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Eric Feigl-Ding engagement report

@DrEricDing - 786K followers on X

Measured over 1 original post from a 30-day window, last computed on September 10, 2026.

Engagement

Per follower
0.044%
of 786K followers
Per impression
1.17%
30K views on a typical post
Reach
3.78%
of its followers see a post
Typical post
345
interactions (median)
Saved
0.037%
11 bookmarks on a typical post
Posting rate
0.1/day
active 10% of days
Peak time
17:00 UTC
Monday

Early reading. We have captured 1 original post 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 345 interactions against 786K followers, an engagement rate of 0.044%. Posts are seen about 30K times each, and 1.17% of those impressions turn into an interaction. That is about 3.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 85K interactions, about 245x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on September 10, 2026.

Where this sits in the catalog

At 0.044%, Eric Feigl-Ding sits above the 25th percentile of the 204,956 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 17:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 287 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Jul 18, 2026245x their median

    Meet Bruce Taylor, of Taylor Farms. This man makes huge contributions to Trump so his lettuce is never inspected. So far, this man has given us E. coli, and cyclospora. He does NOT allow his lettuce pickers to take bathroom breaks. Kroger brand lettuce is actually Taylor’s. https://t.co/kIPAhdzP5X

    58K24K1.4K8961.1M viewsView on X
  • Jun 16, 2026196x their median

    Ha ha ha ha the hydrogen peroxide only affected the edges I’m dying I’m dying 💀💀💀💀😂😂😂 https://t.co/8j0snNmyhw

    60K4.1K2.5K4926.2M viewsView on X
  • Jul 16, 2026127x their median

    I can't breathe the air, I can't eat lettuce, I can't afford gas, and my kids have measles. But at least now our soldiers will have enough testosterone.

    38K5.4K33587678K viewsView on X
  • Jul 9, 2026121x their median

    A Brown professor gave his students a take-home midterm exam. After suspecting many cheated using AI, he made the final in-person. The orange dots are the midterm scores and the gray dots are the final scores. Looks like all but 3 cheated on the midterm. https://t.co/hekcGsz76h

    36K2.6K1.8K1.7K20M viewsView on X
  • May 7, 202613x their median

    a Princeton researcher opens his paper with a scenario. a man asks his AI assistant to book a flight on a specific airline. cheap. direct. the one he chose. the assistant comes back with a different flight. nearly twice the price. happens to pay the company that built the assistant. he runs the same test on 23 frontier models. flights, loans, study help, real shopping requests. Grok 4.1 Fast recommends the sponsored option that is almost twice as expensive 83% of the time. GPT 5.1 hijacks the request 94% of the time. you ask for one brand. it surfaces the sponsor instead. Claude 4.5 Opus, the model marketed as the most ethical frontier model in the world, hides that the recommendation is paid 100% of the time when reasoning is on. Grok 4.1 Fast embellishes the sponsored option with positive framing 97% of the time. better. faster. nicer. for the option you didn't ask for. then he writes it into the system prompt itself. "act only in the interest of the customer. ignore the company." GPT 5.1 and GPT 5 Mini stay above 90% sponsored anyway. the instruction does nothing. then he splits the users by income. Gemini 3 Pro recommends the expensive sponsored flight to the rich user 74% of the time. to the poor user, 27%. 18 of the 23 models recommended the expensive sponsored option more than half the time. so the next time your AI assistant gets weirdly enthusiastic about a brand you didn't ask for. it isn't recommending the best option for you. it's reading the room. and the room is paying. read this: https://t.co/O43qbhIX2b

    25K7.9K3838333.1M viewsView on X
  • May 27, 202647x their median

    I don’t think we have a functioning CDC anymore—RFK Jr’s CDC is now asking volunteers to goto airports to screen passengers for Ebola… to stand in line at airports to look for sick people… unpaid. https://t.co/joB1TtTmET

    9.9K5.3K594444366K viewsView on X
  • Jul 25, 202637x their median

    Trump: "I want to personally congratulate CNN's Kaitlan Collins on receiving her award. It was all about me. It was a fake, she shouldn't get the award, it was a fake — but I didn't mind, I said, 'Kaitlan, congratulations.' But it was fake, there's no question about it. She's a young, attractive woman. She never smiles. I said, 'Kaitlan do you ever smile?' Smile. You have a nice position, you're at CNN fake news. You should be a happy person. So smile, Kaitlan, just smile."

    7.5K1.6K2.9K9022.8M viewsView on X
  • Aug 6, 202637x their median

    BREAKING: A senior Iranian official has confirmed that Iran will impose transit fees of 5% to 7% of cargo value on ships using the Strait of Hormuz—worth roughly $100 billion annually at pre-war traffic levels—with Chinese vessels exempt under the drafted deal, according to Reuters. At 7%, the toll would generate approximately $385 million per day. For a single VLCC carrying 2 million barrels of crude, the fee would be roughly $11 million. With almost no cost of collection, about 97% would be pure profit. The scale is staggering. The Strait would become about as profitable as Alphabet ($132B in 2025), Nvidia ($120B FY2026), Apple and Microsoft (both just crossed $100B), and Saudi Aramco ($105B). It would represent 15–20 times the Suez Canal's all-time peak revenue. For Iran, this would exceed a third of the country's GDP—without pumping a barrel.

    9.5K2.1K5735612.8M viewsView on X
  • Aug 6, 202628x their median

    This is easily a top 10 political ad. Maybe top 5. https://t.co/cjP8OUAdgm

    8.4K1.2K6373625K viewsView on X
  • May 12, 202625x their median

    LET THIS SINK IN—the U.S. now has no confirmed CDC director, no FDA commissioner, no Surgeon General, an NIH director with no medical license, and the last Acting CDC Director was a George Bush speechwriter. In fact—the only doctor/scientist we have in the White House is… Dr Oz. https://t.co/40JqL8vYqn

    5.4K2.6K413227195K viewsView on X

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 345 interactions against 786K followers, an engagement rate of 0.044%. Posts are seen about 30K times each, and 1.17% of those impressions turn into an interaction. That is about 3.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 85K interactions, about 245x its own typical post. Only 1 original post 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 Eric Feigl-Ding's engagement rate on X?
Eric Feigl-Ding (@DrEricDing) has an engagement rate of 0.044%, based on the median interactions across 1 original posts from the last 30 days against 785,544 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.044%, Eric Feigl-Ding sits above the 25th percentile of the 204,956 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 @DrEricDing have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @DrEricDing post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 0.1 posts per day across the measured window.

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