π π π π΄ππͺ https://t.me/Na_Dne_S_Sup https://t.me/Na_Dne_S_Sup https://t.me/Na_Dne_S_Sup ππππ£ππͺ
π3β€1

Channel
@simaijesdh
On this record: Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Cite this entry
18subscribers
+0 since we began measuring on 12 August 2026
Risers and fallers across the register Β· movement among entries of Under 1,000.
| Telegram ID | -1001826892690 |
|---|---|
| Type | Channel |
| Username | @simaijesdh |
| Description | . . . |
| Created | 2 March 2023 β measured β dated from the channelβs first post |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/simaijesdh |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 11:17 | 18 | no change |
| 12 Aug 2026, 11:04 | 18 | first reading |
12 posts held, back to 2 March 2023 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 1 pageof Telegramβs 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) Γ· viewsβ note the denominator is views, not subscribers. Telegramβs 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 Β· latest post in window 7 August 2026 |
|---|---|
| Posts held | 12 (2 March 2023 β 7 August 2026) |
| Views total | 19 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface β not measured, not estimated |
| Readings taken | 12 Aug 2026, 11:17 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 βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β 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 β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegramβs own channel header, read 12 August 2026 β not the date at the top of this page, which is when the subscriber count was last read. Below Telegramβs rounding threshold, so these counts are exact.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel β not this channelβs 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 Telegramβs own rounded chrome, so it carries no β mark.
376 reactions across 11 posts, in 20 distinct kinds. The most used accounts for 35.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| π | 133 | 35.4% | |
| β€ | 61 | 16.2% | |
| π | 38 | 10.1% | |
| π | 33 | 8.78% | |
| π | 16 | 4.26% | |
| π | 14 | 3.72% | |
| π | 12 | 3.19% | |
| π€ͺ | 12 | 3.19% | |
| β€βπ₯ | 10 | 2.66% | |
| π | 9 | 2.39% | |
| β‘ | 8 | 2.13% | |
| π | 8 | 2.13% | |
| π₯ | 8 | 2.13% | |
| π | 4 | 1.06% | |
| π | 3 | 0.798% | |
| π | 2 | 0.532% | |
| π© | 2 | 0.532% | |
| π | 1 | 0.266% | |
| π¨βπ» | 1 | 0.266% | |
| π€ | 1 | 0.266% |
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 11 of the 12 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 376reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 12 most recent posts we hold, published 2 March 2023 to 7 August 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.
π π π π΄ππͺ https://t.me/Na_Dne_S_Sup https://t.me/Na_Dne_S_Sup https://t.me/Na_Dne_S_Sup ππππ£ππͺ
π3β€1
@VoiceShazamBot | info
β€4β‘1β€βπ₯1π1π1
π€π€π€π€π π π π 1οΈβ£π π π€π€π€π€π€π€π€ π€©Π·Π΄Π΅ΡΡ ΡΡ ΠΌΠΎΠΆΠ΅ΡΡ Π½Π°ΠΏΠΈΡΠ°ΡΡ ΡΠ²ΠΎΠ΅ ΠΌΠ½Π΅Π½ΠΈΠ΅ ΠΎΠ±ΠΎ ΠΌΠ½Π΅. ΠΠ°, Π΄Π°ΠΆΠ΅ Π΅ΡΠ»ΠΈ ΠΌΡ Π½Π΅ Π·Π½Π°ΠΊΠΎΠΌΡ. ΠΠ°, Π΄Π°ΠΆΠ΅ Π΅ΡΠ»ΠΈ ΠΏΡΠΎΡΡΠΎ Ρ ΠΎΡΠ΅ΡΡ ΠΎΠ±ΠΎΡΡΠ°ΡΡ.π
β€9β€βπ₯3π3β‘1π1π¨βπ»1π₯1π1
ΠΠ°Ρ Π΄Π΅Π½Ρ ΡΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΎΠ΄Π½Ρ πππ
β€14π4π4π1π1
ππ©Έπ©Έπ©Έππ©Έπ©Έπ©Έπ©Έπ©ΈπΆ β€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈ β€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈπ β€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβ€οΈβββ ββββπ€©π€©π€©π€©π€© ββββ ββββπ€©π€©ππ ββββ π·πππ , ππππππππ‘ , πΊβππ π‘ , ππ¦ππ-π-πππππ‘ππ£π , πΌππ πππ πΆπππ€π πππ π π , πΈπ£ππππ πππππ , πΆπΈπππΌπ πΌππΈ , πππππππ π ππππ πΌπππ’ππππππ , ππππππ¦π ππππ ππ , π΄ππ πππ , π·πππ€ππππ ππππ , π ππππβπππ , π΄πππ₯ πΊ , πππ‘π ππ , π΄πππππππ πΏπππππ , πππππππ ππππ‘ππππ§ , ππ§πππ , π2π 1 , α΄Κα΄ΠΎα΄α΄¨ΠΎα΄©α΄ , children of bodom. π π€©π€©ββββββββ π€©π€©ββββββββ
β€12β€βπ₯6π3π2π1π1π₯1π1
π₯π©Έπ©Έπ©Έππ©Έπ©Έπ©Έππ©Έπ©Έπ©Έπππ½ π β Π±α΄§ΠΈΠ·α΄ΠΈΠΉ Ρα΄α΄§. ποΈ βᴨᴩоα΄α΄ΠΎ Π΄α΄©Ρᴦ/Π·Π½α΄α΄ΠΎΚΡΠΉ. π βΠ±ΡΚΙ―ΠΈΠΉ Π΄α΄©Ρᴦ. (p.s. ΠΏΡΠΈΠ²Π΅Ρ Π²Π°ΠΌ.) π βα΄¨α΄©ΠΎΡ ΠΎΠ΄ΡΡΠΈΠΉ ΚΠΈΚΠΎ. π βΙΈα΄Π½α΄α΄/ΠΏΠΎΠ΄ΠΏΠΈΡΡΠΈΠΊ. π€ͺ βΡ Π΅ΠΉΡΠ΅Ρ (Π² ΡΠΌΡΡΠ»Π΅ Ρ Π³ΠΎΠ²Π½ΠΎ Π² ΡΠΈΠΊΡΠΎΠΊΠ΅?). ππππππππππππ ππππ πππ πππππππ ππππππππ ππππππππ βββββπππ πβππππππ βπππππππ βοΈβοΈ βοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈ βοΈβοΈ
π120π38π26π14π€ͺ12π9π©2β‘1
πππ©Έπ©Έπ©Έπ©Έπ °οΈπ °οΈπ °οΈπ °οΈπ π€©πππππππππππ€© πα΄α΄Κα΄ π¦ , Κα΄Ι’α΄α΄Κ Ι΄α΄α΄Κπ€©, α΄α΄α΄ α΄α΄α΄Ι΄α΄π, sΚΙͺΙ΄α΄Ιͺβ, α΄Ιͺsα΄α΄α΄β, Κα΄α΄ Κπ, α΄Κα΄Ι΄π€©, α΄α΄ α΄‘α΄Κα΄ sα΄Ιͺssα΄ΚΚα΄Ι΄α΄ sπΆ, zanka π€© π©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έ ππππππππβββ πππππππππββ πππππππππππ πππππππππββ ππππππππ.
π9β‘3π1π1π1π1
π€©π °οΈπ °οΈπ °οΈπ °οΈπ °οΈπ °οΈπ °οΈπ£ πππππππππ πππππππππ πππππππ π Κα΄ΚΚα΄xβ α΄Κα΄ Κα΄ΚΚα΄xΙͺα΄: α΄Ι΄α΄ΙͺΚ α΄ α΄α΄‘Ι΄ (α΄Κα΄α΄ )π, Κα΄ΚΚα΄xΙͺα΄: α΄α΄ΚΚα΄α΄α΄Ιͺα΄Ι΄, α΄α΄‘Ι΄α΄α΄ ΚΚ 14:00, α΄ α΄α΄Κs, dandyβs world, α΄Κα΄ssα΄Κα΄, Κα΄Ι’Κα΄α΄α΄α΄ α΄α΄α΄Κ, κ°α΄Κsα΄α΄α΄Ι΄, Ι’α΄sα΄4, α΄α΄‘α΄Ι΄α΄Κ α΄Ι΄α΄, regretevator, abnormalities apartment , ΚΙͺκ°α΄ α΄α΄Κα΄α΄sα΄π, α΄ α΄Κα΄sΙͺα΄Ι΄α΄Κ, α΄‘ΚΚ α΄α΄, sα΄ΚΚΚ, α΄Κα΄Κα΄ Ιͺs Ι΄α΄ α΄sα΄α΄α΄α΄, α΄Ιͺα΄’α΄’α΄ Ι’α΄α΄α΄!, α΄Ιͺα΄βs α΄α΄α΄α΄α΄α΄α΄Κ, Κα΄Κα΄Ι΄α΄ α΄Κα΄ sΚα΄Κκ°, α΄‘Κα΄ α΄α΄ Ιͺ, α΄α΄α΄Κβs α΄α΄α΄ΚΙ΄α΄Κ, animal hospital. π©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έ ππππππβ¦
π7π3β‘1π1π1π1
π€©π€©π€©π€©π©Έπ©Έπ©Έπ ππΆπΆπΆπΆπΆπΆπΆπΆπΆπΆπΆ ᴦоΚΠΎΙΈΠΎΠ±Ρ, α΄-ΙΈΠΎΠ±Ρ ΠΈ ΠΈΚ α΄¨ΠΎΠ΄ΠΎΠ±Π½Ρα΄. ᴨα΄Π΄ΠΎ, Π·ΠΎΠΎ, α΄Κα΄α΄α΄α΄©Ρ. βοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈβοΈ π Π½α΄Κα΄α΄©α΄Π½Π½ΠΎα΄ Π·α΄Π΄α΄Κα΄Π½ΠΈα΄ α΄α΄©ΠΈα΄¦α΄¦α΄α΄©ΠΎΚ. π α΄α΄¦α΄©α΄α΄α΄ΠΈΡ α΄Π½ΠΈΡ ΡΡ. πα΄Π±α΄§ΠΈΚα΄Ρ Κα΄Π½α΄α΄©α΄ ΠΎΠ±Ρα΄Π½ΠΈΡ «ᴨᴩиΚα΄α΄α΄α΄α΄ α΄α΄α΄ Π΄α΄α΄§α΄^^Β» ΠΈ α΄ΠΎΚΡ α΄¨ΠΎΠ΄ΠΎΠ±Π½ΠΎα΄. π α΄ΠΎα΄¨ΠΈα΄©ΡΠΈα΄ΠΈ/ᴨᴧоᴦиα΄α΄α΄α΄©Ρ ΡΡТоᴦо α΄ΚΠΎα΄©Ρα΄α΄α΄Κα΄, ΠΈΠ΄α΄ΠΉ ΠΈ α΄.Π΄. π Π½α΄Κα΄α΄©α΄Π½Π½ΠΎα΄ Π΄α΄Κα΄§α΄Π½ΠΈα΄ Π½α΄ ΠΆα΄α΄§ΠΎα΄α΄Ρ π ΠΏΠ°ΠΏΠ° β οΈβ οΈβ οΈβ οΈβ οΈβ οΈβ οΈβ οΈβ οΈβ οΈβ οΈ πᴨᴩα΄Π·α΄©α΄Π½ΠΈα΄: Π³Π΅Π½ΡΠΈΠ½ ΡΠ΄, Π»ΠΎΠ»ΠΎΡΠ΄, ΡΠ΅ΠΊΠ°ΠΉ, Π±ΡΠ΄, ΡΠΏΠΎΡ , Ρ ΡΡ, Π»ΡΠ±ΠΈΡΠ΅Π»ΠΈ β¦
β€12π5π₯4π1
π€©π€©π °οΈπ °οΈπ °οΈπ °οΈπ °οΈ π π π΄π΄π΄ π©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έ π π π π π π π π π₯π₯ π€©π€©π€©π€©π€©π€©π€©π€©π€©π€©π€© π©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έ π α΄ΠΎα΄α΄¨α΄§α΄α΄α΄©, (ΟΆα΄§α΄α΄α΄α΄©ΠΎ)ᴦиα΄α΄α΄©ΠΈα΄α΄, Π½α΄ΡΠΈΠ½α΄ΡΡΠΈΠΉ α΄α΄α΄α΄ΠΎΚα΄α΄© ΠΎΠ΄α΄ΠΆΠ΄Ρ, ΠΎΠ±α΄§α΄Π΄α΄Ρ α΄α΄α΄α΄α΄©α΄α΄ΠΈΚ Κα΄α΄α΄α΄α΄©α΄α΄ΚΠΎΚ, ΠΈΠ·α΄©α΄Π΄α΄α΄ α΄©ΠΈα΄ΡΡ. π ππππππ π ΠΈΡΡ Π·Π½α΄α΄ΠΎΚα΄α΄Κα΄? Π½Ρ. Π½Π΅ Π·Π½Π°Ρβ¦β¦β¦. π Κ ΠΎα΄Π½ΠΎΙ―α΄Π½ΠΈΡΡ ? Π½Ρ. π ππππππππ π€©α΄α΄©α΄ΚΠΎΠΆΠ½ΠΎ-ΚΠΎΚα΄§α΄Ρα΄Π½Π½ΡΠΉ α΄ΠΈα΄¨ ᴨᴩиΚΡΠ·α΄Π½Π½ΠΎα΄α΄ΠΈ. α΄α΄α΄Ρ α΄α΄©ΠΈα΄¨α΄Π½ΠΎΙΈΠΎΠ±ΠΈΡ. [β Π±ΠΎΡΠ·Π½Ρ ΡΠΊΠΎΠ»ΠΎΠ², ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ ΠΈ ΡΠΏΡΠΈΡΠ΅Π².] ππππππππ
β€6π1π1π1π1
ππππππππππππ ππππππππππππ π€©β€οΈβπ₯β€οΈβπ₯β€οΈβπ₯β€οΈβπ₯ π€©ππ©Έπ©Έπ©Έ0οΈβ£ π©Έπ©Έπ©Έπ©Έ π π©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έπ©Έ ππππ€©ππππππππ ππππππππ³οΈββ§οΈπππππ π€©ππππππππ πΡΠ³ΠΊ π ΡΡ #ΠΎΠ±ΠΎΠΌΠ½Π΅ #Π΄Π½ΠΈ #ΡΠ°Π½Π΄ΠΎΠΌΡ #ΠΊΠΈΠ½Π½Π»ΠΈΡΡ #ΠΈΠ½ΡΠ΅ΡΠ°ΠΊΡΠΈΠ² #ΠΌΡΠ·ΡΠΊΠ°
β€3β‘1π1π1π₯1
Channel created
Showing the 12 most recent of 12 posts we hold for @simaijesdh. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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 β 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 β the βNamed by N registered channelsβ 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 12 August 2026 β this entry's latest reading, not the date you are reading this.
βππππ . #ΠΠ―β (@simaijesdh), 18 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/simaijesdh.
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 Β· 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.