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Telegram profile photo for 𝗦𝘂𝘀𝗵𝗶 :𝗖𝗮𝗿𝘁𝗼𝗼𝗻 𝗖𝗵𝗮𝗻𝗻𝗲𝗹

Channel

𝗦𝘂𝘀𝗵𝗶 :𝗖𝗮𝗿𝘁𝗼𝗼𝗻 𝗖𝗵𝗮𝗻𝗻𝗲𝗹

@Sushi_Cartoon_Channel

On this record: Topic ¡ Observations ¡ Also posting the same content ¡ Growth ¡ Engagement ¡ What this channel posts ¡ Reactions ¡ Posts ¡ Posts edited after publishing ¡ Polls ¡ Citations ¡ Cite this entry

88,253subscribers

-7,197 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002229317145
TypeChannel
Username@Sushi_Cartoon_Channel
Description𝐀𝐥𝐥 𝐂𝐫𝐞𝐝𝐢𝐭𝐬 𝐓𝐨 𝐎𝐫𝐢𝐠𝐢𝐧𝐚𝐥 𝐎𝐰𝐧𝐞𝐫𝐬 >< 𝗢𝘄𝗻𝗲𝗿 𝗗𝗺 - @SUSHII45
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/Sushi_Cartoon_Channel

Topic

Film & TV — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 2 other registered channels. They sit inside a group of 6 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Sushi_Cartoon_Channel/8773 ¡ this entry5 Aug 2026, 11:47 UTC@cartoon_mmsub_2006/74675 Aug 2026, 11:47 UTC1.00under a minute
@cartoon_mmsub_2006/74796 Aug 2026, 06:58 UTC@Sushi_Cartoon_Channel/8785 ¡ this entry6 Aug 2026, 06:58 UTC1.00under a minute
@Sushi_Cartoon_Channel/8789 ¡ this entry6 Aug 2026, 13:11 UTC@cartoon_mmsub_2006/74826 Aug 2026, 13:11 UTC1.00under a minute
@Sushi_Cartoon_Channel/8791 ¡ this entry6 Aug 2026, 13:24 UTC@cartoon_mmsub_2006/74846 Aug 2026, 13:24 UTC1.00under a minute
@cartoon_mmsub_2006/74907 Aug 2026, 11:43 UTC@Sushi_Cartoon_Channel/8797 ¡ this entry7 Aug 2026, 11:43 UTC1.00under a minute
@Sushi_Anime_Channel/47166 Aug 2026, 06:58 UTC@Sushi_Cartoon_Channel/8785 ¡ this entry6 Aug 2026, 06:58 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@cartoon_mmsub_200611 (8/8 hand-verifiable sample passed)1.00under a minute@cartoon_mmsub_2006 (11–0)
@Sushi_Anime_Channel7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (4–3)

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. 12 of the 13 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 5 August 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 6, the earliest publisher we hold is @Sushi_Horror_Night. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · 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 5 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.

Growth

88,25395,45091,851.57 August 2026 — 95,450 subscribers7 August 2026 — 95,450 subscribers7 August 2026 — 94,607 subscribers8 August 2026 — 94,447 subscribers9 August 2026 — 94,385 subscribers10 August 2026 — 94,187 subscribers11 August 2026 — 94,021 subscribers12 August 2026 — 93,640 subscribers14 August 2026 — 92,990 subscribers15 August 2026 — 92,632 subscribers17 August 2026 — 92,127 subscribers18 August 2026 — 91,896 subscribers19 August 2026 — 91,465 subscribers20 August 2026 — 91,372 subscribers21 August 2026 — 91,240 subscribers23 August 2026 — 91,413 subscribers24 August 2026 — 91,286 subscribers25 August 2026 — 90,712 subscribers26 August 2026 — 90,508 subscribers27 August 2026 — 90,420 subscribers28 August 2026 — 90,255 subscribers29 August 2026 — 90,182 subscribers30 August 2026 — 90,031 subscribers31 August 2026 — 89,845 subscribers1 September 2026 — 89,715 subscribers2 September 2026 — 89,527 subscribers4 September 2026 — 89,043 subscribers6 September 2026 — 88,253 subscribers7 August 20266 September 2026
28 measurements spanning 30 days, net -7,197. 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 87,173–96,530 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
6 Sept 2026, 13:0188,253-790
4 Sept 2026, 00:3989,043-484
2 Sept 2026, 15:0689,527-188
1 Sept 2026, 11:1489,715-130
31 Aug 2026, 13:1989,845-186
30 Aug 2026, 13:1590,031-151
29 Aug 2026, 14:5490,182-73
28 Aug 2026, 15:3390,255-165
27 Aug 2026, 17:3590,420-88
26 Aug 2026, 14:3490,508-204
25 Aug 2026, 16:3890,712-574
24 Aug 2026, 14:5591,286-127
23 Aug 2026, 00:0391,413+173
21 Aug 2026, 12:1391,240-132
20 Aug 2026, 09:0291,372-93
19 Aug 2026, 12:3591,465-431
18 Aug 2026, 09:0391,896-231
17 Aug 2026, 11:0792,127-505
15 Aug 2026, 19:1492,632-358
14 Aug 2026, 08:2692,990first reading

Engagement

350 posts held, back to 5 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 93 pages of Telegram’s post history, 20 posts per page.

ERR ¡ 30 days
0.398%
avg views á 88,253 subscribers
Avg views / post
351
311 posts measured
Reaction rate
0.499%
reactions á views ¡ ER floor
Posts in window
311
of 350 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. It is computed over the 84 of 311 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days ¡ latest post in window 8 September 2026
Posts held350 (5 August 2026 – 8 September 2026)
Views total109,191
Reactions total216
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Sept 2026, 22:54 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
≈1,480
Videos
≈196
Links
≈1,390

Lifetime counters from Telegram’s own channel header, read 8 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
5m 05s
Average length
10s

Measured directly from 30 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

293 reactions across 101 posts, in 10 distinct kinds. The most used accounts for 61.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤17961.1%
👍3813.0%
🔥3712.6%
💔165.46%
😢103.41%
❤‍🔥51.71%
🐳31.02%
🥰31.02%
🍓10.341%
💯10.341%

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 104 of the 350 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 293 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 350 most recent posts we hold, published 5 August 2026 to 8 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.

Recent posts

8 Sept 2026, 12:15 UTC418 viewsread 8 September 2026
Photo

Telegram Premium & Star တခြားသောpremium များကို အမြန်ဆုံး၊ အသက်သာဆုံး၊ အယုံကြည်ရဆုံး မို့resell gp လေးကိုjoinပီးလာဝယ်လိုက်တော့နော်👎 🔤🔤🔤😉😌😍🥰 ✅1 Month ➡️19000 Ks ( Login Plan ) 🎁 3 𝐌𝐨𝐧𝐭𝐡𝐬 ➡️ 52500 𝐊𝐬 ( Gift Plan ) 🎁 6 𝐌𝐨𝐧𝐭𝐡𝐬 ➡️ 70000 𝐊s (Gift Plan ) 🎁 12 𝐌𝐨𝐧𝐭𝐡𝐬 ➡️ 127000 𝐊𝐬 ( Gift Plan ) Telegram Star 🧡 50 ➡️3800 ks 100 ➡️7600 ks 150 ➡️11400 ks 200 ➡️ 15200 ks 300 ➡️ 22800 ks 500 ➡️ 38000 ks 1000 ➡️ 76000 ks …

8 Sept 2026, 10:50 UTC364 viewsread 8 September 2026
Photo

Castle in the Sky [1986] Review 🗒 ရွာငယ်လေးတစ်ရွာက အသက် ၁၃ နှစ်အရွယ် မိဘမဲ့ကောင်လေး Pazu က တစ်နေ့မှာ မိုးပေါ်ကနေပြုတ်ကျလာတဲ့ Sheeta ဆိုတဲ့ ကောင်မလေးနဲ့ တွေ့ဆုံမိပြီး ခင်မိခဲ့ကြပါတယ်။ Sheeta ဟာ ကောင်းကင်ကျွန်းက ရတနာတွေပြည့်နှက်နေတဲ့ Laputa ရဲတိုက်ကြီးနဲ့ ချိတ်ဆက်နေတဲ့ သူ့ရဲ့ဆွဲသီးလေးကိုလိုချင်နေတဲ့ အစိုးရနဲ့ ဓားပြတွေဆီကနေ ထွက်ပြေးလာခဲ့ကြောင်း Pazu ကို ပြောပြခဲ့ပါတယ်။ ရတနာတွေကို ရယူဖို့ Sheeta ကိုလိုက်ဖမ်းနေတဲ့ အစိ…

8 Sept 2026, 10:50 UTC256 viewsread 8 September 2026
Photo

Howl's Moving Castle [2004] Review 🗒 ဒီတစ်ခါတင်ဆက်ပေးမှာကတော့ ရွေ့လျားနေတဲ့ရဲတိုက်ကြီးဆိုပြီး နာမည်ကြီးလှတဲ့ Howl's Moving Castle ပဲ ဖြစ်ပါတယ်။ ဇာတ်လမ်းလေးမှာ ဖိနပ်ချုပ်သမားရဲ့ သမီးဖြစ်သူ Sophie ဟာ သူ့ဆိုင်မှာနေရင်း အလုပ်ကြိုစားလုပ်ကိုင်နေတဲ့သူတစ်ယောက်ပါ။ တစ်နေ့တော့ အကျပ်အတည်းနဲ့ကြုံနေတုန်း လျှို့ဝှက်ဆန်းကြယ် မှော်ဆရာလေး Howl က သူ(မ) ကိုကယ်တင်ခဲ့ပါတယ်။ သူတို့နှစ်ဦးချစ်ကြိုက်သွားမှာကို မလိုလားတဲ့ စုန်းမကြီးတစ်ယောက…

8 Sept 2026, 10:50 UTC126 viewsread 8 September 2026
Forwarded from @ToePwarofficalPhoto

➡️အွန်းလိုင်းဂိမ်းကိုမှ ကစားချင်တဲ့လူကြီးမင်းတို့ အတွက် 💰ငွေကြေးပိုင် 💯စိတ်ချရပြီ ➡️စလော့ /ကျွဲ/အဖိုးကြီး /ရှမ်း /ဘူကြီး ဂိမ်းပေါင်းများစွာကို ဆော့ကစားနိုင်ပါတယ်ရှင့်⚡️ ➡️စိတ်ချမ်းသာမှု ရစေဖို့ 📣တိုးပွား စလော့ ကစားစို့ 🤩🤩🤩🤩🤩🤩🤩 စလော့မှာ- - အထူးဘောနပ် ပရိုမိုးရှင်းဘောနပ်- 🥰စလော့ ဘောနပ် 300% 🥰ရှမ်း ဘောနပ် 100% 🥰နေ့စဉ်ရှုံးကြေး 10% 🥰သူငယ်ချင်းမိတ်ဆက် 3000 🥰🥰ကျွဲ ဆိုမှ ကျွဲ (ကိုယ်တိုင် 🥰🥰အကောင့်ဖွင့် …

8 Sept 2026, 10:49 UTC162 viewsread 8 September 2026
Photo

The Secrect world of Arrietty[2010] Review 🗒 ဒီတစ်ခါကတော့ Studio Ghibili ရဲ့ လက်ရာတစ်ခုဖြစ်ပြီး လူကြိုက်များတဲ့ The secret World of Arrietty နဲ့ မိတ်ဆက်ပေးပါမယ်။ ကမ္ဘာကြီးပေါ်မှာ ၁၀ စင်တီမီတာသာရှိတဲ့ လူသေးသေးလေး မျိုးနွယ်စုတွေရှိကြပါတယ်။ သူတို့ဟာ အိမ်တွေရဲ့ ကြမ်းခင်းတို့ ဘာတို့အောက်မှာ နေထိုင်ကြပြီး သူတို့က သူ့တို့ကိုယ်သူတို့ ချေးငှားသူတွေလို့ခေါ်ကြကာ လူတွေဆီကနေ သကြားခဲတို့၊ လက်ဖက်ရွက်တို့၊ ဆားခဲတို့ကို လူမသိအောင်ယ…

8 Sept 2026, 10:49 UTC147 viewsread 8 September 2026
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The Garden of Words [2013] Review 🗒 ဒီဇာတ်ကားထဲမှာ အသက်၁၅နှစ်အရွယ် အထက်တန်းကျောင်းသား Takao က ဖိနပ်လုပ်သမားဖြစ်ချင်တဲ့ ကောင်လေးတစ်ယောက်ပေါ့။ မိုးရွာတဲ့မနက်ခင်းတိုင်း ကျောင်းပြေးပြီး Tokyo မြို့လယ်ခေါင်ကပန်းခြံထဲမှာ ဖိနပ်ဒီဇိုင်းဆွဲနေရတာကိုနှစ်သက်တဲ့သူပေါ့။ တစ်နေ့တော့ သူဒီဇိုင်းဆွဲနေကြနေရာမှာ သူ့ထက်အသက်ကြီးပြီး Yukino လို့ခေါ်တဲ့ ထူးဆန်းတဲ့မိန်းကလေးတစ်ယောက်နဲ့ဆုံတွေ့ခဲ့ရတယ်။ မိုးရွာတဲ့မနက်ခင်းတိုင်း အမြဲတွေ့ဆုံနေတဲ…

8 Sept 2026, 10:49 UTC87 viewsread 8 September 2026
Forwarded from @OfficialHtawBPhoto

🔺 နိုင်ငံတကာ အသိမှတ်ပြု ရထားပြီး အရော်စားမှာ မှန်ကန် ယုံကြည် စိတ်ချရတဲ့ Online Game Website ကြီးတစ်ခု နဲ့ သူဌေးလောင်းတို့တွက် မိတ်ဆက်ပေးပါရစေရှင့် 🤩 ✅ 🆗 👍 🆗 🤩 🆗 👍 🆗 🔺Club388 စလော့ ( ရှယ်ထုတ်များ ချန်နယ်မှာ ဝင်စစ်ပါ ) 🔺M9 ရှမ်းကိုးမီး (ရွှေမြန်မာတို့အကြိုက်) 🔺African Buffalo ( အထူးပြောစရာမလိုတဲ့ ကျွဲဂိမ်း စစ်စစ်) မန်ဘာသစ်ဘောနပ်များ 😀 ( 5000 သွင်း 15000 အပို ) စလော့ 😀 ( 10000 သွင်း 10000 အပို ) ရှမ်းက…

8 Sept 2026, 10:48 UTC140 viewsread 8 September 2026
Photo

Your Name [2016] 🇯🇵 Kimi no na wa [2016] ဒါလေးကတော့ ကျွန်မရဲ့အကြိုက်ဆုံး Anime Movie လေးပေါ့နော်🩵 Review 🗒 ဇာတ်လမ်းအစမှာသဘာဝလွန်ဖြစ်ရပ်ဆန်းနဲ့ စတယ်…တိုကျိုမှာနေတဲ့အထက်တန်းကျောင်း သားလေး နဲ့ နယ်မြိုလေးကကောင်မလေး တိုဟာ ခန္ဓာကိုယ်ချင်းလဲသွားကြသတဲ့…အမှန် က ခန္ဓာကိုယ်လဲတယ်ဆိုတာထက်စိတ်ချင်းလဲ သွားတယ်ဆို ပိုမှန်ပါတယ်…သူတိုနှစ်ယောက်လုံး ဒီအဖြစ်ဆန်းကြီးကို အဖြေရှာဖို ကြိုးစားကြပါတော့တယ်.. ဒါပေမဲ့ ပြသနာက ခန္ဓာကိုယ်ချင်း(စိ…

8 Sept 2026, 10:48 UTC119 viewsread 8 September 2026
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Ponyo [2006] Review 🗒 သဘောသားတစ်ဦးရဲ့အသက်၅နှစ်သာရှိတဲ့ သားလေးဟာ သူ့အမေနဲ့အတူပင်လယ်နားက တောင်ကုန်းလေးမှာ နေထိုင်တယ်။တစ်နေ့မှာ မမျှော်လင့်ပဲ ရွှေငါးလေးတစ်ကောင်ကို တွေ့ရှိခဲ့တယ်အဲ့ရွှေငါးလေးဟာ ရိုးရိုးငါးလေးမဟုတ်ပဲငါးတစ်ပိုင်းလူတစ်ပိုင်း ဖြစ်ပြီး ဆိုဆုကီဆိုတဲ့ ကောင်လေးကိုသံယောဇဉ် တွယ်မိတယ် ဆိုဆုကီပေးထားတဲ့ပွန်းညို ဆိုတဲ့ နာမည်လေးနဲ့ လူသားတွေအနားမှာ နေခဲ့တယ်လူသားတွေကို မုန်းတဲ့ ပွန်းညို အဖေကသူ့သမီးလေးကို ဆိုဆုကီ ဆီကနေ …

8 Sept 2026, 10:46 UTC77 viewsread 8 September 2026
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🛎ကီးကိုက်တဲ့နေရာရှာရင် ဒီမှာအရင်ကံစမ်းကြည့်လိုက် ကီးကိုက်ပြီး အနိုင်တွေပိုက်သွားနိုင်တယ်😉 💬💬💬💬💬💬💬💬💬💬💬💬💬 🔥ထိပ်ဆုံးကနေ အိတ်တစ်လုံးနဲ့ အနိုင်တွေရယူချင်ရင် TOP ONE ကိုသာလာခဲ့လိုက်တော့နော်🏆 📱📱 Viber /Telegram - 09777978192 ⬇️ဘောနပ်ရယူရန်⬇️

8 Sept 2026, 10:45 UTC109 viewsread 8 September 2026
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Only Yesterday [1991] Review 🗒 ပုံမှန် Animation ရုပ်ရှင်တွေက ကွဲလွဲနေတဲ့အချက်ကတော့ အရွယ်ရောက်ပြီးသူ အမျိုးသမီးတွေအတွက် ရည်ရွယ်ထားတဲ့ သရုပ်မှန် Drama လေးတစ်ပုဒ်ဖြစ်နေတာပါပဲ။ Box Office မှာလည်း အံ့သြစရာကောင်းလောက်အောင် အောင်မြင်ခဲ့ပြီးတော့ အရွယ်ရောက်ပြီးသူအမျိုးသား အမျိုးသမီးတွေက တခဲနက် အားပေးခဲ့ကြတဲ့အတွက် ဂျပန်နိုင်ငံမှာ ဝင်ငွေအများဆုံး ဇာတ်ကားတစ်ကားဖြစ်ပါတယ်။ IMDB Rating က 7.6 ရရှိထားပြီး Rotten Tomato 100% ထိရရ…

8 Sept 2026, 10:45 UTC120 viewsread 8 September 2026
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Whisper of the Heart [1995] Review 🗒 Whisper of The Heart ဆိုတဲ့ ဇာတ်လမ်းလေးမှာ ၁၄နှစ်အရွယ် Shizuku Tsukishima ဆိုတဲ့ကောင်မလေးဟာ အားလပ်ချိန်တွေမှာ စာအုပ်တွေငှားရင်း စာတွေဖတ်ရှုလေ့ရှိပါတယ်။ တစ်ညနေခင်းတွင် သူငှားထားတဲ့စာအုပ်တိုင်းမှာ Seiji Amasawa အမည်ရှိ ကောင်လေးလည်း အမြဲဖတ်မှန်းသိလိုက်ရတော့ Shizuku လည်း Seji ကို စိတ်ဝင်စားမိသွားတယ်။ တစ်နေ့တော့ Shizuku က ရထားပေါ်က ထူးဆန်းတဲ့ကြောင်လေး The Baron နောက်လိုက်ရင်း ရှေးဟေ…

Showing the 12 most recent of 350 posts we hold for @Sushi_Cartoon_Channel. 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

@Sushi_Cartoon_Channel 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
13 August 2026
Most recent edit
13 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.

31 Aug 2026, 14:03 UTCAnonymous Poll1,420 voters approx.

ချစ်မိ​နေပြီလား😮‍💨

  1. ချစ်မိ​နေပြီ🌟54%
  2. မချစ်မိပါဘူး😕34%
  3. မုန်းတယ်😾12%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

27 Aug 2026, 13:45 UTCAnonymous Poll2,610 voters approx.

ရည်းစားရှိလား🙃

  1. ရှိတယ်😘24%
  2. မရှိဘူး😭60%
  3. ရှိသလို" မရှိသလို" 🌟15%

Shares as published, totalling 99%. 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 350 most recent posts we hold, published 5 August 2026 to 8 September 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

Named by 6 registered channels — 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.

Names

Channels on the register whose handles appear in this channel's posts.

ထောဘီ Main Channel🤝
@OfficialHtawB ¡ 5,495
25 posts
ထောဘီ Channel
@HtawBOffical ¡ 762
22 posts
𝗦𝘂𝘀𝗵𝗶 𝗖𝗮𝗿𝘁𝗼𝗼𝗻 𝗠𝗺𝘀𝘂𝗯
@cartoon_anime_mmsub ¡ 22,280
15 posts
တိုးပွား official channel
@ToePwaroffical ¡ 1,415
14 posts
𝗦𝘂𝘀𝗵𝗶 𝗔𝗻𝗶𝗺𝗲 𝗠𝗺𝘀𝘂𝗯 𝟭
@mmsubanime2006 ¡ 30,788
11 posts
𝗦𝘂𝘀𝗵𝗶 𝗔𝗻𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗖𝗵𝗮𝗻𝗻𝗲𝗹
@Sushi_Anime_Series_Channel ¡ 11,793
9 posts
𝗦𝘂𝘀𝗵𝗶 - 𝗥𝗲𝗹𝗮𝘅 𝗬𝗼𝘂𝗿 𝗦𝗼𝘂𝗹
@Sushi_Relax_Your_Soul ¡ 27,663
5 posts
𝗦𝘂𝘀𝗵𝗶 𝗖𝗮𝗿𝘁𝗼𝗼𝗻 𝗖𝗵𝗮𝗻𝗻𝗲𝗹
@cartoon_mmsub_2006 ¡ 92,633
3 posts
𝗦𝘂𝘀𝗵𝗶 : 𝗔𝗱𝘀 𝗟𝗶𝘀𝘁
@Sushi_Ads ¡ 532
3 posts
𝗦𝘂𝘀𝗵𝗶 𝗔𝗻𝗶𝗺𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹
@Sushi_Anime_Channel ¡ 50,018
3 posts
𝗦𝘂𝘀𝗵𝗶 𝗔𝗻𝗶𝗺𝗲 𝗠𝘆𝗮𝗻𝗺𝗮𝗿
@Sushi_Anime_Myanmar ¡ 30,120
3 posts
𝗦𝘂𝘀𝗵𝗶 𝗖𝗮𝗿𝘁𝗼𝗼𝗻 𝗪𝗼𝗿𝗹𝗱
@Sushi_Cartoon_World ¡ 39,926
3 posts
𝗦𝘂𝘀𝗵𝗶: 𝗖𝗵𝗮𝗻𝗻𝗲𝗹 𝗦𝗲𝗹𝗹𝗶𝗻𝗴
@Sushi_ChannelSelling ¡ 2,296
3 posts
𝗦𝘂𝘀𝗵𝗶 : 𝗛𝗼𝗿𝗿𝗼𝗿 𝗡𝗶𝗴𝗵𝘁
@Sushi_Horror_Night ¡ 43,083
3 posts
𝗦𝘂𝘀𝗵𝗶 : 𝗠𝗮𝗿𝘃𝗲𝗹 𝗦𝘁𝘂𝗱𝗶𝗼𝘀
@Sushi_Marvel_Studio ¡ 30,527
3 posts
𝗦𝘂𝘀𝗵𝗶:𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗦𝗵𝗼𝗽 ><
@Sushi_Premium_Shop ¡ 591
3 posts
KoKo’s Daily Dose of Madness 🌏
@KoKos_Daily_Dose_of_Madness ¡ 1,893
1 post
Online make money
@ktgtL26 ¡ 105
1 post
777 ဒိုင်ချုပ် မူရင်း
@maynmar777 ¡ 12,758
1 post
Nge Nge’s Batman🦇 💎
@ngengebatman223 ¡ 1,605
1 post
𝗦𝘂𝘀𝗵𝗶 : 𝗠𝗼𝘃𝗶𝗲 𝗥𝗲𝘃𝗶𝗲𝘄
@Sushi_Ads_Pre_Ch ¡ 468
1 post
TOKI Store
@TOKIpupgstore ¡ 858
1 post

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.

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 6 September 2026 — this entry's latest reading, not the date you are reading this.

“𝗦𝘂𝘀𝗵𝗶 :𝗖𝗮𝗿𝘁𝗼𝗼𝗻 𝗖𝗵𝗮𝗻𝗻𝗲𝗹” (@Sushi_Cartoon_Channel), 88,253 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/Sushi_Cartoon_Channel.

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.