Santa Fe Institute ✓

@sfiscience · Santa Fe, NM · joined 15 Nov 2009

The premier research center for #complexsystems #science. @complexexplorer @sfipress #ComplexityPodcast https://t.co/0m7JBoR6VG

69 086Followers

1 300Following

14 926Posts total

22.5KViews on collected posts

Neueste Beiträge

Santa Fe Institute ✓@sfiscience2 Sep

Catch up on SFI’s recent Community Lecture “The Indefinite Sublime: Tom McCarthy on Moby-Dick.” In this lecture, McCarthy reflected on the richness and complexity of Melville’s novel, and on why Moby-Dick still invites new ways of reading and thinking. Watch on SFI’s YouTube ht 2.2K views · 18 likes · 3 reposts · 1 replies Open on X →

Santa Fe Institute ✓@sfiscience31 Aug

@sfiscience the most expensive computation may be the one that decides what counts as a cost. brains make that accounting part of the bill. https://t.co/YyCp8jDKeF 218 views · 0 likes · 0 reposts · 0 replies Open on X →

Santa Fe Institute ✓@sfiscience31 Aug

The Santa Fe Institute is hiring a postdoctoral fellow to work with SFI Professor David Wolpert on the thermodynamic cost of distributed computation, from digital circuits and neural networks to human brains. We are seeking a scholar with expertise in physics, computer science, 8.8K views · 105 likes · 19 reposts · 1 replies Open on X →

Santa Fe Institute ✓@sfiscience29 Aug

@sfiscience Cool perspective, can we reinterpret Conways game of life/cellular automata this way? 26 views · 0 likes · 0 reposts · 0 replies Open on X →

Santa Fe Institute ✓@sfiscience29 Aug

@sfiscience molecules, cells & microbes get where they're going by shoving other things aside, deforming the medium as they cross it. add a parking permit & you've got urban planning. https://t.co/3Lvv0PCfp9 114 views · 0 likes · 0 reposts · 0 replies Open on X →

Santa Fe Institute ✓@sfiscience28 Aug

A random walk is a simple model of motion: each step goes in a randomly chosen direction. It's a useful approach to studying random motion, from molecules in a gas to stock-market fluctuations, and it usually assumes the walker is moving through surroundings that stay fixed. http 6K views · 117 likes · 25 reposts · 2 replies Open on X →

Santa Fe Institute ✓@sfiscience26 Aug

While "optimism" isn't quite a taboo word in science, it is not a sentiment most scientists would use to describe their outlook. So much of the process of science is defined by failure, and successes are caricatured as intrepid scientists raging against a status quo machine. In 2.7K views · 21 likes · 5 reposts · 0 replies Open on X →

Santa Fe Institute ✓@sfiscience25 Aug

Animals forage, immune cells patrol the body for pathogens, and algorithms trawl for optimal solutions to thorny problems. In natural and artificial systems alike, the act of searching is ubiquitous, says SFI Complexity Postdoctoral Fellow Aanjaneya Kumar. It's also https://t.c 2.5K views · 26 likes · 7 reposts · 0 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe2 348dieses Konto924Median für 10K–100K

Reichweite, %3.40%dieses Konto3.62%Median für 10K–100K

Interaktion, %1.05%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	2 348	924	2.54×
Reichweite (Aufrufe ÷ Follower)	3.40%	3.62%	0.94×
Interaktionsrate	1.05%	1.52%	0.69×

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

2.5K25 Aug

2.7K26 Aug

6K28 Aug

11429 Aug

8.8K31 Aug

218

2.2K2 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.30%25 Aug

1.05%26 Aug

2.41%28 Aug

0.00%29 Aug

0.00%

1.46%31 Aug

0.00%

1.07%2 Sep

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

What the audience does

Likes61.7%287 in total

Reposts12.7%59 in total

Replies0.9%4 in total

Quotes1.5%7 in total

Bookmarks23.2%108 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.