By DENNIS KABAARA
At the end of the first month of 2017, our “post-truth” world looks increasingly uncertain.
A new war has emerged between “alternative facts” on the one
hand, and “big data” on the other. Think “fact checkers” vs “data
scientists”. Yet African leaders seem to prefer a “pre-truth” world.
“Pre-truth” world? This is the sort of place where
everything is “basic, simple and natural”. While “post-truth” appeals
to emotions, “pre-truth” prefers ignorance. So, politics is about the
elite interests of identity rather than the daily issues of the people.
Pre-truth is a place where data remains
undiscovered or ignored, scientific thinking is a luxury and technology
is all about hardware gimmicks. It rails against “poverty, ignorance
and disease” while clamouring for “sovereignty and independence”.
That’s the Kenya that wanted one of our own to lead the AU Commission.
Is this a harsh assessment? Let’s think about it.
We are heading into an election in which the incumbent claims success
in delivering to the people, which the opposition disputes.
Where the opposition accuses the incumbent of
excessive corruption, and the retort is “to what purpose was all the
money we are now using applied in the past?”
Nobody mentions that a big part of current
mega-spending is debt-fuelled, that is, it represents future taxes.
Nobody speaks to the notion of value for money. The election becomes
our ultimate “truth or dare” moment.
Kenya’s “pre-truth” world relies on three things.
First, short memories, especially when it comes to data. What is the
length of new roads that the Jubilee Administration has completed since
2013?
According to the 2016 Budget Policy Statement
(BPS), we are talking about 1,194 kilometres. Yet President Uhuru
Kenyatta’s 2016 State of the Nation address spoke to a total of 3,000km
roads in three years. A year earlier, the BPS claimed a total of
1,039km in new road build.
The 2016 Statistical Abstract produced by the Kenya National Bureau of Statistics (KNBS) only adds to the confusion.
A quick calculation shows that, between 2012 and
2015 Kenya added only 24 kilometres of new road to the national network.
This is broken down as the tarmacking (i.e. conversion) of 1,742km of
earth/gravel road, plus said 24km in new tarmac.
Think about this. The 2016 BPS states that almost
150,000km of road has been maintained in the past three years. The
Statistical Abstract informs us that our road network stretches to a
total of 60,000km.
What sort of road quality requires annual maintenance, if any?
But mostly, and back to the point, where is the truth?
Second, a “head in the sand” attitude. This week,
the Central Bank’s Monetary Policy Committee stated that it is too early
to draw conclusions on the effects of the Banking Amendment Act.
Yet a quick perusal of the business and financial press
headlines informs us of several short-term observations — slowed private
sector credit growth (blamed instead on the election), falling housing
demand, reduced credit access for individuals and SMEs on account of
risk, a flight to the quality of risk-free Treasury paper, even as
government borrowing continues to balloon upwards.
Even the IMF has chimed in, again, warning of the
growth-dampening effects of interest caps. Ah, but it’s still too early
to draw conclusions, right?
The third requirement for a pre-truth world is the
“tyranny of micro-numbers”. Let’s go back to infrastructure and look at
a few national projects the 2016 Energy and Infrastructure Sector
Report proclaims.
Completion of 822 housing units in Kibera, with 245
market stalls. Completion of 101 retail markets and wholesale hubs.
Construction of 153 new government buildings.
There’s more. Like registration of 611 new
government houses. Installation of 1,117 street lights. Nine district
headquarters completed under the 2009 Economic Stimulus Programme. 23
sub-standard buildings demolished. 37 footbridges constructed.
Because this is a serious newspaper, I have left out numbers relating to the construction of ablution blocks.
Is this apparently “national” stuff actually visible to the naked eye?
“Pre-truth” is not exclusively a Jubilee problem,
but a Kenyan one, at three levels. First, in its disdain for data.
Forget Big Data, which is largely unstructured.
We don’t seem to have got our heads around
structured small and large data, especially that related to
administrative reporting. Jubilee’s “digital” twist has been to spin
Bad Data.
This is ironic given our loud claims in 2015 to being a pioneering country in the “Data Revolution”.
The second challenge revolves around the “so what”
question. In other words, what does the data tell us about outcomes for
people?
Why are we measuring the length of roads built,
rather than the extent of usage? Let’s not forget the Kanu days, where
certain new roads in the Rift Valley were popularly used for “drying
maize.”
Monitoring and evaluation
When I think in the context of an issues-based 2017
election, I will compare competing manifestoes on their statements on
outcomes, particularly those relating to the Sustainable Development
Goals such as no poverty, zero hunger, good health and wellbeing,
quality education, gender equality, clean water and sanitation,
affordable and clean energy, decent work, reduced inequality and
responsible consumption and production.
Then I will look for the data — baselines and targets
— and thinking around monitoring and evaluation that is underpinned by a
spirit of public accountability.
The final challenge – really around the “head in the sand”
attitude is about “knowledge and information as power”. It’s “us vs
them” attitude typical of any government that dismisses “data generated
outside its four walls”.
This is probably the most difficult one to address.
It requires an acceptance of a wider data ecosystem of people,
institutions, sources, generators, analysts and users spanning business,
non-State actors, academia and researchers, media and a host of other
“data stakeholders”.
Indeed that is the core of the data revolution that Kenya needs.
Simply the one answer to the post-truth world and our pre-truth setting lies in a new respect for Good Data.
Without it, we shall be “the stagnation we don’t want to be”, rather than the “change we want to see”.
dkabaara@gmail.com
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