Channel
@mmmq2564
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
48subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001435032349 |
|---|---|
| Type | Channel |
| Username | @mmmq2564 |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/mmmq2564 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 22:35 | 48 | -2 |
| 10 Aug 2026, 11:46 | 50 | no change |
| 7 Aug 2026, 22:09 | 50 | first reading |
20 posts held, back to 8 July 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 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 9 August 2026 |
|---|---|
| Posts held | 20 (8 July 2026 – 9 August 2026) |
| Views total | 31 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 11:46 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.
Measured directly from 4 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.
佛曆2569.8.8（星期六）標籤：#修行生活 標題：《黑彌撒──唯物論底下的「陰謀論」與抹黑記憶》Black Mass - Erase Memory ＆ Conspiracy Theory Under Materialism 一葉知秋！看見「冰山一角」的這個人，而不能想到還有其他的「百分之九十九」嗎？ 不是「毫無常識」就是智障！（或兩者皆是？） 「陰謀」是現實（如冰山一角），「論」是理論（如龜毛兔角），兩者相背 ➠ 是「陰謀」就不是「論」，是「論」就不是「陰謀」，並無所謂「陰謀論」！ 亂扣帽子、抹黑別人是〝陰謀論〞……乃至〝虛假記憶〞（False Memory）？ 其實說明，他自己才是「此地無銀三百兩」圖謀不軌的那個人──正在玩弄「煤氣燈效應」（Gaslighting）隱秘操控媒體、剝奪弱勢者揭露的機制、令社會大眾或受害者甚至懷疑自己所見所聞的見證。（全文完） ～❦❧ 語音檔：《黑彌撒──唯物論底下的「陰謀論」與抹…
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語音檔：《黑彌撒──唯物論底下的「陰謀論」與抹黑記憶》2569-08-08.mp3 https://t.me/happy640213/3547 影片檔：《黑彌撒──唯物論底下的「陰謀論」與抹黑記憶》2569-08-08.mp4 https://t.me/happy640213/3548 文字稿： https://t.me/happy640213/3546
佛曆2569.8.4（星期二）標籤：#修行生活 標題：《理論與現實》Theory and Reality 【佛子：】請用簡單的話來說：什麼是「理論」？ 【ＡＩ：】「理論」就是一套用來解釋事情、預測會怎麼發生的想法或說法；它把很多複雜現象，用比較簡單的規則或假設整理起來。 【佛子：】同樣的，請以簡單的話來說：什麼是「現實」？ 【ＡＩ：】「現實」就是事情真的在發生的樣子：它有很多你沒辦法控制、也沒辦法完全預測的因素。 【佛子：】如果依原始佛法來說，你要怎麼解釋「現實」呢？ 【ＡＩ：】依原始佛法的精神來說，「現實」不是指一個固定不變、讓人抓住的東西；而是你此刻能直接體驗到的「正在發生」的過程。簡單講有三點： 一切都在變：你看到、感覺到的東西會生起、存在一段時間、然後消失。 會造成痛苦的是「執取」：把無常的東西當成可以掌控、可以永遠擁有，就容易焦慮、失望或痛。 認清就能減苦：用正念去如實觀察身心的生滅（例如苦、喜、…
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語音檔：《理論與現實》2569-08-04.mp3 https://t.me/happy640213/3542 影片檔：《理論與現實》2569-08-04.mp4 https://t.me/happy640213/3543 文字稿： https://t.me/happy640213/3544
佛曆2569.8.3（星期一） 標籤：#修行生活 標題：《敵基督與偏執狂》Antichrists and Paranoia 【ＡＩ：】你這句「敵基督與偏執狂」可以用兩個常見角度來理解（看你想談哪一個）： 宗教／末世敘事的「敵基督」 「敵基督」通常指一種反對或冒充基督、在末世登場並帶來欺騙與混亂的角色或象徵。常見描寫會強調：吸引人、操弄信念、製造分裂，讓人落入「看似有理但實際上在誤導」的判斷框架。 心理學／臨床語境的「偏執狂」 偏執（常見說法也包括妄想性思維）指的是高度固著、難以被相反證據動搖的信念；其核心不是「對某件事想太多」而已，而是信念的證據標準非常封閉，常伴隨敵意、被害感、或過度解釋。 把兩者放在一起時，常見的敘事張力是：「敵基督的欺騙」如何利用人的恐懼與不安全感，讓觀眾／角色的信念一步步變成難以糾正的偏執；或反過來，偏執狂的人更容易被那些「看起來能解釋一切」的敘事所吸附。 你是想問： 這兩個詞在某本書／電…
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語音檔：《敵基督與偏執狂》2569-08-03.mp3 https://t.me/happy640213/3537 影片檔：《敵基督與偏執狂》2569-08-03.mp4 https://t.me/happy640213/3538 文字稿： https://t.me/happy640213/3539
佛曆2569.8.1（六） #修行生活 《主義？》Ideology? ☁ ［西方犯了〝大頭症〞☞ 智那也有樣學樣……？］ 先入為主的觀念，叫做「主義」。 ☭☣ 換言之，「主義」只能帶來奴役，並非「自由」； 所以，並不存在《自由主義》這一回事。 卍 卍 卍 《念佛？》Pray to Buddha? 【檀越：】「要唸『南無佛』？」 【尊者：】「三皈五戒之首，善哉！善哉！」 【檀越：】「唸『阿彌陀佛』可以嗎？」 【尊者：】「修佛是要讓人放下『執念』，恢復『自由』； 如果執意念『阿彌陀佛』不是讓你更執著嘛？ 這樣要怎麼『解脫』（得到真正的──自由和福祉）呢？」（完） ～❤ https://t.me/happy640213/3536 https://gettr.com/post/p42dd3re7e9 https://truthsocial.com/@fuzi2568/117020150048689348
佛曆2569.7.28（二） #修行生活 《我思故我在 ＶＳ. 原始佛法》 【佛子：】笛卡爾的《我思故我在》？（請簡答！） 【ＡＩ：】笛卡爾的《我思故我在》（Cogito, ergo sum）是他的哲學命題，意思是：只要我在思考，我就能確定自己存在。 【佛子：】必先確定「思考」的所緣境，從哪裡來？才能確定「思考」是否「存在」？如果連「『思考』的所緣境」亦生滅無常！如何確定「思考」或「自己」是否「存在」？（請精簡回答！） 【ＡＩ：】笛卡爾不是先證明「思考的所緣」才下結論；他把「思考」當作一種不可懷疑的事實來抓取：即使內容都可能錯、連所緣都可能不穩，但只要懷疑／思考正在發生，就不能同時否認它正在發生。因此所謂「自己存在」是指：思考的發生本身的存在，不是指可驗證的外在所緣或永恆不變的自我本體。 【佛子：】「『思考』的所緣境」亦即「思考」的本身，也就是說：這是迴避不掉「問題」的本身！發起這個問題的「思考」本身，既是所緣境，…
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Showing the 12 most recent of 20 posts we hold for @mmmq2564. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“心 法師的修行語錄 Mind Master’s Meditation Quotations” (@mmmq2564), 48 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/mmmq2564.
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.