润涛阎：韩寒“代笔”的直接证据

susie77

分析很在理。

武夫的眉笔

支持打到底，水落石出

love_3_month

最后那个字迹分析有点意思，不过需要专业人士来鉴定。

其他的网上都有相对应的驳斥了。

_Alex_

"用数理统计的方法计算出二者（韩寒与代笔）字体倾斜的差异极显著（<0.01）。"

这里用的是The Student-t Test for Two Samples吗？是不是需要符合这些assumption?
    Each of the two populations being compared should follow a normal distribution. This can be tested using a normality test, such as the Shapiro-Wilk or Kolmogorov–Smirnov test, or it can be assessed graphically using a normal quantile plot.

    If using Student's original definition of the t-test, the two populations being compared should have the same variance (testable using F test, Levene's test, Bartlett's test, or the Brown–Forsythe test; or assessable graphically using a Q-Q plot). If the sample sizes in the two groups being compared are equal, Student's original t-test is highly robust to the presence of unequal variances.[7] Welch's t-test is insensitive to equality of the variances regardless of whether the sample sizes are similar.
    The data used to carry out the test should be sampled independently from the two populations being compared. This is in general not testable from the data, but if the data are known to be dependently sampled (i.e. if they were sampled in clusters), then the classical t-tests discussed here may give misleading results.