Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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.
Growth
34 measurements spanning 48 days, net +2,033. 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 31,593–34,357 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
24 Sept 2026, 23:57
34,038
+193
18 Sept 2026, 15:17
33,845
+60
16 Sept 2026, 08:40
33,785
-32
14 Sept 2026, 13:15
33,817
+16
13 Sept 2026, 00:57
33,801
+5
11 Sept 2026, 02:38
33,796
-4
8 Sept 2026, 05:19
33,800
-37
5 Sept 2026, 00:21
33,837
-73
3 Sept 2026, 06:59
33,910
+27
1 Sept 2026, 22:35
33,883
+180
31 Aug 2026, 22:29
33,703
+541
30 Aug 2026, 22:46
33,162
+601
29 Aug 2026, 23:04
32,561
+26
28 Aug 2026, 23:45
32,535
+41
27 Aug 2026, 23:08
32,494
+61
27 Aug 2026, 01:14
32,433
+33
26 Aug 2026, 04:34
32,400
+44
25 Aug 2026, 04:02
32,356
+28
23 Aug 2026, 23:45
32,328
+39
22 Aug 2026, 06:36
32,289
first reading
Engagement
166 posts held, back to 1 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 85 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.9%
avg views ÷ 34,038 subscribers
Avg views / post
8,140
80 posts measured
Reaction rate
1.69%
reactions ÷ views · ER floor
Posts in window
80
of 166 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 27 September 2026
Posts held
166 (1 August 2026 – 27 September 2026)
Views total
651,150
Reactions total
10,984
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 06:36 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
122
Videos
654
Links
666
Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
9h 09m
Average length
3m 56s
Measured directly from 140 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
23,737 reactions across 166 posts, in 46 distinct kinds. The most used accounts for 27.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
6,475
27.3%
❤
5,407
22.8%
🤬
1,978
8.33%
💯
1,758
7.41%
😈
1,196
5.04%
🤔
1,162
4.90%
🔥
1,148
4.84%
🤣
724
3.05%
🙏
438
1.85%
👏
430
1.81%
🥴
408
1.72%
😡
358
1.51%
😱
341
1.44%
👀
326
1.37%
😁
223
0.939%
💊
178
0.75%
🤪
155
0.653%
😢
125
0.527%
🤨
121
0.51%
🤯
119
0.501%
26 further kinds
667
2.81%
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 166 of the 166 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 23,737 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 166 most recent posts we hold, published 1 August 2026 to 27 September 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.
Telegram Stars
Stars received
217
across the posts below
Posts paid on
14
of 166 we hold a reading for · 8%
Most on one post
200
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @US_History1. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 166 most recent posts we hold for this entry, published 1 August 2026 to 27 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
The 1949 Kitchen Was Built to Work 🍳
A 1949 kitchen was designed less as a showcase and more as a carefully organized working space.
Every drawer, shelf, cabinet, and built-in feature had a purpose.
Tile countertops made cleaning relatively simple. Deep cabinets could include built-in flour storage, while metal drawers were sometimes lined with wax paper to keep them clean. A fold-out ironing board could disappear in…
What if our three-dimensional world were only a shadow of something larger?
One of the most famous mathematical ways to imagine a fourth spatial dimension is the tesseract — a four-dimensional analogue of the familiar cube.
A square can be extended into a cube by adding another dimension. In the same way, a cube can be extended mathematically into a tesseract by adding a fourth spatial dimension.
The result is diffic…
On October 30, 1961, the Soviet Union detonated a weapon so powerful that its explosion remains unmatched in human history. ☢️
Known as Tsar Bomba, the enormous thermonuclear device was tested over Novaya Zemlya in the Soviet Arctic.
Its officially estimated yield was around 50 megatons of TNT — making it the most powerful nuclear weapon ever detonated.
The fireball expanded to an extraordinary size, while the mushro…
El Niño Is Strengthening — And the World Will Feel It 🌊🌎
Something is changing in the tropical Pacific — and its effects can reach far beyond the ocean itself.
El Niño is now firmly established and strengthening. NOAA currently gives a greater than 90% chance of a very strong El Niño during the Northern Hemisphere fall and winter of 2026–27.
The phenomenon begins with unusually warm ocean waters across the tropical P…
In April 1939, Franklin D. Roosevelt made an unusual diplomatic appeal directly to Adolf Hitler.
Europe was already living under the shadow of another major war. Germany had occupied Czechoslovakia, tensions were rising, and fears of further aggression were spreading across the continent.
On April 14, Roosevelt sent Hitler a carefully worded message asking whether Germany was prepared to assure that it would not atta…
How did people in the 1300s create something this massive, precise, and detailed without cranes, engines, or modern construction machinery? 🏰
Medieval builders had none of the equipment we associate with large-scale construction today. Yet across Europe, they raised enormous cathedrals, fortifications, bridges and stone structures that still survive centuries later.
Their technology was different — not absent.
Builde…
Why 1950s Handbags Looked So Different 👜
In the 1950s, a handbag was more than a practical accessory — it was an important part of a woman's carefully coordinated appearance.
The decade brought a distinctive fashion language to handbags. Structured shapes, firm handles, compact silhouettes, polished finishes, and decorative details became closely associated with the era.
The postwar economic boom in the United States…
A Look Inside 7 World Trade Center — Through Mark LaGanga’s Lens.
On September 11, 2001, CBS photojournalist Mark LaGanga was on the ground in Lower Manhattan, documenting the aftermath of the attacks as the World Trade Center complex remained engulfed in smoke, debris, and confusion.
His camera entered 7 World Trade Center, capturing rare footage from inside the building while evacuations were still taking place and…
The Machine That Wrote Before Computers Existed ⚙️
More than 250 years ago, a mechanical figure could sit at a desk, move its head and eyes, dip a quill into ink, and write on paper.
Created by Swiss watchmaker Pierre Jaquet-Droz between 1768 and 1774, The Writer is one of the most remarkable mechanical automata of the 18th century.
✍️ It actually writes.
Rather than simply repeating one movement, the figure can guid…
Why do children, across generations and cultures, instinctively build little forts, hideaways, and secret spaces? 🏕
One popular theory claims that this behavior is a form of “genetic memory” — as if children somehow remember the shelters their distant ancestors once depended on.
It is a fascinating idea. But there is no scientific evidence that humans inherit specific memories or detailed experiences through DNA.
The…
Join➡️ Untold Stories🪬
I recommend hidden channel: "📖 The Black Book Records"
🤬54👍12🔥12😈9😁3
Showing the 12 most recent of 166 posts we hold for @US_History1. 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
@US_History1 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
3 September 2026
Most recent edit
3 September 2026
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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“Untold Stories” (@US_History1), 34,038 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/US_History1.
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.
