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Channel

Kali Spell- Dark Matters Decode Academy

@darkmattersnetwork

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,333subscribers

+4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001445486315
TypeChannel
Username@darkmattersnetwork
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/darkmattersnetwork

Growth

2,3272,3332,3307 August 2026 — 2,329 subscribers7 August 2026 — 2,329 subscribers10 August 2026 — 2,327 subscribers13 August 2026 — 2,330 subscribers17 August 2026 — 2,333 subscribers7 August 202617 August 2026
5 measurements spanning 10 days, net +4. 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 2,326–2,334 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 11:222,333+3
13 Aug 2026, 13:182,330+3
10 Aug 2026, 05:322,327-2
7 Aug 2026, 10:302,329no change
7 Aug 2026, 07:172,329first reading

Engagement

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

ERR · 30 days
28.8%
avg views ÷ 2,333 subscribers
Avg views / post
672
6 posts measured
Reaction rate
0.972%
reactions ÷ views · ER floor
Posts in window
6
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. It is computed over the 4 of 6 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held20 (25 June 20264 August 2026)
Views total4,030
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:40 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.

Reaction mix

120 reactions across 15 posts, in 7 distinct kinds. The most used accounts for 36.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4436.7%
🔥3428.3%
👍2016.7%
👏86.67%
💯86.67%
43.33%
👎21.67%

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 15 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 120reactions 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 25 June 2026 to 4 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.

Recent posts

4 Aug 2026, 13:49 UTC189 views6 reactionsread 7 August 2026

Here's a revised version: Tomorrow morning on Food for Thought Radio, I'll be joined live by Smudger Smith, The Dean Wordsmith, as we introduce our brand-new weekly series, The Whole E-Truth. On FFT Radio we'll be talking about why we've decided to create it, what you can expect, and why we believe language is one of the master keys to understanding the world around us. We'll decode headlines, symbolism, etymology, m

6

28 Jul 2026, 15:58 UTC≈2,380 views11 reactionsread 7 August 2026

Tomorrow!! 8-10am www.fftradio.com We descend into one of the most controversial conversations we've ever had!! The Blade Runners don't see themselves as activists, they see themselves as guardians, operating in the shadows while the rest of the world sleeps. Their mission? To expose what they believe is hidden in plain sight and to protect their communities, whatever the personal cost. Samuel of Yorkshire joins us t

👍63👏1💯1

22 Jul 2026, 12:44 UTC558 views12 reactionsread 7 August 2026

⚖️ LEARN THE LAW | COUNCIL TAX MASTERCLASS | SESSION TWO The feedback from Session One has been incredible. If you joined us, you'll know why. If you didn't... now's your chance to catch up. These masterclasses are about giving you the keys to the kingdom. Learning the language of process. Understanding the paperwork. Seeing the system through a completely different lens. Session Two continues exactly where Session O

12

14 Jul 2026, 20:05 UTC534 views21 reactionsread 7 August 2026

Strong men protect women. Strong men protect children. Strong men stand between tyranny and the people. So what happens if you systematically weaken them? Tomorrow on FFT Radio we're asking whether the collapse in testosterone, male fertility, and masculine vitality is merely an accident of modern life, or whether some argue it reflects deliberate choices in how our environment, food systems, and everyday chemical ex

14💯4🔥3

11 Jul 2026, 11:36 UTC580 views19 reactionsread 7 August 2026

https://youtu.be/UObygfXX7A0?is=1pziXcwsEn4uvk6M

🔥105👏2💯2

8 Jul 2026, 12:13 UTC905 views9 reactionsread 7 August 2026

🚨 LIVE TODAY | 3PM | FACEBOOK 🚨 They are coming for the children. If you think that's an exaggeration, you need to watch this live. Today at 3pm, I'm joined by Andy from Wake TF Up – Sovereign Signal to expose what's really happening. We're talking about phased-array technology, biometric profiling, digital surveillance, AI, digital ID, and why your data, and more importantly your children's data, has become one o

4👎2🔥2👏1

7 Jul 2026, 17:29 UTC435 views10 reactionsread 7 August 2026

For too long, we've been conditioned to accept a model of disease built on fear, suppression, and lifelong pharmaceutical dependency. We've been taught that our bodies are fragile, that sickness strikes at random, and that the answer always lies in another prescription. But what if we've been asking the wrong questions from the very beginning? What if what we call "disease" isn't what we've been led to believe? What

👏4🔥41💯1

Showing the 12 most recent of 20 posts we hold for @darkmattersnetwork. 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 — 1,049,084 of 1,550,164entries 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.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“Kali Spell- Dark Matters Decode Academy” (@darkmattersnetwork), 2,333 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/darkmattersnetwork.

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.