text: changing the established tendencies. The stated methods can be used effectively for medium-term prognostication. T~e third group. heuristic methods. Is used usually ~or Investigating complclated and poorly studied problems. They can serve as one of the sources for building a model. The time depth of the prognoses depends not only on the terms of the plan. It depends also on the .subject of prognostication. There ought to be differences In the depth of prognostication between the scientific-research, experimental­ design and production prognoses. owing to the various time lags In the real lzatlon of these Investigations. For simp I lefty It Is possible to assume that the depth of the prognosis for scientific-research developments shal I be 10-20 years, for exper!mental-deslgn development- up to 10 years. and for serial production -up to 5 years. In other words. the depth of the progncsls should be greater or equal to the term of real lzatlon of or the other event. Only In this case shall we deal with the final results of prognostic Investigations. CONCLUSIONS It Is quite evident that prognostication of science and Its Individual directions should be performed with the participation of scientists; prognostication of the ·development of engineering with that of scientists and designers; and prognostication of production and of the scientific-technical base with that of scientists, designers and managers of production. The truth and value of the prognoses decrease greatly If specialists of these categories are not attracted to the elaboration of the prognoses. The current development of prognostication In the capital fst world Is associated ptlmarlly with the attempt of Individual companies to prognosticate the business situation In order to gain victory over a competitor. Effective prognostication of scientific-technical progress turned Into an essential element of management. Prognosis rs used to specify the future commodity, Its development and manufacture. According to the approximate 
analysis: The text appears to be discussing the importance of forecasting and predicting future outcomes in the fields of science, technology, engineering, and design. The author mentions specific applications of prognostication in various areas, including scientific research, experimental design, and production. The text also highlights the need for collaboration between scientists, designers, and managers to achieve accurate and valuable predictions.