Arnaud Bertrand engagement report
@RnaudBertrand - 408K followers on X
Measured over 10 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
A typical post picks up 635 interactions against 408K followers, an engagement rate of 0.156%. Measured over 10 original posts, its engagement rate beats 61% of 3,829 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 260K times each, and 0.245% of those impressions turn into an interaction. That is about 63.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video and 20% link out. The account's strongest tracked post pulled 13K interactions, about 20x its own typical post.
Measured over 10 original posts from a 30-day window, last computed on August 31, 2026. Recurring tag: #rockfallocene.
Compared with accounts its own size
Arnaud Bertrand's engagement rate beats 61% of the tracked X accounts closest to it in follower count (3,829 accounts, accounts of similar size (decile 6 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 13% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.156%, Arnaud Bertrand sits above the 50th percentile of the 37,037 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.435%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.435% |
| 90th percentile | 2.10% |
| 99th percentile | 158.8% |
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 Thursday 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 49K |
| 07:00 UTC | -5% | 53K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 73K |
| 11:00 UTC | -3% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -2% | 96K |
| 14:00 UTC | -4% | 99K |
| 15:00 UTC | -2% | 102K |
| 16:00 UTC | -3% | 99K |
| 17:00 UTC | -2% | 92K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -2% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 67K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -1% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 233K |
| Monday | 0% | 292K |
| Tuesday | -3% | 284K |
| Wednesday | -1% | 253K |
| Thursday | -2% | 246K |
| Friday | -3% | 255K |
| Saturday | +3% | 229K |
Best tweets
- Aug 27, 202620x their median
It is now clear that the Nepal disaster was caused by a natural trigger (cryospheric collapse) but amplified by Chinese hydrological modifications and infrastructure footprint along the Tibetan side of the border. In other words, China's upstream actions did not cause the glacier failure but contributed to the disaster's severity and cascading impacts downstream. Worse, despite a deepening relationship with Kathmandu, Beijing did not send an emergency notification to Nepal of sudden water-level spikes, debris-dam formation or other upstream anomalies. An immediate notification, by compelling authorities to evacuate vulnerable people, could have potentially reduced the death toll. Scientific studies have long warned that human alterations to rivers and mountain landscapes can exacerbate natural disasters.
- Aug 26, 202620x their median
As per initial report, a development project in China caused glacier to collapse in the Himalayas, which could trigger 10,000 deaths. https://t.co/nEk73tIAMR
- Aug 27, 20267.7x their median
An incredibly well-timed Landsat 9 pass captured the effects of yesterday’s catastrophic glacier collapse near the Nepal–Tibet border. The event was so massive that it was detected by seismometers around the world. https://t.co/COBTJXsiIb
- Aug 26, 20262.4x their median
.@POTUS on @CIADirector's visit to Russia: "He's there on very sort of semi-routine [business] — I hate to disappoint people..." https://t.co/75oLkPKNZ1
- Aug 30, 2026
Indian PM Modi's flight to Tashkent goes thru China because Pakistan and Iran airspace is closed. Tibetan Plateau is an aviation dark zone because of altitude, so he had to skirt around it as well. https://t.co/jTKChQxTmk
- Aug 29, 2026
August 29, 9:30 a.m. At the wreckage of Gyirong Port—the crossing the mudslide wiped off the map—Chinese rescuers are shouting into the debris: “Is anyone there?” https://t.co/IhKluaaEZr
- Aug 31, 2026
If you can watch only one video to understand current geopolitics, make it this one by George Yeo, one of Singapore's longest-serving cabinet ministers (23 years!) As Yeo explains, current global geopolitics is fundamentally driven by US "retreat" and "decline", forced by a financial reality that no US administration can reverse: its debt servicing already exceeding its entire defense budget. To Yeo, this explains why the US insists so much that its "allies" in Europe and Asia spend more of their GDP on defense - to basically pick up the tab for an empire America can no longer afford - but it also means that, inevitably, "once your allies begin to have their own military capabilities, they will think differently, and they will not follow you in everything that you want to do." As such, American decline becomes self-reinforcing: the more it asks allies to carry their own weight, the less reason they have to follow its lead. Still, Yeo says that a similar dynamic to one that happened after the fall of Rome could occur where America - like Byzantium did - sheds its empire and consolidates around its own hemisphere, allowing it to remain self-sustaining and powerful for a very long time. He believes it's the direction things are heading - which would also explain Trump's obsession with Canada and Greenland. It remains however obviously an open question whether an American "Byzantium strategy" is even achievable: Canada, for one, clearly wants no part of it. Full video available here: https://t.co/99APyQjG3q
- Aug 27, 2026
Glad to know that President Samia Suluhu Hassan commissioned the Julius Nyerere Hydropower Project, Tanzania's largest hydropower plant recently. Built by Chinese companies, it will supply about half of the country's electricity. A new engine for growth and regional energy stability in East Africa! #Hydropower #EnergySecurity #BRI
- Aug 28, 2026
China is solely responsible for Nepal’s floods. Dear Nepalese, never forgive China. This is an artificially created flood caused by massive infrastructure development without environmental concerns in country of Tibet.
- Aug 30, 2026
China released official death toll from the mudslide in Xizang/Tibet: 16 dead, 546 missing Check the latest updates here: https://t.co/WIenZ8VS8y https://t.co/84sPInJ3Fg
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 635 interactions against 408K followers, an engagement rate of 0.156%. Measured over 10 original posts, its engagement rate beats 61% of 3,829 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 260K times each, and 0.245% of those impressions turn into an interaction. That is about 63.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video and 20% link out. The account's strongest tracked post pulled 13K interactions, about 20x its own typical post.
- What is Arnaud Bertrand's engagement rate on X?
- Arnaud Bertrand (@RnaudBertrand) has an engagement rate of 0.156%, based on the median interactions across 10 original posts from the last 30 days against 408,350 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.156%, Arnaud Bertrand sits above the 50th percentile of the 37,037 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 @RnaudBertrand have real engagement?
- Its engagement rate beats 61% of the tracked X accounts closest to it in follower count (3,829 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @RnaudBertrand post?
- Most posts go out around 04:00 UTC, and Thursday is its busiest day, at roughly 2.5 posts per day across the measured window.