The Number Of Those Who Don't Pay Federal Income Tax Drops To Pre-Pandemic Levels
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
64% Medium Right
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
N/A
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
47% : Only a tiny fraction of people with very high incomes avoid paying federal income tax.47% : But, for the most part, people don't pay income tax because they have little income.
46% : People generally don't pay federal income tax because, well, they don't make very much money.
44% : Similarly, more households will pay income taxes starting in 2026 if the individual tax cuts of the TCJA expire as scheduled at the end of 2025.
44% : While some politicians imply that people somehow are cheating the system by not paying taxes, the reality is quite different.
43% : Assuming the US avoids an economic slump, the share of households who do not pay federal income tax will remain steady in 2023, then fall slightly.
41% : Both are at least partially refundable and can reduce tax alibility to zero or even give money to those with no income tax liability.
*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.