飛ばしお暙的に呜䞭させ、暙的は気づかないずいうものでした。毒は速やかに消散し、暙準的な毒物怜査報告には痕跡を残さないよう蚭蚈されおおり、完党なあり埗る吊認を保蚌しおいたした。 それが認められたのは50幎以䞊前のこずです  https://x.com/whiplash437/status/2076477586935574787 Join dg_h2.t.me

🀬11😱3😢1

13 Jul 2026, 03:05 UTC≈1,630 views11 reactionsread 7 August 2026
Video

南極に隠されおいるものは私たちが思っおいたよりも衝撃的です | Redacted News - Redacted News 南極には巚倧な氷の壁ずその向こうに広がる陞地があり、立ち入り犁止区域や飛行犁止区域が存圚したす。1930幎代からナチスが泚目し、1946幎のハむゞャンプ䜜戊でも調査されたした。厚い氷の䞋には地䞋軍事基地や巚倧な穎があり、地熱掻動も掻発です。リモヌトビュヌむングで高床な文明の存圚や巚倧な動怍物が確認され、南極の秘密は䞖界に隠されおいたす。監芖は囜立科孊財団が行い、蚱可なしの立ち入りは犁止されおいたす。 https://rumble.com/v7cmt9o-whats-hidden-in-antarctica-is-more-shocking-than-we-thought-redacted-news.html Join dg_h2.t.me

👍11

11 Jul 2026, 23:35 UTC≈1,350 views16 reactionsread 7 August 2026
Video

むランは䜕十幎も雚が降りたせんでした。その埌、むランがアメリカずむスラ゚ルの環境操䜜システムHAARPであるこずが刀明したレヌダヌを砎壊するず、雚が降り始めたした。 https://x.com/zabayar/status/2075746237404324298 Join dg_h2.t.me

👏13🥰3

11 Jul 2026, 22:50 UTC≈1,280 views4 reactionsread 7 August 2026
Video

意識を転送するスタヌゲヌト - Michael Salla スタヌゲむトは基地の䞋にある郚屋で、テレビ番組に出る回転する装眮ではありたせん。意識を移す装眮で、氎銀を䜿った仕組みです。ノルディックや囜際パむロットたちは、生物的なUFOが意識を転送しおおり、スタヌゲむトも生物の意識を転送する装眮だず説明しおいたす。 https://www.youtube.com/watch?v=ubnfAIZmlUA Join dg_h2.t.me

👍4

11 Jul 2026, 22:15 UTC≈1,630 views8 reactionsread 7 August 2026
Video

持続する飛行機雲ず蟲業ぞの圱響 これは20幎前の囜連総䌚での必芋の動画です。ロザリンド・ピヌタヌ゜ン博士が、「持続的なゞェット機の飛行雲による地質工孊」の問題に぀いお語っおいたす。 圌女は、このこずが受粉媒介者昆虫、倪陜光の枛少、光合成の䜎䞋、そしお気枩の䞊昇に及がす圱響に぀いお譊告しおいたす。 https://t.me/RevealedEye/7420 Join dg_h2.t.me

🔥7😢1

Showing the 12 most recent of 20 posts we hold for @dg_h2. 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 — 850,429 of 1,169,250entries 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 3 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“🀫Hidden History” (@dg_h2), 1,527 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/dg_h2.

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.