𝟑𝟎 𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔 | 𝐃𝐚𝐢𝐥𝐲 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐀𝐟𝐟𝐚𝐢𝐫𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 👉 𝐔𝐒 𝐂𝐮𝐫𝐛𝐬 𝐨𝐧 𝐂𝐡𝐢𝐧𝐞𝐬𝐞 𝐂𝐨𝐭𝐭𝐨𝐧: 𝐑𝐢𝐬𝐢𝐧𝐠 𝐈𝐧𝐝𝐢𝐚𝐧 𝐘𝐚𝐫𝐧 𝐏𝐫𝐢𝐜𝐞𝐬 अमेरिकी प्रतिबंधों के बीच भारतीय cotton yarn की बढ़ती मांग, कीमतों में उछाल और Textile Sector पर इसके प्रभाव को समझें। 𝐗𝐢𝐧𝐣𝐢𝐚𝐧𝐠 𝐂𝐨𝐭𝐭𝐨𝐧 | 𝐂𝐨𝐭𝐭𝐨𝐧 𝐘𝐚𝐫𝐧 | 𝐈𝐧𝐝𝐢𝐚𝐧 𝐓𝐞𝐱𝐭𝐢𝐥𝐞 𝐒𝐞𝐜𝐭𝐨𝐫 𝐑𝐞𝐚𝐝 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:👉https://shorturl.at/ye8sv

Channel
Dikshant Students
@dikshantstudents
On this record: Topic · Growth · Engagement · Reactions · Posts · Polls · Telegram's recommendations · Cite this entry
4,051subscribers
-30 since we began measuring on 30 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001313990026 |
|---|---|
| Type | Channel |
| Username | @dikshantstudents |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 30 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/dikshantstudents |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 16 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 02:58 | 4,051 | -5 |
| 12 Sept 2026, 19:41 | 4,056 | -4 |
| 8 Sept 2026, 14:20 | 4,060 | -12 |
| 3 Sept 2026, 09:03 | 4,072 | -9 |
| 31 Aug 2026, 04:35 | 4,081 | no change |
| 30 Aug 2026, 17:45 | 4,081 | first reading |
Engagement
17 posts held, back to 26 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 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.65%
- avg views ÷ 4,051 subscribers
- Avg views / post
- 66.7
- 17 posts measured
- Reaction rate
- 1.03%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 17 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 3 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 17 (26 August 2026 – 30 August 2026) |
| Views total | 1,134 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 17:45 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.
Reaction mix
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 3 of the 17 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 26 August 2026 to 30 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
𝟑𝟎 𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔 | 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐑𝐞𝐚𝐝 𝐢𝐧 𝐓𝐡𝐞 𝐈𝐧𝐝𝐢𝐚𝐧 𝐄𝐱𝐩𝐫𝐞𝐬𝐬 आज के सबसे महत्वपूर्ण एडिटोरियल और करंट अफेयर्स — संक्षिप्त, सरल और परीक्षा-उपयोगी विश्लेषण। 📖𝐑𝐞𝐚𝐝 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐓𝐨𝐩𝐢𝐜𝐬:👉https://shorturl.at/pwIoe
𝟑𝟎 𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔 | 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐑𝐞𝐚𝐝 𝐢𝐧 𝐓𝐡𝐞 𝐇𝐢𝐧𝐝𝐮 आज के सबसे महत्वपूर्ण 𝐄𝐝𝐢𝐭𝐨𝐫𝐢𝐚𝐥𝐬 & 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐀𝐟𝐟𝐚𝐢𝐫𝐬, एक जगह! ✅ 𝐐𝐮𝐢𝐜𝐤 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 ✅ 𝐄𝐱𝐚𝐦-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐏𝐨𝐢𝐧𝐭𝐬 📖𝐑𝐞𝐚𝐝 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐓𝐨𝐩𝐢𝐜𝐬:👉https://shorturl.at/Lg5jV
A disaster-ready nation needs a climate-ready health workforce. 🌍🏥 👉Click here to watch:https://youtube.com/shorts/slJUoJJ8NXM
❤1
𝟐𝟗 𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔 | 𝐃𝐚𝐢𝐥𝐲 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐀𝐟𝐟𝐚𝐢𝐫𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 👉 𝐈𝐧𝐝𝐢𝐚𝐧 𝐄𝐜𝐨𝐧𝐨𝐦𝐲: 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞 & 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐆𝐫𝐨𝐰𝐭𝐡 भारतीय अर्थव्यवस्था की 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞, विकास की चुनौतियों और 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐆𝐫𝐨𝐰𝐭𝐡 की दिशा को समझें। 𝐈𝐧𝐝𝐢𝐚𝐧 𝐄𝐜𝐨𝐧𝐨𝐦𝐲 | 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞 | 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐆𝐫𝐨𝐰𝐭𝐡 𝐑𝐞𝐚𝐝 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:👉https://shorturl.at/qM36n
𝟐𝟗 𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔 | 𝐄𝐝𝐢𝐭𝐨𝐫𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 👉 𝐒𝐮𝐠𝐚𝐫 𝐏𝐫𝐢𝐜𝐞𝐬: 𝐏𝐨𝐥𝐢𝐜𝐲 𝐌𝐢𝐬𝐭𝐚𝐤𝐞𝐬 𝐁𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐑𝐢𝐬𝐞 चीनी की बढ़ती कीमतों के पीछे 𝐄𝐭𝐡𝐚𝐧𝐨𝐥 नहीं, बल्कि नीतिगत गलतियाँ कितनी जिम्मेदार हैं? जानें महत्वपूर्ण 𝐄𝐝𝐢𝐭𝐨𝐫𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬। 𝐒𝐮𝐠𝐚𝐫 𝐏𝐫𝐢𝐜𝐞𝐬 | 𝐄𝐭𝐡𝐚𝐧𝐨𝐥 | 𝐏𝐨𝐥𝐢𝐜𝐲 𝐑𝐞𝐚𝐝 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐀𝐫𝐭𝐢𝐜𝐥𝐞:👉https://shorturl.at/6lrQP
𝟐𝟗 𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔 | 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐑𝐞𝐚𝐝 𝐢𝐧 𝐓𝐡𝐞 𝐈𝐧𝐝𝐢𝐚𝐧 𝐄𝐱𝐩𝐫𝐞𝐬𝐬 आज के सबसे महत्वपूर्ण एडिटोरियल और करंट अफेयर्स — संक्षिप्त, सरल और परीक्षा-उपयोगी विश्लेषण। 📖𝐑𝐞𝐚𝐝 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐓𝐨𝐩𝐢𝐜𝐬:👉https://shorturl.at/ghjwf
𝟐𝟗 𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔 | 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐑𝐞𝐚𝐝 𝐢𝐧 𝐓𝐡𝐞 𝐇𝐢𝐧𝐝𝐮 आज के सबसे महत्वपूर्ण 𝐄𝐝𝐢𝐭𝐨𝐫𝐢𝐚𝐥𝐬 & 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐀𝐟𝐟𝐚𝐢𝐫𝐬, एक जगह! ✅ 𝐐𝐮𝐢𝐜𝐤 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 ✅ 𝐄𝐱𝐚𝐦-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐏𝐨𝐢𝐧𝐭𝐬 📖𝐑𝐞𝐚𝐝 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐓𝐨𝐩𝐢𝐜𝐬:👉https://shorturl.at/JETfC
File, posted without a caption
✨𝐌𝐨𝐧𝐬𝐨𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐎𝐟𝐟𝐞𝐫✨ 🚀 𝐔𝐏𝐒𝐂 समाजशास्त्र वैकल्पिक विषय (𝐍𝐞𝐰 𝐁𝐚𝐭𝐜𝐡) 👉𝐁𝐚𝐭𝐜𝐡 𝐒𝐭𝐚𝐫𝐭𝐬: 𝟏 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫, 𝟐𝟎𝟐𝟔 👉𝐓𝐢𝐦𝐞: ⏰ 𝟗:𝟎𝟎 𝐀𝐌 📍 𝐌𝐨𝐝𝐞: Online + Offline 👨🏫by 𝐃𝐫. 𝐒. 𝐒. 𝐏𝐚𝐧𝐝𝐞𝐲 (𝟑𝟎+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞) 💥𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: ✅ 500+ Hours of Classes ✅ 100+ Tests & One-to-One Doubt Sessions ✅ Mentorship से मौलिक समझ का विकास ✅ सिर्फ रटने पर नहीं, Conceptual Understanding पर फोकस ✅ अनुभवी मार्गदर्शन के साथ बेहतर Answer Writing &
भारत के संदर्भ में गर्म होते महासागरों का सबसे महत्वपूर्ण संभावित प्रभाव कौन-सा है?
- A. मानसून और चरम मौसम की घटनाओं में बदलाव54%
- B. हिमालय में स्थायी बर्फ वृद्धि14%
- C. मरुस्थलीय क्षेत्रों में वर्षा का पूर्ण समाप्त होना23%
- D. समुद्री स्तर में कमी9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤1
महासागरों के गर्म होने का निम्नलिखित में से कौन-सा प्रभाव नहीं है?
- A. समुद्री पारिस्थितिकी तंत्र पर दबाव15%
- B. समुद्र-स्तर में वृद्धि12%
- C. मौसम प्रणाली में परिवर्तन21%
- D. वैश्विक हिमावरण में स्थायी वृद्धि52%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤1
Showing the 12 most recent of 17 posts we hold for @dikshantstudents. 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.
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.
भारत के संदर्भ में गर्म होते महासागरों का सबसे महत्वपूर्ण संभावित प्रभाव कौन-सा है?
- A. मानसून और चरम मौसम की घटनाओं में बदलाव54%
- B. हिमालय में स्थायी बर्फ वृद्धि14%
- C. मरुस्थलीय क्षेत्रों में वर्षा का पूर्ण समाप्त होना23%
- D. समुद्री स्तर में कमी9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
महासागरों के गर्म होने का निम्नलिखित में से कौन-सा प्रभाव नहीं है?
- A. समुद्री पारिस्थितिकी तंत्र पर दबाव15%
- B. समुद्र-स्तर में वृद्धि12%
- C. मौसम प्रणाली में परिवर्तन21%
- D. वैश्विक हिमावरण में स्थायी वृद्धि52%
Shares as published. 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 17 most recent posts we hold, published 26 August 2026 to 30 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.
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.
@QuantsbyGopika_Testbook · 39,692
Telegram ranks this channel #37 of 66 here — alongside 65 others — read 30 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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“Dikshant Students” (@dikshantstudents), 4,051 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/dikshantstudents.
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.