Anthropic выпустили Sonnet 5

30 июня вышла Claude Sonnet 5 — новая версия позиционируется как самая агентная в линейке и приближается к флагманской Opus 4.8. Модель лучше справляется со сложными многоуровневыми задачами, устойчива к вредоносным запросам и не генерирует эксплойты. Sonnet 5 доступна на Free-тарифе, но тестирование показало скромные улучшения: хотя работает лучше Sonnet 4.6, её обгоняют конкуренты, включая китайские модели, которые дешевле через API при лучшей…

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Clickstar прекращает работу

Clickstar закрывается. Легендарная пуш-сеть прекращает закуп трафика с 1 августа, полная остановка — 20 августа.

Сетка работала почти 8 лет и была одним из лучших источников качественного трафика на Россию и СНГ. Сейчас пуш-трафик стал слишком ботовым из-за гугловских банов на скрипты сбора.

Что это означает для арбитражников — разбираемся в ста…

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Urgency and scarcity: the loss-aversion research, and when it stops working

Deep dive: Countdown timers and "only 3 left" are everywhere because loss aversion is real. The research also marks a sharp line where these tactics flip from persuasive to repellent — and savvy traffic sits right on that line.

Loss aversion (Kahneman & Tversky's prospect theory) found losses loom roughly twice as large as equivalent gains — people work harder to avoid losing something than to gain it. Scarcity messaging weaponizes this: framing inaction as a loss (the deal, the spot) is more motivating than framing action as a gain. Worchel's cookie experiment showed the same cookies were rated more desirable when scarce. The effect is robust when the scarcity is believed.

That last clause is the whole game. Reactance theory (Brehm) predicts that when people sense manipulation, they push back to reassert autonomy — they do the opposite to prove they can't be pushed. A countdown that resets on refresh, "only 2 left" on a digital product, or a timer on an evergreen offer reads as fake to an experienced audience, triggers reactance, and damages trust for the rest of the page. Affiliate audiences are unusually good at spotting fake scarcity — it's their own toolkit.

The mechanism distinction: genuine scarcity (a real cohort deadline, real inventory) increases value via loss aversion. Manufactured scarcity, once detected, increases perceived risk via the trust hit. Same UI element, opposite sign, decided entirely by credibility.

For affiliate landers, use scarcity only where it's true and verifiable, and never reset timers. A believable soft deadline beats a dramatic fake one that any skeptic can break.

TL;DR:
— Loss aversion makes framing inaction as loss ~2x more motivating than framing action as gain
— Scarcity only works while believed; detected fakery triggers reactance and trust loss (a risk increase)
— Use only real, verifiable scarcity; never reset timers — savvy traffic spots fake instantly

Facebook запретил рекламу онлайн-казино Mr Vegas

Британский ASA запретил рекламу казино Mr Vegas из-за «слишком милых» мультяшных животных в креативах — регулятор счёл, что такой стиль привлекает детей, в том числе через Facebook. Рекламодатель запустил кампанию в феврале, бан вышел в июле. Логика регулятора вызывает вопросы: дети неплатёжеспособны, а таргетировать их на гемблинг бессмысленно.

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В Whatsapp скамят пользователей с помощью поддельных никнеймов

WhatsApp запустил никнеймы — и почти сразу начался скам. Мошенники регистрируют имена, похожие на бренды, звёзд и политиков, с минимальными опечатками.

Индия, где 500 млн пользователей WhatsApp, потребовала от Meta объяснений за 3 дня. Meta говорит, что точные совпадения заблокированы — но одна буква в другом месте защиту не триггерит.

Похоже, п…

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Вышел ZCode - аналог Claude code

Вышел ZCode — десктопный аналог Claude Code от разработчиков GLM-5.2. Работает с API от Anthropic, поддерживает SSH-деплой на сервер, в том числе Linux.

Вместо пошаговых скриптов — система целеполагания Goal: закидываешь сложный промт, агент сам разбивает задачу и выполняет. Плюс управление через Telegram-бота.

Но главная фича — мультиагентность…

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Whitespace isn't empty: the readability research behind "breathing room"

Deep dive: Cramming more onto the first screen feels efficient — more selling per pixel. The reading and comprehension research says dense layouts cost you comprehension and perceived quality, which is the opposite of efficient.

A classic finding (Lin, 2004, and related typography studies) reported that increasing whitespace and margins around text and between paragraphs improved comprehension by around 20% in reading tasks. The mechanism is that whitespace reduces extraneous cognitive load: it groups related elements (proximity is a Gestalt grouping cue), separates unrelated ones, and gives the eye landing points so the scan doesn't blur into a wall.

There's also a perception layer. Studies on visual aesthetics link generous spacing to perceived sophistication and trust — dense, cramped pages read as cheap or spammy, which raises perceived risk before a word is processed. This is partly why "premium" brands use aggressive whitespace: it's signaling quality through the medium itself.

The counterintuitive part for landers: whitespace around your single most important element increases its salience. Isolation is one of the strongest ways to make an element stand out (the isolation/von Restorff effect — distinct items are remembered and attended more). A call-to-action surrounded by clutter competes; the same button with space around it dominates. You make something louder by quieting its neighbors, not by enlarging it.

For affiliate landers, resist filling the first screen. Space around the headline and CTA isn't wasted real estate — it's directing attention and signaling quality, both of which lift conversion.

TL;DR:
— Whitespace cuts extraneous load and has measurably improved comprehension (~20% in reading studies)
— Spacing signals quality/trust; cramped pages read as cheap and raise perceived risk
— Isolate the CTA with space — isolation boosts salience more than enlarging does

Cloudeflare грозит Google блокировкой трафика

Cloudflare объявил: с 15 сентября 2026 года ИИ-краулеры будут заблокированы по умолчанию на всех сайтах с рекламой — включая Googlebot, Applebot и Bingbot.

Главная претензия — к Google: один и тот же бот индексирует страницы и собирает данные для обучения нейросетей, что даёт поисковику нечестное преимущество.

Но есть нюанс, который меняет всю к…

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Гайд: как заработать первые деньги на Pornhub

Pornhub — самый посещаемый адалт-сайт в мире, и на нём действительно можно зарабатывать. Но схема устроена иначе, чем кажется.

Автор залил ролики, набрал 16 000 просмотров — и получил 47 центов встроенной монетизации. Реальные деньги были в другом.

Есть нюансы с верификацией, голосом в роликах и законодательством РФ, которые ломают большинство с…

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Why most lander A/B "wins" are noise — the statistics every optimizer skips

Deep dive: This is the meta-post. Before trusting any tactic above, you need to trust the tests behind it — and most lander A/B tests are statistically incapable of detecting the effects people claim from them.

The core problem is power. To reliably detect a small lift (say 5-10% relative) on a base rate of a few percent, you need thousands of conversions per variant, often tens of thousands of visitors. Most affiliate tests call a winner after a few hundred visits and a handful of conversions. At that volume the confidence interval is so wide it includes "no effect" and "the loser is actually better." The declared 20% lift is mostly sampling noise.

Three specific traps compound it. Peeking: checking results repeatedly and stopping when significance appears inflates false positives dramatically — sequential looks at a fixed-horizon test can push the real error rate from 5% toward 20-30% (this is why peeking is the cardinal A/B sin). Regression to the mean: an early extreme result drifts back toward true value as data accumulates, so "huge early win" usually shrinks. Multiple comparisons: test ten things, expect one false "winner" at p

Deep dive: the "fold" is real, but not where you think

Every few years someone declares the fold dead because "people scroll now." Both halves of that sentence are true, and they don't contradict.

Nielsen Norman Group's eye-tracking aggregate (thousands of sessions across redesigns) keeps landing on the same number: roughly 80% of viewing time happens above the fold, and attention drops sharply — not gradually — at the boundary of the first viewport. Chartbeat's analysis of 2 billion+ pageviews found engagement actually peaks just below the initial fold, then decays. These aren't in conflict. People scroll, but they scroll conditionally. The first screen isn't where they read; it's where they decide whether to read.

The mechanism is a commitment gate. Scroll depth isn't a measure of patience — it's a measure of momentum the top of the page either grants or denies. If your first viewport answers "am I in the right place and is this worth my time," you buy the scroll. If it doesn't, no amount of brilliant copy at 2,000px gets seen.

This reframes the design problem for affiliate landers. You're not trying to fit everything above the fold (a losing fight on mobile). You're trying to make the fold a convincing trailhead — message match to the ad, one concrete claim, one visual that proves it. Everything below exists to be earned.

A practical test: pull your scroll-depth report and find the percentage that reaches 25%. If it's under ~60% on cold traffic, your problem is almost never your offer or your CTA — it's that your first screen failed the commitment gate and most visitors never reached the argument.

TL;DR
— ~80% of attention sits above the fold, but engagement peaks just below it — the fold gates the scroll, it doesn't end it.
— Design the first viewport as a trailhead (answer "right place? worth it?"), not as a container for everything.
— Low 25%-scroll rate means a top-of-page problem, not an offer problem — fix the gate first.