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“We Have Nothing to Eat”: Further Reflections on the Famine in Turkana and the Government’s Food Security Policies

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Famine in Turkana and other Kenyan counties may not have yet caught the attention of the international media, but domestic dissatisfaction with the famine response may force the government to alter its food security policies. The more likely scenario, however, is that this government will, like most Kenyans, pray for the rains, and hope that the food crisis will go away all on its own.

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“We Have Nothing to Eat”: Further Reflections on the Famine in Turkana and the Government’s Food Security Policies
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Images in the Kenyan media of starving people in Turkana County have left many rich and middle class urban Kenyans as shocked as they were in 2011 when a declaration of famine prompted individuals and corporates such as Safaricom and the Kenya Commercial Bank to raise a whopping Sh700 million ($7 million) towards the famine relief effort in Kenya’s arid and semi-arid northern territories. Led by media and corporate celebrities, the Kenyans for Kenya campaign was touted as a sterling example of Kenyans’ self-help (harambee) spirit that did not rely on foreign aid to fix internal problems. (How the funds raised were used, and whether they were successful in averting future famines is debateable, and perhaps the subject of further investigation.)

Images in the Kenyan media of starving people in Turkana County have left many rich and middle class urban Kenyans as shocked as they were in 2011 when a declaration of famine prompted individuals and corporates such as Safaricom and the Kenya Commercial Bank to raise a whopping Sh700 million ($7 million) towards the famine relief effort in Kenya’s arid and semi-arid northern territories.

However, unlike in 2011, there has been no outpouring of largesse from ordinary Kenyans towards the relief effort. Moreover, government officials have been reluctant to declare a disaster, with politicians citing various reasons for the deaths reported in Turkana, ranging from sickness to climate change. When deaths were reported in Baringo County, the deputy president said they were “fake news”. Meanwhile, the head of state has not said a word about the looming catastrophe.

The recognition by some government officials that hundreds of thousands of people in the country might not have enough food has laid bare the gross inequalities that have defined the Kenyan state since independence – devolution notwithstanding – and has brought to the fore the fact that Kenya is still a deeply divided country economically and socially, a fact that Jubilee mandarins are reluctant to acknowledge

The current famine in Turkana and in several other Kenyan counties is perplexing at various levels. Firstly, it is happening at a time when the Jubilee government is congratulating itself for taking Kenya into the digital 21st century and for carrying out a very expensive Sh400 billion ($4 billion) Big Four agenda that includes improving food security.

Secondly, the recognition by some government officials that hundreds of thousands of people in the country might not have enough food has laid bare the gross inequalities that have defined the Kenyan state since independence – devolution notwithstanding – and has brought to the fore the fact that Kenya is still a deeply divided country economically and socially, a fact that Jubilee mandarins are reluctant to acknowledge. It is not lost on many people that while granaries in some parts of the country are overflowing with maize, other parts have no food to eat.

The famine has underscored the fact that there are many parts of this country where people are eking out a hand-to-mouth existence in regions where lack of infrastructure and basic services have exiled communities that are difficult to reach during a crisis

Thirdly, the famine has become evidence of yet another embarrassing scorecard of failed national and county government projects, including non-performing irrigation schemes, non-existent dams and gross neglect of the agriculture sector – all the result of theft or mismanagement of project funds.

Fourthly, the famine has underscored the fact that there are many parts of this country where people are eking out a hand-to-mouth existence in regions where lack of infrastructure and basic services have exiled communities that are difficult to reach during a crisis. After all, droughts do not automatically lead to famine; the recent droughts in the west coast of the United States, for example, did not result in people dying due to hunger. Famine usually means that people cannot afford to buy food, that the food they rely on for sustenance is not available or that the food cannot adequately reach the starving.

The government’s ambivalence towards the food insecurity situation is understandable. Declaring a famine is no easy choice for a government. It is deeply embarrassing for any government to announce a famine because it is an acknowledgement that the government has failed to make the country food secure. Essentially it says that the government not only failed to prevent the famine, but also did not prepare for it, suggesting a lack of leadership in disaster preparedness. Secondly, a declaration of famine in a poor country usually unleashes an international famine relief effort – and no self-respecting government would like to admit that foreign donors and NGOs should do what it should be doing, i.e. making sure that all its citizens have enough food to eat.

Misguided policies and poor governance

I do not know much about Turkana, having never visited the area. To me, it has always seemed like a remote part of the country that is difficult to access. Stories of three-day trips on very bad roads and scary rides to Lodwar on very tiny planes put me off visiting a place that has attracted more humanitarian workers and NGOs than government officials, thanks to the Kakuma refugee camp bordering strife-torn southern Sudan and the Lokichoggio Airport (popularly known as “Loki” among the international NGO and foreign correspondent set) that served as a logistics hub for organisations that used to support rebel movements in Sudan.

The fact that Turkana County attracted the second largest share of devolved funds (after Nairobi) in 2015/2016 has not increased its fortunes. The discovery of oil in the region and images of a stunningly beautiful Lake Turkana have also not made the region more attractive to the vast majority of Kenyans. For people like me, Turkana will for a long time remain the Great Unknown – like north-eastern Kenya and other parts of the country that have remained so marginalised that most Kenyans see the pastoralist people and communities living there as aliens. Our outpouring of sympathy during famines in Turkana is akin to the compassion a Londoner might feel for the emaciated African child he sees in TV commercials by organisations such as Save the Children – shock followed by a small donation. It is embarrassing to think that others might be starving while we gorge ourselves on Kentucky Fried Chicken and pizzas. Forget the fact that most famines are man-made and the result of bad politics and poor governance, not food scarcity.

Alex de Waal, author of Famine Crimes: Politics and the Disaster Relief Industry in Africa, shows that in every known case of famine across the world, a breakdown of democratic institutions and lack of freedoms – particularly the right to criticise, publish and vote – have been key reasons for large-scale deaths during a famine.

Deliberate government neglect of a region, censorship of the press and misguided policies have also exacerbated food crises. The 1958 famine in China, for instance, was the direct result of Chairman Mao’s “Great Leap Forward” that resulted in the collectivisation of agriculture. The large death toll during the 1943 famine in Bengal, India, was the direct result of the British colonial government’s reluctance to take responsibility for famine relief in its most prized colony. The recurrent famines in Somalia can also be attributed to the breakdown of governance structures and the collapse of farming communities, many of which were massacred or forcibly removed by militias during the country’s civil war.

Countries that successfully deal with a potential famine or food security crises often do so to avert a political crisis. The rising cost of food and other commodities has been the reason for protests in many countries (including in Sudan recently) and many governments respond quickly to the mounting crises in case they lead to full-blown rebellion. Keeping the cost of food low to keep citizens happy is also the reason why European countries and the United States heavily subsidise their farmers.

De Waal shows how in 1985, when the Kenyan government was facing a huge national food deficit, President Daniel arap Moi made a decision to import food commercially, reversing a 1983 policy, and thereby averting a food crisis. Although foreign donors were contributing to the relief effort, Moi took no chances; he knew that a food crisis could provoke dissent against his repressive regime, and he was not willing to risk that happening. Food insecurity is often an indicator of poor governance and can often lead to riots and political unrest. Keeping citizens fed is, after all, a primary responsibility of governments; those that fail to do so risk being overthrown, a fact that Moi was acutely aware of.

Moi then turned the crisis into an opportunity by installing a network of political patronage linked to food supply and distribution. The National Cereals and Produce Board (NCPD) became highly politicised and was used to break the power of farmers’ associations and cooperatives, especially in opposition strongholds.

“Senior government officials benefitted both politically and commercially from the monopolistic position of the NCPD,” says de Waal. Cartels in the NCPD and lack of adequate distribution networks made food distribution and supply more politicised. When people died in a famine, the government attributed it to the “backwardness” of local communities, not to the fact that food distribution had become a goody that depended on the whims of Moi’s lackeys on the board.

Moi also used the food shortage crisis as an excuse to postpone critical reforms in the agriculture sector. In his paper, “Markets, Civil Society and Democracy in Kenya”, published in 1992 by the Nordic Africa Institute, Peter Gibbon explains how Moi’s system of ethnicised politics and political patronage worked (and, sadly, continues to work to this day):

“The grain crises…were used as an excuse for appointing a large number of inefficient cooperatives in Luyha areas as agents for the NCPD to the benefit of certain Luhya populist politicians. It was also used to break the power of the Kenyan Farmers’ Association, the main base of the politicians in the Rift Valley independent of Moi. It was thirdly used to consolidate the bases of Moi’s ‘home area’ allies in Nandi by tripling the number of NCPD employees there and increasing farmgate prices to uneconomic levels. Finally, the cost of this predation was transferred to the coffee and dairy farmers in Kikuyu areas, who were forced to transfer the savings accounts of their cooperatives to the Cooperative Bank, which had run up large losses in covering the NCPD’s grain purchases.”

The Mwai Kibaki government that succeeded Moi’s did try to reverse the damage Moi had inflicted on the agriculture sector, but the sector has still not fully recovered from short-sighted policies that sacrificed productivity at the altar of loyalty to the government in power.

To their credit, all Kenyan governments have tried to avoid going the international food aid route to address food insecurity.

The internationalisation of famine relief

To their credit, all Kenyan governments have tried to avoid going the international food aid route to address food insecurity. Though foreign aid is welcomed, the country has generally been reluctant to be part of massive international campaigns that have accompanied famine in places like Ethiopia and Somalia – perhaps because Kenya likes to view itself as the economic powerhouse of the region, not a basket case dependent on foreign aid.

This is a good policy because when international humanitarian agencies come in to provide food to starving people, bad governments are let off the hook, and are allowed to continue with their bad policies that can lead to more famines in the future. “Internationalising” the responsibility of food security to UN institutions, international NGOs and foreign governments makes practically everyone across the globe a stakeholder in famine relief.

“The process of internationalisation is the key to the appropriation of power by international institutions and the retreat from domestic accountability in famine-vulnerable countries,” says de Waal. He says that reliance on international humanitarian organisations has led to the “internationalisation” of famine relief. Governments of poor countries are thus no longer solely responsible for the food security of their citizens; this task has been appropriated by what he calls the “disaster industry” or “humanitarianism international”.

The appropriation of what should ideally be a government’s key responsibility makes governments of aid-receiving countries less accountable to their own citizens. Moreover, when a famine strikes and large numbers of people die, governments can easily blame the lack of foreign aid for the deaths, not poor governance on their part or their failure to put in place systems and programmes that could have prevented the famine in the first place.

Officials of international and local NGOs and UN agencies, like their government counterparts, are also not immune to corruption. “Somebody always gets rich off a famine,” Michael Maren, a former food aid monitor in Somalia, told Might Magazine in 1997. When he was in charge of monitoring food aid donated by the US government to refugees fleeing the Ogaden war of 1977/78, he found that about two-thirds of the food went missing. Trucks would arrive at the Mogadishu port, collect the food and disappear, never to be found again. Even when food arrived at the refugee camps, much of it would be stolen. (Given the track record of Jubilee government officials, it is likely that some of the food donated by the government to Turkana’s starving will also disappear.)

Food aid thus becomes a profitable source of income for criminal elements. Maren believes that international aid not only sustained Siad Barre’s dictatorial regime but also facilitated the dismantling of Somali society. In his book, The Road to Hell: The Ravaging Effects of Foreign Aid and International Charity, he quotes a former civil servant working for Somalia’s National Refugee Commission who told him that traditionally Somalis never relied on food aid, even during droughts. There was a credit system: the nomads would come to urban areas and take loans that they would pay back when times were good. Nomads and agriculturalists also shared natural resources. Aid essentially destroyed a centuries-old system that built resilience and sustained communities during periods of hardship. The former civil servant blamed foreign aid for the distortions in Somali society, not the Somalis who responded to the distortions.

Moreover, the international response to famine is more often than not technical, rather than political, with a whole range of experts, from nutritionists to statisticians, brought in to assess the scale of the famine and to offer solutions. Yet, recurrent famines often require a long-term political solution, which is much harder to achieve.

As de Waal emphasises, famine is both a technical and political challenge. Effective prevention and relief measures require a long-term vision, sound planning (based on sound data and research) and good management devoid of corruption, all of which are key elements of good economic policies, which are sorely lacking in the current Kenyan government.

Famine in Turkana and other Kenyan counties may not have yet caught the attention of the international media, but domestic dissatisfaction with the famine response may force the government to alter its food security policies. The more likely scenario, however, is that this government will, like most Kenyans, pray for the rains, and hope that the food crisis will go away all on its own.

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Rasna Warah is a Kenyan writer and journalist. In a previous incarnation, she was an editor at the United Nations Human Settlements Programme (UN-Habitat). She has published two books on Somalia – War Crimes (2014) and Mogadishu Then and Now (2012) – and is the author UNsilenced (2016), and Triple Heritage (1998).

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Elite Power-Sharing: How Presidential Candidates Buy-off Disgruntled Leaders and Maintain Their Coalitions

There is clearly a pressing need to improve the nomination procedures to EALA so that they become transparent, such that those who are nominated understand the key issues facing the region and are accountable to its citizens.

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Elite Power-Sharing: How Presidential Candidates Buy-off Disgruntled Leaders and Maintain Their Coalitions
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As the August 9 general elections draw ever closer in Kenya, the month of April saw political party “nominations”, when the respective parties and coalitions select their candidates for a range of different positions including Member of Parliament and Governor. The political parties had a deadline of 2 April to conclude the process and submit the names of successful candidates to the Independent Electoral and Boundaries Commission (IEBC) for approval. Although the 2022 nominations appears to have been a small improvement on the 2017 experience, with less violence and chaos, they did little to strengthen Kenyan democracy.

In most cases the parties behind former opposition leader turned establishment candidate Raila Odinga – the Jubilee Party and the Orange Democratic Movement – did not hold elected primaries at all, and instead used “direct nominations”, much to the chagrin of those who were overlooked. The parties behind Odinga’s main rival, Deputy President William Ruto, held more primaries, but here too there were many controversies and numerous disgruntled “losers”. As a result, both Ruto and Odinga faced a major challenge: how to prevent losing candidates from defecting and running as independents.

This is a particularly dangerous prospect in the context of a close elections, because a popular independent can divide the vote, enabling a rival party to secure an unexpected victory. In response, coalition leaders spend the post-nominations period frantically calling those who feel they have been cheated to offer then a range of rewards to stay loyal, including the promise of future tenders; appointment to cabinet positions; appointment to various state commissions; nomination to legislative bodies; appointment to ambassadorial roles oversees; and, good old fashioned cash.

It is common knowledge that the nomination of candidates for some state jobs is heavily influenced by coalition realities rather than the ability and qualifications of the individuals concerned. It is disturbing that this trend is also extending to regional institutions, however. Party leaders are now using the promise of slots as representatives in the East African Legislative Assembly (EALA) to buy-off disgruntled leaders. A case in point is Ruto’s promise to give Charles Kanyi (Jaguar) a slot in the East African Legislative Assembly (EALA) if he quit the Member of Parliament race for Starehe Constituency in favour of Simon Mbugua. It is a powerful demonstration of how this particular political cycle works that Mbugua had himself been nominated to the EALA in 2017, after he was persuaded by the Jubilee Party leadership to step down in favour of Yusuf Hassan in the Kamukunji primaries.

Such bargains are the lifeblood of Kenyan electoral politics, but undermine accountability and embed deal making – and hence potentially corrupt practices – at the heart of the not only the Kenyan state, but also regional governance.

How EALA was turned into an “employment bureau”

The East African Legislative Assembly is an independent arm of the Community that is supposed to advance the interests of the East African Community bloc as well as provide oversight. The membership of EALA currently stands at 62, with nine elected members from each of the six East Africa Community (EAC) partners states: Kenya, Uganda, Rwanda, South Sudan and Burundi and eight ex-officio members. However, political parties have been blamed for nominating politicians who lose in nominations, or their own relatives, to the regional body. For Instance, Kennedy Musyoka, who was nominated to EALA in 2017 is the son of Wiper party leader Kalonzo Musyoka.

This is not only happening in Kenya. A similar scenario is playing out in Uganda where political parties are also rewarding rejects to EALA. In 2017, the candidates presented for nomination to EALA were mostly those that had lost after vying to be a candidate for the ruling National Resistance Movement (NRM) in the parliamentary elections. Revelations about this practice triggered criticism in Uganda, which in turn prompted President Yoweri Museveni to declare that EALA was not an “employment bureau” for political job seekers. Despite being president – and hence the person with the greatest power to decide how his party operates and who is sent to the EALA – Museveni sought to displace blame, stating that. “This election is just an election; elections are not employment bureaus that you are here to give jobs to jobless people but people who will support the integration process”.

The problem facing Museveni is that even if he wants to end the practice of using such nominations as patronage, he may not be able to. Facing a growing challenge from Bobi Wine, and recognizing the threat that the NRM may start to fragment during the succession struggle to replace him – should he ever stand down – Museveni knows full well that buying off disappointed candidates is critical to his regime’s survival.

More broadly, the practice of playing politics with nominations to legislative organs such as EALA is problematic because it sacrifices regional interests at the expense of the personal desires of politicians, many of whom were overlooked for good reason. As one of Africa’s fastest growing regions in desperate need of a more unified and effective approach to issues such as infrastructure and food security, this is a major shortcoming that needs to be urgently addressed.

The road back to effective leadership and administration

There is clearly a pressing need to improve the nomination procedures to EALA so that they become transparent, such those who are nominated understand the key issues facing the region and are accountable to its citizens. The process of nomination is supposed to include tough legislative vetting, with hearings to interview potential candidates, and a strong set of minimum requirements established. Some of this is already in place in Uganda, where nominees are required to appear before parliament to campaign for their bids, but could be further strengthened to enable a broader range of individuals to be considered. In countries such as Kenya, these procedures have been considerably watered down, undermining the process, and the credibility of the representatives it produces.

The changes required do not only relate to selection. Once they are in position, it will then be essential to ensure continuous performance assessment during their five-year term to assess their commitment and contribution and weed out incompetent representatives. But even these changes may not be enough if political leaders continue to see positions as an entitlement rather than something to be earned. It is the practice of paying off losing candidates that the ultimate driver of the nominations game – and the quality of domestic administration and regional leadership is unlikely to improve until this is brought under control.

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A Just Energy Transition

As coal is dying we must be prepared to absorb the transferable infrastructure of this industry and re-tool it for use in the emerging economy.

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A Just Energy Transition
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The alternative energy economy is moving in the right direction. But there’s a devil in the detail: the extraction of rare-earth minerals (REM) needed to develop the technology and infrastructure for renewables are as devastating to the environment as the fossil fuels they seek to replace. Transitioning to a clean energy economy is imperative, and to do so justly, we must ensure job security, reparations, and environmental remediation to the communities where mining has both historically and currently exist.

In moving forward, we must ensure a just transition towards an alternative energy economy for our planet and for those who live on it. A just transition moves our economy off of fossil fuels, and toward clean energy, while providing just pathways for workers to transition to high-quality work with integrity. A just transition leaves no worker behind. This transition focuses on environmental and economic sustainability through decent work, social inclusion and poverty eradication.

Lithium, cobalt, arsenic, gallium, indium, tellurium, and platinum, just to name a few, are needed to develop a strong alternative energy economy and shift away from fossil fuels. Unfortunately, they are being mined with the same harmful practices and disregard as the very fossil fuels they’re meant to replace. The affected communities are often not those with purchasing power, but the Indigenous communities living in proximity to the mines.

In 2019, Evo Morales, Bolivia’s first Indigenous president was ousted in a coup, partly due to his push to nationalize the country’s lithium mines. It is believed that Elon Musk, the South African tech mogul had a hand in this process. Lithium is a mineral used in batteries that power various clean energy technologies, including electric cars. According to The International Energy Agency, the demand for lithium is slated to outpace the growth of fossil fuels two-fold in lieu of policies that will be in place to support its growth.

The low-carbon energy economy is at a cusp where the cross section of public policy and social consciousness has the potential to merge and propel our society into the future. In this transition to a clean low-carbon economy there are many jobs to be created, not only manual labor that poses high risks to human health but also jobs in electrical engineering, plant management, and urban design that are ultimately more skilled and higher paying. This transition will also require the implementation of educational infrastructure to help communities adapt.

It is imperative that we work to improve the ability of the people most affected by mineral extraction to have a say over that of the companies in what happens in their communities. We must ensure that the communities impacted have a pathway into the new economy and that nobody is left behind.

The process of mineral extraction is exactly that, extractive. Not only does it take from the earth, it also diminishes the value of the land over time and more often than not leaves a toxic mess that destroys entire ecosystems to which a monetary value can not be assessed or assigned. This process also requires immense human capital; the labor needed to get the job done. The pool of labor is often relegated to those within proximity to the mine, who exist at the cross section of poverty and opportunity. Even if the ultimate cost of this opportunity is the future of the local environment. When it comes between feeding one’s family where few other options are available, it’s a choice that must be made. It is the responsibility of the government and corporate interests to come together to ensure a just transition from the fossil fuel industry to an alternative energy economy.

As coal is dying we must be prepared to absorb the transferable infrastructure of this industry and re-tool it for use in the emerging economy. Factory buildings can be rehabilitated into solar power plants. Railways and transportation waterways can be retrofitted [with minimal effort] to assist in not only the transportation of goods and raw materials but for public transportation as well. The framework of industrial boom towns can lay the groundwork for community housing and commerce. Ensuring job training and security to the new energy economy is a vital form of equity for the communities impacted by mining. Alongside the reabsorption of the existing built infrastructure, we need to establish comprehensive and culturally comprehensive education apparatus to support the growth and development of a varied, skilled workforce required for such a transition.

South Africa, while one of the most mineral rich countries on the planet, cannot sustain its historical extractive economy. Research completed by the Alternative Information Development Center (AIDC) in Cape Town, shows that the legacy of post colonial-extractivist economics in South Africa has resulted in widespread resource depletion across the range of the country’s key resource sectors. It indicates that coal reserves have been mined downwards of 20% of original estimates. As of 20 years ago, 98% of South Africa’s total water resources had already been allocated, and the degradation of soil fertility is confirmed on 41% of cultivated land.

The extraction of resources and human capital is the keystone of colonialism and post-colonial neoliberal economics. This long standing tradition of the powerful taking something and leaving the poor with little or even something far worse continues unabated in our globalized world. Consequently, the framework of global energy infrastructure is a living relic of colonialism, harmful neoliberal economics, and ecological devastation. A debt left to the Indigenous communities where those, now even more, precious. minerals exist.

In order to transition towards a more just energy economy we must come together to:

  • Nationalize all existing and future energy infrastructure and each citizen is given a stake in the economic and functional well being of the grid and energy infrastructure. This also requires that industry is purchased or seized from foreign interest to retain as much of the economy in-house and circulate the wealth within the community.
  • Ensure all residents have fair and equitable as well as free or affordable access to all forms of energy.
  • Retrofit existing mining town infrastructure, factories, warehouses, storage facilities, waste sites are assessed with the appropriate environmental impact assessments and made available to the new economy.
  • Establish education and training programs to allow the existing and emerging workforce to be trained with job skills for the new economy. Some jobs will be lost indefinitely, so an economic safety net must be available along with a plan for those who may not be able to transition to the new economy so quickly.
  • Ensure that minerals such as titanium and lithium are mined with the full consent of the local community. They must not be extracted in the current, harmful ways.
  • Give priority to local peoples throughout all levels of employment in the mines and adequately training and developing the capacity of local leadership.

While these are just a few major considerations, it is important to involve the community to holistically define not only what a “just transition” can look like, but what a just transition will be for them—from the way rare earth minerals are mined, to the way we ensure job security and access to the new economy for those whose backs it has rested on for so long. Otherwise, the energy economy from fossils to alternatives remains a colonialist institution of quid pro quo for Indigenous, Black and Brown people.

This post is from a partnership between Africa Is a Country and The Elephant. We will be publishing a series of posts from their site once a week.

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Why Opinion Polls May Not Always Predict Election Outcomes in Kenya

This is the second in a series of articles that will review and comment on surveys related to the August 2022 general election, providing analytical tools to enable the reader to assess their credibility and potential impact.

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Why Opinion Polls May Not Always Predict Election Outcomes in Kenya
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This is the second in a series of pieces I have been engaged by The Elephant to write on the place of surveys in the forthcoming election.  As I noted in my first piece, I do so as objectively as I can, although for the sake of transparency I again declare that I am currently engaged as a research analyst for one of the firms whose results I review here (Trends and Insights for Africa, or TIFA).

A handful of recent polls

Since my previous piece was published at the beginning of April, the results of three credible surveys were published through the middle of May: those released by the Radio Africa Group in The Star on 18 April, by Trends and Insights for Africa (TIFA) on 5 May, and by Infotrak (sponsored by the Nation Media Group) on 12-13 May. While the first two indicate that Deputy President William Ruto was leading former Prime Minister Raila Odinga in the presidential race by 5 and 7 per cent respectively, they differ somewhat in important details, even beyond their respective headlines. They are also at odds with the most recent of these three surveys: those of Infotrak which have the two in a dead heat at 42 per cent each. I will begin with a visual comparison of the figures from the first two polls.

Survey Firm Sample Size/No. of Counties Data Collection Dates  Ruto  Odinga Others Undecided/NR
Radio Africa/The Star 4,057 / 47 1-5 April 2022 46% 41% 1% 12%
TIFA Research 2,033 / 47 22-26 April 2022 39% 32% 1% 28%
Difference -7% -9% +2% +14%

 

The first point to make is that although the TIFA results gave Ruto a larger lead margin (7 per cent vs. 5 per cent), the difference may not be significant, given that it falls almost entirely within their respective margins of error of around +/-2 per cent. The main difference is a whopping 16 per cent variance in the proportion who failed/declined to answer the presidential choice question. Two obvious questions arising from this are: (1) what might explain this gap, and (2) can any “deeper” analysis of the data suggest the “leanings” of these “silent” respondents?

Regarding the first question, no clear answer is apparent. However, it may be relevant that the Radio Africa poll was conducted by sending text messages to the sample derived from their data-base of phone numbers, whereas TIFA’s was conducted through the more standard Computer-Assisted-Telephonic-Interview (CATI) method (i.e., through live phone calls), based on the (comparable) TIFA data-base. Still, why this would make respondents in the latter survey less willing to reveal their presidential preferences is unclear.

Another puzzling issue has to do with Radio Africa’s stated margin of error, which is given as +/ 4.5 per cent. Yet with a reported sample size of 4,497, based on some 22 million registered voters (a figure against which the data were reportedly weighted), the margin of error is actually only +/-1.5 per cent. Why would the “Star Team” who produced the story want to make their findings look less precise than they are? (I made two phone calls to journalists at The Star about this but neither was able to provide a definitive explanation.)

Further, while the article by The Star made reference to findings from two previous similar Radio Africa surveys – showing Ruto leading Odinga by a huge 29 per cent last July (i.e., 43-14 per cent), and Odinga taking the lead for the first time in March, by 4 per cent (i.e., 47-43 per cent)—no suggestion was offered as to what could account for Ruto’s regaining the lead he previously enjoyed.  Indeed, even when reporting the results in March, all The Star could offer was that “Poll ratings can go up and down so Radio Africa will continue to conduct its monthly opinion polls up to the August 9 elections.”  In any case, it remains to be seen whether the just concluded party nominations and running mate selections will further reshape the race.

Why would the “Star Team” who produced the story want to make their findings look less precise than they are?

In addition, while the text of the article reported some results by region (i.e., North Rift, South Rift, Central, Upper Eastern, Lower Eastern, Nyanza, Western and Coast), the kind of quite useful table of results that had been included in the mid-March story was absent, as were any explicit comparisons of results at this sub-national level, leaving such calculations up to its readers to make—assuming they had kept the March results for such a purpose: e.g., an increase in support for Ruto in North Rift (from 63 per cent in March to 69 per cent now) but basically no change in Central (57 per cent in both March and April). While such changes may help to explain the overall result—the re-establishment of Ruto’s lead – it would be useful if the respective margins of error for each of the regions was also noted so that such sub-national changes from one poll to another could be put in a clear statistical perspective. But the earlier point remains: could the “Star Team” have provided any explanation as to why Odinga’s rating in Nyanza fell by 11 per cent in a little over one month?

Yet another methodological point is important to make here. If Nyanza constitutes about 13 per cent of the total sample, that generates a margin of error of +/-6 per cent, which means Odinga’s actual proportion in March (shown in The Star’s table as 78 per cent) could have been anywhere in the range of 71-84 per cent, and in April (shown as 67 per cent) in the range of 61-73 per cent.  Note here that at the low end of the March figure and the high end of the April figure there is an overlap of 2 per cent, meaning that it is possible—though unlikely—that his “true” Nyanza figures did not change at all over this period.

Could the “Star Team” have provided any explanation as to why Odinga’s rating in Nyanza fell by 11 per cent in a little over one month?

Another point: according to the Market Survey Research Association (MSRA) Guidelines, its members should interview at least 1,500 respondents in any survey reporting national (presidential) voting intention results, and while there is no such minimum for any sub-national polls (county, parliamentary constituency, ward), the margin of error should be made clear. There is, of course, no such requirement for the Radio Africa survey since the regions for which results are reported are not electoral units, even were this news organization an MSRA member (which it is not).

Stop press—another poll is out!

As I was writing this piece, the results of another national survey were released, this one by Infotrak, commissioned by the Nation Media Group. Its headline findings may be compared with TIFA’s in the same way as the latter are compared with Radio Africa’s above:

Survey Firm Sample Size/No. of Counties Data Collection Dates  Ruto  Odinga Others Undecided/NR
TIFA Research 2,033 / 47 22-26 April 2022 39% 32% 1% 28%
Infotrak 2,400 / 47 8-9 May 2022 42% 42% 1% 15%
Difference +3% +10% 0% -13%

 

Before addressing the main contrasts in these results, several points regarding methodology should be made. As Macharia Gaitho, writing an accompanying piece for the Daily Nation, pointed out, “The dates the data was [sic] collected will always have a bearing on the outcome in a fluid political situation, but unless there were very major shifts and realignments in the intervening period, even a fortnight between two polls cannot account for such variations.” This assertion makes sense given the absence of any dramatic events relevant to the fortunes of the two main contenders during the period between the two polls—the departure of Governors Alfred Mutua and Amason Kingi from Azimio to Kenya Kwanza coming just after data collection for the Nation/Infotrak poll. And he went on to add: “Other factors which influence the outcome of an opinion poll are methodology and sampling.” Note that Gaitho had raised some of these same important issues in a Daily Nation piece he authored just before the August 2017 election which I responded to and published in the Nation a few days later, identifying issues that I felt he had not sufficiently addressed.

Leaving aside the semantic error that sampling and methodology are distinct (since sampling is an inherent aspect of methodology), the factors he cites are certainly relevant: sample size and distribution across the country.

Sample size in this case is not an issue, since despite Infotrak’s being slightly larger, the respective margins of error are nearly identical: +/-2 per cent vs. +/-2.17 per cent. Further, even though Infotrak’s question wording differs slightly from TIFA’s (“…who would you vote for…?” vs. “…who do you want Kenya’s next president to be?”), it can be assumed that much of the contrast between the two surveys is a consequence of sampling. Simply put: how each sample was distributed across the country, and what the achieved distribution (whether through the “pot luck” willingness of those selected to participate, or through post-data collection weighting—or some combination of both) is for each demographic variable that might be relevant to the issue at hand: presidential candidate preference.

Unfortunately, and in contrast to TIFA’s release, the Nation gives us no basis for comparing these two samples in demographic terms. That is, while TIFA included figures for gender, age groups, and education level (the latter required by the relevant law enacted in 2012)—as well as the proportion allocated to each of the nine “zones” for which results were reported—we have no such data from the Nation (whatever Infotrak may have provided).

Of course, for most political surveys in Kenya the most salient variable in assessing the representative accuracy of a sample is its ethnic distribution. Most survey firms collect data on the ethnic make-up of its sample but, as far as I know, no survey firm has ever published it nor does the relevant Act require it. Presumably, this is for reasons of “sensitivity”—a form of “self-censorship” that appears universally accepted. This is not to suggest that ethnicity explains “everything” about the achieved results, but it is critical when gauging whether samples are truly representative. For example, in TIFA’s survey, well over half—but nowhere near all—of Ruto’s and Odinga’s “home” ethnic groups (i.e., the Kalenjin and Luo) expressed support for their respective presidential candidates. Given this reality, it is impossible to judge the comparability of the two samples involved here without knowing what proportion of the total sample in each survey is comprised of the country’s main ethnic groups. Specifically, was there a “sufficient” number of Kalenjin in the Infotrak sample, and a “sufficient” number of Luo in TIFA’s (and Radio Africa’s)? Of course, such figures should reflect “correct” random sampling based on the geographical distribution of registered voters according to the IEBC, rather than any “search” for these ethnic proportions.

Of course, for most political surveys in Kenya the most salient variable in assessing the representative accuracy of a sample is its ethnic distribution.

It should also be recognized that whether using the eight pre-2010 Constitution provinces, or TIFA’s nine “zones”, none of them is mono-ethnic, with some of the more homogeneous—Central, Nyanza and Western—having less than 90 per cent of their dominant ethnic groups (Kikuyu, Luo and Luhya, respectively). TIFA’s data indicates Lower Eastern is the most ethnically homogenous “zone” although even here, Kalonzo Musyoka, the leading Kamba candidate, only polled at 15 per cent support.

Another problem arises when using survey results to predict election outcomes. While the presidential contest results of both surveys were generally presented by the media as reflecting actual 9 August ballot choices, in neither case was it reported whether all respondents were registered voters, and among those who claimed to be (assuming they were asked), how “certain” they were that they would actually vote on Election Day. Despite this, the main Nation newspaper article reporting the results refers to the survey’s respondents as “voters”. This raises the possibility that actual voter turnout (that is known to vary across the country in every election) will deviate from the samples of these three surveys, even if they all claim to have used the distribution of registered voters as their sampling “universe”.

Since this cannot be precisely known in advance even much closer to the election, it is misleading to use such survey results to suggest, let alone predict, actual outcomes, as the Daily Nation did in its front-page caption by stating that neither Ruto nor Odinga “has enough backing to cross the 50%+1 threshold to win”. (It may be assumed that those involved in producing these stories are also aware of the additional requirement of obtaining at least 25 per cent in at least 24 of the 47 counties.)

But there is an even more blatant flaw in this “run-off contest” statement: an actual voter who wishes his/her vote to count cannot be “undecided” or “refuse to answer” as one can in a survey interview, since voters must choose from actual ballot choices. In response to one of the several 2013 presidential election petitions, the Supreme Court ruled that spoiled ballots are removed from the count of “total votes cast”, so that the denominator of the calculation for each candidate is based on total valid votes cast, not the total number of people who walked into a polling station.

TIFA’s data indicates Lower Eastern is the most ethnically homogenous “zone” although even here, Kalonzo Musyoka, the leading Kamba candidate, only polled at 15 per cent support.

Based on this reality, for example, the Infotrak results imply that each of the main candidates “would get” 49 per cent, since only about 1,008 of the reported total sample of 2,400 respondents mentioned Odinga and Ruto, and this figure should be divided by roughly 2,040, which is the figure we are left with after subtracting those who said they were undecided or who refused to answer the question—about 360 respondents.

In other words, even if these top two candidates are nearly tied on 9 August, it would seem that a run-off contest would be unnecessary unless the combined figure of all the other presidential candidates  exceeds 2 or 3 per cent—a much more likely prospect should Kalonzo Musyoka insist on “going it alone”.

Another contrast between the Infotrak and TIFA polls is important to point out, as it, too, could help to explain their contrasting results.

In terms of the distribution their samples, TIFA uses nine ethno-political “zones” while Infotrak (like Radio Africa) continues to use the former eight provinces. As such, the only sub-national results that can be compared (since they are used by both firms) are: Nairobi, Coast, Western and Nyanza. The table below shows the figures for these four units (comparing the TIFA figure on the left with Infotrak’s on the right, and the difference in parentheses on the far right):

Nairobi
TIFA / Infotrak
Coast
TIFA / Infotrak
Nyanza
TIFA / Infotrak
Western
TIFA / Infotrak
Ruto 25% / 33% (+8%) 26% / 29% (+3%) 21% / 18% (-3%) 37% / 33% (-4%)
Odinga 40% / 51% (+11%) 36% / 55% (+19%) 56% / 72% (+16%) 29% / 48% (+19%)

Even setting aside the higher error margins for each of these regions, which range between about +/-6 and 7 per cent—and thus equal to 12 per cent and 14 per cent spreads, based on their respective sub-national sample sizes—these contrasts are remarkable, especially the larger figures for Odinga in the Infotrak survey. (Note that given the lower Infotrak figures for “undecided” and “no response”—10 per cent and 5 per cent, respectively, as compared to TIFA’s 16 per cent and 12 per cent—Infotrak’s overall figures for both candidates are higher, as is also the case in the comparison of Radio Africa’s figures with TIFA’s.)

While the contrasting figures for Nairobi are minimal, since the 8 per cent difference between Infotrak’s and TIFA’s figure for Ruto is only 3 per cent lower than the difference in Odinga’s numbers for the other three sub-national units (Coast, Nyanza and Western), Odinga’s “Infotrak advantage” is much higher: 16 per cent, 19 per cent, and 23 per cent, respectively.  As noted, while TIFA provides the proportions allocated in its sample to each of the nine zones for which it presents results, Infotrak—or at least the Daily Nation—does not. But assuming they were roughly similar—and, as indicated, even taking the higher error margins for each into account—Gaitho’s summary point stands: that such disparate results cannot be accounted for by a minor discrepancy in the dates of the two surveys, given that no major events occurred that might have caused any significant shifts in attitudes towards either of the two main presidential candidates.

In connection with such contrasts between Infotrak and other credible survey firms in Kenya, a little history may be useful. For example, in their last surveys before the contested 2007 election, The Steadman Group gave Odinga a 2 per cent advantage over Kibaki, while Infotrak gave him a 10 per cent lead. Just before the 2013 election, Infotrak “predicted” an outright win for Odinga, whereas Ipsos’ results indicated that neither candidate would achieve this in the first round.  A little earlier, an Infotrak survey conducted at the end of December 2012 and into the first few days of 2013 gave Odinga a 12 per cent advantage over Uhuru Kenyatta (51 per cent to 39 per cent), whereas an Ipsos poll conducted only about two weeks later gave the former only a 6 per cent advantage (46 per cent to 40 per cent). Similarly, in their final surveys before the 2017 election late July, Infotrak had Odinga and Kenyatta in a virtual tie (47 per cent vs. 46 per cent) —on which basis it suggested that no one would win on the first round—whereas Ipsos gave Kenyatta a clear outright win: 52 per cent vs. 48 per cent, excluding those who claimed to be undecided or who declined to reveal their preference (which when included, generated a 47 per cent vs. 43 per cent advantage for Kenyatta), although leaving room for some minor deviation from these figures based on differential voter turnout across the country. In fact, Ipsos offered four possible voter turnout scenarios, none of which put Odinga closer than 4 per cent behind Kenyatta.

Of course, given the disputed nature of the official results in all three of these elections, it is impossible to know which survey firm’s results were closer to “the truth”. But they do reveal a clear pattern: that Infotrak has consistently given more positive results to Odinga than any of the other reputable survey firms in the country.  I should stress, however, that this “track record” should not be the sole basis for dismissing Infotrak’s current figures, but it does underscore Gaitho’s point that whenever there are differences in survey firms’ results that go beyond the stated margins of error, additional scrutiny is warranted—preferably to a degree that goes beyond what the Nation Media Group offered its readers/viewers on this occasion. Of course, given the fact that they sponsored the survey, such rigorous scrutiny might have been considered “inappropriate” at best.

On the other hand, it should also be recalled that in the polls conducted just before the August, 2010 constitutional referendum, Infotrak produced results that were slightly more accurate than those of Synovate—and there were no claims of any “rigging” in response to the official results.

In any event, the promise of continued polling by at least these three firms—Infotrak, TIFA and Radio Africa—should not only provide Kenyans with an evolving picture of the possible electoral fortunes of particular candidates and political parties/coalitions (as well as identifying the issues motivating voters at both the national and sub-national levels), but also invite them to more thoroughly scrutinize the performance of these firms and of any others that may appear and attain any serious media coverage. This is so even if the announcement of deputy presidential running-mates will make the next set of polls non-comparable with those examined here.

Of course, given the disputed nature of the official results in all three of these elections, it is impossible to know which survey firm’s results were closer to “the truth”.

The most useful data, however, would be the actual results announced by IEBC about which no credibility doubts are raised, so that only differential voter turnout would have to be taken into account in assessing the performance of the pollsters in their final survey rounds.

A concluding comparison: in the recent, second round run-off French presidential election, the final national poll had President Emmanuel Macron defeating Marine Le Pen by 56 per cent to 44 per cent, and the official (uncontested) results gave him a 58.5 per cent to 41.5 per cent victory (just within the poll’s margin of error). Given that, so far at least, there is no evidence that Kenyans lie any more than French people do when answering survey questions, let us hope that Kenyan survey firms can both individually and collectively achieve such accuracy.

Post-script

Just after completing this piece, on May 18 TIFA released the results of another CATI survey it had conducted the day before, comprised of 1,719 respondents. This came in the immediate wake of two days of drama: first, on 15 May, the announcement by Kenya Kwanza Alliance’s presidential candidate, DP William Ruto, of his coalition’s deputy president running mate, Mathira Member of Parliament Rigathi Gachagua, and on the following day, the announcement by Azimio la Umoja’s Raila Odinga of former member of parliament and cabinet minister Martha Karua as his running mate.

The most useful data, however, would be the actual results announced by IEBC about which no credibility doubts are raised.

The two main questions it sought to answer were: (1) How many Kenyans were aware of each of these running mates? (2) What were their presidential voting intentions?

For whatever reasons, it emerged than far more people were aware of Karua’s selection than of Gachagua’s (85 per cent vs. 59 per cent), a pattern which was replicated among those who expressed the intention to vote for Odinga or Ruto, respectively (90 per cent vs. 69 per cent). By contrast, awareness of Kalonzo Musyoka’s choice of running mate, Andrew Sunkuli, was far lower among both the general public and among those (few) who reported an intention to vote for Musyoka (21 per cent and 38 per cent, respectively).

But as expected, it was the results of the second issue that attracted most attention, which gave Odinga a modest but measurable lead over Ruto: 39 per cent to 35 per cent.  The central question these figures raised was whether Odinga’s jump into the lead, beyond the tie that Infotrak had reported just one week earlier, was to any degree a consequence of the identification of these two running mates, a question that will be addressed in the next piece in this series, by which time it is hoped at least one additional poll would have been conducted so as to confirm whether TIFA’s most recent figures do indeed represent a major shift in the presidential electoral terrain.

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