^ especially for those entering uni soon, y’all might be interested in checking this out (valid till 1 July)! 🙌🏻

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https://www.instagram.com/p/C8D6LDfRhEP/?igsh=YXI3bTJzeHZhdzhs

New post out! This post covers what is known as the “liar’s dividend”.

Today, when reading news about various conflicts—such as that between Israel and Palestine—many readers have taken a stance of neutrality as they read information from both sides. On one hand, Israel states its aims as the destruction of Hamas (which had previously attacked Israel) and the retrieval of hostages. On the other, supporters of Palestine highlight that Israel has gone beyond targeting Hamas and attacks civilians as well at a large scale (considered genocidal), and note deeper historical reasons behind what fueled the (albeit still unjustifiable) 7 October Hamas attacks on Israel in the first place: that Israel has been occupying what Palestine considers its territory and had committed crimes against its people (a claim Israel rejects). Israel claims its attacks of civilians are not intentional, but that Hamas operatives have for instance, hid themselves in civilian buildings like hospitals and schools leaving them with no choice but to risk civilian lives in their bid to attack the group.

Accepting that misinformation is rampant online, readers may rather not take a side: how do we know which side has presented information truthfully? This uncertainty breeds a cautious neutrality. This uncertainty that benefits bad actors is what we call the liar’s dividend.

In the face of evidence of human rights violations, a country may purport that such images or videos are merely disinformation or even AI-generated deepfakes. Even if they do not explicitly do so, the mere existence of a few black sheep of disinformation has caused the entire flock to be doubted—making it hard to ever fully believe in anything even when faced with real evidence.

But does this give us a right to be neutral? We argue that in this post that in the face of clear proof, it does not.

https://www.instagram.com/p/C7Tjr5TulD6/?igsh=MzNjeXhjZjVkYjU1

New post up! Check out the argument of “false consciousness”! 🧠 🤯

^ just posted on the topic of catch-22, which refers to a certain paradoxical situation you (or many others) may encounter!

https://www.instagram.com/p/C1UNXbwL9L0/?igsh=ODhhZWM5NmIwOQ==

Apologies for the lack of posts! Been a bit busy with tutoring (and law school), but I’ll try to post more frequently! To those that have finished their A-Levels, congratulations! You may want to continue following the channel for a while more because I may be sharing some stuff for uni too 👀

The sample count for the Presidential Election just got released, revealing that Tharman Shanmugaratnam has, in the sample, 70% of the votes. Interestingly, the reason for having a sample count made public (for the first time) has been to avoid misinformation and manage expectations. An idea you might want to know is that of an 'information vacuum'—the absence of information. When there is an information vacuum, misinformation tends to spread, and this is what the sample count works against (without a sample count, misinformation could easily spread around claiming a certain candidate is on the lead). Perhaps we are also learning from elections in some other nations, such as in the U.S., where Trump had accused the elections as being 'rigged' and 'stolen' and later caused protests by his supporters. By releasing a sample count, it perhaps manages expectations of candidates and their supporters before the final outcome is released, making such outbursts less likely.

New post out!

https://www.instagram.com/p/CurU2TirP3y/?igshid=Y2I2MzMwZWM3ZA==