Opinion | All snowflakes are the same

Source: Washington Post - View Original Article
Published: Jan 23, 2020
Category:
Bias Rating:

100% Conservative


Bias Score Calculation:


Policies:

Travel Ban
Eminent Domain
Clean Energy
Religious Freedom
Assisted Suicide

Sentiments

89% "The argument that they are different because the molecules are in different order can be applied to any objects we all know are alike: ..."
-63% "To claim that no two have been alike in the history of the universe, including all the snow on Earth since the Earth was ..."
-64% "They are all alike: small and cold.""
-85% "In short, it's one of those canards people like to repeat unthinkingly, with no reasonable definition of alike and no data available to support ..."
-86% "The Jan 20 KidsPost article Evidence is crystal clear: No 2 snowflakes are alike perpetuated the ridiculous position that no two snowflakes are alike.""


*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

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Contributing sentiments towards policy:

89% : The argument that they are different because the molecules are in different order can be applied to any objects we all know are alike: billiard balls, Ikea furniture, forks.
37% : To claim that no two have been alike in the history of the universe, including all the snow on Earth since the Earth was formed, all the snow on other planets, and even the snow on other solar systems, has no possible empirical basis.
36% : They are all alike: small and cold.
15% : In short, it's one of those canards people like to repeat unthinkingly, with no reasonable definition of "alike" and no data available to support the position.
14% : The Jan 20 KidsPost article "Evidence is crystal clear: No 2 snowflakes are alike" perpetuated the ridiculous position that no two snowflakes are alike.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

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