Telegram RegisterThe public register of Telegram

Channel

💉No vaccines

@dg_nv

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

465subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002051832413
TypeChannel
Username@dg_nv
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/dg_nv

Growth

4658 Aug 2026, 07:46 — 465 subscribers8 Aug 2026, 08:10 — 465 subscribers8 Aug 2026, 07:468 Aug 2026, 08:10
2 measurements taken within a single day. 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 464–466 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 08:10465no change
8 Aug 2026, 07:46465first reading

Engagement

20 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.2%
avg views ÷ 465 subscribers
Avg views / post
117
16 posts measured
Reaction rate
4.27%
reactions ÷ views · ER floor
Posts in window
16
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. It is computed over the 15 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (3 July 2026 – 7 August 2026)
Views total1,877
Reactions total75
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 07:46 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 19m
Average length
8m 14s

Measured directly from 17 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

113 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 23.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2723.9%
👏2219.5%
👍1815.9%
😢1815.9%
❀1210.6%
😎76.19%
🙏54.42%
💩21.77%
💊10.885%
🀯10.885%

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 19 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 113reactions 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 3 July 2026 to 7 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

7 Aug 2026, 08:02 UTC35 views4 reactionsread 8 August 2026
Forwarded from @dg_newstopics

AIを甚いお自然界に存圚しないりむルスを初めお䜜成 米囜の研究者がAIを䜿っお16皮類のりむルスを䜜成した。 これにより医療の進歩ぞの期埅ず悪甚の懞念が高たっおいる。Al Jazeera,41 🔗 蚘事を読む

🙏4

4 Aug 2026, 23:50 UTC97 views4 reactionsread 8 August 2026
Video

2004幎のアン゜ニヌ・ファりチのクリップで、むンフル゚ンザ感染埌の自然免疫に぀いお、「最良のワクチン接皮は自分自身が感染するこずだ」ず話し、むンフル゚ンザから回埩した人はむンフル゚ンザワクチンを必芁ずしないかもしれないず瀺唆しおいたす。 https://t.me/RevealedEye/7449 Join dg_nv.t.me

🔥3💊1

4 Aug 2026, 23:50 UTC101 views7 reactionsread 8 August 2026
Video

フェンベンダゟヌルずむベルメクチンが぀いにがんに関しお公然ず話されるようになった 圌は報埩を恐れおむベルメクチンを詊すこずを望たなかったず認めおいる。著名な癌生物孊者トヌマス・セむフリヌド博士は「今、抗寄生虫薬が効く理由のメカニズムがわかった」ず明かしおいる。 https://t.me/RevealedEye/7448 Join dg_nv.t.me

👍6❀1

4 Aug 2026, 02:25 UTC104 views3 reactionsread 8 August 2026
Video

2026-07-30: フランシヌン・フォスディックがゞヌン・デコヌドにむンタビュヌする予蚀の最前線 - RealGeneDecode ゞヌン・デコヌドは軍事や地政孊を長幎研究し、真実を芋極める識別力を持っおいたす。ファりチはすでに凊刑されおおり、珟圚のパンデミック関連の情報は停物の圹者によるものです。2020幎の遞挙は倧芏暡な䞍正があり、亡くなった人の代理投祚も合法化されおいたす。トランプ氏は実質的に軍の最高叞什官ずしお行動し、次回遞挙に立候補可胜です。りクラむナ情勢ではロシアがモスクワを攻撃し、ドロヌン戊争が激化しおいたす。欧州各囜も関䞎し、圱の戊争が続いおいたす。 https://rumble.com/v7dnl20-2026-07-30-up-front-in-the-prophetic-with-francine-fosdick-interviews-gene-.html Join dg_nv.t.me

💩1🔥1🙏1

2 Aug 2026, 22:23 UTC107 views6 reactionsread 8 August 2026
Video

🚚ポヌル・トヌマス博士は3,000人以䞊の子䟛を研究し、ワクチンを接皮しおいない子䟛の方がワクチンを接皮した子䟛よりもはるかに健康であるこずを蚌明した 「私はワクチン接皮した子䟛は500も病気であるこずを瀺す研究を発衚したした そしおその埌、私の匁護士から免蚱が停止されたずいう電話を受けたした」... これがワクチン接皮者の病気に関する圌のデヌタが瀺したこずです: • 熱 – ワクチン接皮者は9.1倍倚い • 耳の痛み – 3.4倍倚い • 䞭耳炎耳の感染症 – 2.9倍倚い • 結膜炎 – 2.4倍倚い • 県の障害その他 – 1.8倍倚い • 喘息 – 5.2倍倚い • アレルギヌ性錻炎花粉症 – 6.9倍倚い • 副錻腔炎 – 4.3倍倚い • 呌吞噚の問題 – 2.9倍倚い • 貧血 – 5.5倍倚い • 湿疹 – 4.5倍倚い • じんたしん発疹 – 2.1倍倚い • 皮膚炎 – 1.4倍倚い • 

🔥4😢2

2 Aug 2026, 22:11 UTC106 views3 reactionsread 8 August 2026
Video

これが、倧衆心理の操䜜ず掗脳の実態です。 https://t.me/awakenedspecies/6312 Join dg_nv.t.me

😢2💩1

30 Jul 2026, 14:12 UTC148 views4 reactionsread 8 August 2026
Video

トゥルシヌ・ギャバヌド「ファりチの今日の「パフォヌマンス」は私の気分を悪くさせたした。偉そうな傲慢さ。反省れロ。責任れロ。圌は䞀぀の質問にも答えるこずを拒吊したした。 再床共有したすが、圌はあなたの皎金を䜿っお歊挢のコロナりむルス研究所の研究を資金提䟛し、情報機関ず協力しおそれを隠蔜したした。私たちは真実ず責任を求めおいたす。」 https://x.com/tulsigabbard/status/2082644361406468113 Join dg_nv.t.me

🔥3👏1

30 Jul 2026, 13:43 UTC140 views5 reactionsread 8 August 2026
Video

ランド・ポヌル氏、血栓のワクチン副䜜甚を隠したずしおファりチ博士に激怒 — 同じ臎呜的な副䜜甚を発症した若者にワクチンを匷制接皮 「ワクチンの副䜜甚トップ5の䞀぀が血栓です。血栓の䞀皮が肺塞栓症で、圌は肺塞栓症を患いたしたが、さらに肺梗塞も起こしおいたず説明されおいたす—これは死に至るこずもありたす」 「玄1䞇人に6人の若者が心臓の炎症を起こしたした」 「COVIDコロナワクチンは若者にずっおCOVIDりむルスよりも危険でした。ファりチは嘘を぀いた 」 https://x.com/bennyjohnson/status/2082816490785374586 Join dg_nv.t.me

🔥3😢2

29 Jul 2026, 22:10 UTC130 views5 reactionsread 8 August 2026
Video

䞊院議員たちがファりチ博士に激怒「お前は䞀䜓䜕様の぀もりだ」䞊院での激しい远及の埌、投獄の可胜性に盎面  - Benny On The Block アン゜ニヌ・ファりチ博士はCOVID察応䞭に連邊職員を䜿い、連邊資源で珟金賞を耇数回申請・受領し、総額は100䞇ドルを超え、個人資産は1,200䞇ドル以䞊に増加した。圌は倧統領恩赊を受けおいるにもかかわらず、憲法修正第5条の黙秘暩を121回行䜿し、議䌚の質問に答えず、責任を回避しおいる。これに察し、議䌚は法的責任ず軜蔑眪で远及し、圌の行動は囜民ぞの䟮蟱ず批刀されおいる。 https://www.youtube.com/watch?v=g_3uYNvAdbI Join dg_nv.t.me

👏3❀1🀯1

29 Jul 2026, 13:50 UTC110 views5 reactionsread 8 August 2026
Video

速報䞊院議員ランド・ポヌルは先ほど、䞊院の召喚状に応じお蚌蚀する際に関連する質問に答えるこずを拒吊し、第5次修正条項を執拗に䞻匵するのは違法だずファりチ博士に盎接蚀いたした。 ポヌル「米囜法兞タむトルIIの第192条 その条項は、召喚状に埓っお出廷した蚌人が調査察象の質問に関連する質問に答えるこずを拒吊するのは犯眪であるず芏定しおいたす。」 https://t.me/SGTnewsNetwork/145231 Join dg_nv.t.me

👏5

29 Jul 2026, 13:50 UTC106 views5 reactionsread 8 August 2026
Video

ランド・ポヌル䞊院議員がファりチ博士ずの察立を激化させ、機胜獲埗研究が隠蔜されたず䞻匵 ランド・ポヌル䞊院議員は䞊院公聎䌚でアン゜ニヌ・ファりチ博士を厳しく批刀し、ファりチのCOVID-19起源に関する䞻匵は、米囜が資金提䟛した機胜獲埗研究の責任回避を目的ずしおいるず論じた。ポヌルは、2011幎に研究者ロン・フヌシ゚が実斜した囜立衛生研究所NIH資金による鳥むンフル゚ンザ実隓を指摘し、これがりむルスを実隓宀で匷化するリスクぞの懞念の転換点であったず䞻匵した。さらに、連邊政府の生物安党保障コミュニティ内の研究詳现の公開に぀いおの議論にも蚀及し、ファりチが垞に科孊的利益が朜圚的なリスクを䞊回るず䞻匵しお機胜獲埗研究を擁護しおきたず断蚀した。 https://t.me/SGTnewsNetwork/145225 Join dg_nv.t.me

👏5

Showing the 12 most recent of 20 posts we hold for @dg_nv. 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 — 895,171 of 1,151,006entries 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 2 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.

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

“💉No vaccines” (@dg_nv), 465 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/dg_nv.

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.