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匿名博士 engagement report

@Chris_Defi - 115K followers on X

Measured over 4 original posts from a 30-day window, last computed on October 8, 2026.

Engagement

Per follower
0.191%
of 115K followers
Per impression
0.554%
39K views on a typical post
Reach
34.4%
of its followers see a post
Typical post
218
interactions (median)
Saved
0.101%
40 bookmarks on a typical post
Posting rate
0.4/day
active 30% of days
Peak time
03:00 UTC
Wednesday

Early reading. We have captured 4 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 218 interactions against 115K followers, an engagement rate of 0.191%. Posts are seen about 39K times each, and 0.554% of those impressions turn into an interaction. That is about 34.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 25% are part of a thread. The account's strongest tracked post pulled 1.4K interactions, about 6.5x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on October 8, 2026.

Where this sits in the catalog

At 0.191%, 匿名博士 sits above the 50th percentile of the 205,261 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 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 03:00 UTC, and Wednesday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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 234 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Mar 3, 20266.5x their median

    https://t.co/1hElp5m81E

    94229482100477K viewsView on X
  • Mar 17, 20264.8x their median

    https://t.co/xpSbhOZRNZ

    7742052829223K viewsView on X
  • Oct 7, 20264.7x their median

    2020是庚子年,新冠疫情大爆发,大概两三年时间控制住了。 今年底12月是庚子月,鼠疫应该12月才会爆发,子本身在十二地支里也代表鼠。 全球政府对疫情处理已经很有经验了,预计两三个月时间就收拾干净,倒也不必恐慌。 历史总是惊人的相似,己亥、庚子、辛丑本身可以代表污秽混浊的意思,丑也代表容器,承载细菌病毒的载体,所以2021年辛丑年是新冠管控的爆发期。 为什么说这次鼠疫不会那么严重,丙午纯火年,12月庚子月天克地冲,雷声大雨点小。2027年1月辛丑月,丑午穿把容器穿坏了。 爆发到收拾干净不会超过3个月,虽然时间很短,但该做的防护还是得做,君子不立危墙之下。

    849581165240K viewsView on X
  • Jun 18, 20262.3x their median

    The World Cup is in full swing. Messi and Ronaldo have already taken the stage, who still hasn't backed their favorite team on TopNod Picks? On June 28, the Top 200 players (Leaderboard) in the #TopNodMillionCup will receive rewards 👉1–3: PS5 Digital Edition + Football Game 👉4–13: 34" Gaming Monitor 👉14–90: Custom TopNod Keyboard 👉91–200: Custom TopNod Power Bank

    2055718359620K viewsView on X
  • Feb 26, 20261.7x their median

    中产返贫三件套:定投、抄底、现货不怕

    28415692123K viewsView on X
  • Jun 3, 20261.6x their median

    1/ Introducing XGLD, a yield-bearing gold asset for @tethergold. Gold has been a store of value for centuries. XGLD lets users earn yield on it without having to sell it. Powered by @USDT0_to, XAUt0 brings Tether Gold to every network, backed 1:1 by physical reserves. https://t.co/WBAaBDsJMM

    178336470251K viewsView on X
  • Sep 29, 2026

    投资交易就像谈恋爱,在主升浪最好的花期就应该去梭哈,而不是等人老珠黄的震荡下行趋势再去梭哈彩礼。 你谈恋爱都能识别出女大,为啥二级识别不出主升浪。但主升浪跟女大的花期一样都很短,短短10%的时间走完了璀璨的一生。 10%的主升浪时间,剩下90%都是震荡。人无千日好,花无百日红。

    1981050125K viewsView on X
  • Aug 29, 2026

    孙哥是多爱占便宜,2.5吨的都得换成20美金去计算 https://t.co/Tqrt5jNbEQ

    184746153K viewsView on X
  • Feb 10, 2026

    如何通过自己的面相看财运: 1️⃣如果近期你的鼻子准头(鼻头)泛红,近期的任何重大投资决策能不做就不做,包括但不限于合约、期权、撸毛、链上、一级等 2️⃣准头越红,破财能量越大,小则情侣夫妻吵架,大则破财坏自身风水 3️⃣为什么哭鼻子泛红会影响财运,人在情绪化时容易做出非理性决策 4️⃣面相也是风水的一种,鼻子又名财帛宫,没事不要动鼻子,很多人破财就是从鼻相开始的 5️⃣鼻子长痘和泛红的原理几乎差不多,如果近期鼻子长痘,说明脾胃状态不佳。脾胃五行主土,土为财库,库坏则破财。对应到八字的取象:辰戌冲、丑未冲、未戌刑 6️⃣理论上准头越大(整体协调),鼻翼两边有肉的人,长期财运佳,无论买什么币都容易有推背感 7️⃣下巴外兜的人,理论上更容易留住大财,尤其有痣且圆润饱满的,可以理解为有大财库。 🐻熊市多build自己身体健康赔率最高,比任何事都重要 #BTC #ETH #BNB #DOGE

    197424238K viewsView on X
  • Sep 25, 2026

    2022年壬寅年,俄乌战争、luna暴雷、ftx破产 去年2025年,寅月酉日,bybit被盗 今天2026年,酉月寅日,bitget被盗,尤其今天还是壬寅日 说实话,每次币圈碰到寅字就不太平,尤其是壬寅 今年还是丙午年酉月,火克金,金克木,木生火,像极了贪吃蛇吃自己 玄学这东西,该不会每次都这么巧吧?

    142826133K 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 218 interactions against 115K followers, an engagement rate of 0.191%. Posts are seen about 39K times each, and 0.554% of those impressions turn into an interaction. That is about 34.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 25% are part of a thread. The account's strongest tracked post pulled 1.4K interactions, about 6.5x its own typical post. Only 4 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 匿名博士's engagement rate on X?
匿名博士 (@Chris_Defi) has an engagement rate of 0.191%, based on the median interactions across 4 original posts from the last 30 days against 115,272 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.191%, 匿名博士 sits above the 50th percentile of the 205,261 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 @Chris_Defi have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Chris_Defi post?
Most posts go out around 03:00 UTC, and Wednesday is its busiest day, at roughly 0.4 posts per day across the measured window.

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