Writing LabHow to Prompt a HumanHuman Responses Are State-Depend

3. Human Responses Are State-Dependent Outputs

人类的回应是状态依赖的输出

The second operational error is treating human responses as stable ground truth.

A human response is not a lookup. It is a sample. And the sample is taken from a system whose state is constantly shifting in ways you cannot fully observe.

Fatigue changes the sample. A human approving a batch of actions at 11:45 p.m. is working with reduced working memory, lower risk tolerance for novelty, and a strong bias toward ending the session. The "yes" they give you then is not the same cognitive event as the "yes" they would give you at 9:30 a.m. with fresh context.

Status pressure changes the sample. A human who believes their judgment is being evaluated will anchor toward what they think you expect, or toward what they think a more competent person would say, rather than what they actually believe. If your query implies a correct answer, you will frequently receive that answer.

Fear of irreversibility changes the sample. Humans systematically overweight immediate risk relative to long-run benefit. If your query frames an action as a loss to avoid, you will get more conservative responses than if you frame the same action as a gain to capture. The framing is not neutral.

Interruption context changes the sample. A human pulled away from an unrelated task will bring residue from that task into their response. They may be more distracted, more irritable, more likely to offload the decision back to you with a vague approval rather than engage carefully.

None of this makes the human response worthless. It makes it contextual. The implication is that you should not treat a single approval as a durable policy, especially for high-stakes or recurring decisions. The sample was taken under specific conditions. Those conditions will change.

The practical consequence: for important decisions, establish the preference when the human is fresh, not under deadline. Build confirmation into the workflow structure rather than extracting it from fatigued spot judgments. And treat "I'm not sure, just do whatever you think" as a signal that the query arrived at the wrong time — not a signal to proceed without genuine consent.

第二个操作性错误,是将人类的回应视为稳定的基准事实。

人类的回应不是查询操作,而是一次采样。这个样本,来自一个状态持续变动、你无法充分观测的系统。

疲劳会改变样本。晚上 11:45 审批一批操作的人,工作记忆已经衰退,对新事物的风险容忍度下降,有强烈的结束会话偏向。他在那一刻给的"同意",与他早上 9:30 精神充沛时给出的"同意",不是同一个认知事件。

地位压力会改变样本。认为自己判断正在被评估的人,会向他以为你期待的答案靠拢,而非表达真实想法。如果你的提问暗示了一个正确答案,你就会经常收到那个答案。

对不可逆性的恐惧会改变样本。人类系统性地高估即时风险、低估长期收益。如果你将某个行动呈现为需要规避的损失,得到的回应会比将同一行动呈现为可以把握的收益时更为保守。表述框架并非中立。

被打断的情境会改变样本。从另一项任务中被临时抽离的人,会把那项任务的残留情绪带入回应。他可能更容易分心、更容易烦躁,更倾向于用含糊的许可把决策推回给你。

这一切并不意味着人类的回应毫无价值,而是意味着它是情境性的。推论:不要将单次许可视为持久策略,尤其是高风险或反复出现的决策。

实际影响:对重要决策,在人类精力充沛时建立偏好,而非在截止期限压力下。将确认机制嵌入工作流程的结构,而非从疲惫的即时判断中临时提取。把"我不确定,你看着办吧"视为提问时机错误的信号——而非继续推进的许可。