Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Waluigi Effect | 3 | — | 0 | 3 | 3 100% |
| LessWrong.com | 3 | — | 0 | 3 | 2 66.7% |
| this summary | 3 | — | 0 | 3 | 3 100% |
| still terrible at playing Pokemon | 3 | — | 0 | 4 | 4 100% |
| compute | 3 | — | 0 | 4 | 4 100% |
| situational awareness | 3 | — | 0 | 5 | 5 100% |
| Multiagent Models of Mind | 3 | — | 0 | 7 | 7 100% |
| 2012 | 3 | — | 0 | 3 | 3 100% |
| Orthogonality Thesis | 3 | — | 0 | 3 | 3 100% |
| this article | 3 | — | 0 | 41 | 41 100% |
| Molochian dynamics | 3 | — | 0 | 3 | 3 100% |
| Kaj Sotala | 3 | — | 0 | 3 | 3 100% |
| A bear case: My predictions regarding AI progress | 3 | — | 0 | 4 | 4 100% |
| See more | 3 | — | 0 | 4 | 4 100% |
| calibration | 3 | — | 0 | 3 | 2 66.7% |
| AGI Ruin: A List of Lethalities | 3 | — | 0 | 3 | 1 33.3% |
| This | 3 | — | 0 | 3 | 3 100% |
| some | 3 | — | 0 | 3 | 3 100% |
| CEV | 3 | — | 0 | 4 | 4 100% |
| summary | 3 | — | 0 | 3 | 3 100% |
| The Best Textbooks on Every Subject | 3 | — | 0 | 6 | 6 100% |
| Michael Anissimov | 3 | — | 0 | 3 | 3 100% |
| https://www.lesswrong.com/posts/tscc3e5eujrsEeFN4/well-kept-gardens-die-by-pacifism | 3 | — | 0 | 11 | 11 100% |
| The Sequences | 3 | — | 0 | 4 | 4 100% |
| Evaporative Cooling of Group Beliefs | 3 | — | 0 | 3 | 2 66.7% |
| trivial inconvenience | 3 | — | 0 | 3 | 3 100% |
| argued | 3 | — | 0 | 4 | 4 100% |
| Nick Bostrom | 3 | — | 0 | 5 | 5 100% |
| Paul Christiano | 3 | — | 0 | 6 | 6 100% |
| hard takeoff | 3 | — | 0 | 3 | 3 100% |
| typical mind fallacy | 3 | — | 0 | 3 | 3 100% |
| Eliezer Yudkowsky’s rather deranged version | 3 | — | 0 | 3 | 3 100% |
| Blog | 2 | — | 0 | 3 | 1 33.3% |
|  | 2 | — | 0 | 4 | 4 100% |
| Seed AI | 2 | — | 0 | 3 | 3 100% |
| 37. | 2 | — | 0 | 2 | 1 50% |
| A new research agenda | 2 | — | 0 | 2 | 2 100% |
| evidence | 2 | — | 0 | 2 | 2 100% |
| privileging the hypothesis | 2 | — | 0 | 2 | 1 50% |
| Ideas for AI labs: Reading list | 2 | — | 0 | 2 | 2 100% |
| local validity | 2 | — | 0 | 2 | 2 100% |
| Goodharting | 2 | — | 0 | 2 | 2 100% |
| Whole brain emulation | 2 | — | 0 | 3 | 3 100% |
| disagreement | 2 | — | 0 | 2 | 2 100% |
| Center on Long-Term Risk | 2 | — | 0 | 4 | 4 100% |
| Simulators | 2 | — | 0 | 2 | 1 50% |
| Raemon | 2 | — | 0 | 3 | 3 100% |
| http://lesswrong.com/r/discussion/lw/j8v/in_praise_of_tribes_that_pretend_to_try/ | 2 | — | 0 | 2 | 0 0% |
| 97. | 2 | — | 0 | 2 | 1 50% |
| Let’s think about slowing down AI | 2 | — | 0 | 2 | 1 50% |
Frequently Asked Questions
What anchor texts are used to link to lesswrong.com?
This page shows all anchor texts found in backlinks pointing to lesswrong.com, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe lesswrong.com.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does lesswrong.com have?
The anchor text report for lesswrong.com displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.