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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">politscience</journal-id><journal-title-group><journal-title xml:lang="ru">Политическая наука</journal-title><trans-title-group xml:lang="en"><trans-title>Political science</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-1775</issn><publisher><publisher-name>ИНИОН РАН</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">politscience-607</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Две моих мечты. (Изложение лекции Рейна Таагеперы, лауреата премии имени Карла Дойча)</article-title><trans-title-group xml:lang="en"><trans-title>Two my dreams. (Summary of the Rein Taagepera 's lecture, Karl Deutsch’s prize laureate)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Таагепера</surname><given-names>Рейн</given-names></name><name name-style="western" xml:lang="en"><surname>Taagepera</surname><given-names>Rein</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Калифорнийский университет в Ирвине<country>Россия</country></aff><aff xml:lang="en">University of California<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>12</day><month>05</month><year>2023</year></pub-date><volume>0</volume><issue>1</issue><issue-title>Будущее политической науки</issue-title><fpage>12</fpage><lpage>39</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Таагепера Р., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Таагепера Р.</copyright-holder><copyright-holder xml:lang="en">Taagepera R.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.politnauka.ru/jour/article/view/607">https://www.politnauka.ru/jour/article/view/607</self-uri><abstract><p>Наука шагает на двух ногах. Первый шаг заключается в вопросе о положении дел. Ответ дают наблюдение, измерение, визуализация и статистическое описание. Второй шаг состоит в выяснении того, как должны бы обстоять дела из соображений логики. Тут ответ дают логические модели, подкрепленные количественными предсказаниями. Наука большей частью состоит из таких моделей, проверяемых на данных. Развитая наука устанавливает связи не только между индивидуальными факторами, но и связи между этими связями. Однако социальные науки часто идут более простой дорогой и подгоняют исходные данные под прямую линию или какую-то модную схему, не отдавая себе отчета в необходимости думать и строить модели на основе логики. Решительное обновление методологии социальных наук является настоятельным.</p></abstract><trans-abstract xml:lang="en"><p>Science walks on two legs. One leg consists of asking: How things are ? This leads to observation, measurement, graphing, and statistical description. The other leg consists of asking: How things should be , on logical grounds? This leads to logical models that should become quantitatively predictive. Science largely consists of such models, tested with data. Developed science establishes not only connections among individual factors but also connections among these connections. But social sciences often take the lazy road of fitting raw data with a straight line or some fashionable format, unaware of the need to think and build models based on logic. Major widening in social science methodology is crucial.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>логические модели</kwd><kwd>количественные предсказательные модели</kwd><kwd>неверное использование статистики</kwd><kwd>нелинейные отношения</kwd><kwd>связи между связями</kwd><kwd>logical models</kwd><kwd>quantitatively predictive models</kwd><kwd>misuse of statistics</kwd><kwd>nonlinear relationships</kwd><kwd>connections among connections</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Achen C.H. Let’s put garbage-can regressions and garbage-can probits where they belong // Conflict management and peace science. - University Park, PA, 2005. - Vol. 22, N 4. - P. 327-339.</mixed-citation><mixed-citation xml:lang="en">Achen C.H. 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