Table 6.0
Carbohydrate (Sugar) Profile Percentages:
Milks vs. Fruit Blends
Units: % of total available carbohydrates in profile,
for each food item.
Carbohydrate |
Human |
Goat Milk |
4 Sweet |
3 Sweet |
Lactose |
100.00 |
100.00 |
0.00 |
0.00 |
Glucose |
0.00 |
0.00 |
17.73 |
19.18 |
Fructose |
0.00 |
0.00 |
36.71 |
31.46 |
Sucrose |
0.00 |
0.00 |
42.82 |
49.40 |
Starch |
0.00 |
0.00 |
1.48 |
0.00 |
(Column totals don't necessarily add to 100%, due to
exclusion of minor carbohydrates.)
RATIOS |
||||
Percentage |
100.00 |
60.00 |
144.36 |
121.79 |
Table 7.0
Fatty Acid Profile Percentages:
Milks vs. Fruit Blends
Units: % of total fatty acids in profile,
for each food item.
Fatty Acid |
Human |
Goat Milk |
4 Sweet |
3 Sweet |
Capric Acid |
1.60 |
8.09 |
0.00 |
0.00 |
Lauric Acid |
5.61 |
3.35 |
1.08 |
0.02 |
Myristic Acid |
9.01 |
10.60 |
3.12 |
0.12 |
Palmitic Acid |
25.38 |
32.94 |
24.55 |
16.68 |
Stearic Acid |
7.72 |
10.32 |
5.49 |
0.28 |
Arachidic Acid |
1.21 |
0.27 |
0.79 |
0.00 |
Palmitoleic Acid |
3.40 |
1.11 |
9.60 |
4.42 |
Oleic Acid |
35.32 |
19.82 |
14.55 |
63.73 |
Linoleic Acid |
10.01 |
2.51 |
23.26 |
12.41 |
Linolenic Acid |
0.57 |
0.55 |
16.07 |
2.29 |
Arachidonic Acid |
0.11 |
0.00 |
0.00 |
0.03 |
Other |
0.00 |
10.38 |
1.43 |
0.02 |
(Column totals = 100%; minor deviations possible due to roundoff error.)
RATIOS |
||||
Percentage |
100.00 |
94.43 |
7.41 |
62.60 |
What we are presented with in the form of Tables 5.0, 6.0, and 7.0 above is a list of numbers for human milk, goat milk, and two fruit blends. Which of the other lists is "closest" to the one for human milk? One approach to this question is to use a simple statistical technique: ordinary least squares, or linear regression, to compare the data.
Recall that we are interested in the fruitarian claim that "fruit is like mother's milk." An easy way to test this, in the context of the amino acid and fatty acid profiles, is to fit a series of simple linear models (straight lines) where the dependent variable is the amino/
The results of these model fits are given below. The merit of the results, or the model fit, can be evaluated via the F and R-square statistics below. The F-statistic compares the sums of squares ("variability" in crude terms) for the regression model (fit) versus the sums of squares for the error term in the model. It provides one assessment of the goodness of fit of the models. The degrees of freedom for the F-statistic reflects the number of independent pieces of information involving the dependent variable used in its computation: The numerator is for the sum of squares of the regression equation, and the denominator for the sum of squares of the error term in the model. The
The R-square statistic measures the amount of the variability in the data that is explained by the linear model. It varies from 0 to 1. There are no hard rules regarding which values of R-square are acceptable, and which are not, though there is general agreement that values close to 1 are "good," and values that are "low" are "bad." Here, I will use a conservative approach, and consider values of R-square of 0.9 or higher to be acceptable, and a good fit, while values much below 0.9 are considered to be a poor model fit and/or unacceptable (i.e., "not a good fit").
To be precise, we can consider the model fit as good/
Table 8.0 Note: F-statistic has (1/16) degrees of freedom
F Value
Prob > F
R-square
Model 257.821
0.0001
0.9416
18.785
0.0005
0.5400
27.667
0.0001
0.6336
Table 9.0 Note: F-statistic has (1/9) degrees of freedom
F Value
Prob > F
R-square
Model 19.74
0.0016
0.6868
4.25
0.0693
0.3208
34.77
0.0002
0.7944
Side note: The question of interpreting the significance of regressions is discussed in
The paragraph below is from the article,
"Uncommon Uses of Avocado," by Yasseen Mohamed-Yasseen, Ph.D., University of Florida TREC [Tropical Research and Education Center, Homestead, Florida], appearing in: Tropical Fruit News, 28(1), Jan. 1994,
Comments on Mohamed-Yasseen:
The suggestion by Mohamed-Yasseen that diabetics should consume avocados cautiously because they may suppress insulin production raises questions for fruitarians as well. First, given that most fruitarian diets are high in sugar from sweet fruit, one should be cautious about introducing a food that inhibits insulin production.
Second, those whose diet includes large amounts of sweet foods, particularly fruit, often experience, on an ongoing (chronic) basis, the symptoms of diabetes: excess urination, thirst, sugar highs/
Third, avocados are the prime fat source (and calorie source) for many fruitarians. Despite the "party line" that they should be eaten in small amounts, many rawists eat the equivalent of 1.5-2 or more large avocados per day. (Despite the contrary claims of a few extremists, fat is an essential nutrient. The body knows this even if the ego does not, hence the "cravings"--
Further, Otaga
From the above analysis, we see that:
The standard fruitarian "party line" regarding the bogus fruit = milk theory is that it applies to sweet fruit only. That is, avocados are not included in the theory. Further, the "party line" is that avocados are a concentrated food, to be eaten sparingly. (In reality, they are a staple food for many rawists, including fruitarians.)
Avocados were included in the analysis here because as soon as you debunk one theory, the promoters of crank science theories are usually quick to make new, unfounded claims. That is, debunk the milk = sweet fruit theory, and it becomes a new "sweet fruit + avocado" theory. Including avocados in the analysis here prevents that from happening.
Also, the analysis of avocados given here uses basically one particular analysis of avocado: in effect, one data set. The nutritional composition of avocados varies substantially,
Finally, fruitarians may try to exploit the result shown above which indicates that the fatty acid profile for
Otaga, J.N., Y. Kawano, A. Bevenue, J.L. Casaret (1972) "The ketoheptose content of some tropical fruits."
Simon, E. and P.F. Kracier. (1996) "The blockade of insulin secretion by mannaheptulose."
Slater G.G.; Shankman S.; Shepherd J.S.; Alfin-Slater R.B. (1975) "Seasonal Variation in the Composition of California Avocados."
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See Table of Contents for Section II - Making Sense of the Numbers
See Table of Contents for Section III - Challenging Fruitarian Defenses of the Theory
Back to Waking Up from the Fruitarian Dreamtime
Otherwise the fit is poor or unacceptable.
--AND--
Amino Acid Profiles:
Human Milk Fitted as a Function of Profile(X)
Model
Evaluation
Goat Milk
Very good fit/
explanation.
4 Sweet Fruits
Not a good fit.
3 Sweet + Avo
Not a good fit/
poor fit.
Fatty Acid Profiles:
Human Milk Fitted as a Function of Profile(X)
Model
Evaluation
Goat Milk
Poor fit/not a good fit.
4 Sweet Fruits
Not a good fit.
3 Sweet + Avo
Poor fit/not a good fit.
Combining Sweet Fruit and Avocados: A Good Idea?Avocados are the richest known natural source of the seven-carbon sugar D-manno-heptulose [Simon and Kracier 1996; Otaga
Note: References contained within the above paragraph are listed at the end of this section.
Goat Milk is "Closer" to Human Milk in Composition than the
So, because goat milk is closer to human milk than the sweet fruit blend in all categories, and the "sweet + avocado" blend in all but one category, it follows that, in general, the goat milk profile is closer to the human milk profile than either of the fruit blends.
A Postscript on the Sweet + Avocado
For example, one analysis lists only a trace of linolenic acid, an EFA, in avocados. Other papers show 10-180 mg.--
(Discussion: Probing Fruitarian Defenses of the "Fruit is Like Mother's Milk" Theory)
See Table of Contents for Section I - Nutritional Comparison Tables
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