How Long $2 Million in Retirement Will Last in Every State
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
-52% Medium Left
- 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
25% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Center
Somewhat Conservative
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
59% : All 50 states (plus Washington, D.C.) were then ranked with No. 1 being the state where $2 million will last the longest, and No. 51 is where it will run out most quickly.56% : All 50 states and the District of Columbia were then ranked with No. 1 being the state where $2,000,000 will last the longest and No. 51 being the state where it will run out most quickly.
49% : Early Retirement: Here's How Much Savings Is Needed To Retire by 40 in Every State Try This: Retirement Planning: How Much the Average Person Under 70 Spends Monthly For You: 5 Places in America To Retire That Are Just as Cheap as Mexico, Portugal and Costa Rica Discover More: 4 Reasons Retired Women Need More Money Than Men -- And What To Do About it Explore More: Retirement Savings: 4 Expenses Retirees Regret Keeping in Their Budgets, According to Experts Read More: I'm A Retirement Planner: 4 Moves You Should Make If You Think Trump Will Win the 2024 Election Find Out: I'm an Economist:
36% : Here's My Prediction for Social Security If Biden Wins the 2024 Election Learn More: I'm Retired and I Regret Not Taking Social Security at Age 62 --
*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.
