projection unreliability

[prə-ˈjek-shən ˌən-ri-ˈlī-ə-bi-lə-tē]
nounpl: projection unreliabilities
falta de confiabilidade da projeção
1. The degree to which a forecast, estimate, or projection cannot be relied upon or trusted due to uncertainties, incomplete data, or inherent limitations in the predictive model
The projection unreliability of the economic forecast increased due to unpredictable market volatility.
A falta de confiabilidade da projeção da previsão econômica aumentou devido à volatilidade imprevisível do mercado.
2. In technical and scientific contexts, the margin of error or confidence intervals that indicate how uncertain or variable a projection might be
Climate scientists acknowledge the projection unreliability when predicting long-term weather patterns.
Os climatologistas reconhecem a falta de confiabilidade da projeção ao prever padrões climáticos de longo prazo.
This term is primarily used in technical, scientific, and business contexts in both American and Brazilian English/Portuguese. In Brazil, it's commonly employed in financial forecasting, climate science discussions, and engineering reports. The concept reflects a growing acknowledgment in data-driven cultures of the limitations of predictive modeling and the importance of transparency about uncertainty.
Synonyms / Sinônimos
projection uncertaintyforecast unreliabilitypredictive unreliabilityestimation errorforecast uncertainty
Antonyms / Antônimos
projection reliabilityforecast accuracypredictive certainty

Regional Variations

General Brazilian
falta de confiabilidade da projeção
Most common usage in technical and business contexts
São Paulo
incerteza da projeção
Often used in financial and corporate analysis
Rio de Janeiro
falta de confiabilidade das estimativas
Alternative phrasing commonly used
Portugal
falta de fiabilidade da projeção
Uses 'fiabilidade' instead of 'confiabilidade'

Related Words

projection errorforecast confidenceuncertainty marginconfidence intervalpredictive modeldata variability

Related Idioms & Phrases

take projections with a grain of salt
the projections are only as good as the data
garbage in, garbage out
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