Simon Rogers

@smfrogers · San Francisco · joined 17 Apr 2008

Author of What We Ask Google, May 2026. Data storyteller @Google. @Twitter, @Guardian. Co-host w/ @AlbertoCairo & @kleinmatic of the Data Journalism Podcast

31 813Followers

2 840Following

18 811Posts total

5.5KViews on collected posts

โพสต์ล่าสุด

Simon Rogers@smfrogers5 Sep

Really enjoyed this in-depth chat with @williamnhutton about what search data can teach us about ourselves 594 views · 0 likes · 0 reposts · 0 replies Open on X →

Simon Rogers@smfrogers2 Sep

@williamnhutton @smfrogers @Google The We Society podcast🎙️ is brought to you by the Academy of Social Sciences in association with the @NuffieldFound and @LeverhulmeTrust. Listen, subscribe & find out more👂 ➡️  https://t.co/h9N6IcTEZm https://t.co/ZFa7P1VLx1

693 views · 0 likes · 0 reposts · 0 replies Open on X →

Simon Rogers@smfrogers11 Aug

Last time there was a major solar #eclipse in the US, there was also a spike in searches for "Why do my eyes hurt?" and "My eyes hurt after eclipse". It literally tracked the path of the eclipse across the map. ☀️🕶️ Find more of our search insights: https://t.co/2orCI3HgUA htt

2.5K views · 17 likes · 4 reposts · 0 replies Open on X →

Simon Rogers@smfrogers27 Jun

So sad to hear this. One of the nicest men in journalism and an excellent reporter with a sharp nose for real stories. 1K views · 2 likes · 0 reposts · 0 replies Open on X →

Simon Rogers@smfrogers20 Jun

Searches for "Am I a good dad?" have hit record highs. If the dad in your life is still trying to figure out how to boil an egg, What We Ask Google is the perfect #fathersday gift. https://t.co/2orCI3GJ52 🥚🐶👇 https://t.co/QcnpDrcvED

0:24

353 views · 1 likes · 0 reposts · 2 replies Open on X →

Simon Rogers@smfrogers12 May

From the surprisingly mundane ("how to boil an egg") to the truly momentous ("how to help"), what do our Google searches say about us? Watch this quick intro to my new book, What We Ask Google, to see why the data gives us so much hope for humanity. 🔍🌍 https://t.co/2orCI3HgUA htt

0:27

365 views · 0 likes · 0 reposts · 0 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

3 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน693บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %2.18%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.00%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	693	924	0.75×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	2.18%	3.62%	0.60×
อัตราการมีส่วนร่วม	0.00%	1.52%	0.00×

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

36512 May

35320 Jun

1K27 Jun

2.5K11 Aug

6932 Sep

5945 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.00%12 May

0.85%20 Jun

0.20%27 Jun

0.85%11 Aug

0.00%2 Sep

0.00%5 Sep

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

What the audience does

Likes66.7%20 in total

Reposts13.3%4 in total

Replies6.7%2 in total

Bookmarks13.3%4 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.