Oxford Mathematics

@OxUniMaths · Oxford · joined 24 Apr 2014

Official account for the Mathematical Institute at the University of Oxford.

78 959Followers

26Following

2 327Posts total

134.5KViews on collected posts

Latest posts

Oxford Mathematics@OxUniMaths14 Sep

What does an Oxford mathematical biologist specialising in modelling cancer treatments do after completing their PhD? Why, go and do research at medical school, of course. Kit Gallagher, Schmidt Science Fellow at Harvard Medical School, is your man. https://t.co/vZs4p2Wsdw

1:51

2.1K views · 17 likes · 9 reposts · 0 replies Open on X →

Oxford Mathematics@OxUniMaths12 Sep

@OxUniMaths Wittgenstein's Ruler ? 308 views · 1 likes · 0 reposts · 0 replies Open on X →

Oxford Mathematics@OxUniMaths12 Sep

@nntaleb The possible loss of status, privilege, or even employment for part of the existing mathematical profession is not the same thing as a loss for mathematics, even less for science or application. If AI can solve relevant problems faster, explore neglected questions, or re 728 views · 1 likes · 0 reposts · 1 replies Open on X →

Oxford Mathematics@OxUniMaths12 Sep

@OxUniMaths They did something, but did it actually answer the question asked in the problem statement? 659 views · 1 likes · 0 reposts · 0 replies Open on X →

Oxford Mathematics@OxUniMaths12 Sep

The Millennium Prize Problems were presented by the Clay Mathematics Institute (CMI) in 2000. Here's CMI's response to the recent reported settling of the Navier-Stokes problem: https://t.co/BEuZ1Q6OWm CMI is housed in the Andrew Wiles Building, @OxUniMaths. https://t.co/mrQYpS9

13.4K views · 131 likes · 25 reposts · 4 replies Open on X →

Oxford Mathematics@OxUniMaths12 Sep

@OxUniMaths I expect that AI will explain new and difficult mathematical concepts to humans better than mathematicians can. However, I would concede that human mathematicians may still explain the taste of sour grapes to others humans better than AI will. 763 views · 9 likes · 0 reposts · 1 replies Open on X →

Oxford Mathematics@OxUniMaths12 Sep

@OxUniMaths The primary goal of mathematics is NOT “human understanding of the ideas.” This is a false statement. 4.8K views · 16 likes · 0 reposts · 2 replies Open on X →

Oxford Mathematics@OxUniMaths12 Sep

@OxUniMaths the horse is optimistic that the car will help him become more productive 1.2K views · 27 likes · 0 reposts · 3 replies Open on X →

Oxford Mathematics@OxUniMaths11 Sep

AI is ravenous and is eating mathematicians' lunch. A long-standing problem is solved, others are in its sights. But is this more than just a problem about problems? Here's Fields Medallist James Maynard. Read the Fields Medallists' Declaration: https://t.co/zANc8nmMcb https://t

2:12

103.3K views · 1K likes · 242 reposts · 62 replies Open on X →

Oxford Mathematics@OxUniMaths10 Sep

We know Pythagoras was a mathematician, but Pink Floyd? Sarah Hart is pitch perfect in her public lecture. Watch: https://t.co/peUBPXVJsI https://t.co/7kxhBnOLPD

2.8K views · 29 likes · 7 reposts · 0 replies Open on X →

Oxford Mathematics@OxUniMaths9 Sep

Every day I write (or don't write) the book. Roger Penrose on the perils of being Penrose. https://t.co/pjKzDVoo8c

1:55

4.5K views · 80 likes · 10 reposts · 3 replies Open on X →

Against accounts of the same size

11 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.

Median views2 110this account1 095median for 10K–100K

Reach, %2.67%this account3.94%median for 10K–100K

Engagement, %1.23%this account1.68%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	2 110	1 095	1.93×
Reach (views ÷ followers)	2.67%	3.94%	0.68×
Engagement rate	1.23%	1.68%	0.74×

Others in this range → Compare with another account → How these benchmarks are built →

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

4.5K9 Sep

2.8K10 Sep

103.3K11 Sep

1.2K12 Sep

4.8K

763

13.4K

659

728

308

2.1K14 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.06%9 Sep

1.29%10 Sep

1.27%11 Sep

2.51%12 Sep

0.38%

1.31%

1.20%

0.15%

0.27%

0.32%

1.23%14 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.68%.

What the audience does

Likes56.9%1 323 in total

Reposts12.6%293 in total

Replies3.3%76 in total

Bookmarks27.2%633 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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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