Telegram RegisterThe public register of Telegram
Telegram profile photo for HISTORY

Channel

HISTORY

@secret_history2

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

69,925subscribers

-165 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001857708523
TypeChannel
Username@secret_history2
DescriptionProbability of accidentally finding this channel = 0.00000239% Open to cooperation and calaborations. @Davidj3
Created18 April 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/secret_history2

Topic

Health & wellness — 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 71% 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 why it has no browse page of its own yet.

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 word for word on 1 other registered channel. 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
@secret_history2/8179 · this entry3 Aug 2026, 12:00 UTC@just_historyy/32173 Aug 2026, 12:10 UTC1.0010 minutes
@secret_history2/8185 · this entry4 Aug 2026, 18:00 UTC@just_historyy/32234 Aug 2026, 18:16 UTC1.0016 minutes
@secret_history2/8191 · this entry5 Aug 2026, 22:00 UTC@just_historyy/32295 Aug 2026, 22:06 UTC1.007 minutes
@secret_history2/8192 · this entry6 Aug 2026, 00:00 UTC@just_historyy/32306 Aug 2026, 00:10 UTC1.0010 minutes
@secret_history2/8193 · this entry6 Aug 2026, 12:00 UTC@just_historyy/32316 Aug 2026, 12:01 UTC1.00under a minute
@secret_history2/8196 · this entry6 Aug 2026, 22:00 UTC@just_historyy/32346 Aug 2026, 22:06 UTC1.006 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@just_historyy7 (7/7 hand-verifiable sample passed)1.005 minutesthis entry (70)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 2 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @secret_history2 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

69,92570,09070,007.56 August 2026 — 70,090 subscribers6 August 2026 — 70,090 subscribers6 August 2026 — 70,087 subscribers7 August 2026 — 70,073 subscribers8 August 2026 — 70,060 subscribers9 August 2026 — 70,046 subscribers10 August 2026 — 70,022 subscribers12 August 2026 — 70,008 subscribers13 August 2026 — 69,976 subscribers15 August 2026 — 69,934 subscribers16 August 2026 — 69,925 subscribers6 August 202616 August 2026
11 measurements spanning 11 days, net -165. 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 69,900–70,115 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 19:2969,925-9
15 Aug 2026, 04:4969,934-42
13 Aug 2026, 17:5669,976-32
12 Aug 2026, 14:4770,008-14
10 Aug 2026, 14:3270,022-24
9 Aug 2026, 17:5170,046-14
8 Aug 2026, 18:2870,060-13
7 Aug 2026, 16:5070,073-14
6 Aug 2026, 20:1170,087-3
6 Aug 2026, 06:3070,090no change
6 Aug 2026, 06:2370,090first reading

Engagement

71 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 25 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.29%
avg views ÷ 69,925 subscribers
Avg views / post
5,800
71 posts measured
Reaction rate
1.67%
reactions ÷ views · ER floor
Posts in window
71
of 71 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 17 August 2026
Posts held71 (2 August 202617 August 2026)
Views total411,510
Reactions total6,869
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 10:50 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
2,470
Videos
5,040
Links
6,310

Lifetime counters from Telegram’s own channel header, read 17 August 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
1h 54m
Average length
2m 20s

Measured directly from 49 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

6,238 reactions across 65 posts, in 24 distinct kinds. The most used accounts for 23.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,44423.1%
💯1,15018.4%
🤬1,05316.9%
👍99716.0%
🔥3505.61%
👏3205.13%
🤔2143.43%
🙏1682.69%
😁1051.68%
🥰1001.60%
🤯590.946%
🌚370.593%
👌350.561%
😭310.497%
🥱310.497%
😱270.433%
😨250.401%
🤨220.353%
🎃210.337%
180.289%
4 further kinds310.497%

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 71 of the 71 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 6,869reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 71 most recent posts we hold, published 2 August 2026 to 17 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.

Telegram Stars

Stars received
4
across the posts below
Posts paid on
4
of 71 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @secret_history2. 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 71 most recent posts we hold for this entry, published 2 August 2026 to 17 August 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

17 Aug 2026, 00:02 UTC≈2,280 views33 reactionsread 17 August 2026
Video

Nikola Tesla: "The Spirit of God is Not What You Think" (full explanation) Join us: t.me/HISTORY 📜

18👍6🤨4🤬3💯1🥱1

16 Aug 2026, 22:00 UTC≈2,670 views49 reactionsread 17 August 2026
Photo

TELEPATHY IS REAL "Telepathy is not a voice in the head. Telepathy is the alignment of frequencies between two souls, in order to communicate with each other. Telepathy is soul technology.” “Particularly between people with emotional, vibrational and energetic connections. Pay attention to the times you think of someone and they call, text, or show up. Or you wake up in the middle of the night with an eerie feeling a

💯34🤔86👍1

16 Aug 2026, 18:00 UTC≈3,140 views68 reactionsread 17 August 2026
Video

I believe some of these lighthouses were absolutely old airship mooring stations. This was the beauty of airships, able to reach the most remote regions in the world great for cargo delivery and exploration, even in the arctic regions! Join us: t.me/HISTORY 📜

👏43💯12👍7🤔31🎃1🥱1

16 Aug 2026, 12:00 UTC≈4,710 views88 reactionsread 17 August 2026
Video

One of the big reasons for the altered skies in photos of our past are because of airships and other aircraft. Long before the Wright brothers first airplane these dominated the skies. Join us: t.me/HISTORY 📜

👍54💯1612🤔6

16 Aug 2026, 00:01 UTC≈6,010 views74 reactionsread 17 August 2026
Photo

Last year, Apple patented an AirPod capable of detecting electrical signals from brain activity & extracting features ❌ Biosignal Sensing Device Using Dynamic Selection of Electrodes https://patents.google.com/patent/US20230225659A1/en STOP USING the WIRELESS PODS Many people have really bad headaches, intense migraines. Much of this reason is from radiation Join us: t.me/HISTORY 📜

👍49💯139🤯3

15 Aug 2026, 22:28 UTC≈4,630 views100 reactionsread 17 August 2026
Video

HIS MAP WAS PRINTED IN 1771. Look at it carefully. Right across the center of Asia, in letters larger than China, larger than India, larger than Russia — one word: TARTARIE. This is from the Encyclopaedia Britannica. First edition. 1771. Not some conspiracy website. The most respected encyclopedia in the English-speaking world. Tartaria was described as: “The greatest empire that ever existed on Earth.” It stre

💯6326👍10🌚1

15 Aug 2026, 16:00 UTC≈6,430 views148 reactionsread 17 August 2026
Video

Google plans to release 64 million Wolbachia bacteria infected mosquitoes across Florida and California. Join us: t.me/HISTORY 📜

🤬119🔥11🤯74🤔4😱2👍1

15 Aug 2026, 12:00 UTC≈6,870 views112 reactionsread 17 August 2026
Video

A medical textbook from 1989 explains that coronavirus is, in fact, the common cold. Join us: t.me/HISTORY 📜

45👍39😁13💯9🔥6

15 Aug 2026, 00:00 UTC≈6,050 views74 reactionsread 17 August 2026
Video

Join us: t.me/HISTORY 📜

41🔥10🤯8😁6👍4🥱4😨1

14 Aug 2026, 22:00 UTC≈5,860 views69 reactionsread 17 August 2026
Video

96 Mega Data Centres planned for Canada. Join us: t.me/HISTORY 📜

🤬548🔥5😁1😱1

14 Aug 2026, 20:09 UTC≈4,040 views33 reactionsread 17 August 2026
Photo

Lisa (48) from Arizona had struggled with stubborn belly weight for years. She tried everything. Low-carb diets. Evening walks. Short home workouts she found online. But the results never lasted. Some weeks she would lose a little weight… and then gain it back just as quickly. What frustrated her the most was the constant bloating and the feeling that her metabolism had simply slowed down with age. One night wh

🤔1412🎃4🥱3

14 Aug 2026, 18:00 UTC≈6,070 views165 reactionsread 17 August 2026
Video

Smart feeders from a Swedish startup reward birds with grains when they bring trash like cigarette butts and bottle caps. Join us: t.me/HISTORY 📜

🥰85👏3731🤔6😁6

Showing the 12 most recent of 71 posts we hold for @secret_history2. 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.

Posts edited after publishing

@secret_history2 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 13,977 of 1,481,502entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

ShatteringTheMatrix
@ShatteringTheMatrix · 284
4 posts
GUARDIAN MQNKEY
@PATRIOTMQNKEY · 1,665
3 posts
The Source
@thenumber1source · 1
3 posts
Wahrheit oder Lüge
@WoderL · 594
3 posts
Awesome
@awesomehope · 51
2 posts
The Bards Turd
@BardsTurd · 149
2 posts
Bread Of Life
@breadoflifeorg · 139
2 posts
Gabrielle Brick - The Nourishment Code
@gabriellebrick · 121
2 posts
Geekydragon
@GeekyDragon · 46
2 posts
MWynnM
@MWynnM · 6
2 posts
Patriots United
@Patriotsunited78 · 27
2 posts
Percival's Beach
@PercivalsBeach · 6
2 posts
Awakening 🙏
@weawakening · 3
2 posts
Bearded_PatriotsUSA
@Bearded_PatriotsUSA · 12,717
1 post
💕BonnieNDavid💕
@BonnieNDavid · 1,715
1 post
Michael
@bracklynbogman · 40
1 post
Camgo05
@Camgo5 · 4
1 post
ᴄɪʀQᴜᴇ ᴅᴜ ʏᴀʟᴅᴀʙᴀᴏᴛʜ
@CirqueduYaldabaoth · 462
1 post
Conspiracy Theory
@conspiracy_theory3 · 47,591
1 post
NASA.Tierra. y Luna
@Cosmomentiras · 4,804
1 post
Covid_Fakten
@Covid_Fakten · 72
1 post
Covid-19 Developments
@covidsyd · 103
1 post
Crusty Old Nuke
@Crusty_Old_Nuke · 1
1 post
Daves Raves
@DavesRaves1 · 15
1 post
Black Patriot Chat
@Dk2Lt · 91
1 post
Astrid Stuckelberger PhD MSc
@Dr_Astrid_Stuckelberger · 24,219
1 post
Heinz der Ketzer
@drheinzreinwald · 196
1 post
Dr. Scott Young-END THE FED
@DrScottNESARA · 30,391
1 post
Gaia’s oneness
@gaiasoneness · 186
1 post
GUDU
@gudusososlobi · 44
1 post
Health and Truth
@healthandtruthni · 164
1 post
High Fat Carnivore
@highfatcarnivore · 68
1 post
MARK STEELE CHANNEL
@marksteele5g · 18,295
1 post
MindHisBusiness
@MindHisBusiness · 1
1 post
Our Eternal Prayer
@OurEternalPrayer · 45
1 post
Quantenphysik Holgramm Illusion
@Quantenphysik_Hologramm_Illusion · 686
1 post
Human Freedom
@r6ZiUeKgGjE3YWIx · 809
1 post
Real_Jason_Dean
@Real_Jason_Dean · 172
1 post
NATURAL HEALTH REMEDIES
@remedyofnature · 110
1 post
So it begins, THE AUSSIE REVOLUTION🔥👊
@soitbeginsvivalarevolution · 1,382
1 post
SPIRITUAL RENEWAL
@spiritual_renewal · 7,223
1 post
SpookdBlog Speaks: The Process of Disclosure
@SpookdSpeaksProcessofDisclosure · 880
1 post
From the pig farm🐷
@the_pig_farm · 7
1 post
The Peoples Quest for Truth News
@ThePeoplesQuestforTruthNews · 815
1 post
Sharing the Truth!!
@truthqest · 7
1 post
Truth Revealed
@truthrevealed12 · 55
1 post
Udo Fritz' Info-Parkplatz für mich und andere
@udoarschan · 31
1 post
🐸 Military veterans The FROGS OF WAR 😆
@Uk_patriotalliance · 225
1 post
UnEduCate Me
@UnEduCateMe · 30
1 post
South African Vaccination Education (SAVE)
@vaccinationeducation · 124
1 post
𝐖𝐞𝐬𝐚𝐟𝐢𝐧𝐚𝐝𝐨'𝐬 𝐌𝐲𝐬𝐭𝐞𝐫𝐲 𝐃𝐞𝐧
@Wesafinados_Den · 144
1 post
WRW: White Rabbit’s Way
@WhiteRabbitsWay · 144
1 post
Življenje in Svet Channel
@zivsvet · 138
1 post

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.

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.

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.

Cruel History
@cruel_historyy · 104,462
Telegram ranks this channel #1 of 74 here — alongside 73 others — read 15 August 2026
Before Our Time
@BeforeOurTime · 92,772
Telegram ranks this channel #3 of 74 here — alongside 73 others — read 17 August 2026
Tartaria & History Channel
@TartariaHistoryChannel · 120,909
Telegram ranks this channel #6 of 74 here — alongside 73 others — read 14 August 2026
The Awakened Species ☀️
@awakenedspecies · 143,181
Telegram ranks this channel #6 of 70 here — alongside 69 others — read 13 August 2026
LauraAboli
@LauraAbolichannel · 170,585
Telegram ranks this channel #15 of 77 here — alongside 76 others — read 12 August 2026
David Avocado Wolfe
@davidavocadowolfe · 104,602
Telegram ranks this channel #18 of 69 here — alongside 68 others — read 15 August 2026
Dirt Road Discussions
@DirtRoadDiscussion · 136,247
Telegram ranks this channel #26 of 61 here — alongside 60 others — read 13 August 2026
Barbara O'Neill
@BarbaraOneill_official · 109,548
Telegram ranks this channel #34 of 81 here — alongside 80 others — read 14 August 2026
Sergeant News Network 🇺🇸
@SGTnewsNetwork · 112,644
Telegram ranks this channel #42 of 78 here — alongside 77 others — read 14 August 2026
Dr. Tenpenny
@DrTenpenny · 90,522
Telegram ranks this channel #46 of 82 here — alongside 81 others — read 17 August 2026

This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“HISTORY” (@secret_history2), 69,925 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/secret_history2.

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.