The audio died in the middle of a live television broadcast. A pre-produced segment was rolling, but no one in the production truck could hear a word of it, and while the team briefly hoped the problem was isolated to the truck, seconds later they realized viewers at home couldn’t hear it either. Everyone looked at Bennett Graebner.
Everyone looked at Graebner. He had only a few seconds to decide: stay with the package and hope the audio returned, cut to an unprepared host who had no idea what was happening, or go early to commercial and try to fix the problem there. None of the options was good. Waiting wasn’t neutral. It was simply another decision.
Graebner chose the commercial break. The crew solved the technical problem, rewound the package a few seconds, and aired it successfully. It turned out to be the right decision, but that wasn’t something he could know in the moment. The choice had to be made with incomplete information and under enormous time pressure.
That experience became one more reminder of a lesson television teaches over and over again: certainty almost never arrives before the moment you need to act.
Television is full of decisions like that one, and so is everything else. Some decisions wait politely for more information, and some charge interest while you stall: the job offer with a deadline, the house with other bidders, the conversation that gets harder every week it gets postponed. Bennett Graebner spent nearly two decades making the charging kind, on productions where more than 400 episodes of television were made by people who almost never had all the facts before the cameras rolled.
Weather turned, storylines collapsed, and the schedule moved regardless, so waiting for certainty was rarely on the menu. The cost of deciding early is usually visible. The cost of waiting is usually hidden. Experience taught Graebner that the hidden cost is often the larger one.
That is his working answer to how to make good decisions with imperfect information. Certainty was never the goal. Making the best decision available with what you know today is the goal, and it is a skill rather than a gamble.
The Certainty Trap
Waiting for complete information feels responsible, which is what makes it dangerous. Analysis paralysis, the state where evaluating options replaces choosing one, wears the costume of diligence while options quietly expire in the background.
More research genuinely helps at first, and then it mostly doesn’t. Each additional fact costs time, the facts get more marginal, and somewhere in the process the decision’s window starts closing.
Hidden costs pile up on the waiting side of the ledger. Candidates accept other offers, prices move, competitors ship, and relationships cool, none of which appears on the tidy list of reasons to gather more information first. And while Graebner saw this most clearly in television production, the same dynamic shows up in any business decision where timing matters: waiting doesn’t pause reality, it just lets it move on without you.
Overthinking a decision rarely feels like a decision, which is exactly the trap. Declining to choose is itself a choice, usually for whichever outcome needed your consent the least. Perfectionism about information is procrastination wearing better clothes, and a deadline usually unmasks it.
What Good Deciders Do Instead
Economist Herbert Simon won a Nobel Prize for describing how people choose under bounded rationality, the real-world condition of limited information, limited time, and limited attention. Rather than optimizing endlessly, effective decision-makers take the first option that clears a sensible bar. Satisficing sounds like settling until you price the search, because perfect options cost unlimited time and real ones expire.
Amazon founder Jeff Bezos put a number on the same instinct in his 2016 letter to shareholders: “Most decisions should probably be made with somewhere around 70% of the information you wish you had.” Waiting for 90%, he wrote, usually just means being slow.
The exact percentage matters less than the principle. At some point, additional information stops changing the decision and simply delays it. Knowing where that point is comes with experience.
Bezos also drew a line worth keeping. Reversible decisions are two-way doors that deserve a fast, lightweight process, while the rare irreversible ones deserve real deliberation.
What Bennett Graebner Learned From Deciding on the Clock
Unscripted television is a rolling exercise in partial information, since a producer commits to following a story long before knowing how it ends. Bennett Graebner’s working rules, refined across two decades of that bet, translate directly to rooms without cameras:
- Separate the reversible calls from the permanent ones, and spend real deliberation only on the second kind.
- Give every open question a decision deadline, because an undecided question is unfinished work that compounds.
- Choose with the best information available, then treat whatever arrives next as steering rather than as an indictment.
- Ask what you would decide today if waiting were off the table, since most of the time it already is.
Airdates supply the forcing function that most workplaces have to build deliberately. A schedule that will not move makes the arithmetic honest, since a call made at 80% confidence on Tuesday beats one made at 95% on Saturday when the shoot is Thursday.
One of the hardest lessons Bennett Graebner has learned is to stop judging yesterday’s decisions using today’s information. Every day brings new facts. The question isn’t whether the decision still looks perfect in hindsight. It’s whether it was the best decision that could have been made with what was knowable at the time.
The third rule carries the most weight on set. A story chosen on Tuesday looks different by Friday, and the job is adjusting the plan without relitigating the choice, because the Tuesday version of him decides correctly with the Tuesday facts.
Psychologist Gary Klein offers a tool that fits neatly alongside those rules. His premortem, described in Harvard Business Review, asks a team to imagine the decision has already failed and write down why, before anyone commits. Prospective hindsight of that kind surfaces the risks people were reluctant to name in the planning room, which makes it possible to decide at 70% while knowing exactly where the missing 30% is likeliest to bite.
Should You Trust Your Gut or the Data?
Framed honestly, both are partial information. A gut feeling is compressed experience, reliable roughly in proportion to how many repetitions you have with that specific kind of question, while data is compressed experience borrowed from everyone else. Neither one is certainty, and the choice between them is really a question about whose repetitions to trust.
Graebner’s instincts about people and stories earn their standing the slow way, through thousands of tested calls, which is what makes them usable data rather than mood.
Waiting does win sometimes, and the caveat matters. One-way-door decisions, and moments when decisive information arrives cheaply tomorrow, both justify patience. The skill is recognizing which kind of decision is actually in front of you, rather than defaulting to delay because it feels safer.
Deciding Anyway
Every consequential choice eventually reduces to the same uncomfortable arithmetic: what you know today, weighed against what waiting will cost.
After two decades of making decisions under pressure, Bennett Graebner has a simple philosophy: make the best decision you can with today’s information, then have the humility to change course when tomorrow brings something new. Certainty is never the job. Deciding is.
