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Bias Meter

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Bias Meter

  • Profile
Stillness in the Storm was founded in 2013 by Justin Deschamps, a researcher and writer with a background in physics and philosophy. Deschamps created the website as a platform to explore and discuss alternative perspectives on various topics, including consciousness, spirituality, and unconventional interpretations of world events. The idea stemmed from his desire to provide a space for open dialogue and critical thinking about subjects often overlooked by mainstream media. Today, Stillness in the Storm remains independently owned and operated by Deschamps. Based in the United States, Stillness in the Storm covers a wide range of topics, including alternative news, conspiracy theories, spirituality, health and wellness, science, and technology. The website also delves into geopolitical issues, current events, and historical analyses from unconventional viewpoints. While not a traditional news outlet, Stillness in the Storm aims to provide its readers with information and perspectives that challenge conventional narratives and encourage critical thinking. One interesting fact: Stillness in the Storm has developed a unique approach to content curation, often incorporating elements of philosophy, metaphysics, and esoteric knowledge into its analysis of current events. This interdisciplinary approach has led to the creation of a diverse community of readers who engage in discussions that blend current affairs with spiritual and philosophical concepts.
Stillness in the Storm is ranked 19,060 among other media sources and has an average of 146,069 monthly visits according to Similar Web.
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Stillness in the Storm has a Bias Score of 12% Somewhat Right which is based on a variety of factors including its policy and politician leanings, article ratings, and the use of biased language. Its Reliability is rated as Good, and additional analytical insights are available in the other tabs.

  • Bias Rating

    12% Somewhat Right

  • Policy Leanings

    -12% Somewhat Left

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    -100%
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    100%
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    Good Reliability

    *Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

  • Politician Portrayal

    96% negative

Ratings are based on recent news using data science and A.I. technology.