Ben Reinhardt ✓

@Ben_Reinhardt · Princeton/NYC · joined 08 Nov 2013

Dare mighty things! Journeyman wondersmith @spec__tech. Past: space and eldercare robots, AR, medieval history, etc. Long games. 🏴‍☠️🪐🐉

12 312Followers

547Following

16 267Posts total

17.4KViews on collected posts

Neueste Beiträge

Ben Reinhardt ✓@Ben_Reinhardt22 Sep

It's happening! https://t.co/lsJoFuoewN

1.6K views · 15 likes · 0 reposts · 2 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt22 Sep

https://t.co/7AgHh6hXtv 579 views · 0 likes · 0 reposts · 0 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt22 Sep

@Ben_Reinhardt I like this a lot, and it's kind of how I think about op spaces and programmes at ARIA. Where I guess op spaces are like trying to identify the "bubbliest" parts of the cauldron that is the broader research ecosystem 726 views · 5 likes · 0 reposts · 1 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt22 Sep

A more general observation is that "metascience" is frustratingly devoid of system models. Finally got a chance to write up bubbling cauldrons and strike teams to try to start changing that. Check it out: https://t.co/RQOWOEHUCa 846 views · 15 likes · 1 reposts · 1 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt22 Sep

Healthy research orgs/systems are like porn: you know them when you see them. But there are some patterns that emerge if you stare at them enough. One of the most persistent patterns I've seen is what I call "bubbling cauldrons and strike teams." https://t.co/NkA5bB2eq2

3.2K views · 31 likes · 4 reposts · 2 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt22 Sep

Same for: - Stuxnet on steroids - Carrington Event 2.0 - Asteroid 1.2K views · 16 likes · 3 reposts · 0 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt22 Sep

It may not look like much but this is a pretty exciting proof-of-concept https://t.co/j5bdea3hxj

0:16

0:10

1.1K views · 2 likes · 0 reposts · 3 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt21 Sep

Slide decks are a terrible form of written communication and anyone who insists on one over a 2-page doc is making judgements primarily based on vibes and entertainment value. 1.3K views · 24 likes · 1 reposts · 2 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt24 Jan

@Ben_Reinhardt Community colleges are such a good resource. 223 views · 1 likes · 0 reposts · 0 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt24 Jan

@Ben_Reinhardt A great way to learn the basics, for cheap! 153 views · 1 likes · 0 reposts · 0 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt23 Jan

@Ben_Reinhardt that's cool! what're you hoping to learn? 393 views · 2 likes · 0 reposts · 1 replies Open on X →

Ben Reinhardt ✓@Ben_Reinhardt23 Jan

I have officially enrolled in community college. (Putting my money <and time> where my mouth is wrt what's important in the future) 6.2K views · 51 likes · 0 reposts · 6 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird mehr Menschen gezeigt als Konten gleicher Größe.

Medianaufrufe1 137dieses Konto924Median für 10K–100K

Reichweite, %9.23%dieses Konto3.62%Median für 10K–100K

Interaktion, %1.14%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	1 137	924	1.23×
Reichweite (Aufrufe ÷ Follower)	9.23%	3.62%	2.55×
Interaktionsrate	1.14%	1.52%	0.75×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

6.2K23 Jan

393

15324 Jan

223

1.3K21 Sep

1.1K22 Sep

1.2K

3.2K

846

726

579

1.6K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.93%23 Jan

0.76%

0.65%24 Jan

0.45%

2.12%21 Sep

0.47%22 Sep

1.66%

1.21%

2.25%

0.96%

0.00%

1.08%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes66.3%163 in total

Reposts3.7%9 in total

Replies7.3%18 in total

Quotes2.4%6 in total

Bookmarks20.3%50 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Ähnliche Konten