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D.A. Wallach engagement report

@dawallach - 906K followers on X

Measured over 8 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Middle of its size range
Per follower
0.014%
of 906K followers
Per impression
0.665%
19K views on a typical post
Reach
2.06%
of its followers see a post
Typical post
124
interactions (median)
Saved
0.195%
36 bookmarks on a typical post
Posting rate
0.9/day
active 60% of days
Peak time
09:00 UTC
Tuesday

A typical post picks up 124 interactions against 906K followers, an engagement rate of 0.014%. Measured over 8 original posts, its engagement rate beats 39% of 3,774 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 19K times each, and 0.665% of those impressions turn into an interaction. That is about 2.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 38% carry an image or video and 50% link out. The account's strongest tracked post pulled 59K interactions, about 474x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on August 28, 2026.

Compared with accounts its own size

D.A. Wallach's engagement rate beats 39% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 9 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 40% 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 0.014%, D.A. Wallach sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.433%
90th percentile2.10%
99th percentile160.5%

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 09:00 UTC, and Tuesday 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 09:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%52K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jun 26, 2026474x their median

    It's time for a national billionaires tax and a new social contract. 10% of Americans own two-thirds of the wealth. Wages have stagnated. The cost of living has skyrocketed.  The system is fundamentally broken. The federal tax code, a corporate code, and an inheritance code were written for a different set of Americans.  It’s time for an economic reset. https://t.co/nrRXzlFLKy

    28K5.0K23K2.6K13M viewsView on X
  • Apr 15, 2026276x their median

    Your smart TV is taking screenshots of your screen every 15 seconds. Not a guess. Not a theory. A peer-reviewed study by researchers at UC Davis, UCL, and UC3M tested it. Samsung TVs: every minute. LG TVs: every 15 seconds. Even when you're just using it as a monitor. Here's how to turn it off for every brand:

    26K6.6K8486846.6M viewsView on X
  • May 1, 2026137x their median

    Our robot is designed to insert hundreds of ultra-fine, flexible threads with thousands of electrodes within microns of targeted neurons while avoiding vasculature and adapting to real-time brain motion. https://t.co/si0xwSfF4u

    14K2.1K85633824M viewsView on X
  • Jun 25, 2026112x their median

    It’s time for everyone to realize that the fight against data centers has nothing to do with data centers. They have become a proxy for the hate towards AI and the concentration and accumulation of wealth it’s creating. Until those running the big LLMs understand this and start a community tour, not to explain the benefits of AI, it’s too late for that, but to help towns and cities that may be impacted by job losses (and I’m a believer their will be a net gains in a few years), this battle is only going to get more intense and let me tell you now , no matter how much money you pay to buy politicians and races, you will lose. One thing I have learned is being hated is not good for business. How can they help ? They will tell you. You will need to do what they ask. Billions of dollars is a lot of money across towns and city programs. Across the major LLMs, it’s a cost of doing business. At the same time, I would go to LA and NYC and ask the arts and creative unions what kind of programs would help and protect their artists. DO NOT GO TO THE MUSIC OR FILM COMPANIES. that will make it worse. Don’t try to pay famous people to endorse what you are doing. That’s dumb. Talk to artists and ask them what you can do to provide financial and creative support. Every creative I know is TERRIFIED about what AI will do to their profession. You must meet them face to face and basically do what they say. The big LLMs have lost the PR battle. Why ? Because they all suck at putting people first. They have an SV attitude that makes them all think they are John Galt saving the world Given the number of data centers and power that is needed, today and going forward , If you don’t kiss the asses of the people that go to work every day, and are just trying to pay their bills, you will fall far far short of the capacity you need to make your business work.

    9.6K9462.8K5332.1M viewsView on X
  • May 24, 202694x their median

    Q: How are job postings for software engineers rising rapidly despite AI agents automating coding? A: Because there’s far more code to manage than ever before. We’re already seeing a 14x YoY increase in GitHub commits, and it’s accelerating. AI has dramatically lowered the cost of writing code, so it’s now being used across far more businesses, applications, and use cases. We’re at the beginning of a massive productivity boom driven by the proliferation of bespoke software throughout the entire economy. Coding has been AI’s breakout use case this year. The fact that it’s increased demand for software engineers — rather than decreased it — should call into question the entire “AI will cause mass job loss” narrative.

    9.0K1.4K8114151.6M viewsView on X
  • Aug 8, 202666x their median

    Stephen Kotkin explains the real reason Marxism keeps attracting intellectuals and young people, even after the body count. It is not because the theory works. It is because it offers something far more seductive: total, rapid transformation and a special role for the intellectual class. In a market system, ordinary people make their own decisions. Under Marxism-Leninism, the intellectuals get to make the decisions for everyone. They become the engineers of society. Workers and peasants are treated as people with “false consciousness” who need to be led. The ideology flatters the people who believe they are smarter than the rest of society. That is why the blood does not put them off. The power is worth the cost.

    6.3K1.5K208174454K viewsView on X
  • Aug 13, 20267.8x their median

    "Well, we're going to pay down debt. We have a lot of money coming in, much more money than the country has ever seen by hundreds of billions of dollars. And there could be a distribution or dividend to the people of our country. I would say for people that would be middle-income people and lower-income people, we could do a dividend. But one of the things we're going to be doing is reducing debt." - President Trump, August 3, 2025 This was a year ago. What's happened since? The US National Debt has increased by over $3 trillion, there was no tariff dividend to the people, and inflation has risen.

    3.1K1.1K25789726K viewsView on X
  • Jun 14, 202628x their median

    California is one of the most dynamic places on the planet. But it is a case study in how a rich society can spend more and more while producing less and less of what its ordinary citizens need. My take: https://t.co/a8LGEhWCdd

    2.4K524287171449K viewsView on X
  • Jun 28, 202627x their median

    If Abundance won't speak up against a two year rent freeze, which they obviously oppose in their hearts, what is even the point?

    3.1K1476723165K viewsView on X
  • Aug 18, 202625x their median

    Global bond markets have caught on fire. The most notable spike in long-term yields is happening for the US and France, but at this point the rise in long-term yields is truly a global phenomenon. Reckless fiscal policy is catching up with governments... https://t.co/GRXneqxjUD https://t.co/WQ1wF8lRmW

    2.1K675104158425K 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 124 interactions against 906K followers, an engagement rate of 0.014%. Measured over 8 original posts, its engagement rate beats 39% of 3,774 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 19K times each, and 0.665% of those impressions turn into an interaction. That is about 2.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 38% carry an image or video and 50% link out. The account's strongest tracked post pulled 59K interactions, about 474x its own typical post.

What is D.A. Wallach's engagement rate on X?
D.A. Wallach (@dawallach) has an engagement rate of 0.014%, based on the median interactions across 8 original posts from the last 30 days against 906,475 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.014%, D.A. Wallach sits above the 25th percentile of the 36,654 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 @dawallach have real engagement?
Its engagement rate beats 39% of the tracked X accounts closest to it in follower count (3,774 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 @dawallach post?
Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 0.9 posts per day across the measured window.

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