tweetindex
EN

Michael Baym

@baym · A talking head on a screen · joined 29 Jul 2008

Microbiology, evolution, antibiotic resistance, applied math, molecular biotech. Associate Professor @HarvardMed. Basic research is the engine of progress. 🦠🧬

22 950Followers
1 622Following
38 098Posts total
164.2KViews on collected posts

Latest posts

I heard a rumor that Anthropic is close to proving P=NP is equivalent to the axiom of choice but not well-ordering. And who the hell knows about Zorn’s lemma 448 views · 1 likes · 0 reposts · 0 replies Open on X →
If you wish to support our critical alignment efforts to control the bacteria before other labs do it potentially less safely, donation instructions are here: https://t.co/S6rarZkvRD Sorry, there's no concept of equity, but hey, we might name a phage after you 7.4K views · 46 likes · 2 reposts · 1 replies Open on X →
Right? Like some sort of way to horizontally acquire new genes from across the tree of life. New abilities that it didn't even evolve with just appearing. That would really be a major threat 497 views · 3 likes · 0 reposts · 1 replies Open on X →
Look I know all of you are on about "laws of physics" this and "sigmoids looking exponential on a log-log" that but there's a STRAIGHT LINE on the plot and it's headed towards extinction. We've gotta be worried. 12K views · 159 likes · 2 reposts · 2 replies Open on X →
@baym What if the E. coli was not only growing in number, but also in abilities, and could now do many tasks at the level of experts in many domains, faster than human experts? 556 views · 1 likes · 0 reposts · 0 replies Open on X →
@baym Woah, it must be super powerful. Can I invest all my money in it? 10K views · 63 likes · 1 reposts · 3 replies Open on X →
I’ve made a disturbing realization. This single E. coli has been consistently doubling every 20 minutes. It took only 13 hours for it to fill a liter. At this rate, in a day and a half it’ll be the size of the whole earth, which would have an over 10% chance of killing everyone 117.4K views · 1.7K likes · 76 reposts · 61 replies Open on X →
Spoiler: the scientists asked Fable “what is a cell?” 15.9K views · 217 likes · 14 reposts · 4 replies Open on X →
@nquinoneso and @implosian made a logo for our lab and it's incredible. I can't get over it https://t.co/STxl6snWJe
0 views · 1.3K likes · 110 reposts · 53 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views8 672this account924median for 10K–100K
Reach, %37.79%this account3.62%median for 10K–100K
Engagement, %0.74%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post8 6729249.39×
Reach (views ÷ followers)37.79%3.62%10.4×
Engagement rate0.74%1.52%0.49×

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

15.9K10 Sep
117.4K11 Sep
10K
556
12K
497
7.4K
44812 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

1.47%10 Sep
1.56%11 Sep
0.67%
0.18%
1.35%
0.80%
0.67%
0.22%12 Sep

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

What the audience does

Likes87.0%2 190 in total
Reposts3.8%95 in total
Replies2.9%72 in total
Bookmarks6.4%161 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.

Similar accounts