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    The Science of A/B Testing: Data-Driven Decisions and Statistics

    19 min
    |
    |
    13 мая 2026 г.
    BusinessScienceTechnology

    Learn the science of A/B testing and data-driven decisions. Explore how randomized controlled experiments, like the 2008 Obama campaign, drive real business results.

    The Science of A/B Testing: Data-Driven Decisions and Statistics

    Лучшая цитата из The Science of A/B Testing: Data-Driven Decisions and Statistics

    “

    A/B testing is much more than just a marketing tool; it’s a commitment to intellectual honesty and moving from 'I think' to 'the evidence shows.' If you shortcut the sample size or peek at results early, you’re just creating a fancy way to lie to yourself with numbers.

    ”

    Этот аудиоурок был создан участником сообщества BeFreed

    Вопрос для ввода

    Data analytics for ab test

    Голоса ведущих
    Lenaplay
    Milesplay
    Стиль обучения
    Глубокий
    Источники знаний
    A/B Testing — Statistical Modelling for Data Science
    link
    https://ubc-stat.github.io/stat301book/ch01_abTesting.html
    A/B Testing - A complete guide to statistical testing | Towards Data Science
    link
    https://towardsdatascience.com/the-5-basic-statistics-concepts-data-scientists-need-to-know-2c96740377ae
    How to choose the right A/B test | ABtesting.tools
    link
    https://abtesting.tools/guides/choosing-a-test
    A/B Testing Methodology: Statistical | Digital Codex
    link
    https://www.clarigital.com/codex/analytics-cro/ab-testing-methodology/
    A/B Testing Best Practices & Tools [2026] | grow-conversions.com
    link
    https://grow-conversions.com/blog/ab-testing-best-practices/

    Часто задаваемые вопросы

    A/B testing is a randomized controlled experiment where a control version is compared against a variation to see how users actually respond. It is a game changer for marketing and product development because it replaces gut feelings with data-driven decisions. As seen in the 2008 Obama campaign, effective testing can lead to massive results, such as sixty million dollars in donations, by identifying the most effective designs.

    The 2008 Obama campaign is a famous example of using randomized controlled experiments to optimize website designs for donations. Instead of guessing which version would perform best, the team used A/B testing to compare different variations. This scientific approach to marketing data was linked to an additional sixty million dollars in donations, proving that data-driven decisions are far more reliable than intuition alone.

    Many teams make the mistake of stopping an experiment as soon as they see a winner, but this often results in capturing statistical noise rather than true significance. Peeking at results early can cause the false positive rate to jump from a standard five percent to over twenty-six percent. This leads to expensive business decisions based on inaccurate data, highlighting the importance of understanding the statistics behind the science of A/B testing.

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    Создано выпускниками Колумбийского университета в Сан-Франциско

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    "I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

    @Chloe, Solo founder, LA
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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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    "Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

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    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

    @Erin, Investment Banking Associate , NYC
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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

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    "BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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    "Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

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    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

    @Erin, Investment Banking Associate , NYC
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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

    @djmikemoore
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    "BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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    "Makes me feel smarter every time before going to work"

    @Cashflowbubu
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    Избранные книги
    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    Популярные категории
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    Списки чтения знаменитостей
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    Коллекция наград
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    Избранные темы
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    Лучшие книги по годам
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    Инструменты обучения
    Knowledge VisualizerAI Podcast Generator
    Избранные авторы
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed vs другие приложения
    BeFreed vs. Other Book Summary AppsBeFreed vs. ElevenReaderBeFreed vs. ReadwiseBeFreed vs. Anki
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    Ключевые выводы

    1

    Section 1: The High Stakes of the Obama Campaign’s Website

    0:00
    0:14
    0:35
    0:54
    1:19
    1:42
    2:01
    2

    Section 2: Beyond the Button Color and Into the Null Hypothesis

    2:16
    2:34
    2:43
    3:01
    3:17
    3:35
    3:45
    4:07
    4:16
    3

    Section 3: The Five Step Framework for Experimental Design

    4:31
    4:42
    4:55
    5:10
    5:24
    5:37
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    6:03
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    4

    Section 4: Why Your Sample Size is Non-Negotiable

    6:43
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    5

    Section 5: The Peeking Problem and the Danger of Early Stopping

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    6

    Section 6: Why Two Weeks is the Golden Rule for Duration

    11:38
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    7

    Section 7: Segmentation and the Trap of the "Average" Result

    13:36
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    8

    Section 8: The Practical Playbook for Your Next Test

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    9

    Section 9: Closing Reflection on Statistical Discipline

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    19:41

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