PFRDA Grade A salary https://www.instagram.com/p/Dc8kSA7tMrX/?stkn=MXZydXAxczZzaXA2Yg==

Channel
PFRDA Grade A 2026
@pfrda_2026
On this record: Topic · Previous handles · Growth · Engagement · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
4,185subscribers
+484 since we began measuring on 29 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001461953656 |
|---|---|
| Type | Channel |
| Username | @pfrda_2026 |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 29 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/pfrda_2026 |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Previous handles
@pfrda_2026 was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
held 29 August 2026 – 29 August 2026
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 06:17 | 4,185 | +61 |
| 13 Sept 2026, 14:01 | 4,124 | +96 |
| 9 Sept 2026, 23:40 | 4,028 | +100 |
| 7 Sept 2026, 09:22 | 3,928 | no change |
| 7 Sept 2026, 08:47 | 3,928 | +221 |
| 2 Sept 2026, 08:23 | 3,707 | +7 |
| 30 Aug 2026, 18:15 | 3,700 | -1 |
| 29 Aug 2026, 23:30 | 3,701 | first reading |
Engagement
33 posts held, back to 4 February 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 2 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 32.1%
- avg views ÷ 4,185 subscribers
- Avg views / post
- 1,340
- 13 posts measured
- Reaction rate
- 0.073%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 33 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 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 33 (4 February 2026 – 7 September 2026) |
| Views total | 17,449 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Sept 2026, 09:22 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
14 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 42.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 42.9% | |
| 👍 | 6 | 42.9% | |
| 🙏 | 1 | 7.14% | |
| 🤩 | 1 | 7.14% |
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 13 of the 33 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 4 February 2026 to 7 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
Which mechanism is fundamental to the Transformer architecture?
- Decision pruning27%
- Self attention18%
- K-Means clustering33%
- Linear interpolation17%
- Random sampling5%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which neural network architecture is most closely associated with modern LLMs?
- Decision Tree31%
- Transformer30%
- K-means18%
- Random forest14%
- Naive bayes7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A company launches a new technologically advanced product at a high initial price and gradually lowers it over time. This strategy is known as:
- Penetration pricing14%
- Price skimming66%
- Economy pricing11%
- Bundle pricing0%
- Psychological pricing9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A new streaming service initially charges a very low price to attract customers quickly and gain market share. Which pricing strategy is this?
- Price skimming12%
- Penetration pricing65%
- Premium pricing5%
- Competitive pricing11%
- Psychological pricing7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
In the Thomas-Kilmann Conflict Mode Instrument, which style involves high assertiveness and low cooperativeness?
- Collaborating11%
- Accomodating26%
- Avoiding19%
- Competing34%
- Compromising11%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
❤1🤩1
Which of the following is primarily a classification algorithm?
- Linear Regression18%
- Logistic Regression27%
- K-Means26%
- Principal Component Analysis23%
- Apriori6%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
In Machine Learning, what is a “feature”?
- The final prediction made by the model6%
- An input variable used by the model to make predictions74%
- The error produced by the model5%
- The computer processor used for training11%
- The final model output5%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Which technique is commonly used to reduce the dimensionality of a dataset?
- PCA19%
- K-means20%
- Linear Regression47%
- Random Forest9%
- Naive Bayes5%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which statement correctly describes the relationship between Deep Learning, Machine Learning, and Artificial Intelligence?
- AI is a subset of Deep Learning12%
- Machine Learning is a subset of Deep Learning23%
- Deep Learning is a subset of Machine Learning51%
- AI and Machine Learning are unrelated6%
- Deep Learning and AI are exactly the same8%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Use code - JANMASHTMI to get 10% off on our PFRDA paper 2 mock test package
Newly added topics will be added in PFRDA mock test course by 15.09.2026
👍1
Showing the 12 most recent of 33 posts we hold for @pfrda_2026. 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 6 most recent of 25 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.
Which mechanism is fundamental to the Transformer architecture?
- Decision pruning27%
- Self attention18%
- K-Means clustering33%
- Linear interpolation17%
- Random sampling5%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which neural network architecture is most closely associated with modern LLMs?
- Decision Tree31%
- Transformer30%
- K-means18%
- Random forest14%
- Naive bayes7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A company launches a new technologically advanced product at a high initial price and gradually lowers it over time. This strategy is known as:
- Penetration pricing14%
- Price skimming66%
- Economy pricing11%
- Bundle pricing0%
- Psychological pricing9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A new streaming service initially charges a very low price to attract customers quickly and gain market share. Which pricing strategy is this?
- Price skimming12%
- Penetration pricing65%
- Premium pricing5%
- Competitive pricing11%
- Psychological pricing7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
In the Thomas-Kilmann Conflict Mode Instrument, which style involves high assertiveness and low cooperativeness?
- Collaborating11%
- Accomodating26%
- Avoiding19%
- Competing34%
- Compromising11%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Which of the following is primarily a classification algorithm?
- Linear Regression18%
- Logistic Regression27%
- K-Means26%
- Principal Component Analysis23%
- Apriori6%
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 33 most recent posts we hold, published 4 February 2026 to 7 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.
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.
@cgbmentors · 30,711
Telegram ranks this channel #41 of 77 here — alongside 76 others — read 7 September 2026
@TargetRBI2018 · 41,093
Telegram ranks this channel #55 of 80 here — alongside 79 others — read 29 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“PFRDA Grade A 2026” (@pfrda_2026), 4,185 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/pfrda_2026.
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.