Telegram RegisterThe public register of Telegram

Channel

Nation Geographic

@NationGeographic

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

327,695subscribers

-345 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1001456010768
TypeChannel
Username@NationGeographic
DescriptionВесь мир как на ладони Сотрудничество: @PRinfo, @BLACKhisto1 @swaymedia № 5024086757 Мы на бирже: https://telega.in/c/NationGeographic
Created22 July 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/NationGeographic

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 8 August 2026 and assigned it the closest of 31 fixed categories, at 43% 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.

Growth

327,695328,040327,867.56 August 2026 — 328,040 subscribers6 August 2026 — 328,003 subscribers7 August 2026 — 327,931 subscribers8 August 2026 — 327,899 subscribers9 August 2026 — 327,858 subscribers10 August 2026 — 327,814 subscribers11 August 2026 — 327,765 subscribers12 August 2026 — 327,695 subscribers6 August 202612 August 2026
8 measurements spanning 7 days, net -345. 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 327,643–328,092 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:43327,695-70
11 Aug 2026, 16:47327,765-49
10 Aug 2026, 16:04327,814-44
9 Aug 2026, 15:31327,858-41
8 Aug 2026, 14:43327,899-32
7 Aug 2026, 15:40327,931-72
6 Aug 2026, 18:22328,003-37
6 Aug 2026, 02:34328,040first reading

Engagement

37 posts held, back to 3 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 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.02%
avg views ÷ 327,695 subscribers
Avg views / post
26,300
37 posts measured
Reaction rate
2.79%
reactions ÷ views · ER floor
Posts in window
37
of 37 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 12 August 2026
Posts held37 (3 August 202612 August 2026)
Views total972,730
Reactions total27,107
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 20:10 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
3,870
Videos
6,410
Links
8,880

Lifetime counters from Telegram’s own channel header, read 12 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
14m 08s
Average length
31s

Measured directly from 27 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

27,107 reactions across 37 posts, in 17 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁6,78725.0%
6,24923.1%
🥰3,31412.2%
👍2,93210.8%
👀2,2468.29%
🤩1,9847.32%
🔥9593.54%
🕊9003.32%
🙉7742.86%
👏3181.17%
🐳2821.04%
💋1140.421%
😍1140.421%
730.269%
🍓450.166%
🎄90.033%
🎅70.026%

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 37 of the 37 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 27,107reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 3 August 2026 to 12 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
2
across the posts below
Posts paid on
2
of 37 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @NationGeographic. 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 37 most recent posts we hold for this entry, published 3 August 2026 to 12 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

12 Aug 2026, 18:57 UTC≈5,780 views241 reactionsread 12 August 2026
Video

Когда забыл места своих многочисленных тайников с орешками и прочими припасами. Nation Geographic

😁113🥰8526👍7🤩5🍓2🙉2🐳1

12 Aug 2026, 15:17 UTC≈13,900 views819 reactionsread 12 August 2026
Video

Встретились как-то два самых жестоких и беспощадных хищника.. Коты они и в Африке коты. Nation Geographic

🥰388😁235122👍38🔥25🤩53🍓2

12 Aug 2026, 12:47 UTC≈16,300 views61 reactionsread 12 August 2026

Posted without readable text

😁429🐳5🕊3👀2

12 Aug 2026, 08:13 UTC≈18,200 views539 reactionsread 12 August 2026
Video

Водопад Хавасу в Аризоне Живой мираж, затерянный среди раскаленных скал Гранд-Каньона. Nation Geographic

280🤩130👍88🔥21🍓7🥰5👀42

12 Aug 2026, 07:27 UTC≈18,400 views50 reactionsread 12 August 2026

Posted without readable text

😁287🙉7🐳5👀2👍1

12 Aug 2026, 05:07 UTC≈19,800 views718 reactionsread 12 August 2026
Video

Доброе утро середины недели, друзья! Nation Geographic

🥰434142😁76👍48😍12🍓4🎅1💋1

11 Aug 2026, 18:09 UTC≈23,900 views1,140 reactionsread 12 August 2026
Video

Белый медведь Момота из зоопарка в префектуре Акита обрёл популярность благодаря своей любви к дорожным конусам Он регулярно надевает их себе на голову и ходит по вольеру. Только вот мама не разделяет его увлечение и регулярно снимает конусы. Nation Geographic

😁778190🤩58🥰50👍21👏16💋9🔥7

11 Aug 2026, 17:39 UTC≈21,500 views56 reactionsread 12 August 2026

Posted without readable text

😁2311🙉11🐳5👀3🎅2👏1

11 Aug 2026, 10:10 UTC≈23,800 views796 reactionsread 12 August 2026
Video

Как собирают кору деревьев для создания винных пробок Вреда дереву это практически не приносит. За свою жизнь они могут полностью восстанавливать кору около 12 раз. Nation Geographic

👀405👏116👍98🙉9038🔥31😁6🤩5

11 Aug 2026, 07:48 UTC≈24,300 views910 reactionsread 12 August 2026
Video

Ничего необычного — просто рутинная миграция перекати-поля Таким нехитрым образом растение размножается. После цветения, побеги засыхают, отрываются от корней и отправляются в путешествие сеять своих детей по округе. Nation Geographic

🤩361😁238👍16153👀48🔥27🙉10👏7

11 Aug 2026, 07:37 UTC≈23,000 views44 reactionsread 12 August 2026

Posted without readable text

👍20😁1210🎅1🙉1

Showing the 12 most recent of 37 posts we hold for @NationGeographic. 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 — 20,616 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

Republished by

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

Толстый кот VS Аэрофлот
@tolstykotvsaeroflot · 60
10 posts
Свой домик в деревне
@svoj_domik_v_derevne · 242
5 posts
Ilmaz Daniyaluly
@ilmaz_daniyaluly · 7
3 posts
Место для шага в карьере
@nastasja_zvereva_coach · 111
3 posts
Алина Д.
@alinasayswhat · 122
2 posts
Поцелуй меня через забор
@boooldplants · 2,179
2 posts
ЭкоУспех
@ecosuccess · 52
2 posts
Истра. Новости
@istravseti · 755
2 posts
Вкус тарелки
@vkusnayatarelka · 82
2 posts
Abzal Temirbekuly📸
@abzalkaliyev · 13
1 post
БиоХим
@anna_markina_bio · 201
1 post
BAEMAR NEWS
@baemarnews · 7
1 post
KEMER_BELDIBI_LIFE
@Beldibi_life · 615
1 post
Проливая свет | Svetlana Cherevko
@changediary · 79
1 post
Константин Клименко
@ConstantinusKlimenko · 184
1 post
Надин Захарова • Женщина/Технологии •
@creativeproNadin · 1,816
1 post
ЭкоCommunity🍀
@eco_sustainable · 217
1 post
Эркин Алымбеков
@erkinalymbekov · 52
1 post
Z - ПРАВДА
@FSBCSN2022 · 1,582
1 post
Кира Сазонова
@kirasazonova · 16,710
1 post
Konstantin Klimenko
@KonstantinKlimenko2026 · 7,605
1 post
Smart Forest ♻️
@lifehackhelp · 51
1 post
☀️Анна Бекетова. Деловой консультант, психолог, педагог
@mngt_911 · 232
1 post
New Quality Managment - Past or Future
@new_quality · 39
1 post
проЯвляюсь…
@obovsem28 · 55
1 post
Outside the box
@out_of_box · 38
1 post
ЧУРАПЧА Live
@sanaoloh · 4,156
1 post
Утра доброго! Дня прекрасного! 🤓💥
@shiningmorning · 2,059
1 post
Скурихина: Астрология
@skelena777 · 120
1 post
SVERIDOVA style
@sveridovastylife · 92
1 post
Интересное на десерт 🧁
@TheBestForDessert · 225
1 post
Шесть месяцев красоты
@wintergardenlessons · 354
1 post
XU aka XU
@xu_danc3 · 62
1 post
Детская йога
@yoga_deti · 20
1 post
Zаветный вензель
@zavetny_venzel · 7
1 post
❕Злата❕🪩
@Zlata125697 · 24
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 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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.

Лепра
@Lepragram · 342,561
#1
Reddit
@Reddit · 163,388
#2
Эксплойт
@exploitex · 2,057,246
#3
r/ретранслятор
@retra · 165,443
#4
MDK
@mudak · 539,588
#5
NEXTA Live
@nexta_live · 762,100
#6
Mash
@mash · 3,112,068
#7
Раньше всех. Ну почти.
@bbbreaking · 1,972,542
#8
Новости Москвы
@moscowmap · 2,723,573
#9
НЕВЗОРОВ
@nevzorovtv · 1,008,244
#10
Анатолий Шарий
@asupersharij · 1,655,013
#11
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,682,871
#12
ЮЛИЯ МЕНЬШОВА
@JuliaMenshovaJulia · 361,530
#13
КОНТЕКСТ
@kontext_channel · 830,460
#14
Ирена Понарошку
@irena_ponaroshku · 284,694
#15
Медуза — LIVE
@meduzalive · 1,114,880
#16
Кровавая барыня
@bloodysx · 1,151,837
#17
Стрелец-Молодец
@strelets_molodec · 360,016
#18
Осторожно, новости
@ostorozhno_novosti · 1,609,261
#19
Двач
@dvachannel · 938,558
#20
ЕЖ
@ejdailyru · 644,396
#21
Ateo Breaking
@ateobreaking · 646,333
#22
Москвач • Новости Москвы
@moscowach · 4,225,732
#23
Дудь
@yurydud · 842,213
#24
Банкста
@banksta · 437,556
#25
Сталингулаг
@stalin_gulag · 302,871
#26
Readovka
@readovkanews · 2,014,818
#27
РБК. Новости. Главное
@rbc_news · 901,569
#28
Артемий Лебедев
@temalebedev · 972,194
#29
Пикабу
@pikabu · 256,983
#30
Прямой Эфир • Новости
@novosti_efir · 4,033,927
#31
Пул N3
@dimsmirnov175 · 324,014
#32
BBC News | Русская служба
@bbcrussian · 388,515
#33
Операция Z: Военкоры Русской Весны
@rvvoenkor · 1,464,054
#34
Пездуза
@pezduzalive · 375,515
#35
Лентач
@lentachold · 382,623
#36
НЕБОЖЕНА
@imnotbozhena · 503,849
#37
Москва 24
@infomoscow24 · 488,862
#38
Дмитрий Медведев
@medvedev_telegram · 1,717,717
#39
Tynu40k Goblina (oper.ru)
@oper_goblin · 497,493
#40
ЖЮ 🧡 Videos
@lifeyt · 332,273
#41
МИГ России
@mig41 · 476,496
#42
Банки, деньги, два офшора
@bankrollo · 450,998
#43
Город Глуповъ
@gorodglupov · 158,386
#44
aavst2022
@aavst2022 · 177,308
#45
Ньюсач/Двач
@ru2ch · 638,608
#46
Rozetked
@rozetked · 667,596
#47
Легитимный
@legitimniy · 1,016,832
#48
Собакен
@sobaki_pesik_sobaka · 477,945
#49
WarGonzo
@wargonzo · 749,784
#50
Бэкдор
@whackdoor · 1,654,052
#51
Лентач
@oldlentach · 263,472
#52
КБ
@cbpub · 637,809
#53
Forbes Russia
@forbesrussia · 235,056
#54
Алексей Пивоваров
@Alexey_Pivo_varov · 307,573
#55
Илья Яшин
@yashin_russia · 139,200
#56
Коммерсантъ
@kommersant · 289,633
#57
Kotsnews
@sashakots · 476,342
#58
Сегодня в тренде
@trends · 1,114,868
#59
Пекарня
@pekagame · 1,101,545
#60
Black History
@Black_History · 94,432
#61
Дождь | Новости
@tvrain · 442,045
#62
НЕЗЫГАРЬ
@russicaru · 418,913
#63
Код.ру
@d_code · 381,029
#64
кабачковая икра по акции
@sale_caviar · 193,079
#65
шерстяные проказники • коты
@koshkii_kotiki · 343,888
#66
Yaplakal.com
@yaplakal · 423,658
#67
Baza
@bazabazon · 1,543,278
#68
Varlamov News
@varlamov_news · 1,052,405
#69
Лука Ебков
@luka_ebkov · 429,384
#70
SHOT
@shot_shot · 1,261,290
#71
Антиглянец
@sncmag · 301,837
#72
твиттота
@twitt_ota · 335,844
#73
Colonelcassad
@boris_rozhin · 743,768
#74
Fighterbomber
@bomber_fighter · 519,456
#75
Только никому...
@spletni_tg · 188,787
#76
Резидент
@rezident_ua · 883,011
#77
СОЛОВЬЁВ
@solovievlive · 1,099,099
#78
Сергей Минаев
@minaevlife · 319,478
#79
Старше Эдды
@vysokygovorit · 490,102
#80
Ватное болото
@vatnoeboloto · 386,025
#81
ТАСС
@tass_agency · 567,762
#82
Кинопоиск | Фильмы, сериалы, аниме и спорт
@kinopoisk · 815,499
#83
СОБЧАК
@ksbchk · 373,766
#84
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,096,087
#85
Алеся Петровна
@alesiapetrovna · 140,856
#86
Сладков+
@sladkov_plus · 700,975
#87
Поддубный |Z|О|V| edition
@epoddubny · 573,409
#88
Екатерина Шульман
@eschulmann · 306,735
#89
Осторожно, Москва
@ostorozhno_moskva · 389,666
#90
Kadyrov_95
@rkadyrov_95 · 2,108,479
#91
Минобороны России
@mod_russia · 631,789
#92
Старая Москва
@old_Moscow · 134,329
#93

Read from Telegram’s recommendation API, most recently 10 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.

National Geograph1c
@national_geograph1c · 171,534
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 12 August 2026
Удивительный Мир 🏝
@travelmir_tg · 168,354
Telegram ranks this channel #2 of 74 here — alongside 73 others — read 12 August 2026
Наука и факты
@FactTG · 206,035
Telegram ranks this channel #8 of 87 here — alongside 86 others — read 11 August 2026
Уютная Россия | Путешествия
@travel_yutturizm · 150,437
Telegram ranks this channel #13 of 88 here — alongside 87 others — read 12 August 2026
ARTерия | Искусство
@kartiny_arteriart · 163,685
Telegram ranks this channel #24 of 85 here — alongside 84 others — read 12 August 2026
Тут картины показываем
@artgallery · 196,566
Telegram ranks this channel #25 of 97 here — alongside 96 others — read 11 August 2026
Ещё главу и спать | Литература
@knigi_literatura · 263,675
Telegram ranks this channel #25 of 92 here — alongside 91 others — read 10 August 2026
Грамотная речь | Саморазвитие
@gramotnaya_rech · 175,198
Telegram ranks this channel #28 of 86 here — alongside 85 others — read 12 August 2026
Простая Рыбалка🐟
@ribalka_prostaya · 153,148
Telegram ranks this channel #30 of 81 here — alongside 80 others — read 12 August 2026
ЮЛИЯ МЕНЬШОВА
@JuliaMenshovaJulia · 361,530
Telegram ranks this channel #36 of 91 here — alongside 90 others — read 10 August 2026
Excel Hacks | Бухгалтерия и Аналитика
@hacks_excel · 284,947
Telegram ranks this channel #38 of 85 here — alongside 84 others — read 10 August 2026
Собакен
@sobaki_pesik_sobaka · 477,945
Telegram ranks this channel #38 of 91 here — alongside 90 others — read 10 August 2026
Математик Андрей
@matematik_andrei_channel · 991,823
Telegram ranks this channel #39 of 92 here — alongside 91 others — read 10 August 2026
Stretch | Растяжка | Шпагат
@StretchLab · 155,391
Telegram ranks this channel #47 of 90 here — alongside 89 others — read 12 August 2026
Книжное братство
@flibusta · 164,118
Telegram ranks this channel #49 of 94 here — alongside 93 others — read 12 August 2026
Это интересно!
@very_interesno · 173,487
Telegram ranks this channel #55 of 85 here — alongside 84 others — read 12 August 2026
Быстрые рецепты
@Fastrecepts · 233,268
Telegram ranks this channel #58 of 73 here — alongside 72 others — read 11 August 2026
Ирена Понарошку
@irena_ponaroshku · 284,694
Telegram ranks this channel #58 of 88 here — alongside 87 others — read 10 August 2026
Будем здоровы
@bzdorov · 444,479
Telegram ranks this channel #59 of 84 here — alongside 83 others — read 10 August 2026
Бесплатное образование
@free_edu · 311,069
Telegram ranks this channel #63 of 95 here — alongside 94 others — read 10 August 2026
ЖЮ 🧡 Videos
@lifeyt · 332,273
Telegram ranks this channel #67 of 91 here — alongside 90 others — read 10 August 2026
Дизайн и ремонт | Интерьерные решения
@decor_journal · 279,007
Telegram ranks this channel #68 of 80 here — alongside 79 others — read 10 August 2026
Моя страна - Россия! | Путешествия
@moyarossia · 163,196
Telegram ranks this channel #70 of 90 here — alongside 89 others — read 12 August 2026
Жизнь в дневниках
@tsitaty_dnevniki_stikhi · 166,018
Telegram ranks this channel #78 of 86 here — alongside 85 others — read 12 August 2026

This channel appears in 27 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Nation Geographic” (@NationGeographic), 327,695 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/NationGeographic.

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.