Leela Mani Paudyal engagement report
@paudyallm - 119K followers on X
Measured over 3 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 35 interactions against 119K followers, an engagement rate of 0.029%. Posts are seen about 3.8K times each, and 0.93% of those impressions turn into an interaction. That is about 3.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 33% carry an image or video and 33% are part of a thread. The account's strongest tracked post pulled 9.0K interactions, about 256x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 3 original posts from a 30-day window, last computed on October 6, 2026.
Where this sits in the catalog
At 0.029%, Leela Mani Paudyal sits above the 25th percentile of the 205,048 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 04:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 33% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 33% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 152 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Feb 13, 2026256x their median
Scientists have identified a reversal of the long-standing Flynn effect—the roughly 200-year trend of rising average intelligence (measured via IQ and cognitive tests) across generations. For the first time in modern recorded history, Generation Z (born roughly 1997–2012) shows lower performance than previous generations in key cognitive domains, including attention, memory, literacy, numeracy, executive function, problem-solving, and general IQ—despite spending more years in formal education than ever before. Neuroscientist and educator Dr. Jared Cooney Horvath, PhD, MEd, testified before the U.S. Senate Committee on Commerce, Science, and Transportation on January 15, 2026, highlighting this shift. In his written testimony, he stated that cognitive development in children across much of the developed world has stalled or reversed over the past two decades, with declines evident in international assessments (e.g., PISA, TIMSS) and other large-scale data starting around the mid-2000s and accelerating post-2010. Horvath attributes the primary driver not to reduced schooling, but to the widespread integration of digital screens and educational technology (EdTech) in classrooms. He argues that human brains evolved for deep, focused learning through face-to-face interaction and sustained attention, not fragmented skimming or constant task-switching encouraged by devices. Key points from his testimony include: - Teens now spend over half their waking hours on screens, with significant portions in school involving computers or tablets—often leading to off-task behavior and shallower processing. - Evidence from meta-analyses and national/international studies shows a consistent pattern: higher classroom screen exposure correlates with weaker outcomes in reading, math, science, and higher-order reasoning. - Digital tools may aid narrow, repetitive skill practice in controlled settings, but in core academic contexts, they tend to reduce depth of understanding, retention, and critical thinking. Horvath describes this as a "structural mismatch" between human cognition and how digital platforms are designed (to capture and fragment attention), warning that unchecked EdTech adoption risks long-term harm to workforce skills, innovation, and societal reasoning. [Horvath, J. C. (2026). Written testimony before the U.S. Senate Committee on Commerce, Science, and Transportation. U.S. Senate]
- Mar 30, 202690x their median
I am no stranger to criticism and have learnt, over time, to absorb it without losing focus. That is part of public life. What is harder to accept is the steady erosion of civility in our discourse. Disagreement is essential; derision and vituperative, personal slander is not. A confident society does not fear dialogue—it conducts it with balance, clarity, and respect. As for me, I follow the teaching of Sri Ramakrishna and his advice: “forbear, forbear, forbear.” That has guided me through my life’s journey.
- May 18, 202655x their median
The Chinese economy is so weak maybe they can't afford to buy more planes...
- Jun 1, 202640x their median
रास्वपाका नेता-कार्यकर्ता, समर्थक-शुभेच्छुक प्रधानमन्त्रीको सतप्रतिशत गलत अभिव्यक्तिलाई ठीक साबित गर्न यो हद सम्मको हर्कत नगरिदिनुस्।एकदिन मै यसको असर हाम्रो अखण्डतामा कति परि सक्यो, मनन् गर्नुस्। देश भन्दा ठूलो अर्को चीज हुदैन। गलत भन्न सक्नुहुन्न भने मौन वसिदिनुस् । Please!
- Feb 1, 202624x their median
George Yeo, former foreign minister of Singapore. He displays a far deeper understanding of European history and its conflicts than most Western politicians ever have. It’s rare to see a high-ranking official speak with this level of depth, clarity, and insight in an interview. https://t.co/nk1fZkPq5C
- Mar 5, 20267.9x their median
Regardless of the rot in other aspects, Nepali public officials, bureaucracy, security institutions and their personnel have time and again done sterling jobs in managing big national events and crises. They have done just that in these snap polls! Superb!!
- Jun 25, 20264.6x their median
THINGS EXPERIENCED DOCTORS KNOW THAT PATIENTS ARE RARELY TOLD: 1. Most infections clear on their own. Antibiotics are overprescribed and overused more than most patients ever realize. 2. Sleep fixes more than most medications. Chronic sleep loss is behind more diagnoses than doctors have time to explain in a 10-minute appointment. 3. Stress shows up in the body before it shows up in the mind. Unexplained pain, hair loss, and gut problems are often stress wearing a physical disguise. 4. Your gut health affects almost everything. Mood, immunity, energy, and skin are all connected to what is happening in your digestive system. 5. Most back pain is not structural. It is muscular, postural, and lifestyle-related. Scans often find things that were never causing the problem to begin with. 6. Loneliness is a clinical risk factor. Isolated people get sicker faster, recover slower, and die earlier. It is not a feeling. It is a health condition. 7. What you eat matters more than any supplement you take. No pill corrects a consistently poor diet. The pharmacy cannot outrun the kitchen. 8. Many symptoms disappear with movement. A walk is not a consolation prize. For many conditions it is the actual prescription. 9. Patients who ask questions get better care. Doctors are human. An informed and engaged patient changes the quality of attention they receive in the room. 10. Anxiety and depression are underdiagnosed in people who appear to be functioning well. High performers and busy people are often the last ones anyone thinks to ask. 11. Your weight affects how seriously some symptoms are taken. It is a bias that exists inside medicine the same way it exists everywhere else. 12. Prevention is unglamorous and underfunded. The system is built to treat illness, not to stop it from arriving. That gap is the patient's responsibility to fill. 13. A second opinion is not an insult. It is basic due diligence. Good doctors expect it. Great doctors encourage it. 14. Dehydration is behind more headaches, fatigue, and brain fog than most people ever connect to their water intake. 15. The lifestyle advice doctors give you is the advice they struggle to follow themselves. Knowing and doing are two entirely different problems.
- Feb 16, 20262.7x their median
Sometimes, the best ideas are already sitting in your own offices they just need a platform. Nepal Electricity Authority (NEA) recently did something worth celebrating and worth replicating organizing an internal hackathon (Hackathon Event-2082), NEA invited its own employees to bring ideas to the table. The result? 27 proposals from within the organization, collectively shaping what is now being developed as NEA AI Sathi , AI-powered system designed to modernize customer service, streamline administration, support data-driven decision making, and eventually assist in load management and demand forecasting. Rather than outsourcing innovation, NEA tapped into the talent it already had people who understand the organization's real problems from the inside. They created a structured space for those people to think, collaborate, and propose solutions using emerging technologies like AI. This is exactly the kind of institutional culture that government organizations in Nepal need to embrace: - Trust your in-house talent - Host hackathons to unlock grassroots innovation - Use AI and emerging tech as tools to solve real, local problems - Build institutional ownership of digital transformation Sometimes, the best ideas are already sitting in your own offices they just need a platform. May others follow. #NEA #AIInnovation #GovTech #Hackathon #DigitalNepal #PublicSectorInnovation
- Oct 1, 20262.3x their median
https://t.co/TRuN5JU4kt
- Nov 5, 20252.2x their median
You have a hidden organ controlling your weight, mood & energy, but your doctor never tested it. It’s not your liver or your thyroid. It’s your MICROBIOME! Here’s how 100 trillion microbes secretly run your metabolism & decide how your body stores fat, burns energy & ages: https://t.co/e7bRaAYHO4
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 35 interactions against 119K followers, an engagement rate of 0.029%. Posts are seen about 3.8K times each, and 0.93% of those impressions turn into an interaction. That is about 3.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 33% carry an image or video and 33% are part of a thread. The account's strongest tracked post pulled 9.0K interactions, about 256x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Leela Mani Paudyal's engagement rate on X?
- Leela Mani Paudyal (@paudyallm) has an engagement rate of 0.029%, based on the median interactions across 3 original posts from the last 30 days against 118,863 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.029%, Leela Mani Paudyal sits above the 25th percentile of the 205,048 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @paudyallm have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @paudyallm post?
- Most posts go out around 04:00 UTC, and Monday is its busiest day, at roughly 0.17 posts per day across the measured window.