10 measurements spanning 8 days, net -70. 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 12,346–12,437 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 20:49
12,356
-10
13 Aug 2026, 08:25
12,366
-6
12 Aug 2026, 11:28
12,372
-9
11 Aug 2026, 09:49
12,381
-11
10 Aug 2026, 07:20
12,392
-5
9 Aug 2026, 10:01
12,397
-11
8 Aug 2026, 09:31
12,408
-7
7 Aug 2026, 09:47
12,415
-8
6 Aug 2026, 12:20
12,423
-3
6 Aug 2026, 10:07
12,426
first reading
Engagement
20 posts held, back to 29 June 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
44.1%
avg views ÷ 12,356 subscribers
Avg views / post
5,450
5 posts measured
Reaction rate
0.147%
reactions ÷ views · ER floor
Posts in window
5
of 20 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 22 July 2026
Posts held
20 (29 June 2026 – 22 July 2026)
Views total
27,250
Reactions total
40
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 13:01 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
≈333
Videos
≈1,300
Links
≈9,140
Lifetime counters from Telegram’s own channel header, read 15 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
2m 00s
Average length
2m 00s
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
196 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 35.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🙏
69
35.2%
👍
41
20.9%
🤬
36
18.4%
❤
21
10.7%
🔥
9
4.59%
🤮
7
3.57%
💯
6
3.06%
😈
2
1.02%
😢
2
1.02%
😱
2
1.02%
👏
1
0.51%
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 20 of the 20 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 196reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 29 June 2026 to 22 July 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.
Quick announcement regarding Daily Pulse and Zeee Media moving forward.
We want to thank @vigilantfox and all of our viewers for all of your loyal support over this past year.
Don't worry - Zeee Media isn't going anywhere! In fact, we'll be doubling down harder than ever!
Made in the USA, a game-changing, drug-free relief patch is helping thousands finally get relief without pills, creams, or wires. Learn about it works here!
Join us in 25 mins: https://rumble.com/v7d0tv0-drug-free-respite-is-here-daily-pulse-ep-286.html
Brought to you by @ZeeeMedia and @VigilantFox 🦊.
Follow us at t.me/TDailyPulse
Technocracy Bootcamp: How You Can Fight Back | Daily Pulse
Privacy is being erased by design. Your data is the new oil, and you are the product. The good news: the solution is easier than you think.
https://www.vigilantfox.com/p/technocracy-bootcamp-how-you-can
Brought to you by @ZeeeMedia and @VigilantFox 🦊.
Follow us at t.me/TDailyPulse
From the EU’s Digital Identity Wallet, UK’s Digital ID, Australia’s MyGov expansions, Canada’s digital trust framework, and America’s REAL ID feeding into broader national systems, governments are racing to create a single, trackable, programmable identity for every citizen. There is a way to protect yourself from technocracy.
Join us in 25 mins: https://rumble.com/v7cvqai-technocracy-bootcamp-how-you-can-fight-back…
This Is How DARPA’s Next Plandemic Begins | Daily Pulse
Follow the money: billions in government spending, gain-of-function research, and next-generation vaccine programs are all converging on one target.
https://www.vigilantfox.com/p/this-is-how-darpas-next-plandemic
Brought to you by @ZeeeMedia and @VigilantFox 🦊.
Follow us at t.me/TDailyPulse
What if every pandemic was engineered in-silico by AI algorithms years before it ever “happened”? This episode digs into DARPA's history, revealing hidden digital architecture designed to manufacture crises and secure your compliance forever. The next one may already be in the code.
Join us in 20 mins: https://rumble.com/v7crv7s-in-silico-apocalypse-ais-fake-pandemics-daily-pulse-ep-284.html
Brought to you by @Zeee…
The Streetlight is Watching: What NEMA Nodes Mean for Everyday Americans | Daily Pulse
Your local streetlight may know more about you than your own phone.
https://www.vigilantfox.com/p/the-streetlight-is-watching-what
Brought to you by @ZeeeMedia and @VigilantFox 🦊.
Follow us at t.me/TDailyPulse
People are becoming more aware of surveillance infrastructure every day. While most have heard of Flock, many aren't aware of NEMA: the infrastructure going up in the tens of millions all over the world on street lights.
Join us in 30 mins: https://rumble.com/v7coo7g-you-know-flock...-but-have-you-heard-of-nema-daily-pulse-ep-283.html
Brought to you by @ZeeeMedia and @VigilantFox 🦊.
Follow us at t.me/TDailyPulse
DISTURBING: Are They Feeding Us Dead Babies? | Daily Pulse
Two reassuring words—“natural flavors”—are concealing a story the food industry hoped you would never uncover.
https://www.vigilantfox.com/p/disturbing-are-they-feeding-us-dead
Brought to you by @ZeeeMedia and @VigilantFox 🦊.
Follow us at t.me/TDailyPulse
Are flavor enhancers found in almost every single major food brand using aborted babies in their lab testing? We present shocking evidence of the dark history of food additives.
Join us in 15 mins: https://rumble.com/v7cjnyq-are-they-feeding-us-dead-babies-daily-pulse-ep-282.html
Brought to you by @ZeeeMedia and @VigilantFox 🦊.
Follow us at t.me/TDailyPulse
WORLD FIRST: Peer-Reviewed Paper on "White Clots" | Daily Pulse
The strange “white clot” phenomenon just entered the peer-reviewed literature, and the findings raise disturbing questions that health authorities can no longer ignore.
https://www.vigilantfox.com/p/world-first-peer-reviewed-paper-on
Brought to you by @ZeeeMedia and @VigilantFox 🦊.
Follow us at t.me/TDailyPulse
For the first time, two peer-reviewed papers have been published on the "white clot" phenomenon: one documenting what embalmers have encountered, and another identifying a new, blood-borne systemic amyloidosis, confirmed via multiple testing methods including Raman spectroscopy.
Join us in 30 mins: https://rumble.com/v7cg25i-world-first-peer-reviewed-paper-on-white-clots-daily-pulse-ep-281.html
Brought to you by @Z…
👍10🙏5❤3
Showing the 12 most recent of 20 posts we hold for @TDailyPulse. 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 — 134,206 of 1,480,688entries 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.
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 2 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.
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.
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.
The Vigilant Fox 🦊 @VigilantFox · 121,873 Telegram ranks this channel #21 of 83 here — alongside 82 others — read 14 August 2026
KanekoaTheGreat @KanekoaTheGreat · 119,528 Telegram ranks this channel #24 of 80 here — alongside 79 others — read 14 August 2026
Gateway Pundit @gatewaypunditofficial · 114,020 Telegram ranks this channel #39 of 78 here — alongside 77 others — read 14 August 2026
Robert W Malone, MD @RWMaloneMD · 107,358 Telegram ranks this channel #51 of 89 here — alongside 88 others — read 15 August 2026
This channel appears in 4 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“The Daily Pulse” (@TDailyPulse), 12,356 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/TDailyPulse.
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.