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1. https://www.amazon.com/Witches-Suspicion-Betrayal-Hysteria-Salem/dp/031620059X

2. https://www.amazon.com/Chemist-Stephenie-Meyer/dp/0316387843

3. ​ What Is The Morning Writing Effect?

4. https://www.goodreads.com/featured_lists/1-author-interviews

5. Abandoned-Books Tag

6. Couldn’t-Finish-Books Tag

7. Didn’t-Finish Books

8. Did-Not-Finish Tagged Books

9. Goodreads: Gwern (4,415 Books)

10. The Summer’s Most Unread Book Is… A simple index drawn from e-books shows which best sellers are going unread (we’re looking at you, Piketty)

11. Kindle Unlimited Book Stuffing Scam Earns Millions and Amazon Isn’t Stopping It: Book stuffer Chance Carter is gone. But readers are still paying for books that are 90% filler.

12. Bad romance: To cash in on Kindle Unlimited, a cabal of authors gamed Amazon’s algorithm

13. ​ ‘Bayes/regression-to-mean’ directory

14. https://www.goodreads.com/api

15. Goodreads plans to retire API access, disables existing API keys

16. The Goodreads ‘Classics’: A Computational Study of Readers, Amazon, and Crowdsourced Amateur Criticism

17. Black Leopard Red Wolf was sold as an African Game of Thrones. It’s a weirder book than that. Man Booker Prize winner Marlon James goes genre with his latest novel.

18. https://www.amazon.com/Spinster-Making-Life-Ones-Own/dp/0385347154

19. brms: an R package for Bayesian generalized multivariate non-linear multilevel models using Stan

20. ​ resorter#background

    [Transclude the forward-link's context]

21. Estimating Distributional Models with brms: Additive Distributional Models

22. Piracy is progressive taxation, and other thoughts on the evolution of online distribution: Seven lessons from Tim O’Reilly’s experience as an author and publisher

23. The Mathematics Of Beauty

24. ​ Book Reviews

25. Goodbooks-10k: a new dataset for book recommendations

26. goodbooks-10k: Ten thousand books, six million ratings: https://fastml.com/goodbooks-10k

27. The Most Loved and Hated Classic Novels According to Goodreads Users

28. What are the movies that audiences loved but the critics hated? Analysis of 10,000 movies reveals the films with the highest disparity between critic and audience reviews

29. https://www.reddit.com/r/books/comments/ekhfbb/the_most_abandoned_books_on_goodreads/

30. https://news.ycombinator.com/item?id=21957798

31. https://news.ycombinator.com/item?id=38734595

32. The Most Begun "Read but Unfinished" (Started) Book Ever

33. Wikipedia Bibliography:

    1. Tag (metadata)

    2. The Casual Vacancy  :

       https://en.wikipedia.org/wiki/The_Casual_Vacancy

    3. J. K. Rowling

    4. Catch-22

    5. Joseph Heller

    6. American Gods  :

       https://en.wikipedia.org/wiki/American_Gods

    7. Neil Gaiman

    8. A Game of Thrones  :

       https://en.wikipedia.org/wiki/A_Game_of_Thrones

    9. George R. R. Martin  :

       https://en.wikipedia.org/wiki/George_R._R._Martin

    10. The Book Thief  :

        https://en.wikipedia.org/wiki/The_Book_Thief

    11. Markus Zusak  :

        https://en.wikipedia.org/wiki/Markus_Zusak

    12. Black Leopard, Red Wolf  :

        https://en.wikipedia.org/wiki/Black_Leopard,_Red_Wolf

    13. Marlon James (novelist)  :

        https://en.wikipedia.org/wiki/Marlon_James_(novelist)

    14. Space Opera (Valente novel)  :

        https://en.wikipedia.org/wiki/Space_Opera_(Valente_novel)

    15. Catherynne M. Valente  :

        https://en.wikipedia.org/wiki/Catherynne_M._Valente

    16. Little, Big  :

        https://en.wikipedia.org/wiki/Little,_Big

    17. John Crowley (author)  :

        https://en.wikipedia.org/wiki/John_Crowley_(author)

    18. Stacy Schiff

    19. Tender Morsels  :

        https://en.wikipedia.org/wiki/Tender_Morsels

    20. Margo Lanagan  :

        https://en.wikipedia.org/wiki/Margo_Lanagan

    21. Stephenie Meyer

    22. Infinite Jest  :

        https://en.wikipedia.org/wiki/Infinite_Jest

    23. David Foster Wallace

    24. The Glass Bead Game  :

        https://en.wikipedia.org/wiki/The_Glass_Bead_Game

    25. Hermann Hesse

    26. Theft by Finding: Diaries (1977–2002)  :

        https://en.wikipedia.org/wiki/Theft_by_Finding:_Diaries_(1977%E2%80%932002)

    27. David Sedaris

    28. Goodreads

    29. LibraryThing  :

        https://en.wikipedia.org/wiki/LibraryThing

    30. Amazon Kindle

    31. Thomas Piketty  :

        https://en.wikipedia.org/wiki/Thomas_Piketty

    32. Capital in the 21^st Century  :

        https://en.wikipedia.org/wiki/Capital_in_the_Twenty-First_Century

    33. Kindle Store § Kindle Unlimited  :

        https://en.wikipedia.org/wiki/Kindle_Store#Kindle_Unlimited

    34. Winner’s curse

    35. Multilevel model

    36. ELinks  :

        https://en.wikipedia.org/wiki/ELinks

    37. Data transformation (statistics)  :

        https://en.wikipedia.org/wiki/Data_transformation_(statistics)

    38. Spearman's rank correlation coefficient

    39. Dhalgren  :

        https://en.wikipedia.org/wiki/Dhalgren

    40. Natsume Sōseki  :

        https://en.wikipedia.org/wiki/Natsume_S%C5%8Dseki

    41. I Am a Cat

    42. Ben Marcus  :

        https://en.wikipedia.org/wiki/Ben_Marcus

    43. Elena Ferrante

    44. Philip K. Dick

    45. John Carreyrou

    46. B-spline

    47. Twilight (novel series)

    48. The Silmarillion

    49. A Connecticut Yankee in King Arthur’s Court

    50. Harry Potter and the Methods of Rationality (WP)  :

        https://en.wikipedia.org/wiki/Harry_Potter_and_the_Methods_of_Rationality

    51. Perdido Street Station  :

        https://en.wikipedia.org/wiki/Perdido_Street_Station

    52. Cryptonomicon

    53. Solitaire (cipher)

    54. Tim O'Reilly