Thursday, August 27, 2020

What If Trump Loses The Election... And Decides To Fight The Result

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Vanshita Banuana

Article Title

What If Trump Loses The Election... And Decides To Fight The Result

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Global Views 360

Publication Date

August 27, 2020

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A person wearing Donald Trump mask

A person wearing Donald Trump mask | Source: Darren Halstead via Unsplash

In an interview in July 2020, Donald Trump, President of the United States, told an American TV host, Chris Wallace that he is “not a good loser,” when asked about the possibility of the November Presidential election results not being in his favour. “I am not going to just say yes. I’m not going to say no.”

Since he began his run for President in the 2016 elections, Trump has been extremely vocal about claiming rigged elections even after he won, and that Democrats have set out to make him lose through a variety of alleged means. Similarly in this election, he has continuously claimed that expansion of absentee and mail-in ballots will ‘corrupt’ the election. Even before the pandemic, as early as May 2019, there were concerns that Trump won’t allow for an easy transition of power, to the extent that Speaker Nancy Pelosi had to comment on them.

Trump’s photo in Coronavirus section of a Newspaper | Source: Charles Deluvio via Unsplash

It’s possible Trump has been escalating this rhetoric because his COVID-19 mismanagement among other things, has put him behind his rival Joe Biden in national polls. It is bad enough that a President is questioning the integrity of elections with little to no proof to back up his exaggerations, but this will almost definitely lead to the people of the country— whether his supporters or not— distrusting the elections as well.  

Despite the absentee and mail-in ballots being provided due to the coronavirus pandemic, to enable social distancing and to allow people to vote safely from home. Trump has often played down the coronavirus pandemic, and called Anthony Fauci, the National Institutes of Health expert on infectious diseases, an “alarmist” for raising issues pertaining to COVID-19.

The chances of an “electoral meltdown” are slim, but not impossible; the right (or wrong) mix of factors can lead to disaster. Lawrence Douglas, professor of law, jurisprudence and social thought, at Amherst College, Massachusetts. imagined a scenario where the difference between Trump and Biden rests on swing states and mail ballot results. Given the chance of a higher than usual number of mail-in ballots this year due to the pandemic, delays in counting votes are to be expected. Trump wouldn’t be slow to claim rigged elections and refuse to wait for all votes to be counted and right-wing media wouldn’t be slow to broadcast this everywhere.

In a closely fought election like this US Presidential election , the ‘Swing states’ (where both parties enjoy similar levels of popularity) will play a major role in the outcome. Three of the major swing states in America: Michigan, Wisconsin, and Pennsylvania have Republican lawmakers but Democratic governors. Each state is required to submit electoral certificates declaring the election winner in their state. By the time all votes are counted, Republican legislatures and Democratic governors might end up submitting conflicting election results for the same state.

A similar stalemate had occurred in 1876. It led to a “disastrous” compromise and the 1887 Electoral Count Act, which, according to Professor Douglas, may prove deficient in preparing for an impasse like the one that currently looms in the realm of possibility.

If Trump were to challenge the result he might have a few options for his course of action. He could challenge the results in court, as happened in 2000 in the state of Florida. Or, Republicans in state legislatures might use the Constitution to override the decision of the popular vote.

According to speaker Nancy Pelosi, Democratic nominee Joe Biden, and some Trump campaign spokespeople believe that Trump will accept the results of the election but do not rule out the possibility of him putting up a fight.

For others, given what is known about Trump’s behaviour, it’s more or less anticipated that he, and his twitter, will be raging with a lot of accusations if he loses the election, especially if it happens by a close margin. The important questions related to what he chooses to do about it and who backs him up.

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February 4, 2021 4:52 PM

Randomised Control Trials and the Alleviation of Poverty in India

Abhijit Banerjee and Esther Duflo won the 2019 Nobel Prize in Economics for their “experimental approach in alleviating global poverty”. Their experimental approach encompassed a variety of novel methods to understand and analyse interventions and Randomised Control Trials (RCTs). Their research has been used by policy makers to make informed policy decisions to best help the marginalised.

What are RCTs?

To understand the effect of a policy, intervention, or medicine, decision makers try to measure the efficacy of the treatment. Do deworming pills given to children improve test scores? Does providing chlorinated water improve the health and economic outcomes of villages? These are some causal (read causal, i.e. caused by, not casual) questions researchers are interested in. The best way to analyse causal effects is to randomise the selection of people in the treatment and the control group (for example: children who are given deworming pills versus children who are not given the pills). This random selection of the two groups removes many statistical biases that might affect the results.

RCTs in India:

Many of the RCTs performed by Banerjee and Duflo were in India. They involved short- and long-term impact assessments of various interventions, policies, models, and treatments. We look at a few RCTs implemented in India:

Teacher absenteeism rates:

Troubled by the low attendance rates (or high absence rates) of public-school teachers in India, Duflo assessed the impact of financial incentives on the absence rates of teachers in Rajasthan. The study monitored teacher attendance by cameras, which was tied to a financial incentive if the attendance was high. From a baseline absence rate of 44%, teacher absenteeism in the treatment group fell by 21%, relative to the control group. High teacher attendance caused child test scores to improve too.

COVID-19 and health-seeking behaviour:

In the context of COVID-19, Banerjee tested the effect of sending messages via SMS that promoted health preserving behaviour. The results were very positive. By sending a short, 2.5-minute clip to 25 million randomly selected individuals in West Bengal, the intervention i) found a two-fold increase in symptom reporting to village health workers, ii) increased hand washing rates by 7%, and iii) increased mask-wearing by 2%. While mask-wearing rates increased only marginally, the spillover effects (wearing a mask stops the virus from infecting more people) were moderately high and positive.

Asset Transfers and the Notion of Poverty:

An RCT by Banerjee in West Bengal involving a productive asset transfer accompanied with training found large and persistent effects on monthly consumption and other variables. The treatment group reported 25% higher consumption levels relative to the control group, who did not receive the asset transfer and training. Implications of such RCTs are huge. The notion that the poor are lazy and unwilling to perform strenuous labour is falsified by this RCT. Often, what the poor lack are opportunities that are hard to come by, given their financial status. A small nudge, like the asset transfer, can cause large and positive effects on their well-being.  

Salt fortification to reduce anaemia:

RCTs also help rule out less cost-effective interventions. Duflo and Banerjee evaluated an RCT which distributed fortified salt in 400 villages of Bihar, to reduce the prevalence of anaemia. However, this intervention found no statistically significant impact on health outcomes like anaemia, hemoglobin, etc.  Thus, while RCTs help introduce novel methods of impacting the lives of the poor, they also help in ruling out in-effective measures. A policy maker might try other alternatives to reduce the prevalence of anaemia.

Are RCTs the gold standard?

Maybe. Extrapolating results from a regional RCT to national policies could present problems. Contextuality matters. A study that indicates positive gains for one region might present different, and rather adverse effects for another region. Nation wide effects might not be as prominent as regional results of a single RCT. The good part is that Banerjee and Duflo have a solution. Just perform more RCTs!

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