ποΈποΈποΈποΈποΈποΈποΈποΈγ €γ €γ €γ €γ €γ €γ €γ € βοΈΠΌΠΎΠ΄Π΅Π»ΠΈ Β«ΠΡΠ°ΠΊΠ²Π°Β» Π²ΠΎΠ·Π½ΠΈΠΊΠ»ΠΈ ΡΠ΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π½Π΅ΠΏΠΎΠ»Π°Π΄ΠΊΠΈ. ΠΡΠ»ΠΈ Π²Ρ Π·Π°ΠΌΠ΅ΡΠΈΡΠ΅ Ρ Π²Π°ΡΠ΅Π³ΠΎ Π°Π½Π΄ΡΠΎΠΈΠ΄Π° Π½Π΅ΠΏΠΎΠ»Π°Π΄ΠΊΠΈ Π² ΡΠ°Π±ΠΎΡΠ΅ β ΠΎΠ±ΡΠ°ΡΠ°ΠΉΡΠ΅ΡΡ Π² ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΡ Β«RoboLifeΒ». Π’ΠΎΠ»ΡΠΊΠΎ Ρ Π²Π°ΡΠ΅ΠΉ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΡ ΡΡΡΡΠ°Π½ΠΈΠΌ Π²ΡΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ. π γ €γ €γ €γ €γ €γ €γ €γ €γ €γ €γ €γ €γ €γ €γ €γ € #r

Channel
ππ¦ π’ πππ? ππ« ππ¦ π’ π¬π¨π¦ππ¨π§π ππ₯π¬π?
@eta_hp
On this record: Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Cite this entry
33subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register Β· movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003583823931 |
|---|---|
| Type | Channel |
| Username | @eta_hp |
| Description | ππ¨π π πππ? ππ©π’π₯π₯ π’π. x decoln_ |
| Created | Between 1 December 2025 and 31 May 2026β estimated from Telegramβs id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/eta_hp |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 01:31 | 33 | no change |
| 9 Aug 2026, 20:32 | 33 | first reading |
Engagement
20 posts held, back to 17 July 2026 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 Β· 30 days
- 45.2%
- avg views Γ· 33 subscribers
- Avg views / post
- 14.9
- 20 posts measured
- Reaction rate
- 34.0%
- reactions Γ· views Β· ER floor
- Posts in window
- 20
- of 20 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) 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. It is computed over the 13 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days Β· latest post in window 4 August 2026 |
|---|---|
| Posts held | 20 (17 July 2026 β 4 August 2026) |
| Views total | 298 |
| Reactions total | 64 |
| Forwards / comments | not exposed by the public surface β not measured, not estimated |
| Readings taken | 11 Aug 2026, 01:31 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.
What this channel posts
- Photos
- 5
- Links
- 9
Lifetime counters from Telegramβs own channel header, read 11 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.
Reaction mix
64 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 31.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 20 | 31.3% | |
| π³ | 15 | 23.4% | |
| π₯ | 14 | 21.9% | |
| π | 8 | 12.5% | |
| β‘ | 7 | 10.9% |
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 13 of the 20 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 64reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 20 most recent posts we hold, published 17 July 2026 to 4 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.
Recent posts
Sticker, posted without a caption
πΌππππ: ππΊ700 ππππππ: ππππππ π²ππππππππ: β πππππππππππ β π«₯ π«₯Πα΄α΄§α΄α΄α΄ α΄α΄ΙΠ΄α΄Π½ΠΈα΄. Πα΄Ρ α΄ΠΆ Π½α΄ Κα΄Π½Ρ α΄α΄α΄¦Π΄α΄-α΄α΄.
π₯3π2β€1π³1
πΌππππ: ππΊ700 ππππππ: πππππππ π²ππππππππ: β ππππππππ β ππππππ πππππ: 21% πΌπππππ’ ππππ: πππππππππππ π πππ: @Matthias_Hp π«₯ π«₯Πα΄α΄α΄ΠΉ Ια΄Π±α΄ΚΠ½ΡΠΉ. β Π’Ρ α΄¨α΄©ΠΈΠ½ΠΈΚα΄α΄Ι―Ρ Κα΄Π½Ρ Ια΄ α΄α΄α΄α΄α΄¦α΄-α΄α΄ ᴨα΄α΄©α΄α΄α΄ΡΠΈα΄α΄§ΡΠ½α΄α΄¦α΄ Κα΄Π½ΡΡα΄α΄! Πα΄α΄, Π½α΄ Ρ Κα΄α΄Ρ . Πα΄©α΄α΄α΄α΄ Ια΄Κα΄α΄ΠΈα΄§ α΄α΄Π±Ρ α΄©α΄Π½ΡΙ―α΄. Π£ α΄α΄Π±Ρ Κα΄α΄α΄¦Π΄α΄ Π±Ρα΄§ α΄α΄α΄α΄ΠΉ... Πα΄α΄ Π±Ρ α΄α΄α΄Ια΄α΄Ρ... Πα΄α΄Ρα΄α΄α΄Π½ΡΠΉ ΚΠΈΠ΄? π«₯Πα΄ α΄α΄ Ρα΄α΄Π±Ρ Ρ α΄§α΄¦Ρ β Ρ Π΄α΄ΠΉα΄α΄ΚΠΈα΄α΄α΄§Ρнᴠᴨᴩα΄ΡΚα΄§ΡΡ ΚΠ½ΠΈΚα΄Π½ΠΈα΄ α΄α΄ ΚΠ½α΄α΄¦ΠΈΚ α΄¨α΄©ΠΈΡ α΄ΠΆα΄Π½α΄Κ, Π½α΄ Π½α΄ α΄α΄¨α΄©α΄Ι―ΠΈΚα΄Ρ Ρ Π½ΠΈΡ α΄ α΄¨α΄©ΠΈΡΠΈΠ½α΄ α΄α΄α΄Ρα΄α΄α΄ΚΠΈΡ.β¦
β€2π₯2π³1π1
πΌππππ: ππΊ700 ππππππ: πππππππ π²ππππππππ: β ππππππππ β ππππππ πππππ: 21% πΌπππππ’ ππππ: πππππππππππ π πππ: @Matthias_Hp π«₯ π«₯ΠΠΈΠ΄α΄α΄Ρ, α΄α΄α΄ ΟΆα΄α΄α΄ Κα΄ΡΠ½α΄ ΡᴦᴩΡΚΡΠΉ Ρα΄α΄§α΄Κα΄α΄ Ρα΄§ΡΠ±α΄α΄α΄α΄Ρ β ᴨᴩиΡα΄Π½α΄. Πα΄α΄-α΄α΄α΄ΠΈ Ρ Π΄α΄Π±ΠΈα΄§α΄Ρ α΄Κα΄α΄α΄¦α΄. π«₯ΠΡᴠᴨα΄α΄©α΄ Κα΄α΄α΄©α΄Ρ ΠΈ α΄Π½ Π±ΡΠ΄α΄α΄ α΄α΄α΄ΠΆα΄ α΄§ΡΠ±ΠΈα΄Ρ Κα΄Π½Ρ, α΄α΄α΄ ΠΈ α΄α΄α΄α΄α΄§ΡΠ½Ρα΄. Π α΄ΙΚᴠнᴠᴨᴩα΄α΄§α΄α΄α΄Ρ? π«₯Π‘ΡΠ΄Ρ α΄¨α΄ Κα΄α΄ΚΡ, α΄ΚΡ Κ ΠΆΠΈΙΠ½ΠΈ α΄Ρα΄Π½Ρ Π½α΄ Ρ Κα΄α΄α΄α΄α΄ α΄α΄ α΄§ΠΈ ᴨα΄Π΄Π΄α΄α΄©ΠΆα΄ΠΈ, α΄α΄ α΄§ΠΈ ᴨα΄Π½ΠΈΚα΄Π½ΠΈΡ β ΠΈ ΟΆα΄α΄ Π΄α΄Κα΄α΄§ΡΠ½α΄ α΄§α΄α΄¦α΄α΄ α΄Π±α΄α΄α΄¨α΄ΡΠΈα΄Ρ. β Πα΄, α΄α΄Π½α΄ΡΠ½α΄. Πβ¦
β‘2β€2π³1π1
πΌππππ: ππΊ700 ππππππ: πππππππ π²ππππππππ: β π ππππππππ β ππππππ πππππ: 27% πΌπππππ’ ππππ: πππππππππππ π πππ: @Matthias_Hp π«₯ π«₯Πα΄ΠΆα΄α΄α΄Ρ, ᴨᴩα΄Κα΄α΄§ΠΈα΄§α΄Ρ β ΚΠΈΠΆΡ ΟΆα΄Ρ α΄α΄α΄§ΠΈα΄Ρ α΄©α΄Ια΄Ρα΄α΄©α΄Κα΄Π½ΠΈΡ Π½α΄ α΄α΄¦α΄ α΄§ΠΈΡα΄. Πα΄α΄ Π±ΡΠ΄α΄α΄ ᴨᴩиΚΡΡΠ½ΡΡ, α΄α΄α΄ Π±ΡΠ΄α΄α΄ Π΄α΄§Ρ Π½α΄α΄¦α΄ Π½α΄α΄©Κα΄α΄§ΡΠ½α΄ α΄α΄ α΄α΄α΄©ΡΚα΄α΄Ρ. π«₯ΠΡΠ±α΄α΄¨Ρα΄α΄α΄Κα΄Π½Π½α΄α΄ ΠΈ α΄§ΡΠ±α΄α΄¨Ρα΄α΄α΄Κα΄Π½Π½α΄α΄. π«₯Πα΄Ρα΄Ρ ᴦα΄α΄§α΄Κα΄ΠΉ Κ ΙΠ½α΄α΄ ᴨα΄Π΄Π΄α΄α΄©ΠΆα΄ΠΈ. Π‘α΄α΄Κα΄§Ρ Π½α΄ α΄α΄, Ρα΄α΄ α΄Π½ ᴨᴩα΄α΄¦α΄©α΄ΚΚΠΈα΄α΄, α΄©α΄Ι α΄©α΄Π±α΄α΄α΄α΄α΄ α΄ α΄Π½Π΄α΄©α΄ΠΈΠ΄α΄ΚΠΈ. β Π‘α΄ΡΡΚα΄α΄ΚΡΡ. ΠΠ½ΠΈ Π±ΡΚα΄Ρα΄ Π΄α΄Κα΄α΄§ΡΠ½α΄... Π½α΄α΄¨β¦
β€2π₯2π³1π1
πΌππππ: ππΊ700 ππππππ: πππππππ π²ππππππππ: β π ππππππππ β ππππππ πππππ: 23% πΌπππππ’ ππππ: πππππππππππ π πππ: @Matthias_Hp π«₯ π«₯Π’α΄©α΄ΚΚα΄ Π½α΄ α΄©α΄Π±α΄α΄α΄? ΠΡ ΠΈ Π½Ρ, α΄α΄α΄α΄ΠΉ α΄ΠΈΡ α΄Π½Ρ, ΠΈ α΄©α΄Π±α΄α΄α΄α΄Ρ Π½α΄ α΄α΄©α΄ΚΚα΄α΄α΄¨α΄α΄Π½α΄ΠΉ α΄©α΄Π±α΄α΄α΄? π«₯ΠΠΈα΄α΄α΄¦Π΄α΄ Π±Ρ Π½α΄ α΄¨α΄Π΄ΡΚα΄α΄§. β Π α΄Ι α΄Ρ ΙΠ΄α΄α΄Ρ, ᴨᴩα΄Π΄α΄¨α΄α΄§α΄α΄¦α΄Ρ, Ρα΄α΄ α΄α΄©α΄ΚΚα΄ Π½α΄ α΄α΄©ΠΈα΄ΠΈΡΠ½α΄Ρ. Π§α΄α΄ ΠΆα΄ α΄α΄α΄α΄α΄¦α΄ ᴨᴩα΄ΠΈΙα΄Ι―α΄§α΄, Ρα΄α΄ Κα΄©α΄Κα΄Π½Π½α΄ α΄α΄α΄§ΡΡΠΈα΄§α΄ α΄α΄ Ρα΄α΄©α΄ΚΠΈ, Κα΄α΄¦Ρ ΡΙΠ½α΄α΄Ρ? π«₯ΠΠ½ ΚΡᴦᴧΡΠ΄ΠΈα΄ α΄α΄α΄ α΄α΄α΄-α΄α΄, α΄α΄α΄ α΄©α΄Π±α΄α΄α΄α΄α΄ α΄α΄α΄ΠΈΚ-Π½ΠΈΠ±ΡΠ΄Ρ α΄ΠΈΡ ΠΈΚ α΄¨α΄©α΄α΄¦α΄©α΄ΚΚΠΈα΄α΄α΄Κ. β¦
β€2π2π³1π₯1
πΌππππ: ππΊ700 ππππππ: πππππππ π²ππππππππ: β π ππππππππ β ππππππ πππππ: 21% πΌπππππ’ ππππ: πππππππππππ π πππ: @Matthias_Hp π«₯ π«₯Π― ΚΠΈΠΆΡ α΄α΄¦α΄ α΄α΄ΠΆΠ΄α΄α΄ Κα΄α΄α΄α΄©α΄α΄α΄Π½Ρα΄, Π½α΄ Π΄α΄ α΄ΠΈΡ ᴨα΄α΄© α΄ Π½α΄ΚΡ Π½α΄ α΄¨α΄Π΄Ρ α΄Π΄ΠΈα΄§. Πα΄ Π±Ρᴧᴠᴨα΄Κα΄Π΄α΄ β Ια΄α΄α΄ Π±Ρα΄§ΠΈ α΄ Π΄α΄©ΡᴦиΚΠΈ α΄§ΡΠ΄ΡΚΠΈ, α΄ α΄α΄α΄α΄α΄©ΡΚΠΈ Ρ α΄Π±Ρα΄Π½ΠΈα΄ ΠΈ ᴨα΄Π΄Π΄α΄α΄©ΠΆΠΈΚα΄α΄§. π«₯Πα΄α΄ α΄α΄α΄§Ρα΄α΄ Κ α΄¨α΄©α΄Ι―α΄§α΄α΄ Κα΄α΄α΄α΄©α΄α΄α΄Π½Ρα΄ α΄Π½ нᴠᴨᴩиɯα΄α΄§. Π‘α΄α΄©α΄Π½Π½α΄, нᴠᴨᴩα΄ΚΠ΄α΄ α΄§ΠΈ? Πα΄α΄ ΠΈ ΚΠ½α΄ ΠΈΠ½α΄α΄α΄©α΄α΄Π½α΄, Ρα΄α΄ α΄α΄α΄α΄α΄¦α΄ ᴨᴩα΄ΠΈΙα΄Ι―α΄§α΄. π«₯Πα΄ΟΆα΄α΄ΚΡ Ρ α΄α΄α΄§ΠΈα΄ΠΈΚα΄Ρ ΙΠ½α΄α΄α΄Κα΄α΄¦α΄ Π½α΄ΙΠ½α΄α΄α΄Κβ¦
β‘2β€2π³1π₯1
Sticker, posted without a caption
πΌππππ: ππΊ700 ππππππ: ππππππ π²ππππππππ: β πππππππππ β π«₯ π«₯Π’α΄α΄§Ρα΄α΄ α΄α΄ΠΉΡα΄α΄ α΄α΄α΄-α΄α΄α΄ Ια΄α΄α΄Π½ΡΠΈα΄§ Κα΄Ρ ΟΆα΄Ρ Π±α΄α΄¦α΄α΄Π½Ρ α΄ Π΄α΄α΄ΡΚα΄Π½α΄α΄ΚΠΈ. π«₯ΠΙΈΠΈΡΠΈα΄α΄§ΡΠ½α΄ α΄α΄©ΡΠ΄α΄Ρα΄α΄α΄©α΄ΠΈα΄§α΄Ρ, α΄ΙΈΠΈΡΠΈα΄α΄§Ρнᴠᴨᴩα΄α΄¨ΠΈα΄α΄α΄§α΄Ρ, α΄ΙΈΠΈΡΠΈα΄α΄§Ρнᴠᴨα΄α΄§ΡΡΠΈα΄§ Π±α΄Π½α΄α΄Κα΄α΄ΡΡ α΄α΄α΄©α΄Ρ. π«₯ΠΡ α΄¨α΄Π½Ρα΄ΠΈΡ Π½α΄ ΠΈΚα΄α΄α΄α΄, α΄α΄α΄ α΄ΡΠΆα΄α΄§α΄ Κ ΟΆα΄α΄Κ ΚΠΈα΄©α΄ α΄α΄©ΡΠ΄α΄Κα΄α΄Ρ α΄α΄α΄§Ρα΄α΄ Π½α΄α΄§ΠΈΡΠ½ΡΚΠΈ Π΄α΄Π½Ρᴦα΄ΚΠΈ. π«₯Π Ρ Π±α΄α΄§ΡΙ―α΄ ΙΠ½α΄α΄Ρ Π½α΄ Ρ α΄ΡΡ. π«₯Π― Π½α΄α΄α΄Π½α΄Ρ-α΄α΄ ᴨα΄α΄§Π½α΄α΄¨α΄©α΄ΚΠ½ΡΠΉ ᴦᴩα΄ΠΆΠ΄α΄Π½ΠΈΠ½ ΠΚα΄α΄©ΠΈα΄ΠΈ ΠΈ... Π’α΄ΡΠ½α΄, Π½α΄α΄Π±Ρ α΄Π΄ΠΈΚα΄ Π±ΡΠ΄α΄α΄ α΄Π±Ια΄Κα΄α΄α΄ΠΈα΄Ρ α΄Κα΄α΄ΠΉ α΄ΠΈΚ-α΄α΄α΄©α΄β¦
β€1π³1π₯1
Sticker, posted without a caption
πΌππππ: ππΊ700 ππππππ: ππππππ π²ππππππππ: β πππππππππ β π«₯ π«₯ΠΠ½ ΙΠ½α΄α΄α΄, α΄¦Π΄α΄ Ρ ΠΆΠΈΚΡ, ΠΈ α΄Π½ α΄§α΄α΄α΄α΄Κα΄ Π½α΄Κα΄α΄Π½Ρα΄§, Ρα΄α΄... Π― ᴨᴩинα΄Π΄α΄§α΄ΠΆΡ α΄ΚΡ? Πα΄§Ρᴨα΄. ΠΡα΄Π½Ρ ᴦᴧΡᴨα΄. π«₯Π― Π½α΄ α΄α΄α΄¦α΄§α΄Ι―α΄α΄§α΄Ρ Π½α΄ α΄α΄¦α΄ ᴨᴩα΄Π΄α΄§α΄ΠΆα΄Π½ΠΈΡ ΠΈ Κ α΄α΄¦α΄ ΠΈα΄¦α΄©Ρ ΠΈα΄¦α΄©α΄α΄Ρ Π½α΄ Π½α΄Κα΄α΄©α΄Π½. π«₯Πα΄α΄ Π±α΄©α΄Π΄. π«₯ΠΡΠΆΠ½α΄ α΄Ρα΄ΙΠΆα΄α΄Ρ. π«₯Π§α΄α΄ Κα΄Ι―α΄α΄α΄ α΄ΚΡ Π½α΄ΠΉα΄ΠΈ α΄Κα΄ΠΉ Π½α΄ΚΡΠΉ α΄Π΄α΄©α΄α΄? π«₯Πα΄Π½α΄α΄¦ Π½α΄α΄. Π§α΄α΄©α΄, Κα΄α΄ Π½α΄Κα΄Κα΄©α΄ΚΡ. π«₯ΠΠ½α΄ Π½α΄ Π½α΄©α΄ΚΠΈα΄α΄Ρ ΟΆα΄α΄α΄ βᴨα΄Π΄α΄α΄©α΄α΄β.
β‘2β€2π³2
Showing the 12 most recent of 20 posts we hold for @eta_hp. 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.
Citation-graph rank
Citation-graph rank β 412,854 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below β republished posts weigh more than named mentions β 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 channelβs 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 β a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 2 registered channels β 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 β that handle may belong to someone else now, and crediting todayβs namer to yesterdayβs owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 11 August 2026 β this entry's latest reading, not the date you are reading this.
βππ¦ π’ πππ? ππ« ππ¦ π’ π¬π¨π¦ππ¨π§π ππ₯π¬π?β (@eta_hp), 33 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/eta_hp.
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.