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Channel

Buzz 📚 History

@buzzhistory

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

50,211subscribers

-1,978 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-1001732787083
TypeChannel
Username@buzzhistory
DescriptionSharing the most interesting moments in history 🔙 😎 Ads: @buzzads
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/buzzhistory

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 76% 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 2 other registered channels. This entry also sits inside a group of 3 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
@buzzhistory/2177 · this entry29 Jul 2026, 05:52 UTC@Movies_2023_Netflix/29174 Aug 2026, 06:04 UTC1.006 days
@buzzhistory/2195 · this entry7 Aug 2026, 05:52 UTC@Movies_2023_Netflix/29338 Aug 2026, 09:03 UTC1.0027 hours
@buzzhistory/2202 · this entry10 Aug 2026, 17:52 UTC@Movies_2023_Netflix/294012 Aug 2026, 14:03 UTC1.0044 hours
@buzzhistory/2227 · this entry22 Aug 2026, 05:52 UTC@Movies_2023_Netflix/296324 Aug 2026, 12:04 UTC1.002 days
@buzzhistory/2240 · this entry27 Aug 2026, 17:52 UTC@Movies_2023_Netflix/29743 Sept 2026, 09:04 UTC1.007 days
@buzzhistory/2264 · this entry7 Sept 2026, 05:52 UTC@Movies_2023_Netflix/299518 Sept 2026, 17:00 UTC1.0011 days
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
@Movies_2023_Netflix54 (8/8 hand-verifiable sample passed)1.005 daysthis entry (54–0)
@buzzquotes10 (8/8 hand-verifiable sample passed)0.991.8 hoursthis entry (6–4)

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. 4 of the 4 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 135 comparable posts for this entry, running 28 July 2026 to 10 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 3 channels, the one whose matching posts we hold earliest is @buzzhistory — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys 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 3 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.

Growth

50,21152,18951,2007 August 202610 November 2026
62 measurements spanning 95 days, net -1,978. 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 49,914–52,486 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
10 Nov 2026, 06:1150,211-18
8 Nov 2026, 20:0750,229-37
7 Nov 2026, 11:4750,266-20
6 Nov 2026, 11:3950,286-40
5 Nov 2026, 08:4450,326-26
4 Nov 2026, 06:2850,352-15
3 Nov 2026, 07:5950,367-19
2 Nov 2026, 04:2150,386-20
1 Nov 2026, 06:1150,406-18
31 Oct 2026, 09:1850,424-18
30 Oct 2026, 07:1750,442-20
29 Oct 2026, 07:2950,462-1
28 Oct 2026, 07:5950,463-20
27 Oct 2026, 05:5650,483-19
26 Oct 2026, 08:5450,502-7
25 Oct 2026, 11:5050,509-16
24 Oct 2026, 13:4850,525-23
23 Oct 2026, 13:1850,548-26
22 Oct 2026, 09:5150,574-28
21 Oct 2026, 04:1050,602first reading

Engagement

221 posts held, back to 28 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 195 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.5%
avg views ÷ 50,211 subscribers
Avg views / post
5,790
59 posts measured
Reaction rate
1.79%
reactions ÷ views · ER floor
Posts in window
59
of 221 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 held221 (28 July 2026 – 11 November 2026)
Views total341,780
Reactions total6,134
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 00:39 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

Photos
≈2,230
Videos
≈95
Links
≈2,250

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 52s
Average length
22s

Measured directly from 5 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

25,041 reactions across 221 posts, in 9 distinct kinds. The most used accounts for 41.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10,30541.2%
👍3,84815.4%
😱2,55410.2%
😢2,1648.64%
🔥1,9397.74%
⚡1,4255.69%
👎1,1994.79%
🤯1,1304.51%
😇4771.90%

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 221 of the 221 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 25,041 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 221 most recent posts we hold, published 28 July 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.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
3
of 221 we hold a reading for · 1%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @buzzhistory. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 221 most recent posts we hold for this entry, published 28 July 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 59 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, 19:00 UTC≈1,270 views25 reactionsread 12 November 2026
Video

Two of the greatest tennis players of all time, Pete Sampras & Andre Agassi, in a 1995 Nike commercial Buzz 📔 History

⚡16❤7🔥1😇1

11 Nov 2026, 08:00 UTC≈2,580 views46 reactionsread 12 November 2026
Video

Tennis in the 1930s Tennis in the 1930s was an elegant and popular sport that attracted the attention of both players and spectators. This era was characterized by style, nobility, and a high level of athletic skill. Buzz 📔 History

😇24👍12❤6😱3🔥1

10 Nov 2026, 19:00 UTC≈3,180 views87 reactionsread 12 November 2026
Video

Iris agate - a stone with a rainbow inside... It's simply an incredible sight! Do you agree with this? 👍/👎 Buzz 📔 History

👍54❤27😇3⚡1👎1🔥1

10 Nov 2026, 08:00 UTC≈3,680 views95 reactionsread 12 November 2026
Photo

A real-life cheater. OWEN BAGGETT — the pilot who shot down an enemy plane with a pistol... By shooting the enemy pilot in the head... While parachuting through the air... Buzz 📔 History

😱64🔥20❤4⚡3👍2😢2

9 Nov 2026, 19:00 UTC≈3,920 views85 reactionsread 12 November 2026
Photo

A chess match in winter. USSR, 1960s. If you enjoyed this post, put ❤️ Buzz 📔 History

❤72👎6👍4⚡2🔥1

9 Nov 2026, 08:00 UTC≈4,150 views98 reactionsread 12 November 2026
Photo

The only photograph of Chief Seattle, after whom the city of Seattle was named, 1865. Buzz 📔 History

❤73🔥16👍6😢3

8 Nov 2026, 19:00 UTC≈4,370 views164 reactionsread 12 November 2026
Photo

Do you think emoji are necessary? 👍/👎 Buzz 📔 History

👍140❤11🔥7👎6

8 Nov 2026, 08:00 UTC≈4,930 views81 reactionsread 12 November 2026
Photo

The phone weighed 1.15 kilograms, had no functions, its battery lasted 8 hours in standby mode and 20 minutes in talk mode, and it took 10 hours to charge the battery. 📔 Buzz History

👍57🤯18❤5🔥1

7 Nov 2026, 19:00 UTC≈4,910 views71 reactionsread 12 November 2026
Photo

Elizabeth Taylor was the first actress to receive a fee of 1 million dollars for a role — specifically for her portrayal of Cleopatra in the 1963 film Cleopatra. This was an unprecedented fee for an actress at the time and caused a huge stir in Hollywood. Buzz 📔 History

❤55👍7🤯4😇4🔥1

7 Nov 2026, 08:00 UTC≈5,210 views72 reactionsread 12 November 2026
Photo

🪢 In 1915, a steam locomotive was ferried across the Rio Grande River using a cable system in the state of New Mexico. 📔 Buzz History

❤50😱17👍4🔥1

6 Nov 2026, 19:00 UTC≈5,110 views89 reactionsread 12 November 2026
Photo

Horse Diving – a popular show during which a rider and a horse jumped from a height of 18 meters, 1969. Buzz 📔 History

👎54❤16🤯10👍4😱4🔥1

6 Nov 2026, 08:00 UTC≈5,390 views257 reactionsread 12 November 2026
Photo

Monica Bellucci, 1990s. If you want to see more old photos of celebrities, put 🔥 Buzz 📔 History

🔥219❤24👎11😇2😢1

Showing the 12 most recent of 221 posts we hold for @buzzhistory. 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.

Mentions

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 — 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.

GENERAL KNOWLEDGE ™ 💡
@General_KnowledgeTM · 68,659
#1
Before Our Time
@BeforeOurTime · 90,297
#2
Time Machine
@whichtimes · 17,917
#3
Weird Facts 🧠
@weird_facts_TM · 55,560
#4
Buzz 💬 Quotes
@buzzquotes · 27,060
#5
Now I Know 👌
@inowknow · 17,040
#6
PSYCHO W🌍RLD ®
@Psycho_Motivations · 109,199
#7
Xavier replies 😂🤣
@xavierzone · 63,122
#8
Relatable Memes ™
@Relatable_meme · 36,304
#9
Real ⚡️News | USA, EUROPE, WORLD WAR
@waitfornewses · 6,281
#10
Interesting facts
@intfactsen · 22,670
#11
Learn Everyday | Facts
@LearnEvery_Day · 47,813
#12
Everything Science
@everything_science · 31,770
#13
LIFE TIPS
@the_life_tips · 113,475
#14
DID U KNOW️⁉️
@diduknow0 · 34,322
#15
Wonderful World
@tgwondworld · 3,915
#16
Infinity ∞ Thoughts
@feelingsworldx · 90,500
#17
Amazing Facts Chest
@yorserialls · 10,204
#18
Hi-Tech Daily News
@hitechdailynews · 16,177
#19
FACTS | PSYCHOLOGY🧠
@facts_crypto · 38,082
#20
Midnight Thoughts
@Bi_Amde · 88,055
#21
INSPIRATION TIPS™
@InspirationTipsTM · 77,941
#22
Tips&Tricks👌
@tipsforgood · 20,084
#23
Quotes ― motivational quotes 💭
@mqquotes · 98,956
#24
Breathtaking Technologies
@softwareninja · 12,892
#25
High IQ Memes
@HighIQMemes · 24,415
#26
Mysteries of our planet
@Mysteriesofourplanet · 5,400
#27
𝐒𝐞𝐫𝐞𝐧𝐢𝐭𝐲 + 𝐖𝐞𝐚𝐥𝐭𝐡™
@SerenityWealth · 66,862
#28
Troll Football
@Troll_Football_Telegram · 143,824
#29
Shocking Facts®
@ShockingFact · 34,232
#30
Science and facts
@tgscience_facts · 34,235
#31
Psychology Todays
@Psycho_Todays · 44,271
#32
Geography and History Facts
@geographyandhistorfacts · 7,245
#33
Impression | Money | Life Lesson 💼
@ImpressionMoney · 51,397
#34
MEN MONEY MINDSET 📚💼
@Men_Money_Mindset · 67,587
#35
Feelings ― Soul Lines
@Myfeelings_TM · 82,992
#36
Did you know?
@did_you_know_mystery · 27,982
#37
Physics on fingers
@Physicsonfingers · 15,669
#38
A moment before...
@a_moment_before · 53,347
#39
Animals First 🐒🦒🦆
@animals_first · 9,681
#40
Tomorrow Technology
@TheTomorrowTechnology · 9,290
#41
Technology Prime ⚙️
@my_technology_prime · 4,223
#42
Funny Videos | Viral Clips | Humor
@funny_videos_memes_clips_kaotic · 86,811
#43
Why?
@why_eng · 18,896
#44
Wow!
@wowwvd · 34,955
#45
Meet ChatGPT!
@meet_chatgpt · 17,957
#46
Fact & Facts
@fact_n_facts · 1,828
#47
Funny Gate
@funnygate · 4,285
#48
Science4all - Best Scientific Channel
@scientific · 10,396
#49
the Facts
@mind_tg · 11,120
#50
°•ᴍᴏᴏɴ•°
@psyco_z · 49,103
#51
Business Lessons™
@Business_Idea4 · 39,227
#52
Informative insights
@usefufacts · 2,554
#53
Science Flix ⚛️
@scienceflix · 2,890
#54
HUMOR NEWS 🔞 | Telegy
@telegy_humor · 7,427
#55
Crazy Moments USA
@Crazy_Moments_USA · 84,976
#56
Wholesome Memes ™
@Wholesome_Meme_TM · 49,592
#57
UnFiltered Humour
@UnFilteredHumour · 42,272
#58
🎙sᴀʀᴄᴀsᴛɪᴄ ᴍᴇᴍᴇs™
@sarcastticmemes · 45,561
#59
Be Like Bro
@updateee · 41,429
#60
Best Funny Videos 😂
@memes_comedy · 230,728
#61
Meme kingdom™
@MemekingdomTM · 45,020
#62
Earth Curated 🌎
@earthcurated · 27,782
#63
Earth, Galaxy, Universe
@ourearthgalaxy · 11,380
#64
The Art Vault
@painting · 40,907
#65
Billionaire's Mindset 💰
@BillionairesTM · 47,586
#66
PROFILE PICTURES
@special_pictures_TM · 82,427
#67
Traveller
@yourtraveller · 11,675
#68
Futurism
@aipost · 7,141
#69
Politically Incorrect
@politicallyincorrectjokes · 58,546
#70
Inspiration Attitude
@rich_motivational_quotes · 70,611
#71
Funny Videos
@Funny_Videos_Comedy_Crazy_Gifs · 40,191
#72
Wallpapers | Motivation | ₿usiness Tips…🚀
@special_pictures · 72,098
#73
Memes
@bestmemes · 103,363
#74
Gems of Replies
@GemsOf_Replies · 10,998
#75
TIKVAH-ETHIOPIA
@tikvahethiopia · 1,621,097
#76
iPapkorn
@iPapkorn · 1,818,239
#77
Nuclear Memes
@Nuclear_Memes · 19,563
#78
Hindi Memes
@Hindi_Jokes_Desi_Memes · 36,392
#79
Sky Sports
@Sky_sports_football_updates · 26
#80
Chat GPT | AI News
@ChatGPTAI_Tools · 16,503
#81
ENJOI | VIDEOS
@jokesj · 20,809
#82
Memes™
@memes_room · 25,430
#83

Read from Telegram’s recommendation API, most recently 24 August 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.

Old & History Photos
@Old_History_Photos · 34,422
Telegram ranks this channel #2 of 61 here — alongside 60 others — read 1 September 2026
@TvShows
@tvshows · 44,310
Telegram ranks this channel #2 of 23 here — alongside 22 others — read 27 August 2026
GENERAL KNOWLEDGE ™ 💡
@General_KnowledgeTM · 68,659
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 20 August 2026
Growing Football
@GROWINGFOOT · 66,079
Telegram ranks this channel #4 of 22 here — alongside 21 others — read 15 August 2026
SportLife - Sport News
@sportlife · 24,792
Telegram ranks this channel #7 of 68 here — alongside 67 others — read 14 September 2026
Young Millionaire's 💰
@billionairesmotivation · 34,868
Telegram ranks this channel #7 of 50 here — alongside 49 others — read 1 September 2026
BuZZ 📚History
@Movies_2023_Netflix · 23,259
Telegram ranks this channel #8 of 31 here — alongside 30 others — read 16 September 2026
Crypto Daily News
@crpt_arb · 18,513
Telegram ranks this channel #9 of 26 here — alongside 25 others — read 2 October 2026
SiG TIPS
@sig8818182882 · 18,114
Telegram ranks this channel #9 of 29 here — alongside 28 others — read 7 September 2026
Crypto Ocean
@HDToday_Movies · 41,149
Telegram ranks this channel #13 of 35 here — alongside 34 others — read 28 August 2026
Humor, Jokes and memes
@HumorDEU · 24,275
Telegram ranks this channel #14 of 64 here — alongside 63 others — read 16 September 2026
PC GAMES NEWS
@Pc_Games6 · 124,033
Telegram ranks this channel #14 of 23 here — alongside 22 others — read 19 August 2026
The Art Vault
@painting · 40,907
Telegram ranks this channel #15 of 85 here — alongside 84 others — read 29 August 2026
Be Like Bro
@updateee · 41,429
Telegram ranks this channel #15 of 60 here — alongside 59 others — read 29 August 2026
Daily US News
@daily_news_american · 20,203
Telegram ranks this channel #16 of 68 here — alongside 67 others — read 28 September 2026
Tech, Science & Innovation
@Tech_Science_Innovation · 36,739
Telegram ranks this channel #17 of 76 here — alongside 75 others — read 31 August 2026
MP CRYPTO NEWS
@MPCryptoNews · 74,279
Telegram ranks this channel #17 of 29 here — alongside 28 others — read 19 August 2026
Books Hub: Free Ebook & Audiobook
@bookshub25 · 274,978
Telegram ranks this channel #18 of 64 here — alongside 63 others — read 12 August 2026
Buzz 💬 Quotes
@buzzquotes · 27,060
Telegram ranks this channel #19 of 63 here — alongside 62 others — read 10 September 2026
Facts Junkies™̶
@FACTSJUNKIES · 35,174
Telegram ranks this channel #19 of 55 here — alongside 54 others — read 1 September 2026
Give All the Heart
@givealltheheart · 22,034
Telegram ranks this channel #20 of 68 here — alongside 67 others — read 25 September 2026
Everything Science
@everything_science · 31,770
Telegram ranks this channel #21 of 55 here — alongside 54 others — read 5 September 2026
🔥EzPzBot | EzCinema
@EzCinema · 203,287
Telegram ranks this channel #21 of 48 here — alongside 47 others — read 11 August 2026
Why?
@why_eng · 18,896
Telegram ranks this channel #23 of 75 here — alongside 74 others — read 4 October 2026

This channel appears in 185 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Buzz 📚 History” (@buzzhistory), 50,211 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/buzzhistory.

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.