Appeal Of $90 Tax Court Decision Shows Passion Of Pro Bono Attorney
- Bias Rating
60% Medium Conservative
- Reliability
N/AN/A
- Policy Leaning
60% Medium Conservative
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
- Liberal
- 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:
51% : On May 3, 2019 the Jersey boys on behalf of Ms. Grajales served trial subpoenas on New York State Department of Taxation and Finance, New York State & Local Retirement System and New York State Deferred Compensation Plan.44% : 72(t) exaction is a "tax" rather than a "penalty", "addition to tax", or "additional amount" and so is not subject to the written supervisory approval requirement of I.R.C. sec. 6751(b).
42% : New York State Department of Taxation and Finance had not responded to the subpoena yet.
40% : A joint status report signed by Frank and the IRS attorney on July 15 indicated that the New York State Department of Taxation and Finance was still being difficult.
39% : The terms "penalty," "additional amount," and "addition to tax" do not appear in Section 72(t).
*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.