Bloomberg CityLab ✓

@CityLab · New York, NY · joined 08 Jul 2011

All things urban. Read: https://t.co/xNhsFT1F3S | Subscribe to our new newsletter on architecture and design. Link in bio ⬇️

221 831Followers

757Following

140 126Posts total

13.8KViews on collected posts

โพสต์ล่าสุด

Bloomberg CityLab ✓@CityLab8 Sep

From memoirs by Francis Fukuyama and Judi Dench to in-depth tomes on post-literacy and extreme cycling, here are this fall's most anticipated nonfiction books https://t.co/kfrCaoNw5W 2.6K views · 0 likes · 1 reposts · 0 replies Open on X →

Bloomberg CityLab ✓@CityLab8 Sep

AI is taking the forecasting of tropical storms, the deadliest and costliest type of weather disaster, to another level https://t.co/i7gilTJfiy 2K views · 0 likes · 0 reposts · 0 replies Open on X →

Bloomberg CityLab ✓@CityLab8 Sep

Some 90,000 reservoirs supply nearly 70% of US water supplies. But they are slowly filling up with sediment — and wildfire and rains are making it worse. The solutions are tricky and expensive https://t.co/E0g7j7Prew 1.9K views · 4 likes · 5 reposts · 0 replies Open on X →

Bloomberg CityLab ✓@CityLab7 Sep

@CityLab I'm still curious about the ability of autonomous vehicles to handle gravel roads, completely unmarked poorly paved roads, animals in the road, and more. They have lots of training data from urban areas. My guess is that rural roads will present problems for them. 5 views · 0 likes · 0 reposts · 0 replies Open on X →

Bloomberg CityLab ✓@CityLab6 Sep

@CityLab The more rural, the more deadheading... I guess. Unless ride-hailers anticipate this by (even better) reserving rides forth and back. 8 views · 0 likes · 0 reposts · 0 replies Open on X →

Bloomberg CityLab ✓@CityLab5 Sep

Waymo, Zoox and Tesla are clamoring to bring autonomous ride-hailing to cities like New York and Boston. But it’s small towns and rural areas that could see the biggest upside from AVs, writes David Zipper. Read his perspective here: https://t.co/bBmkskINJm 📷️: Tayfun https://t.

2.7K views · 2 likes · 0 reposts · 2 replies Open on X →

Bloomberg CityLab ✓@CityLab22 Apr

The week’s most thought-provoking stories, ideas and analysis from cities around the world. Subscribe to our CityLab Weekly newsletter: https://t.co/2m3grEuGt3 https://t.co/ECwjCVU9yN

4.7K views · 5 likes · 0 reposts · 0 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน1 913บัญชีนี้4 254ค่ามัธยฐานของ 100K–1M

การเข้าถึง, %0.86%บัญชีนี้1.66%ค่ามัธยฐานของ 100K–1M

การมีส่วนร่วม, %0.02%บัญชีนี้1.34%ค่ามัธยฐานของ 100K–1M

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 100K–1M	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	1 913	4 254	0.45×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	0.86%	1.66%	0.52×
อัตราการมีส่วนร่วม	0.02%	1.34%	0.01×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

4.7K22 Apr

2.7K5 Sep

86 Sep

57 Sep

1.9K8 Sep

2.6K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.11%22 Apr

0.15%5 Sep

0.00%6 Sep

0.00%7 Sep

0.48%8 Sep

0.00%

0.04%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.34%.

What the audience does

Likes50.0%11 in total

Reposts27.3%6 in total

Replies9.1%2 in total

Bookmarks13.6%3 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

บัญชีที่คล้ายกัน