Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 59% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (1 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 29 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 4, the earliest publisher we hold is @xsfpType. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
11 measurements spanning 32 days, net -319. 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 8,070–8,485 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Sept 2026, 02:15
8,118
-34
2 Sept 2026, 17:59
8,152
-15
31 Aug 2026, 02:54
8,167
-22
27 Aug 2026, 18:14
8,189
-38
24 Aug 2026, 10:26
8,227
-58
20 Aug 2026, 07:53
8,285
-38
16 Aug 2026, 22:34
8,323
-40
13 Aug 2026, 12:46
8,363
-42
10 Aug 2026, 10:20
8,405
-32
7 Aug 2026, 14:21
8,437
no change
7 Aug 2026, 11:32
8,437
first reading
Engagement
131 posts held, back to 29 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 24 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.40%
avg views ÷ 8,118 subscribers
Avg views / post
114
75 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
75
of 131 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 28 August 2026
Posts held
131 (29 July 2026 – 28 August 2026)
Views total
8,545
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 18:26 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
34s
Average length
34s
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.
៕ #FACT
―――——
"خندهدارترین عادت پنهانی هر تایپ"
ـ INFP همون تایپیه که وقتی ناراحته، یه فیلم غمگین پلی میکنه که بیشتر گریه کنه.
ـ INFJ همون تایپیه که حتی وقتی کسی چیزی نگفته، تو ذهنش جواب همه سؤالهای احتمالی رو آماده کرده.
ـ ENFP همون تایپیه که وسط حرف زدنش موضوع عوض میکنه و دیگه یادش نمیاد اول چی میگفت.
ـ ENFJ همون تایپیه که تو ذهنش مکالمه رو بارها تمرین میکنه، بعد تو واقعیت یه چیز دیگه میگه.
ـ ISFP همون …
៕ #Fact
―――——
"کدوم تایپها زودتر عاشق میشن و کدوم دیرتر؟"
ـ ENFP همون تایپیه که یه نگاه کنی دل میبازه، فرداش دیگه براش خاطرهست.
ـ INFJ همون تایپیه که قبل از عاشق شدن ۵۰ تا نشونه میخواد ببینه و تازه بعدش شک میکنه.
ـ ESFP همون تایپیه که توی یه مهمونی عاشق میشه، وسط مهمونی قهر میکنه، آخر مهمونی دوباره آشتی میکنه.
ـ INTJ همون تایپیه که تا عاشق بشه ۴ سال میره روی پروژه "تحلیل شخصیت" طرف.
ـ INFP همون تایپیه که…
៕ #FUN
―――——
• طبق تایپ شخصیتیت روحت چطور به نظر میرسه؟
ـ INFP : بارون
ـ INTP : طوفان برف
ـ ISFP : برگ ریزون پاییز
ـ INFJ : آبشار
ـ ISFJ : رودخونه
ـ ISTJ : باریدن برف
ـ ISTP : شب
ـ INTJ : صدای عمیق
ـ ENTJ : امواج اقیانوس
ـ ESTJ : گرد باد
ـ ENFP : آواز پرنده ها
ـ ESFJ : تابستون
ـ ESTP : آتیش
ـ ENFJ : جنگل
ـ ESFP : باد
ـ ENTP : رعد و برق
―――———―――————―――
ᚚ @MBTISUB . #AllTypes
៕ #FUN
―――——
• تایپها وقتی پدر مادرشون خونه نیستن :
ـ #ESTJ + #ENTJ : تو خونه حکمرانی میکنن.
ـ #ENTP + #ESTP : خونه رو با پارتیهایی که میگیرن منفجر میکنن.
ـ #ISTJ + #INTJ : با entp و estp دعواشون میشه و کسایی که به پارتی اومدن رو از خونه میندازن بیرون.
ـ #INFP + #ISFP : همه رو به آرامش دعوت میکنن و سعی میکنن اوضاع رو درست کنن.
ـ #ISFJ + #INFJ : فاجعه رو مرتب میکنن و سر هرکس که تو خونه هست غر میزنن.
ـ #ESFP …
Showing the 12 most recent of 131 posts we hold for @mbtimoodi. 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
@mbtimoodi 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
25 August 2026
Most recent edit
25 August 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
اونایی که شغل اینترنتی بدون سرمایه میخواستن اومدن؟
آره.0%
نه صبر کن جوین بدم.0%
Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 131 most recent posts we hold, published 29 July 2026 to 28 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
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.
Mentions
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@mbtimoodi 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@mbtiswpub named in 2 posts, 23 August 2026 – 26 August 2026
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
امبیتیآی دیلی. @OurMbtiDaily · 30,567 Telegram ranks this channel #9 of 58 here — alongside 57 others — read 7 September 2026
MBTI Universe. @mbtiuniverse · 51,445 Telegram ranks this channel #9 of 75 here — alongside 74 others — read 24 August 2026
𝐌𝐞𝐨𝐰 𝐌𝐁𝐓𝐈 ִֶָ ☁️ @meowmbti · 44,457 Telegram ranks this channel #12 of 57 here — alongside 56 others — read 27 August 2026
𝐘𝐀𝐍.𝐏𝐋𝐀𝐘𝐒 بازی و تست @MakeYourCharacter · 112,675 Telegram ranks this channel #19 of 58 here — alongside 57 others — read 18 August 2026
𝗀𝖺𝗆𝖾. @TheGamepc · 104,680 Telegram ranks this channel #19 of 61 here — alongside 60 others — read 16 August 2026
⊰ Good Reads⛄ کتاب @CityOfBooks · 71,794 Telegram ranks this channel #21 of 76 here — alongside 75 others — read 20 August 2026
آرت پروفایل @whoseartprofile · 55,669 Telegram ranks this channel #23 of 69 here — alongside 68 others — read 23 August 2026
Verse Vibes| 🖤 @Lyricsteach · 40,916 Telegram ranks this channel #31 of 56 here — alongside 55 others — read 30 August 2026
﮼انجمننهنگهاینَوازنده؛ @Dayan_Zhakaw · 33,075 Telegram ranks this channel #33 of 64 here — alongside 63 others — read 4 September 2026
explore @explorextelegram · 80,785 Telegram ranks this channel #35 of 57 here — alongside 56 others — read 18 August 2026
POV @samepov · 47,601 Telegram ranks this channel #36 of 61 here — alongside 60 others — read 27 August 2026
دلقکِ عنکبوتی @spiiderclown · 97,011 Telegram ranks this channel #36 of 59 here — alongside 58 others — read 18 August 2026
خوشگله ناراحت نباشیاااا @clownText · 15 Telegram ranks this channel #39 of 56 here — alongside 55 others — read 16 August 2026
هنر و دیوانگی | نقاشی @VincentVangoghArts · 30,544 Telegram ranks this channel #40 of 60 here — alongside 59 others — read 7 September 2026
saba.music3 @sabamusic3 · 32,867 Telegram ranks this channel #41 of 59 here — alongside 58 others — read 4 September 2026
قفل @EveryPov · 143 Telegram ranks this channel #41 of 77 here — alongside 76 others — read 16 August 2026
Star Me @starme69 · 239,421 Telegram ranks this channel #45 of 60 here — alongside 59 others — read 24 August 2026
⋆ 𝗆𝖾 𝗇 𝗐𝗁𝗈 ?! @mexxyoux · 97,265 Telegram ranks this channel #51 of 52 here — alongside 51 others — read 15 August 2026
کتابخونه شیوان. @Horriblygood · 60,537 Telegram ranks this channel #54 of 66 here — alongside 65 others — read 23 August 2026
قفل @aviothicw · 144 Telegram ranks this channel #55 of 73 here — alongside 72 others — read 31 August 2026
•اسامیوکلماتخاص|takoj• @Takotesubo · 58,613 Telegram ranks this channel #59 of 72 here — alongside 71 others — read 22 August 2026
سبز. @ThisIsFuckingGreen · 205,779 Telegram ranks this channel #62 of 74 here — alongside 73 others — read 15 August 2026
هُبوط @Hubottt · 85,884 Telegram ranks this channel #64 of 71 here — alongside 70 others — read 18 August 2026
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“𝙈𝙗𝙩𝙞 𝙈𝙤𝙤𝙙𝙞 ࿐” (@mbtimoodi), 8,118 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/mbtimoodi.
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.