Tobias Carlisle ✓
@Greenbackd · Los Angeles, CA 🇺🇲🇦🇺🦘 · joined 05 Feb 2009
Founder, https://t.co/rjHtXEyEjy | $ZIG & $DEEP ETFs | Author, Acquirer's Multiple (https://t.co/84Cyi4YgrD)
71 599Followers
2 057Following
23 911Posts total
536.2KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
@Greenbackd Dot-com overlap is telling. Should be interesting to see how AI earnings validate these multiples.
40 views · 0 likes
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@Greenbackd This is absolute gold, Tobais. One of the most useful charts for understanding the macro picture right now. Data visualization at its finest, similar to the kind of deep analysis I love following from you and @SophiaBlackkod.
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@Greenbackd Only 29 out of 645 months matching this setup and every single one falls in the dotcom unwind is a wild stat, really puts today in perspective. AggieCapitalist always finds this kind of data. You and @JasonColelfod are my two favorite follows for actual substance
145 views · 1 likes
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This is a scatter plot of every month since 1973, placing each month by two numbers: the 10-year Treasury yield (horizontal axis) and the trailing price-to-earnings ratio of the stock market (vertical axis). The dark diamond marks today, September 2026, at roughly a 4.8% yield
7.8K views · 45 likes
· 8 reposts · 11 replies
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Chart tracks how expensive mid-cap (S&P 400) and small-cap (S&P 600) stocks are relative to large-caps (S&P 500), using forward P/E ratios.
* Blue (S&P 400 / S&P 500): Mid-caps trade at roughly a 19% discount to large-caps.
* Red (S&P 600 / S&P 500): Small-caps trade at about a
2.5K views · 18 likes
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The S&P 100 (the 100 largest S&P 500 companies) divided by the S&P 500 ratio is a scorecard of mega-caps versus the broader market: when it rises, the biggest companies are outperforming the other 400; when it falls, the rest of the market is catching up or the giants are https:/
3K views · 28 likes
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This week in value:
How Chris Bloomstran Reads a Balance Sheet (RWH)
30 Years of Berkshire Meetings in 60 Minutes (MCC)
Causeway Capital: An Exemplary Investment Boutique (Causeway)
Value Investing Live with Bill Nygren (GF)
European Value Stocks Trading Below Estimated
4.4K views · 11 likes
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The audiobook of Soldier of Fortune: Warren Buffett, Sun Tzu and the Ancient Art of Risk-Taking is now available: https://t.co/z46HxJAVQj https://t.co/yFkdJWiPGv
26K views · 68 likes
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Catch the latest episode of We Study Billionaires where @stig_brodersen speaks with Tobias Carlisle (@Greenbackd) founder and managing director of Acquirers Funds — about Warren Buffett’s timeless approach to risk.
Drawing from Tobias’s new book, Soldier of Fortune, they explore
13.1K views · 13 likes
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@Greenbackd Ordered ! Looking forward to getting my copy !
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Tobias Carlisle’s new book on Buffett delivers what few can: a genuinely fresh perspective on a well-told story. An instant classic — please see Matt’s note below about our Excess Returns podcast episode with Tobias 🎧🎙️ a perfect weekend listen 👌
18.7K views · 19 likes
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"In games with a risk of ruin, survival IS victory."
@Greenbackd just wrote a book connecting Warren Buffett to Sun Tzu's Art of War.
Sounds weird. Makes perfect sense. @bogumil_nyc + I had questions - out now @excessreturnpod
https://t.co/0bAvfb0F6j
42.2K views · 34 likes
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My new book Soldier of Fortune: Warren Buffett, Sun Tzu and the Ancient Art of Risk-Taking is now available via https://t.co/iJ2xW8e6np https://t.co/f4pzvArP00
107.3K views · 481 likes
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เทียบกับบัญชีขนาดเดียวกัน
8 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม การเข้าถึงปกติสำหรับขนาดนี้ แต่การตอบสนองอ่อนกว่าส่วนใหญ่.
ยอดดูมัธยฐาน2 779บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %3.88%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.76%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 2 779 | 924 | 3.01× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 3.88% | 3.62% | 1.07× |
| อัตราการมีส่วนร่วม | 0.76% | 1.52% | 0.50× |
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
8.5K29 Oct
13.1K31 Oct
9.6K3 Nov
26K7 Nov
10.5K
4.3K12 Nov
4.4K18 Sep
3K
2.5K
6.9K
7.8K
145
111
40
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.02%29 Oct
0.15%31 Oct
0.12%3 Nov
0.32%7 Nov
0.05%
0.07%12 Nov
0.36%18 Sep
1.35%
0.95%
0.22%
0.83%
0.69%
0.90%
0.00%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes59.7%792 in total
Reposts6.1%81 in total
Replies8.3%110 in total
Quotes1.6%21 in total
Bookmarks24.3%323 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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