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Telegram profile photo for Wow!

Channel

Wow!

@wowwvd

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

34,955subscribers

-313 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001359212805
TypeChannel
Username@wowwvd
Created31 October 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/wowwvd

Topic

Other / unclassifiable — 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 48% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 7 other registered channels. This entry also sits inside a group of 156 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@amazingfacts4/71588 Sept 2026, 20:30 UTC@wowwvd/8838 · this entry8 Sept 2026, 20:30 UTC1.00under a minute
@wowwvd/8900 · this entry24 Sept 2026, 20:12 UTC@amazingfacts4/721524 Sept 2026, 20:12 UTC1.00under a minute
@wowwvd/8959 · this entry7 Oct 2026, 20:26 UTC@amazingfacts4/72637 Oct 2026, 20:27 UTC1.00under a minute
@amazingfacts4/729616 Oct 2026, 20:10 UTC@wowwvd/9007 · this entry16 Oct 2026, 20:10 UTC1.00under a minute
@wowwvd/9028 · this entry20 Oct 2026, 21:16 UTC@amazingfacts4/731220 Oct 2026, 21:16 UTC1.00under a minute
@amazingfacts4/732122 Oct 2026, 20:07 UTC@wowwvd/9035 · this entry22 Oct 2026, 20:07 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@amazingfacts414 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (10–4)
@secret_health113 (8/8 hand-verifiable sample passed)1.00under a minute@secret_health1 (8–5)
@secret_history213 (8/8 hand-verifiable sample passed)1.00under a minute@secret_history2 (7–6)
@cruel_historyy13 (8/8 hand-verifiable sample passed)1.00under a minute@cruel_historyy (12–1)
@conspiracy_theory312 (8/8 hand-verifiable sample passed)1.00under a minute@conspiracy_theory3 (8–4)
@alan_mandell_official8 (8/8 hand-verifiable sample passed)1.00under a minute@alan_mandell_official (5–3)
@elixir_youth15 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 46 of the 46 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 78 comparable posts for this entry, running 4 August 2026 to 8 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 156 channels, the one whose matching posts we hold earliest is @ProfSucharitBhakdi. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 156 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

AUF1
@auf1tv · Channel
271,809 subscribers
Aktien mit Kopf
@Aktien_mit_Kopf1 · Channel
188,045 subscribers
Freie Medien
@FreieMedienTV · Channel
134,014 subscribers
LION Media
@LIONMediaNews · Channel
132,271 subscribers
Oliver Janich & Team
@oliverjanich · Channel
106,330 subscribers
Cruel History
@cruel_historyy · Channel
102,968 subscribers
LION Media TV
@LIONMediaTV · Channel
102,727 subscribers
Qlobal-Change 🫂
@QlobalChange · Channel
91,935 subscribers
Mäckle macht gute Laune
@maeklegutelaune · Channel
91,321 subscribers
BITTEL TV - EINFACH ANDERS
@bitteltv · Channel
91,047 subscribers
Aktuell360 (Antiilluminaten TV)
@antiilluminaten · Channel
89,691 subscribers
Reiner Fuellmich 🇩🇪/🇦🇹/🇨🇭
@ReinerFuellmich · Channel
89,285 subscribers
Wahrheitsjäger
@Wahrheits_jaeger · Channel
83,256 subscribers
HAINTZ.media 🇩🇪🇦🇹🇨🇭🇪🇸
@Haintz · Channel
72,195 subscribers
henning rosenbusch - Channel
@rosenbusch · Channel
71,620 subscribers
🔎 Graphene Agenda 💉
@GrapheneAgenda · Channel
70,188 subscribers
Politische Bilder 😇
@PolitischeBilder · Channel
68,706 subscribers
HISTORY
@secret_history2 · Channel
68,537 subscribers
Stefan Magnet
@stefanmagnet · Channel
68,100 subscribers
Carsten Jahn - TEAM HEIMAT
@CarstenJahn_TEAMHEIMAT · Channel
66,988 subscribers
Tom Lausen ‼️ Original Datenanalyst Offiziell
@Tom_Lausen1 · Channel
61,309 subscribers
Dirk Dietrich
@DDDDoffiziell · Channel
55,844 subscribers
MEINE D-NEWS 🇩🇪 🇦🇹 🇨🇭
@MeineDNEWS · Channel
55,240 subscribers
Prof. Dr. Martin Schwab Offiziell
@ProfMartinSchwab · Channel
50,038 subscribers
Conspiracy Theory
@conspiracy_theory3 · Channel
48,508 subscribers
Anwälte-für-Aufklärung
@Anwaelte_fuer_Aufklaerung · Channel
47,884 subscribers
Prof. Dr. Martin Schwab Offiziell
@ProfdMartinSchwab · Channel
45,709 subscribers
Tom Lausen ‼️❗️original Datenanalyst
@TomLausen · Channel
45,155 subscribers
Rolf Kron - Ärzte stehen auf Offizieller Kanal
@Rolf_Kron · Channel
43,867 subscribers
SECRETS OF HEALTH
@secret_health1 · Channel
42,475 subscribers
Cute and Fun Videos 🥰
@cuteandfunvideos · Channel
39,843 subscribers
Simone Voss - EINE LEHRERIN STEHT AUF-
@simonevoss · Channel
39,778 subscribers
Kanal Rechtsanwalt Dirk Sattelmaier
@rasattelmaier · Channel
38,371 subscribers
1984 – Das Magazin
@oliverflesch · Channel
36,744 subscribers
Daniel Prinz News
@DanielPrinzOffiziell · Channel
36,593 subscribers
Meet Your Mentor (mym by Simo)
@MeetYourMentorOffizielle · Channel
35,028 subscribers
Heiko Schöning offiziell
@heiko_schoening · Channel
34,062 subscribers
Q-Faktor Germany News - Die Echtzeit Analyse - Das Original ©
@Q_Faktor_Germany · Channel
33,631 subscribers
JENS LEHRICH
@jenslehrich1 · Channel
33,089 subscribers
Snicklink unzensiert
@snicklink3000 · Channel
33,005 subscribers
Amazing Facts💡
@amazingfacts4 · Channel
32,557 subscribers
Politische Nachrichten 🗞
@Politische_Nachrichten · Channel
27,867 subscribers
Dave Brych Kanal
@davebrych_public · Channel
27,317 subscribers
Dr. med. Carola Javid- Kistel MITEINANDER MUTIG SEIN- ÄRZTE STEHEN AUF FÜR PATIENTEN.....🙏❤
@miteinander_mutig_sein · Channel
27,029 subscribers
Kontrafunk - Die Stimme der Vernunft
@kontrafunk2 · Channel
24,240 subscribers
Danijel_Sheran17 ✨
@danijelsheran · Channel
22,850 subscribers
✨✨✨ᵂᴬQᴱᵁᴾᵂᴼᴿᴸᴰ✨✨✨ 🄰🅁🄲🄷🄸🅅✨✨✨
@waqeupworld · Channel
20,801 subscribers
Kurz und Kräftig
@Kurz_und_kraftig · Channel
20,446 subscribers
Thomas Eglinski Info-Kanal
@infothomaseglinski1 · Channel
19,975 subscribers
💣𝐓𝐈𝐐 𝐓𝐎𝐐 𝐁𝐐𝐐𝐌𝐒💣
@TiQToQBQQms · Channel
19,342 subscribers

105 more channels are in this same group but not listed individually here.

Growth

34,95535,26835,111.57 August 202611 November 2026
62 measurements spanning 97 days, net -313. 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 34,908–35,315 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
11 Nov 2026, 21:5534,955-22
10 Nov 2026, 02:2134,977+18
8 Nov 2026, 14:1534,959-6
7 Nov 2026, 09:4434,965-19
5 Nov 2026, 08:4934,984-5
4 Nov 2026, 09:4934,989-1
3 Nov 2026, 12:1934,990-4
2 Nov 2026, 14:5634,994+13
1 Nov 2026, 13:2834,981-3
31 Oct 2026, 10:2734,984+2
30 Oct 2026, 10:5434,982-10
29 Oct 2026, 09:1434,992+18
28 Oct 2026, 09:4534,974+1
27 Oct 2026, 06:2634,973-8
26 Oct 2026, 08:5834,981+8
25 Oct 2026, 10:5634,973-8
24 Oct 2026, 14:2634,981-7
23 Oct 2026, 14:4934,988-5
22 Oct 2026, 16:5734,993+6
21 Oct 2026, 09:5634,987first reading

Engagement

349 posts held, back to 3 August 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 177 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.09%
avg views ÷ 34,955 subscribers
Avg views / post
2,480
109 posts measured
Reaction rate
2.08%
reactions ÷ views · ER floor
Posts in window
109
of 349 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 11 November 2026
Posts held349 (3 August 2026 – 11 November 2026)
Views total270,155
Reactions total5,626
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 18:06 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
1h 34m
Average length
19s

Measured directly from 301 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

18,388 reactions across 349 posts, in 24 distinct kinds. The most used accounts for 64.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤11,93464.9%
🥰2,84815.5%
🤩1,2806.96%
👍7614.14%
😁3892.12%
👏2401.31%
😍1951.06%
🔥1090.593%
🤣1040.566%
❤‍🔥970.528%
😱760.413%
🤔720.392%
🙏390.212%
😢380.207%
💯340.185%
🎉310.169%
🥴290.158%
🥱280.152%
👌260.141%
🌭220.12%
4 further kinds360.196%

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 349 of the 349 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 18,388 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 349 most recent posts we hold, published 3 August 2026 to 11 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 109 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 — 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).

11 Nov 2026, 18:00 UTC76 views4 reactionsread 11 November 2026
Video

Church of Magnolia Saint Paul in Strasbourg. Join us: ✨ Wow! ✨

❤4

11 Nov 2026, 12:00 UTC769 views30 reactionsread 11 November 2026
Video

Oahu, Hawaii. Join us: ✨ Wow! ✨

❤25🥰4❤‍🔥1

10 Nov 2026, 22:00 UTC≈1,340 views34 reactionsread 11 November 2026
Video

Ocean sunsets. Join us: ✨ Wow! ✨

❤28👍5❤‍🔥1

10 Nov 2026, 20:43 UTC≈1,290 views8 reactionsread 11 November 2026
Video

THIS IS NOT YOUR ORDINARY GADGET. 0.01 Hz to 100,000 Hz. One powerful little device. Meet Resonix™ Custom Frequency Generator, combining precision controls, analog sine-wave technology, and a distinctive 24K gold-plated copper coil. Built for curious minds, experimenters, and frequency enthusiasts. Small in size. Big on possibilities. Discover RESONIX™ now👇 https://tinyurl.com/ResonixCustomFreqGen ✅️

❤8

10 Nov 2026, 12:00 UTC≈1,580 views51 reactionsread 11 November 2026
Video

🦢💕 Fabulous... Join us: ✨ Wow! ✨

❤40🥰9👏2

9 Nov 2026, 22:00 UTC≈1,730 views45 reactionsread 11 November 2026
Video

❄️ Greenland 🇬🇱 Join us: ✨ Wow! ✨

❤38🥰4👌2🐳1

9 Nov 2026, 18:00 UTC≈1,860 views39 reactionsread 11 November 2026
Photo

Ponta da Piedade is where the Atlantic spent millennia making something extraordinary. Join us: ✨ Wow! ✨

❤28🤩10👏1

9 Nov 2026, 12:00 UTC≈1,920 views41 reactionsread 11 November 2026
Video

❤️ Join us: ✨ Wow! ✨

❤36😱5

8 Nov 2026, 22:30 UTC≈1,990 views67 reactionsread 11 November 2026
Video

🙂 Join us: ✨ Wow! ✨

❤40🥰19❤‍🔥6👏2

8 Nov 2026, 20:37 UTC≈1,880 views14 reactionsread 11 November 2026
Photo

In Japan, women eat eggs in such a way that they can lose up to 11 kg in 2 weeks! The diet is for 7 days. The result will amaze you! Day 1 Breakfast: Oat... and 2 eggs... Read more...

👍11❤2🥱1

8 Nov 2026, 18:00 UTC≈1,930 views50 reactionsread 11 November 2026
Video

Sounds we will never get tired of. Join us: ✨ Wow! ✨

❤36🥰10❤‍🔥2👏1😢1

Showing the 12 most recent of 349 posts we hold for @wowwvd. 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.

Forward network

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.

Channels Telegram recommends alongside this one

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.

Amazing Facts💡
@amazingfacts4 · 32,557
#1
Real Nature
@tgrealnature · 30,682
#2
National Geographic
@NatGeoSociety · 37,410
#3
Cruel History
@cruel_historyy · 102,968
#4
HISTORY
@secret_history2 · 68,537
#5
Nature 🌎
@Nature · 74,689
#6
International Geographic
@internationalgeographic · 39,310
#7
Interesting facts
@intfactsen · 22,670
#8
Did you know?
@did_you_know_mystery · 27,982
#9
Conspiracy Theory
@conspiracy_theory3 · 48,508
#10
The place to be📍
@theplacetobe1 · 6,988
#11
Amazing Facts Chest
@yorserialls · 10,204
#12
Discovery 🌍
@tg_discovery · 18,197
#13
☆꧁ Nαƚυɾҽ Iʂ Lιƚ ꧂☆
@NatureIsLit · 5,102
#14
Crazy Videos
@crazynews_today · 53,014
#15
Viral Today
@viral_today · 12,584
#16
SECRETS OF HEALTH
@secret_health1 · 42,475
#17
GENERAL KNOWLEDGE ™ 💡
@General_KnowledgeTM · 68,659
#18
Crazy Earth
@ukrab · 4,667
#19
Discovery Science 🧬
@discoveryb · 5,464
#20
Earth Curated 🌎
@earthcurated · 27,782
#21
Beautiful Places
@be_places · 6,416
#22
Everything Science
@everything_science · 31,770
#23
Voyage.Travel.Tourism
@voyage · 7,646
#24
Science and facts
@tgscience_facts · 34,235
#25
Traveller
@yourtraveller · 11,675
#26
Tips&Tricks👌
@tipsforgood · 20,084
#27
Funny Videos | Viral Clips | Humor
@funny_videos_memes_clips_kaotic · 86,811
#28
Animals First 🐒🦒🦆
@animals_first · 9,681
#29
Best Funny Videos 😂
@memes_comedy · 230,728
#30
Don’t do it bro..🧨
@Dont_do_it_bro · 20,306
#31
How to make | Design&Decor
@goodtipsnow · 14,865
#32
Mysteries of our planet
@Mysteriesofourplanet · 5,400
#33
ƬƦΔƝƇƑǑƦMΔƬƟƦ
@newrealmood · 8,415
#34
A moment before...
@a_moment_before · 53,347
#35
Wildlife
@wildlifen · 15,683
#36
Planet Earth
@Planet_Earth · 23,546
#37
🐶Dog’s of New York
@DogsNY · 2,971
#38
Educational!
@Educational_tg · 9,722
#39
the Facts
@mind_tg · 11,120
#40
🌱Gardener's Secrets🌱
@GardeningSecrets · 26,908
#41
Real ⚡️News | USA, EUROPE, WORLD WAR
@waitfornewses · 6,281
#42
Design simple & luxurious
@design_simple_lux · 12,522
#43
HUMOR NEWS 🔞 | Telegy
@telegy_humor · 7,427
#44
Weird Facts 🧠
@weird_facts_TM · 55,560
#45
Discovery Science
@s_discovery · 9,471
#46
😺Cat's house
@HousesCat · 5,729
#47
Marketing as an Art
@tg_marketingart · 2,837
#48
Spanish shame
@ShameSpanish · 10,075
#49
Tomorrow Technology
@TheTomorrowTechnology · 9,290
#50
Why?
@why_eng · 18,896
#51
Now I Know 👌
@inowknow · 17,040
#52
Facts!
@wtfax_tg · 7,100
#53
Wonderful World
@tgwondworld · 3,915
#54
LIFE TIPS
@the_life_tips · 113,475
#55
Photo🔝Hacks
@photovideohack · 4,274
#56
Buzz 📚 History
@buzzhistory · 50,211
#57
Breathtaking Technologies
@softwareninja · 12,892
#58
Hi-Tech Daily News
@hitechdailynews · 16,177
#59
Top Disasters
@top_disasters · 17,002
#60
Disgrace
@disgrace_tg · 11,350
#61
Space
@space_en · 6,440
#62
USEFUL TIPS | LIFEHACKS💡
@Useful_Tips_Lifehacks · 33,657
#63
Photo Shot
@photo_shots · 8,593
#64
Barbara O'Neill
@BarbaraOneill_official · 109,535
#65
Living Ocean
@livingocean · 3,665
#66
You can pet 🐶
@You_can_pet · 6,729
#67
Technology Review
@technology_tg · 8,185
#68
Time Machine
@whichtimes · 17,917
#69
Beautiful universe
@BeautifulUniverse11 · 20,965
#70
ENJOI | VIDEOS
@jokesj · 20,809
#71
Science | Facts💡
@Science_and_facts_tg · 4,887
#72
Sick Science!
@sick_science · 14,052
#73
Disclose.tv
@disclosetv · 316,796
#74

Read from Telegram’s recommendation API, most recently 2 September 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.

Appears in Telegram’s recommendations for other channels

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.

Earth Curated 🌎
@earthcurated · 27,782
Telegram ranks this channel #1 of 60 here — alongside 59 others — read 10 September 2026
Amazing Facts💡
@amazingfacts4 · 32,557
Telegram ranks this channel #1 of 71 here — alongside 70 others — read 5 September 2026
cmk_beautiful_palace
@CMK_Beautiful_Palace · 1
Telegram ranks this channel #1 of 47 here — alongside 46 others — read 21 August 2026
Give All the Heart
@givealltheheart · 22,034
Telegram ranks this channel #2 of 68 here — alongside 67 others — read 25 September 2026
Did you know?
@did_you_know_mystery · 27,982
Telegram ranks this channel #2 of 76 here — alongside 75 others — read 10 September 2026
International Geographic
@internationalgeographic · 39,310
Telegram ranks this channel #2 of 79 here — alongside 78 others — read 30 August 2026
Real Nature
@tgrealnature · 30,682
Telegram ranks this channel #3 of 75 here — alongside 74 others — read 7 September 2026
National Geographic
@NatGeoSociety · 37,410
Telegram ranks this channel #3 of 74 here — alongside 73 others — read 31 August 2026
HISTORY
@secret_history2 · 68,537
Telegram ranks this channel #6 of 75 here — alongside 74 others — read 20 August 2026
Cruel History
@cruel_historyy · 102,968
Telegram ranks this channel #6 of 74 here — alongside 73 others — read 15 August 2026
SECRETS OF HEALTH
@secret_health1 · 42,475
Telegram ranks this channel #7 of 65 here — alongside 64 others — read 29 August 2026
Conspiracy Theory
@conspiracy_theory3 · 48,508
Telegram ranks this channel #8 of 73 here — alongside 72 others — read 26 August 2026
Nature 🌎
@Nature · 74,689
Telegram ranks this channel #8 of 82 here — alongside 81 others — read 19 August 2026
Everything Science
@everything_science · 31,770
Telegram ranks this channel #9 of 55 here — alongside 54 others — read 5 September 2026
GENERAL KNOWLEDGE ™ 💡
@General_KnowledgeTM · 68,659
Telegram ranks this channel #11 of 88 here — alongside 87 others — read 20 August 2026
Crazy Moments USA
@Crazy_Moments_USA · 84,976
Telegram ranks this channel #11 of 59 here — alongside 58 others — read 17 August 2026
Interesting facts
@intfactsen · 22,670
Telegram ranks this channel #12 of 77 here — alongside 76 others — read 20 September 2026
SECRETS OF CIVILIZATIONS
@Secrets_of_civilizations · 59,778
Telegram ranks this channel #12 of 61 here — alongside 60 others — read 25 August 2026
@tourism
@journeys · 24,348
Telegram ranks this channel #14 of 77 here — alongside 76 others — read 14 September 2026
Crazy Videos
@crazynews_today · 53,014
Telegram ranks this channel #15 of 80 here — alongside 79 others — read 24 August 2026
BET BUDDIES
@BETBUDDIES_1 · 19,554
Telegram ranks this channel #17 of 29 here — alongside 28 others — read 24 September 2026
Planet Earth
@Planet_Earth · 23,546
Telegram ranks this channel #17 of 80 here — alongside 79 others — read 18 September 2026
Shocking Facts®
@ShockingFact · 34,232
Telegram ranks this channel #18 of 68 here — alongside 67 others — read 3 September 2026
Inspiring Images
@InspiringImages · 36,362
Telegram ranks this channel #20 of 62 here — alongside 61 others — read 1 September 2026

This channel appears in 103 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.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Wow!” (@wowwvd), 34,955 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/wowwvd.

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.