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Telegram profile photo for Alex Parker Returns

Channel

Alex Parker Returns

@apwagner_real

On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

63,449subscribers

-254,159 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-1001641210338
TypeChannel
Username@apwagner_real
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 live23 October 2026
Measurements held47
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/apwagner_real

Topic

National news — 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 73% 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.

Previous handles

@apwagner_real was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@apwagner_official
held 7 August 2026 – 7 August 2026

Growth

1344,987172,4947 August 2026 — 317,608 subscribers7 August 2026 — 317,608 subscribers7 August 2026 — 316,858 subscribers8 August 2026 — 315,653 subscribers9 August 2026 — 314,713 subscribers10 August 2026 — 320,538 subscribers12 August 2026 — 319,055 subscribers13 August 2026 — 336,559 subscribers14 August 2026 — 344,987 subscribers15 August 2026 — 1 subscribers21 August 2026 — 240,853 subscribers21 August 2026 — 240,671 subscribers22 August 2026 — 206,973 subscribers24 August 2026 — 183,884 subscribers25 August 2026 — 160,520 subscribers26 August 2026 — 150,977 subscribers27 August 2026 — 150,291 subscribers28 August 2026 — 149,316 subscribers29 August 2026 — 148,235 subscribers30 August 2026 — 146,707 subscribers31 August 2026 — 142,341 subscribers1 September 2026 — 140,584 subscribers2 September 2026 — 139,252 subscribers3 September 2026 — 138,165 subscribers5 September 2026 — 136,628 subscribers8 September 2026 — 134,231 subscribers9 September 2026 — 2 subscribers11 September 2026 — 125,674 subscribers13 September 2026 — 104,920 subscribers14 September 2026 — 91,681 subscribers16 September 2026 — 90,153 subscribers16 September 2026 — 1 subscribers18 September 2026 — 89,769 subscribers25 September 2026 — 86,325 subscribers4 October 2026 — 78,109 subscribers8 October 2026 — 75,751 subscribers12 October 2026 — 73,961 subscribers14 October 2026 — 73,293 subscribers15 October 2026 — 73,029 subscribers16 October 2026 — 72,494 subscribers17 October 2026 — 72,225 subscribers18 October 2026 — 71,958 subscribers19 October 2026 — 70,918 subscribers20 October 2026 — 69,917 subscribers21 October 2026 — 68,235 subscribers22 October 2026 — 65,777 subscribers23 October 2026 — 63,449 subscribers63,4497 August 202623 October 2026
47 measurements spanning 77 days, net -254,159. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)SubscribersChange
23 Oct 2026, 19:5663,449-2,328
22 Oct 2026, 17:2865,777-2,458
21 Oct 2026, 13:3968,235-1,682
20 Oct 2026, 11:3469,917-1,001
19 Oct 2026, 09:2670,918-1,040
18 Oct 2026, 06:3071,958-267
17 Oct 2026, 06:0572,225-269
16 Oct 2026, 07:0472,494-535
15 Oct 2026, 09:3773,029-264
14 Oct 2026, 11:2973,293-668
12 Oct 2026, 21:4173,961-1,790
8 Oct 2026, 13:4175,751-2,358
4 Oct 2026, 01:4278,109-8,216
25 Sept 2026, 06:1986,325-3,444
18 Sept 2026, 23:5689,769+89,768
16 Sept 2026, 22:391-90,152
16 Sept 2026, 12:4090,153-1,528
14 Sept 2026, 19:2091,681-13,239
13 Sept 2026, 07:00104,920-20,754
11 Sept 2026, 09:37125,674first reading

Engagement

219 posts held, back to 5 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 141 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.35%
avg views ÷ 63,449 subscribers
Avg views / post
1,490
66 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
66
of 219 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 23 October 2026
Posts held219 (5 August 2026 – 23 October 2026)
Views total98,273
Reactions total1,997
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 17:55 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
54m 32s
Average length
34s

Measured directly from 96 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

21,373 reactions across 219 posts, in 55 distinct kinds. The most used accounts for 23.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣5,05823.7%
💩2,29110.7%
😁1,6347.65%
🤬1,3016.09%
🤮1,1835.54%
👎1,1555.40%
🔥1,0484.90%
😢8123.80%
❤7403.46%
👍7033.29%
💯5842.73%
🤡5802.71%
🖕4782.24%
🍌4732.21%
🎉4712.20%
😡3971.86%
💔2771.30%
😱2351.10%
🥰2171.02%
🥱2030.95%
35 further kinds1,5337.17%

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 219 of the 219 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 21,373 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 219 most recent posts we hold, published 5 August 2026 to 23 October 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

23 Oct 2026, 16:22 UTC199 views17 reactionsread 23 October 2026
Photo

Никакой гуманности. Просто гады.

⚡4😁4🍌1🍾1👍1👻1💯1🗿1

23 Oct 2026, 15:11 UTC291 views20 reactionsread 23 October 2026
Video

В Орле под ракетный удар попал завод «Протон-Электротекс». И это хорошо; я бы даже сказал, замечательно, что прилетело в завод, а не в НПЗ. Спасибо за это Трампу!

😁7🤬3👎2🔥2🍾1🎉1🤝1🤡1

22 Oct 2026, 07:44 UTC786 views13 reactionsread 23 October 2026

Дядя, ты что, обиделся на хохлов из-за того, что они радовались как твои братья вчера ушли в вечный полёт?

😁9💩1💯1🗿1🤡1

21 Oct 2026, 18:17 UTC928 views40 reactionsread 23 October 2026
Video

Ничего необычного, просто Кирилл Дмитриев пожимает руку и улыбается американскому наемнику Стивену Хаббарду, который воевал на стороне ВСУ и попал в российский плен.

🤣21🤬9🤡3🤝2❤1👻1🤷1😁1

21 Oct 2026, 17:01 UTC926 views23 reactionsread 23 October 2026
Photo

Кучно пошло. Это уже сколько железа за последний месяц - полтора с неба упало?

🔥16😢2🐳1👻1🤔1🤣1🤬1

20 Oct 2026, 04:13 UTC≈1,250 views23 reactionsread 23 October 2026
Video

Горит Никольская ЛПДС около Мичуринска. Трамп, введи войска.

🔥11🤬4❤2💯2😁2👍1🤷1

19 Oct 2026, 19:25 UTC≈1,240 views25 reactionsread 23 October 2026
Photo

В сети распространяются слухи о том, что Ким Чен Ын получил кровоизлияние в мозг и находится в коме в китайской больнице. Жаль, что это только слух о Киме, а не правда о рыжей обезьяне.

💯8😁8🤔2🤪2❤1👍1👻1🖕1

18 Oct 2026, 05:29 UTC≈1,690 views32 reactionsread 23 October 2026
Photo

Картина "Котик и Озон".

🔥13👍5😁4❤3🤬2😨2🍾1💩1

17 Oct 2026, 21:06 UTC≈1,590 views21 reactionsread 23 October 2026
Video

Дроны атакуют Москву уже третью ночь подряд, сбит 51 беспилотник — Собянин. Аэропорты Внуково и Домодедово снова закрыты.

😁10🍾6🔥3👻1🤬1

16 Oct 2026, 20:33 UTC≈1,780 views32 reactionsread 23 October 2026

Оспа обезьян обнаружена в Питере, 5 человек госпитализированы. Это уже второй случай в России за сутки. Вчера с этим вирусом госпитализировали 5 человек в Подмосковье. Чаще всего оспа обезьян передаётся через секс. Поздняков итоги.

😁12🤣9🍾3❤2😱2🍌1👍1💋1

16 Oct 2026, 16:29 UTC≈1,770 views38 reactionsread 23 October 2026
Video

Российские войска находятся в 5 км от Запорожья и наносят удары по украинским подразделениям в черте города, заявил начальник Генштаба ВС РФ Валерий Герасимов. Их уже не остановить.

😁19🤡9💊4✍1🍌1💩1🗿1🤪1

16 Oct 2026, 16:16 UTC≈1,540 views20 reactionsread 23 October 2026
Photo

Толя радов восхитился.

🤣8😁7🤡2❤1👻1🤯1

Showing the 12 most recent of 219 posts we hold for @apwagner_real. 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

@apwagner_real 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

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

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.

Alex Parker Returns
@apwagner · 315,848
#1
ЕЖ
@ejdailyru · 671,583
#2
Говорит ТопаZ 🪖
@Love_Russia_Beauty · 115,234
#3
Быть Или
@ToBeOr_Official · 304,531
#4
ЖИВОВЪ
@zhivoff · 131,321
#5
Военкор Котенок
@voenkorKotenok · 310,330
#6
Ukraine context | UC
@ukraine_context · 93,269
#7
Donrf
@donrf22 · 67,539
#8
Роман Сапоньков
@RSaponkov · 101,034
#9
Лютый русофоб 😝🤓
@rusofobiadaily · 1,867
#10
Verum Regnum|Наш Regnum
@regnum_na · 68,288
#11
Майор Гром
@mayorthunder · 6,650
#12
Егор Холмогоров
@holmogor_talks · 19,433
#13
Анатолий Шарий
@asupersharij · 1,729,685
#14
Тринадцатый.
@Z13_Separ · 209,980
#15
Colonelcassad
@boris_rozhin · 754,919
#16
ZАПИСКИ VЕТЕРАНА 🇷🇺
@notes_veterans · 274,727
#17
Интуиция подскажет
@intuition2036 · 37,945
#18
Димитриев
@russ_orientalist · 129,504
#19
Логика Маркова
@logikamarkova · 53,066
#20
✙ 🔼Вертикаль
@vert2026 · 115,011
#21
Говорять Снайпер ꑭ
@stanislav_osman · 285,170
#22
БУТУСОВ ПЛЮС
@ButusovPlus · 348,797
#23
Win-Win
@victorstepanych · 155,643
#24
Офіцер
@officer_33 · 180,864
#25
Денис Казанський
@kazansky2017 · 149,489
#26
Прогревочная
@progrevg1 · 22,587
#27
КАШИН
@kashinguru · 75,193
#28
Реальный канал ШАРИЯ
@real_sharij · 9,767
#29
Временное правительство 2.0
@neoreshkins · 28,986
#30
КВ
@vizioner_rf · 17
#31
Розвідка Ноєм
@rozvidka_noem · 114,250
#32
MK Ultra
@peaceunderrisk · 352
#33
Дивізіон-«ТІВАЗ»
@tivaz_artillery · 41,731
#34
Рамзай
@ramzayiegokomanda · 151,577
#35
Соло Лисовского
@Solo_of_Lyssovsky · 1,222
#36
Filin🦉
@filin2 · 739
#37
dragon-dances
@dragon_dances · 9,701
#38
окно овертона
@toneovertone · 247
#39
Русский Демиург
@rus_demiurge · 114,070
#40
Лев Вершинин
@putnik1lv · 42,227
#41
РГМ3
@russiainmymind · 5,295
#42
Мы русские – нам пох
@Za_Derjavy · 11,435
#43
Русское Zazеркалье 2.0
@opyat23 · 4,411
#44
"Ольхон"- как достучаться до небес
@olhonddn · 4,301
#45
RDVL
@Echtdevol · 14,204
#46
МОШИАХ
@MOSHIAHZION · 6,611
#47
Донбасс для "чайников"
@donporchay · 882
#48
Тени Руси
@tenirusi · 25,102
#49
Вадим Радченко 🇷🇺 Охранитель
@aeronaut_bel · 2,590
#50
Жаба 🐸
@zaabaoi · 273
#51
ДЕНИС ЧЕРНУХИН НА КАЖДЫЙ ДЕНЬ!!!!
@chernukhindenis · 6,055
#52
Александр Храмов
@khramov_alexander · 5,011
#53
Курск онлайн
@kurskbomondd · 2,802
#54
Утенок Пол Пота
@polpotkids · 6,508
#55
Наталья Хим - Максимус. Скандалы,интриги,расследования. Гум.помощь. Новороссии - быть.
@natalia_maximus_ZOV · 8,603
#56
Ёжкин кот
@ezhkinkot · 8,421
#57
Brееgе Timе ZÖZV🇷🇺
@breege_time_20zv · 16,801
#58
Ершовизмы
@egorershofff · 4,717
#59
Мейстер
@maester · 301,571
#60
Fighterbomber
@bomber_fighter · 527,052
#61
Lost Gift (official music)
@lostgift2 · 164
#62
Биржевой Компас — Самотлор
@finamNV · 270
#63
Блог Блинчика🥞
@dankm3m3 · 3,083
#64

Read from Telegram’s recommendation API, most recently 21 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.

Доброволец | Военное дело
@Dobrovoleec · 64,629
Telegram ranks this channel #21 of 59 here — alongside 58 others — read 21 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“Alex Parker Returns” (@apwagner_real), 63,449 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/apwagner_real.

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.