
Don't make Isas a great British failure
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
-40% Somewhat 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
33% 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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Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
58% : Industry proposals include dropping the cash element to £4,000 in the mistaken belief you can force people to invest, not to mention skewing tax breaks towards UK-listed stocks.56% : She looked triumphant this week after forcefully persuading 17 big pension funds to pump an estimated £25bn of workers' retirement savings into UK companies, infrastructure and property by the end of the decade.
52% : Rather than add complexity by limiting future tax breaks to UK equities, there's compelling evidence that widening investor participation would naturally increase UK inflows due to investors' home bias.
52% : Constantly changing the rules governing long-term investments destroys trust in the system, as we have seen with the panicked withdrawal of pensions tax-free cash in the run-up to the last Budget (I wonder how much of that is sitting in cash accounts).
47% : Could she favour wholly or partly restricting the tax-free benefits of investment Isas to UK equities in future?
42% : If a diehard cash saver decided they did want to invest some money, this would require opening a separate Isa product (likely with a different provider) and organising a transfer to preserve the tax benefits.
*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.