How to have the best Sunday in L.A., according to Paul W. Downs 23%

By Eric Ducker0%

4/17/2026, 3:00:00 AM

BS Summary: This article contains 10 faulty reasoning types, including Optimism Bias, Self-Serving Bias, and Overconfidence Bias, with Attempt to Sell a Product or Service as the most egregious example at 14.5% saturation with 148 hits. Analysis detected 484 faulty-reasoning hits from 1,018 analyzed words, generating a BS Score of 36.1% and a BS Rank of 23% (16,981 of 21,887 articles). This article is better (less manipulative) than 77.60% of the article peer group.

Paul W. 
Downs can’t help it that even on the weekends, his life intersects with “Hacks,” the HBO comedy he co-created and co-showruns with his wife, Lucia Aniello, and their friend Jen Statsky. 
(He also appears on the show as Jimmy LuSaque Jr., the besieged manager of its two stars, played by Emmy winners Jean Smart and Hannah Einbinder.) 
The fifth and final season of “Hacks” premiered last week, but on Downs’ days off, he often finds himself at its previous filming locations or hanging out with cast members who have become like family. 
Downs moved to Los Angeles in 2011, but soon after, he and Aniello were hired to write (and for him to act) on the über-New York show “Broad City,” keeping them away from the West Coast for years. 
Now the couple live in Los Feliz, which they enjoy with their young son. 
“I love Los Feliz because it’s a real neighborhood with restaurants and bars, but also feels close to nature with Griffith Park,” Downs says. 
“Also it’s very central to my Eastside friends and Westside agents.” 
And if he had to live at a local mall, like the character Ava Daniels did in the third season of “Hacks,” which would he choose? 
“It would be the Americana, obviously.” 
Here's how he'd spend a perfect day in L.A. 
10 a.m.: A late rise and a li’l barista 
I'm sleeping in if I can, which I can't because I have a toddler, but let's say I can sleep ’til 10. 
That would be insane. 
Then I’m making coffee at home. 
I’m making it with my 4-year-old because he likes to make my coffee now. 
He always wanted to help, now he really wants to do it on his own. 
I'm still there to supervise, but he does do a lot of it. 
I do batch brew. 
I'm doing Verve Coffee that I'm grinding there, and then I'm brewing four cups because I need my coffee. 
I had a Moccamaster for a long time, but I recently got a Simply Good Coffee. 
There's no plastic  it's all glass and metal. 
11 a.m.: Chocolate croissants for everyone 
We’re driving to Pasadena and we’re going to [Artisanal Goods by] CAR, which is the place to get the best chocolate croissant, I think, in the world. 
I don't just think in L.A., I think they're better than Paris. 
I'm going there with my wife and my kid and I'm having another coffee and some pastry. 
We're ordering three [chocolate croissants]. 
We're not doubling up. 
11:45 a.m.: The family business 
We're driving to Fair Oaks in Pasadena. 
There's a place called T.L. 
Gurley. 
We shot “Hacks” there, actually. 
Not only in Season 1, but also full circle in Season 5. 
We're going to shmay around and look at antiques. 
My kid is going to want to play a vintage pinball machine. 
We're going to find a little piece of art for the house or what have you. 
It’s not necessarily that I'm on the hunt. 
It’s to pass the time and to have some fun. 
If I could do anything and have a leisurely day and take my mind off work, that's what I'm doing. 
People love to interact with my kid when he's there. 
We're really training him to appraise things at a young age. 
My parents are part-time dealers of antiques. 
My grandmother bought and sold antiques. 
It's kind of a family business. 
1:30 pm.: Baguettes and books 
We're driving to Larchmont and we're getting a sandwich at Larchmont Village Wine, Spirits & Cheese. 
I’m doing prosciutto-mozzarella-basil on a baguette. 
Then we're going to Chevalier's Books. 
What's sad is that I'm often not looking for leisure material. 
I'm looking for something that I'm interested in learning more about or writing about, or that they're turning into a show I want to audition for. 
But we're also doing Little Golden Books for my son. 
He's obsessed. 
We're not huge on screen time, so we really encourage the book-buying. 
2:30 p.m.: Cast pool party 
We're having some family fun in the pool and we're doing that until evening. 
We invite people over all the time. 
My sister-in-law is a New Yorker, but she actually wrote last season on “The Rooster” and she's often writing on shows in L.A., so she's often here and she'll have a couple friends come over. 
I know this sounds like a piece of PR or something, but we'll really literally have Hannah [Einbinder] and maybe Mark Indelicato from “Hacks” come over to swim. 
Jen, our co-creator of “Hacks,” will come over. 
6:00 p.m.: Family dinner 
Sometimes we'll order Grá to the house, which is a pizza place in Echo Park  excellent sourdough crust pizza. 
But if we don't do that, an ideal evening is an early dinner at All Time on Hillhurst in Los Feliz. 
We're ordering the ceviche and my son is having all of it and not sharing with anybody at the table. 
8:45 p.m.: A thrilling ending to the day 
After putting my kid to bed, my wife and I, in an ideal world (full disclosure: we haven't done this in two years), we'll watch something together that we've been meaning to watch. 
We have a long list of movies and we either want to revisit or that we haven't seen that we need to watch. 
We don't watch a lot of comedies. 
It's a dream to watch a “Black Bag” or a little espionage thriller. 
We really like that because it's so different than the stuff that we're working on in the day. 
Often the things we watch are things that we admire. 
We like deconstructing it as fans of film and television. 
We do like talking about the making of it, but it's less of a critique and more of a listing of the things we appreciated about it. 
10:30 p.m.: No work tomorrow 
And then it's lovemaking ’til morning on a perfect Sunday. 
If it's a perfect Sunday, there's also a Monday that's off. 
Article reasoning-pattern comparisonThis article: 0.0%Eric Ducker: 0.0%Daily Pilot: 2.9%Confirmation Bias0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.2%Anchoring Bias0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 3.5%Availability Heuristic0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.0%Representativeness Heuristic0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.9%Hindsight Bias0.0%This article: 4.4%Eric Ducker: 0.0%Daily Pilot: 1.9%Overconfidence Bias4.4%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 7.5%Framing Effect0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.9%Loss Aversion0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.9%Status Quo Bias0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.2%Sunk Cost Effect0.0%This article: 12.0%Eric Ducker: 0.0%Daily Pilot: 3.6%Optimism Bias12.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.4%Pessimism Bias0.0%This article: 1.1%Eric Ducker: 0.0%Daily Pilot: 7.8%Negativity Bias1.1%This article: 4.8%Eric Ducker: 0.0%Daily Pilot: 2.2%Self-Serving Bias4.8%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.2%Actor-Observer Bias0.0%This article: 2.2%Eric Ducker: 0.0%Daily Pilot: 1.6%In-Group Bias2.2%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.6%Out-Group Homogeneity Bias0.0%This article: 1.0%Eric Ducker: 0.0%Daily Pilot: 5.1%Halo Effect1.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.2%Horn Effect0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.3%Recency Bias0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.4%Primacy Effect0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.1%Blind-Spot Bias0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.9%Ad Hominem0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.3%Straw Man0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 4.9%Appeal to Authority0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.2%False Dilemma0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.7%Slippery Slope0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.1%Circular Reasoning0.0%This article: 3.6%Eric Ducker: 0.0%Daily Pilot: 4.4%Hasty Generalization3.6%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.3%Red Herring0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.0%Bandwagon0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 5.7%Appeal to Emotion0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.7%Begging the Question0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 2.6%Post Hoc (False Cause)0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.1%Tu Quoque0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.4%Burden of Proof0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.2%Appeal to Nature0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.3%Composition/Division0.0%This article: 1.2%Eric Ducker: 0.0%Daily Pilot: 2.8%Anecdotal1.2%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.1%No True Scotsman0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.1%Middle Ground0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.1%Personal Incredulity0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.2%Special Pleading0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.3%Genetic Fallacy0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.3%Unattributed Quote0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.8%Quote-first Misdirection0.0%This article: 2.8%Eric Ducker: 0.0%Daily Pilot: 6.0%Biased Writer Voice2.8%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 1.5%Indoctrination0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.9%Politically Left Leaning Bias0.0%This article: 0.0%Eric Ducker: 0.0%Daily Pilot: 0.3%Politically Right Leaning Bias0.0%This article: 14.5%Eric Ducker: 0.0%Daily Pilot: 4.0%Attempt to Sell a Product or S…14.5%

1018 words analyzed.

Speakers

1speaker76%attributed speech241writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 14 words • 0.0% coveragePaul W. Downs • 24 words • 0.0% coveragePaul W. Downs • 11 words • 0.0% coverageWriter's voice • 26 words • 0.0% coveragePaul W. Downs • 6 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 9 words • 0.0% coveragePaul W. Downs • 22 words • 0.0% coveragePaul W. Downs • 4 words • 0.0% coveragePaul W. Downs • 6 words • 0.0% coveragePaul W. Downs • 14 words • 0.0% coveragePaul W. Downs • 15 words • 0.0% coveragePaul W. Downs • 13 words • 0.0% coveragePaul W. Downs • 4 words • 0.0% coveragePaul W. Downs • 19 words • 100.0% coveragePaul W. Downs • 16 words • 100.0% coveragePaul W. Downs • 9 words • 0.0% coverageWriter's voice • 6 words • 0.0% coveragePaul W. Downs • 27 words • 100.0% coveragePaul W. Downs • 12 words • 0.0% coveragePaul W. Downs • 17 words • 0.0% coveragePaul W. Downs • 5 words • 0.0% coveragePaul W. Downs • 4 words • 0.0% coverageWriter's voice • 5 words • 0.0% coveragePaul W. Downs • 7 words • 0.0% coveragePaul W. Downs • 5 words • 0.0% coveragePaul W. Downs • 1 words • 0.0% coveragePaul W. Downs • 5 words • 0.0% coveragePaul W. Downs • 12 words • 0.0% coveragePaul W. Downs • 9 words • 0.0% coveragePaul W. Downs • 12 words • 0.0% coveragePaul W. Downs • 16 words • 0.0% coveragePaul W. Downs • 8 words • 0.0% coveragePaul W. Downs • 10 words • 0.0% coveragePaul W. Downs • 20 words • 0.0% coveragePaul W. Downs • 10 words • 0.0% coveragePaul W. Downs • 11 words • 0.0% coveragePaul W. Downs • 7 words • 0.0% coveragePaul W. Downs • 6 words • 0.0% coveragePaul W. Downs • 6 words • 0.0% coverageWriter's voice • 5 words • 0.0% coveragePaul W. Downs • 16 words • 100.0% coveragePaul W. Downs • 6 words • 0.0% coveragePaul W. Downs • 6 words • 100.0% coveragePaul W. Downs • 11 words • 0.0% coveragePaul W. Downs • 26 words • 0.0% coveragePaul W. Downs • 10 words • 100.0% coveragePaul W. Downs • 2 words • 0.0% coveragePaul W. Downs • 12 words • 0.0% coverageWriter's voice • 5 words • 0.0% coveragePaul W. Downs • 14 words • 0.0% coveragePaul W. Downs • 7 words • 0.0% coveragePaul W. Downs • 35 words • 0.0% coveragePaul W. Downs • 28 words • 100.0% coveragePaul W. Downs • 8 words • 0.0% coverageWriter's voice • 4 words • 0.0% coveragePaul W. Downs • 20 words • 100.0% coveragePaul W. Downs • 21 words • 100.0% coveragePaul W. Downs • 20 words • 0.0% coverageWriter's voice • 8 words • 0.0% coveragePaul W. Downs • 33 words • 0.0% coveragePaul W. Downs • 23 words • 0.0% coveragePaul W. Downs • 7 words • 0.0% coveragePaul W. Downs • 13 words • 100.0% coveragePaul W. Downs • 18 words • 0.0% coveragePaul W. Downs • 10 words • 0.0% coveragePaul W. Downs • 10 words • 0.0% coveragePaul W. Downs • 27 words • 0.0% coverageWriter's voice • 5 words • 0.0% coveragePaul W. Downs • 10 words • 0.0% coveragePaul W. Downs • 11 words • 0.0% coverage
Selected voice

Paul W. Downs

47%flagged-word coverage
777 attributed words100% of attributed speech0% writer coverage
0%10.0%20.0%Attempt to Sell a Product +19.0 ptsWriter: 0.0%Paul W. Downs: 19.0%19.0%Biased Writer Voice+3.6 ptsWriter: 0.0%Paul W. Downs: 3.6%3.6%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.