5 measurements spanning 9 days, net +83. 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 3,766–3,873 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 15:53
3,861
+39
12 Aug 2026, 04:13
3,822
+12
9 Aug 2026, 09:51
3,810
+28
6 Aug 2026, 08:11
3,782
+4
6 Aug 2026, 04:32
3,778
first reading
Engagement
30 posts held, back to 2 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 4 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
23.2%
avg views ÷ 3,861 subscribers
Avg views / post
896
30 posts measured
Reaction rate
10.7%
reactions ÷ views · ER floor
Posts in window
30
of 30 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
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
30 (2 August 2026 – 7 August 2026)
Views total
26,877
Reactions total
2,882
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 06:13 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
7s
Average length
7s
Measured directly from 1 video 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
1,967 reactions across 22 posts, in 22 distinct kinds. The most used accounts for 39.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
774
39.3%
😁
287
14.6%
⚡
220
11.2%
❤
138
7.02%
🤝
89
4.52%
🏆
58
2.95%
😭
56
2.85%
🤯
54
2.75%
🫡
50
2.54%
😢
48
2.44%
🔥
46
2.34%
🤬
41
2.08%
👏
34
1.73%
👌
23
1.17%
❤🔥
15
0.763%
💊
12
0.61%
🗿
12
0.61%
👀
5
0.254%
🍾
2
0.102%
🎉
1
0.051%
2 further kinds
2
0.102%
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 30 of the 30 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 2,882reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 2 August 2026 to 7 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.
To add this too, as we've wrote about this several times. Our primary enemy isn't the Far Left. It isn't migrants. It isn't even the jews. Not that they aren't enemies of course.
It's the system itself that's the primary enemy. All others are mere symptoms. Once you replace the primary, the secondary will shrivel away into dust.
https://t.me/totallyawesomefriends
We just have to disagree with this op-ed. The author has good intentions but still.
The Far Left infights more than the Far Right by a galaxy. It's such a common thing that it's actually an in-joke among leftists that two leftists can agree with 101% of things and then still try and kill each other over the most petty things ever.
What seperates the Far Left from us however is infrastructure. Leftists have funding,…
22 year old female teacher sends a message to her boyfriend and two roommates joking/venting about wanting to shoot one of her students for misbehaving and messing with her laptop.
The FBI is alerted ASAP through AI assisted automated scanning of private messages. Police arrive at the school within 60 minutes of the text to confront her for the edgy joke.
https://tech.yahoo.com/cybersecurity/articles/student-teache…
21 days in jail for wearing a shirt that questions the 6 million (vaguely)
Abolish the activist traitor judiciary, who care more about the sensitivities of eternally complaining Jews rather than free speech and political communication.
One of the benefits with being known quantities hated by the system. If a super mega war breaks out. Our asses aren't getting drafted to fight.
Though we will be rounded up into camps though. So that's the downside. Like that's actually on the books that if you're on a watchlist, you don't get drafted. They instead come and try and round you up to throw you in camps.
https://en.wikipedia.org/wiki/Rex_84
So yeah, i…
People who use anti-Israel Arabs as avatars for the movement just totally misunderstand how Middle Easterners view Israel and Israelis. Mostly because they've never spoken to a Middle Easterner in their lives. We have.
While some groups, such as Hamas, openly cite JQ reasons in things like their Charter for sure. The vast majority don't do the JQ stuff.
They only hate Israel and Israelis, because to them, it's just…
Us right now seeing various US movement figures get excited over a brown communist who hates Whites winning a primary. His explicit platform is unlimited brown migration, supporting communism in the US, and using the system to turbo rape the movement (including the same people jerking off to him winning the primary) explicitly with full federal force.
All because he hates Israel because he thinks they're Nazis. So s…
On a similar topic. Some movement advice. The loudest barrels are the emptiest. If someone is chest beating how badass they are as a person constantly to you. They're the first to bitch out. Actual solid people don't feel the need to constantly let everyone know how badass they are.
Every single person we've ever met in the movement who chest beats is the first to dip out on you over minor things like door knocks or…
The whole "I was a Nazi until I met a black person" shtick is such bullshit and never actually happens.
https://www.abc.net.au/news/2026-08-05/nsw-royal-commission-antisemitism-reformed-neo-nazi-testimony/106999942
We're willing to bet that you, despite being a Nazi, have known outsiders including non-Whites and other groups. Did it make you think to yourself "man this is all bullshit because they were polite to me…
💯98❤6⚡5
Showing the 12 most recent of 30 posts we hold for @totallyawesomefriends. 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 — 71,995 of 1,481,243entries 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 34 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Totally Awesome Friends” (@totallyawesomefriends), 3,861 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/totallyawesomefriends.
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.