"There is no substitute for knowledge." This statement emphasizes the need to know more, about everything in the system. It is considered as a contrast to the old statement, "There is no substitute for hard work" by Thomas Alva Edison (1847–1931). Instead, a small amount of knowledge could save many hours of hard work.
"The most important things cannot be measured." The issues that are most important, long term, cannot be measured in advance. However, they might be among the factors that an organization is measuring, just not understood as most important at the time.
"The most important things are unknown or unknowable." The factors that have the greatest impact, long term, can be quite surprising. Analogous to an earthquake that disrupts service, other "earth-shattering" events that most affect an organization will be unknown or unknowable, in advance. Other examples of important things would be: a drastic change in technology, or new investment capital.
"Experience by itself teaches nothing." This statement emphasizes the need to interpret and apply information against a theory or framework of concepts that is the basis for knowledge about a system. It is considered as a contrast to the old statement, "Experience is the best teacher" (Dr. Deming disagreed with that). To Dr. Deming, knowledge is best taught by a master who explains the overall system through which experience is judged; experience, without understanding the underlying system, is just raw data that can be misinterpreted against a flawed theory of reality. Deming's view of experience is related to Shewhart's concept, "Data has no meaning apart from its context" (see Walter A. Shewhart, "Later Work").
"By what method?... Only the method counts." When information is obtained, or data is measured, the method, or process used to gather information, greatly affects the results. For example, the "Hawthorne effect" showed that people just asking frequently for opinions seemed to affect the resulting outcome, since some people felt better just being asked for their opinion. Dr. Deming warned that basing judgments on customer complaints alone ignored the general population of other opinions, which should be judged together, such as in a statistical sample of the whole, not just isolated complaints: survey the entire group about their likes and dislikes. The extreme complaints might not represent the attitudes of the whole group. Similarly, measuring or counting data depends on the instrument or method used.
"You can expect what you inspect." Dr. Deming emphasized the importance of measuring and testing to predict typical results. If a phase consists of inputs + process + outputs, all 3 are inspected to some extent. Problems with inputs are a major source of trouble, but the process using those inputs can also have problems. By inspecting the inputs and the process more, the outputs can be better predicted, and inspected less. Rather than use mass inspection of every output product, the output can be statistically sampled in a cause-effect relationship through the process.
"Special Causes and Common Causes": Dr. Deming considered anomalies in quality to be variations outside the control limits of a process. Such variations could be attributed to one-time events called "special causes" or to repeated events called "common causes" that hinder quality.
Acceptable Defects: Rather than waste efforts on zero-defect goals, Dr. Deming stressed the importance of establishing a level of variation, or anomalies, acceptable to the recipient (or customer) in the next phase of a process. Often, some defects are quite acceptable, and efforts to remove all defects would be an excessive waste of time and money.
The Deming Cycle (or Shewhart Cycle): As a repetitive process to determine the next action, the Deming Cycle describes a simple method to test information before making a major decision. The 4 steps in the Deming Cycle are: Plan-Do-Check-Act (PDCA), also known as Plan-Do-Study-Act or PDSA. Dr. Deming called the cycle the Shewhart Cycle, after Walter A. Shewhart. The cycle can be used in various ways, such as running an experiment: PLAN (design) the experiment; DO the experiment by performing the steps; CHECK the results by testing information; and ACT on the decisions based on those results.
Semi-Automated, not Fully Automated: Dr. Deming lamented the problem of automation gone awry ("robots painting robots"): instead, he advocated human-assisted semi-automation, which allows people to change the semi-automated or computer-assisted processes, based on new knowledge. Compare to Japanese term 'jidoka' (which can be loosely translated as "automation with a human touch").
"The problem is at the top; management is the problem." Dr. Deming emphasized that the top-level management had to change to produce significant differences, in a long-term, continuous manner. As a consultant, Deming would offer advice to top-level managers, if asked repeatedly, in a continuous manner.
"What is a system? A system is a network of interdependent components that work together to try to accomplish the aim of the system. A system must have an aim. Without an aim, there is no system. The aim of the system must be clear to everyone in the system. The aim must include plans for the future. The aim is a value judgment. (We are of course talking here about a man-made system.)"
"A system must be managed. It will not manage itself. Left to themselves in the Western world, components become selfish, competitive. We can not afford the destructive effect of competition."
"To successfully respond to the myriad of changes that shake the world, transformation into a new style of management is required. The route to take is what I call profound knowledge—knowledge for leadership of transformation."
"The worker is not the problem. The problem is at the top! Management!" Management’s job. It is management’s job to direct the efforts of all components toward the aim of the system. The first step is clarification: everyone in the organization must understand the aim of the system, and how to direct his efforts toward it. Everyone must understand the damage and loss to the whole organization from a team that seeks to become a selfish, independent, profit centre."
"They realized that the gains that you get by statistical methods are gains that you get without new machinery, without new people. Anybody can produce quality if he lowers his production rate. That is not what I am talking about. Statistical thinking and statistical methods are to Japanese production workers, foremen, and all the way through the company, a second language. In statistical control, you have a reproducible product hour after hour, day after day. And see how comforting that is to management, they now know what they can produce, they know what their costs are going to be."
"I think that people here expect miracles. American management thinks that they can just copy from Japan—but they don't know what to copy!"