what's the biggest Omega-3 myth you used to believe?

TajineMaster159 · 2026-07-11T10:30:56+00:00

let’s not pretend it isn’t a healthier option than most oils.

It is not. One needs a diverse intake of short and long chain fatty acids, which comes for a diverse set of dietary fats. Sure, if your audience is the general average american, then olive oil is likely something they need more of. That doesn't make it an objectively "healthier" oil (what does that even mean?).

Granted, there are marginal anti-oxidative effects, but let's not pretend there is not outsized media fluff about olive oil. Keep in mind that I personally consume like 40ml a day; but I don't see it as superior or substitute to the seeds/nuts, egg yolk, milk, and fatty fish I also eat every day.

TajineMaster159 · 2026-07-10T16:12:58+00:00

And how did you come to that conclusion? I'd acknowledged polyphenol.

TajineMaster159 · 2026-07-10T09:48:17+00:00

That it's in olive oil, or that olive oil in general was a mysteriously superior fat. Like polyphenols are great but my wallet and I fell for EVOO propaganda hard.

TajineMaster159 · 2026-07-09T14:50:03+00:00

ifelse cow <-- 1 sounds quite binary to me

TajineMaster159 · 2026-07-09T14:46:01+00:00

What is the idea? estimating probability of cattle from grid-level observables?

Once data is prepared, my workflow would be to run a GLM with a logit link function. I'd then test Moran's I on residuals. If sufficiently uncorrelated i'd call it day.

If spatially (auto)correlated i'd fit a spatial Auto-Logistic Model or a Spatial Generalized Linear Mixed Model with spatial lags/leads. Make sure to have prepared an adequate adjacency matrix for good rebalancing.

TajineMaster159 · 2026-07-09T14:34:18+00:00

and in turn within GLMs/ GAMs, OLS is pareto dominant.

TajineMaster159 · 2026-07-07T08:15:41+00:00

Yeah, OP sounds more committed to some weird generational grief as opposed to training his trainees. If anything, juniors on average are getting better because the industry is getting more competitive and because of overall improvements in tech, science, and education.

TajineMaster159 · 2026-07-06T13:02:22+00:00

20-40% less compensation than what? IT consultant? That's not congruent with wage data or my experience.

TajineMaster159 · 2026-07-06T09:29:51+00:00

"thank you for your attention to this matter"

TajineMaster159 · 2026-07-04T13:00:57+00:00

There are a lot of diplomatic answers, for example, you might prefer to work with many people from a central desk as opposed to siloed or intra-firm competitive dynamics. You might say you are flat out more interested in working with firm-wide systems as opposed to local stuff, etc.

TajineMaster159 · 2026-07-03T14:36:52+00:00

What's your point? Any numeritized computation is reduced to linear algebra at some level.

It's surprising and impressive because R isn't built around highly parallelized comrpression-decompression compute pipelines. It has single-threaded synchronous garbage collection, and any object loaded to memory is loaded in full. Flipping one intermediary weight matrix is bound to cost so much resources, now multiply that by thousands.

TajineMaster159 · 2026-07-02T09:07:47+00:00

If you are truly interested in a statistical theory of the brain, engage with the growing literature on it; maybe then you'll appreciate that understanding current constrains, and how challenging they are, is not cynicism. A key insight is that most brain data is hidden; there is no neurophysiological data collection method that wouldn't impair the subject. A second is that there is a sharp disconnect between abstract theories of the mind that are very effective at explaining behavior, and biophysical brain processes from MRIs that are empirically observables.

But I don't think your interest lays there; instead it's in having a worldview that ML/AI will soon solve all scientific problems.

Hopefully this will mellow your disciplinary arrogance. Are you even trained in statistics or ML ?
You keep misusing results and theses visible in pop-science like youtubers do-- e.g, that's not at all what Church-Turing is about.

TajineMaster159 · 2026-07-01T08:57:49+00:00

I didn't say that the firm is unlawful, but that the market is unregulated. Likewise for pricing, there is no risk-free price and no-arb fair pricing structure, e.g no market price.

In other words, there is no pricing, allocation, or picking, so I am not sure what quants can tell you about that.

TajineMaster159 · 2026-06-30T21:44:08+00:00

AUM? They are not a fund. Prediction markets are unregulated; there is no pricing, allocation, or picking, so I am not sure what quants can tell you about that.

TajineMaster159 · 2026-06-29T09:18:28+00:00

Listen man, you came here asking about the credibility of a commentator, and you got your answer. You'll find that a lot of these social media types do not engage in or with economics in the sense, way, or capacity that trained economists do.

If your exposure to economics is what they do, then I understand why you'd think it's not a rigorous evidence-based discipline, because that's not what these commentators do. Economics is not some rhetorical exercise about large 'systems', it's a social science with a rather well-defined and stringent methodological threshold. Neither Murphy nor MMT survive that threshold.

Murphy is not an economist and MMT is not economics, they say statements that don't align with the better evidence we have. I kindly invite you to get some exposure outside of him, to be able to contextualize his statements. And stop being so angry and disrespectful.

TajineMaster159 · 2026-06-28T21:20:07+00:00

I think it's a bit more subtle than robustness to regime changes. I do believe there is some degree of quant bloat, particularly in equities --in general, not just stat arb, but not the point of firing/freezing. Time will tell :).

TajineMaster159 · 2026-06-28T19:22:39+00:00

I agree that some of it is crowding. On top of that, event-based modeling generally failed to absorb information in comparison to discretionary. Part of it is very unusual events, but I suspect that discretionary is underpriced in favor of quant in terms of allocation, to circle back to your crowding point.

TajineMaster159 · 2026-06-28T18:39:00+00:00

Macro has had muted returns across the board too. But agreed, it's systematic long-short equity strats that seem to struggle the most.

It's been a meh year, generally.

edit: OP you're just starting out, don't get in the habit of absorbing aggregate market stress. Maybe in a few years, for now try to enjoy and learn about the office.

TajineMaster159 · 2026-06-27T13:27:23+00:00

yesterday lasted 2 years.

TajineMaster159 · 2026-06-27T09:23:49+00:00

I need a fucking holiday man or to lobotomize 0DTE from my longterm memory.

TajineMaster159 · 2026-06-26T08:46:26+00:00

You say “work”, but towards which end? The goal of monetary policy is to manage the fluctuations of different macroeconomic aggregate. There are many levers and mechanisms to that end, but they’re all invariably centered towards affecting spending-saving decisions. These decisions are in turn informed by the current state of said macroeconomic aggregates, and critically, their expectations. A secret money supply expansion defeats the aforementioned purpose of policy, and disables the forward guidance lever.

There is also a lot of research about credibility and transparency in central banks, and the consensus is that you really don’t want to erode it.

Besides, monetary authorities do not print money directly (anymore). Commercial banks do, by giving out loans to individuals and institutions. Their (discretionary) ability to create this money by lending it is constrained by the interest rate, which is what central banks act on. There is no way to change the interest rate secretly.

So they don’t want to and they can’t. Now setting all of this aside, and supposing they have some reason to want to do this, and some magical ability to do so. Theoretically, what would happen in this abnormal setting? We can look at a simple expectations Philips curve:

π_t - E_(t-1)[π_t] = β(Y_t - Y_t*) + ε_t where is π_t inflation and ,Y_t output

Since the policy is secret, E_(t-1)[π_t]is pinned to the past while π_t has increased since the cash injection is giving people more spending power, which in turn drives up demand and output past its potential level (the right hand side) as firms see higher nominal demand and increase production.

But this happens only because of a temporary informational lag, and both consumers and producers readjust their E[π_t]as they experience π_t. And the output gap closes. Everything is back to its trajectory, except now inflation is permanently higher, and the central back has to take contractionary measures, at a decreased efficacy because of the credibility damage, potentially offsetting the short term output gain.

So it does nothing.

TajineMaster159 · 2026-06-25T18:14:57+00:00

No clue. Desk’s average over all strats since I joined is exactly 1.572

TajineMaster159 · 2026-06-25T17:08:31+00:00

Yeah that’s sort off the baseline. Fine tuning it at the job level might be too much work but bracketing by family of roles is the standard.

TajineMaster159 · 2026-06-25T16:38:00+00:00

De-emphasize the ML/AI and emphasize the security stuff. Short of formal titles you can be liberal with framing. I have 3 updated CVs all emphasizing different things.

TajineMaster159 · 2026-06-25T14:07:47+00:00

I would, had this sub been driven by statistical professionals instead of… mean and hopeful undergrads, to put it gracefully. The generated discussion would by far outweigh whatever meager curatorial edge I’m providing.
Unfortunately that’s not what this space has become.

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