Channel
@falungong
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
127subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001661383086 |
|---|---|
| Type | Channel |
| Usernames | @falungong @lihongzhi |
| Created | 23 July 2022 — measured — dated from the channel’s first post |
| First recorded | 9 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/falungong |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 02:02 | 127 | no change |
| 7 Aug 2026, 03:15 | 127 | first reading |
15 posts held, back to 23 July 2022 — the 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 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 23 July 2026 |
|---|---|
| Posts held | 15 (23 July 2022 – 23 July 2026) |
| Views total | — |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 02:02 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.
Lifetime counters from Telegram’s own channel header, read 9 August 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.
63 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 58.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 37 | 58.7% | |
| 😁 | 13 | 20.6% | |
| ❤ | 8 | 12.7% | |
| 👏 | 2 | 3.17% | |
| 🤬 | 2 | 3.17% | |
| 🤮 | 1 | 1.59% |
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 9 of the 15 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 63reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 23 July 2022 to 23 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.
The owner of this channel has been inactive for the last 11 months. If they remain inactive for the next 17 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
The owner of this channel has been inactive for the last 11 months. If they remain inactive for the next 20 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
The owner of this channel has been inactive for the last 11 months. If they remain inactive for the next 30 days, they may lose their account and admin rights in this channel. The contents of the channel will remain accessible for all users.
骂法论功或者法论功吊毛要买用户名的直接上评论
❤4🤮1😁1
练法论功的鸡巴，没钱你妈宣传个吊
👍5
Photo, posted without a caption
https://fragment.com/username/falungong
👍1😁1
https://fragment.com/username/lihongzhi
👍1😁1
练法论功的臭狗屎们 ，你们可以联系我购买这个用户名。还有你们的垃圾教主李洪志 也一起卖你们了。 直接去官网拍也行，没钱你跟我说什么真善忍，去尼玛的。一个用户名5000美金就好了。这都买不起。说明法论功是邪教
👍11👏2😁2
重疾缠身 难以露面 李洪志无法掩盖的真相 年来，外界难觅李洪志踪影，许久未见其真容，对于热衷在法轮大法弟子面前讲法的他来说，似乎有违“常理”。所谓事出反常必有妖，结合各种消息，其实还是可以找出李洪志不再露面的真实原因，而这一切都始于李洪志感染新冠，身体早已每况愈下。 2020年3月，纽约州的新冠确诊病例就超过10万，死亡数量近万，而李洪志和他的大本营龙泉寺就在纽约州。当时，有美国的知情人士爆料，法轮功龙泉寺已有50多人感染了“流感”，5名重症患者死亡，死者的临床症状与新冠肺炎非常相似。并且，当时在网上也不断传出李洪志因在龙泉寺接见了神韵艺术团，导致感染新冠病毒，出现咳嗽、发烧等症状，并且紧急就医，但龙泉寺隐瞒了这一消息。试想，如果只是流感，龙泉寺为何要隐瞒。而就在2020年3月24日，法轮功媒体大纪元刊登《师父为拯救世人主动感染中共肺炎帮助全球渡劫》一文，但此文在发布后不久即被撤掉。这种种迹象恰恰说明李洪志在当时确实感染了…
👍10❤4
Photo, posted without a caption
可恨“法轮功” 不祛病反要命 ■ 樊梨 已经是午夜12点，仍然没有一点睡意，明天就是我丈夫的生日，也是他的忌辰。每每想到丈夫的早逝，我便心如刀绞，悔恨不已，都怪万恶的“法轮功”邪教，害了我丈夫的性命！ 携手挚爱 幸福人生 我叫王语兰（化名），出生在小村庄。我在家中排行最小，有4个哥哥姐姐，因为是女孩，读完初中就被迫辍学在家，从小受父母的影响，相信世上有鬼神的存在。 1991年，我与青梅竹马的平哥结婚。婚后我们夫妻恩爱，相敬如宾，不久后两个儿子陆续降临，给家庭增添了欢声笑语。为了让两个孩子过上好日子，我们夫妇开了一间服装店兼卖电器，起早贪黑，不辞辛苦，拼命挣钱，顺利地供养两个小孩子上学，虽然没有大富大贵，但一家人和和美美。 错信邪神 种下祸根 1998年9月，丈夫在村民荣伯的怂恿下开始接触“法轮功”邪教。丈夫说自从练功后，以前的腰痛、肩痛、颈椎痛都缓解了，便怂恿我也一起练。我心想我们这么恩爱，肯定是对我有益的事情丈夫才…
👍7
Showing the 12 most recent of 15 posts we hold for @falungong. 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 — 1,199,202 of 1,345,403entries 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.
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.
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“剿灭法论功，审判李洪志” (@falungong), 127 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/falungong.
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.