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Freakonomics ✓

@Freakonomics · joined 24 Apr 2008

Shows that explore the hidden side of everything with Stephen Dubner. Check out our new show Better in Person on the Freakonomics YouTube channel.

581 704Followers
951Following
17 385Posts total
71.3KViews on collected posts

Neueste Beiträge

Kurt Warner doesn’t believe great athletes rise to the occasion. The Hall of Fame quarterback has played in some of football’s biggest arenas. But when Stephen Dubner asked what made him so good under pressure, Warner offered a different way of thinking about it … Maybe the htt
16K views · 51 likes · 4 reposts · 5 replies Open on X →
Picking a great NFL quarterback seems like it shouldn’t be that difficult. Teams have college stats, game tape, the scouting combine, cognitive tests, and armies of experts. And yet quarterback evaluation remains “one of the most studied and still most uncertain problems in all
8.6K views · 10 likes · 1 reposts · 2 replies Open on X →
What's the best way to cap off a great conversation with an old friend? A mathematical proof showing that there are infinite infinities. https://t.co/9VxL9zF6QE
1:21
10.7K views · 7 likes · 2 reposts · 0 replies Open on X →
The U.S. has been through massive economic disruption before. @GinaRaimondo thinks we should learn from the past about how to respond. https://t.co/tjQ1q1vFw3
7.7K views · 5 likes · 2 reposts · 1 replies Open on X →
Spotted in Yahoo Sports 👀 https://t.co/CJzQHZW2kM https://t.co/GougxohvYC
13.9K views · 11 likes · 1 reposts · 0 replies Open on X →
What does it take to play offensive line in the NFL? John Urschel bench pressed 225 pounds 30 times at the @NFL scouting combine before getting drafted to the Baltimore Ravens. https://t.co/RWgOo4U8g9
1:02
8.1K views · 3 likes · 0 reposts · 3 replies Open on X →
How did @GinaRaimondo convince TSMC to manufacture more of its chips in America? The former Commerce Secretary tells Stephen Dubner about the behind-the-scenes push that helped get the company on board, including how she enlisted some of its biggest customers, @Apple, @nvidia
0:54
6.2K views · 7 likes · 2 reposts · 1 replies Open on X →

Im Vergleich zu Konten gleicher Größe

7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe8 598dieses Konto5 983Median für 100K–1M
Reichweite, %1.48%dieses Konto1.49%Median für 100K–1M
Interaktion, %0.10%dieses Konto0.93%Median für 100K–1M
KennzahlDieses KontoMedian für 100K–1MVerhältnis
Medianaufrufe pro Beitrag8 5985 9831.44×
Reichweite (Aufrufe ÷ Follower)1.48%1.49%0.99×
Interaktionsrate0.10%0.93%0.11×

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

6.2K9 Sep
8.1K10 Sep
13.9K
7.7K12 Sep
10.7K13 Sep
8.6K14 Sep
16K17 Sep

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

0.16%9 Sep
0.07%10 Sep
0.09%
0.10%12 Sep
0.08%13 Sep
0.16%14 Sep
0.38%17 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes58.4%94 in total
Reposts7.5%12 in total
Replies7.5%12 in total
Quotes1.2%2 in total
Bookmarks25.5%41 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.

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