Ad platforms work in varying degrees for different products and companies. You should not dismiss an ad platform based on poor performance alone without understanding why it performed poorly.
It's sort of like with airlines: If you boycott an airline for every minor offense, pretty soon you'll have no option but to take the train.
In this case, it's disingenuous to paint an entire ad platform--that does hundreds of millions in revenue[1]--as "awash in mistaken clicks and bot traffic" based on a campaign that ran for just 1.5 days and resulted in 11 clicks. (They say they saw similar results from larger campaigns, but they don't show them.)
But Ok, let's say we take out the generalizations. I get that it's disconcerting for any company to find they were charged for traffic that bounced within a second. In that case you need to look for the root cause, and see if it can be resolved or worked around.
In this case the root cause should be painfully obvious to experienced marketers like the authors: Most of the 11 clicks seems to be from mobile traffic (as seen in their Fullstory report), where it is remarkably easy for users to accidentally click on an ad in their news feed. They do mention this possibility in both the video and the title, but they seem to underestimate the likelihood of this being the root cause, and talk too much about bots instead. I've seen this exact misclick behavior in Twitter and for that reason I stopped advertising there.
Unlike Twitter, however, LinkedIn lets you work around this. They offer a "lead gen" campaign type, which requires two clicks (one on the ad, and one more on the "submit form" button) and sharing of contact information before the advertiser is charged. I've still seen funky results from this--such as users saying they don't recall submitting any form--but in much fewer cases than with simple image ads.
Today, when I run LinkedIn campaigns, it is almost always with lead gen ads. The results are far better than this anecdotal post suggests. Some issues still come up, and I've found that attempting to troubleshoot them leads to a better outcome for the business than dismissing the entire ad platform.
[0] https://www.gkogan.co/blog/how-ad-campaigns-fail/ [1] https://www.businessofapps.com/data/linkedin-statistics/#3