The key to solve the problem of difference multiple is to find the difference between two numbers and the multiple corresponding to the difference between two numbers. Find the multiple of 1 first, and then find several multiples.

Common evaluation methods and techniques:

1, piecewise estimation method: divide the problem into smaller parts, and then estimate each part separately. Finally, these estimation results are combined to obtain an overall estimation result. This method can provide a relatively reasonable approximation in the case of complex problems or incomplete data.

2. Analogy estimation method: By comparing the problem with known or similar situations, similar parameters or indicators are used for estimation. For example, when estimating the market demand of new products, we can refer to the sales of existing similar products.

3. Simplified models and assumptions: In the evaluation process, simplified models and assumptions can be used to reduce complexity. These models and assumptions can be based on previous experience or general observations. However, it is necessary to pay attention to the limitations of models and assumptions and try to provide reasonable calibration.

4. Use statistics: Use available statistics as much as possible to support the estimation process. Statistical data can provide general rules or trends about similar situations and possible differences. Reasonable application and interpretation of statistical data can improve the accuracy of estimation.

5. Sensitivity analysis: Considering the uncertainty of estimation results, sensitivity analysis is an effective method. When estimating, you can adjust key parameters or change assumptions and observe the influence of these changes on the estimation results. This is helpful to evaluate the robustness and certainty of the estimation.

No matter what estimation methods and techniques are used, we should be cautious about the estimation results and realize that estimation can only provide approximate values. Determining the accuracy of data and detailed information is still the best way to get accurate results.

When evaluating, there are some other methods and techniques that can help you get more accurate evaluation results:

1. Expert opinion: consult experts or experienced people in related fields, whose professional knowledge and experience can provide valuable insights and estimation basis.

2. Reverse engineering: By observing the existing results or achievements, the original conditions or factors needed to produce these results are deduced. This method can help you understand the development process of the event and make a reasonable estimate.

3. Utilization ratio and percentage: Using the known ratio and percentage, compare the data with relevant indicators, so as to estimate. This can be applied to various situations, such as market share, growth rate or budget allocation.

4. Experiments and field surveys: conduct small-scale experiments or field surveys to obtain actual data and make estimates accordingly. This method is suitable for occasions that need more accurate actual data, such as market research or physical experiments.

5. Double estimation: Use different methods and techniques to make two or more different estimates, and compare and confirm the results. This is helpful to reduce the deviation in estimation and improve the reliability of estimation.

Use reliable data sources and information, and try to avoid estimation based on uncertain or unreliable data. Always be transparent and objective, clearly record the assumptions and limitations of estimation, and introduce an appropriate range and confidence level. Check and update the estimation results regularly, and make adjustments according to new information or data to improve accuracy and reliability.