Allan Lichtman: Who is Allan Lichtman, the ‘Nostradamus of US presidential poll predictions’ | World News

Allan Lichtman, a distinguished historian and political analyst, is often dubbed the “Nostradamus of presidential election predictions” due to his remarkable accuracy in forecasting the outcomes of US presidential races.
Since 1984, Lichtman has successfully predicted the winners of nine out of the last ten presidential elections, employing a unique model he developed called the “Keys to the White House.”
This model consists of 13 true-false statements that assess the political landscape and the performance of the incumbent party, allowing Lichtman to make his predictions based on historical trends rather than polling data or campaign strategies.
Early life and career
Born on March 18, 1947, in New York City, Lichtman earned his PhD in history from Harvard University. He has spent much of his academic career at American University in Washington, DC, where he specializes in US political history.
His scholarly work encompasses a range of topics, including the history of American politics and the dynamics of presidential elections. Lichtman’s academic background and deep understanding of political history have equipped him with the tools necessary to analyze electoral trends and outcomes effectively.
The keys to the White House
Lichtman’s predictive model, the “Keys to the White House,” was developed in collaboration with geophysicist Vladimir Kogan in the early 1980s. The model relies on 13 keys that evaluate various aspects of the political environment, including the incumbent party’s performance in midterm elections, the presence of significant challengers, economic conditions, and the absence of scandals. Each key is assessed as either true or false, and if six or more keys are false, the incumbent party is predicted to lose the election.
The 13 keys are as follows:
Party Mandate: The incumbent party has more seats in the House of Representatives following the midterm elections compared to the last midterm.
Nomination Contest: There is no significant challenge to the incumbent party’s nomination.
Incumbency: The sitting president represents the incumbent party.
Third-party Factor: There is no noteworthy third-party or independent campaign.
Short-term Economic Stability: The economy does not face recession during the election period.
Long-term Economic Growth: Real per capita economic growth equals or surpasses the average growth of the preceding two terms.
Policy Shift: The incumbent administration enacts major alterations in national policy.
Social Stability: There is no prolonged social unrest throughout the term.
Scandal-Free: The incumbent administration remains free from major scandals.
Foreign/Military Failures: The incumbent administration has not faced major failures in foreign or military matters.
Foreign/Military Successes: The current administration achieves significant successes in foreign or military affairs.
Incumbent Charm: The candidate from the incumbent party possesses charisma or enjoys national hero status.
Challenger Appeal: The opposing party’s candidate lacks charisma or national hero status.
Trump vs Harris
In his latest prediction for the 2024 presidential election, Lichtman asserts that Kamala Harris will defeat Donald Trump, maintaining Democratic control of the White House. He bases this prediction on an analysis of the 13 keys, concluding that eight keys favor Harris while only three favor Trump. Notably, Lichtman emphasizes the importance of the political landscape, including economic indicators and the absence of significant social unrest or scandals, in shaping electoral outcomes.
For instance, Lichtman pointed out that the Democrats lost seats in the House during the 2022 midterm elections, making the “Party Mandate” key false. However, he noted that Harris benefits from a lack of significant third-party challengers and positive economic indicators, which favor her candidacy. Lichtman’s approach is distinct from traditional political commentary, as he largely ignores polls and campaign strategies, focusing instead on historical patterns and the structural dynamics of elections.
Historical impact and legacy
Lichtman’s predictions have garnered significant attention, particularly for their accuracy. He was one of the few analysts to predict Donald Trump’s victory in 2016, despite widespread belief that Hillary Clinton would win. His ability to foresee Biden’s victory in 2020 further solidified his reputation as a reliable predictor of electoral outcomes.

var _mfq = window._mfq || [];
_mfq.push([“setVariable”, “toi_titan”, window.location.href]);

!(function(f, b, e, v, n, t, s) {
function loadFBEvents(isFBCampaignActive) {
if (!isFBCampaignActive) {
return;
}
(function(f, b, e, v, n, t, s) {
if (f.fbq) return;
n = f.fbq = function() {
n.callMethod ? n.callMethod(…arguments) : n.queue.push(arguments);
};
if (!f._fbq) f._fbq = n;
n.push = n;
n.loaded = !0;
n.version = ‘2.0’;
n.queue = [];
t = b.createElement(e);
t.async = !0;
t.defer = !0;
t.src = v;
s = b.getElementsByTagName(e)[0];
s.parentNode.insertBefore(t, s);
})(f, b, e, ‘https://connect.facebook.net/en_US/fbevents.js’, n, t, s);
fbq(‘init’, ‘593671331875494’);
fbq(‘track’, ‘PageView’);
};

function loadGtagEvents(isGoogleCampaignActive) {
if (!isGoogleCampaignActive) {
return;
}
var id = document.getElementById(‘toi-plus-google-campaign’);
if (id) {
return;
}
(function(f, b, e, v, n, t, s) {
t = b.createElement(e);
t.async = !0;
t.defer = !0;
t.src = v;
t.id = ‘toi-plus-google-campaign’;
s = b.getElementsByTagName(e)[0];
s.parentNode.insertBefore(t, s);
})(f, b, e, ‘https://www.googletagmanager.com/gtag/js?id=AW-877820074’, n, t, s);
};

function loadSurvicateJs(allowedSurvicateSections = []){
const section = window.location.pathname.split(‘/’)[1]
const isHomePageAllowed = window.location.pathname === ‘/’ && allowedSurvicateSections.includes(‘homepage’)

if(allowedSurvicateSections.includes(section) || isHomePageAllowed){
(function(w) {

function setAttributes() {
var prime_user_status = window.isPrime ? ‘paid’ : ‘free’ ;
var viwedVariant = window.isAbPrimeHP_B ? ‘B’ : ‘A’;
w._sva.setVisitorTraits({
toi_user_subscription_status : prime_user_status,
toi_homepage_variant_status: viwedVariant
});
}

if (w._sva && w._sva.setVisitorTraits) {
setAttributes();
} else {
w.addEventListener(“SurvicateReady”, setAttributes);
}

var s = document.createElement(‘script’);
s.src=”https://survey.survicate.com/workspaces/0be6ae9845d14a7c8ff08a7a00bd9b21/web_surveys.js”;
s.async = true;
var e = document.getElementsByTagName(‘script’)[0];
e.parentNode.insertBefore(s, e);
})(window);
}

}

window.TimesApps = window.TimesApps || {};
var TimesApps = window.TimesApps;
TimesApps.toiPlusEvents = function(config) {
var isConfigAvailable = “toiplus_site_settings” in f && “isFBCampaignActive” in f.toiplus_site_settings && “isGoogleCampaignActive” in f.toiplus_site_settings;
var isPrimeUser = window.isPrime;
var isPrimeUserLayout = window.isPrimeUserLayout;
if (isConfigAvailable && !isPrimeUser) {
loadGtagEvents(f.toiplus_site_settings.isGoogleCampaignActive);
loadFBEvents(f.toiplus_site_settings.isFBCampaignActive);
loadSurvicateJs(f.toiplus_site_settings.allowedSurvicateSections);
} else {
var JarvisUrl=”https://jarvis.indiatimes.com/v1/feeds/toi_plus/site_settings/643526e21443833f0c454615?db_env=published”;
window.getFromClient(JarvisUrl, function(config){
if (config) {
const allowedSectionSuricate = (isPrimeUserLayout) ? config?.allowedSurvicatePrimeSections : config?.allowedSurvicateSections
loadGtagEvents(config?.isGoogleCampaignActive);
loadFBEvents(config?.isFBCampaignActive);
loadSurvicateJs(allowedSectionSuricate);
}
})
}
};
})(
window,
document,
‘script’,
);



Source link

Latest articles

Related articles

Discover more from Technology Tangle

Subscribe now to keep reading and get access to the full archive.

Continue reading

0