* This industry is highly regulated; but it rarely does help those really in need. If the regulations were very strictly implemented (player wager limits, player time controls, self-regulation), none of the gambling / gaming companies would make any money. For eg: the wager limit are compulsory to be implemented on a daily / weekly / monthly basis; however these numbers are so high, that it rarely makes sense but for the most serious addicts
* Most of the victims are from the already high-risk demographics, as is with tobacco, alcohol, payday loans and drug abuse, the low income, unstable jobs, low literacy, blue collar jobs or are already on social support. The offers by data-analysis is always to target them. I think most of the time - these addicts are just there to get that one chance to make a big win (which almost never happens).
* Near miss is a very old tactic. The interplay of sounds, music, imagery has been very well polished to really give a feel of high end experience (vs plain gameplay). Gamble rounds (double or nothing) at the end of a game are targeted at those twitchy fingers.
* Slot machines work at payouts of 94% - 97% (ie when wagering 1000$ the player will only get 94 - 97$) on a long timeline. So yes, the house edge is quite small. What is problematic is not the money lost but the fact that addiction over a long time, is definitely at the cost of a small fortune.
* I am pretty sure no one has any idea why some slots work and some don't. When they do work, they earn the makers millions though.
However, whenever such numbers come up, I am always sure that these tactics are no different from any industry that is fighting for coveting the attention of the user. I am pretty sure Facebook (or Zynga) has a bigger data science time and data analysis team that these casino companies have to identify the psyches of players and customize the experience to the users / players.
* Disclosure: I have worked in the technical design & implementation of these games.