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%|
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%|
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):
TIFA / Infotrak
TIFA / Infotrak
TIFA / Infotrak
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.
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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Why Kenyans Are Not Mourning the Queen
Those who know the psychological, social and economic damage that colonisation caused in their countries have been vocal about Queen Elizabeth’s failure to acknowledge the harm her empire inflicted on colonised subjects, or even to issue an apology.
The non-stop coverage of Queen Elizabeth’s death on international media for more than a week was met with various levels of disbelief in countries that were once colonised by Britain. The BBC, naturally, covered the Queen’s death and funeral as if it was a global tragedy, while CNN and Al Jazeera devoted hours to the ceremonies preceding the funeral, including interviewing the thousands of people who stood in long lines to pay their respects to the late monarch. The coverage reeked of British exceptionalism, as if what happens to Britain and its royal family is of immense significance to the entire world.
There seems to be a general sense of amnesia surrounding the Queen Elizabeth and her rule, especially the horrors her empire was unleashing in many parts of the world when she ascended to the throne in 1952. A friend based in Oxford told me that the police are even arresting people in Britain who are publicly protesting the Queen’s legacy. This kind of censorship seems bizarre in a land that describes itself as a champion of democracy and freedom of expression. It has become almost blasphemous to criticise the Queen and the monarchy.
Worse, British colonialism under her rule has been whitewashed and sanitised as if it never happened, or was a good thing. Most British people have also conveniently forgotten that the wealth their country enjoys today was built on the backs of African slaves who worked on the British Empire’s plantations in the Americas and the Caribbean, and through the exploitation of its colonies around the world, including in Africa.
For those who see the British Empire as a sinister force that destroyed communities and plundered people and territories, the extensive coverage of the Queen’s funeral appears like a slap in the face. An outfit called Economic Freedom Fighters in South Africa even issued a statement describing Queen Elizabeth as “the head of an institution built up, sustained, and living off a brutal legacy of dehumanisation of millions of people around the world”.
Kenya stood out as one country where the Queen’s death did not generate mass grief, even though the newly elected president William Ruto made an obligatory trip to London to attend her funeral and the outgoing President Uhuru Kenyatta declared four days of mourning. Kenyans on Twitter and other social media spaces did not send out messages of condolence to the Queen’s family, nor were there special state-led commemorations for the late monarch. This is not because Kenyans disliked the Queen; frankly, most of us view her as a nice – albeit extremely privileged – person who was trapped by her royal duties and did the best she could under the circumstances. But that is not the point. It is not the Queen that we resented but the institution she represented – and her failure to acknowledge the harm that the institution inflicted. As Kenyan journalist Rose Lukalo commented, “The Queen’s death and burial has resurfaced the uneasy truth of Kenya’s unfinished business with colonialism.”
Kenya stood out as one country where the Queen’s death did not generate mass grief, even though the newly elected president William Ruto made an obligatory trip to London to attend her funeral.
Many British people actually believe that the net impact of British colonialism around the world was positive because it established schools and railways and introduced Christianity to people who purportedly had no religion. They are not told that British colonialism in Kenya and other places was brutal and exploitative. It robbed indigenous people of their land, and created a class of landless people and squatters – terms that were virtually unknown in traditional African societies because all land was communally owned.
The history of slavery and Britain’s role in it is similarly whitewashed. Britain is often lauded for abolishing slavery in 1883, but what is not widely known is that when the Slavery Abolition Act was passed, there were more than 40,000 slave owners in Britain. What is also not talked about often enough is that one year after slavery was abolished, Britain and other European powers embarked on colonising Africa at the infamous Berlin Conference of 1884-1885, thereby unleashing another form of slavery on Africans.
The British Empire’s establishment of a “settler colony” in Kenya was particularly pernicious. In 1923, Britain forcibly possessed the most fertile parts of the Rift Valley – the so-called “White Highlands”, an area comprising 5.2 million acres. The locals were moved to “reserves” where they were expected to pay taxes to a government that basically stole their land from them.
When the locals rebelled, the Empire’s lackeys tortured them and put them in concentration camps. Caroline Elkins’ book, Britain’s Gulag, documents these atrocities in detail, including the rape of women deemed sympathetic to Mau Mau freedom fighters that had taken hold in Central Kenya, and whose members were jailed and tortured by the colonial regime. It is worth noting that the places where these Mau Mau revolutionaries were arrested, detained and tortured in the 1950s was not far from the Kenyan Aberdares mountain range where the young Elizabeth and her husband found out that her father, King George VI, had died and she was the new British queen. It is also worth noting that it took some 5,000 former Mau Mau members more than 60 years to receive compensation from the British government, a legal battle that has been lauded for its tenacity and boldness.
Colonialism’s lingering impact
Societies that have experienced the trauma of colonisation often become dysfunctional. Forced to abandon their traditional values and social security systems, uprooted from their ancestral lands and natural resources, and brainwashed to believe that they are inferior beings, these societies begin to manifest all the symptoms of a sick society. Colonisation separated families and introduced an economy based on exploitation, which changed the nature of African societies and economies.
Post-colonial governments did not reverse this sad state of affairs. On the contrary, post-independence Kenyan elites benefitted from colonial policies that alienated Africans from their own land and became the biggest beneficiaries of post-independence land grabs disguised as land redistribution or adjudication. It is believed that one of the main reasons Jomo Kenyatta was selected to lead the country’s transition to independence was because he had made a secret pact with the British colonial government not to hurt British and white settler interests in the country.
It took some 5,000 former Mau Mau members more than 60 years to receive compensation from the British government, a legal battle that has been lauded for its tenacity and boldness.
According to Kenya’s Truth, Justice and Reconciliation Commission report, “rich businessmen and businesswomen, rich and powerful politicians who were loyal to the colonial administration, managed to acquire thousands of acres at the expense of the poor and the landless.” Hence, “instead of redressing land-related injustices perpetrated by the colonialists on Africans, the resettlement process created a privileged class of African elites, leaving those who had suffered land alienation either on tiny unproductive pieces of land or landless.” Even today in Kenya, members of freedom fighting movements remain landless and poverty-stricken while those who sided with the colonialists are among the richest people in the land.
No royal apology
People who know the psychological, social and economic damage that colonisation caused in their countries have been vocal about Queen Elizabeth’s failure to acknowledge the harm her empire inflicted on colonised subjects, or even to issue an apology. Many royalists have insinuated that perhaps the Queen was not aware or had not been informed of the atrocities committed by British colonial officers in places like Kenya. But as Elkins stated in a recent article published in TIME magazine, this argument is highly implausible. She wrote: “Beginning with her first prime minister Winston Churchill, the queen’s ministers not only knew of systematic British-directed violence in the empire, they also participated in its crafting, diffusion and cover-up, which was as routinised as the violence itself. They repeatedly lied to Parliament and the media and, when decolonization was imminent, ordered the widespread removal and burning of incriminating evidence.”
Shashi Tharoor, the Indian author and politician, has a similar view. He believes that even if the Queen was not in charge when the Empire committed the most violent atrocities, she had a duty to at least acknowledge that these atrocities took place. “We do know that much of colonialism’s horrors over the centuries were perpetrated in the name of the Royal Family but when she and her consort visited Jallianwallah Bagh, she could only bring herself to leave her name in the visitors’ book, without even an expression of regret, let alone of contrition or apology, for that vile British act of deliberate mass murder,” he said. (Jallianwallah Bagh was a site in the city of Amritsar where hundreds of pro-independence activists were killed or injured in April 1919. Although Elizabeth was not queen then, the scale of the massacre was so shocking that it has been viewed as one of the worst atrocities that the British Empire committed against civilians.)
Now that the Queen is dead, will her son King Charles take the responsibility of confessing to the sins of his mother and the Empire she presided over? Not likely, given that the idea that the British monarchy is above reproach has become even more entrenched since her death.
Dandora Dumpsite: Where the Recycling Dream Goes to Die
While recycling is the preferred solution of plastic producing corporations, it is not environmentally sustainable as recycled plastic eventually returns to the environment leaving the original problem intact.
“Less plastic is fantastic,” says James Wakibia, an environmental activist who was instrumental to the 2017 ban on single-use plastic carrier bags in Kenya. And the world agrees with him. In fact, nations came together at the United Nations Environment Assembly (UNEA 5.2) in March 2022 and agreed to deal with the plastic problem by concluding a binding plastic treaty by 2024. Plastic pollution has become a pressing problem that affects every ecosystem in the world.
In Kenya, 4,400 tonnes of plastic waste are generated every single day. Of this waste, 73 per cent remains uncollected while 27 per cent ends up in dumpsites such as Dandora and other unsanitary landfills. The collected waste is mostly from urban centres that are the major polluters compared to rural areas. In urban centres such as Nairobi, Mombasa, Kisumu and Nakuru, the waste is only collected in the formal settlements; slums and other informal settlements, such as Kibera in Nairobi, have no waste collection services. Their waste is either dumped by the roadside, in rivers or burnt.
It is this glaring lack of solid waste management and the untethered use of plastics that has prompted the National Environment Management Authority (NEMA) to develop the draft Plastic Management Regulations 2018 that are yet to pass into law. David Ongare, Director in charge of compliance at NEMA, explains that plastic pollution in Nairobi has led to clogged drainage that causes flooding in the city each time it rains. Ongare further explains that microplastics from disintegrating plastic waste dumped in the environment are now being found in the human body. The toxins and particulate matter released when city dwellers burn plastics cause ill health among Kenyans and contribute to climate change.
The ill effects of plastics on human health and their long-lasting impact on the environment have led to calls from some quarters for a ban on nonessential plastics such as single-use plastic bottles. Some sectors have taken action, such as the tourism industry in Kenya where the Kenya Wildlife Service has banned single-use bottles in Kenyan parks. However, the call to ban single-use plastic bottles such as soda and water bottles has been fought vigorously by corporations in the business; they claim that there is no need to ban nonessential plastics since they can be recycled.
Stanley Didi, project coordinator at Nairobi Recyclers, says that recycling of plastic had stopped for a time due to the high cost of electricity in the country and the low prices that recycled plastic fetches on the Kenyan market. Didi explains that before Nairobi Recyclers advocated for a price increase to between US$0.13 and US$0.20 per kilogramme, recycled plastic was trading at US$0.034 per kilogramme. A hard-working waste picker could barely collect 10 kilogrammes in a day, earning the equivalent of just US$0.34, an amount that was not enough to buy one meal, let alone three.
Nairobi’s waste pickers work at the Dandora dumpsite, Kenya’s largest dumpsite that opened in 1975 and was declared full by public health officials in 2001. It is still in use over two decades later despite a June 16th 2021 court ruling ordering its closure within six months. The Dandora dumpsite receives over 2,000 tons of waste a day, making it the most viable working site for waste pickers to find plastics and other items that can be recycled.
Waste pickers at the Dandora dumpsite have no Personal Protective Equipment (PPE), which exposes them to toxins such as lead, dioxin and mercury. Moreover, poor pay that barely covers food means that most waste pickers sleep rough on the streets and are undocumented as they lack the means to access government services. The kind of life they lead also takes a toll on their mental health, causing them to use and abuse marijuana, glue, jet fuel and other drugs that are said to turn them into zombies.
Four waste pickers died of unknown causes even as the UNEA 5.2 convention was ongoing. They had been feeling ill but had no money to visit the hospital, Didi explains. Poor health is common among waste pickers who are exposed to toxins from burning plastic. Neurological impairment, kidney failure, lung and prostate cancer, irritation of the lungs and gastrointestinal tract, kidney damage, abnormalities of the skeletal system and suppression of the haematological system are some of the health complications suffered by waste pickers and recyclers because of the pollutants to be found in the waste.
But the recycling challenges are not confined to waste pickers at dumpsites. Wakibia explains that the manner in which the recycling process is handled in the various plastic recycling plants that he has visited across the country leaves a lot to be desired. Workers at these plants also lack PPEs, which exposes them to dangerous toxins while the plastics themselves are mixed and smelted without regard to classification which results in a recycled plastic product of low quality. After use, the recycled plastic product returns to the environment and as it can no longer be recycled, the original problem of plastic pollution remains unsolved. Moreover, recycling plants pollute the air and release untreated wastewater directly into the environment. A process that seeks to mitigate the effects of plastic pollution ends up creating more pollution.
“The problem is that Kenya operates in a linear economy where the producer’s responsibility ends once the goods are placed in the market and takes no concern on the post-consumer stage”, says Ongare. The “polluter pays” principle should be in use in Kenya where the corporations responsible for polluting pay for the cost of clean-up and compensate those that have been negatively affected by their actions.
But this has been difficult to put into practice. With its 41.7 per cent share of the PET plastics category, Coca Cola has been named as the leading plastic polluter in Kenya. The company has consistently preached recycling. Dandora HipHop City is a group that exchanges plastic bottles for food for the children of Dandora who would otherwise sleep hungry. The group depends on donations as the low income from recycling plastics cannot sustain its activities. When the group sought support for their recycling programmes from Coca Cola, they were offered a fridge full of plastic bottles of soda. Following a similar request, Nairobi Recyclers received a donation of plastic gurney bags. And nor did Clean Up Kenya fare any better; when the group organised cleaning events in conjunction with Coca Cola, the corporation provided only soda in plastic bottles at the end of the gruelling day.
Corporations such as Coca Cola prefer to deal with Kenya PET Recycling Company Limited (PETCO), an organisation bringing together plastic dealers in Kenya that was created in 2018 when calls to ban single-use plastics in the country began to gain momentum. The organisation, which is housed within Coca Cola’s premises, has done little to contribute to recycling efforts in the country, says Didi. As of this year, recycling in Kenya was still at a bare 8 per cent.
The government also sings the praises of recycling while leaving it to waste pickers, volunteers and nongovernmental organisations. In fact, waste pickers and recyclers have to pay NEMA and county governments approximately US$259 annually for permission to pick or recycle waste.
Kenyans thus find themselves in a plastic quagmire. Plastics are choking their cities, their homes, their streets, their rivers and parks. Nairobi’s only dumpsite is full and can no longer handle the 4,400 tons of plastic waste that Nairobians dump each day. Recycling, the preferred solution of plastic producing corporations, is not only environmentally unsustainable but it releases long-lasting toxins into the air Kenyans breathe and the water they use. Devolution of waste management to the counties has not led to an improvement of the situation and the government continues to face a growing solid waste management problem.
For how long will plastic pollution continue to cause harm before the country says enough is enough? It is time to pull the plug on all nonessential plastics in the country. Kenya has done this before with the 2017 ban on single-use plastic carrier bags. Not producing and not using plastics is the only formula that will work in the fight against nonessential plastics.
Kericho County: Tea, Foods and Shifting Weather Patterns
Kericho County has experienced a gradual change in climatic conditions over the past three decades, with rainfall becoming irregular and unpredictable and drought more frequent. As a result, the region’s agricultural output is deteriorating.
Climate change has become a central topic in recent conversations. And however much we may wish to bury our heads in the sand and act like the implications aren’t dire, we must acknowledge that the impact is profound. From the inconsistencies in the weather patterns and the rise in temperatures among many other indicators, we are now seeing the effects of neglecting our environment.
Kericho County lies within the bread basket zone that is Kenya’s Rift Valley, enjoying adequate rainfall, a cool climate, and fertile soils that have made it a food hub and a cog in the wheel of Kenya’s urban food supplies. According to the 2014 Agricultural Sector Development Support Programme (ASDSP), agriculture was the primary occupation and a direct and indirect source of livelihood for over 50 per cent of Kericho’s the residents.
However, a worrying trend highlighted by climate experts points to a gradual change in the region’s climatic conditions over the past three decades. With rainfall becoming irregular and unpredictable and drought more frequent, the region’s agricultural output is deteriorating.
A June 2020 report by the Kenya Meteorological Department, and a March 2020 report by the Kenya Agricultural and Livestock Research Organization (KALRO), show growing disparities in how the climatic shifts affect different regions. Kericho’s daytime temperatures have gone up by 11 per cent while night-time temperatures have increased by 24 per cent. The changes have brought with them their fair share of problems and challenges to the region. For instance, the county is now witnessing crop diseases that were previously unheard of. Moreover, failures and reduced yields are forcing farmers to look for alternatives to crops like tea and coffee that used to do well in the county.
An estimated 79 per cent of the land in Kericho is arable and a majority of residents live in the county’s outlying rural areas such as Cheborge, Soin, Londiani, Chepseon and Buret where farming thrives. The county has four agro-ecological zones: Upper Highlands, Lower Highlands, Upper Midlands, and Lower Midlands. The main crops farmed in the county include tea, coffee, maize, and beans. Potatoes, wheat, flowers, and pineapples are also grown in parts of the county while dairy farming also does well in the region. Data from Kericho’s Second Generation County Integrated Development Plan 2018- 2022 indicates that on-farm employment accounts for over 50 per cent of all the jobs in the county, while the Tea Agricultural Authority affirms that tea farming supports over 5 million people directly and indirectly nationally. Kericho, Bomet and Nandi counties produce 46 per cent of all the tea grown in Kenya, an indication of the significance of tea to Kericho’s economy.
Tea farming in Kericho involves both smallholder farmers and large-scale multinational companies such as Finlays, Kaisugu, and Unilever. However, available reports show that incomes from the cash crop have been dwindling over the years, mainly due to the changing weather patterns that have contributed to low yields, while the crop is fetching less in the international markets. Some tea farmers in the region are now uprooting their tea plantations that have been adversely affected by prolonged dry spells, hailstorms, frost, and crop diseases, opting instead to venture into real estate, dairy farming, and farming of crops that can withstand the changing climate. While the shift is important in ensuring food security and sustainability of livelihoods, it also to a significant degree puts a dent in the county’s revenues owing to reduced tea exports.
Besides providing food to the country, agriculture also contributes to improved livelihoods. Managed well, it spurs economic growth, drives national short and long-term goals, and contributes to sustainable natural resource use and ecological balance within the farming communities. Agriculture also contributes significantly to household nutrition, savings, and county revenue, and is therefore a crucial sector in terms of investment and innovation.
However, climate change is making it impossible to sustain high agricultural production in a county where residents rely on rain-fed agriculture for their livelihoods, with poor yields translating to loss of income for those who rely on agriculture both directly and indirectly.
Crop failure means reduced incomes for farmers and other key players in the production value-chain, leading to a lower purchasing power and lower yields for other businesses that rely on farming. Low purchasing power means that the farmer cannot purchase farm inputs, which leads to poor yields in subsequent seasons. Moreover, low purchasing power affects education in the county, as farmers become unable to keep their children in school, thereby increasing the number of dropouts in the region.
Climate change is making it impossible to sustain high agricultural production in a county where residents rely on rain-fed agriculture for their livelihoods.
Forty-six-year-old Pauline Kimengich, a teacher in Kericho County, observed that there were cases of students in the region opting for early marriage after their parents were unable to raise money for their high school education, a trend which threatens the literacy levels of the county. Her sentiments are echoed by Enoch Tanui, 52, a small-scale farmer who admits to having his children help him out on the family farm because of lack of school fees.
According to the Agricultural Sector Development Support Programme (ASDSP), most of those involved in the various agricultural activities in the region are the youth and women, although the men do participate in information-sharing and decision-making. For instance, most of the workers in the tea farms are women and youth who work primarily as tea pickers. Given the role a woman plays in the community, loss of income due to dwindling fortunes in the agricultural sector adversely affects the running of households in the region.
Moreover, loss of income forces a change in the eating habits of families. Changes in eating habits pose nutritional challenges to the family which affect, most notably, children’s health, and lead to early marriages and increased levels of crime. According to the National Crime Research Centre’s 2018 report, Kericho’s recorded rate of theft stood at 42 per cent against a national rate of 40.4 per cent. This can be attributed to the loss of income as a result of changes in climatic conditions, as a majority of the county dwellers depend on agriculture. Moreover, the county also recorded high rates of cattle rustling (34.3 per cent), burglary and break-ins (21 per cent) and theft of farm produce (15.5 per cent) which can also be linked to the dwindling fortunes in agriculture.
The changes in farming techniques and the resulting challenges and strain on the food system are a wake-up call for all interested parties to act. When a county such as Kericho, which feeds our national forex basket through exports, feels the impact of climatic changes to such a great extent, one can assume that other cash-crop farming counties have not been spared either.
Climatic changes that lead to prolonged droughts and low agricultural yields mean that the government must invest heavily in relief programmes and other measures to mitigate their effects. This may imply the government diverting resources meant for development towards curbing the effects of climate change. Through the Ministry of Agriculture, Livestock, and Fisheries (MoALF) and with funding from the World Bank’s International Development Agency, the Kenyan government is implementing the Kenya Climate-Smart Agriculture Project (KCSAP) to build resilience against climate change and increase agricultural productivity.
By establishing Climate Risk Profiles, county governments are made aware of the climate change risks and opportunities in their counties and how to best incorporate these perspectives in their planning and county development projects. The National Climate Change Response Strategy (NCCRS), developed in 2010, recognizes the impact of climate change on a nation’s development. The formation of NCCRS birthed the National Climate Change Action Plan (NCCAP) in 2012, whose core mandate is to provide an implementation strategy for the proposals of the NCCRS. These two bodies have been fundamental to how Kenya responds to climate change and the steps to be taken towards achieving meaningful change.
Climatic changes that lead to prolonged droughts and low agricultural yields mean that the government must invest heavily in relief programmes and other measures to combat the effects.
The creation of county chapters of NCCAP that can work closely with the agriculture dockets in the counties to identify the challenges on the ground would be ideal in combating the effects of climate change as opposed to having an umbrella view of the situation. Farmers at the grassroots need to feel the impact of these programmes and benefit from the extension services if the country is to witness a meaningful impact.
The risks have led both national and international agencies to take action to fix the problem. With the world warming faster than at any time in recorded history, the United Nations Environmental Programme (UNEP) 2020 Emissions Gap Report proposed a solution across six sectors—energy, industry, agriculture, ecological, transport and cities—that member states can adopt. In agriculture, it proposes reducing wastage, adopting more sustainable diets, safe agricultural practices, and cutting back on emissions.
In the case of Kericho County, while the government is encouraging diversification, crops that can do well in the region but are only grown on a small scale need to be considered. For instance, local vegetables, chicken-rearing, and other agricultural produce should be produced on a large scale to reduce the over-reliance on one crop. This will ensure that people in the county have a source of livelihood even when one crop fails. Further, agricultural extension services, especially in the rural areas, need to be given a shot in the arm to ensure that farmers employ safer farming methods and are enlightened on the best ways to maximize yields while being mindful of their environment.
Rivers in Kericho such as Sambula, Chebilat and Tuyiobei have been drying up, reducing the water available for livestock and farming. Encouraging agroforestry, reforestation and afforestation will not only increase the diminishing forest cover but will also ensure water catchment areas are replenished.
Article 11 of the International Covenant on Economic, Social, and Cultural Rights (ICESCR) and Article 25 of the Universal Declaration on Human Rights recognize access to food as a legal right, as does Article 43 of the Constitution of Kenya. The right to food gives rise to three obligations by governments: the obligation to respect this right by not taking measures that deprive people the right to food; the obligation to protect this right by enforcing laws that prevent third parties from infringing on others’ right to food; and the obligation to fulfil this right by facilitating and providing for the empowerment of people to feed themselves.
The reduction in the yields of different crops imperils the right of all Kenyans to live a dignified life, free from hunger and malnourishment. Poor crop yields further reduce the purchasing power of farmers, which has a ripple effect on other sectors that are dependent on agriculture. The effects of climate change and poor agricultural yields also mean that food suppliers have to import or seek alternatives to meet demand in the market. This leads to an increase in rural-urban migration, which creates congestion in the urban centres and puts a strain on the available resources and opportunities in the urban settings. The failure of the tea crop, specifically, means that the nation loses export revenues, shifting the equilibrium in the balance of trade.
The reduction in the yields of different crops imperils the right of all Kenyans to live a dignified life, free from hunger and malnourishment.
Changes in climate also mean that those farmers who previously relied on tea will be forced to look for alternative means of livelihood. In an economy where creation of employment is low, job losses in the agricultural sector aggravate the dire situation in the already flooded job market. Lack of employment leads to crime as those formerly employed in the agricultural sector strive to fend for their families.
These changes underline the importance of environment conservation and working towards combating climate change. Good weather leads to flourishing agriculture. Investing in agriculture opens up employment opportunities in the farms and other industries that depend on agriculture, which reduces unemployment and brings down crime rates. Employment opportunities improve the purchasing power of citizens, enabling them to make informed and better choices in nutrition, education and other areas which translates to improved livelihoods and a more prosperous nation.
This article is part of The Elephant Food Edition Series done in collaboration with Route to Food Initiative (RTFI). Views expressed in the article are not necessarily those of the RTFI.
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