Channel
@AmThoughtLeader
On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
1,259subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001261662782 |
|---|---|
| Type | Channel |
| Username | @AmThoughtLeader |
| Created | 29 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/AmThoughtLeader |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 00:25 | 1,259 | -2 |
| 10 Aug 2026, 08:15 | 1,261 | -1 |
| 7 Aug 2026, 02:23 | 1,262 | -1 |
| 6 Aug 2026, 11:51 | 1,263 | no change |
| 6 Aug 2026, 09:51 | 1,263 | first reading |
20 posts held, back to 28 October 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 20 (28 October 2023 – 5 August 2026) |
| Views total | 735 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 11:51 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.
Timothy Blackwood just uncovered a massive human trafficking operation that no one is talking about. Now, he’s sounding the alarm about “scamming centers.” This is a “huge operation” that enslaves people and forces them to scam Americans and steal their money. “What my film does, ‘Scam Slave: From Hell to Home,’ is it follows the journey of a young Ugandan man named Gideon.” “He’s from a small village outside of Kamp…
Almost every American has received a scam call. What most people don’t realize is that the person on the other end may be a trafficking victim being forced to try to scam them. Timothy Blackwood breaks down the horrifying reality behind these operations. “Many Americans have either had a family member or a friend scammed in some type of online scam operation.” “They don’t know what is behind these scams.” “The p…
Have you received random texts from strangers who seemed a little too friendly? You may have encountered a pig-butchering scam. Step 1: They befriend you — romantic messages, photos, maybe even deepfake videos, until you trust them. Step 2: They "fatten" you up. They start bragging about their crypto gains, then offer to help you invest too. You put in a little, and — surprise — you actually make money. So you put…
“Studies of children created through donor sperm… over 80% of them want to meet or know the person that gave them life.” Katy Faust argues that Big Fertility and IVF are disrupting something deeply rooted in human nature. The connection between a child and their biological mother and father. “The sperm is not a person.” “The person that results from that sperm has rights.” “There’s something that the two people …
Katy Faust believes the legalization of same-sex marriage and the rise of same-sex parenting has had detrimental consequences for children. She explains why she views the issue not through hate, but as a conflict between adult desires and children’s natural rights. “You don’t have a right to marry somebody else if it means that a child loses their fundamental, natural, God-given, self-evident right to be known and …
Since the sexual revolution and the introduction of no-fault divorce in 1969, the institution of marriage in America has undergone a profound transformation. Katy Faust, founder of children’s rights organization Them Before Us and co-author of a book by the same name, argues that marriage has changed from a permanent, child-centered union, to a vehicle for adult fulfillment. And now new reproductive technologies—fr…
The CCP understands that some American elections can be decided by just a few thousand votes. Tianliang Zhang says it is exploiting that reality to install candidates it can control. “They are using your rules to take advantage of you.” “There was a very famous Chinese scholar… he openly said, ‘There are 435 congressional districts, and if we can have our manufacturers and enterprises in every district, and if we …
The U.S. allowed the exact nightmare officials claimed they were trying to prevent. China reportedly gained access to the personal data of 220 million American voters. Tianliang Zhang says this is part of a decades-long effort by China to manipulate American elections. “I think it’s not surprising at all.” “Back to 1998, we already knew that the Chinese military was spending money to influence or support specific…
There’s a little known CCP strategy designed to subvert America from within. Many know the term “unrestricted warfare,” but it's based on a concept developed in the late 1980s by a high-ranking CCP official Wang Huning. It's called “American against America”—here’s how it works. The CCP systematically exploits American institutions—its markets, its courts, and its values—against America. “This pattern is repeated…
Messages in this channel will be automatically deleted after 1 week
"If you came from Mars & you looked at Ukraine and Israel… We tell the Israelis you can't have any collateral damage. You can't do this. And I could go on and on and on, but it's schizophrenic. …It's antisemitic that a lot of people apply rules to the Jewish state, they would never apply to any other ally.” Deep dive tonight with classicist and military historian @VDHanson 👉PREMIERE 9PM ET on @EpochTV: https://ep…
"We had a situation in a time of peace where a thousand people were mutilated and butchered before the IDF responded. And yet that ignited these people on the campus to root for the people who were murdering & beheading…Their instinct and their training and their ideology was so perverted and out of mind that that was their natural Pavlovian response.” To make sense of the realities of the #IsraelHamasWar, we sit do…
Showing the 12 most recent of 20 posts we hold for @AmThoughtLeader. 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 — 798,458 of 1,183,361entries 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.
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.
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@AmThoughtLeader named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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.
“American Thought Leaders - The Epoch Times” (@AmThoughtLeader), 1,259 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/AmThoughtLeader.
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.