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.
Views per post sit far below this size band
5.9 average views per post against 60,299 subscribers — an engagement rate of 0.01%. Across the 24,065 registered channels in the same cohort — 31,623–99,992 subscribers — the middle half sit between 2.71% and 15.5%, with a median of 7.04%.
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 27 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is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn.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.
Engagement
20 posts held, back to 24 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.01%
- avg views ÷ 60,291 subscribers
- Avg views / post
- 5.9
- 20 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- 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) ÷ 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.
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.
Recent posts
27 Aug 2026, 09:14 UTC2 viewsread 27 August 2026 Photo
🏆TAMIL NADU LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Salem Spartans ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC4 viewsread 27 August 2026 Photo
🏆UTTAR PRADESH LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Kashi Rudras ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC4 viewsread 27 August 2026 Photo
🏆KERALA CRICKET LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Trivandrum Royals ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC3 viewsread 27 August 2026 Photo
🏆KERALA CRICKET LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Thrissur Titans ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC3 viewsread 27 August 2026 Photo
🏆TAMIL NADU LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Siechem Madurai Panthers ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC2 viewsread 27 August 2026 Photo
🏆UTTAR PRADESH LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Noida Super Kings ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC1 viewsread 27 August 2026 Photo
🏆KERALA CRICKET LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Thrissur Titans ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC1 viewsread 27 August 2026 Photo
🏆UTTAR PRADESH LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Meerut Mavericks ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC1 viewsread 27 August 2026 Photo
🏆TAMIL NADU LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Salem Spartans ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC4 viewsread 27 August 2026 Photo
🏆TAMIL NADU LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Siechem Madurai Panthers ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
27 Aug 2026, 09:14 UTC4 viewsread 27 August 2026 Photo
🏆UTTAR PRADESH LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Noida Super Kings ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
24 Aug 2026, 08:35 UTC5 viewsread 27 August 2026 Photo
🏆UTTAR PRADESH LEAGUE 2026🏆
✅ Toss Winner Predictions ✅
Toss Winner😞 Noida Super Kings ✅
Play With Daily Same Limit
Example🔽
Agar Aapka Per Match Limit
10000 Hai Toh Toss 1000 Se Khelo Always⏫
Showing the 12 most recent of 20 posts we hold for @SHAKTIOFFICIAL1. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Ipl T20 Ipl Match Toss
@Ipl_T20_Ipl_Match_Toss · 1,515 (as read 27 August 2026)#10
Shera Tennis+Football Tips [ 2018 ]
@sheratips1 · 5,651#26 ANNA EXCHANGE ONLINE BOOK
@Annaexchangeonlinebook · 575 (as read 27 August 2026)#29
Read from Telegram’s recommendation API, most recently 27 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
जय बजरंग बली ( 2018 )
@Shubhamarjunn · 45,869
Telegram ranks this channel #34 of 45 here — alongside 44 others — read 27 August 2026 This channel appears in 1 seed channel's Telegram-generated recommendation list 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 27 August 2026 — this
entry's latest reading, not the date you are reading this.
“SHAKTI” (@SHAKTIOFFICIAL1), 60,291 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/SHAKTIOFFICIAL1.
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.