
'Cheap' solar and wind is a lie, green countries pay more!
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
38% Somewhat Right
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. 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.
Sentiments
17% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
61% : In reality, on days with plenty of wind and sun, renewable energy produces close to 70% of Germany's needs.60% : When there is no sun and wind, green energy needs plenty of back-up, often powered by fossil fuels.
58% : That leaves more than twenty-three hours of energy that needs to be powered mostly by fossil fuels.
53% : Instead, across poorer countries, where electricity consumption rose almost 5% from 2022 to 2023, most of the addition came from fossil fuels, with coal contributing more than all solar and wind additions.
52% : In the US, however, solar and wind costs are paid indirectly through tax deductions, implying that the actual cost of electricity with solar and wind is perhaps 25% higher than stated prices.
49% : We will only fix climate change and make a transition when green energy truly becomes cheaper than fossil fuels.
48% : One study looking at China showed that the real cost of solar power on average turns out to be twice as high as coal, while a peer-reviewed study of Germany and Texas shows solar and wind are many times more expensive than fossil fuels. Germany and the UK now have so much "low-cost" solar and wind that their electricity costs have become among the world's most expensive.
37% : The claim that cheap solar and wind is taking over from fossil fuels is a dangerous, expensive lie.
*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.