Standard percentile range

The SPR is a statistical technology developed by Perezgonzalez as a measure of dispersion which may be fitter and more informative than the IQR. It does so by mimicking the standard deviation in two accounts:

it measures dispersion on one side of the median (like the standard deviation, and unlike the IQR)
the lower and upper bounds of the SPR are the percentiles 16 and 84, respectively, thus covering 68% of the distribution (approximately similar to the standard deviation, and unlike the IQR, which only covers 50% of the distribution).

The SPR is, thus, half the IPR, approximates the standard deviation when the distribution is normal, and is a measure of dispersion that can be compared against the standard deviation much better than the IQR or the SQR.

But does the SPR stands to scrutiny? Does it work as expected?

IPR/SPR as a measure of dispersion & skewness

Potato chips
BNI	N.P.	Ranked P.	US	N.P.	Ranked P.
CT	Md=82.65	M,Md=82.65	CT	Md=70.61	M,Md=70.61
[ SD	---	18.33 ]	[ SD	---	18.33 ]
+SD	---	80.00 (P₂₀)	+SD	---	68.95 (P₂₀)
-SD	---	94.29 (P₇₉)	-SD	---	96.03 (P₇₉)
IQR P₂₅	80.07	80.07	IQR P₂₅	69.08	69.08
IQR P₇₅	92.60	92.60	IQR P₇₅	77.14	77.14
IPR P₁₆	79.58	79.58	IPR P₁₆	68.09	68.09
IPR P₈₄	98.35	98.35	IPR P₈₄	82.75	82.75
Skew (IQR)	z=3.39	RS=3.69	Skew (IQR)	z=2.62	RS=2.50
Skew (SQR)	z=3.39	RS=6.39	Skew (SQR)	z=2.62	RS=5.08