An example of public criticism about the accuracy of TV weather forecasting was represented and analyzed. What can meteorologists learn from it to better serve public and endusers on a solid scientific basis? Given the chaotic nature of atmospheric system and imperfect observations and numerical models, it is scientifically impossible to predict the weather in 100% accuracy. How to evaluate weather forecasts is also problematic and confusing in many ways. Reform is needed in both the ways of producing and providing weather forecast information. A forecast without explicitly describing quantitative uncertainty information is incomplete. Inclusion of forecast uncertainty can, instead, maximize the economical value of a forecast and satisfy the needs for a wider range of users. It is time to quantitatively communicate forecast uncertainty to weather, climate, water and any kind of environmental prediction. Training and education to forecasters, endusers and public is the key to the success of this revolutionary transition from a deterministic to a stochastic point of view about weather forecasting. 