My review of Andre Gide’s “Straight is the Gate”

By Graham

Straight Is the GateStraight Is the Gate by André Gide
My rating: 4 of 5 stars

It so often happens that I read 19th Century fiction and marvel at how much better the writers of the day were at controlling the mechanics of their craft. Characters are richer, the vocabulary is wielded with greater ease and the plots flow with the confidence of certain conclusion. Is it the Great Filter of History in action? Or is it simply that our ancestors spent more time reading and writing than we do, therefore became better at it?

Whatever the reason, Andre Gide’s “Straight is the Gate”, a masterful novella, is further evidence that older is sometimes better. Even in translation, it easily surpasses most, if not all, of the digitally processed fast food that streams across the cyberbookshops of the digital age. And as is often the case, it does so without the aid of gimmickry: no bodies on page two, and a simplicity of narrative style (first person, referencing the letters of a second person) at which most modern writers would balk – I am including myself here.

The story is nonetheless interesting, in the very complexity of its eventlessness. A young couple, in love, yet unable to come together as a result of twisted piety and self-imposed restraint; one which belies a deeper psychological illness. I have often reflected how the current state of COVID-hysteria has a religious dimension to it, and in reading ‘Straight is the Gate’, I found eerie parallels. The female protagonist, Alissa, uses her religion as a cloak for her mental illness, in the same way our mentally ill society is using COVID as an excuse to collapse into itself.

Great novels may yet be written about our time, which explore a similar theme – how COVID is being used by the mask-wearing masses to shield themselves against the emotional void created by this godless, consumerist society in which they feel so lost. I just hope that, buried in the ashheap of digital junkies, there are enough real writers out there with the craft to do such a theme justice.

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As with birth rates, we use data for 4 categories of countries from 1990 to 2015 (100 observations total). We have two explanatory variables, AGE and Y, where AGE is defined as the percentage of the population aged over 65 and Y is per capita GDP.

After eyeballing the scattergrams, we test the following functional form:

d = (minY^a)/Y^a * (1/AGE^g)

Where minY is the constant equal to the smallest value of Y in the series.

Logarithmic transformation gives:

ln(d) = ln(minY^a) – a*ln(Y) – g*ln(AGE)

which we test on the data using OLS. Here are the results:

Adjusted R square: 75.191

Intercept coefficient: 7.37384
t-Stat: 20.4011

Y coefficient: -1.01444
t-Stat: -13.1059

AGE coefficient: 2.0097
t-Stat: 11.5208

The estimated intercept is a good, but not perfect, approximation of ln(minY^a)

Here are the fitted against actual values of the scattergram for death rate against per capita GDP:


While the results are not as good as with the birth rates calculations, it is nevertheless a good enough fit and the explanatory variables have a strong enough confidence factor to be usable in our estimations.


We begin by examining the scatter of data for 100 observations of per capita GDP and per capita emissions for 4 categories of countries, over 25 years (1990 – 2015).

The scatter suggests a cubic functional form, so we test:

GHG = a + b*Y + c*Y^2 + d*Y^3

where GHG are per capita emissions of GHG, and Y is per capita GDP.

The results from OLS regression are:

Adjusted R square: 0.980438073

coefficient a: 1090
t-stat a: 3.06

coefficient b: 0.709310153
t-Stat b: 8.241453

coefficient c: -0.0000047025
t-Stat c: -1.01233

coefficient d: -0.000000000105314
t-Stat d: -1.47005

While the t-scores on the squared and cubed terms are low, the number of observations are also limited.

Here is the plot of the fitted against actual values: