27 measurements spanning 28 days, net +1,529. 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 11,659–13,659 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
5 Sept 2026, 02:00
13,419
-9
3 Sept 2026, 10:19
13,428
+14
2 Sept 2026, 04:38
13,414
+34
1 Sept 2026, 02:58
13,380
+83
31 Aug 2026, 03:57
13,297
+187
30 Aug 2026, 05:45
13,110
+15
29 Aug 2026, 08:06
13,095
+10
28 Aug 2026, 11:25
13,085
+11
27 Aug 2026, 13:44
13,074
+43
26 Aug 2026, 10:08
13,031
+5
25 Aug 2026, 09:58
13,026
+20
24 Aug 2026, 09:44
13,006
+93
22 Aug 2026, 17:35
12,913
+107
21 Aug 2026, 09:23
12,806
+39
20 Aug 2026, 10:35
12,767
+74
19 Aug 2026, 11:45
12,693
+102
18 Aug 2026, 10:37
12,591
+60
17 Aug 2026, 11:12
12,531
+66
15 Aug 2026, 19:28
12,465
+80
14 Aug 2026, 08:47
12,385
first reading
Engagement
26 posts held, back to 30 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
49.4%
avg views ÷ 13,419 subscribers
Avg views / post
6,630
6 posts measured
Reaction rate
3.67%
reactions ÷ views · ER floor
Posts in window
6
of 26 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 29 August 2026
Posts held
26 (30 June 2026 – 29 August 2026)
Views total
39,790
Reactions total
1,460
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:12 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
5,520 reactions across 26 posts, in 35 distinct kinds. The most used accounts for 33.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,849
33.5%
💯
1,288
23.3%
👍
623
11.3%
🙏
413
7.48%
🤬
376
6.81%
🔥
222
4.02%
😱
196
3.55%
👀
99
1.79%
😢
95
1.72%
👏
87
1.58%
🤯
76
1.38%
🤔
52
0.942%
🕊
19
0.344%
😈
19
0.344%
👎
15
0.272%
😡
15
0.272%
😭
11
0.199%
⚡
7
0.127%
🫡
7
0.127%
🎉
6
0.109%
15 further kinds
45
0.815%
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 26 of the 26 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 5,520 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 30 June 2026 to 29 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.
🔺 THEY SEIZED 175,000 BELLS — THEN EUROPE WENT SILENT.
The towers remained.
The stone remained.
But the voices were removed.
Between 1939 and 1945, Nazi authorities confiscated an estimated 175,000 bells from towers across Europe.
Postwar estimates suggest that approximately 150,000 were destroyed.
Taken down.
Catalogued.
Loaded onto trains.
Transported to enormous collection grounds known as Glockenfriedhöfe —…
🔺 THEY LIFTED 35,000 TONS OF CITY — WHILE THE STORES STAYED OPEN.
Chicago, 1860.
The streets were drowning in mud. The land was too flat for sewage to drain properly. Water collected beneath homes, inside cellars and across the roads.
So the city approved a solution that sounds impossible even now:
Raise the streets.
Raise the sidewalks.
Raise the buildings with them.
⟁
On Lake Street, engineers placed approxim…
🔺 PARIS HAD A 427-KILOMETER MESSAGE NETWORK UNDERGROUND. IN 1866.
They tell you the nineteenth century moved at the speed of a horse.
Letters took days. Information moved slowly. Cities were primitive, disconnected, mechanical.
But beneath the streets of Paris, written messages were already moving through metal tubes — propelled by compressed air.
Not by courier.
Not by train.
Not by electricity.
By the city its…
🔺 THIS IS AN “ORPHANAGE.” LOOK AT IT. WHO BUILDS A PALACE FOR HOMELESS CHILDREN?
This building had 600 rooms, marble floors, copper domes, and central heating in 1882. They tell you it was built by “charitable donations” to house abandoned children.
Ask yourself one question: Where did the money come from?
⟁
In the 1880s, the average American worker earned $1.50 a day. This building would cost $400 million in toda…
🔺 YOU WERE BORN INTO A BODY THAT WAS CRIPPLED BEFORE YOU TOOK YOUR FIRST BREATH.
This is not a metaphor. This is not philosophy. This is biology.
97% of your DNA is classified as “junk” by the same institutions that told you the pyramids were tombs and the cathedrals were churches. They labeled it “non-functional” because if you ever discovered what it actually does, their entire control system collapses in 24 hours…
🔺 THE INCUBATOR BABIES WERE NOT PREMATURE. THEY WERE THE LAST TARTARIAN CHILDREN.
Between 1896 and 1943, a man named Martin Couney displayed live human babies in glass incubators at Coney Island, World’s Fairs, and carnival sideshows across America. Thousands of infants. On public display. For entertainment.
The official story says he was a “hero” who saved premature babies that hospitals refused to treat. The publ…
🔺 THIS IS HOW THEY KILLED TARTARIA. NOT WITH ARMIES. WITH MUD.
You are looking at the event they erased from every history book on Earth.
Sometime between 1800 and 1850, a cataclysmic event buried the entire Tartarian civilization under 10-30 feet of mud. Not water. Not lava. Mud. Thick, mineral-rich clay that hardened like concrete and sealed everything beneath it.
This was not natural.
No volcano produces mud ac…
🔺 THE “GREAT WALL OF CHINA” WAS NOT BUILT BY CHINA. IT WAS BUILT AGAINST CHINA.
Look at the gun ports. Look at the arrow slits. Look at the defensive positions.
They all face SOUTH. Toward the Chinese interior.
If China built this wall to defend against northern “barbarians,” the weapons would face NORTH. Every military fortification in human history has its defensive openings facing the enemy.
This wall was built…
🔺 THERE IS A COMPLETE CITY BENEATH YOUR FEET RIGHT NOW.
Every major capital in the world has a “subway system” or “underground tunnels.” They tell you these were dug for transportation. They were not dug. They were discovered.
Paris. London. Moscow. New York. Istanbul. Rome.
Beneath every one of these cities lies a complete, intact Tartarian metropolis — with domed palaces, cobblestone streets, and infrastructure t…
Showing the 12 most recent of 26 posts we hold for @TARTARIAEMPIRE. 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.
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 5 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.
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“Tartaria Empire” (@TARTARIAEMPIRE), 13,419 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/TARTARIAEMPIRE.
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.
