Nawaz Sharif return back date to Pakistan announced yet again

Nawaz Sharif return back date to Pakistan announced yet again

Nawaz Sharif, the prominent figure in the Pakistan Muslim League-Nawaz(PML-N) party, has recently declared his intention to return to Pakistan inthe upcoming month of October. This announcement has stirred speculation,as it coincides with Chief Justice Umar Ata Bandial’s retirement. Thedecision was formulated during a meeting held in London, United Kingdom,where Nawaz Sharif has been residing since 2019. Accompanying him in theEnglish capital were PML-N President Shehbaz Sharif and former FinanceMinister Ishaq Dar.

It’s worth noting that this is not the first time PML-N leaders have setanticipated return dates for Nawaz Sharif. The party has made similarannouncements in the past, fueling ongoing discussions and uncertaintysurrounding his return. In a recent interview with Geo News, Shehbaz Sharifindicated that Nawaz’s return to Pakistan would indeed take place in thecoming month.

However, questions lingered regarding the potential challenges Nawaz Sharifmight face upon his return, particularly from the caretaker government. Inresponse to this, Shehbaz Sharif emphasized that Nawaz would abide by thelaw.

Interestingly, Nawaz Sharif’s decision to return is seemingly influenced bythe anticipation of a change in the leadership of the judiciary, withSeptember 16 being a crucial date in his perception, as he believes justicemight be more attainable with a different Chief Justice in Pakistan.

In summary, Nawaz Sharif’s forthcoming return to Pakistan in October hasraised speculation and intrigue, especially as it coincides with ChiefJustice Umar Ata Bandial’s retirement. This decision was solidified duringa meeting in London, with PML-N leaders present.

The history of such announcements adds an air of uncertainty, but ShehbazSharif remains confident in Nawaz’s return. The prospect of facing legalchallenges upon his return is acknowledged, but Nawaz’s hope for a fairerjudiciary adds an additional layer of complexity to the situation.